The heat shock response (HSR) is a conserved cellular mechanism that safeguards cells against various stressors by inducing heat shock proteins (HSPs). However, to date, no study has employed the HSR to develop a prognostic risk model aimed at predicting the outcomes and directing the treatment strategies for hepatocellular carcinoma (HCC) patients. In this study, we identified two distinct molecular subgroups of HCC patients based on the expression of 37 key HSR-related genes (HRGs). These subgroups exhibited significant differences in immune infiltration, drug responsiveness, and immunotherapy efficacy. Notably, cluster 1 (C1) patients showed greater sensitivity to chemotherapy, while C2 patients were more responsive to immunotherapy. Six core HRGs (CD4, CDK5, CDKN2A, DNAJB11, HBB and TRPV4) were identified as potential biomarkers through machine learning algorithms. A risk score model incorporating these HRGs was developed to predict HCC prognosis. The expression of these HRGs was validated using immunohistochemistry (IHC), single-cell RNA sequencing, and spatial transcriptomics. Importantly, core HRGs were significantly correlated with ferroptosis, and RSL3 treatment markedly affected the expression levels of these HRGs in HCC cells. Moreover, knockdown of DNAJB11 significantly suppressed cell growth, inhibited migratory and invasive capacities, and enhanced RSL3-induced ferroptosis. This study provides the first comprehensive analysis of HSR in HCC, offering a novel molecular classification and prognostic tool to guide personalized treatment strategies.
山东省济南市章丘区文博路2号
齐鲁师范学院 genelibs生信实验室
山东省济南市高新区舜华路750号
大学科技园北区F座4单元2楼
电话: 0531-88819269