Using point mutation and structural variant patterns in 133 ovarian cancer cases, researchers identified seven clusters to classify the disease and predict patient outcomes.
Shared gastric adenocarcinoma tumor features seem to span geography and ethnicity, despite shifts in the proportion of tumors from different molecular subtypes.
The new algorithm, called TOPSPIN, complements the company's MMprofiler test. It is considering making TOPSPIN-generated data available to its MMprofiler patients.
The new data supports the continued marketing of BioNTech's breast cancer subtyping assay as an alternative to IHC, and suggests added value for the test in assessing Ki-67 specifically.
The activity follows a recent financing round that has enabled OncoDNA to build out its sales team as it courts new clients.
Chemotherapy response appears to be more robust in triple-negative breast tumors with mutations decreasing BRCA1 or BRCA2 expression.
In lower-grade glioma tumors lacking three known biomarkers, investigators identified TP53 and H3.3 histone mutations that appear to be linked to poor outcomes.
By analyzing the transcriptomes of more than 4,000 individual cells, researchers identified stem cell-like cellular subpopulations in six oligodendroglioma tumors.
Data for hundreds of breast tumors suggested specific signatures were more closely linked to tumor-infiltrating lymphocyte activity than was mutational load.
The team has received around $900,000 in National Cancer Institute funding to develop new capabilities for CIVIC, improve curation, and engage with the community.
The Centers for Disease Control and Prevention estimates more people get sick and die from drug-resistant germs than previously thought, the Washington Post reports.
According to the Associated Press, three universities and a healthcare institution are sharing a gift of $1 billion.
New rules seek to limit the type of scientific and medical research that can be used to guide public health regulations, the New York Times reports.
In Nature this week: FreeHi-C approach simulates Hi-C data from interacting genome fragments, and more.