Prostate cancer is the most common cancer in men and diagnosis involves a combination of assessments. Levels of the biomarker prostate-specific antigen (PSA) are commonly measured, but do not always equate to cancer status. Testing of PSA in combination with other biomarkers may help to improve diagnostic and prognostic accuracy, as well as minimizing overdiagnosis as well as unnecessary intervention. This article provides a summary of the information currently known about biomarkers showing promise for use in prostate cancer screening.
by Dr Alexandra Tabakin, Dr Sung Un Bang and Dr Isaac Y. Kim
Introduction
Prostate cancer is the most commonly diagnosed cancer type in the USA and second leading cause of cancer deaths in men. In 2018, there will be an estimated 164 690 new cases with an estimated 29 430 deaths [1]. Although many prostate cancers are indolent in nature and can be safely monitored with active surveillance, a significant proportion of patients will require intervention with surgery, radiation, or other therapies. One of the major challenges in treating prostate cancer is risk stratification and differentiating clinically significant prostate cancers in order to avoid overdiagnosis and overtreatment [2]. To do so, patients undergo risk stratification, which conventionally includes a combination of prostate-specific antigen (PSA) screening, digital rectal exam (DRE), trans-rectal ultrasonography (TRUS)-guided biopsy. Currently clinically insignificant prostate cancer, according to Epstein criteria, is defined as cancer with preoperative PSA <10ng/ml, clinical stage <T1c, Gleason score <6, PSA density <0.15, <2 positive biopsy cores, and <50% cancer involvement in any core [3–5]. However, as we learn more about the heterogeneity of prostate cancer tumours, various serum biomarkers have been investigated to improve diagnostic and prognostic accuracy and minimize treatment. In this review, we discuss various biomarkers and their utilization for the prediction of clinically significant prostate cancer.
Serum biomarkers
PSA
PSA, or prostate-specific antigen, is a serine protease released by the prostate. PSA gained notoriety in the 1980s when it was reported to have various uses including screening, monitoring disease progression, and detecting recurrence of the cancer. As PSA screening for prostate cancer increased, the incidence of prostate cancer also rose in the 1990s. However, PSA only has a 25–40% specificity rate for prostate cancer and can be elevated with infection, trauma, and benign prostatic hyperplasia (BPH) [6]. In fact, about 15% of men with a low level of PSA (<4.0 ng/ml) have prostate cancer [7].
Because the harms of biopsy and prostate cancer treatment may outweigh the benefits in some patients with clinically insignificant prostate cancer, efforts have been made to improve the validity of PSA in differentiating benign conditions and prostate cancer. One such effort is the use of free PSA; those with an elevated PSA and a lower serum percentage of free PSA (%f-PSA) are more likely to have BPH rather than prostate cancer [8]. The Prostate Health Index (PHI) formula incorporates serum total PSA, free PSA, and the [−2]proPSA to discriminate Gleason 3+4 and greater cancers with 90% sensitivity and 17% specificity [9]. 4K score is another novel test which is comprised of total PSA, free PSA, intact PSA, and human kallikrein-related peptidase 2 to detect clinically significant prostate cancer and discern those who would benefit from a prostate biopsy while preventing 30–58% of biopsies [10].
PAP
Prostatic acid phosphatase (PAP) was the first popularized prostate cancer serum biomarker, but was eventually replaced by PSA, as it is less sensitive in diagnosing prostate cancer and detecting recurrence. Elevated PAP level has been associated with a high risk of bone metastases [11], significantly shortened overall survival [12] as well as disease-free survival [13], and increased risk of biochemical recurrence [14]. Interestingly, recent studies have shown that PAP may be useful in detecting high-risk clinically significant prostate cancer patients; it is speculated that PAP may be associated with micro-metastatic disease prior to treatment, and therefore, predict response to treatment [15].
NLR, ANC, ALC
Inflammation and tissue microenvironment are important factors in cancer development. Although the temporal relationship is not well established, a lymphocyte-mediated immune response is thought to occur early in the development of prostate cancer. Neutrophil-to-lymphocyte ratio (NLR) compares the activity of both neutrophils and lymphocytes in the inflammatory response. NLR is a useful prognostic biomarker in mCRPC, where a higher score correlates less relative lymphocyte activity and a worse prognosis. When looking at localized low-risk prostate cancer, studies have shown that NLR is not associated with upstaging, upgrading, or biochemical recurrence. However, increased absolute lymphocyte count (ALC) and absolute neutrophil count (ANC) were associated with upstaging and lower 5-year biochemical recurrence-free survival. More development on these markers may guide clinicians in re-stratifying patients who meet conventional criteria for low-risk prostate cancer [16].
Urine biomarkers
PCA3
Urinary prostate cancer antigen 3 (PCA3) is among the most promising non-invasive biomarker among non-PSA based tests, as it is overexpressed in over 95% of prostate cancers [6]. PCA3 is a long noncoding RNA collected from shed prostate cells during urination. PCA3 is a more specific biomarker for prostate cancer because, unlike PSA, PCA3 levels are not influenced by prostate size, BPH, prostatitis, or the use of 5α-reductase inhibitors [17]. At the genetic level, PCA3 may help distinguish between prostate cancer and high-grade prostatic intraepithelial neoplasia (HG-PIN), as PCA3 is seldom expressed in HG-PIN [18]. Several studies have demonstrated that a higher PCA3 score correlates with clinically significant prostate cancer and larger tumour volume, therefore potentially aiding in selecting patients for active surveillance [19]. In 2012, the FDA approved the PROGENSA PCA3 assay predict men who would benefit from a repeat biopsy in those with a previous negative prostate biopsy [6]. In a recent meta-analysis of 46 clinical trials, the sensitivity and specificity of PROGENSA PCA3 was 65% and 73%, respectively [20].
Genetic mutations
TMPRSS2::ERG
TMPRSS2::ERG, or T2:ERG, gene fusions constitute 90% of gene fusions implicated in prostate cancer, as well as half of all prostate cancers [21, 22]. When the androgen responsive regulatory element TMPRSS2 and the gene for the transcription factor ERG are fused together, androgen-driven genes are overexpressed and tumorigenesis occurs [21]. When used alone, urinary T2:ERG RNA has a reported 86% specificity and 45% sensitivity in prostate cancer detection. However, when used in conjunction with PCA3, specificity and sensitivity improve to 90% and 80%, respectively [6, 23]. Moreover, this test may prevent up to 42% of unnecessary biopsies, limiting healthcare costs [24].
PTEN
Loss of the tumour-suppressor gene, PTEN, or phosphatase and tensin homologue, leading to activation of the PI3K/AKT/mTOR signalling has been found in both early stage and castrate-resistant prostate cancers. Preclinical data show that PI3K pathway activation is related to resistance to androgen deprivation, leading to disease progression and poor response to treatment. In mouse models, conditional deletion of PTEN initially led to the development of prostate hyperplasia and later on invasive and metastatic prostate cancers likely by modulating the p110β catalytic subunit of PI3K. In addition, ablation of p110β hindered AKT signalling and reduced tumorigenesis [25]. In a cohort of 77 men, loss of PTEN at initial prostate biopsy was predictive of the development of castrate-resistant prostate cancer, response to androgen deprivation therapy, and prostate-cancer-specific mortality [26]. Additionally, decreased PTEN expression has been associated with increased risk of biochemical and clinical recurrence after prostatectomy [27]. Therefore, the association between castrate-resistant prostate cancer and PTEN loss as well as PI3K/AKT/mTOR pathway activation suggests that PTEN may have prognostic value in prostate cancer risk stratification.
CHD1
The CHD1 gene, encoding chromodomain helicase DNA-binding protein 1, is commonly deleted in 10–26% of all prostate cancers. The loss of CHD1 affects the ability to repair DNA double-strand breaks via homologous recombination. CHD1 deletion has generally been associated with a poor prognosis. However, studies have demonstrated tumours with CHD1 deletions to be sensitive to both PARP inhibitors and carboplatin, both in vitro and in vivo, suggesting that future research may be able to identify to response to treatment based off of tumour genotypes [28].
Circulating biologics
Circulating tumour cells
Circulating tumour cells (CTCs) are defined as cells that leave the site of a primary cancer, travel through the bloodstream, and settle at other sites in the body where they grow into new tumours, or metastases [29]. In 2004, CellSearch Circulating Tumor Cell System was approved by the FDA as an assay for enumerating CTCs. In recent studies, CTC count, deemed the ‘liquid biopsy’, has been shown to have a role in predicting overall survival and response to treatment, risk stratification, and detecting metastases. In addition, using CTCs to detect biomarkers, such as ERG, PTEN, and AR may allow for personalized treatments based on tumour genomes [9, 30].
Circulating exosomes
Circulating prostate cancer-related exosomes are double-membrane vesicles carrying RNA and pro-oncogenic molecules, which induce malignant transformation in normal cells. ExoDx prostate Intelliscore urine exosome assay (developed by Exosome Diagnostics Inc.) detects exosomal RNA expression of ERG, PCA3 and SPDEF (SAM pointed domain containing ETS transcription factor) in voided urine samples. A score is generated that is able to predict high-grade prostate cancer (Gleason >7) with a negative predictive value of 91%. This assay may be useful in discriminating clinically significant prostate cancer and reducing the number of unnecessary biopsies [31].
Conclusion
The emergence and widespread usage of PSA as a routine screening test for prostate cancer allows for early detection and risk stratification. Testing for PSA in combination with novel biomarkers such as PCA3, TMPRSS2::ERG, PTEN, and others may improve our diagnostic abilities, given the heterogeneity of prostate cancers and their treatments. There are many challenges in establishing useful biomarkers including creating affordable and accessible testing, determining cut-offs, and determining accuracy. As the clinical utility of these biomarkers is further defined, we hope to better risk stratify patients and select appropriate treatments early on in diagnosis. Further research efforts should focus on the synergism between the Epstein criteria, biomarker utility, and how to best bring these tools from bench to bedside.
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The authors
Alexandra Tabakin MD,
Sung Un Bang MD, Isaac Yi Kim MD PhD
Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Division of Urology, Rutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
*Corresponding author
E-mail: kimiy@cinj.rutgers.edu
Scientific Literature Review: Infectious diseases
, /in Featured Articles /by 3wmediaIdentifying volatile metabolite signatures for the diagnosis of bacterial respiratory tract infection using electronic nose technology: a pilot study
Lewis JM, Savage RS, Beeching NJ, Beadsworth MBJ, Feasey N, Covington JA. PLoS One 2017; 12(12): e0188879
OBJECTIVES: New point of care diagnostics are urgently needed to reduce the over-prescription of antimicrobials for bacterial respiratory tract infection (RTI). A pilot cross-sectional study was performed to assess the feasibility of gas-capillary column ion mobility spectrometer (GC-IMS), for the analysis of volatile organic compounds (VOC) in exhaled breath to diagnose bacterial RTI in hospital inpatients.
METHODS: 71 patients were prospectively recruited from the Acute Medical Unit of the Royal Liverpool University Hospital between March and May 2016 and classified as confirmed or probable bacterial or viral RTI on the basis of microbiologic, biochemical and radiologic testing. Breath samples were collected at the patient’s bedside directly into the electronic nose device, which recorded a VOC spectrum for each sample. Sparse principal component analysis and sparse logistic regression were used to develop a diagnostic model to classify VOC spectra as being caused by bacterial or non-bacterial RTI.
RESULTS: Summary area under the receiver operator characteristic curve was 0.73 (95% CI 0.61–0.86), summary sensitivity and specificity were 62% (95% CI 41–80%) and 80% (95% CI 64–91%) respectively (p=0.00147).
CONCLUSIONS: GC-IMS analysis of exhaled VOC for the diagnosis of bacterial RTI shows promise in this pilot study and further trials are warranted to assess this technique.
Cerebrospinal fluid B-lymphocyte chemoattractant CXCL13 in the diagnosis of acute Lyme neuroborreliosis in children
Barstad B, Tveitnes D, Noraas S, Selvik Ask I, Saeed M, Bosse F, et al. Pediatr Infect Dis J 2017; 36(12): e286–e292
BACKGROUND: Current markers of Lyme neuroborreliosis (LNB) in children have insufficient sensitivity in the early stage of disease. The B-lymphocyte chemoattractant CXCL13 in the cerebrospinal fluid (CSF) may be useful in diagnosing LNB, but its specificity has not been evaluated in studies including children with clinically relevant differential diagnoses. The aim of this study was to elucidate the diagnostic value of CSF CXCL13 in children with symptoms suggestive of LNB.
METHODS: Children with symptoms suggestive of LNB were included prospectively into predefined groups with a high or low likelihood of LNB based on CSF pleocytosis and the detection of Borrelia antibodies or other causative agents. CSF CXCL13 levels were compared between the groups, and receiver-operating characteristic analyses were performed to indicate optimal cutoff levels to discriminate LNB from non-LNB conditions.
RESULTS: Two hundred and ten children were included. Children with confirmed LNB (n=59) and probable LNB (n=18) had higher CSF CXCL13 levels than children with possible LNB (n=7), possible peripheral LNB (n=7), non-Lyme aseptic meningitis (n=12), non-meningitis (n=91) and negative controls (n=16). Using 18 pg/mL as a cutoff level, both the sensitivity and specificity of CSF CXCL13 for LNB (confirmed and probable) were 97%. Comparing only children with LNB and non-Lyme aseptic meningitis, the sensitivity and specificity with the same cutoff level were 97% and 83%, respectively.
CONCLUSION: CSF CXCL13 is a sensitive marker of LNB in children. The specificity to discriminate LNB from non-Lyme aseptic meningitis may be more moderate, suggesting that CSF CXCL13 should be used together with other variables in diagnosing LNB in children.
Neutrophil CD64 – A potential biomarker in patients with complicated intra-abdominal infections? A literature review
Dimitrov E, Enchev E, Halacheva K, Minkov G, Yovtchev Y. Acta Microbiol Immunol Hung 2018; doi: 10.1556/030.65.2018.011
Complicated intra-abdominal infections (cIaIs) represent a serious cause of morbidity and mortality. Early diagnosis and well-timed treatment can improve patients’ outcome, whereas the delay in management often result in rapid progression to circulatory collapse, multiple organ failure, and death. Neutrophil CD64 antigen expression has been studied for several years as infectious and sepsis biomarker and has several characteristics that make it good for clinical employment. It has been suggested to be predictive of positive bacterial cultures and a useful test for management of sepsis and other significant bacterial infections. Our review concluded that the neutrophil CD64 expression could be a promising and meaningful biomarker in patients with cIaIs. It shows good potential for evaluating the severity of the disease and could give information about the outcome. However, more large studies should be performed before using it in clinical practice.
Mycoplasma genitalium: accurate diagnosis is necessary for adequate treatment
Gaydos CA. J Infect Dis 2017; 216(suppl_2): S406–S411
BACKGROUND: Mycoplasma genitalium is very difficult to grow in culture but has been more able to be studied for disease associations since the advent of research molecular amplification assays. Polymerase chain reaction (PCR) and other molecular assays have demonstrated an association with adverse disease outcomes, such as urethritis or nongonococcal urethritis in men and adverse reproductive sequelae in women-for example, cervicitis, endometritis, and pelvic inflammatory disease, including an association with risk for human immunodeficiency virus. The lack of commercially available diagnostic assays has limited widespread routine testing. Increasing reports of high rates of resistance to azithromycin detected in research studies have heightened the need available commercial diagnostic assays as well as standardized methods for detecting resistance markers. This review covers available molecular methods for the diagnosis of M. genitalium and assays to predict the antibiotic susceptibility to azithromycin.
METHODS: A PubMed (US National Library of Medicine and National Institutes of Health) search was conducted for literature published between 2000 and 2016, using the search terms ‘Mycoplasma genitalium’, ‘M. genitalium’, ‘diagnosis’, and ‘detection’.
RESULTS: Early PCR diagnostic tests focused on the MPa adhesion gene and the 16S ribosomal RNA gene. Subsequently, a transcription-mediated amplification assay targeting ribosomes was developed and widely used to study the epidemiology of M. genitalium. Newer methods have proliferated and include quantitative PCR for organism load, AmpliSens PCR, PCR for the pdhD gene, a PCR-based microarray for multiple sexually transmitted infections, and multiplex PCRs. None yet are cleared by the Food and Drug Administration in the United States, although several assays are CE marked in Europe. As well, many research assays, including PCR, gene sequencing, and melt curve analysis, have been developed to detect the 23S ribosomal RNA gene mutations that confer resistance to azithromycin. One recently developed assay can test for both M. genitalium and azithromycin resistance mutations at the same time.
CONCLUSIONS: It is recommended that more commercial assays to both diagnose this organism and guide treatment choices should be developed and made available through regulatory approval. Research is needed to establish the cost-effectiveness of routine M. genitalium testing in symptomatic patients and screening in all individuals at high risk of acquiring and transmitting sexually transmitted infections.
Prognostic value of secretoneurin in patients with severe sepsis and septic shock: data from the Albumin Italian Outcome Sepsis Study
Røsjø H, Masson S, Caironi P3,4, Stridsberg M, Magnoli M, et al. Crit Care Med 2018; doi: 10.1097/CCM.0000000000003050
OBJECTIVES: Secretoneurin directly influences cardiomyocyte calcium handling, and circulating secretoneurin levels seem to improve risk prediction in patients with myocardial dysfunction by integrating information on systemic stress, myocardial function, and renal function. Accordingly, in this study, we hypothesized that secretoneurin would improve risk prediction in patients with sepsis and especially in patients with septic shock as these patients are more hemodynamically unstable.
DESIGN: Multicentre, interventional randomized clinical trial.
SETTING: Multicentre, pragmatic, open-label, randomized, prospective clinical trial testing fluid administration with either 20% human albumin and crystalloids or crystalloid solutions alone in patients with severe sepsis or septic shock (The Albumin Italian Outcome Sepsis).
PATIENTS OR SUBJECTS: In total, 540 patients with septic shock and 418 patients with severe sepsis.
INTERVENTIONS: Either 20% human albumin and crystalloids or crystalloid solutions alone.
MEASUREMENTS AND MAIN RESULTS: We measured secretoneurin on days 1, 2, and 7 after randomization and compared the prognostic value of secretoneurin for ICU and 90-day mortality with established risk indices and cardiac biomarkers in septic shock and severe sepsis. High secretoneurin levels on day 1 were associated with age and serum concentrations of lactate, bilirubin, creatinine, and N-terminal pro-B-type natriuretic peptide. Adjusting for established risk factors and cardiovascular biomarkers, secretoneurin levels on day 1 were associated with ICU (odds ratio, 2.27 [95% CI, 1.05–4.93]; p=0.04) and 90-day mortality (2.04 [1.02–4.10]; p=0.04) in patients with septic shock, but not severe sepsis without shock. Secretoneurin levels on day 2 were also associated with ICU (3.11 [1.34–7.20]; p=0.008) and 90-day mortality (2.69 [1.26–5.78]; p=0.01) in multivariate regression analyses and improved reclassification in patients with septic shock, as assessed by the net reclassification index. Randomized albumin administration did not influence the associations between secretoneurin and outcomes.
CONCLUSIONS: Secretoneurin provides early and potent prognostic information in septic patients with cardiovascular instability.
Adaptation of the Amoebae Plate Test to recover Legionella strains from clinical samples
Descours G, Hannetel H, Reynaud JV, Ranc AG, Beraud L, Kolenda C, et al. J Clin Microbiol 2018; doi: 10.1128/JCM.01361-17
The isolation of Legionella from respiratory samples is the gold standard for Legionnaires’ disease (LD) diagnosis and enables epidemiological studies and outbreak investigations. The purpose of this work was to adapt and evaluate the performance of an amoebic co-culture procedure (the amoebae plate test, APT) to the recovery of Legionella strains from respiratory samples, in comparison with axenic culture and a liquid-based amoebic co-culture (LAC). Axenic culture, LAC, and APT were prospectively performed on 133 respiratory samples from patients with LD. The sensitivities and times-to-result of the three techniques were compared. Using the three techniques, Legionella strains were isolated in 46.6% (n=62) of the 133 respiratory samples. The sensitivity of axenic culture was 42.9% (n=57), that of LAC was 30.1% (n=40), and that of APT 36.1% (n=48). Seven samples were positive by axenic culture only; for these there were less than 10 colonies in total. Five samples, all sputa, were positive by an amoebic procedure only (5/5 by APT, 2/5 by LAC); all had overgrowth by oropharyngeal flora with axenic culture. The combination of axenic culture with APT yielded a maximal isolation rate (i.e. 46.6%). Overall, the APT significantly reduced the median time for Legionella identification to 4 days, versus 7 days for LAC (p<0.0001). The results of this study promote the substitution of LAC by APT, which could be implemented as a second-line technique on culture-negative and microbial overgrown samples, especially sputa. They provide a logical basis for further studies in both clinical and environmental settings.
Design, implementation, and interpretation of amplification studies for prion detection
Haley NJ, Richt JA, Davenport KA, Henderson DM, Hoover EA, Manca M, et al. Prion 2018; doi: 10.1080/19336896.2018.1443000
Amplification assays for transmissible spongiform encephalopathies (TSEs) have been in development for close to 15 years, with critical implications for the post-mortem and ante-mortem diagnosis of human and animal prion diseases. Little has been published regarding the structured development, implementation and interpretation of experiments making use of protein misfolding cyclic amplification (PMCA) and real-time quaking-induced conversion (RT-QuIC), and the goal with this Perspectives manuscript is to offer a framework which might allow for more efficient expansion of pilot studies into diagnostic trials in both human and animal subjects. This framework is made up of approaches common to diagnostic medicine, including a thorough understanding of analytical and diagnostic sensitivity and specificity, an a priori development of amplification strategy, and an effective experimental design. It is our hope that a structured framework for prion amplification assays will benefit not only experiments seeking to sensitively detect naturally-occurring cases of prion diseases and describe the pathogenesis of TSEs, but ultimately assist with future endeavours seeking to use these methods more broadly for other protein misfolding disorders, including Alzheimer’s and Parkinson’s disease.
A microfluidic enrichment platform with a recombinase polymerase amplification sensor for pathogen diagnosis
Dao TNT, Lee EY, Koo B, Jin CE, Lee TY, Shin Y. Anal Biochem 2017; 544: 87–92
Rapid and sensitive detection of low amounts of pathogen in large samples is needed for early diagnosis and treatment of patients and surveillance of pathogen. In this study, we report a microfluidic platform for detection of low pathogen levels in a large sample volume that couples an Magainin 1 based microfluidic platform for pathogen enrichment and a recombinase polymerase amplification (RPA) sensor for simultaneous pathogenic DNA amplification and detection in a label-free and real-time manner. Magainin 1 is used as a pathogen enrichment agent with a herringbone microfluidic chip. Using this enrichment platform, the detection limit was found to be 20 times more sensitive in 10 ml urine with Salmonella and 10 times more sensitive in 10 ml urine with Brucella than that of real-time PCR without the enrichment process. Furthermore, the combination system of the enrichment platform and an RPA sensor that based on an isothermal DNA amplification method with rapidity and sensitivity for detection can detect a pathogen at down to 50 CFU in 10 ml urine for Salmonella and 102 CFU in 10 ml urine for Brucella within 60 min. This system will be useful as it has the potential for better diagnosis of pathogens by increasing the capture efficiency of the pathogen in large samples, subsequently enhancing the detection limit of pathogenic DNA.
Long-term follow-up and quantitative hepatitis B surface antigen monitoring in North American chronic HBV carriers
O’Neil CR, Congly SE, Rose MS, Lee SS, Borman MA, Charlton CL, et al. Ann Hepatol 2018; 17(2): 232–241
INTRODUCTION: Quantitative hepatitis B surface antigen (qHBsAg) combined with HBV DNA may be useful for predicting chronic hepatitis B (CHB) activity and nucleoside analogue (NA) response.
MATERIAL AND METHODS: In this retrospective cohort study qHBsAg levels were evaluated according to CHB disease phase and among patients on treatment. Random effect logistic regression analysis was used to analyse qHBsAg change with time in the NA-treated cohort.
RESULTS: 545 CHB carriers [56% M, median age 48 y (IQR 38–59), 73% Asian] had qHBsAg testing. In the untreated group (44%), 8% were classified as immune tolerant, 10% immune clearance, 40% inactive, and 43% had HBeAg-CHB and the median HBsAg levels were 4.6 (IQR 3.4–4.9), 4.0 (IQR 3.4–4.5), 2.9 (IQR 1.4–3.8), and 3.2 log IU/mL (IQR 2.6–4.0), respectively; p<0.001. In the NA-treated group (28% entecavir, 68% tenofovir, 4% lamivudine), no significant change in qHBsAg levels occurred with time, 19% of patients on long-term NA had sustained qHBsAg <2 log10 IU/mL.
CONCLUSION: qHBsAg titres were associated with CHB phase and remained stable in those on long-term NA. A significant number of treated patients had low-level qHBsAg, of which some may be eligible for treatment discontinuation without risk
of flare.
Plasmonic nanowire interstice sensor for the diagnosis of prostate cancer
, /in Featured Articles /by 3wmediaExtracellular microRNAs recently provided valuable information including the site and the status of cancers. miR141 and miR375 are the most pronounced biomarkers for the diagnosis of high-risk prostate cancer. Here, we describe attomolar detection of miR141 and miR375 released from living prostate cancer cells through the use of a plasmonic nanowire interstice (PNI) sensor.
by Dr Taejoon Kang and Professor Bongsoo Kim
Background
Prostate-specific antigen
Prostate cancer (PC) represents 27% of all cancers in men and the second leading cause of cancer death for men worldwide [1]. In 2017 for the USA alone, there were approximately 161 360 cases of PC. PC has been diagnosed by digital rectal examination and the prostate-specific antigen (PSA) test. PSA is the only tissue-specific biomarker that can aid the early diagnosis of PC. The PSA blood test, however, has limited diagnostic accuracy for PC because PSA can be increased owing to other factors including benign prostatic hyperplasia or prostatitis as well as PC. The US Preventive Services Task Force even recommended that physicians should not routinely perform PC screening based on serum PSA levels [2]. Clearly, new biomarkers are needed to overcome this problem.
Recently, it has been reported that the level of free PSA (f-PSA) is decreased in men who have PC compared with those with benign conditions [3]. Therefore, various immunoassay technologies including enzyme-linked immunosorbent assay, fluorescence immunoassay, surface plasmon resonance (SPR), electrochemical immunosensor, dark-field microscopy, chemiluminescence, surface-enhanced Raman scattering (SERS), and dynamic light scattering have been employed for the quantitative analysis of f-PSA [3].
RNAs as prostate cancer biomarkers
Long noncoding RNAs (lncRNAs, ≥200 nucleotides) are often expressed in a disease-, tissue- or developmental-specific manner. Since lncRNAs are highly dysregulated in several cancer types and exhibit a high degree of tissue- and disease-specificity, lncRNAs are regarded as candidates for cancer diagnostic biomarkers [4]. Prostate Cancer Antigen 3 (PCA3) is a prostate-specific lncRNA that is overexpressed by 60- to 100-fold in >90% of prostate tumours compared to benign prostatic tissue. Urinary PCA3 has been used as a diagnostic biomarker for PC with a sensitivity of 58–82% and a specificity of 56–76%. The sensitivity and accuracy of PCA3 are increased when used in combination with α-methylacyl-CoA racemase. Urinary PCA3 is now widely used for PC diagnosis and has been approved by the US Food and Drug Administration (FDA). MicroRNAs (miRNAs) are single-stranded, small, and noncoding RNAs. The expression patterns of miRNAs in tissue and blood samples of patients are often closely associated with disease types and also disease stages, hinting that certain miRNAs can be compelling diagnostic markers [5]. In 2008, it was first reported that the level of miR141 is upregulated in the serum of metastatic PC compared with healthy controls and benign prostatic hyperplasia patients. Since then, miR141 and miR375 have been the most pronounced biomarkers for high-risk PC, including castrate-resistant PC and metastatic PC, which account for approximately 15% of PC diagnoses and have the potential to progress to a lethal phenotype [6].
Detection methods for nucleic acid biomarkers
For the detection of nucleic acid biomarkers, polymerase chain reaction (PCR) is the most extensively used analytical tool. Although PCR is considered the gold standard for the detection of gene biomarkers, it has drawbacks including a long amplification time and the risk of erroneously amplifying contaminants or unrelated gene sequences. To overcome these limitations, PCR-free assays have been developed by taking various sensing approaches such as fluorescence resonance energy transfer, colorimetry, SPR, electrochemistry, SERS, and so on. These methods have contributed to the advance of cancer diagnosis by reducing the drawbacks of PCR. SERS is a fascinating phenomenon that significantly increases the Raman signal of molecules located within nanoscale metallic interstices (hot spots). SERS has been employed for the sensitive detection of nucleic acid because of its single-molecule sensitivity, molecular specificity, and insensitivity to quenching. It is known that the SERS enhancement strongly depends on the detailed morphology of the metal nanostructure. Although a number of promising nanostructures that can be used as efficient SERS-active platforms have been proposed, it still remains a challenging task to develop a practical SERS sensor that can detect multiple nucleic acid biomarkers simultaneously while retaining high sensitivities. The use of single-crystalline noble metal nanowires (NWs) is highly advantageous for SERS-based detection because of their well-defined geometries, atomically smooth surfaces, and simple fabrication process [7]. Previously, we developed several noble metal NW-based SERS sensors including plasmonic nanowire interstice (PNI) sensor, particle-on-NW sensor, NW on a graphene sensor, and nanogap-rich Au NW sensor [8–15]. Among them, PNI nanostructures have been widely employed for the detection of several biochemical molecules. Particularly, by combining the PNI nanostructure with the bi-temperature hybridization process, we were able to detect miRNAs with near-perfect accuracy of single nucleotide polymorphism (SNPs) and at the extremely low detection limit of 100 aM. Here, we introduce a PNI sensor which can detect the extracellular miR141 and miR375 released from living PC cells into a culture medium. This sensor shows an extremely low detection limit of 100 aM for both miR141 and miR375, and a wide dynamic range from 100 aM to 100 pM, covering the typical concentration range of extracellular miRNAs in the bloodstreams of patients. Additionally, the PNI sensor can completely discriminate the single-base mismatches of miR141 and miR375. This excellent sensing capability of the PNI sensor enables the simultaneous detection of miR141 and miR375 released from the cells of PC cell lines (LNCaP and PC-3), showing the potential applicability to a novel PC diagnostic method.
Specific and sensitive detection of miRNA
To accurately determine the expression patterns of miRNAs in biological fluid samples, it is necessary to overcome the inconsistent measurement results caused by low specificities and complicated sensing procedures. For the ultra-specific and ultra-sensitive detection of miRNAs, we applied miRNA-specific bi-temperature hybridizations to Au NW surfaces, where short miRNAs can readily crawl into the narrow hot spots of the PNI sensor for effective SERS detection. The probe locked nucleic acid (LNA)-modified PNI sensors were incubated with miRNAs at 42 °C and subsequently incubated with Cy5-labeled reporter LNA at 64 °C (Fig. 1a). If the target miRNAs have perfectly complementary sequences to both probe and reporter LNAs, sandwiched complexes of probe LNA-miRNA-reporter LNA can be stably formed on a PNI sensor, providing strong SERS signals of Cy5. In contrast, when the sample only contains single-base mismatched miRNAs, little signal was observed. Figure 1(b) displays the intensity of the Cy5 1580 cm−1 band plotted as a function of the miR141 (magenta) and miR375 (blue) concentrations. Both intensities were quite linearly increased throughout the concentration range from 100 aM to 100 pM in spite of the different sequences of miR141 and miR375. To investigate the specificity of a PNI sensor, we prepared four kinds of single-base mismatched miRNAs (miR141 A, miR141 B, miR375 A, and miR375 B). The miR141 A and miR375 A had a mismatched single base on the probe LNA recognition site, respectively, and the miR141 B and miR375 B had a mismatched single base on the reporter LNA recognition site. Figure 1(c,d) shows the plot of Cy5 1580 cm−1 band intensity obtained from the PNI sensors for perfectly matched and single-base mismatched miRNAs. The concentration of all miRNAs was 100 pM. When the single-base mismatched miRNAs (miR141 A, B and miR375 A, B) were present, featureless SERS signals were obtained from the PNI sensors. In contrast, significantly strong SERS signals were measured from the PNI sensors in the presence of miR141 and miR375 with intact sequences. In the miRNA sensing procedure using the PNI sensor, the unstable single-base mismatched miRNA–LNA hybridized structures were destroyed at the temperature over Tm. Therefore, we near-perfectly excluded the possibility of detecting single-base mismatched miRNAs.
Detection of miRNAs released from cells in culture
The PNI sensors were also employed to detect miR141 and miR375 released from the living PC cells. We prepared four types of media in which different human cancer cell lines were cultured. The cultured cell lines were LNCaP (PC cells), PC-3 (PC cells), RWPE-1 (noncancerous prostate epithelial cells), and HeLa (cervical cancer cells). For the detection of miR141 and miR375 using PNI sensors, the total extracellular miRNA released from the cells into the media were isolated and purified. Figure 2(a,b) represent the extracellular miR141 and miR375 levels determined by the PNI sensor for LNCaP, PC-3, RWPE-1, and HeLa, respectively. The levels of miR141 and miR375 in LNCaP and PC-3 culture supernatants were higher than those in RWPE-1 and HeLa, indicating that the PNI sensor can detect extracellular miRNAs released from living PC cells accurately. The well-defined PNI nanostructure which provides a highly reproducible SERS hot spot line, straightforward probe LNA immobilization, and simple miRNA–LNA hybrid formation with equalized stabilities seems to collectively contribute to the observed equally enhanced and highly reproducible SERS signals for miR141 and miR375.
Conclusion
We have developed a PNI sensor that can detect extracellular miR141 and miR375 released from the cultured cells of PC cell lines. The proposed PNI sensor exhibited a low detection limit of 100 aM, a wide dynamic range from 100 aM to 100 pM, and a perfect discrimination of single-base mismatches in target miRNAs. By using the PNI sensor, we were able to estimate the absolute amount of the released miR141 and miR375 from each PC cell line. The highly sensitive and exactly quantifiable PNI sensor could be useful for the precise diagnosis of PC patients and will be further valuable for detecting other disease-related extracellular miRNAs.
References
1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin 2016; 66: 7–30.
2. Moyer VA. Screening for prostate cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med 2012; 157: 120–134.
3. Cheng Z, Choi N, Wang R, Lee S, Moon KC, Yoon S-Y, Chen L, Choo J. Simultaneous detection of dual prostate specific antigens using surface-enhanced Raman scattering-based immunoassay for accurate diagnosis of prostate cancer. ACS Nano 2017; 11: 4926–4933.
4. Gupta SC, Tripatchi YN. Potential of long non-coding RNAs in cancer patients: from biomarkers to therapeutic targets. Int J Cancer 2017; 140: 1955–1967.
5. Kang T, Kim H, Lee JM, Lee H, Choi Y-S, Kang G, Seo M-K, Chung BH, Jung Y, Kim B. Ultra-specific zeptomole microRNA detection by plasmonic nanowire interstice sensor with bi-temperature hybridization. Small 2014; 10: 4200–4206.
6. Yang S, Kim H, Lee KJ, Hwang SG, Lim E-K, Jung J, Lee TJ, Park H-S, Kang T, Kim B. Attomolar detection of extracellular microRNAs released from living prostate cancer cells by a plasmonic nanowire interstice sensor. Nanoscale 2017; 9: 17387–17395.
7. Mohanty P, Yoon I, Kang T, Seo K, Varadwaj KSK, Choi W, Park Q-H, Ahn JP, Suh YD, Ihee H, Kim B. Simple vapor phase synthesis of single-crystalline ag nanowires and single nanowire surface-enhanced Raman scattering. J Am Chem Soc 2007; 129: 9576–9577.
8. Yoon I, Kang T, Choi W, Kim J, Yoo Y, Joo S-W, Park Q-H, Ihee H, Kim B. Single nanowire on a film as an efficient SERS-active platform. J Am Chem Soc 2009; 131: 758–762.
9. Kang T, Yoon I, Kim J, Ihee H, Kim B. Au nanowire-Au nanoparticles conjugated system which provides micrometer size molecular sensors. Chem Eur J 2010; 16: 1351–1355.
10. Kang T, Yoo SM, Kim B, Lee SY. Detection of single nucleotide polymorphism by a gold nanowire-on-film SERS sensor coupled with S1 nuclease treatment. Chem Eur J 2011; 17: 8657–8662.
11. Kang T, Yoo SM, Kang H, Lee H, Kang M, Lee SY, Kim B. Combining a nanowire SERRS sensor and a target recycling reaction for ultrasensitive and multiplex identification of pathogenic fungi. Small 2011; 7: 3371–3376.
12. Kang T, Yoo SM, Kang M, Lee H, Kim H, Lee SY, Kim B. Single-step multiplex detection of toxic metal ions by Au nanowires-on-chip sensor using reporter elimination. Lab Chip 2012; 12: 3077–3081.
13. Gwak R, Kim H, Yoo SM, Lee SY, Lee G-J, Lee M-K, Rhee C-K, Kang T, Kim B. Precisely determining ultralow level UO22+ in natural water with plasmonic nanowire interstice sensor. Sci Rep 2016; 6: 19646.
14. Lee JM, Hwang A, Choi HJ, Jo Y, Kim B, Kang T, Jung Y. A multivalent structure-specific RNA binder with extremely stable target binding but reduced interactions to nonspecific RNAs. Angew Chem Int Ed 2017; 56: 15998–16002.
15. Eom G, Kim H, Hwang A, Son H-Y, Choi Y, Moon J, Kim D, Lee M, Lim E-K, Jeong J, Huh Y-M, Seo M-K, Kang T, Kim B. Nanogap-rich Au nanowire SERS sensor for ultrasensitive telomerase activity detection: application to gastric and breast cancer tissue diagnosis. Adv Funct Mater 2017; 27: 1701832.
The authors
Taejoon Kang*1 PhD, Bongsoo Kim*2 PhD
1Hazards Monitoring Bionano Research Center, KRIBB, Daejeon 34141, Republic of Korea
2Department of Chemistry, KAIST, Daejeon 34141, Republic of Korea
*Corresponding author
E-mail: kangtaejoon@kribb.re.kr;
bongsoo@kaist.ac.kr
Biomarkers for the prediction of clinically significant prostate cancer
, /in Featured Articles /by 3wmediaProstate cancer is the most common cancer in men and diagnosis involves a combination of assessments. Levels of the biomarker prostate-specific antigen (PSA) are commonly measured, but do not always equate to cancer status. Testing of PSA in combination with other biomarkers may help to improve diagnostic and prognostic accuracy, as well as minimizing overdiagnosis as well as unnecessary intervention. This article provides a summary of the information currently known about biomarkers showing promise for use in prostate cancer screening.
by Dr Alexandra Tabakin, Dr Sung Un Bang and Dr Isaac Y. Kim
Introduction
Prostate cancer is the most commonly diagnosed cancer type in the USA and second leading cause of cancer deaths in men. In 2018, there will be an estimated 164 690 new cases with an estimated 29 430 deaths [1]. Although many prostate cancers are indolent in nature and can be safely monitored with active surveillance, a significant proportion of patients will require intervention with surgery, radiation, or other therapies. One of the major challenges in treating prostate cancer is risk stratification and differentiating clinically significant prostate cancers in order to avoid overdiagnosis and overtreatment [2]. To do so, patients undergo risk stratification, which conventionally includes a combination of prostate-specific antigen (PSA) screening, digital rectal exam (DRE), trans-rectal ultrasonography (TRUS)-guided biopsy. Currently clinically insignificant prostate cancer, according to Epstein criteria, is defined as cancer with preoperative PSA <10ng/ml, clinical stage <T1c, Gleason score <6, PSA density <0.15, <2 positive biopsy cores, and <50% cancer involvement in any core [3–5]. However, as we learn more about the heterogeneity of prostate cancer tumours, various serum biomarkers have been investigated to improve diagnostic and prognostic accuracy and minimize treatment. In this review, we discuss various biomarkers and their utilization for the prediction of clinically significant prostate cancer.
Serum biomarkers
PSA
PSA, or prostate-specific antigen, is a serine protease released by the prostate. PSA gained notoriety in the 1980s when it was reported to have various uses including screening, monitoring disease progression, and detecting recurrence of the cancer. As PSA screening for prostate cancer increased, the incidence of prostate cancer also rose in the 1990s. However, PSA only has a 25–40% specificity rate for prostate cancer and can be elevated with infection, trauma, and benign prostatic hyperplasia (BPH) [6]. In fact, about 15% of men with a low level of PSA (<4.0 ng/ml) have prostate cancer [7].
Because the harms of biopsy and prostate cancer treatment may outweigh the benefits in some patients with clinically insignificant prostate cancer, efforts have been made to improve the validity of PSA in differentiating benign conditions and prostate cancer. One such effort is the use of free PSA; those with an elevated PSA and a lower serum percentage of free PSA (%f-PSA) are more likely to have BPH rather than prostate cancer [8]. The Prostate Health Index (PHI) formula incorporates serum total PSA, free PSA, and the [−2]proPSA to discriminate Gleason 3+4 and greater cancers with 90% sensitivity and 17% specificity [9]. 4K score is another novel test which is comprised of total PSA, free PSA, intact PSA, and human kallikrein-related peptidase 2 to detect clinically significant prostate cancer and discern those who would benefit from a prostate biopsy while preventing 30–58% of biopsies [10].
PAP
Prostatic acid phosphatase (PAP) was the first popularized prostate cancer serum biomarker, but was eventually replaced by PSA, as it is less sensitive in diagnosing prostate cancer and detecting recurrence. Elevated PAP level has been associated with a high risk of bone metastases [11], significantly shortened overall survival [12] as well as disease-free survival [13], and increased risk of biochemical recurrence [14]. Interestingly, recent studies have shown that PAP may be useful in detecting high-risk clinically significant prostate cancer patients; it is speculated that PAP may be associated with micro-metastatic disease prior to treatment, and therefore, predict response to treatment [15].
NLR, ANC, ALC
Inflammation and tissue microenvironment are important factors in cancer development. Although the temporal relationship is not well established, a lymphocyte-mediated immune response is thought to occur early in the development of prostate cancer. Neutrophil-to-lymphocyte ratio (NLR) compares the activity of both neutrophils and lymphocytes in the inflammatory response. NLR is a useful prognostic biomarker in mCRPC, where a higher score correlates less relative lymphocyte activity and a worse prognosis. When looking at localized low-risk prostate cancer, studies have shown that NLR is not associated with upstaging, upgrading, or biochemical recurrence. However, increased absolute lymphocyte count (ALC) and absolute neutrophil count (ANC) were associated with upstaging and lower 5-year biochemical recurrence-free survival. More development on these markers may guide clinicians in re-stratifying patients who meet conventional criteria for low-risk prostate cancer [16].
Urine biomarkers
PCA3
Urinary prostate cancer antigen 3 (PCA3) is among the most promising non-invasive biomarker among non-PSA based tests, as it is overexpressed in over 95% of prostate cancers [6]. PCA3 is a long noncoding RNA collected from shed prostate cells during urination. PCA3 is a more specific biomarker for prostate cancer because, unlike PSA, PCA3 levels are not influenced by prostate size, BPH, prostatitis, or the use of 5α-reductase inhibitors [17]. At the genetic level, PCA3 may help distinguish between prostate cancer and high-grade prostatic intraepithelial neoplasia (HG-PIN), as PCA3 is seldom expressed in HG-PIN [18]. Several studies have demonstrated that a higher PCA3 score correlates with clinically significant prostate cancer and larger tumour volume, therefore potentially aiding in selecting patients for active surveillance [19]. In 2012, the FDA approved the PROGENSA PCA3 assay predict men who would benefit from a repeat biopsy in those with a previous negative prostate biopsy [6]. In a recent meta-analysis of 46 clinical trials, the sensitivity and specificity of PROGENSA PCA3 was 65% and 73%, respectively [20].
Genetic mutations
TMPRSS2::ERG
TMPRSS2::ERG, or T2:ERG, gene fusions constitute 90% of gene fusions implicated in prostate cancer, as well as half of all prostate cancers [21, 22]. When the androgen responsive regulatory element TMPRSS2 and the gene for the transcription factor ERG are fused together, androgen-driven genes are overexpressed and tumorigenesis occurs [21]. When used alone, urinary T2:ERG RNA has a reported 86% specificity and 45% sensitivity in prostate cancer detection. However, when used in conjunction with PCA3, specificity and sensitivity improve to 90% and 80%, respectively [6, 23]. Moreover, this test may prevent up to 42% of unnecessary biopsies, limiting healthcare costs [24].
PTEN
Loss of the tumour-suppressor gene, PTEN, or phosphatase and tensin homologue, leading to activation of the PI3K/AKT/mTOR signalling has been found in both early stage and castrate-resistant prostate cancers. Preclinical data show that PI3K pathway activation is related to resistance to androgen deprivation, leading to disease progression and poor response to treatment. In mouse models, conditional deletion of PTEN initially led to the development of prostate hyperplasia and later on invasive and metastatic prostate cancers likely by modulating the p110β catalytic subunit of PI3K. In addition, ablation of p110β hindered AKT signalling and reduced tumorigenesis [25]. In a cohort of 77 men, loss of PTEN at initial prostate biopsy was predictive of the development of castrate-resistant prostate cancer, response to androgen deprivation therapy, and prostate-cancer-specific mortality [26]. Additionally, decreased PTEN expression has been associated with increased risk of biochemical and clinical recurrence after prostatectomy [27]. Therefore, the association between castrate-resistant prostate cancer and PTEN loss as well as PI3K/AKT/mTOR pathway activation suggests that PTEN may have prognostic value in prostate cancer risk stratification.
CHD1
The CHD1 gene, encoding chromodomain helicase DNA-binding protein 1, is commonly deleted in 10–26% of all prostate cancers. The loss of CHD1 affects the ability to repair DNA double-strand breaks via homologous recombination. CHD1 deletion has generally been associated with a poor prognosis. However, studies have demonstrated tumours with CHD1 deletions to be sensitive to both PARP inhibitors and carboplatin, both in vitro and in vivo, suggesting that future research may be able to identify to response to treatment based off of tumour genotypes [28].
Circulating biologics
Circulating tumour cells
Circulating tumour cells (CTCs) are defined as cells that leave the site of a primary cancer, travel through the bloodstream, and settle at other sites in the body where they grow into new tumours, or metastases [29]. In 2004, CellSearch Circulating Tumor Cell System was approved by the FDA as an assay for enumerating CTCs. In recent studies, CTC count, deemed the ‘liquid biopsy’, has been shown to have a role in predicting overall survival and response to treatment, risk stratification, and detecting metastases. In addition, using CTCs to detect biomarkers, such as ERG, PTEN, and AR may allow for personalized treatments based on tumour genomes [9, 30].
Circulating exosomes
Circulating prostate cancer-related exosomes are double-membrane vesicles carrying RNA and pro-oncogenic molecules, which induce malignant transformation in normal cells. ExoDx prostate Intelliscore urine exosome assay (developed by Exosome Diagnostics Inc.) detects exosomal RNA expression of ERG, PCA3 and SPDEF (SAM pointed domain containing ETS transcription factor) in voided urine samples. A score is generated that is able to predict high-grade prostate cancer (Gleason >7) with a negative predictive value of 91%. This assay may be useful in discriminating clinically significant prostate cancer and reducing the number of unnecessary biopsies [31].
Conclusion
The emergence and widespread usage of PSA as a routine screening test for prostate cancer allows for early detection and risk stratification. Testing for PSA in combination with novel biomarkers such as PCA3, TMPRSS2::ERG, PTEN, and others may improve our diagnostic abilities, given the heterogeneity of prostate cancers and their treatments. There are many challenges in establishing useful biomarkers including creating affordable and accessible testing, determining cut-offs, and determining accuracy. As the clinical utility of these biomarkers is further defined, we hope to better risk stratify patients and select appropriate treatments early on in diagnosis. Further research efforts should focus on the synergism between the Epstein criteria, biomarker utility, and how to best bring these tools from bench to bedside.
References
1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin 2018; 68(1): 7–30.
2. Lees K, Durve M, Parker C. Active surveillance in prostate cancer: patient selection and triggers for intervention. Curr Opin Urol 2012; 22(3): 210–215.
3. D’Amico AV, Whittington R, Malkowicz SB, Weinstein M, Tomaszewski JE, Schultz D, et al. Predicting prostate specific antigen outcome preoperatively in the prostate specific antigen era. J Urol 2001; 166(6): 2185–2188.
4. Epstein JI, Chan DW, Sokoll LJ, Walsh PC, Cox JL, Rittenhouse H, et al. Nonpalpable stage T1c prostate cancer: prediction of insignificant disease using free/total prostate specific antigen levels and needle biopsy findings. J Urol 1998; 160(6): 2407–2411.
5. Klotz L, Zhang L, Lam A, Nam R, Mamedov A, Loblaw A. Clinical results of long-term follow-up of a large, active surveillance cohort with localized prostate cancer. J Clin Oncol 2010; 28(1): 126–131.
6. Sanguedolce F, Cormio A, Brunelli M, D’Amuri A, Carrieri G, Bufo P, et al. Urine TMPRSS2: ERG fusion transcript as a biomarker for prostate cancer: literature review. Clin Genitourin Cancer 2016; 14(2): 117–121.
7. Prensner JR, Rubin MA, Wei JT, Chinnaiyan AM. Beyond PSA: the next generation of prostate cancer biomarkers. Sci Transl Med 2012; 4(127): 127rv3.
8. Grossklaus DJ, Smith JA, Shappell SB, Coffey CS, Chang SS, Cookson MS. The free/total prostate-specific antigen ratio (%fPSA) is the best predictor of tumor involvement in the radical prostatectomy specimen among men with an elevated PSA. Urol Oncol 2002; 7(5): 195–198.
9. Chistiakov DA, Myasoedova VA, Grechko AV, Melnichenko AA, Orekhov AN. New biomarkers for diagnosis and prognosis of localized prostate cancer. Semin Cancer Biol 2018; doi: 10.1016/j.semcancer.2018.01.012.
10. Parekh DJ, Punnen S, Sjoberg DD, Asroff SW, Bailen JL, Cochran JS, et al. A Multi-institutional prospective trial in the USA confirms that the 4Kscore accurately identifies men with high-grade prostate cancer. Eur Urol 2015; 68(3): 464–470.
11. Whitesel JA, Donohue RE, Mani JH, Mohr S, Scanavino DJ, Augspurger RR, et al. Acid phosphatase: its influence on the management of carcinoma of the prostate. J Urol 1984; 131(1): 70–71.
12. Johnson DE, Prout GR, Scott WW, Schmidt JD, Gibbons RP, et al. Clinical significance of serum acid phosphatase levels in advanced prostatic carcinoma. Urology 1976; 8(2): 123–126.
13. Moul JW, Connelly RR, Perahia B, McLeod DG. The contemporary value of pretreatment prostatic acid phosphatase to predict pathological stage and recurrence in radical prostatectomy cases. J Urol 1998; 159(3): 935–940.
14. Han M, Piantadosi S, Zahurak ML, Sokoll LJ, Chan DW, Epstein JI, et al. Serum acid phosphatase level and biochemical recurrence following radical prostatectomy for men with clinically localized prostate cancer. Urology 2001; 57(4): 707–711.
15. Faiena I, Kim S, Farber N, Kwon YS, Shinder B, Patel N, et al. Predicting clinically significant prostate cancer based on pre-operative patient profile and serum biomarkers. Oncotarget 2017; 8(65): 109783–109790.
16. Kwon YS, Han CS, Yu JW, Kim S, Modi P, Davis R, et al. Neutrophil and lymphocyte counts as clinical markers for stratifying low-risk prostate cancer. Clin Genitourin Cancer 2016; 14(1): e1–8.
17. Roobol MJ, Schröder FH, van Leeuwen P, Wolters T, van den Bergh RCN, van Leenders GJLH, et al. Performance of the prostate cancer antigen 3 (PCA3) gene and prostate-specific antigen in prescreened men: exploring the value of PCA3 for a first-line diagnostic test. Eur Urol 2010; 58(4): 475–481.
18. Wei W, Leng J, Shao H, Wang W. High PCA3 scores in urine correlate with poor-prognosis factors in prostate cancer patients. Int J Clin Exp Med 2015; 8(9): 16606–16612.
19. Ploussard G, Epstein JI, Montironi R, Carroll PR, Wirth M, Grimm M-O, et al. The contemporary concept of significant versus insignificant prostate cancer. Eur Urol 2011; 60(2): 291–303.
20. Cui Y, Cao W, Li Q, Shen H, Liu C, Deng J, et al. Evaluation of prostate cancer antigen 3 for detecting prostate cancer: a systematic review and meta-analysis. Sci Rep 2016; 6: 25776.
21. Burkhardt L, Fuchs S, Krohn A, Masser S, Mader M, Kluth M, et al. CHD1 is a 5q21 tumor suppressor required for ERG rearrangement in prostate cancer. Cancer Res 2013; 73(9): 2795–2805.
22. Tomlins SA, Laxman B, Varambally S, Cao X, Yu J, Helgeson BE, et al. Role of the TMPRSS2-ERG gene fusion in prostate cancer. Neoplasia 2008; 10(2): 177–188.
23. Salami SS, Schmidt F, Laxman B, Regan MM, Rickman DS, Scherr D, et al. Combining urinary detection of TMPRSS2: ERG and PCA3 with serum PSA to predict diagnosis of prostate cancer. Urol Oncol 31(5): 566–571.
24. Sanda MG, Feng Z, Howard DH, Tomlins SA, Sokoll LJ, Chan DW, et al. Association between combined TMPRSS2:ERG and PCA3 RNA urinary testing and detection of aggressive prostate cancer. JAMA Oncol 2017; 3(8): 1085–1093.
25. Crumbaker M, Khoja L, Joshua AM. AR Signaling and the PI3K pathway in prostate cancer. Cancers 2017; 9(4): doi: 10.3390/cancers9040034.
26. Mithal P, Allott E, Gerber L, Reid J, Welbourn W, Tikishvili E, et al. PTEN loss in biopsy tissue predicts poor clinical outcomes in prostate cancer. Int J Urol 2014; 21(12): 1209–1214.
27. Chaux A, Peskoe SB, Gonzalez-Roibon N, Schultz L, Albadine R, Hicks J, et al. Loss of PTEN expression is associated with increased risk of recurrence after prostatectomy for clinically localized prostate cancer. Mod Pathol 2012; 25(11): 1543–1549.
28. Kari V, Mansour WY, Raul SK, Baumgart SJ, Mund A, Grade M, et al. Loss of CHD1 causes DNA repair defects and enhances prostate cancer therapeutic responsiveness. EMBO Rep 2016; 17(11): 1609–1623.
29. West H, Jin JO. Circulating tumor cells. JAMA Oncol 2015; 1(3): 394.
30. Galletti G, Portella L, Tagawa ST, Kirby BJ, Giannakakou P, Nanus DM. Circulating tumor cells in prostate cancer diagnosis and monitoring: an appraisal of clinical potential. Mol Diagn Ther 2014; 18(4): 389–402.
31. McKiernan J, Donovan MJ, O’Neill V, Bentink S, Noerholm M, Belzer S, et al. A novel urine exosome gene expression assay to predict high-grade prostate cancer at initial biopsy. JAMA Oncol 2016; 2(7): 882–889.
The authors
Alexandra Tabakin MD,
Sung Un Bang MD, Isaac Yi Kim MD PhD
Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Division of Urology, Rutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
*Corresponding author
E-mail: kimiy@cinj.rutgers.edu
Book review: Oral anticoagulants
, /in Featured Articles /by 3wmediaAfter the 3rd volume devoted to parental anticoagulants, it stands to reason that the Clinical Development Department had to turn its attention to the other side of anticoagulant treatment – the oral anticoagulants – in this series launched in 2014 with the objective of publishing a Practical Manual every year.
The aim of the series is to provide health professionals with clear and comprehensive medical and scientific information relating to their everyday practice in the broad field of hemostasis. Each volume brings together a panel of international experts, each of whom produces a section specific to her/his own area of expertise and investigation.
This volume, devoted to oral anticoagulants, focuses on Direct Oral Anticoagulants (DOAC) – called New Oral Anticoagulants (NACO in French) – without neglecting the anti-vitamin K (AVK) drugs. The pharmacology, clinical aspects and biological monitoring of each treatment, AVK, anti-Xa and anti-IIa are described in a systematic manner, whilst information about the management and risks associated with these treatments, especially in certain diseases, is also discussed. A final section is devoted to antidotes in the event of complications and bleeding (reversal of anticoagulant effect). Twelve renowned international authors from Europe and North America were involved in the compilation of this book, coordinated by Stago.
Presented in July 2017 at the latest Congress of the International Society of Thrombosis and Haemostasis (ISTH 2017 – Berlin), this 4th opus was extremely well received and all 350 copies available on the Stago booth had gone in just 2 days!
Principally intended for clinicians and pathologists, but also for students and care providers interested in advances in the field of hemostasis and thrombosis, the 4 volumes in the series – of which more than 20,000 copies in all have already been distributed – are available on request to Stago.
Practical Manual series – Format A5 – in English
Scores and algorithms in Haemostasis and Thrombosis (2014) – ref. 28111 – 60 pages
Antiphospholipid syndrome (2015) – ref. 29289 – 76 pages
Parenteral anticoagulants (2016) – ref. 29618 – 116 pages
Oral anticoagulants (2017) – ref. 29691 – 100 pages
For further information:
webmaster@stago.com / www.stago.com
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, /in Featured Articles /by 3wmediaThe Largest Parameter Menu in Clinical Mass Spectrometry
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