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News and reporting on lung cancer.
In PNAS this week: researchers compare two high-grade neuroendocrine lung cancers, height among ancient Europeans, and more.
The company has collected initial evidence for an algorithmic method to predict immunotherapy response, and is studying its technology in treatment monitoring.
By participating in the project, the company, located in Tokyo, hopes to improve its cloud-based data management services while winning over new customers.
Researchers from the TRACERx consortium analyzed blood and tumor samples to tease out features of lung cancers that are more likely to recur.
The team identified six independent DNA methylation blocks that could potentially help to predict the formation of central nervous system metastases in lung cancer.
An IASLC survey showed that molecular testing is not performed in line with expert guidelines, which means only a minority of lung cancer patients are benefitting from precision oncology.
In Science journals this week: a functional genomic screen uncovers drug combination that increases KRAS inhibitor efficacy in aggressive lung cancer, and more.
The company's commercial testing continues to focus on patients with identified lung nodules, but the new data is the strongest yet to support a shift to upfront cancer detection.
Machine learning and DNA methylation analyses helped distinguish between primary lung tumors and lung tumors stemming from head and neck cancer metastasis.
As labs implement TMB workflows in-house, studies are showing that its is possible to validate assays with cutoff points remaining stable across complex clinical cohorts and in different drug contexts.
Retraction Watch writes that a cancer researcher has had an eighth paper retracted.
Computational biologist James Taylor has died, according to Johns Hopkins University.
The Centers for Disease Control and Prevention is starting to test people for SARS-CoV-2 antibodies, according to the New York Times.
In PLOS this week: features of tumor-infiltrating immune cells, regulatory effects of SNPs associated with prostate cancer risk, and more.