Predictive Models for Colon Adenocarcinoma Diagnosis, Prognosis, and Immune Microenvironment Based on 2 Hypoxia-Related Genes: KDM3A and ENO3

doi:10.1177/15330338231195494

科研成果详情

题名	Predictive Models for Colon Adenocarcinoma Diagnosis, Prognosis, and Immune Microenvironment Based on 2 Hypoxia-Related Genes: KDM3A and ENO3
作者	Kong, Chunli 1,2,3; Zheng, Liyun1,2,3; Fang, Shiji1,2,3; Chen, Minjiang1,2,3; Lin, Guihan 1,2,3; Qiu, Rongfang1,2,3; Zhao, Zhongwei1,2,3; Chen, Weiqian1,2,3; Song, Jingjing1,2,3; Yang, Yang 1,2,3; Ji, Jiansong 1,2,3
发表日期	2023
发表期刊	TECHNOLOGY IN CANCER RESEARCH & TREATMENT 影响因子和分区
语种	英语
原始文献类型	Article
关键词	hypoxia ENO3 KDM3A immune checkpoint inhibitor colon adenocarcinoma
其他关键词	COLORECTAL-CANCER ; TUMOR ; LAG-3 ; ASSOCIATION ; METASTASIS ; STATISTICS ; BURDEN
摘要	Background: Hypoxia is known to play a critical role in tumor occurrence, progression, prognosis, and therapy resistance. However, few studies have investigated hypoxia markers for diagnosing and predicting prognosis in colon adenocarcinoma (COAD). This study aims to identify a hypoxia genes-based biomarker for predicting COAD patients' prognosis and response to immunotherapy on an individual basis. Methods: Hypoxia-related genes were extracted from the Molecular Signatures Database. Gene expression, clinical data, and mutation data of COAD were collected retrospectively from the Cancer Genome Atlas, the Gene Expression Omnibus, and the International Cancer Genome Consortium databases. Univariate and multivariate cox regression, and the least absolute shrinkage and selection operator method were used to select the genes most associated with the prognosis of COAD patients. Kaplan-Meier survival analysis, receiver operating characteristic curves, calibration curves, and decision curve analyses were performed to validate the efficacy of the signature in predicting the prognosis of COAD patients. EdU incorporation assays, cell survival assays, western blot assays, and trans-well invasion assays were performed to further confirm the function of the screened genes in tumorigenesis. Results: ENO3 and KDM3A were identified as key genes for constructing prognostic and diagnostic signatures, which were found to be independent risk factors for predicting the prognosis and diagnosis of COAD patients. Using these signatures, COAD patients could be stratified into high-risk and low-risk groups, with the latter exhibiting better overall survival outcomes. Moreover, the high-risk group displayed elevated levels of immune checkpoint genes and tumor mutation burden, indicating that these patients may benefit from immune checkpoint inhibitor therapy. Conclusion: The signature developed in this study demonstrates excellent efficacy in prognosticating the outcomes of COAD patients. Moreover, it can serve as a valuable tool for clinicians to identify COAD patients who are suitable for ICI therapy.
资助项目	Zhejiang Medical and Health Science Project [2022RC087]
出版者	SAGE PUBLICATIONS INC
ISSN	1533-0346
EISSN	1533-0338
卷号	22
DOI	10.1177/15330338231195494
页数	15
WOS类目	Oncology
WOS研究方向	Oncology
WOS记录号	WOS:001057772000001
收录类别	SCIE ; SCOPUS ; PUBMED
URL	查看原文
PubMed ID	37650153
SCOPUSEID	2-s2.0-85169385474
通讯作者地址	[Yang, Yang]Department of Radiology,Clinical College of The Affiliated Central Hospital,Lishui University,Lishui,China ; [Ji, Jiansong]Department of Radiology,Clinical College of The Affiliated Central Hospital,Lishui University,Lishui,China
Scopus学科分类	Oncology;Cancer Research
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/182797
专题	其他_附属第五医院（丽水市中心医院）
通讯作者	Yang, Yang; Ji, Jiansong
作者单位	1.Department of Radiology,Clinical College of The Affiliated Central Hospital,Lishui University,Lishui,China; 2.Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research,Institute of Imaging Diagnosis and Minimally Invasive Intervention Research,The Fifth Affiliated Hospital of Wenzhou Medical University,Lishui,China; 3.Department of Radiology,Lishui Hospital of Zhejiang University,Lishui,China
第一作者单位	其他_附属第五医院（丽水市中心医院）
推荐引用方式 GB/T 7714	Kong, Chunli,Zheng, Liyun,Fang, Shiji,et al. Predictive Models for Colon Adenocarcinoma Diagnosis, Prognosis, and Immune Microenvironment Based on 2 Hypoxia-Related Genes: KDM3A and ENO3[J]. TECHNOLOGY IN CANCER RESEARCH & TREATMENT,2023,22.
APA	Kong, Chunli., Zheng, Liyun., Fang, Shiji., Chen, Minjiang., Lin, Guihan., ... & Ji, Jiansong. (2023). Predictive Models for Colon Adenocarcinoma Diagnosis, Prognosis, and Immune Microenvironment Based on 2 Hypoxia-Related Genes: KDM3A and ENO3. TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 22.
MLA	Kong, Chunli,et al."Predictive Models for Colon Adenocarcinoma Diagnosis, Prognosis, and Immune Microenvironment Based on 2 Hypoxia-Related Genes: KDM3A and ENO3".TECHNOLOGY IN CANCER RESEARCH & TREATMENT 22(2023).