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TitleA Comprehensive Analysis of Programmed Cell Death-Associated Genes for Tumor Microenvironment Evaluation Promotes Precise Immunotherapy in Patients with Lung Adenocarcinoma
Creator
Date Issued2023-03-01
Source PublicationJournal of Personalized Medicine
Volume13Issue:3
AbstractImmune checkpoint inhibitors (ICIs) represent a new hot spot in tumor therapy. Programmed cell death has an important role in the prognosis. We explore a programmed cell death gene prognostic model associated with survival and immunotherapy prediction via computational algorithms. Patient details were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus databases. We used LASSO algorithm and multiple-cox regression to establish a programmed cell death-associated gene prognostic model. Further, we explored whether this model could evaluate the sensitivity of patients to anti-PD-1/PD-L1. In total, 1342 patients were included. We constructed a programmed cell death model in TCGA cohorts, and the overall survival (OS) was significantly different between the high- and low-risk score groups (HR 2.70; 95% CI 1.94–3.75; p < 0.0001; 3-year OS AUC 0.71). Specifically, this model was associated with immunotherapy progression-free survival benefit in the validation cohort (HR 2.42; 95% CI 1.59–3.68; p = 0.015; 12-month AUC 0.87). We suggest that the programmed cell death model could provide guidance for immunotherapy in LUAD patients.
Keywordimmunotherapy lung adenocarcinoma prognostic prediction programmed cell death tumor microenvironment
DOI10.3390/jpm13030476
URLView source
Language英语English
Scopus ID2-s2.0-85152675563
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Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/11592
CollectionBeijing Normal-Hong Kong Baptist University
Corresponding AuthorYu,Yunfang
Affiliation
1.Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation,Department of Medical Oncology,Breast Tumor Center,Phase I Clinical Trial Center,Sun Yat-sen Memorial Hospital,Sun Yat-sen University,Guangzhou,510120,China
2.Department of Experimental Research,The Affiliated Tumor Hospital of Guangxi Medical University,Nanning,530000,China
3.Division of Science and Technology,Beijing Normal University-Hong Kong Baptist University United International College,Zhuhai,519000,China
4.School of Medicine,Guilin Medical University,Guilin,541000,China
5.Faculty of Medicine,Macau University of Science and Technology,Taipa,999078,Macao
Recommended Citation
GB/T 7714
Huang,Yunxi,Ouyang,Wenhao,Wang,Zehuaet al. A Comprehensive Analysis of Programmed Cell Death-Associated Genes for Tumor Microenvironment Evaluation Promotes Precise Immunotherapy in Patients with Lung Adenocarcinoma[J]. Journal of Personalized Medicine, 2023, 13(3).
APA Huang,Yunxi., Ouyang,Wenhao., Wang,Zehua., Huang,Hong., Ou,Qiyun., .. & Yao,Herui. (2023). A Comprehensive Analysis of Programmed Cell Death-Associated Genes for Tumor Microenvironment Evaluation Promotes Precise Immunotherapy in Patients with Lung Adenocarcinoma. Journal of Personalized Medicine, 13(3).
MLA Huang,Yunxi,et al."A Comprehensive Analysis of Programmed Cell Death-Associated Genes for Tumor Microenvironment Evaluation Promotes Precise Immunotherapy in Patients with Lung Adenocarcinoma". Journal of Personalized Medicine 13.3(2023).
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