Construction and validation of a gastric cancer prognosis model based on disulfidptosis-related LncRNAs

Acta Universitatis Medicinalis Anhui 2024 08 v.59 1429-1439     font:big middle small

Found programs:

Authors:Feng Liang; Cao Zhiguo; Shi Xiaoqi; Zhang Qikun; Chen Changyu; Yu Changjun

Keywords:long non-coding RNA;cell death;gastric cancer

DOI:10.19405/j.cnki.issn1000-1492.2024.08.021

〔Abstract〕 Objective Based on a novel type of cell death induced by disulfide stress, known as disulfidptosis, this study explores the role of long non-coding RNA( LncRNA) in gastric cancer and establishes a prognosis model related to disulfidptosis,providing a new method for assessing the prognosis of gastric cancer treatment. Methods Transcriptomic data from gastric cancer and normal tissue samples were obtained from the public database TCGA,and disulfidptosis-related LncRNAs were selected through Pearson analysis and LASSO-Cox regression analysis. A relevant prognostic model for gastric cancer was constructed based on the above LncRNAs and validated by functional enrichment analysis,tumour microenvironment and immune cell infiltration analysis,drug sensitivity analysis and quantitative reverse transcription PCR(RT-qPCR). Results In this study,400 disulfide death-associated LncRNAs were identified and five of them were screened to construct a prognostic model for assessing the prognosis of gastric cancer patients. The models showed in validation that the survival of the high-risk score group was shorter than that of the low-risk score group(P<0.05). In addition,the predictive ability of the prognostic model(AUC=0.725) was better than that based only on basic characteristics such as age and gender. The expression levels of disulfide death-associated LncRNAs differed between normal and gastric cancer tissues(P<0.001). Conclusion The disulfidptosis-related LncRNA prognosis model developed in this study can effectively assess the prognosis of gastric cancer patients and the tumor microenvironment,providing potential targets and a theoretical basis for new immunotherapeutic strategies for gastric cancer.