Tumor Mutational Burden as a Predictive Biomarker in Solid Tumors
Mayo Clinic · Mayo Clinic in Florida · +5 more institutions
Abstract
Tumor mutational burden (TMB), defined as the number of somatic mutations per megabase of interrogated genomic sequence, varies across malignancies. Panel sequencing-based estimates of TMB have largely replaced whole-exome sequencing-derived TMB in the clinic. Retrospective evidence suggests that TMB can predict the efficacy of immune checkpoint inhibitors, and data from KEYNOTE-158 led to the recent FDA approval of pembrolizumab for the TMB-high tumor subgroup. Unmet needs include prospective validation of TMB cutoffs in relationship to tumor type and patient outcomes. Furthermore, standardization and harmonization of TMB measurement across test platforms are important to the successful implementation of TMB…
Citation impact
- FWCI
- 36.30
- Percentile
- 100%
- References
- 145
Authors
6- DSDan ShaCorresponding
Mayo Clinic, Mayo Clinic in Florida
- ZJZhaohui Jin
Mayo Clinic, Mayo Clinic in Arizona, Mayo Clinic in Florida
- JBJan Budczies
German Cancer Research Center, Heidelberg University, University Hospital Heidelberg
- KKKlaus Kluck
German Cancer Research Center, Heidelberg University, University Hospital Heidelberg
- ASAlbrecht Stenzinger
German Cancer Research Center, Heidelberg University, University Hospital Heidelberg
Topics & keywords
- Pembrolizumab
- Medicine
- Biomarker
- Oncology
- Exome
- Exome sequencing
- Computational biology
- Standardization
- Good health and well-being