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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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A map for eye disease
, /in E-News /by 3wmediaUnderstanding eye diseases is tricky enough. Knowing what causes them at the molecular level is even more confounding.
Now, University of Iowa researchers have created the most detailed map to date of a region of the human eye long associated with blinding diseases, such as age-related macular degeneration. The high-resolution molecular map catalogues thousands of proteins in the choroid, which supplies blood and oxygen to the outer retina, itself critical in vision. By seeing differences in the abundance of proteins in different areas of the choroid, the researchers can begin to figure out which proteins may be the critical actors in vision loss and eye disease.
“This molecular map now gives us clues why certain areas of the choroid are more sensitive to certain diseases, as well as where to target therapies and why,” says Vinit Mahajan, assistant professor in ophthalmology at the UI and corresponding author on the paper. “Before this, we just didn’t know what was where.”
What vision specialists know is many eye diseases, including age-related macular degeneration (AMD), are caused by inflammation that damages the choroid and the accompanying cellular network known as the retinal pigment epithelium (RPE). Yet they’ve been vexed by the anatomy: Why does it seem that some areas of the choroid-RPE are more susceptible to disease than others, and what is happening at the molecular level? The researchers set about to answer that question with non-diseased eye tissue donated by three deceased older individuals through the Iowa Lions Eye Bank. From there, Mahajan and Jessica Skeie, a post-doctoral researcher in ophthalmology at the UI, created a map that catalogues more than 4,000 unique proteins in each of the three areas of the choroid-RPE: the fovea, macula, and the periphery.
Why that’s important is now the researchers can see which proteins are more abundant in certain areas, and why. One such example is a protein known as CFH, which helps prevent a molecular cascade that can lead to AMD, much like a levee can keep flooding waters at bay. The UI researchers learned, though the map, that CFH is most abundant in the fovea. That helps, because now they know to monitor CFH abundance there; fewer numbers of the protein could mean increased risk for AMD, for instance.
“Now you can see all those differences that you couldn’t see before,” explains Mahajan, whose primary appointment is in the Carver College of Medicine. University of Iowa
Taking the guesswork out of cancer therapy
, /in E-News /by 3wmediaResearchers and doctors at the Institute of Bioengineering and Nanotechnology (IBN), Singapore General Hospital (SGH) and National Cancer Centre Singapore (NCCS) have co-developed the first molecular test kit that can predict treatment and survival outcomes in kidney cancer patients.
According to IBN Executive Director Professor Jackie Y. Ying, “By combining our expertise in molecular diagnostics and cancer research, we have developed the first genetic test to help doctors prescribe the appropriate treatment for kidney cancer patients based on their tumor profile.”
Dr. Min-Han Tan, who is IBN Team Leader and Principal Research Scientist and a visiting consultant at the Division of Medical Oncology NCCS, shared his motivation, “As a practicing oncologist, I have cared for many patients with kidney cancer. I see the high costs of cancer care, the unpredictable outcomes and occasional futility of even the best available drugs. This experience inspired our development of this assay to improve all these for patients.”
The study was conducted retrospectively with tissue samples collected from close to 280 clear cell renal cell carcinoma (ccRCC) patients who underwent surgery at SGH between 1999 and 2012.
“High quality tissue samples are crucial in achieving significant findings in biomedical research. As an Academic Medical Center, we wish to promote the translation of research into advances in healthcare and personalised medicine. The development of this test kit for patient care, utilizing the robust tissue archive that we have at SGH, is a good example of this,” said Professor Tan Puay Hoon, Head and Senior Consultant, Department of Pathology, SGH.
Kidney cancer is among the ten most frequent cancers affecting men in Singapore, according to The Singapore Cancer Registry (2009-2013). The most common type of kidney cancer is clear cell renal cell carcinoma. Treatment options include surgery, ablation or removal of the tumour, or targeted therapy to shrink or slow the growth of the cancer. The latter works by blocking the growth of new blood vessels (angiogenesis) or important proteins in cancer cells (tyrosine kinase) that nourish the tumours and help them survive.
According to Dr. Min-Han Tan, there are currently about 250 new patients diagnosed with kidney cancer per year in Singapore. “Outcomes can be very different. Some patients can be observed for years on end, some benefit from immediate treatment including surgery or targeted therapy, and for some patients, treatment can be futile. Experience is required in making the right judgment for patients. We hope our assay will play a role in helping that judgment.”
Targeted drugs are prescribed routinely for cancer patients. Revenues from anti-angiogenic drugs, such as Sutent and Nexavar, are estimated at several billion dollars annually.
Such drugs, however, are not only expensive but may cause side effects in patients, including fatigue, loss of appetite, nausea, diarrhea, pain, high blood pressure, bleeding and heart problems. Due to genetic variations, individual patients respond differently to these drugs and have different survival outcomes.
Pharmaceutical companies and academic institutions have invested heavily in seeking out tools and biomarkers to predict personalized outcomes with these therapies, and the development of a reliable anti-angiogenic predictor would be of significant interest to them.
Extensive molecular characterization of ccRCC by the team and other researchers worldwide in recent studies has suggested the existence of specific subtypes with different survival outcomes. The researchers therefore set out to discover reliable biomarkers that could improve the prognostic prediction, and identify patients who would be likely to benefit from one type of treatment.
For this purpose, the team designed a practical assay for studying/diagnosing real-world tumour samples from ccRCC patients. The assay was able to distinguish patients into groups of different survival and treatment outcomes. This is one of the first assays capable of predicting outcomes of anti-angiogenic therapy, a key goal for cancer care and industry.
Dr. Tan added, “Our diagnostic assay successfully classified ccRCC into groups correlating to different survival and treatment outcomes. This allows patients and doctors to make more educated choices in their treatment options. Additionally, the development of such assays in Singapore demonstrates the highest levels of research, care and expertise that are available to our patients here.” A-Star
Study reveals one reason brain tumours are more common in men
, /in E-News /by 3wmediaReduced levels of an anti-cancer protein make male brain cells more vulnerable to becoming tumors, according to a new study at Washington University School of Medicine in St. Louis.
New research at Washington University School of Medicine in St. Louis helps explain why brain tumours occur more often in males and frequently are more harmful than similar tumours in females. For example, glioblastomas, the most common malignant brain tumours, are diagnosed twice as often in males, who suffer greater cognitive impairments than females and do not survive as long.
The researchers found that retinoblastoma protein (RB), a protein known to reduce cancer risk, is significantly less active in male brain cells than in female brain cells.
“This is the first time anyone ever has identified a sex-linked difference that affects tumour risk and is intrinsic to cells, and that’s very exciting,” said senior author Joshua Rubin, MD, PhD. “These results suggest we need to go back and look at multiple pathways linked to cancer, checking for sex differences. Sex-based distinctions at the level of the cell may not only influence cancer risk but also the effectiveness of treatments.”
Rubin noted that RB is the target of drugs now being evaluated in clinical trials. Trial organizers hope the drugs trigger the protein’s anti-tumour effects and help cancer patients survive longer.
“In clinical trials, we typically examine data from male and female patients together, and that could be masking positive or negative responses that are limited to one sex,” said Rubin, who is an associate professor of pediatrics, neurology and anatomy and neurobiology. “At the very least, we should think about analysing data for males and females separately in clinical trials.”
Scientists have identified many sex-linked diseases that either occur at different rates in males and females or cause different symptoms based on sex. These distinctions often are linked to sex hormones, which create and maintain many but not all of the biological differences between the sexes.
However, Rubin and his colleagues knew that sex hormones could not account for the differences in brain tumour risk.
“Male brain tumor risk remains higher throughout life despite major age-linked shifts in sex hormone production in males and females,” he said. “If the sex hormones were causing this effect, we’d see major changes in the relative rates of brain tumours in males and females at puberty. But they don’t happen then or later in life when menopause changes female sex hormone production.”
Rubin used a cell model of glioblastoma to prove it is easier to make male brain cells become tumors. After a series of genetic alterations and exposure to a growth factor, male brain cells became cancerous faster and more often than female brain cells. Washington University School of Medicine
Scientists find genetic mutations linked to salivary gland tumours
, /in E-News /by 3wmediaResearch conducted at the Florida campus of The Scripps Research Institute (TSRI) has discovered links between a set of genes known to promote tumour growth and mucoepidermoid carcinoma, an oral cancer that affects the salivary glands. The discovery could help physicians develop new treatments that target the cancer’s underlying genetic causes.
The research shows that a pair of proteins joined together by a genetic mutation—known as CRTC1/MAML2 (C1/M2)—work with MYC, a protein commonly associated with other cancers, to promote the oral cancer’s growth and spread.
“This research provides new insights into the molecular mechanisms of these malignances and points to a new direction for potential therapies,” says TSRI biologist Michael Conkright, Ph.D., who led the study.
The C1/M2 protein is created when the genes encoding CRTC1 and MAML2 mutate into a single gene through a process known as chromosomal translocation. Such mutant “chimera” genes are linked to the formation of several forms of cancer. The team discovered that the C1/M2 protein further activates genetic pathways regulated by MYC, in addition to CREB, to begin a series of cellular changes leading to the development of mucoepidermoid carcinoma.
“The identification of unique interactions between C1/M2 and MYC suggests that drugs capable of disrupting these interactions may have therapeutic potential in the treatment of mucoepidermoid carcinomas,” said Antonio L. Amelio, Ph.D., first author of the study who is now assistant professor with the UNC School of Dentistry and member of the UNC Lineberger Comprehensive Cancer Center.
Researchers have known about the role of C1/M2 and its interactions with another protein, CREB, in the development of mucoepidermoid carcinoma, and physicians screen patients for the presence of the C1/M2 protein when testing for this cancer. These new findings deepen the understanding of C1/M2’s role by revealing that it works with a family of cancer-associated genes known as the MYC family to drive the cellular changes necessary for a tumour to develop.
The discovery of these new protein interactions may also reveal insights into the mechanisms behind other cancers that arise due to other genetic mutations involving the CREB and MYC pathways. The Scripps Research Institute
New culprit identified in metabolic syndrome
, /in E-News /by 3wmediaA new study suggests uric acid may play a role in causing metabolic syndrome, a cluster of risk factors that increases the risk of heart disease and type 2 diabetes.
Uric acid is a normal waste product removed from the body by the kidneys and intestines and released in urine and stool. Elevated levels of uric acid are known to cause gout, an accumulation of the acid in the joints. High levels also are associated with the markers of metabolic syndrome, which is characterized by obesity, high blood pressure, elevated blood sugar and high cholesterol. But it has been unclear whether uric acid itself is causing damage or is simply a by-product of other processes that lead to dysfunctional metabolism.
New research at Washington University School of Medicine in St. Louis suggests excess uric acid in the blood is no innocent bystander. Rather, it appears to be a culprit in disrupting normal metabolism.
“Uric acid may play a direct, causative role in the development of metabolic syndrome,” said first author Brian J. DeBosch, MD, PhD, an instructor in paediatrics. “Our work showed that the gut is an important clearance mechanism for uric acid, opening the door to new potential therapies for preventing or treating type 2 diabetes and metabolic syndrome.”
Recent research by the paper’s senior author, Kelle H. Moley, MD, the James P. Crane Professor of Obstetrics and Gynecology, and her collaborators has shown that a protein called GLUT9 is an important transporter of uric acid.
DeBosch, a paediatric gastroenterologist who treats patients at St. Louis Children’s Hospital, studied mice to learn what happens when GLUT9 stops working in the gut, essentially blocking the body’s ability to remove uric acid from the intestine. In this study, the kidney’s ability to remove uric acid remained normal.
Eating regular chow, mice missing GLUT9 only in the gut quickly developed elevated uric acid in the blood and urine compared with control mice. And at only 6-8 weeks of age, they developed hallmarks of metabolic syndrome: high blood pressure, elevated cholesterol, high blood insulin and fatty liver deposits, among other symptoms.
The researchers also found that the drug allopurinol, which reduces uric acid production in the body and has long been used to treat gout, improved some, but not all, of the measures of metabolic health. Treatment with the drug lowered blood pressure and total cholesterol levels.
Exposure to uric acid is impossible to avoid because it is a normal by-product of cell turnover in the body. But there is evidence that diet may contribute to uric acid levels. Many foods contain compounds called purines that break down into uric acid. And adding to growing concerns about fructose in the diet, evidence suggests that fructose metabolism in the liver also drives uric acid production.
“Switching so heavily to fructose in foods over the past 30 years has been devastating,” Moley said. “There’s a growing feeling that uric acid is a cause, not a consequence, of metabolic syndrome. And now we know fructose directly makes uric acid in the liver. With that in mind, we are doing further research to study what happens to these mice on a high-fructose diet.” University of Washington at St. Louis
Individual genotype influences effectiveness of HIV vaccine
, /in E-News /by 3wmediaAlmost 40 million people worldwide live with HIV/AIDS. Despite great effort, HIV-1 vaccine development has been challenging. A recent HIV vaccine trial, known as RV144, revealed that a combination of 2 vaccines protected some individuals from HIV infection. Individuals in the trial that made antibodies that bound to a specific region of the HIV envelope protein had a decreased risk of HIV infection. A new study reveals that an individual’s genotype correlates with their ability to develop immunity to HIV in response to vaccination. Sue Li and colleagues at the Fred Hutchinson Cancer Research Center sequenced genes in RV144 participants that are involved in antibody production. The authors identified single nucleotide variations in genes that encode antibody receptors, which are important for protective immunity. They found that the majority of individuals with specific variants of the FCGR2C gene were protected from HIV infection after vaccination whereas a different form of FCGR2C was not associated with protection. Their study provides important insight into the variable response of individuals in the RV144 trial. EurekAlert
Scientists make breakthroughs in ovarian cancer research
, /in E-News /by 3wmediaScientists at A*STAR’s Institute of Medical Biology (IMB) and the Bioinformatics Institute (BII) have found new clues to early detection and personalised treatment of ovarian cancer, currently one of the most difficult cancers to diagnose early due to the lack of symptoms that are unique to the illness.
There are three predominant cancers that affect women – breast, ovarian and womb cancer. Of the three, ovarian cancer is of the greatest concern as it is usually diagnosed only at an advanced stage due to the absence of clear early warning symptoms. Successful treatment is difficult at this late stage, resulting in high mortality rates. Ovarian cancer has increased in prevalence in Singapore as well as other developed countries recently. It is now the fifth most common cancer in Singapore amongst women, with about 280 cases diagnosed annually and 90 deaths per year.
IMB scientists have successfully identified a biomarker of ovarian stem cells, which may allow for earlier detection of ovarian cancer and thus allow treatment at an early stage of the illness.
The team has identified a molecule, known as Lgr5, on a subset of cells in the ovarian surface epithelium. Lgr5 has been previously used to identify stem cells in other tissues including the intestine and stomach, but this is the first time that scientists have successfully located this important biomarker in the ovary. In doing so, they have unearthed a new population of epithelial stem cells in the ovary which produce Lgr5 and control the development of the ovary. Using Lgr5 as a biomarker of ovarian stem cells, ovarian cancer can potentially be detected earlier, allowing for more effective treatment at an early stage of the illness (see Annex A).
Of the different types of ovarian cancers detected, high-grade serous ovarian carcinoma (HG-SOC) is the most prevalent of epithelial ovarian cancers. It has also proven to be one of the most lethal ovarian cancers, with only 30 per cent of such patients surviving more than five years after diagnosis. HG-SOC remains poorly understood, with a lack of biomarkers identified for clinical use, from diagnosis to prognosis of patient survival rates.
By applying bioinformatics analysis on big cancer genomics data, BII scientists were able to identify genes whose mutation status could be used for prognosis and development of personalized treatment for HG-SOC.
The gene, Checkpoint Kinase 2 (CHEK2), has been identified as an effective prognostic marker of patient survival. HG-SOC patients with mutations in this gene succumbed to the disease within five years of diagnosis, possibly because CHEK2 mutations were associated with poor response to existing cancer therapies.
Mortality after diagnosis currently remains high, as patients receive similar treatment options of chemotherapy and radiotherapy despite the diverse nature of tumour cells within tumours and across different tumour samples. With these findings, personalised medicine for ovarian cancer could be developed, with targeted treatment that would be optimised for subgroups of patients. A*Star
Cell signalling pathway linked to obesity, Type 2 diabetes
, /in E-News /by 3wmediaA Purdue University study shows that Notch signalling, a key biological pathway tied to development and cell communication, also plays an important role in the onset of obesity and Type 2 diabetes, a discovery that offers new targets for treatment.
A research team led by Shihuan Kuang, associate professor of animal sciences, found that blocking Notch signalling in the fat tissue of mice caused white fat cells to transform into a ‘leaner’ type of fat known as beige fat. The finding suggests that suppressing Notch signalling in fat cells could reduce the risk of obesity and related health problems, Kuang said.
‘This finding opens up a whole new avenue to understanding how fat is controlled at the molecular level,’ he said. ‘Now that we know Notch signalling and obesity are linked in this way, we can work on developing new therapeutics.’
The human body houses three kinds of fat: white, brown and beige. White fat tissue stores fatty acids and is the main culprit in weight gain. Brown fat, which helps keep hibernating animals and infants warm, burns fatty acids to produce heat. Humans lose most of their brown fat as they mature, but they retain a similar kind of fat – beige fat, which also generates heat by breaking down fatty acids.
Buried in white fat tissue, beige fat cells are unique in that they can become white fat cells depending on the body’s metabolic needs. White fat cells can also transform into beige fat cells in a process known as browning, which raises the body’s metabolism and cuts down on obesity.
Kuang and his team found that the Notch signalling pathway inhibits browning of white fat by regulating expression of genes that are related to beige fat tissue.
‘The Notch pathway functions like a commander, telling the cell to make white fat,’ he said.
Suppressing key genes in the Notch pathway in the fat tissue of mice caused them to burn more energy than wild-type mice, reducing their fat mass and raising their metabolism. The transgenic mice stayed leaner than their wild-type littermates even though their daily energy intake was similar, Kuang said. They also had a higher sensitivity to insulin, a lower blood glucose level and were more resistant to weight gain when fed a high-fat diet.
Pengpeng Bi, a doctoral candidate in animal sciences and first author of the study, said that the transgenic mice’s body fat appeared browner upon dissection than the fat in wild-type mice, suggesting that blocking the Notch pathway had increased the number of their beige fat cells.
‘Otherwise they looked normal,’ he said. ‘We did not notice anything exceptional about them until we looked at the fat.’ Purdue University
Researchers identify four subtypes of stomach cancer
, /in E-News /by 3wmediaStomach cancers fall into four distinct molecular subtypes researchers with The Cancer Genome Atlas (TCGA) Network have found. In the study, the scientists report that this discovery could change how researchers think about developing treatments for stomach cancer, also called gastric cancers or gastric adenocarcinomas.
Instead of considering gastric cancer as a single disease, as has been done in the past, researchers will now be able to explore therapies in defined sets of patients whose tumours have specific genomic abnormalities. Stomach cancers are a leading cause of cancer-related mortality worldwide, resulting in an estimated 723,000 deaths annually.
Previous attempts to examine the clinical characteristics of gastric cancer were hindered by how differently cancer cells can look under a microscope, even when from the same tumour. The researchers hope that the new classification system will serve as a valuable adjunct to the current pathology classification system, which has two categories: diffuse and intestinal.
“A key advance with this project is that we have identified and developed a much more useful classification system to find groups of gastric cancer that have distinct molecular features, and at the same time, we also identified key targets to pursue in different groups of patients,” said Adam Bass, M.D., Harvard Medical School, Dana-Farber Cancer Institute, the Broad Institute, Boston, and one of the lead investigators on the project. “This will provide a strong foundation for categorizing the disease and for doing so in a way in which we can develop clinical trials based on some of the critical molecular alterations that are driving different classes of cancers.”
The researchers identified the new subgroups through complex statistical analyses of molecular data from 295 tumours. They used six molecular analysis platforms including DNA sequencing, RNA sequencing, and protein arrays.
Tumours in the first group, which represented 9 percent of the tumours, were positive for Epstein-Barr virus (EBV) and had several other molecular commonalities. Tumours in a second subgroup (22 percent of the tumours) had high microsatellite instability (MSI), which is the tendency for mutations to accumulate in repeated sequences of DNA. The remaining subgroups differed in the level of somatic copy number alterations (SCNAs), which can result from duplication or deletion of sections of the genome. The tumours in the third subgroup, which comprised 20 percent of the tumours, were considered to have a low level of SCNAs and were called genomically stable. The remaining 50 percent of tumours were classified as chromosomally unstable, with a high level of SCNAs.
The EBV-positive subgroup of tumours was of particular interest. EBV is best known in the United States as the cause of infectious mononucleosis, which is characterized by fever, sore throat, and swollen lymph glands, especially in the neck. EBV is also suspected of causing certain cancers, including nasopharyngeal carcinoma and some types of lymphoma. Previous research had shown that EBV can be detected in a minority of gastric adenocarcinomas and that EBV genes are expressed in those tumours. However, this study found that the presence of EBV in gastric tumours is associated with a number of other molecular characteristics.
First, the researchers observed that EBV-positive tumours displayed a high frequency of mutations in the PIK3CA gene, which codes for a component of a protein, PI3-kinase, which is essential for cell growth and division and many other cellular activities that are important in cancer. Although 80 percent of EBV-positive tumours harboured a protein-changing alteration in PIK3CA, PIK3CA mutations were found in 3 percent to 42 percent of tumours of the other gastric cancer subtypes. The scientists suggested that EBV-positive tumours might respond to PI3-kinase inhibitors, some of which are in the early stages of testing in clinical trials but are not yet approved by the U.S. Food and Drug Administration for general use.
Some tumours in the EBV-positive subgroup also showed more gene copies being produced in a chromosomal region that contains the JAK2 gene. The JAK2 protein facilitates cell growth and division, and the increased expression of JAK2 may inappropriately activate cell growth. The amplified region also contains the genes for two proteins, PD-L1 and PD-L2, which suppress immune responses; their increased expression may help tumours escape destruction by the immune system. The investigators suggested that these findings support the evaluation of JAK2 inhibitors and PD-L1/2 antagonists for the treatment of EBV-positive gastric cancers.
And the EBV-positive subgroup showed a far higher prevalence of DNA hypermethylation than any other cancer subtype reported by TCGA researchers. Methylation is the process of adding methyl groups to DNA, which reduces gene expression. Hypermethylation occurs when this mechanism continues aberrantly, quieting genes that should be active. In the EBV-positive tumour subgroup, hypermethylation was most often observed in the promoter regions of genes, which would prevent the expression of the genes.
‘Gaining these insights into the connection between EBV and gastric cancer is the type of groundbreaking research that NIH is pleased to be a part of. We look forward to the potential clinical implications of this discovery,’ said NIH Director Francis S. Collins, M.D., Ph.D. The Cancer Genome Atlas
Work could lead to earlier diagnosis, treatment of mental diseases
, /in E-News /by 3wmediaA computer science and engineering associate professor and her doctoral student graduate are using a genetic computer network inference model that eventually could predict whether a person will suffer from bipolar disorder, schizophrenia or another mental illness.
The findings are detailed in the paper “Inference of SNP-Gene Regulatory Networks by Integrating Gene Expressions and Genetic Perturbations,” which was recently published. The principal investigators were Jean Gao, an associate professor of computer science and engineering, and Dong-Chul Kim, who recently earned his doctorate in computer science and engineering from UT Arlington.
“We looked for the differences between our genetic computer network and the brain patterns of 130 patients from the University of Illinois,” Gao said. “This work could lead to earlier diagnosis in the future and treatment for those patients suffering from bipolar disorder or schizophrenia. Early diagnosis allows doctors to provide timely treatments that may speed up aid to help affected patients.”
The UT Arlington researchers teamed with Jiao Wang of the Beijing Genomics Institute at Wuhan, China; and Chunyu Liu, visiting associate professor at the University of Illinois Department of Psychiatry, on the project.
Gao said the findings also could lead to more individualized drug therapies for those patients in the early stages of mental illnesses.
“Our work will allow doctors to analyse a patient’s genetic pattern and apply the appropriate levels of personalized therapy based on patient-specific data,” Gao said.
One key to the research is designing single nucleotide polymorphism or SNP networks, researchers said.
“SNPs are regulators of genes,” said Kim, who joins the University of Texas-Pan American this fall as an assistant professor. “Those SNPs visualize how individual genes will act. It gives us more of a complete picture.” UT Arlington