Establishment of an endoplasmic reticulum stress-associated lncRNAs model to predict prognosis and immunological characteristics in hepatocellular carcinoma

Autor: Chunfu Zhu, Xingyuan Shen, Zhen Yang
Rok vydání: 2022
DOI: 10.21203/rs.3.rs-1556860/v1
Popis: Background: The endoplasmic reticulum stress (ERS) and unfolded protein response (UPR) pathways play an essential role in the pathophysiology of hepatocellular carcinoma, and activation of the URP pathway is strongly associated with tumor growth. However, the function of endoplasmic reticulum stress (ERS)-associated LncRNAs in hepatocellular cancer is less recognized.Methods: We have used TCGA to obtain clinical and transcriptome data for hepatocellular carcinoma patients and the GSEA molecular signature database to get the Endoplasmic reticulum stress (ERS) gene. Risk models for ERS-associated lncRNAs were built using univariate Cox regression study, LASSO-regression study, and multivariate Cox regression study. Subsequent studies included Kaplan-Meier, multi-exponential ROC curve, GSEA, immune-infiltration study, time-dependent ROC curve. We used consensus clustering study to discover novel subgroups of hepatocellular carcinomas in accordance with transcriptome data of ERS-associated lncRNAs in HCC entire samples.Results: To construct the risk model, we chose six ERS-associated lncRNAs from the HCC training samples (containingMKLN1-AS, LINC01224, AL590705.3, AC008622.2, AC145207.5, and AC026412.3). Calculate the risk score for each HCC patient in accordance with the above 6 lncRNAs, patients with HCC were assigned into the groups at a high risk and a low risk. The overall survival rate of patients in the group at a high risk was lower than that of patients in the group at a low risk. In addition, the group at a high risk exhibited a higher infiltration of immune cells. Sensitivity to various chemotherapeutic drugs in the groups at a high risk and a low risk was studied. Our risk model was an independent prognostic factor according to independent predictive study. The risk model high prediction capacity for HCC prognosis was further confirmed using ROC study.Conclusions: In this article, we created an ERS-associated lncRNAs risk model to help prognostic diagnosis and personalized therapy in Hepatocellular carcinoma.
Databáze: OpenAIRE