"Based on cuproptosis-related lncRNAs, a novel prognostic signature for colon adenocarcinoma prognosis, immunotherapy, and chemotherapy response"

作者全名："Li, Chong; Zhang, Keqian; Gong, Yuzhu; Wu, Qinan; Zhang, Yanyan; Dong, Yan; Li, Dejia; Wang, Zhe"

作者地址："[Li, Chong; Li, Dejia] Wuhan Univ, Sch Publ Hlth, Dept Occupat & Environm Hlth, Wuhan, Peoples R China; [Li, Chong; Zhang, Yanyan] Chongqing Med Univ, Dept Oncol, Dazu Hosp, Chongqing, Peoples R China; [Zhang, Keqian; Gong, Yuzhu; Dong, Yan; Wang, Zhe] Third Mil Med Univ, Army Med Univ, Southwest Hosp, Chongqing, Peoples R China; [Zhang, Keqian; Gong, Yuzhu; Dong, Yan; Wang, Zhe] Third Mil Med Univ, Army Med Univ, Southwest Hosp, Southwest Canc Ctr, Chongqing, Peoples R China; [Wu, Qinan] Chongqing Med Univ, Endocrinol Dept, Dazu Hosp, Chongqing, Peoples R China"

通信作者："Li, DJ (通讯作者)，Wuhan Univ, Sch Publ Hlth, Dept Occupat & Environm Hlth, Wuhan, Peoples R China.; Wang, Z (通讯作者)，Third Mil Med Univ, Army Med Univ, Southwest Hosp, Chongqing, Peoples R China.; Wang, Z (通讯作者)，Third Mil Med Univ, Army Med Univ, Southwest Hosp, Southwest Canc Ctr, Chongqing, Peoples R China."

来源：FRONTIERS IN PHARMACOLOGY

ESI学科分类：PHARMACOLOGY & TOXICOLOGY

WOS号：WOS:001017478800001

JCR分区：Q1

影响因子：4.4

年份：2023

卷号：14

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：TCGA; colon adenocarcinoma; cuproptosis; lncRNA; prognostic; immunotherapy response

摘要："Introduction: Colon adenocarcinoma (COAD) is a special pathological subtype of colorectal cancer (CRC) with highly heterogeneous solid tumors with poor prognosis, and novel biomarkers are urgently required to guide its prognosis.Material and methods: RNA-Seq data of COAD were downloaded through The Cancer Genome Atlas (TCGA) database to determine cuproptosis-related lncRNAs (CRLs) using weighted gene co-expression network analysis (WGCNA). The scores of the pathways were calculated by single-sample gene set enrichment analysis (ssGSEA). CRLs that affected prognoses were determined via the univariate COX regression analysis to develop a prognostic model using multivariate COX regression analysis and LASSO regression analysis. The model was assessed by applying Kaplan-Meier (K-M) survival analysis and receiver operating characteristic curves and validated in GSE39582 and GSE17538. The tumor microenvironment (TME), single nucleotide variants (SNV), and immunotherapy response/chemotherapy sensitivity were assessed in high- and low-score subgroups. Finally, the construction of a nomogram was adopted to predict survival rates of COAD patients during years 1, 3, and 5.Results: We found that a high cuproptosis score reduced the survival rates of COAD significantly. A total of five CRLs affecting prognosis were identified, containing AC008494.3, EIF3J-DT, AC016027.1, AL731533.2, and ZEB1-AS1. The ROC curve showed that RiskScore could perform well in predicting the prognosis of COAD. Meanwhile, we found that RiskScore showed good ability in assessing immunotherapy and chemotherapy sensitivity. Finally, the nomogram and decision curves showed that RiskScore would be a powerful predictor for COAD.Conclusion: A novel prognostic model was constructed using CRLs in COAD, and the CRLs in the model were probably a potential therapeutic target. Based on this study, RiskScore was an independent predictor factor, immunotherapy response, and chemotherapy sensitivity for COAD, providing a new scientific basis for COAD prognosis management."

基金机构：National Natural Science Foundation of China [81472698]; Natural Science Foundation of Chongqing CSTC [CSTB2022NSCQ-MSX0212]

基金资助正文：Funding This work was supported by grants from the National Natural Science Foundation of China (81472698) and Natural Science Foundation of Chongqing CSTC (CSTB2022NSCQ-MSX0212).