Literature DB >> 32209830

Advanced Non-Small Cell Lung Cancer Patients With Low Tumor Mutation Burden Might Derive Benefit From Immunotherapy.

Wei Nie1, Mi-Die Xu2, Lu Gan3, Yi Zhang4,5, Jie Qian1, Kai Gu6, Xue-Yan Zhang1, Hui-Min Wang1, Bo Yan1, Ping Gu1, Bo Zhang1, Shu-Yuan Wang1, Fang Hu1, Chang-Hui Li1, Hua Zhong1, Bao-Hui Han1.   

Abstract

The aim of this study is to investigate the association between tumor mutation burden (TMB) and survival in non-small cell lung cancer (NSCLC) patients with anti-programmed cell death protein 1 and anti-programmed death-ligand 1 blockade. Two retrospective cohorts and The Cancer Genome Atlas NSCLC data set were included in this study. The restricted cubic spline analysis was used to explore the association between TMB and survival. The cutoff values for TMB were determined by X-tile software. Primary outcomes were overall survival (OS). The associations between TMB and intratumor heterogeneity, number of segments, fraction of genome alterations, aneuploidy score, and T-cell populations were also investigated. In the restricted cubic spline plots, TMB showed an inverted U-shaped curve with OS. The median OS in the low TMB group was significantly longer than those in the medium TMB group. In The Cancer Genome Atlas NSCLC data set, low TMB was also associated with longer OS in comparison with medium TMB. Furthermore, NSCLC patients with low TMB had significantly lower intratumor heterogeneity, number of segments, fraction of genome alterations, aneuploidy score, T-helper type 2 (Th2) cells, and CD8 T cells, but higher levels of Th1 and Th17 cells. Low TMB might be a prognostic factor for NSCLC patients receiving anti-programmed cell death protein 1/programmed death-ligand 1 immunotherapy.

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Year:  2020        PMID: 32209830     DOI: 10.1097/CJI.0000000000000318

Source DB:  PubMed          Journal:  J Immunother        ISSN: 1524-9557            Impact factor:   4.456


  6 in total

1.  Atezolizumab prolongs overall survival over docetaxel in advanced non-small-cell lung cancer patients harboring STK11 or KEAP1 mutation.

Authors:  Wei Nie; Lu Gan; Xin Wang; Kai Gu; Fang-Fei Qian; Min-Juan Hu; Ding Zhang; Shi-Qing Chen; Jun Lu; Shu-Hui Cao; Jing-Wen Li; Yue Wang; Bo Zhang; Shu-Yuan Wang; Chang-Hui Li; Ping Yang; Mi-Die Xu; Xue-Yan Zhang; Hua Zhong; Bao-Hui Han
Journal:  Oncoimmunology       Date:  2021-01-15       Impact factor: 8.110

2.  Smoking status combined with tumor mutational burden as a prognosis predictor for combination immune checkpoint inhibitor therapy in non-small cell lung cancer.

Authors:  Li-Yue Sun; Wen-Jian Cen; Wen-Ting Tang; Ya-Kang Long; Xin-Hua Yang; Xiao-Meng Ji; Jiao-Jiao Yang; Ren-Jing Zhang; Fang Wang; Jian-Yong Shao; Zi-Ming Du
Journal:  Cancer Med       Date:  2021-09-01       Impact factor: 4.452

3.  Integrative Genomic Analyses of 1,145 Patient Samples Reveal New Biomarkers in Esophageal Squamous Cell Carcinoma.

Authors:  Binbin Zou; Dinghe Guo; Pengzhou Kong; Yanqiang Wang; Xiaolong Cheng; Yongping Cui
Journal:  Front Mol Biosci       Date:  2022-01-21

4.  Comprehensive analysis of cellular senescence-related genes in the prognosis, tumor microenvironment, and immunotherapy/chemotherapy of clear cell renal cell carcinoma.

Authors:  Caibao Lu; Yiqin Wang; Ling Nie; Liping Chen; Moqi Li; Huimin Qing; Sisi Li; Shuang Wu; Zhe Wang
Journal:  Front Immunol       Date:  2022-09-16       Impact factor: 8.786

5.  A 5-Genomic Mutation Signature Can Predict the Survival for Patients With NSCLC Receiving Atezolizumab.

Authors:  Jiamao Lin; Xiaohui Wang; Chenyue Zhang; Shuai Bu; Chenglong Zhao; Haiyong Wang
Journal:  Front Immunol       Date:  2021-06-23       Impact factor: 7.561

6.  Identification and validation of cellular senescence patterns to predict clinical outcomes and immunotherapeutic responses in lung adenocarcinoma.

Authors:  Weihao Lin; Xin Wang; Zhenyi Xu; Zhen Wang; Tiejun Liu; Zheng Cao; Xiaoli Feng; Yibo Gao; Jie He
Journal:  Cancer Cell Int       Date:  2021-12-06       Impact factor: 5.722

  6 in total

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