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New tool predicts which treatments may work best in cancer patients

A new precision oncology software tool, called SELECT, analyzes tumor transcriptomics data to predict which therapies are most beneficial for an individual patient. When applied to data from over 30 different clinical trials, SELECT was predictive of patient responses to targeted and immune therapies in about 80 percent of the trial datasets.

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Anish Thomas featured in The Cancer Letter for SCLC study

In a conversation with The Cancer LetterAnish Thomas, M.B.B.S., M.D., NIH Lasker Clinical Research Scholar and Investigator in the Developmental Therapeutics Branch, discussed his study, published in Science Translational Medicine, that found some patients with small cell lung cancer may have actionable germline mutations, which may be used to inform personalized screening and targeted therapies. The study challenges the notion that small cell lung cancer is exclusively tied to smoking.

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