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November 2025
The leading international magazine for Clinical laboratory Equipment for everyone in the Vitro diagnostics
Prins Hendrikstraat 1
5611HH Eindhoven
The Netherlands
info@clinlabint.com
PanGlobal Media is not responsible for any error or omission that might occur in the electronic display of product or company data.
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Genomics tool for more accurate identification of rare mutations in cancer cells
, /in E-News /by 3wmediaA new computational method developed by researchers at the New York Genome Center (NYGC) allows scientists to identify rare gene mutations in cancer cells with greater accuracy and sensitivity than currently available approaches.
The technique is called Lancet and represents a major advance in the identification of tumour cell mutations, a process known as somatic variant calling.
"With its unique ability to jointly analyse the whole genome of tumour and matched normal cells, Lancet provides a useful tool for researchers to conduct more accurate genome-wide somatic variant calling," notes first author Giuseppe Narzisi, PhD, Senior Bioinformatics Scientist, NYGC.
To identify gene mutations in cancer cells, researchers sequence the genomes of tumour cells and normal cells. Current computational methods then involve comparing both tumour and normal to a reference genome and looking for differences unique to the tumour. Lancet instead uses an approach called micro-assembly to reconstruct the complete sequences of small regions of the genome without relying on a reference. Because the approach does not rely on a reference to identify variants, it also works well in regions of the genome where comparing reads to a reference is challenging for technical reasons. By using a data structure called a coloured de Bruijn graph, Lancet jointly analyses the tumour and normal DNA, providing greater sensitivity to find rare variants unique to the tumour while also providing greater accuracy of differentiating tumour variants from those present in healthy tissue in that individual. Using Lancet to combine the sequencing data from the normal and tumour cells represents a more powerful way of identifying mutations, Dr. Narzisi said, since users are no longer dependent on analysing sequence data from tumour and normal cells separately.
In the study, through extensive experimental comparison on synthetic and real whole-genome sequencing datasets, the researchers demonstrated that Lancet performed better and had higher accuracy and better sensitivity to detect somatic variants compared to the most widely-used somatic variant callers.
"In our study, we show that existing tools are not that precise in scoring mutations, so that some candidate variants which were highly scored by some tools ended up being false positives," Dr. Narzisi said. "That becomes a problem when you want to prioritize which variants to validate using other technologies or you want to move forward with a clinical study. You may end up focusing on variants that do not exist."
EurekAlertwww.eurekalert.org/pub_releases/2018-03/nygc-ngt032218.php
Gene-based test for urine detects, monitors bladder cancer
, /in E-News /by 3wmediaResearchers at The Johns Hopkins Kimmel Cancer Center have developed a test for urine, gathered during a routine procedure, to detect DNA mutations identified with urothelial cancers.
UroSEEK uses urine samples to seek out mutations in 11 genes or the presence of abnormal numbers of chromosomes that would indicate the presence of DNA associated with bladder cancer or upper tract urothelial cancer (UTUC).
The researchers said the test, when combined with cytology, the gold standard non-invasive test currently used for detection, significantly enhanced early detection for patients who are considered at risk for bladder cancer and surveillance of patients who had already been treated for bladder cancer.
“There were nearly 80,000 new cases of bladder cancer and more than 18,000 deaths in 2017,” said George Netto, M.D., a senior author on the UroSEEK paper, formerly at The Johns Hopkins University and currently chair of pathology at the University of Alabama-Birmingham. “This is about using the urine to detect the cancer. UroSEEK is a method of detection that many people have tried to find that is non-invasive.”
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 PapSEEK, a test that uses cervical fluid samples to screen for endometrial and ovarian cancers.
UroSEEK is aimed toward early detection of bladder cancer in at-risk patients, those who may have blood in their urine or people who smoke, as well as patients who have already gone through a procedure to treat bladder cancer and need to be monitored for any recurrence of the disease.
“In almost one-third of patients, bladder cancer detection is late. The cancer has already gotten into the surrounding muscle,” Netto said. “Even in those detected at an earlier stage, the tumours frequently recur. Patients are committed to a lifelong surveillance that requires invasive cystoscopy procedures and biopsies and is costly.”
Saying current non-invasive approaches for detection of urothelial cancer are suboptimal, researchers wanted to develop a test for bladder and UTUC cancer that would allow it to be found sooner and cheaper than current methods using cytology, which is not particularly sensitive and does not do well in detecting low-grade bladder cancer or UTUC.
Researchers studied 570 patients who were considered at risk for bladder cancer and found UroSEEK was 83 percent positive in those who developed cancer. When combined with cytology, the sensitivity increased to 95 percent of patients who developed the disease.
“When you combine them, you get better results,” said Nickolas Papadopoulos, Ph.D., a senior author and an investigator at the Ludwig Center at Johns Hopkins. “Side by side, UroSEEK has better sensitivity. There are some cases when cytology detects when UroSEEK doesn’t. Combining them produces the best results.”
John Hopkins Kimmel Cancer Centerwww.hopkinsmedicine.org/news/media/releases/gene_based_test_for_urine_detects_monitors_bladder_cancer
Pap test fluids used in gene-based screening test for two Gyn cancers
, /in E-News /by 3wmediaCervical 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
Parkinson’s gene initiates disease outside of the brain
, /in E-News /by 3wmediaUntil very recently, Parkinson’s had been thought a disease that starts in the brain, destroying motion centres and resulting in the tremors and loss of movement. New research shows the most common Parkinson’s gene mutation may change how immune cells react to generic infections like colds, which in turn trigger the inflammatory reaction in the brain that causes Parkinson’s. The research offers a new understanding of Parkinson’s disease.
“We know that brain cells called microglia cause the inflammation that ultimately destroys the area of the brain responsible for movement in Parkinson’s,” said Richard Smeyne, PhD, Director of the Jefferson Comprehensive Parkinson’s Disease and Movement Disorder Center at the Vickie and Jack Farber Institute for Neuroscience. “But it wasn’t clear how a common inherited mutation was involved in that process, and whether the mutation altered microglia.”
Together with Dr. Smeyne, first author Elena Kozina, PhD, looked at the mutant version of the LRRK2 gene (pronounced ‘lark’). Mutations in the LRRK2 gene are the most common cause of inherited Parkinson’s disease and are found in 40 percent of people of North African Arab descent and 18 percent of people of Ashkenazi Jewish descent with Parkinson’s. However there’s been controversy around the exact function of the LRRK2 gene in the brain.
“We know that gene mutation is not enough to cause the disease,” said Dr. Kozina, Post-Doctoral student at Jefferson.“We know that twins who both carry the mutation, won’t both necessarily develop Parkinson’s. A second ‘hit’ or initiating event is needed.”
Based on his earlier work showing that the flu might increase risk of Parkinson’s disease, Dr. Smeyne decided to investigate whether that second hit came from an infection. Suspecting that the LRRK2 mutations might be acting outside of the brain, the researchers used an agent — the outer shell of bacteria, called lippopolysaccharide (LPS) – that causes an immune reaction. LPS itself does not pass into the brain, nor do the immune cells it activates, which made it ideal for testing whether this second hit was acting directly in the brain.
When the researchers gave the bacterial fragments to the mice carrying the two most common LRRK2 gene mutations, the immune reaction became a “cytokine storm,” with inflammatory mediators rising to levels that 3-5 times higher than a normal reaction to LPS. These inflammatory mediators were produced by T and B immune cells expressing the LRRK2 mutation.
Despite the fact that LPS did not cross the blood-brain barrier, the researchers showed that the elevated cytokines were able to enter the brain, creating an environment that caused the microglia to activate pathologically and destroy the brain region involved in movement.
“Although more tests are needed to prove the link, as well as testing whether the same is true in humans, these findings give us a new way to think about how these mutations could cause Parkinson’s,” said Dr. Smeyne. “Although we can’t treat people with immunosuppressants their whole lives to prevent the disease, if this mechanism is confirmed, it’s possible that other interventions could be effective at reducing the chance of developing the disease.”
Thomas Jefferson Universitywww.jefferson.edu/university/news/2018/03/21/Parkinsons_gene_triggers_the_disease_from_outside_brain.html
Proteins reveal new mechanisms in prostate cancer
, /in E-News /by 3wmediaA study by the University of Tampere in Finland used protein profiling to find new prostate cancer mechanisms that are not shown by aberrations at the genomic level. Several new potential biomarkers of prostate cancer were also found.
Genes that affect prostate cancer evolution have been studied for a long time. However, changes in the protein levels are not well known.
The Center for Prostate Cancer Research and the Center for Proteomics and Personalized Medicine at the University of Tampere cooperated to profile the protein expression of prostate cancer by using mass spectrometry for the first time. The researchers compared protein expression to genomic and messenger RNAs in the same samples.
The result was that the changes in gene copy numbers and DNA methylation largely explain messenger RNA expression but not the changes on the protein level. The association between messenger RNA expression and protein levels was also weak. The study thus uncovered such mechanisms of prostate cancer that are not indicated by the alterations at the genomic level.
“In particular, changes in the citric acid cycle emerged in our analyses,” Adjunct Professor Leena Latonen says.
“The results enable exploring the significance of these changes," Latonen continues.
In addition to the disease mechanisms, protein profiling revealed several potential new biomarkers.
According to Professor Tapio Visakorpi, biomarkers able to recognize the aggressive forms of prostate cancer would be especially useful. That is one of the aspects on which the researchers will focus next.
“Discovering these protein biomarkers was enabled by the long-term interdisciplinary work of the research groups on the Kauppi campus of the University of Tampere,” says Professor Hannu Uusitalo, Director of the Center for Proteomics and Personalized Medicine.
University of Tamperewww.uta.fi/en/news/story/proteins-reveal-new-mechanisms-prostate-cancer
Mutations of the bassoon gene causing new brain disorder
, /in E-News /by 3wmediaNewly discovered gene mutations may help explain the cause of a disease that drastically impairs walking and thinking.
Mutations have been found in the bassoon (BSN) gene, which is involved with the central nervous system, in patients with symptoms similar to, but different from, a rare brain disorder called progressive supranuclear palsy (PSP).
PSP, a form of Parkinson’s disease, is often difficult to diagnose because it can affect people in different ways. Serious problems often include difficulty with walking and balance in addition to a decline in cognitive abilities such as frontal lobe dysfunction.
A team of Japanese researchers investigated patients whose symptoms resembled not only PSP but also Alzheimer’s disease. Despite similarities in the symptoms, detailed pathological analyses showed no resemblance to either disease, which prompted the team to further research the new disease’s underlying mechanism.
They first analysed the genomes of a Japanese family with several members displaying PSP-like symptoms. They identified a mutation in the BSN gene only in family members with symptoms. These individuals did not have mutations in the 52 other genes associated with PSP and other neurological disorders such as Alzheimer’s and Parkinson’s. This was the first time BSN gene is associated with a neurological disorder.
The researchers also detected three other mutations in the BSN gene in four out of 41 other patients displaying sporadic, or non-familial, PSP-like symptoms. None of the BSN mutations were detected in a random sample of 100 healthy individuals, underscoring the strong involvement of BSN mutations in the disease.
An autopsy done on one of the family members with the BSN mutation showed an accumulation of a protein called tau in the brain, which is not seen in a normal brain. The researchers believe that the BSN mutation is involved in the tau accumulation, which could cause the development of PSP-like symptoms. An experiment introducing a mutated rat BSN gene to cultured cells also suggested that the mutation causes the accumulation of tau. Communication between nerve fibres could also be affected, as BSN protein play a role in it.
ScienceDailywww.sciencedaily.com/releases/2018/03/180323093731.htm
Brand name change
, /in E-News /by 3wmediaPanasonic Biomedical Sales Europe’s new brand name has become PHCbi
Life Science Innovators Since 1966
For more information please click here
A new blood test useful to detect people at risk of developing Alzheimer’s disease
, /in E-News /by 3wmediaThere is as yet no cure for Alzheimer’s disease. It is often argued that progress in drug research has been hampered by the fact that the disease can only be diagnosed when it is too late for an effective intervention. Alzheimer’s disease is thought to begin long before patients show typical symptoms like memory loss. Scientists have now developed a blood test for Alzheimer’s disease and found that it can detect early indicators of the disease long before the first symptoms appear in patients. The blood test would thus offer an opportunity to identify those at risk and may thereby open the door to new avenues in drug discovery.
One of the hallmarks of Alzheimer’s disease is the accumulation of amyloid-β plaques in the patient’s brain. The blood test, developed by Klaus Gerwert and his team at Ruhr University Bochum, Germany, works by measuring the relative amounts of a pathological and a healthy form of amyloid-β in the blood. The pathological form is a misfolded version of this molecule and known to initiate the formation of toxic plaques in the brain. Toxic amyloid-β molecules start accumulating in the patients’ body 15-20 years before disease onset. In the present study, Gerwert and colleagues from Germany and Sweden addressed whether the blood test would be able to pick up indications of pathological amyloid-β in very early phases of the disease.
The researchers first focused on patients in the early, so called prodromal stages of the disease from the Swedish BioFINDER cohort conducted by Oskar Hanson. They found that the test reliably detected amyloid-β alterations in the blood of participants with mild cognitive impairment that also showed abnormal amyloid deposits in brain scans.
In a next step, Gerwert and colleagues investigated if their assay was able to detect blood changes well ahead of disease onset. They used data from the ESTHER cohort study, which Hermann Brenner started in 2000 at DKFZ, comparing blood samples of 65 participants that were later in the follow-up studies diagnosed with Alzheimer’s disease with 809 controls. The assay was able to detect signs of the disease on average eight years before diagnosis in individuals without clinical symptoms. It correctly identified those with the disease in almost 70% of the cases, while about 9% of true negative subjects would wrongly be detected as positive. The overall diagnostic accuracy was 86%.
Currently available diagnostic tools for Alzheimer’s disease either involve expensive positron emission tomography (PET) brain scans, or analyse samples of cerebrospinal fluid that are extracted via lumbar puncture. The researchers suggest that their blood test serves as a cheap and simple option to pre-select individuals from the general population for further testing by these more invasive and costly methods to exclude the falsely positive subjects.
EMBOwww.embo.org/news/press-releases/2018/a-new-blood-test-useful-to-detect-people-at-risk-of-developing-alzheimer-s-disease
Machine learning finds tumour gene variants and sensitivity to drugs
, /in E-News /by 3wmediaMatching unique genetic information from cancer patients’ tumours with treatment options – an emerging area of precision medicine efforts – often fails to identify all patients who may respond to certain therapies. Other molecular information from patients may reveal these so-called “hidden responders,” according to a Penn Medicine.
“Targeted sequencing can find individuals with certain mutations that are thought to confer susceptibility to anti-cancer drugs,” said senior author Casey Greene, PhD, an assistant professor of Pharmacology in the Perelman School of Medicine at the University of Pennsylvania. “But many people may lack these mutations, and as machine learning approaches improve they may help guide these patients to appropriate therapies.
”Greene and first author and doctoral student Gregory P. Way used machine learning to classify abnormal protein activity in tumours. This branch of artificial intelligence develops computer programs that can use new data to learn and make predictions. The algorithm they devised to search TCGA integrates genetic data from 33 different cancer types. Greene and Way used information from the transcriptome, the grand total of all messenger RNAs expressed within an individual.
They specifically applied their model to the Ras pathway, a family of genes that make proteins that govern cell replication and death. Changes in the normal function of Ras proteins – mutations which are responsible for 30 percent of all cancers – can power cancer cells to grow and spread. These mutations are often referred to as the “undruggable Ras,” having beaten back a variety of investigational inhibitor drugs and vaccine-based therapies.
“This model was trained on genetic data from human tumours in The Cancer Genome Atlas and was able to predict response to certain inhibitors that affect cancers with overactive Ras signalling in an encyclopaedia of cancer cell lines,” Greene said. The upshot is that the transcriptome is underused in bringing precision to oncology, but when combined with machine learning it can aid in identifying potential hidden responders.
The Penn team collaborated with co-author Yolanda Sanchez, PhD, a cancer biologist from the Geisel School of Medicine at Dartmouth College. They are working together to mesh her identification of compounds that target tumors with runaway Ras activity and tumour data (analysed by machine learning) to find patients who could benefit from these potential cancer drugs.
“For precision medicine to benefit individuals in real time, we must develop robust models to efficiently test efficacy of potential therapies,” Sanchez said. “We can use this very powerful combined approach of machine learning-guided drug discovery using Avatars, which are mice carrying identical copies of a patient’s tumors. The Avatars allow our interdisciplinary team to identify the tumours with runaway Ras activity and evaluate and compare multiple therapies in real time.”
Penn Medicinewww.pennmedicine.org/news/news-releases/2018/april/seeking-hidden-responders-machine-learning
Scientists help redefine how cancer is categorized
, /in E-News /by 3wmediaVan Andel Research Institute (VARI) announced that the work of its scientists is featured in 27 papers focused on the output of The Cancer Genome Atlas (TCGA).
The findings are the result of a global scientific collaboration and mark the culmination of TCGA, a multi-institutional, joint effort between the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI) to develop a comprehensive scientific resource for better categorizing cancer. The more than decade-long initiative is the most in-depth undertaking of its kind, spanning 10,000 tumours across 33 cancer types.
“TCGA’s findings have greatly deepened our molecular understanding of the major cancer types,” said Peter W. Laird, Ph.D., a professor at VARI who led the DNA methylation analysis for TCGA Research Network and who is senior author on two of today’s papers. “It is our hope that these publications will serve as a guide for scientists who plan to harness TCGA’s robust data to develop new, more personalized methods of patient care.”
This research, which represents the project’s capstone, joins dozens of other papers that have been published since TCGA’s inception in 2005. Collectively, they provide a highly detailed description of molecular changes occurring in all major human cancers. The use of this molecular atlas is rapidly expanding, with more than 1,000 publications citing TCGA data in 2017 alone.
TCGA data may be accessed through the National Cancer Institute’s Genomic Data Commons Data Portal (portal.gdc.cancer.gov).
Along with Laird, VARI Assistant Professor Hui Shen, Ph.D., contributed to many of today’s papers, summaries of which may be found below. Shen also is one of six experts who authored retrospectives on TCGA’s legacy, which also were published.
A full list of papers may be found at www.cell.com/consortium/pancanceratlas.
Van Andel Institutewww.vai.org/news-release-4-5-2018/