C203 Tosh

New standards, clinical pathways required to maximize benefits

Point-of-care testing (POCT or POC testing) describes diagnostic tests which are performed at or physically close to a patient. This distinguishes POCT from traditional testing, which involves extracting specimens from a patient and transporting them to a laboratory for analysis. Settings for POC tests range from in-hospital bed sites and primary care offices to patient homes.

Over a half century of use
The POCT era is considered to have begun in 1962, after development of a system that measured blood glucose levels during cardiovascular surgery. The year 1977 saw the US launch of the first POC test for application wholly outside a hospital – the so-called ‘epf’ rapid pregnancy test.

POCT is increasingly used to diagnose and manage a range of diseases, from chronic conditions such as diabetes to acute coronary syndrome. One of the latest additions is a genetic test – CYP2C 19*2 allele for anti-platelet therapy.
Common POC tests includes “blood glucose testing, blood gas and electrolytes analysis, rapid coagulation testing, rapid cardiac markers diagnostics, drugs of abuse screening, urine strips testing, pregnancy testing, fecal occult blood analysis, food pathogens screening, hemoglobin diagnostics, infectious disease testing and cholesterol screening.” Nevertheless, just three tests – urinalysis by dipstick, blood glucose and urine pregnancy – are believed to account for the majority of POCT.

Turnaround time key to POCT appeal
The principal objective of POC testing is to reduce turnaround time (TAT) – a reference to the duration between a test and the obtaining of results which aid in making clinical decisions. In the past, such a process was unavoidable because of the sophistication and size of equipment required for the vast majority of medical diagnostic tests. However, technology developments have since made it possible to perform a growing number of tests outside of the laboratory.

Product miniaturization
Since the late 1980s, one of the key drivers of POCT has been product miniaturization with dedicated onboard integrated circuits. As described in a recent book on biomedical engineering, increasingly sophisticated microdevices have made it feasible to diagnose disease at point-of-care. These include “microfilters, microchannels, microarrays, micropumps, microvalves and microelectronics”, with their mechanical and electrical components “integrated onto chips to analyse and control biological objects at the microscale.” The authors list the key advantages offered by miniaturizing diagnostic tests as compared to centralized laboratory testing:  portability, small size and low power consumption, simpler operation, smaller reagent volumes, faster analysis, parallel analysis, and functional integration of multiple devices.

Healthcare reforms drive POCT
Healthcare reforms have also driven POCT demand.
Spending controls and hospital mergers have led to shorter stays and faster patient turnaround. There have been growing demand for tests in outpatient clinics and patient homes. Test results have been needed quickly, not only for reasons of clinical urgency but also to ease patient waiting lists and reduce backlogs in emergency departments. Accompanying this has been the closure of several large central laboratories, which have further enhanced demand for POCT.

Making a case
The case for POCT has grown with time. In 2004, it was associated with a significant reduction in the time to treatment initiation and a shorter length of stay. More recently, a POCT cardiac marker screening stage at six UK hospitals led to a marked increase in the percentage of successful home discharges.
Such breakthroughs will increase as POCT use grows further, and as the tests become more sophisticated.

Early POC tests were based on the simple transfer of traditional methods from a central laboratory, accompanied by their downscaling to smaller platforms.
Subsequently, unique and innovative assays were designed specifically for POCT (such as the rapid streptococcal antigen test). Wide arrays of POCT-specific analytic methods have also been developed, ranging from simple (such as pH paper for assessing amniotic fluid) to the ultra-sophisticated (for example, thromboelastogram for intraoperative coagulation assessment).

Contemporary POCT systems are usually based on test kits and portable, often handheld, instruments. Many tests are realized as easy-to-use membrane-based trips, often enclosed by a plastic cassette. This requires only a single drop of whole blood, urine or saliva, and they can be performed and interpreted by any general physician within minutes.

Hospital emergency departments
Given its time-sensitive relevance, one of the fastest growing users of POCT have been hospital emergency departments (EDs).
In 2008, a study in  ‘Academic Emergency Medicine’ simulated the impact of reduced turnaround times and established grounds for a “compelling improvement in ED efficiency.” Though its authors concluded that specific outcomes such as the length of stay and throughput in the emergency department warranted further investigation, they categorically recommended POCTs as a means to improve turnaround time.
Over recent years, favourable perspectives on POC tests in the ED have strengthened. At the end of last year, a study in ‘Critical Care’ found POCT increased the number of patients discharged in a timely manner, expedited triage of urgent but non-emergency patients, and decrease delays to treatment initiation. The study quantitatively assessed several conditions such as acute coronary syndrome, venous thromboembolic disease, severe sepsis and stroke, and concluded that POCT, when used effectively, “may alleviate the negative impacts of overcrowding on the safety, effectiveness, and person-centeredness of care in the ED.”
Other POCT users include ICUs as well as endocrinology, cardiology, gastroenterology and hematology.

Primary care remains principal user
The bulk of POC tests are however conducted by primary care physicians. 
In 2014, the ‘British Medical Journal’ published the findings of the first-ever survey of POCT use by primary care physicians in five countries (Australia, Belgium, the Netherlands, the UK and the USA). The study found that blood glucose, urine pregnancy and urine leukocytes or nitrite were the most frequently used POC tests. Overall, more respondents in the UK and the USA reported using POC tests than respondents in the other countries. The widest gap in use of POC test was for fecal occult blood, used by 83% of US doctors against only 2–18% of primary care clinicians in the other countries.
One of the key findings of the ‘British Medical Journal’ study, however, was that there was an unmet need for new POC tests. Included here were tests for D-dimer, troponin, chlamydia, gonorrhea, B-type natriuretic peptide, CRP, glycated hemoglobin, white cell count and hemoglobin, which were desired by more than half of respondents across all the five countries.

Fast growing market
Over the past two-and-a-half decades, the availability and use of POCT has steadily increased. By 2012, nearly 100 companies worldwide were developing, manufacturing or marketing POC tests. One study, cited by the National Institutes of Health in the US, places POCT sales in 2011 at about $15 billion (€13.5 billiion). Of this figure, the US accounted for a share of 55%, Europe for 30% and Asia for 12%. The market is projected to show compound annual growth of 4% to reach $18 billion (€16.2 billion) by 2016.
Further growth in the use of POCT is expected to be driven by increases in accuracy, reliability and convenience. Alongside, one of the biggest catalysts for increased POCT use may consist of quality standards.

The quality challenge
Issues about POCT quality continue to vex experts. Variability in the interpretation of POC test results is a widespread concern, given differences in the education and experience of staff who conduct the tests. In addition, POCT results may also not be comparable across sites (e.g. when patients travel) and differences in specimen types (serum, plasma or whole blood) can impact on results – as compared to those from a traditional central laboratory.
In a laboratory setting, analytical quality is usually assessed by QC (quality control) and QA (quality assurance) procedures. Their aim is “to monitor the stability of the analytical measurement system and to alert the operator to a change in stability”… “that may lead to a medically important error.” While these processes serve a laboratory well, it is unclear whether these processes are relevant, transferable and practical for monitoring quality on POCT devices.

Regulators and POCT in the US and the EU
Future developments are expected to be driven by regulatory bodies.
In the US, CLIA88 (Clinical Laboratory Improvement Amendments of 1988) provided a major impetus for growth in POCT. The rules, published in 1992, expanded the definition of ‘laboratory’ to include any site where a clinical laboratory test occurred (including a patient’s bedside or clinic) and specified quality standards for personnel, patient test management and quality.
One of CLIA88’s biggest contributions to POCT growth was to define tests by complexity (waived, moderate complexity and high complexity control), with minimal quality assurance for the waived category.
CLIA88 has been followed by US federal and state regulations, along with accreditation standards developed by the College of American Pathologists and The Joint Commission. These have established POCT performance guidelines and provided strong incentives to ensure the quality of testing.

In Europe, POCT devices are regulated under the 1998 European Directive 98/79/EC on in vitro diagnostic medical devices, although the term itself is not specifically mentioned. There have since been several amendments, most recently in 2011 (2011/100/EU), as well as standards based on the Directive’s framework.
However, at the European level, specific coverage of POCT is referred by international standard ISO 22870:2006, used in conjunction with ISO 15189 which covers competence and quality in medical laboratories. It is important to note that patient self-testing in a home or community setting is not covered by ISO standards.

The role of ICT
The role of ICT in driving the growth of POCT is also likely to become crucial. In the late 1990s, there were concerns that POCT implementation, especially in the real-time critical care context, was accompanied by little understanding of its information technology requirements.
However, the situation has since changed dramatically, especially as ICT is seen as the only appropriate interface between POC test results and computerized patient records – seen as the means to restructure clinical care pathways.
ICT is also accepted as the best means to standardize care protocols. In 2012, a study found that the impact of point-of-care panel assessment on successful discharge and costs varied markedly from one hospital to another and that outcomes depended on local protocols, staff practices and available facilities. In effect, the study highlighted the importance of optimizing clinical pathways to derive maximum benefit from the reduced turnaround times provided by POCT.

C211 Cook LAMP 1

Point-of-care diagnostics for malaria

In spite of increased publicity in the Western world about malaria and drives to provide mosquito nets, the disease is still endemic in a large part of the world. This article discusses different methods of malaria diagnosis and the role that point-of-care tests can play in the ultimate goal of malaria elimination.

by Dr Jackie Cook

Finding the balance: over- and under-diagnosing malaria
Malaria remains a huge burden in many parts of the world, particularly in sub-Saharan Africa. Despite increased availability of effective treatments and interventions, malaria elimination is still out of reach for many countries. Whilst availability of effective interventions that reduce contact with infected mosquitoes, such as insecticide treated bed-nets or indoor spraying with insecticide are key to reducing malaria prevalence, case management also plays a key role. Many who need treatment are unable to get it, either through lack of access to healthcare, or because infections remain undiagnosed. Conversely, some studies suggest that many patients are receiving anti-malarials unnecessarily due to a tendency to diagnose based solely on clinical symptoms, many of which are similar to other infections, rather than using a diagnostic. In under-resourced settings, this can result in any child presenting with a fever being prescribed malaria drugs. This simultaneously means non-malaria fevers remain undiagnosed and untreated, as well as a large proportion of unnecessary prescriptions for malaria drugs, which increases healthcare costs and the risk of drug resistance, a very potent threat. In order to counteract this, the last few decades have brought a push from health officials, researchers, donors and governments alike to confirm every suspected case of malaria before prescribing treatment.

Microscopy
For many, malaria diagnosis is performed using microscopy, a procedure that is relatively cheap but requires a skilful operator. Malaria is caused by the plasmodium parasite and it undergoes several developmental and replication stages in the human. These stages can be seen through a microscope when blood is prepared on either a thin or thick film and stained, normally, with Giemsa or Wright’s stains. Experienced microscopists can detect down to 1 parasite per microlitre of blood, although the typically quoted sensitivity for microscopy is approximately 100 parasites per microlitre. In reality, the sensitivity of the test depends greatly on the microscopist. In areas where malaria transmission is declining, microscopists can go months without seeing a positive slide, and as such, skills may begin to decline. In addition, the need for well-maintained microscopes and access to slides and stain can mean microscopy is not always available.

Rapid diagnostic tests
The first malaria rapid diagnostic test (RDT) was developed in 1993 and in the decades since many variations have proliferated on the market. RDTs are typically immunochromatograhic tests that use monoclonal antibodies to detect the presence of plasmodium antigens (proteins produced by the parasite) which are present in the blood of infected, or recently infected, individuals. They are generally stable at a range of temperatures and do not require special storage conditions. RDTs require significantly less training for use than microscopy and a positive infection is easy to identify by visualization of a ‘positive’ line, meaning the results are much less subjective. Most RDTs require 15–20 minutes for development, meaning treatment can be given while patients wait at health facilities.

However, there are a few downsides to the use of RDTs. The presence of parasite antigen doesn’t always equate with a current infection, but can signify a recently cleared infection from within the previous two weeks. In addition, several studies have reported the deletion of certain antigens detected by RDTs in plasmodium parasites, meaning false-negative results may be obtained in areas using these types of RDTs [1]. The World Health Organization (WHO), in collaboration with the Foundation for Innovative New Diagnostics (FIND), has set up an RDT product testing programme, an essential quality assurance component considering the huge influx of RDT brands that have popped up in the past 20 years [2]. The reports from the programme make worrying reading with very low sensitivity for some brands, differences between batches of RDT and a general lower sensitivity for non-falciparum infections for nearly all brands.

The hidden reservoir: asymptomatic, low-density infections
In general, the limited sensitivity of both microscopy and RDT (unreliable detection in infections with a parasite density less than 100 parasites per microlitre) is not an issue for symptomatic malaria infections, the majority of which will consist of high parasite densities. However, asymptomatic infections are numerous, in high and low transmission settings. These asymptomatic infections pose a problem for control programmes. The carriers do not feel unwell so have no reason to present to a health facility for testing and yet, they may be infectious to mosquitoes, meaning they pose a risk for onward transmission. In order to detect and treat these asymptomatic infections, malaria programmes are now taking their diagnostics into the community in a strategy termed Mass Screening and Treatment (MSAT). This involves testing everyone within a community regardless of whether they have symptoms. Many of these infections are asymptomatic and therefore also likely to be low-density; hence which test you use can mean the difference between detecting 10 infections or 100 infections. Whilst RDT is ideal for field conditions, studies have shown that they can miss a large proportion of infections that are present [3].

Molecular tests
Polymerase chain reaction

More sensitive diagnostics are available in the terms of molecular tests. The most commonly used is polymerase chain reaction (PCR). Numerous PCR assays have been developed, many based on amplifying the 18S ribosomal RNA (18SrRNA), first published by Snounou and colleagues in 1993 [4]. PCR detects parasite nucleic acids and can detect much lower parasite densities than RDT or microscopy, with tests reportedly able to detect down to 1 parasite per microlitre of blood, as well as being able to accurately distinguish between plasmodium species. However, the number of assays available has resulted in calls for a standardized test so results can be compared across the world. PCR tests are generally performed on blood collected on filter paper but the equipment required for PCR and the expense of maintaining a sterile lab environment precludes PCR from being available in many health facilities. This means that samples need to be sent away, with an often long wait for results. Although more field-friendly PCR methods are in the pipeline, currently, PCR is not generally considered suitable for a point-of-care test, although it’s use in epidemiological studies is undisputed.

Loop-mediated isothermal amplification
Loop-mediated isothermal amplification (LAMP) was first developed in 2000, with the aim to amplify DNA in a sensitive, specific and speedy manner (Figs 1, 2). One of the main advantages is the fact it can be performed under isothermal conditions, and thus averting the need for a thermocycler. LAMP can be thought of as a ‘rough-and-ready’ PCR, as it is also less sensitive to inhibitors present in biological samples, and therefore allows the use of simple and cheap DNA extraction methods. The fast time-to-results and the minimal equipment required make LAMP an attractive option for field diagnosis. In order to make this a viable option, FIND and partners Eiken Chemical Ltd, Japan, and the Hospital for Tropical Diseases (HTD), London, UK have developed a field-stable kit with all reagents freeze-dried into the lid of the reaction tube, which means minimal processing is required. Although still in the development and testing stage, current results of the use of the kit are promising, with strong agreement with PCR results and a considerably higher sensitivity than RDT [5-8]. Whilst seemingly the most sensitive of the point-of-care tests available, there are some downsides to LAMP. Results still take considerably longer than RDT, requiring patients to wait at clinics for 2 hours for results, or leaving the health facility staff with the complicated task of contacting and following up any positive patients. In addition, electricity is required for the processing of samples, making it not practical for many places.

Future for point-of-care diagnostics for malaria
These advances in molecular diagnostics mean infections that would previously have remained undetected can now be confirmed, treated and cleared. Identifying and treating all infections becomes a greater priority as transmission reduces and the possibility of elimination comes into focus. This is occurring in areas around the world such as Swaziland and Zanzibar in Africa and in South East Asia, where the need to eliminate has become ever more important with the emergence of drug-resistant parasites. In these areas, identification of every last parasite is the aim and development of a quick, sensitive and reliable diagnostic is key to that.

As more studies reveal the extent of the low-density parasite reservoir, there is a sense of ‘the more we look the more malaria we will find’. But do we need to find all these infections in order to eliminate malaria? It should be noted that these ‘super-sensitive’ tests are a relatively recent phenomena and that countries have succeeded in malaria elimination without them. The role these low-density parasitemias play in transmission is not fully understood but for now the aim remains to clear the last parasite standing.

References
1. Houze S, Hubert V, Le Pessec G, Le Bras J, Clain J. Combined deletions of pfhrp2 and pfhrp3 genes result in Plasmodium falciparum malaria false-negative rapid diagnostic test. J Clin Microbiol. 2011; 49(7): 2694–2696.
2. WHO, FIND, CDC. Malaria rapid diagnostic test performance: Results of WHO product testing of malaria RDTs: Round 5. 2013; http://www.who.int/malaria/publications/atoz/9789241507554/en/.
3. Cook J, Xu W, Msellem M, Vonk M, Bergström B, Gosling R, Al-Mafazy AW, McElroy P, Molteni F, Abass AK, Garimo I, Ramsan M, Ali A, Mårtensson A, Björkman A. Mass screening and treatment on the basis of results of a plasmodium falciparum-specific rapid diagnostic test did not reduce malaria incidence in Zanzibar. J Infect Dis. 2015; 211(9): 1476–1483.
4. Snounou G, Viriyakosol S, Zhu XP, Jarra W, Pinheiro L, do Rosario VE, Thaithong S, Brown KN. High sensitivity of detection of human malaria parasites by the use of nested polymerase chain reaction. Mol Biochem Parasitol. 1993; 61(2): 315–320.
5. Hopkins H, González IJ, Polley SD, Angutoko P, Ategeka J, Asiimwe C, Agaba B, Kyabayinze DJ, Sutherland CJ, Perkins MD, Bell D. Highly sensitive detection of malaria parasitemia in a malaria-endemic setting: performance of a new loop-mediated isothermal amplification kit in a remote clinic in Uganda. J Infect Dis. 2013; 208(4): 645–652.
6. Polley SD, González IJ, Mohamed D, Daly R, Bowers K, Watson J, Mewse E, Armstrong M, Gray C, Perkins MD, Bell D, Kanda H, Tomita N, Kubota Y, Mori Y, Chiodini PL, Sutherland CJ. Clinical evaluation of a loop-mediated amplification kit for diagnosis of imported malaria. J Infect Dis. 2013; 208(4): 637–644.
7. Aydin-Schmidt B, Xu W, González IJ, Polley SD, Bell D, Shakely D, Msellem MI, Björkman A, Mårtensson A. Loop mediated isothermal amplification (LAMP) accurately detects malaria DNA from filter paper blood samples of low density parasitaemias. PLoS One 2014; 9(8): e103905.
8. Cook J, Aydin-Schmidt B, González IJ, Bell D, Edlund E, Nassor MH, Msellem M, Ali A, Abass AK, Mårtensson A, Björkman A. Loop-mediated isothermal amplification (LAMP) for point-of-care detection of asymptomatic low-density malaria parasite carriers in Zanzibar. Malar J. 2015; 14(1): 43.

The author
Jackie Cook PhD
London School of Hygiene and Tropical Medicine, London, UK

E-mail: Jackie.cook@lshtm.ac.uk

C194 Punyadeera HPV Pathway crop

Tumour markers for oropharyngeal cancers

Head and neck cancers (HNC) are a globally prevalent malignancy. Despite the efforts of reducing several known etiological factors such as smoking and drinking to lower the incidence of HNC at the population level, the incidence of oropharyngeal cancers (OPC) is on the rise. OPC is caused by human papillomavirus (HPV) and most prevalent in a younger age group. This review critically examines the epidemiology, biology and laboratory detection of OPC and provides future insights into combating this debilitating disease.

by X. C. Sun, P. Tran and Dr C. Punyadeera

Introduction
Head and neck cancers (HNC) are the sixth most prevalent neoplasm in the world with approximately 650 000 cases diagnosed each year [1–5]. Oral and oropharyngeal squamous cell carcinomas (OSCC & OPSCC) together constitute 90% of malignancies in the head and neck region. Several known traditional etiological factors such as tobacco and alcohol use are recognized in the development of these cancers. More recently, human papillomavirus (HPV) infection is recognized as an additional risk factor for the development of a subset of HNCs, mainly OPSCC [6].

In recent decades, the overall incidence of HNC caused by smoking and alcohol is on the decline. In contrast, HPV+ve OPSCC is on the rise. In developed countries such as the United States of America, the incidence of HPV+ve OPSCC is escalating, with predictions that more than 50% of patients will be HPV+ve by 2030 [7]. Interestingly, patients who are HPV+ve OPSCC are relatively younger than HPV-ve HNC patients and are therefore less likely to have any history of chronic or excessive alcohol or tobacco use but are more likely to engage in social habits that increase the likelihood of HPV transmission (oral sex). The clear distinction between HPV+ve OPSCC and HPV-ve cases provides multiple downstream inputs that can be applied into clinical treatment modalities. Conversely, it provides an exciting opportunity for the development of early diagnostic and screening methods to combat HNC at a population level through prevention strategies.

HPV+ve OPSCC are both clinically and biologically distinct tumour entities compared with HPV-ve counterparts. Classically, HPV+ve OPSCC patients present with a molecular profile that includes retinoblastoma (pRB) pathway inactivation, p53 degradation and p16 upregulation. Clinically, HPV+ve OPSCC patients often present with smaller primary tumours but more advanced nodal disease, similar rates of metastasis and differing patterns of metastasis [8, 9]. In addition, patients with HPV+ve tumours have better prognosis with 5-year survival at 75% (c.f. 25% for HPV-ve patients). There are a number of techniques for the diagnosis and detection of HPV+ve OPSCC, including histopathology, polymerase chain reaction (PCR) and immunohistochemistry (IHC).

Biology
Upon integration of HPV DNA into the host genome, E6 and E7 viral oncoproteins activate a number of pathways within the host cell. The primary molecular target of E7 is the Rb protein and the E7 viral oncoprotein reprogrammes terminally differentiated epithelial cells to re-enter the cell cycle. E7 disrupts the Rb–E2F complex leading to the release of E2F, subsequently resulting in cyclin A and E activation and entry of the cell into S phase. As a consequence p16 is overexpressed [10, 11]. The E6-associated protein (E6-AP) is a specific ubiquitin-ligase that binds to the viral E6 oncoprotein, resulting in p53 degradation. E6 and E7 have also been shown to interfere with growth inhibitory cytokines [such as tumour necrosis factor-α (TNFα)] and to disrupt the mitochondrial apoptotic pathway by interfering with pro-apoptotic BAK and BAX [10]. E6 and E7 alone are insufficient to cause malignant cell transformation; however, due to their interference with proliferation checkpoints and apoptotic pathways, it is certain that the accumulation and damaged DNA, mitotic defects and integration of foreign DNA substantially increase the risk of malignant progression [10].

Detection methods
A number of diagnostic methods are currently available to evaluate whether a tumour is HPV+ve. These methods include both indirect as well as the direct methods; i.e. the latter includes the detection of HPV genomic DNA (gDNA). Besides clinical examination, current methods for the diagnosis of HPV status include tissue biopsy staining for p16 (indirect method). Biopsies may fail when tumours are too small to access or when they are located in hidden anatomical sites [10]. Other methods include the detection of HPV gDNA using PCR and in situ hybridization (ISH) as well as the detection of HPV viral transcripts E6 and E7 by PCR.

p16 detection by IHC is widely used in cervical cancer cases for the detection of HPV and it is being studied extensively in the field of HNC [12]. During immortalization of host cells, the E7 protein binds to Rb, resulting in the compensatory overexpression of the tumour suppressor gene p16 in HPV-infected tumour cells. Therefore, IHC detection of p16 is considered as an indirect surrogate marker to determine the presence of HPV [11]. However, there are pitfalls associated with p16 IHC detection. A number of studies have shown suboptimal specificity of IHC [10, 11]. As a consequence of the extreme anatomical and biological heterogeneity in HNC, elevation of p16 by non-viral materials may contribute to a considerable false positive rate [11]. Although it has been reported that p16-positive patients have a better prognosis and increased radiosensitivity, it has been advised that p16 detection by IHC alone cannot accurately identify HPV infection in HNC [12].

Detection of HPV gDNA is a widely used method because of its high sensitivity and cost-effectiveness. Common primers (MY09/MY11 and GP5/GP6) that target the L1 open reading frame are used to detect wide-spectrum HPV genotypes [11]. However, standard PCR primers do not allow detection of specific HPV genotypes [10]. In addition, the target L1 region could also be deleted upon viral integration, which may affect sensitivity of the test [10, 11]. Although, specific E6 and E7 primers have been designed and used to overcome L1 deletion, this method still lacks the ability to distinguish stromal/tumour and episomal/integrated DNA materials and is prone to contamination interference, which undermines the clinical usefulness [11].

The HPV DNA ISH method is unique because of its high specificity and the ability to be evaluated microscopically. The visible hybridization signals that precipitate within the nuclei help distinguish integrated and episomal DNA [11]. It is noteworthy that the presence of HPV DNA detected by ISH significantly correlates with p16 detection by IHC. [10]. However, ISH methods carry lower sensitivity compared to its excellent specificity [11]. The detection of HPV-16 viral transcripts E6 and E7 can highlight whether a patient is suffering from persistent infection – information that is clinically more valuable [12]. However, because of the fragile nature of mRNA, formalin-fixed paraffin-embedded (FFPE) specimens are often not ideal for RNA analysis and frozen fresh specimen are required [12].

The detection of HPV-specific IgG in serum is a useful biomarker to determine previous and current HPV infection status [13]. Serological biomarkers are not site-specific, and can arise due to HPV infections at sites other than the oral cavity, hence potentially affecting the specificity of the assay.

The effect of Gardasil™
From treatment and management of HPV-related diseases, the paradigm of HPV care has shifted to a preventative approach since the breakthrough introduction of the HPV vaccine, Gardasil™ (Merck & Co.). The biologic basis of HPV vaccines relies on the mechanism of neutralizing antibodies generated against virus-like particles (VLP), which consist of the major capsid protein HPV L1 [10]. The quadrivalent HPV 6/11/16/18 vaccine Gardasil™ was licensed by the FDA to prevent cervical, vaginal and vulvar infections in women in 2006 and genital warts in men in 2009, followed by the licensing of bivalent HPV 16/18 vaccine Cervarix™ (GlaxoSmithKline), in women in 2009 [14].

The benefits of HPV vaccination for the oral cavity include not only the biologically-plausible direct effect on oral infections, but also the sequential oral infection reduction following genital infection reduction, due to the sexually transmitted nature of HPV. To date, there are only a few studies examining the effect of Gardasil on oral infection; however, the results showed a promising outlook with high vaccine efficacy (as high as 93% in 4 years time, as recorded by randomized controlled trial in Costa Rica) [15] and reduced viral prevalence (oral prevalence dropped to 1.4% from 9.3% in the 15–23 age group in youth clinics in Sweden) [16].

Future outlook
As previously mentioned, HPV-related OPSCC involve a new segment of the population, which is distinctively different to the traditional HNC patient cohort caused by excessive smoking and drinking. This requires clinicians to conduct thorough cancer screening of at-risk groups. Such screening programmes should pay particular attention to cervical lymph nodes as some subtypes of HNC, especially OPSCC, involve hard-to-examine areas for clinical visual examination.

As a result of the sexually transmitted nature of HPV, some studies have advocated routine sexual behaviour education in clinical practice. However, this practice carries inherent controversies of sexual harassment and confidentiality [17]. Public awareness campaigns have been argued to be a more efficient preventative means in altering patients’ behaviour. Studies have shown that many oral health practitioners have limited knowledge with regards to HPV-related HNC and HPV vaccinations [17]. Professional bodies and health authorities are required to address this knowledge gap by establishing new clinical guidelines and using continuing educational methods, in order to effectively control the rising trend of HPV-related HNC.

Conclusion
All current diagnostic methods require excision of tumour tissue and this can be challenging when they are located in hidden sites. Efforts have been made globally to develop a less invasive, more cost-effective and clinically-relevant test. Serology tests that detect HPV-specific IgG have been shown to indicate viral presence and are linked with prognostication; however, this method inherently lacks site specificity [10]. Oral specimens, more specifically oral rinse, have shown promise in this field. Oral rinse samples not only are non-invasive and cost-effective, the proximity of collection to the area of interest ensures the localized sampling field. It is also important to note that shedding of normal cells into the oral cavity/oral pharynx may interfere with and/or decrease the HPV detection level [10]. OraRisk® HPV test, uses oral rinses for HPV detection [10]. Translational collaborations between scientists and clinicians have resulted in an assortment of tumour markers and diagnostic techniques for OPSCC. However, these need to be tested in clinical trials to determine the cost-effectiveness.

Acknowledgments
This work is supported by Garnett Passé & Rodney Williams Memorial Foundation and the Queensland Centre for Head and Neck Cancer funded by Atlantic Philanthropies, the Queensland Government and the Princess Alexandra Hospital.

References
1. Pfaffe T, Cooper-White J, Beyerlein P, Kostner K, Punyadeera C. Diagnostic potential of saliva: current state and future applications. Clin Chem. 2011; 57(5): 675–687.
2. Nagadia R, Pandit P, Coman WB, Cooper-White J, Punyadeera C. miRNAs in head and neck cancer revisited. Cell Oncol (Dordr). 2013; 36(1): 1–7.
3. Ovchinnikov DA, Cooper MA, Pandit P, Coman WB, Cooper-White JJ, Keith P, Wolvetang EJ, Slowey PD, Punyadeera C. Tumor-suppressor gene promoter hypermethylation in saliva of head and neck cancer patients. Transl Oncol. 2012; 5(5): 321–326.
4. Kulasinghe A, Perry C, Jovanovic L, Nelson C, Punyadeera C. Circulating tumour cells in metastatic head and neck cancers. Int J Cancer 2015; 136(11): 2515–2523.
5. Ovchinnikov DA, Wan Y, Coman WB, Pandit P, Cooper-White JJ, Herman JG, Punyadeera C. DNA methylation at the novel CpG sites in the promoter of MED15/PCQAP gene as a biomarker for head and neck cancers. Biomark Insights 2014; 9: 53–60.
6. Warnakulasuriya S. Global epidemiology of oral and oropharyngeal cancer. Oral Oncol. 2009; 45(4–5): 309–316.
7. Chaturvedi AK. Epidemiology and clinical aspects of HPV in head and neck cancers. Head Neck Pathol. 2012; 6(Suppl 1): S16–24.
8. Galbraith NS. Infectious disease control. BMJ 1990; 300(6738): 1477–1478.
9. Powell NG, Evans M. Human papillomavirus-associated head and neck cancer: oncogenic mechanisms, epidemiology and clinical behaviour. Diagn Histopathol. 2015; 21(2): 49–64.
10. Chai RC, Lambie D, Verma M, Punyadeera C. Current trends in the etiology and diagnosis of HPV-related head and neck cancers. Cancer Med. 2015; doi: 10.1002/cam4.424.
11. El-Naggar AK, Westra WH. p16 expression as a surrogate marker for HPV-related oropharyngeal carcinoma: a guide for interpretative relevance and consistency. Head Neck 2012; 34(4): 459–461.
12. Bussu F, et al. HPV infection in squamous cell carcinomas arising from different mucosal sites of the head and neck region. Is p16 immunohistochemistry a reliable surrogate marker? Br J Cancer 2013; 108(5): 1157–1162.
13. Castle PE, Shields T, Kirnbauer R, Manos MM, Burk RD, Glass AG, Scott DR, Sherman ME, Schiffman M. Sexual behavior, human papillomavirus type 16 (HPV 16) infection, and HPV 16 seropositivity. Sex Transm Dis. 2002; 29(3): 182–187.
14. Sanders AE, Slade GD, Patton LL. National prevalence of oral HPV infection and related risk factors in the U.S. adult population. Oral Dis. 2012; 18(5): 430–441.
15. Herrero R, Quint W, Hildesheim A, Gonzalez P, Struijk L, Katki HA, Porras C, Schiffman M, Rodriguez AC, Solomon D, Jimenez S, Schiller JT, Lowy DR, van Doorn LJ, Wacholder S, Kreimer AR; CVT Vaccine Group. Reduced prevalence of oral human papillomavirus (HPV) 4 years after bivalent HPV vaccination in a randomized clinical trial in Costa Rica. PLoS One 2013; 8(7): e68329.
16. Grün N, Ährlund-Richter A, Franzén J, Mirzaie L, Marions L, Ramqvist T, Dalianis T. Oral human papillomavirus (HPV) prevalence in youth and cervical HPV prevalence in women attending a youth clinic in Sweden, a follow up-study 2013-2014 after gradual introduction of public HPV vaccination. Infect Dis (Lond). 2015; 47(1): 57–61.
17. Daley E, DeBate R, Dodd V, Dyer K, Fuhrmann H, Helmy H, Smith SA. Exploring awareness, attitudes, and perceived role among oral health providers regarding HPV-related oral cancers. J Public Health Dent. 2011; 71(2): 136–142.
18. Salazar C, Calvopiña D, Punyadeera C. miRNAs in human papilloma virus associated oral and oropharyngeal squamous cell carcinomas. Expert Rev Mol Diagn. 2014; 14(8): 1033–1040.

The authors

Xiaohang Charles Sun1, Peter Tran1 and Chamindie Punyadeera*2 MSc, PhD
1School of Dentistry, The University of Queensland, Brisbane, Australia
2The Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.

*Corresponding author
E-mail: chamindie.punyadeera@qut.edu.au

C205 Algeciras Figure ddPCR manuscript cropped

Detection of von Hippel–Lindau (VHL) gene copy number variation

Detection of copy number variations (CNV) in the VHL gene is part of the genetic workup of VHL-related tumours. Current methods for CNV determination have complex workflows and limitations. Digital droplet PCR is a promising methodology that could be used for CNV determination. Its advantages include shorter turnaround time, decreased DNA input and superior precision.

by Dragana Milosevic, Dr Stefan K. Grebe, Dr Alicia Algeciras-Schimnich

Background
Von Hippel-Lindau (VHL) disease is an autosomal dominant cancer syndrome with an incidence of approximately 1 in 36,000 live births. It predisposes affected individuals to the development of five main types of neoplasms: retinal angioma (>90% penetrance), cerebellar hemangioblastoma (>80% penetrance), clear-cell renal cell carcinoma (~75% penetrance), spinal hemangioblastoma (~50% penetrance), and pheochromocytoma (~30% penetrance). The disease is caused by mutations or large deletions in the VHL tumour suppressor gene (VHL). The VHL gene is located on chromosome 3p25-26 and encodes a protein that is involved in ubiquitination and degradation of a variety of proteins, most notably hypoxia-inducible factor (HIF) [1]. HIF induces expression of genes that promote cell survival and angiogenesis under conditions of hypoxia. It is believed that diminished HIF degradation due to inactivation of the VHL protein causes the tumours in VHL disease. Tumours form when the remaining intact copy of the VHL gene is somatically inactivated in target tissues.

VHL patients are subdivided in two groups, based on the genotype/phenotype correlations; those at low risk of developing pheochromocytoma are designated type I, whereas those with a high risk of pheochromocytoma (with or without renal cell carcinoma) are classified as type II. Deletions in the VHL gene are more common in type II VHL syndrome [2, 3]. To date, there have been more than 300 germline mutations and large deletions identified in the VHL gene that cause loss of function [2]. Germline loss-of-function point mutations and small deletions or insertions accounts for approximately 70–80% of cases; whereas large germline deletions of one copy of the VHL gene accounts for approximately 20–30% of cases.

VHL genetic testing
The clinical diagnosis of VHL disease is suspected in individuals who present with one or several of the characteristic tumours described above. Molecular genetic testing of VHL is performed to confirm the clinical diagnosis. The genetic testing includes sequencing of the three exons of VHL gene and evaluation of copy number variations (CNV) to assess deletions of large regions of the gene. Historically, detection of these large deletions was done by Southern blot. Today, most clinical laboratories offering CNV determination use multiplex ligation probe amplification (MLPA)-based assays. MLPA is a method based on sequence specific probe hybridization, ligation and PCR amplification and detection of multiple targets with a single set of universal primers. CNVs are detected by comparison of the signal from each target region to control genes and normal control samples.

Although MLPA-based assays are of superior quality and more robust than previous technologies, technical success of MLPA assays is dependent on input of high quantities (at least 400ng of germline DNA) of high quality DNA. Although less labour intensive than Southern blotting, the MLPA work flow is still more complex than PCR-based assays and typically takes two days until completion. Finally, MLPA does not allow for absolute quantification and cannot distinguish copy numbers greater than three with high accuracy.

Digital droplet PCR
Digital droplet PCR (ddPCR) is a methodology that has gained favour as a robust alternative with improved precision to quantitative real-time PCR (qPCR) for DNA quantification. DdPCR also lends itself to exact CNV determination, detection of rare variants, translocations, and/or point mutations (SNP genotyping).

DdPCR is based on traditional PCR amplification and fluorescent probe-based detection methods, but partitions each reaction into 15 000–20 000 nanodroplets. Provided that the starting DNA concentration is not too high, some of these reactions will contain one or more target DNA molecules, whereas others will not contain any. Those with at least one target DNA molecule will yield an amplification product, while those without won’t. Quantification is based on counting the proportion of droplets that show amplification, using a microfluidic counting device. The proportion of reactions with and without amplification obeys Poisson statistics and allows back-calculation of the starting concentration based on the distribution function. When enough droplets are used, copy number ascertainment is of unprecedented accuracy and reproducibility (CVs of 2–10%) [4]. Compared to standard qPCR methods, ddPCR eliminates the need for standard curves and measures both target and reference DNA within the same well. Applications where ddPCR has been used include: rare allele detection in heterogeneous tumours, assessment of tumour burden by analysis of peripheral body fluids (mainly blood), non-invasive prenatal diagnostics, viral load detection, CNV, assays with limited sample material such as single cell gene expression and archival formalin-fixed paraffin-embedded (FFPE) samples, DNA quality control tests before sequencing, and validation of low frequency mutations identified by sequencing.

Recently, ddPCR has become commercially available in a format that allows for rapid microfluidic analysis of thousands of droplets per sample making it practical for routine use in clinical laboratories. A recent study on the analytical performance of ddPCR has shown greater precision (CVs decreased by 37–86%) and improved day-to-day reproducibility and comparable sensitivity to real-time PCR for absolute quantification of microRNAs [5]. A study that evaluated the use of ddPCR to detect BCR-ABL1 fusion transcripts demonstrated that ddPCR is able to achieve lower limit of detection and quantification than currently used in quantitative PCR methods [6].

Our group has evaluated ddPCR for VHL CNV and shown improved performance compared to MLPA [7]. The method showed 100% concordance with the MLPA method and 100% self-concordance within and between runs. The method showed reproducible results with DNA inputs as low as 10 ng, a 40-fold DNA-input reduction compared with MLPA. Because of this advantage, difficult specimen types, such as archival FFPE specimens, are now capable of being characterized for VHL CNVs, a feat previously impossible by MPLA, because of the often poor DNA quality of such samples (Fig. 1). Additionally, same-day results are available with the ddPCR method, reducing the total run-time from 48 hours for the MLPA method to 3 hours.

One limitation of current ddPCR platforms is the limited ability for multiplexing. For example the Bio-Rad’s ddPCR system can detect only two colours (FAM and HEX), limiting the number of genes that could be evaluated simultaneously in a single reaction. Development of platforms that allow greater multiplexing should, therefore, further facilitate the adaptation of this technology in clinical laboratories.

Conclusions
Improvement of current methods for VHL CNV testing is desired to obtained accurate and cost-effective results in clinical laboratories. Currently used methods are still labour intensive and not suitable for rapid turnaround time. DdPCR is an elegant adaptation of the current quantitative PCR format and has the potential to be applied widely in clinical laboratories. For VHL CNV, ddPCR provides a greatly improved turnaround time and requires only minimal nucleic acid input that does not have to be of the highest quality. With no need for standard curves or controls, ddPCR overcomes the issues associated with traditional qPCR, while increasing both robustness (superior sensitivity, specificity, and precision) and utility in other specimen types such as paraffin-embedded tissue, circulating cell-free DNA, circulating tumour cells, and microRNA detection [8–10].

References
1. Richards FM. Molecular pathology of von Hippel–Lindau disease and the VHL tumor suppressor gene. Expert Rev Mol Med. 2001; 3: 1–27. DOI: http://dx.doi.org/10.1017/S1462399401002654.
2. Maher ER, Kaelin WG Jr. von Hippel-Lindau disease. Medicine 1997; 76: 381–391.
3. Hes FJ, Höppener JW, Lips CJ. Clinical review 155: pheochromocytoma in von Hippel-Lindau disease. J Clin Endocrinol Metab. 2003; 88: 969–974.
4. Pohl G, Shih IeM. Principle and applications of digital PCR. Expert Mol Rev Diagn. 2004; 4: 41–47.
5. Hindson CM, Chevillet JR, Briggs HA, Gallichotte EN, Ruf IK, Vessella RL, Tewari M. Absolute quantification by droplet digital PCR versus analog real-time PCR. Nat Methods 2013; 10: 1003–1005.
6. Jennings LJ, George D, Czech J, Yu M, Joseph L. Detection and quantification of BCR-ABL1 fusion transcripts by droplet digital PCR. J Mol Diagn. 2014; 16(2): 174–179.
7. Milosevic D, Grebe SK, Algeciras-Schimnich A. Detection of Von Hippel-Lindau (VHL) gene copy number variations using digital droplet PCR. Clin Chem. 2014; 60(10S): S194.
8. Wang J, Ramakrishnan R, Tang Z, Fan W, Kluge A, Dowlati A, Jones RC, Ma PC. Quantifying EGFR alterations in the lung cancer genome with nanofluidic digital pcr arrays. Clin. Chem. 2010; 56: 623–632.
9. Lo YM, Lun FM, Chan KC, Tsui NB, Chong KC, Lau TK, Leung TY, Zee BC, Cantor CR, Chiu RW. Digital PCR for the molecular detection of fetal chromosomal aneuploidy. Proc. Natl Acad Sci U S A 2007; 104: 13116–13121.
10. Pinheiro LB, Coleman VA, Hindson CM, Herrmann J, Hindson BJ, Bhat S, Emslie KR. Evaluation of a droplet digital polymerase chain reaction format for DNA copy number quantification. Anal Chem. 2012; 84: 1003–1011.

The authors
Dragana Milosevic MS; Stefan K. Grebe MD, PhD; Alicia Algeciras-Schimnich* PhD
Department of Laboratory Medicine and Pathology, Rochester, MN, USA

*Corresponding author
E-mail: Algeciras.Alicia@mayo.edu

C206 Morreau Fig 1 ED AS cropped

Diagnostically challenging cases: distinguishing primary from secondary ovarian tumours

Tumours found in the ovaries can be either from primary ovarian tumour processes or metastases (secondary tumours) foremost from colorectal cancer (CRC), appendiceal tumours or stomach cancer. Correctly distinguishing between these tumour subsets using hematoxylin-eosin staining in combination with immunohistochemistry can be problematic [1–3], but is crucial for correct treatment choice. Mutation profiles, generated in a fast and cost-effective way by (targeted) Next Generation Sequencing (NGS), can assist in correctly diagnosing ovarian tumours.

by Stijn Crobach and Prof. Hans Morreau

Background
The ovaries are a preferential location for metastases from, among others, colon, stomach, appendiceal, breast and endometrium carcinomas. The percentage of secondary ovarian tumours (metastases), varies in several reports ranging from 8–30% [4, 5]. Several reasons can be given to explain why the range of percentages is so broad. First, studies are different by design. Some studies are based on autopsy findings, others on prophylactic oophorectomies. Second, differences in incidence of primary tumours can cause a variance in patterns of metastases. For example, stomach cancer has a higher incidence in Japan than in many other countries; therefore, metastases of stomach cancer to the ovaries are expected to be more common in Japan. In general, however, the gastrointestinal tract (GIT) seems to be the main source of ovarian metastases [5].

Macroscopic and histologic approaches
A gross distinction between primary and secondary ovarian tumours can be made taking tumour size and unilaterality versus bilaterality into account [6]. Following the decision tree depicted in Figure 1, it is possible to estimate whether an ovarian tumour is a primary tumour or a metastasis. A unilateral ovarian tumour with a diameter larger than 10 cm is probably a primary tumour. All bilateral and unilateral tumours smaller than 10 cm are much more likely to be metastases.

The histologic characteristics of metastatic GIT ovarian tumours can resemble primary endometrioid and mucinous ovarian tumours, but not serous papillary or clear cell tumours. Thus, based on histology a subset of primary ovarian tumours does not cause diagnostic doubt about the origin of the malignancy. Furthermore, other histologic findings can assist in defining the malignancy. For example, on the one hand, surface involvement by malignant epithelial cells is much more often seen in metastases than in primary ovarian tumours. On the other hand, however, an expansile growth pattern is more often seen in primary ovarian tumours. So, with the help of histopathological findings the characterization of a primary origin or a metastatic process becomes more achievable.

Immunohistochemical approaches
The logical next step in differentiating primary ovarian tumours from metastases is with the use of immunohistochemistry. For example, primary ovarian tumours are classically positive for keratin 7 and negative for keratin 20, whereas colorectal tumours show the opposed staining pattern (keratin 7 negative, keratin 20 positive) [7]. Other markers can also be used, not only to rule out an ovarian origin of the tumour but also to get an idea about the location of the primary tumour. Positivity of intestinal markers [such as carcinoembryonic antigen (CEA) and caudal type homeobox 2 (CDX-2)] can be an argument for an intestinal origin of the tumour cells [8].

Furthermore, when a colon carcinoma is already diagnosed before the ovarian tumour is discovered, the staining profile of the metastasis can be compared with the primary tumour. However, in up to 38% of cases the detection of ovarian metastases precedes the detection of the primary tumours. Also, secondary primary ovarian tumours can occur in patients that anamnestically suffered from another malignancy, complicating the diagnostic procedures. In practice, immunohistochemistry is frequently not fully discriminating. As mentioned, primary ovarian tumours tend to have a Ker7+/Ker20− immunoprofile and colonic metastases a Ker7−/Ker20+ immunoprofile. Nevertheless, keratin 7 positivity can be seen in proximal located GIT tumours, and keratin 20 positivity can also be seen in primary ovarian malignancies. In Figure 2, a guided immunohistochemical decision scheme is shown for complex cases.

Molecular diagnostic approaches
With the combined use of clinical information, histologic features and immunohistochemical staining patterns, differentiating primary tumours from metastases is possible in a substantial subset of cases. With a history of a colorectal tumour and the presentation of a large ovarian mass a few years later showing a similar immunoprofile, it is not difficult to decide that this tumour is a metastasis. Nevertheless, there are cases that are not as clear-cut. In those cases tumour size, unilaterality versus bilaterality and the histologic findings are not discriminating enough to solve the challenge. New approaches using massive parallel DNA sequencing (Next Generation Sequencing; NGS) have emerged in recent years.

Cancer driver genes (oncogenes and tumour suppressor genes) can be screened for DNA mutations in different tumour types. In the Catalogue Of Somatic Mutations In Cancer (COSMIC; http://cancer.sanger.ac.uk/cosmic), literature on these profiles has been compiled [9]. It was hoped that comparing mutational profiles of primary ovarian tumours versus metastases from different organs would reveal specific mutation patterns and/or mutation types in different tumour types.

NGS enables the screening of a large number of genes in a fast and cost-effective way. Previously, Sanger DNA sequencing was used to detect mutations in clinically relevant genes. However, screening complete genes and multiple genes in this way is a time-consuming process. Now, with the introduction of the disruptive NGS technology, it is possible to sequence multiple genes at the same time. NGS will become a standard technique in diagnostics for identifying gene mutations, chromosomal rearrangements and RNA expression/mRNA patterns [10]. One would expect that large scale screening of molecular alterations will results in very specific profiles per tumour type. Each tumour type could be defined by subsets of mutated genes. However, recent studies show that the mutation profiles do not differ so much between tumour types [11]. A few well-known so-called cancer driver genes seem to be important in many malignancies. Other (passenger) mutations, which are also needed in tumorigenesis, seem to be interchangeable. Apparently, there is wide overlap in mutation profiles. Looking at mutations described in the COSMIC database or The Cancer Genome Atlas (TCGA) at the current time, similar mutations can be seen in both primary ovarian tumours and metastases, although with different frequencies. The latter would suggest that the applicability of such tests is limited. However, a more select approach shows that certain genes can be discriminatory.

For example, CTNNB1 mutations are found in primary endometrioid carcinoma of the ovary. CTNNB1 mutations are also found in colon tumours, but only in mismatch repair deficient colon tumours, that do not tend to metastasize to the ovary. This reasoning could also be followed for APC, which is frequently mutated in colon carcinomas but not typically in mucinous and endometrioid primary ovarian carcinomas. However, genes such as these, which show such a ‘black-and-white’ phenomenon, are sparse. Therefore, mutation profiles that are used to guide clinical decision taking will probably be based on combining information from multiple genes. Most of these genes will not provide significant differences on their own, but a combination of odds-ratios will make one diagnosis more probable than the other.

Along with solutions at a mutational level, characterizing the transcriptome, methylation patterns and copy numbers of a tumour could also provide useful information. This field of ‘omics’ has developed rapidly in recent years. In diagnostically challenging cases from unknown primary tumours (UPT) or alternatively named carcinoma of unknown primary (CUP), expression array based assays were developed in order to identify the primary tumours. Genomics will also probably become effective in determining the origin of the tumour. Furthermore, in depth comparison of molecular features of synchronously presenting tumours at different sites might reveal whether the tumours have arisen independently or are clonally related. The readout of these tests can be seen in the context of increased odds-ratios. The use of such tests is still in a premature phase, and not used routinely in clinical practice.

Summary
In conclusion, a combination of the various molecular features will hopefully reveal specific molecular profiles that can be used to correctly identify the origin of malignancies in problematic cases. These techniques are applicable on ovarian tumours, to determine whether tumours are primary ovarian in origin or metastases to the ovaries [12].

References
1. Prat J. Ovarian carcinomas, including secondary tumors: diagnostically challenging areas. Mod Pathol. 2005; 18(Suppl 2): S99–111.
2. Young RH. From Krukenberg to today: the ever present problems posed by metastatic tumors in the ovary. Part II. Adv Anat Pathol. 2007; 14: 149–177.
3. Leen SL, Singh N. Pathology of primary and metastatic mucinous ovarian neoplasms. J Clin Pathol. 2012; 65: 591–595.
4. Moore RG, Chung M, Granai CO, Gajewski W, Steinhoff MM. Incidence of metastasis to the ovaries from nongenital tract primary tumors. Gynecol Oncol. 2004; 93: 87–91.
5. de Waal YR, Thomas CM, Oei AL, Sweep FC, Massuger LF. Secondary ovarian malignancies: frequency, origin, and characteristics. Int J Gynecol Cancer 2009; 19: 1160–1165.
6. Yemelyanova AV, Vang R, Judson K, Wu LS, Ronnett BM. Distinction of primary and metastatic mucinous tumors involving the ovary: analysis of size and laterality data by primary site with reevaluation of an algorithm for tumor classification. Am J Surg Pathol. 2008; 32: 128–138.
7. Ji H, Isacson C, Seidman JD, Kurman RJ, Ronnett BM. Cytokeratins 7 and 20, Dpc4, and MUC5AC in the distinction of metastatic mucinous carcinomas in the ovary from primary ovarian mucinous tumors: Dpc4 assists in identifying metastatic pancreatic carcinomas. Int J Gynecol Pathol. 2002; 21: 391–400.
8. Groisman GM, Meir A, Sabo E. The value of Cdx2 immunostaining in differentiating primary ovarian carcinomas from colonic carcinomas metastatic to the ovaries. Int J Gynecol Pathol. 2004; 23: 52–57.
9. Bamford S, Dawson E, Forbes S, Clements J, Pettett R, Dogan A, Flanagan A, Teague J, Futreal PA, Stratton MR, Wooster R. The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website. Br J Cancer 2004; 91: 355–358.
10. Natrajan R, Reis-Filho JS. Next-generation sequencing applied to molecular diagnostics. Expert Rev Mol Diagn. 2011; 11: 425–444.
11. Vogelstein B, Papadopoulos N, Velculescu VE, Zhou S, Diaz LA Jr, Kinzler KW. Cancer genome landscapes. Science 2013; 339: 1546–1558.
12. Crobach S, Ruano D, van Eijk R, Fleuren GJ, Minderhout I, Snowdowne R, Tops C, van Wezel T, Morreau H. Target-enriched next-generation sequencing reveals differences between primary and secondary ovarian tumors in formalin-fixed, paraffin-embedded tissue. J Mol Diagn 2015; 17: 193–200.

The authors
Stijn Crobach BSc; Hans Morreau MD, PhD
Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands

*Corresponding author
E-mail: j.morreau@lumc.nl

C207 Martin Crockard

Rapid DNA mutational profiling for Familial Hypercholesterolemia

Since the mapping of the human genome was completed over a decade ago, our knowledge of genetic drivers of disease continues to evolve at an ever-quickening pace. Consequently, genetic testing and pharmacogenomics have become common within the healthcare system and have generated the knowledge that has empowered us to both understand and influence our lifelong health through pre-emptive intervention.  
Progress in medical genomics and its impact on healthcare cannot be understated; from genotyping patients to predict drug response, to stratifying patients according to the risk of a disease, molecular testing is having a very positive impact on many patient treatment pathways.
Undoubtedly, we are now more aware and in control of our health than ever before. It is no surprise then that the molecular diagnostic market has become the fastest growing segment of the IVD industry with assays serving the gamut of disease areas and breaking new boundaries in personalized healthcare. Despite the public appetite and availability of powerful molecular diagnostic assays that can unequivocally diagnose genetic disorders, their use has not gained universal acceptance. Many traditional diagnostic tests continue to under-diagnose, or diagnostic testing is not attempted, leading to missed opportunities for early and appropriate therapy intervention of potentially life-threatening diseases. One prime example where a molecular diagnostic approach can improve health is mutation profiling for Familial Hypercholesterolemia (FH).

Familial Hypercholesterolemia
Familial Hypercholesterolemia (FH) is a genetic disorder of lipoprotein metabolism. It is a common autosomal dominant, or inherited, disease which affects the plasma clearance of LDL-cholesterol (LDL-C), resulting in premature onset of cardiovascular disease (CVD) and a higher mortality risk.

Early diagnosis of FH is very advantageous as by the time heterozygous FH sufferers enter early adulthood they will have accumulated years of continuous build-up of fatty or lipid masses in arterial walls and are at one hundred-fold greater risk of a heart attack than their non-FH peers. If left untreated, men and women with heterozygous FH with total cholesterol levels of 8–15 mmol/L typically develop coronary heart disease (CHD) before age 55 and 60, while homozygotes with total cholesterol levels of 12–30 mmol/L typically develop CHD very early in life and if untreated die before age 20.
Clinical diagnosis of FH relies on five criteria: family history, clinical history of premature CHD, physical examination for xanthomas and corneal arcus, very high LDL cholesterol on repeated measurements, and / or a causative mutation detected by molecular genetics. To formally quantify this, a number of sets of statistically and genetically validated criteria have been devised; namely the Dutch Lipid Clinic Network Criteria and the Simon Broome Criteria. These classify suspected cases into definite, possible and probable diagnoses of FH. In the absence of definitive diagnosis through detection of a causative mutation using molecular genetics, clinical diagnosis could miss a considerable proportion of FH patients, particularly those with a mild phenotype and the pediatric population in whom the phenotype has not appeared yet.

The UK, US and international guidelines now recommend that probable or possible FH patients undergo a DNA test to confirm the diagnosis of FH. Recommendations also advocate that once an activating mutation has been found in one family member (the index case), cascade screening of that mutation in first degree relatives of the index case should proceed.  Cascade screening using a molecular assay can thus identify index family members who may otherwise be asymptomatic.

The good news is that if detected early, FH can be treated successfully with lipid lowering therapy and lifestyle changes.  In comparison to other hyperlipidemias, FH therapy tends to be more aggressive, so definitive diagnosis has additional benefits in determining care packages.  Statin drug therapy significantly reduces the morbidity and mortality from premature coronary disease in FH, particularly if affected individuals are identified and treated in childhood or early adulthood. Accurate and early diagnosis of specific mutations can result in a better overall outcome for patients through the prescribing of tailored treatments to reduce morbidity and mortality from premature cardiovascular disease. Different mutations can dictate different directions of management, such as the poorer response to lipid-lowering therapy with certain LDLR mutations. The identity of the gene involved can potentially aid the clinician to decide on how aggressive the treatment strategy will be.

Mutation diagnosis also provides clarity, and can help with an individual’s understanding and acceptance of their condition. Also a greater compliance with cholesterol lowering medication is observed with those who have been genetically diagnosed with FH.

Mutational profiling of FH
Currently, ~1200 mutations have been documented worldwide in LDLR; these affect all functional domains of the LDL receptor protein and include single-nucleotide mutations, copy number variations, and splicing mutations throughout the LDLR gene. A single mutation, Arg3500Gln, is the only common FH-related mutation in APOB, while c.1120G>T mutation is predominately detected in PCSK9. Heterozygous LDLR, APOB, and PCSK9 mutations are found in >90%, ~5%, and ~1%, respectively, of heterozygous FH subjects with a causative mutation. Prevalence varies geographically.

The abundance of different FH mutations can make genetic testing labour-intensive and costly, with many laboratories defaulting to performing expensive and lengthy Next Generation Sequencing (NGS) tests in an effort to ensure a comprehensive mutational screen. However, as our understanding of the genetic drivers of FH, as well as common population-specific mutations, increases, novel assays and techniques are being developed to meet the needs facing clinical genetics laboratories, including cost, throughput and time to result.

Randox Laboratories have developed The Familial Hypercholesterolaemia (FH) Arrays I and II that are rapid, simple and accurate diagnostic tests which enable simultaneous detection of 40 FH-causing mutations (20 mutations per array) within the LDLR, ApoB and PCSK9 genes. The assay is based on multiplex PCR followed by biochip array hybridization. Using mutation rate data from a study of 500 UK and Ireland families with genetically-confirmed FH, the Randox FH Arrays are capable of detecting approximately 71% of activating mutations in this population. The mutations will also be detected in other geographical regions.

The assay can be completed from extracted DNA to an easy-to-interpret result report in 3 hours, with the requirement for only 20ng of genomic DNA per array. The system can be used to detect small base changes, insertions and deletions within the same multiplex PCR, allowing addition of new FH mutational targets if required. The arrays are designed for use on the Evidence Investigator (Randox Laboratories Limited, Crumlin, UK). This instrument has been developed alongside Randox’s proprietary Biochip Array Technology (BAT), a multiplex testing platform founded on ELISA principles that currently has application within clinical immunoassays, drug development R&D, clinical research, forensic and clinical toxicology, veterinary drug residues and molecular diagnostics.

FH Array I and II workflow

Randox’s multiplex assays, such as FH Array I and II, have been specifically designed to detect the most common mutations, provide a cost-effective and clinically relevant alternative to NGS testing. Targeting the most commonly detected mutations in a given population enables diagnosis within hours rather than months. Where a mutation is identified in an index patient, cascade testing of family members only requires the mutation in question to be targeted; therefore negating the use of broad profiling approaches such as NGS in this setting.

Conclusion
FH is a common yet underdiagnosed condition that poses a significant risk to public health worldwide. In 2008, cardiovascular diseases were the leading cause of non-communicable deaths worldwide, with an estimated mortality rate of 17 million people. Raised cholesterol was attributed to 2.6 million deaths. Understanding a person’s genetic predisposition to cardiovascular disease through genetic testing will allow patients to receive appropriate therapeutic and interventional treatment to reduce morbidity and mortality associated with cardiovascular disease.
Pioneering multiplex diagnostic assays, tailored to incorporate the relevant FH-causing mutations, provide a promising future for both genetic laboratories, where a rapid, cost-effective approach to determine mutational status in cases of suspected FH is enabled, and the patient, whose treatment and care pathway is managed effectively.

The author
Martin Crockard, PhD
Randox Laboratories Ltd.
55 Diamond Road, Crumlin, Co. Antrim
U.K.

C204 Euroimmun Fig1

Complete HPV detection and typing in cervical cancer prevention

Cervical cancer is a major burden worldwide with significant mortality, especially in developing countries. Human papillomavirus (HPV) analysis is gaining ground as the primary screening modality for the early diagnosis and prevention of cervical carcinoma. Direct pathogen detection allows an infection to be identified before cell changes have even taken place. Thus, interventional measures can be applied before the cancer even develops, helping to reduce the overall incidence and mortality rates. The EUROArray HPV molecular diagnostic microarray provides highly sensitive detection and typing of all known high- and low-risk anogenital HPV in one reaction. With fully automated data analysis it is particularly well suited to the high-throughput requirements of routine screening.

Human papillomaviruses
Human papillomaviruses are uncoated double-stranded DNA viruses which infect epithelial cells of the skin and mucous membranes. They are transmitted by sexual contact. Infection is assumed to occur via tiny lesions in the basal cells of the epithelium. Thus, the most frequent place of infection is the transformation zone of the cervix, where dividing basal cells lie near to the surface. The size of the cells, their histology and the duration of the lesion can influence the number of cells infected. The course and outcome of the infection depends on the HPV type, the anatomy of the infection site and the differentiation status of the host cells.
Infections with HPV are always local and are not accompanied by viremia. Following infection, the viral DNA is replicated in the host cell nuclei. Viral proteins produced in the infected cells can trigger uncontrolled tumour-like growth of the cells. This is, depending on the infecting HPV subtype, mostly benign, leading to warts at the site of infection. However, some HPV types can induce malignant changes, particularly cervical cancer. A significant proportion of vaginal, penile, anal and head and neck carcinomas are also assumed to be caused by HPV infection.
HPV are the most frequent sexually transmitted viruses. The worldwide prevalence of HPV infection is estimated to be 2 to 44% in women and 4 to 45% in men, with regional variations depending on culture and the corresponding sexual activity. Viral transmission from mother to newborn during birth can also occur, even with subclinical infections. HPV infection does not lead to life-long immunity and reinfection with the same virus is possible.

HPV subtypes

Around 130 types of HPV have so far been described of which 30 infect exclusively the skin and mucous membranes in the anogenital area. HPV are divided into two groups according to their oncogenic potential. High-risk HPV cause cervical carcinoma. Low-risk HPV alone do not induce tumours, but cause non-malignant tissue changes. Concurrent infections with multiple HPV subtypes are common and known to increase the risk of malignant cell transformations.
Of the high-risk anogenital types, HPV 16 and HPV 18 are responsible for around 70% of cervical carcinomas. HPV 16 is found in 50 to 60% of cases and HPV 18 in 10 to 20%. Other types classified as high-risk by the WHO are 31, 33, 35, 39, 45, 51, 52, 56, 58, 59 and 66. Types 26, 53, 68, 73 and 82 have also been detected in cervical carcinoma and should be considered as high-risk types.
Of the low-risk types, HPV 6 and 11 are the main causative agents of genital warts (condylomata acuminata, fig warts). Further low-risk types are 40, 42, 43, 44, 54, 61, 70, 72, 81 and 89.

Cervical carcinoma
HPV infection is a prerequisite for the development of cervical carcinoma. However, HPV infection does not necessarily lead to cancer. Most infected women eliminate the virus within two years. If the virus remains detectable for longer than 18 months, the infection is considered to be persistent. A persistent infection, in particular with a high-risk HPV subtype, increases the risk of developing cervical carcinoma by around 300-fold.
HPV infections are often asymptomatic and tend to remain unnoticed. The initial stages of cervical carcinoma also proceed without pain, and the only symptom may be light bleeding. With increased tumour size, the cancer manifests with a blood-tinged, sweet smelling discharge.

Around 528,000 new cases of cervical carcinoma occur annually worldwide, making it the fourth most frequent cancer in women after breast, colorectal and lung cancers. It is also the fourth most common cause of cancer mortality, causing approximately 266,000 deaths in 2012 (International Agency for Research on Cancer).
In the early stages, treatment involves removal of the altered tissue by conisation. In later stages of the disease, the uterus and surrounding tissue must be removed.

Role of HPV detection and typing
Along with the current diagnostic gold standard, the Papanicolaou (Pap) test, HPV direct detection plays an important role in the early diagnosis of cervical carcinoma. In contrast to the Pap test, which is used to investigate cervical cells for pathological changes, PCR-based methods detect viral nucleic acids directly, and can thus identify an HPV infection at a very early stage before morphological cell changes have even occurred. Moreover, while the Pap test is based on subjective evaluation, HPV detection represents an objective as well as extremely sensitive test method.
In HPV screening it is crucial to differentiate between high- and low-risk types and also to discriminate between different high-risk viruses. A positive result for high-risk HPV indicates an increased risk for cervical carcinoma, which can then be minimized by more frequent follow-up examinations to detect morphological cell changes at an early stage. A positive result for low-risk HPV can help to clarify uncomfortable and embarrassing symptoms for patients. Since low-risk HPV can also cause mild dysplasia, HPV subtyping is also useful for excluding a high-risk HPV infection and a corresponding risk of cervical cancer in these cases. Women who are HPV negative can forgo Pap smears for a longer time interval, based on the recommendations of the respective professional societies.
The PCR detection strategy is a critical aspect of direct HPV analysis. Tests with primer or probe systems based on conserved genes like L1 may yield false negative results in some cases due to loss of these genes during integration of the viral DNA into the host DNA. The highest possible detection sensitivity is achieved using the viral oncogenes E6/E7. Detection of variable sequences in these genes enables differentiation of the different HPV subtypes.

Microarray for complete HPV typing
A standardized microarray based on PCR detection of E6/E7 has been developed for complete HPV typing in routine diagnosis. Using an extensive panel of specific primers and probes, the EUROArray HPV detects all thirty genitally relevant HPV subtypes in one test, distinguishing eighteen high-risk subtypes that may trigger cancer (16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73, 82) and twelve low-risk subtypes that cause benign warts (6, 11, 40, 42, 43, 44, 54, 61, 70, 72, 81, 89). Multiple infections are reliably identified, and primary and persistent infections can be differentiated.

Simple procedure with automated evaluation
The EUROArray procedure (Figure 1) is extremely easy to perform and does not require any in-depth molecular biology knowledge. DNA prepared from patient cervical smear samples is first amplified by a single multiplex polymerase chain reaction (PCR). The fluorescently-labelled PCR products are then incubated with biochip microarray slides (Figure 2) containing immobilized complementary DNA probes. Specific binding (hybridization) of the PCR products to their corresponding microarray spots is detected using a specialized microarray scanner.
In contrast to manually evaluated tests, the results are evaluated (Figure 3) and interpreted fully automatically by user-friendly software (EUROArrayScan). A detailed result report (Figure 4) is produced for each patient and all data is documented and archived. Meticulously designed primers and probes, ready-to-use PCR components and integrated controls all contribute to the reliability of the analysis. The entire EUROArray process from sample arrival to report release is IVD validated and CE registered, supporting quality management in diagnostic laboratories.

Conclusion
As evidence mounts about the efficacy of HPV testing for primary cervical cancer screening, multiplex microarrays are poised to become a major tool in prevention programmes worldwide. The EUROArray HPV, in particular, is ideally positioned for high-throughput HPV screening, providing fast and sensitive detection of all high- and low-risk anogenital HPV types combined with fully automated data analysis.

The author
Jacqueline Gosink, PhD
EUROIMMUN AG
Seekamp 31
23560 Luebeck
Germany
E-mail: j.gosink@euroimmun.de

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Introducing the DxN VERIS molecular diagnostics system from Beckman Coulter, Inc.

Delegates at ECCMID 2015, held in Copenhagen from 25th to 28th April 2015, attended a symposium introducing Beckman Coulter’s new DxN VERIS Molecular Diagnostics System.*  DxN VERIS provides a fully automated sample to result platform with true single sample random access, integrating sample introduction, nucleic acid extraction, reaction setup, real-time PCR amplification, detection and results interpretation into a single system that is set to revolutionize laboratory workflows.
Speakers from four of the 10 DxN VERIS beta study sites shared their experiences and results from comparative evaluations of this new system. 

Meeting molecular diagnostic needs
By way of introduction, Hervé Fleury described the molecular diagnostic needs in Europe, where laboratories are becoming fewer and larger, both in the public and private sectors. The number of molecular scientists available for routine tasks is also decreasing, he said, and there is a need for the level of automation, from preanalytics to analytical, that the DxN VERIS will bring.
He then described the DxN VERIS technology, which is able to provide results in approximately 75 minutes for DNA targets and in around 110 minutes for RNA targets, performing in excess of 150 and 100 results in 8 hours for DNA and RNA targets respectively. CE marked DxN VERIS assays for human cytomegalovirus (CMV) and hepatitis B virus (HBV) are already available, in addition to assays for hepatitis C virus (HCV) and human immunodeficiency virus (HIV).  DxN VERIS products in the pipeline include assays for Chlamydia trachomatis and Neisseria gonorrhea (CT/NG), MRSA (screen), Clostridium difficile, respiratory virus multiplex and human papilloma virus (HPV).

Excellent performance criteria
All four speakers at the ECCMID Symposium described excellent analytical and clinical performance criteria for the VERIS assays evaluated. 
Jacques Izopet reported very good analytical performance results for all four VERIS assays that are currently available (table 1).  In addition, these assays demonstrated good agreement with an alternative method (Cobas® Ampliprep/ Cobas® TaqMan™).  Significantly, in a patient monitoring setting, the VERIS CMV assay demonstrated overlapping patterns compared to this alternative for plasma samples and compared to a whole blood reference method (figure 1).

Rafael Delgado then went on to present the results from his evaluation of the VERIS CMV and HBV assays.  At his laboratory, both assays were extremely sensitive and specific, exhibited a high linearity and repeatability, and showed good correlation with an alternative method (Cobas Ampliprep/ Cobas TaqMan*) (figure 2). In addition, the system demonstrated no carry over when known high positive samples were interspersed among known negative samples.

Rafael Delgado concluded that the overall performance and easy to use design of the DxN VERIS platform facilitated the introduction of this technology in the laboratory and that the DxN VERIS CMV and HBV viral load assays are helpful new solutions for patient management.

In his evaluation of the DxN VERIS HBV assay, Duncan Whittaker observed excellent precision (within and between run), with a standard deviation of ≤ 0.12, and a limit of detection of 7.99 IU/mL, which is less than the manufacturer’s claim of 10 IU/mL.  He described the existing method at the Sheffield laboratory as very manual (with separate extraction and amplification systems) which was adequate when they received just 10-12 HBV samples every two weeks but which struggles to cope now that they are receiving up to 80 samples per week. 

Duncan Whittaker reported that the quantitative results from the VERIS assay were similar to their exisitng method (Qiagen) (figure 3) with improved precision at lower levels (table 2).  He was also able to demonstrate excellent performance and reproducibility across HBV genotypes.  In conclusion, he stated that the DxN VERIS Molecular Diagnostics System offers significant improvements in laboratory workflow and time.

Finally, Giovanni Gesu also shared his results from the evaluation of the DxN VERIS HBV assay.  At the Niguarda ca’ Granda Hospital in Milan, DxN VERIS HBV demonstrated excellent within and between run precision (SD ≤ 0.156), linearity (1.63 – 8.82 log IU/mL) and sensitivity (limit of detection 6.82 IU/mL), and performed well compared to an alternative HBV real time method (Abbott m2000).

In order to demonstrate the potential workflow and throughput efficiences that the DxN VERIS platform could achieve, Giovanni Gesu applied the throughput capabilities of this new system to a typical day in his laboratory, in which 33 CMV, 17 HBV, 26 HCV and 21 HIV samples were received.  With samples arriving at two hour intervals throughout the day between 10am and 4pm, the true single sample random access capability of the DxN VERIS platform combined with assay runtimes of around 70 minutes for DNA tests and around 110 minutes for RNA tests, would mean that samples would not  need to be batched and that all results could be reported by 6pm on the same day (figure 4).
 
Conclusions
In conclusion, each of the speakers at the ECCMID Symposium agreed that the analytical performance of the DxN VERIS assays evaluated was excellent, and they compared well to other molecular diagnostic assays currently available.  In addition, the sample-to- result automation and true single sample random access of the DxN VERIS Molecular Diagnostics System offer workflow improvements and laboratory efficiencies.

For further information about the DxN VERIS Molecular Diagnostics System and the DxN VERIS assays currently available, please contact: Tiffany Page, Senior Pan European Marketing Manager Molecular Diagnostics, Email: info@beckmanmolecular.com

*Not for sale or distribution in the U.S.; not available in all markets.
** TaqMan® is a registered trademark of Roche Molecular Systems, Inc. Used under permission and license.

Beckman Coulter, the stylized logo, DxN and VERIS are trademarks of Beckman Coulter, Inc. Beckman Coulter and the stylized logo are registered in the USPTO.

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