Tumor Mutational Burden as an Independent Predictor of Response to Immunotherapy in Diverse Cancers
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Robert, 2015, Nivolumab in previously untreated melanoma without BRAF mutation, N Engl J Med, 372, 320, 10.1056/NEJMoa1412082
Borghaei, 2015, Nivolumab versus docetaxel in advanced nonsquamous non–small-cell lung cancer, N Engl J Med, 373, 1627, 10.1056/NEJMoa1507643
Garon, 2015, Pembrolizumab for the treatment of non-small-cell lung cancer, N Engl J Med, 372, 2018, 10.1056/NEJMoa1501824
Motzer, 2015, Nivolumab versus everolimus in advanced renal-cell carcinoma, N Engl J Med, 373, 1803, 10.1056/NEJMoa1510665
Hodi, 2010, Improved survival with ipilimumab in patients with metastatic melanoma, N Engl J Med, 363, 711, 10.1056/NEJMoa1003466
Atkins, 2000, High-dose recombinant interleukin-2 therapy in patients with metastatic melanoma: long-term survival update, Cancer J Sci Am, 6, S11
Fisher, 2000, Long-term survival update for high-dose recombinant interleukin-2 in patients with renal cell carcinoma, Cancer J Sci Am, 6, S55
Ansell, 2015, PD-1 blockade with nivolumab in relapsed or refractory Hodgkin's lymphoma, N Engl J Med, 372, 311, 10.1056/NEJMoa1411087
Goodman, 2017, PD-1-PD-L1 immune-checkpoint blockade in B-cell lymphomas, Nat Rev Clin Oncol, 14, 203, 10.1038/nrclinonc.2016.168
Weber, 2015, Nivolumab versus chemotherapy in patients with advanced melanoma who progressed after anti-CTLA-4 treatment (CheckMate 037): a randomised, controlled, open-label, phase 3 trial, Lancet Oncol, 16, 375, 10.1016/S1470-2045(15)70076-8
Topalian, 2016, Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy, Nat Rev Cancer, 16, 275, 10.1038/nrc.2016.36
Patel, 2015, PD-L1 expression as a predictive biomarker in cancer immunotherapy, Mol Cancer Ther, 14, 847, 10.1158/1535-7163.MCT-14-0983
Grigg, 2016, PD-L1 biomarker testing for non-small cell lung cancer: truth or fiction?, J Immunother Cancer, 4, 48, 10.1186/s40425-016-0153-x
Santarpia, 2015, Tumor immune microenvironment characterization and response to anti-PD-1 therapy, Cancer Biol Med, 12, 74
Gubin, 2015, Tumor neoantigens: building a framework for personalized cancer immunotherapy, J Clin Invest, 125, 3413, 10.1172/JCI80008
Chen, 2013, Molecular mechanisms of T cell co-stimulation and co-inhibition, Nat Rev Immunol, 13, 227, 10.1038/nri3405
Alexandrov, 2013, Signatures of mutational processes in human cancer, Nature, 500, 415, 10.1038/nature12477
Rizvi, 2015, Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer, Science, 348, 124, 10.1126/science.aaa1348
Johnson, 2016, Targeted next generation sequencing identifies markers of response to PD-1 blockade, Cancer Immunol Res, 4, 959, 10.1158/2326-6066.CIR-16-0143
Frampton, 2013, Development and validation of a clinical cancer genomic profiling test based on massively parallel DNA sequencing, Nat Biotechnol, 31, 1023, 10.1038/nbt.2696
Chalmers, 2016, Analysis of tumor mutation burden (TMB) in >51,000 clinical cancer patients to identify novel non-coding PMS2 promoter mutations associated with increased TMB, J Clin Oncol, 34, 10.1200/JCO.2016.34.15_suppl.9572
Frampton, 2016, Assessment of tumor mutation burden from >60,000 clinical cancer patients using comprehensive genomic profiling, J Clin Oncol, 34, 11558, 10.1200/JCO.2016.34.15_suppl.11558
Ross, 2016, Biomarkers of immune checkpoint inhibitor response in metastatic breast cancer: PD-L1 protein expression, CD274 gene amplification, and total mutational burden, J Clin Oncol, 34, 3057, 10.1200/JCO.2016.34.15_suppl.3057
Santin, 2016, Immunotherapy (IO) versus targeted therapy triage in endometrial adenocarcinoma (EA) by concurrent assessment of tumor mutation burden (TMB), microsatellite instability (MSI) status, and targetable genomic alterations (GA), J Clin Oncol, 34, 10.1200/JCO.2016.34.15_suppl.5591
George, 2016, Tumor mutational burden as a potential biomarker for PD1/PD-L1 therapy in colorectal cancer, ASCO Meet Abstr, 34
Campesato, 2015, Comprehensive cancer-gene panels can be used to estimate mutational load and predict clinical benefit to PD-1 blockade in clinical practice, Oncotarget, 6, 34221, 10.18632/oncotarget.5950
Kowanetz, 2016, Tumor mutation load assessed by FoundationOne (FM1) is associated with improved efficacy of atezolizumab (atezo) in patients with advanced NSCLC, Ann Oncol, 27, 77P, 10.1093/annonc/mdw363.25
Rosenberg, 2016, Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial, Lancet Lond Engl, e387, 1909, 10.1016/S0140-6736(16)00561-4
Rosenberg, 2016, PD-L1 expression, Cancer Genome Atlas (TCGA) subtype, and mutational load as independent predictors of response to atezolizumab (atezo) in metastatic urothelial carcinoma (mUC; IMvigor210), J Clin Oncol, 34, 10.1200/JCO.2016.34.15_suppl.104
Le, 2015, PD-1 blockade in tumors with mismatch-repair deficiency, N Engl J Med, 372, 2509, 10.1056/NEJMoa1500596
Hugo, 2017, Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic melanoma, Cell, 168, 542, 10.1016/j.cell.2017.01.010
Snyder, 2014, Genetic basis for clinical response to CTLA-4 blockade in melanoma, N Engl J Med, 371, 2189, 10.1056/NEJMoa1406498
Allen, 2015, Genomic correlates of response to CTLA-4 blockade in metastatic melanoma, Science, 350, 207, 10.1126/science.aad0095
Chalmers, 2017, Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden, Genome Med, 9, 34, 10.1186/s13073-017-0424-2
Wheler, 2014, Unique molecular landscapes in cancer: implications for individualized, curated drug combinations, Cancer Res, 74, 7181, 10.1158/0008-5472.CAN-14-2329
Schwaederle, 2015, On the road to precision cancer medicine: analysis of genomic biomarker actionability in 439 patients, Mol Cancer Ther, 14, 1488, 10.1158/1535-7163.MCT-14-1061
Schwaederle, 2016, Precision oncology: the UC San Diego Moores Cancer Center PREDICT experience, Mol Cancer Ther, 15, 743, 10.1158/1535-7163.MCT-15-0795
Hall, 2016, Evaluation of microsatellite instability (MSI) status in 11,573 diverse solid tumors using comprehensive genomic profiling (CGP), J Clin Oncol, 34
Khagi, 2017, Next generation predictive biomarkers for immune checkpoint inhibition, Cancer Metastasis Rev, 36, 179, 10.1007/s10555-016-9652-y
Ikeda, 2016, Metastatic basal cell carcinoma with amplification of PD-L1: exceptional response to Anti-PD1 therapy, Genomic Med, 10.1038/npjgenmed.2016.37
Dean, 2016, Clinical outcomes of patients with rare and heavily pretreated solid tumors treated according to the results of tumor molecular profiling, BioMed Res Int, 2016, e4627214, 10.1155/2016/4627214
Ikeda, 2016, Metastatic basal cell carcinoma with amplification of PD-L1: exceptional response to anti-PD1 therapy, Npj Genomic Med, 1, 16037, 10.1038/npjgenmed.2016.37
Goh, 2015, Mutational landscape of MCPyV-positive and MCPyV-negative Merkel cell carcinomas with implications for immunotherapy, Oncotarget, 7, 3403, 10.18632/oncotarget.6494
Harms, 2015, The distinctive mutational spectra of polyomavirus-negative merkel cell carcinoma, Cancer Res, 75, 3720, 10.1158/0008-5472.CAN-15-0702
Cohen, 2016, Genomic portfolio of Merkel cell carcinoma as determined by comprehensive genomic profiling: implications for targeted therapeutics, Oncotarget, 7, 23454, 10.18632/oncotarget.8032
Nghiem, 2016, PD-1 blockade with pembrolizumab in advanced merkel-cell carcinoma, N Engl J Med, 374, 2542, 10.1056/NEJMoa1603702
Boichard, 2017, High expression of PD-1 ligands is associated with kataegis mutational signature and APOBEC3 alterations, OncoImmunology, 0, e1284719, 10.1080/2162402X.2017.1284719
Swanton, 2015, APOBEC enzymes: mutagenic fuel for cancer evolution and heterogeneity, Cancer Discov, 5, 704, 10.1158/2159-8290.CD-15-0344
Wolchok, 2013, Nivolumab plus ipilimumab in advanced melanoma, N Engl J Med, 369, 122, 10.1056/NEJMoa1302369