An aging-related signature predicts favorable outcome and immunogenicity in lung adenocarcinoma

被引:12
作者
Zhang, Wenjing [1 ]
Li, Yuting [2 ]
Lyu, Juncheng [1 ]
Shi, Fuyan [1 ]
Kong, Yujia [1 ]
Sheng, Chao [3 ]
Wang, Suzhen [1 ]
Wang, Qinghua [1 ]
机构
[1] Weifang Med Univ, Sch Publ Hlth, Key Lab Med & Hlth Shandong Prov, Dept Hlth Stat, Baotong Xi St, Weifang 261053, Shandong, Peoples R China
[2] Tianjin Med Univ, Canc Inst & Hosp, Tianjin Canc Inst, Natl Clin Res Ctr Canc,Key Lab Canc Prevent & The, Tianjin, Peoples R China
[3] Tianjin Med Univ, Canc Inst & Hosp, Key Lab Mol Canc Epidemiol Tianjin, Natl Clin Res Ctr Canc,Dept Epidemiol & Biostat, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
aging risk signature; immunotherapy efficacy; lung adenocarcinoma; predictive indicator; prognosis; tumor immunogenicity; IMMUNE CHECKPOINT INHIBITORS; CANCER; TP53; ASSOCIATION; MUTATIONS; LONGEVITY; EVOLUTIONARY; BLOCKADE;
D O I
10.1111/cas.15254
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Aging has been demonstrated to play vital roles in the prognosis and treatment efficacy of cancers, including lung adenocarcinoma (LUAD). This novel study aimed to construct an aging-related risk signature to evaluate the prognosis and immunogenicity of LUAD. Transcriptomic profiles and clinical information were collected from a total of 2518 LUAD patients from 12 independent cohorts. The risk signature was developed by combining specific gene expression with the corresponding regression coefficients. One cohort treated with the immune checkpoint inhibitor (ICI) was also used. Subsequently, a risk signature was developed based on 21 aging-related genes. LUAD patients with low-risk scores exhibited improved survival outcomes in both the discovery and validation cohorts. Further immunology analysis revealed elevated lymphocyte infiltration, decreased infiltration of immune-suppressive cells, immune response-related pathways, and favorable ICI predictor enrichment in the low-risk subgroup. Genomic mutation exploration indicated the enhanced mutation burden and higher mutation rates in significantly driver genes of TP53, KEAP1, SMARCA4, and RBM10 were enriched in patients with a low-risk signature. In the immunotherapeutic cohort, it was observed that low-risk aging scores were markedly associated with prolonged ICI prognosis. Overall, the estimated aging signature proved capable of evaluating the prognosis, tumor microenvironment, and immunogenicity, which further provided clues for tailoring prognosis prediction and immunotherapy strategies, apart from promoting individualized treatment plans for LUAD patients.
引用
收藏
页码:891 / 903
页数:13
相关论文
共 59 条
[11]   Age-related mutational signature negatively associated with immune activity and survival outcome in triple-negative breast cancer [J].
Chen, Hao ;
Chong, Wei ;
Yang, Xiaorong ;
Zhang, Yuan ;
Sang, Shaowei ;
Li, Xiangchun ;
Lu, Ming .
ONCOIMMUNOLOGY, 2020, 9 (01)
[12]   PTTG1 knockdown enhances radiation-induced antitumour immunity in lung adenocarcinoma [J].
Chen, Zhengting ;
Cao, Ke ;
Hou, Yu ;
Lu, Fei ;
Li, Lan ;
Wang, Li ;
Xia, Yaoxiong ;
Zhang, Lan ;
Chen, Haixia ;
Li, Rong ;
Chang, Li ;
Li, Wenhui .
LIFE SCIENCES, 2021, 277
[13]   Association of clock-like mutational signature with immune checkpoint inhibitor outcome in patients with melanoma and NSCLC [J].
Chong, Wei ;
Wang, Zhe ;
Shang, Liang ;
Jia, Shengtao ;
Liu, Jin ;
Fang, Zhen ;
Du, Fengying ;
Wu, Hao ;
Liu, Yang ;
Chen, Yang ;
Chen, Hao .
MOLECULAR THERAPY-NUCLEIC ACIDS, 2021, 23 :89-100
[14]   Cancer statistics for adults aged 85 years and older, 2019 [J].
DeSantis, Carol E. ;
Miller, Kimberly D. ;
Dale, William ;
Mohile, Supriya G. ;
Cohen, Harvey J. ;
Leach, Corinne R. ;
Sauer, Ann Goding ;
Lemal, Ahmedin ;
Siegel, Rebecca L. .
CA-A CANCER JOURNAL FOR CLINICIANS, 2019, 69 (06) :452-467
[15]   Potential Predictive Value of TP53 and KRAS Mutation Status for Response to PD-1 Blockade Immunotherapy in Lung Adenocarcinoma [J].
Dong, Zhong-Yi ;
Zhong, Wen-Zhao ;
Zhang, Xu-Chao ;
Su, Jian ;
Xie, Zhi ;
Liu, Si-Yang ;
Tu, Hai-Yan ;
Chen, Hua-Jun ;
Sun, Yue-Li ;
Zhou, Qing ;
Yang, Jin-Ji ;
Yang, Xue-Ning ;
Lin, Jia-Xin ;
Yan, Hong-Hong ;
Zhai, Hao-Ran ;
Yan, Li-Xu ;
Liao, Ri-Qiang ;
Wu, Si-Pei ;
Wu, Yi-Long .
CLINICAL CANCER RESEARCH, 2017, 23 (12) :3012-3024
[16]   GRASP v2.0: an update on the Genome-Wide Repository of Associations between SNPs and phenotypes [J].
Eicher, John D. ;
Landowski, Christa ;
Stackhouse, Brian ;
Sloan, Arielle ;
Chen, Wenjie ;
Jensen, Nicole ;
Lien, Ju-Ping ;
Leslie, Richard ;
Johnson, Andrew D. .
NUCLEIC ACIDS RESEARCH, 2015, 43 (D1) :D799-D804
[17]   How the ageing microenvironment influences tumour progression [J].
Fane, Mitchell ;
Weeraratna, Ashani T. .
NATURE REVIEWS CANCER, 2020, 20 (02) :89-106
[18]   Cancer cell CCR2 orchestrates suppression of the adaptive immune response [J].
Fein, Miriam R. ;
He, Xue-Yan ;
Almeida, Ana S. ;
Bruzas, Emilis ;
Pommier, Arnaud ;
Yan, Ran ;
Eberhardt, Anais ;
Fearon, Douglas T. ;
Van Aelst, Linda ;
Wilkinson, John Erby ;
Dos Santos, Camila O. ;
Egeblad, Mikala .
JOURNAL OF EXPERIMENTAL MEDICINE, 2020, 217 (10)
[19]   Regularization Paths for Generalized Linear Models via Coordinate Descent [J].
Friedman, Jerome ;
Hastie, Trevor ;
Tibshirani, Rob .
JOURNAL OF STATISTICAL SOFTWARE, 2010, 33 (01) :1-22
[20]   Predictive biomarkers for checkpoint inhibitor-based immunotherapy [J].
Gibney, Geoffrey T. ;
Weiner, Louis M. ;
Atkins, Michael B. .
LANCET ONCOLOGY, 2016, 17 (12) :E542-E551