A cuproptosis-related lncRNA signature for predicting prognosis and immunotherapy response of lung adenocarcinoma

被引:6
作者
Yu, Sheng [1 ,2 ,3 ]
Tang, Lingxue [1 ]
Zhang, Qianqian [1 ]
Li, Wen [1 ]
Yao, Senbang [1 ]
Cai, Yinlian [1 ]
Cheng, Huaidong [2 ,3 ]
机构
[1] Anhui Med Univ, Dept Oncol, Affiliated Hosp 2, 678 Furong Rd, Hefei 230601, Anhui, Peoples R China
[2] Southern Med Univ, Shenzhen Clin Med Sch, Shenzhen, Guangdong, Peoples R China
[3] Southern Med Univ, Dept Oncol, Shenzhen Hosp, Shenzhen, Peoples R China
基金
中国国家自然科学基金;
关键词
Lung adenocarcinoma; Non-small cell lung cancer (NSCLC); Cuproptosis; LncRNAs; Prognostic signature; Immunotherapy response; CELL-DEATH; CANCER; CHALLENGES; PROMOTER; BURDEN;
D O I
10.1186/s41065-023-00293-w
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
BackgroundCopper-induced cell death (cuproptosis) is a new regulatory cell death mechanism. Long noncoding RNAs (lncRNAs) are related to tumor immunity and metastasis. However, the correlation of cuproptosis-related lncRNAs with the immunotherapy response and prognosis of lung adenocarcinoma (LUAD) patients is not clear.MethodsWe obtained the clinical characteristics and transcriptome data from TCGA-LUAD dataset (containing 539 LUAD and 59 paracancerous tissues). By utilizing LASSO-penalized Cox regression analysis, we identified a prognostic signature composed of cuproptosis-related lncRNAs. This signature was then utilized to segregate patients into two different risk categories based on their respective risk scores. The identification of differentially expressed genes (DEGs) between high- and low-risk groups was carried out using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. We evaluated the immunotherapy response by analyzing tumor mutational burden (TMB), immunocyte infiltration and Tumor Immune Dysfunction and Exclusion (TIDE) web application. The "pRRophetic" R package was utilized to conduct further screening of potential therapeutic drugs for their sensitivity.ResultsWe ultimately identified a prognostic risk signature that includes six cuproptosis-related lncRNAs (AP003778.1, AC011611.2, CRNDE, AL162632.3, LY86-AS1, and AC090948.1). Compared with clinical characteristics, the signature was significantly correlated with prognosis following the control of confounding variables (HR = 2.287, 95% CI = 1.648-3.174, p < 0.001), and correctly predicted 1-, 2-, and 3-year overall survival (OS) rates (AUC value = 0.725, 0.715, and 0.662, respectively) in LUAD patients. In terms of prognosis, patients categorized as low risk exhibited more positive results in comparison to those in the high-risk group. The enrichment analysis showed that the two groups had different immune signaling pathways. Immunotherapy may offer a more appropriate treatment option for high-risk patients due to their higher TMB and lower TIDE scores. The higher risk score may demonstrate increased sensitivity to bexarotene, cisplatin, epothilone B, and vinorelbine.ConclusionsBased on cuproptosis-related lncRNAs, we constructed and validated a novel risk signature that may be used to predict immunotherapy efficacy and prognosis in LUAD patients.
引用
收藏
页数:14
相关论文
共 50 条
[31]   Analysis of cuproptosis-related lncRNA signature for predicting prognosis and tumor immune microenvironment in pancreatic cancer [J].
Hong-Fei Yao ;
Da-Peng Xu ;
Jia-Hao Zheng ;
Yu Xu ;
Qin-Yuan Jia ;
Yu-Heng Zhu ;
Jian Yang ;
Rui-Zhe He ;
Ding Ma ;
Min-Wei Yang ;
Xue-Liang Fu ;
De-Jun Liu ;
Yan-Miao Huo ;
Jian-Yu Yang ;
Jun-Feng Zhang .
Apoptosis, 2023, 28 :1090-1112
[32]   Prognostic signature construction and immunotherapy response analysis for Uterine Corpus Endometrial Carcinoma based on cuproptosis-related lncRNAs [J].
Zhang, Xu ;
Ye, Zhiqiang ;
Xiao, Guohong ;
He, Ting .
COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 159
[33]   A novel cuproptosis-related prognostic lncRNA signature for predicting immune and drug therapy response in hepatocellular carcinoma [J].
Chen, Shujia ;
Liu, Peiyan ;
Zhao, Lili ;
Han, Ping ;
Liu, Jie ;
Yang, Hang ;
Li, Jia .
FRONTIERS IN IMMUNOLOGY, 2022, 13
[34]   Identification of Cuproptosis-Related Patterns Predict Prognosis and Immunotherapy Response in Hepatocellular Carcinoma [J].
Guo, Kai ;
Wang, Tianbing ;
Yin, Jimin ;
Yang, Shoushan ;
Cui, Haodong ;
Cao, Zichuan ;
Zhao, Qiang ;
Xie, Gongbo ;
Lu, Jian ;
Gu, Guosheng ;
Wu, Wenyong .
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2024, 28 (23)
[35]   Cuproptosis-Related lncRNA Predict Prognosis and Immune Response of LUAD [J].
Zhou, Qianhui ;
Liu, Yi ;
Gao, Yan ;
Quan, Lingli ;
Wang, Lin ;
Wang, Hao .
PHARMACOGENOMICS & PERSONALIZED MEDICINE, 2024, 17 :319-336
[36]   Prediction of immune infiltration and prognosis for patients with cholangiocarcinoma based on a cuproptosis-related lncRNA signature [J].
Yao, Hong-Fei ;
He, Min ;
Zhu, Yu-Heng ;
Zhang, Bo ;
Chen, Peng-Cheng ;
Huo, Yan-Miao ;
Zhang, Jun-Feng ;
Yang, Chao .
HELIYON, 2024, 10 (01)
[37]   Identification of cuproptosis-related lncRNA for predicting prognosis and immunotherapeutic response in cervical cancer [J].
Kong, Xiaoyu ;
Xiong, Yuanpeng ;
Xue, Mei ;
He, Jie ;
Lu, Qinsheng ;
Chen, Miaojuan ;
Li, Liping .
SCIENTIFIC REPORTS, 2023, 13 (01)
[38]   A Novel m6A-Related LncRNA Signature for Predicting Prognosis, Chemotherapy and Immunotherapy Response in Patients with Lung Adenocarcinoma [J].
Shen, Yefeng ;
Wang, Shaochun ;
Wu, Yuanzhou .
CELLS, 2022, 11 (15)
[39]   Establishment and validation of a cuproptosis-related lncRNA signature that predicts prognosis and potential targeted therapy in hepatocellular carcinoma [J].
Guo, Ding-Fan ;
Fan, Lin-Wei ;
Zeng, Hai-Hui ;
Huang, Cai-Bin ;
Wu, Xin-Huan .
BIOTECHNOLOGY AND GENETIC ENGINEERING REVIEWS, 2024, 40 (02) :739-764
[40]   Role of cuproptosis-related gene in lung adenocarcinoma [J].
Liu, Yuan ;
Lin, Wei ;
Yang, Ying ;
Shao, JingJing ;
Zhao, Hongyu ;
Wang, Gaoren ;
Shen, Aiguo .
FRONTIERS IN ONCOLOGY, 2022, 12