Literature DB >> 33199494

Tumor Mutational Burden as a Predictor of Immunotherapy Response: Is More Always Better?

John H Strickler1, Brent A Hanks1,2,3, Mustafa Khasraw4,2.   

Abstract

Immune checkpoint inhibitors, including antibodies that block programmed cell death protein-1 (PD-1) and PD-L1, have transformed the management of many cancers. However, the majority of patients have primary or acquired resistance to these immunotherapies. There is a significant unmet need for predictive biomarkers that can reliably identify patients who derive a clinically meaningful response from PD-1/PD-L1 blockade. High tumor mutational burden (TMB-H) has shown promise as a biomarker in lung cancer, but the broad applicability of TMB-H as a biomarker of response across all solid tumors is unclear. The FDA has approved the PD-1 inhibitor, pembrolizumab, as a therapy for all solid tumors with TMB equal to or greater than 10 mutations/megabase as measured by the FoundationOne CDx assay. This approval was based on an exploratory analysis of the KEYNOTE-158 study, which was a single-arm, phase II multi-cohort study of pembrolizumab for select, previously treated advanced solid tumors. Here, we elucidate the caveats of using TMB as a biomarker with a universal threshold across all solid tumors. While we recognize the importance of this and other FDA pan-cancer approvals, several questions about TMB as a predictive biomarker remain unanswered. In this perspective, we discuss clinical trial evidence in this area. We review the relationship between TMB and the tumor immune microenvironment. We highlight the risks of extrapolating evidence from a limited number of tumor histologies to all solid tumors, and we propose avenues for future research. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 33199494     DOI: 10.1158/1078-0432.CCR-20-3054

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   13.801


  61 in total

1.  High tumor mutation burden fails to predict immune checkpoint blockade response across all cancer types.

Authors:  D J McGrail; P G Pilié; N U Rashid; L Voorwerk; M Slagter; M Kok; E Jonasch; M Khasraw; A B Heimberger; B Lim; N T Ueno; J K Litton; R Ferrarotto; J T Chang; S L Moulder; S-Y Lin
Journal:  Ann Oncol       Date:  2021-03-15       Impact factor: 32.976

2.  Melanoma: An immunotherapy journey from bench to bedside.

Authors:  Vishal Navani; Moira C Graves; Hiren Mandaliya; Martin Hong; Andre van der Westhuizen; Jennifer Martin; Nikola A Bowden
Journal:  Cancer Treat Res       Date:  2022

3.  Mechanistic Translation of Melanoma Genetic Landscape in Enriched Pathways and Oncogenic Protein-Protein Interactions.

Authors:  Michele Massimino; Stefania Stella; Giovanni Micale; Lucia Motta; Giuliana Pavone; Giuseppe Broggi; Eliana Piombino; Gaetano Magro; Hector Jose Soto Parra; Livia Manzella; Paolo Vigneri
Journal:  Cancer Genomics Proteomics       Date:  2022 May-Jun       Impact factor: 4.069

Review 4.  What Is the Status of Immunotherapy in Neuroendocrine Neoplasms?

Authors:  Alejandro Garcia-Alvarez; Jorge Hernando Cubero; Jaume Capdevila
Journal:  Curr Oncol Rep       Date:  2022-02-16       Impact factor: 5.075

Review 5.  Long-Term Outcomes of Immune Checkpoint Inhibition in Metastatic Melanoma.

Authors:  Francesca Aroldi; Mark R Middleton
Journal:  Am J Clin Dermatol       Date:  2022-03-31       Impact factor: 7.403

6.  Pan-Cancer HLA Gene-Mediated Tumor Immunogenicity and Immune Evasion.

Authors:  Xutong Gong; Rachel Karchin
Journal:  Mol Cancer Res       Date:  2022-08-05       Impact factor: 6.333

7.  Hypermutation, Mismatch Repair Deficiency, and Defining Predictors of Response to Checkpoint Blockade.

Authors:  Laura S Graham; Colin C Pritchard; Michael T Schweizer
Journal:  Clin Cancer Res       Date:  2021-09-27       Impact factor: 13.801

Review 8.  POLE, POLD1, and NTHL1: the last but not the least hereditary cancer-predisposing genes.

Authors:  Luigi Magrin; Daniele Fanale; Chiara Brando; Antonio Russo; Viviana Bazan; Alessia Fiorino; Lidia Rita Corsini; Roberta Sciacchitano; Clarissa Filorizzo; Alessandra Dimino
Journal:  Oncogene       Date:  2021-08-06       Impact factor: 9.867

Review 9.  Systematic review of combinations of targeted or immunotherapy in advanced solid tumors.

Authors:  Aaron C Tan; Stephen J Bagley; Patrick Y Wen; Michael Lim; Michael Platten; Howard Colman; David M Ashley; Wolfgang Wick; Susan M Chang; Evanthia Galanis; Alireza Mansouri; Simon Khagi; Minesh P Mehta; Amy B Heimberger; Vinay K Puduvalli; David A Reardon; Solmaz Sahebjam; John Simes; Scott J Antonia; Don Berry; Mustafa Khasraw
Journal:  J Immunother Cancer       Date:  2021-07       Impact factor: 13.751

10.  A Signature-Based Classification of Gastric Cancer That Stratifies Tumor Immunity and Predicts Responses to PD-1 Inhibitors.

Authors:  Song Li; Jing Gao; Qian Xu; Xue Zhang; Miao Huang; Xin Dai; Kai Huang; Lian Liu
Journal:  Front Immunol       Date:  2021-06-11       Impact factor: 7.561

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