Literature DB >> 35838838

Age-dependent genomic characteristics and their impact on immunotherapy in lung adenocarcinoma.

Peng Li1, Shuyu Che2, Yingxue Qi3,4,5, Ningning Luo3,4,5, Qiuju Lin6, Xiaofeng Zhu3,4,5, Yunpeng Xuan1, Mengmeng Li3,4,5, Jinlong Li1, Minghui Ge3,4,5, Tingting Sun3,4,5, Chuang Qi3,4,5, Yongjie Wang7.   

Abstract

BACKGROUND: The incidence of lung cancer tends to be younger, and adenocarcinoma is the main histological type. Even patients with the same tumor type may have significant differences in clinical features, tumor microenvironment and genomic background at different ages. Immune checkpoint inhibitors (ICIs) have been shown to improve clinical outcomes in patients with lung adenocarcinoma (LUAD). However, differences in ICI efficacy between older and younger patients are unknown. Our study aimed to explore the relationship between age and immunotherapy in LUAD.
METHODS: In our study, 1313 resected LUAD patients in our hospital were divided into young (age ≤ 50) and old groups (age > 50), and the clinical characteristic differences between them were analyzed. Of these, next-generation sequencing (NGS) was performed on the 311 cases. In addition, immune-related signatures of 508 LUAD patients were analyzed by TCGA RNA expression data. Then, we validated genomic and clinical information of 270 LUAD samples in the MSKCC cohort.
RESULTS: ERBB2 and EGFR gene mutations were significantly different between the two groups, and the gene mutation number in the old group was significantly higher than that in the young group. In addition, immune-related signatures of LUAD patients were analyzed by TCGA RNA expression data, which indicated that the patients in the old group might have a better immune microenvironment. Then, we validated the MSKCC cohort and found that the TMB of the old group was significantly higher than that of the young group, and the OS of immunotherapy was longer in the old group.
CONCLUSION: Our study was the first to analyze the differences in the genomic landscape and immune-related biomarkers between the young and old groups of LUAD patients and found that the old group had a better efficacy of immunotherapy, providing a reference for the study design and treatment of patients with LUAD.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Age; Biomarker; Immunotherapy; Lung adenocarcinoma; Next-generation sequencing

Year:  2022        PMID: 35838838     DOI: 10.1007/s00432-022-04195-8

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.322


  59 in total

1.  First-Line Nivolumab in Stage IV or Recurrent Non-Small-Cell Lung Cancer.

Authors:  David P Carbone; Martin Reck; Luis Paz-Ares; Benjamin Creelan; Leora Horn; Martin Steins; Enriqueta Felip; Michel M van den Heuvel; Tudor-Eliade Ciuleanu; Firas Badin; Neal Ready; T Jeroen N Hiltermann; Suresh Nair; Rosalyn Juergens; Solange Peters; Elisa Minenza; John M Wrangle; Delvys Rodriguez-Abreu; Hossein Borghaei; George R Blumenschein; Liza C Villaruz; Libor Havel; Jana Krejci; Jesus Corral Jaime; Han Chang; William J Geese; Prabhu Bhagavatheeswaran; Allen C Chen; Mark A Socinski
Journal:  N Engl J Med       Date:  2017-06-22       Impact factor: 91.245

Review 2.  Lung cancer, elderly and immune checkpoint inhibitors.

Authors:  Francesca Casaluce; Assunta Sgambato; Paolo Maione; Alessia Spagnuolo; Cesare Gridelli
Journal:  J Thorac Dis       Date:  2018-05       Impact factor: 2.895

3.  Lung Cancer in the Very Young: Treatment and Survival in the National Cancer Data Base.

Authors:  Brian N Arnold; Daniel C Thomas; Joshua E Rosen; Michelle C Salazar; Justin D Blasberg; Daniel J Boffa; Frank C Detterbeck; Anthony W Kim
Journal:  J Thorac Oncol       Date:  2016-04-19       Impact factor: 15.609

Review 4.  Comparing and contrasting predictive biomarkers for immunotherapy and targeted therapy of NSCLC.

Authors:  D Ross Camidge; Robert C Doebele; Keith M Kerr
Journal:  Nat Rev Clin Oncol       Date:  2019-06       Impact factor: 66.675

5.  Nut consumption in association with overall mortality and recurrence/disease-specific mortality among long-term breast cancer survivors.

Authors:  Cong Wang; Kai Gu; Fei Wang; Hui Cai; Wei Zheng; Pingping Bao; Xiao-Ou Shu
Journal:  Int J Cancer       Date:  2021-10-19       Impact factor: 7.396

Review 6.  Oncology meets immunology: the cancer-immunity cycle.

Authors:  Daniel S Chen; Ira Mellman
Journal:  Immunity       Date:  2013-07-25       Impact factor: 31.745

7.  Cancer statistics in China, 2015.

Authors:  Wanqing Chen; Rongshou Zheng; Peter D Baade; Siwei Zhang; Hongmei Zeng; Freddie Bray; Ahmedin Jemal; Xue Qin Yu; Jie He
Journal:  CA Cancer J Clin       Date:  2016-01-25       Impact factor: 508.702

Review 8.  Programmed Death-Ligand 1 Immunohistochemistry Testing: A Review of Analytical Assays and Clinical Implementation in Non-Small-Cell Lung Cancer.

Authors:  Reinhard Büttner; John R Gosney; Birgit Guldhammer Skov; Julien Adam; Noriko Motoi; Kenneth J Bloom; Manfred Dietel; John W Longshore; Fernando López-Ríos; Frédérique Penault-Llorca; Giuseppe Viale; Andrew C Wotherspoon; Keith M Kerr; Ming-Sound Tsao
Journal:  J Clin Oncol       Date:  2017-10-20       Impact factor: 44.544

9.  Transcriptomics analysis for the identification of potential age-related genes and cells associated with three major urogenital cancers.

Authors:  Jinlong Cao; Jianpeng Li; Xin Yang; Pan Li; Zhiqiang Yao; Dali Han; Lijun Ying; Lijie Wang; Junqiang Tian
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

10.  Development of a risk prediction model for lung cancer: The Japan Public Health Center-based Prospective Study.

Authors:  Hadrien Charvat; Shizuka Sasazuki; Taichi Shimazu; Sanjeev Budhathoki; Manami Inoue; Motoki Iwasaki; Norie Sawada; Taiki Yamaji; Shoichiro Tsugane
Journal:  Cancer Sci       Date:  2018-02-21       Impact factor: 6.716

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