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personalized medicine

The researchers identified molecular subtypes of head and neck cancer that could be susceptible to CDK inhibitor, anti-EGFR antibody, or immunotherapy treatments.

Early data around an initial composite assay showed it can predict immunooncology drug responses more accurately than tumor mutational burden.

Through this partnership, the companies hope to help oncologists make better testing and treatment decisions, as well as improve clinical trial matching.

The partners are starting by testing patients with colorectal and thyroid cancers using the 648-gene Tempus xT assay, but could expand to other areas in the future.

The company hopes the data will help convince clinicians to adopt the algorithm in CRC as it pushes forward validations for other areas like pancreatic and ovarian tumors.

A study presented at the NSGC annual meeting found that tumor analysis and germline testing yielded discordant results in almost a quarter of cases.

As adoption of personalized medicines has accelerated over the last four years, so has the number of marketed genetic and exome tests.

The partners will apply whole-exome and whole-transcriptome analysis to evaluate two existing drugs for squamous cell carcinoma treatment.

The aggressive subtype, uncovered by a team of researchers in Germany, may also be susceptible to targeted therapy that blocks interferon signaling.

In two studies at ESMO, researchers demonstrated the ability of combined biomarker approaches to predict the efficacy of immune checkpoint inhibitors.

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