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Abstract
KRAS- and BRAF-mutant tumors are often dependent on MAPK signaling for proliferation and survival and thus sensitive to MAPK pathway inhibitors. However, clinical studies have shown that MEK inhibitors are not uniformly effective in these cancers indicating that mutational status of these oncogenes does not accurately capture MAPK pathway activity. A number of transcripts are regulated by this pathway and are recurrently identified in genome-based MAPK transcriptional signatures. To test whether the transcriptional output of only 10 of these targets could quantify MAPK pathway activity with potential predictive or prognostic clinical utility, we created a MAPK Pathway Activity Score (MPAS) derived from aggregated gene expression. In vitro, MPAS predicted sensitivity to MAPK inhibitors in multiple cell lines, comparable to or better than larger genome-based statistical models. Bridging in vitro studies and clinical samples, median MPAS from a given tumor type correlated with cobimetinib (MEK inhibitor) sensitivity of cancer cell lines originating from the same tissue type. Retrospective analyses of clinical datasets showed that MPAS was associated with the sensitivity of melanomas to vemurafenib (HR: 0.596) and negatively prognostic of overall or progression-free survival in both adjuvant and metastatic CRC (HR: 1.5 and 1.4), adrenal cancer (HR: 1.7), and HER2+ breast cancer (HR: 1.6). MPAS thus demonstrates potential clinical utility that warrants further exploration.
Biomarker: Gene signature predicts drug responses and patient outcomes
A clinical score based on the activity of genes that regulate cell signaling can predict drug sensitivity and patient outcomes across a range of cancer types. Marie-Claire Wagle, Daniel Kirouac and their colleagues at Genentech in South San Francisco, California, USA developed an index that aggregates expression levels of 10 genes involved in modulating the mitogen-activated protein kinase (MAPK) pathway. This “MAPK Pathway Activity Score”, or MPAS, performed as well or better than other more complicated, genome-based tools at predicting whether drugs that inhibit MAPK-related enzymes were active against tumor cell lines. Retrospective analyses of clinical datasets also showed that MPAS correlated with survival outcomes in patients with melanoma, colon cancer, and breast cancer. The authors suggest that MPAS should be evaluated more broadly and perhaps implemented as a clinically informative biomarker.
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Details

1 Genentech, Department of Oncology Biomarker Development, South San Francisco, USA (GRID:grid.418158.1) (ISNI:0000 0004 0534 4718)
2 Genentech, Department of Pre-Clinical and Translational PKPD, South San Francisco, USA (GRID:grid.418158.1) (ISNI:0000 0004 0534 4718)
3 Genentech, Department of Bioinformatics, South San Francisco, USA (GRID:grid.418158.1) (ISNI:0000 0004 0534 4718)
4 Genentech, Department of Translational Oncology, South San Francisco, USA (GRID:grid.418158.1) (ISNI:0000 0004 0534 4718)
5 Genentech, Department of Biochemical and Cellular pharmacology, South San Francisco, USA (GRID:grid.418158.1) (ISNI:0000 0004 0534 4718)
6 Genentech, Department of Biostatistics, South San Francisco, USA (GRID:grid.418158.1) (ISNI:0000 0004 0534 4718)
7 Genentech, Department of Oncology Biomarker Development, South San Francisco, USA (GRID:grid.418158.1) (ISNI:0000 0004 0534 4718); Bristol-Myers Squibb, Lawrence Township, USA (GRID:grid.419971.3)