An analysis of lung adenocarcinoma brain metastases uncovered more frequent amplifications or deletions in a handful of genomic regions, pointing to potential drivers.
Tumor genomes from almost 2,400 patients with metastatic cancer revealed a range of somatic alterations, providing a foundation for clinical sequencing efforts.
The team identified six independent DNA methylation blocks that could potentially help to predict the formation of central nervous system metastases in lung cancer.
Machine learning and DNA methylation analyses helped distinguish between primary lung tumors and lung tumors stemming from head and neck cancer metastasis.
Researchers found that 14 percent of individuals with metastatic breast cancer had risky mutations germline mutations, including patients who did not meet testing criteria.
At the WIN Symposium, a researcher from Sheba Medical Center discussed ongoing efforts to develop a 22-gene signature for predicting brain metastasis in NSCLC.
A new analysis indicates that colorectal cancer metastases arise from a small number of cells before the primary tumor is large enough to be detected clinically.
With exome sequences from more than 600 metastatic breast tumors, researchers identified genomic alterations related to tumor progression, treatment response, and patient outcomes.
Using exome or transcriptome data from more than 400 metastatic, castration-resistant prostate cancer cases, researchers identified survival-related alterations in the RB1 gene.
Direct-to-consumer genetic testing companies are searching for a genetic reason for why some people, but not others, become gravely ill with COVID-19, the Detroit Free Press reports.
In PNAS this week: forward genetics-base analysis of retinal development, interactions of T cell receptors with neoantigens in colorectal cancer, and more.
