Members of the ProfiLER trial identified actionable mutations in more than half of individuals with advanced cancers, though only a fraction received targeted therapy.
Researchers are developing new algorithms and using machine-learning techniques that can integrate vast amounts of cancer omics data to identify potential therapies.
Shared gastric adenocarcinoma tumor features seem to span geography and ethnicity, despite shifts in the proportion of tumors from different molecular subtypes.
A multi-region analysis of medulloblastoma and other tumor types highlighted the dramatic somatic alteration differences that can crop up within a single tumor.
Protein patterns in patient-derived xenografts sometimes pointed to different alterations than those predicted from somatic mutation and expression data.
In PNAS this week: transcriptional patterns in breast cancer cell lines, study of non-CG methylation, and more.
Researchers used the approach, which analyzes somatic copy number alterations, to identify a targetable pathway, which they then blocked effectively using currently available drugs.
The results of the Harvard-led study suggest that the immune system struggles to infiltrate and attack tumors with more aneuploidy.
The method allows analysis of copy number at the individual cell level with greater coverage uniformity and more reliable detection than other approaches.
The study also found that esophageal squamous cell carcinomas resemble head and neck cancer, while esophageal adenocarcinomas are similar to gastric cancers.
Rady Children's Institute for Genomic Medicine and Deloitte are looking into the use of drones to transport samples for testing.
Direct-to-consumer genetic testing firm 23andMe is laying off about 100 people.
Researchers from Northwestern University examined dust for antibiotic-resistance genes, New Scientist reports.
In Science this week: researchers present a computational method for predicting cellular differentiation state from single-cell RNA sequencing data, and more.