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.
A CTC and ctDNA analysis suggests that the number of alterations affecting the androgen receptor can offer survival insights for TP53 mutation-free advanced cancer cases.
The researchers are developing a web-based tool to help physicians predict their patients' relapse risk and are planning clinical trials to study outcomes.
A multi-omic analysis implicated a handful of transcription factors, along with genes and regulatory RNAs down- and upstream of them, in metastatic colorectal cancer.
Russian CRISPR researcher moves along with plans to ultimately alter the genes of embryos of deaf couples, though awaits regulatory approval, Nature News reports.
In PLOS this week: genome-wide association study of non-syndromic orofacial cleft subtypes, epigenetic and transcriptomic analysis of pancreatic ductal adenocarcinoma, and more.
