Literature DB >> 30505710

Methods of measurement for tumor mutational burden in tumor tissue.

Bárbara Meléndez1, Claude Van Campenhout1, Sandrine Rorive1, Myriam Remmelink1, Isabelle Salmon1, Nicky D'Haene1.   

Abstract

Immunotherapies based on immune checkpoint inhibitors are emerging as an innovative treatment for different types of advanced cancers. While the utility of immune checkpoint inhibitors has been clearly demonstrated, the response rate is highly variable across individuals. Due to the cost and toxicity of these immunotherapies, a critical challenge in this field is the identification of predictive biomarkers to discriminate which patients may respond to immunotherapy. Recently, a high tumor mutational burden (TMB) has been identified as a genetic signature that is associated with a favorable outcome for immune checkpoint inhibitor therapy. The TMB is defined as the total number of nonsynonymous mutations per coding area of a tumor genome. Initially, it was determined using whole exome sequencing, but due to the high costs and long turnaround time of this method, targeted panel sequencing is currently being explored to measure TMB. In the near future, TMB evaluation may play an important role in immuno-oncology, but its implementation in a routine setting involves robust analytical and clinical validation. Standardization is also needed in order to make informed decisions about patients. This review presents the methodologies employed for determining TMB and discusses the factors that may have an impact on its measurement.

Entities:  

Keywords:  Tumor mutational burden (TMB); gene panels; methods; whole-exome sequencing (WES)

Year:  2018        PMID: 30505710      PMCID: PMC6249625          DOI: 10.21037/tlcr.2018.08.02

Source DB:  PubMed          Journal:  Transl Lung Cancer Res        ISSN: 2218-6751


  29 in total

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Journal:  Transl Lung Cancer Res       Date:  2019-12

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Authors:  Hanadi El Achi; Joseph D Khoury; Sanam Loghavi
Journal:  Curr Hematol Malig Rep       Date:  2019-10       Impact factor: 3.952

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Authors:  Kenneth H Buetow; Lydia R Meador; Hari Menon; Yih-Kuang Lu; Jacob Brill; Haiyan Cui; Denise J Roe; David J DiCaudo; K Taraszka Hastings
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Authors:  Vanessa Acebes-Fernández; Alicia Landeria-Viñuela; Pablo Juanes-Velasco; Angela-Patricia Hernández; Andrea Otazo-Perez; Raúl Manzano-Román; Rafael Gongora; Manuel Fuentes
Journal:  Nanomaterials (Basel)       Date:  2020-06-29       Impact factor: 5.076

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Authors:  Qingzhu Jia; Jun Wang; Ning He; Ji He; Bo Zhu
Journal:  JCI Insight       Date:  2019-05-16

8.  Cross-Site Concordance Evaluation of Tumor DNA and RNA Sequencing Platforms for the CIMAC-CIDC Network.

Authors:  Zexian Zeng; Jingxin Fu; Carrie Cibulskis; Aashna Jhaveri; Curtis Gumbs; Biswajit Das; Beatriz Sanchez-Espiridion; Sylvie Janssens; Daoud Meerzaman; Magdalena Thurin; Andrew Futreal; Chris Karlovich; Stacey B Gabriel; Ignacio Ivan Wistuba; X Shirley Liu; Catherine J Wu; Len Taing; Jin Wang; James Lindsay; Tomas Vilimas; Jianhua Zhang; Collin Tokheim; Avinash Sahu; Peng Jiang; Chunhua Yan; Dzifa Yawa Duose; Ethan Cerami; Li Chen; David Cohen; Qingrong Chen; Rebecca Enos; Xin Huang; Jack J Lee; Yang Liu; Donna S Neuberg; Cu Nguyen; Candace Patterson; Sharmistha Sarkar; Sachet Shukla; Ming Tang; Junko Tsuji; Mohamed Uduman; Xiaoman Wang; Jason L Weirather; Jijun Yu; Joyce Yu; Jianjun Zhang; Jiexin Zhang
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10.  [Research Progress on Heterogeneity of Tumor Mutation Burden in Patients with 
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Journal:  Zhongguo Fei Ai Za Zhi       Date:  2021-04-20
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