Identification of a novel prognostic cuproptosis-associated LncRNA signature for predicting prognosis and immunotherapy response in patients with esophageal cancer

作者全名：Sun, Xinhai; Li, Liming; Yang, Xiaojie; Ke, Dan; Zhong, Qihong; Zhu, Yuanchang; Yang, Litao; Zhang, Zhenyang; Lin, Jiangbo

作者地址：[Sun, Xinhai; Li, Liming; Zhong, Qihong; Zhang, Zhenyang; Lin, Jiangbo] Fujian Med Univ, Union Hosp, Fujian Inst Thorac & Cardiac Surg, Dept Thorac Surg, 29 Xinquan Rd, Fuzhou 350001, Peoples R China; [Yang, Xiaojie] Chongqing Med Univ, Affiliated Hosp 3, Dept Thorac Surg, Chongqing, Peoples R China; [Ke, Dan] Mudanjiang Med Univ, Coll life Sci, Heilongjiang Key Lab Tissue Damage & Repair, Mudanjiang, Peoples R China; [Zhu, Yuanchang] Fujian Med Univ, Union Hosp, Dept Colorectal Surg, Fuzhou, Peoples R China; [Yang, Litao] Baoji Tradit Chinese Med Hosp, Dept Thorac Surg, Baoji, Shaanxi, Peoples R China

通信作者：Zhang, ZY; Lin, JB (通讯作者)，Fujian Med Univ, Union Hosp, Fujian Inst Thorac & Cardiac Surg, Dept Thorac Surg, 29 Xinquan Rd, Fuzhou 350001, Peoples R China.

来源：HELIYON

ESI学科分类：　

WOS号：WOS:001236353300001

JCR分区：Q1

影响因子：3.4

年份：2024

卷号：10

期号：9

开始页：　

结束页：　

文献类型：Article

关键词：Esophageal cancer; Cuproptosis; lncRNA; Prognostic signature; UGDH-AS1

摘要：Nowadays, effective prognostic models for esophageal cancer (ESCA) are still lacking. Long noncoding RNAs (lncRNAs) are commonly utilized as indicators for diagnosing cancer and forecasting patient outcomes. Cuproptosis is regulated by multiple genes and is crucial to the progression of ESCA. However, it is not yet clear what role the cuproptosis-associated lncRNAs (CuALs) play in ESCA. To tackle this problem, a prognostic signature incorporating three CuALs was created. This signature was constructed by the use of the least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression. Subsequently, the signature effectively stratified ESCA samples into a high -risk group and a low -risk group. Those in the low -risk group demonstrated extended overall survival (OS), as well as increased infiltration of T cells, macrophages, and NK cells, suggesting a potentially enhanced response to immunotherapy. The ROC curve analysis demonstrated that this prognostic signature outperformed conventional clinical factors in predicting patient prognosis (AUC = 0.708). K -M survival analysis and correlation analysis identified UGDH-AS1 (a CuAL) as a protective factor positively associated with patient prognosis. The results of RT-qPCR and wound healing assays indicated that UGDH-AS1 is overexpressed in ESCA and could inhibit cancer cell migration. In general, the prognostic signature of CuALs demonstrated a robust capability in forecasting the immune environment and patient prognosis, highlighting its potential as a tool for enhancing personalized treatment strategies in ESCA.

基金机构：Joint Funds for the Innovation of Science and Technology, Fujian Province [2021Y9057]

基金资助正文：This study was supported by Joint Funds for the Innovation of Science and Technology, Fujian Province (Grant Number: 2021Y9057).