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Predicting Treatment Response Based on RNA Expression in Large Datasets

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PD-L1 expression levels derived from >16,000 samples guided the selection of tumor types likely to benefit from pembrolizuamb monotherapy in clinical trials. Although not fail-proof, FDA approvals for most of… Click to show full abstract

PD-L1 expression levels derived from >16,000 samples guided the selection of tumor types likely to benefit from pembrolizuamb monotherapy in clinical trials. Although not fail-proof, FDA approvals for most of the prioritized indications speak to the power of RNA expression profiling and the value of large genomic datasets. See related article by Ayers et al., p. 1564

Keywords: based rna; treatment response; predicting treatment; expression; response based; rna expression

Journal Title: Clinical Cancer Research
Year Published: 2018

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