Genome-wide association studies (GWAS) have identified more than 150 genetic variations associated with increased risk for breast cancer. Most of these variants are not located in protein-coding gene regions but are assumed to regulate the expression of certain genes. One way to figure out what these variants are doing is to conduct a cis-eQTL analysis. That’s a way of detecting changes in the expression of genes presumably regulated by a nearby variant. Using four large-scale data sets from normal and cancerous breast tissue samples, Xingyi Guo, PhD, and colleagues identified 101 candidate breast cancer susceptibility genes with variant-associated gene expression changes. In breast cancer cells grown in culture, the researchers also demonstrated how three genes promoted tumour growth by disrupting normal cell behaviour. Their findings reveal potential target genes associated with an increased risk of breast cancer and provide additional insights into the underlying genetic and biological mechanisms that drive this common cancer.
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Extremely low birth-weight babies are at risk for a chronic lung disease called bronchopulmonary dysplasia, or BPD. This condition can lead to death or long-term disease, but clinical measurements are unable to predict which of the tiny infants—who get care in hospital intensive-care units and often weigh just one and a half pounds—will develop BPD. University of Alabama at Birmingham researchers now report discovery of a strong predictive biomarker for BPD, and they show a role for the biomarker in the pathogenesis of this neonatal lung disease. These results open the path to possible future therapies to prevent or lessen BPD, which is marked by inflammation and impaired lung development. This biomarker could also help neonatologists plan optimal management and risk stratification of their tiny patients, and it could guide targeted enrolment of high-risk infants into randomized trials of potentially novel treatment strategies. The UAB work is an example of "bedside to bench" research. It began with prospective studies of extremely premature infants to identify potential biomarkers, and then proceeded to lab experiments using animal models and cells grown in culture to learn how the biomarker functions in disease progression. The study was led by Charitharth Vivek Lal, M.D., assistant professor in the UAB Pediatrics Division of Neonatology, and it builds upon Lal’s 2016 report that early microbial imbalance in the airways of extremely premature infants is predictive for development of BPD. The biomarker in the study is microRNA 876-3p. The hunt for the biomarker began with a prospective cohort study at the UAB Regional Neonatal Intensive Care Unit, looking at exosomes obtained from tracheal aspirates of infants with severe BPD, compared with full-term controls. Exosomes are small, membrane-bound blebs or vesicles that are actively secreted by a variety of cells. They are known to contain microRNAs and proteins, and the exosomes act in cell-to-cell signalling. MicroRNAs can regulate gene expression in cells. Lal and colleagues found that airway cells in infants with severe BPD had greater numbers of exosomes, but those exosomes were smaller sized. They also experimentally found that high oxygen exposure for newborn mice or human bronchial epithelial cells grown in culture also caused the release of more exosomes, and the exosomes were smaller in size that those secreted at normal oxygen level. Premature infants often receive extra oxygen to aid their underdeveloped lungs. The UAB researchers then did a prospective discovery cohort study at UAB—they collected tracheal aspirate samples from extremely premature infants within six hours of birth, purified exosomes from the samples and looked for microRNAs in the exosomes. Out of 810 microRNAs that were found, 40 showed differences between infants who later developed BPD and those who were BPD-resistant. Next, in cooperation with researchers at Thomas Jefferson University and Drexel University, a validation cohort was studied in Philadelphia. Thirty-two of the 40 microRNAs were confirmed; six had a higher statistical significance; and one biomarker, a low concentration of microRNA 876-3p, was found to have the highest sensitivity to predict severe BPD in extremely low birth-weight infants. Medical Xpressmedicalxpress.com/news/2018-03-exosomal-microrna-severe-lung-disease.html
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New tests to detect early Lyme disease – which is increasing beyond the summer months –could replace existing tests that often do not clearly identify the infection before health problems occur. In an analysis, scientists from Rutgers University, Harvard University, Yale University, National Institute of Allergy and Infectious Diseases of the NIH and other academic centres, industry and public health agencies say new diagnostic methods offer a better chance for more accurate detection of the infection from the Lyme bacteria. “New tests are at hand that offer more accurate, less ambiguous test results that can yield actionable results in a timely fashion,” said Steven Schutzer, a physician-scientist at Rutgers New Jersey Medical School and senior author. “Improved tests will allow for earlier diagnosis which should improve patient outcomes.” Lyme disease is the most common tick-borne infection in North America and Europe. There are currently over 300,000 cases of Lyme disease annually in the United States alone and the disease is increasing and spreading into new regions. Lyme disease frequently, but not always, presents with a bull’s-eye rash. When the rash is absent, a laboratory test is needed. The only FDA-approved Lyme disease tests, based on technology developed more than two decades ago, rely on detecting antibodies that the body’s immune system makes in response to the disease. These antibody-based tests are the most commonly used tests for Lyme disease and are the current standard. One problem, however, is that many people produce similar – called “cross-reactive” – antibodies in response to other bacteria not associated with Lyme disease, which causes confusing results and makes test accuracy more difficult. “New tests are more exact and are not as susceptible to the same false-positive or false-negative results associated with current tests,” said Schutzer. Schutzer and his colleagues say more accurate testing would help doctors decide when to prescribe the antibiotics used to clear the infection and help avoid severe long-term health problems. Antibody tests can take three weeks or more for the antibody levels to reach a point where the tests can pick up a positive result. Those involved in the paper joined forces after meeting at Cold Spring Harbor Laboratory’s Banbury Center, a non-profit research institution in New York. The meeting organized and chaired by Schutzer and John A. Branda, assistant professor of pathology at Harvard Medical School, focused on current Lyme disease tests and new scientific advances made in increasing the accuracy of the diagnosis.
Rutgers Universityhttps://tinyurl.com/ya2mpslr
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As the result of a six-year long research process, Fredrick R. Schumacher, PhD, a cancer epidemiology researcher at Case Western Reserve University School of Medicine, and an international team of more than 100 colleagues have identified 63 new genetic variations that could indicate higher risk of prostate cancer in men of European descent. The findings contain significant implications for which men may need to be regularly screened because of higher genetic risk of prostate cancer. The new findings also represent the largest increase in genetic markers for prostate cancer since they were first identified in 2006. The changes, known as genetic markers or SNPs ("snips"), occur when a single base in the DNA differs from the usual base at that position. There are four types of bases: adenine (A), thymine (T), guanine (G), and cytosine (C). The order of these bases determines DNA’s instructions, or genetic code. They can serve as a flag to physicians that a person may be at higher risk for a certain disease. Previously, about 100 SNPs were associated with increased risk of prostate cancer. There are three billion base pairs in the human genome; of these, 163 have now been associated with prostate cancer. One in seven men will be diagnosed with prostate cancer during their lifetimes. “Our findings will allow us to identify which men should have early and regular PSA screenings and these findings may eventually inform treatment decisions,” said Schumacher. PSA is a blood test used to screen for prostate cancer. It measures the amount of prostate-specific antigen (PSA) in the blood. PSA is a protein produced by both cancerous and noncancerous tissue in the prostate. Adding the 63 new SNPs to the 100 that are already known allows for the creation of a genetic risk score for prostate cancer. In the new study, the researchers found that men in the top one percent of the genetic risk score had a six-fold risk-increase of prostate cancer compared to men with an average genetic risk score. Those who had the fewest number of these SNPs, or a low genetic risk score, had the lowest likelihood of having prostate cancer. In a meta-analysis that combined both previous and new research data, Schumacher, with colleagues from Europe and Australia, examined DNA sequences of about 80,000 men with prostate cancer and about 60,000 men who didn’t have the disease. They found that men with cancer had a higher frequency of 63 different SNPs (also known as single nucleotide polymorphisms) that men without the disease did not have. Additionally, the more of these SNPs that a man has, the more likely he is to develop prostate cancer. The researchers estimate that there are about 500-1,000 genetic variants possibly linked to prostate cancer, not all of which have yet been identified. “We probably only need to know ten percent to twenty percent of these to provide relevant screening guidelines,” continued Schumacher, who is an associate professor in the Department of Population and Quantitative Health Sciences at Case Western Reserve School of Medicine. Currently, researchers don’t know which of the SNPs are the most predictive of increased prostate cancer risk. Schumacher and a number of colleagues are working to rank those most likely to be linked with prostate cancer, especially with aggressive forms of the disease that require surgery, as opposed to slowly developing versions that call for “watchful waiting” and monitoring. The research lays a foundation for determining who and how often men should undergo PSA tests. “In the future, your genetic risk score may be highly indicative of your prostate cancer risk, which will determine the intensity of PSA screening,” said Schumacher. “We will be working to determine that precise genetic risk score range that would trigger testing. Additionally, if you have a low score, you may need screening less frequently such as every 2-5 years.” A further implication of the findings of the new study is the possibility of precise treatments that do not involve surgery. “Someday it may be feasible to target treatments based on a patient’s prostate cancer genetic risk score,” said Schumacher.
Cape Western Reserve University School of Medicine casemed.case.edu/cwrumed360/news-releases/release.cfm?news_id=1297&news_category=8
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ELITechGroup, a leading company in sample-to-result molecular diagnostics, and R-Biopharm, a globally active life science company, have announced a worldwide agreement to strengthen their positions in molecular infectious disease testing. Under this agreement, R-Biopharm and ELITechGroup will cooperate in the development, production and marketing of Real-Time PCR reagents. “We are very pleased to have won R-Biopharm as a partner to expand our molecular diagnostics portfolio.” said Christoph Gauer, CEO of ELITechGroup. “This collaboration will contribute to complete the menu of our sample-to-result system ELITe InGenius®. We will increase the overall number of CE-IVD assays from currently 23 to 33 by the end of 2018 making ELITe InGenius® the system with the broadest CE-IVD menu on the market.” “Collaborating with ELITechGroup will leverage and strengthen the position of R-Biopharm in the field of Molecular Diagnostics, stated Ralf Dreher, CEO of R-Biopharm. As Molecular Diagnostics is one key pillar within the cross divisional strategy in the R-Biopharm Group, we are confident that this partnership will contribute significantly towards the overall success of the company.”
www.elitechgroup.comwww.r-biopharm.de
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The failure of drugs such as SSRIs, used to treat depression, can be a result of genetic variations in patients. Variations within the gene that encodes the CYP2C19 enzyme results in extreme differences in the levels of escitalopram achieved in patients. Prescribing the dose of escitalopram based on a patient’s specific genetic constitution would greatly improve therapeutic outcomes. The study was conducted at Karolinska Institutet in association with researchers at Diakonhjemmet Hospital in Oslo. Pharmaceutical treatment of depression commonly makes use of selective serotonin reuptake inhibitors (SSRIs) of which escitalopram is the most frequently administered clinically. However, escitalopram therapy is currently limited by the fact that some patients do not respond well to the drug, while others develop adverse reactions requiring discontinuation of treatment. In order to individualise drug therapy, researchers are attempting to establish genetic biomarkers that can predict an individual’s response to drugs. In a recent study, it was discovered that variation in the gene encoding the enzyme responsible for escitalopram metabolism (CYP2C19) is very important in this respect. Individuals with a variant of the gene promoting increased enzyme expression had blood levels of escitalopram too low to impact the depression symptoms, whereas patients with a defective CYP2C19 gene reached drug levels which were too high. Overall, one third of the 2,087 study participants achieved escitalopram blood levels that were either too high or too low. Interestingly, the researchers found that 30 per cent of the patients carrying gene variants causing excessive or inadequate enzyme levels switched to other drugs within one year, in contrast with only 10 to 12 per cent of patients carrying the common gene. “Our study shows that genotyping of CYP2C19 could be of considerable clinical value in individualising doses of escitalopram so that a better all-round antidepressive effect could be achieved for the patients,” says Professor Magnus Ingelman-Sundberg at Karolinska Institutet’s Department of Physiology and Pharmacology who led the study together with Professor Espen Molden. “Because CYP2C19 is involved in the metabolism of many different SSRIs, the finding is also applicable to other types of antidepressants.” Karolinska Instituteki.se/en/news/genetic-analysis-can-improve-depression-therapy
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Women diagnosed with breast cancer may benefit from having the molecular subtype of different cells within their tumours identified, argue two researchers. While breast cancer is often treated as a whole, they discuss the growing consensus that cancer cells within a tumour can have multiple origins and respond variably to treatment. The authors advocate for the development of more accurate diagnostic tests to capture molecular irregularities between tumour cells. "Breast tumours are moving targets because they are really versatile," says Jun-Lin Guan, Francis Brunning Professor and Chair of the Department of Cancer at the University of Cincinnati College of Medicine and member of the Cincinnati Cancer Center and UC Cancer Institute, who co-authored the paper with postdoctoral fellow Syn Kok Yeo. "If you use a treatment that’s targeting one subtype, which kills one type of breast cancer, often the other kind will actually expand. That defeats the purpose of treatment." Breast cancer cells differ by the types of molecular markers, some of which are found on their surface, which physicians can test to understand the characteristics of a patient’s cancer and devise the best treatment strategy. For example, women with the HER2+ breast cancer subtype generally have a poorer prognosis than those with the luminal A tumours because of how quickly the cells multiply. Often tumour samples are taken and screened for the most common markers present, but Guan and Yeo’s analysis of human and rodent studies raises the possibility that overlapping subtypes are being missed. They advocate for diagnostic testing to be combined with single-cell technologies, in which individual cells, rather than a collection, are screened for molecular markers. However, as they currently exist, single-cell approaches are expensive and require specialized expertise, so they would not be realistic for regular patient screenings. "What we’re talking about is still not widely used in practice–there’s a gap between basic cancer research and the clinics that do the diagnoses," Guan says. "However, single-cell technologies are advancing very quickly, so it’s possible that we can see them being used in the near future." The researchers put forward that the co-existence of distinct breast cancer subtypes within tumors happens because a fraction of breast cancer cells retain many stem cell-like qualities and thus reserve the capability to easily change. This has been observed in human cancer cells and in rodent studies but has yet to be confirmed in patients. Single-cell analysis could assess whether this problem is common or rare in humans. EurekAlert www.eurekalert.org/pub_releases/2017-10/cp-raf101917.php
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A blood test that measures the presence of heart-specific proteins called troponins is used by emergency clinics to diagnose myocardial infarction in patients with chest pain. For the past few years a newer laboratory method has been used at most hospitals in Sweden that is ten times more sensitive than the conventional troponin test. The high-sensitivity troponin test can discover heart attacks earlier so that treatment can commence, which is thought to improve the patients’ prognosis. "But there is a lack of larger studies examining whether the high-sensitivity troponin test is of any significance for patients with newly diagnosed myocardial infarction in terms of survival or the risk of another heart attack," says study leader Dr. Martin Holzmann, associate professor of epidemiology at Karolinska Institutet’s Department of Medicine in Solna and physician at Karolinska University Hospital. The study included all patients in Sweden who had had their first heart attack between 2009 and 2013. This gave a study population of almost 88,000 patients, 40,000 of whom had been diagnosed using the high-sensitivity troponin test and just over 47,000 using the conventional troponin test. The researchers found that five per cent more myocardial infarctions were being diagnosed in hospitals that used the high-sensitivity troponin test. A year after the heart attack was registered there was no difference in mortality between the two groups, although the number of new heart attacks was lower in the group that had been diagnosed using the high-sensitivity troponin test. "This surprised us," says Dr. Holzmann. "We didn’t think that the more sensitive test would affect the risk of future heart attacks." The use of coronary angiography and balloon angioplasty was 16 and 13 per cent more common, respectively in the patients diagnosed with the high-sensitivity troponin test. In the USA, where the new test was not approved until 2017, there are fears that the more sensitive methods can entail a large increase in the number of examinations with no benefit to the patients. "The increase we observed in our study was less than expected, which means that the high-sensitivity troponin test has enabled doctors to single out the patients who benefit from such intervention. We found no differences in medication between the two groups, so the differences in prognosis with fewer new heart attacks could be attributed to the fact that more coronary angiography and balloon dilation procedures have been performed on the right patients," says Dr. Holzmann, who also believes that the study supports the idea that the handful of hospitals in Sweden that still do not use the high-sensitivity troponin test should start to do so.
Cervical fluid samples gathered during routine Papanicolaou (Pap) tests are the basis of a new screening test for endometrial and ovarian cancers developed by researchers at the Johns Hopkins Kimmel Cancer Center. PapSEEK detects mutations in DNA that have been identified for specific cancers sooner. Earlier detection of cancer could lead to earlier treatment and potentially better outcomes for patients. The test uses cervical fluid samples to look for mutations in 18 genes, which are highly or commonly mutated in endometrial or ovarian cancers, and aneuploidy, the presence of abnormal numbers of chromosomes in cells. The researchers said their results showed the potential for mutation-based diagnostics to detect endometrial and ovarian cancers earlier. “More than 86,000 U.S. cases of endometrial and ovarian cancer were diagnosed in 2017. Treatment often involves surgery and, in some cases, chemotherapy or radiation,” said Amanda Nickles Fader, M.D., director of the Johns Hopkins Kelly Gynecological Oncology Service, Department of Gynecology and Obstetrics, and a corresponding author on this study. “Additionally for young women who are diagnosed, loss of fertility is common. If we could detect the cancer earlier using a test like PapSEEK, the potential to achieve more cures and preserve fertility in select women could be realized.” Most cancers are curable if they are detected early, and the researchers are exploring ways to use cancer gene discoveries to develop cancer screening tests to improve cancer survival. They announced the development of CancerSEEK, a single blood test that screens for eight cancer types, and UroSEEK, a test that uses urine to detect for bladder and upper tract urothelial cancer. PapSEEK targets the most common and most lethal gynaecological cancers, endometrial and ovarian cancer. There is currently no screening test for endometrial cancer and, due to the obesity epidemic, it is on the rise, particularly in younger women. “Gynaecological cancers are responsible for approximately 25,000 deaths per year and are the third leading cause of cancer-related mortality,” said Nickolas Papadopoulos, Ph.D., a senior author and an investigator at the Ludwig Center at Johns Hopkins. “Most of the deaths are caused by tumours that metastasize prior to the onset of symptoms. With PapSEEK, we are aiming to detect these cancers early when they are most curable.” Since fluid from the Pap test occasionally contains cells from the endometrium or ovaries, researchers found they could detect cancer cells from these organs that are present in the fluid. John Hopkins Kimmel Cancer Centerwww.hopkinsmedicine.org/news/media/releases/pap_test_fluids_used_in_gene_based_screening_test_for_two_gyn_cancers
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EKF Diagnostics announces that its Stanbio Chemistry Procalcitonin (PCT) LiquiColor® assay has been FDA cleared and validated for use on Beckman AU 480, 680 and 5800 clinical chemistry analysers. EKF is pleased to confirm the immediate availability of a user-defined application (UDA) for running this 10-minute test for bacterial infection and sepsis on these Beckman AU analysers. PCT is a widely accepted marker for use in conjunction with other tests to quickly identify sepsis and monitor progression/severity over time. EKF’s PCT test is designed to be used on an open channel of most main brand clinical chemistry analysers, including Roche Cobas, Abbott Architect and Hitachi systems. Therefore, the availability of the user-defined application (UDA) on Beckman AU analysers further increases the breadth of application of the LiquiColor PCT assay. Trevor McCarthy, Sales Manager, EKF Central Laboratory Products, EMEA/APAC said, “The news regarding the FDA clearance and Beckman AU analyser validated application for the PCT LiquiColor assay will bolster trust in the quality and reliability of our product. Having EKF’s PCT assay validated on Beckman AU chemistry analysers allows us to provide a competitive alternative product for hospital labs and should open up new markets and opportunities for us to support improved and early detection of sepsis.” The cost-effective, immunoturbidimetric assay, which features the use of monoclonal antibodies coated to latex particles, can determine PCT from just 20µL of serum and plasma specimens. Conveniently, the reagent set requires no reagent preparation and is designed to be used on open chemistry systems. It is available in a liquid-stable format, meaning that it can remain on-board a clinical chemistry analyser for up to four weeks. PCT is a quick and effective adjunct marker in sepsis diagnosis which helps to differentiate between viral and bacterial infections, so enabling early administration of antimicrobial therapy. It is an important test, as the Surviving Sepsis Campaign (SSC) estimates that the incidence of sepsis is 3 per 1,000 worldwide. There has been a steady rise in the number of patients with sepsis; globally there are now over 18 million cases per year. Due to its high mortality, sepsis is a primary cause of death, accounting for over 60% of deaths per year in the developing world. It kills over 6 million new-borns and children each year and there are over 100,000 cases of maternal sepsis. In addition to improving sepsis survival rates and improving antibiotic stewardship, studies have also shown that PCT testing reduces hospital costs and length of stay. For example, a recent large cohort study examined whether PCT testing helps to more effectively manage sepsis care. The study found that use of PCT testing on day one of admission into the ICU lead to an average of 1.2 fewer hospital days than patients who were not screened and saved an average of $2,759 (€2,337) on their total hospital costs.
www.ekfdiagnostics.com
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