Esophageal squamous cell carcinoma (ESCC), the most prevalent subtype of
esophageal cancer, ranks sixth in
cancer-related mortality, making it one of the deadliest
cancers worldwide. The identification of potential risk factors for ESCC might help in implementing precision
therapies. Autophagy-related lncRNAs are a group of non-coding RNAs that perform critical functions in the
tumor immune microenvironment and therapeutic response. Therefore, we aimed to establish a risk model composed of autophagy-related lncRNAs that can serve as a potential
biomarker for ESCC risk stratification. Using the
RNA expression profile from 179 patients in the GSE53622 and GSE53624 datasets, we found 11 lncRNAs (AC004690.2, AC092159.3, AC093627.4, AL078604.2,
BDNF-AS, HAND2-AS1, LINC00410, LINC00588, PSMD6-AS2, ZEB1-AS1, and LINC02586) that were co-expressed with autophagy genes and were independent prognostic factors in multivariate Cox regression analysis. The risk model was constructed using these autophagy-related lncRNAs, and the area under the receiver operating characteristic curve (AUC) of the risk model was 0.728. To confirm that the model is reliable, the data of 174 patients from The
Cancer Genome Atlas (TCGA)
esophageal cancer dataset were analyzed as the testing set. A nomogram for ESCC prognosis was developed using the risk model and clinic-pathological characteristics. Immune function annotation and
tumor mutational burden of the two risk groups were analyzed and the high-risk group displayed higher sensitivity in
chemotherapy and
immunotherapy. Expression of differentially expressed lncRNAs were further validated in human normal esophageal cells and
esophageal cancer cells. The constructed
lncRNA risk model provides a useful tool for stratifying risk and predicting the prognosis of patients with ESCC, and might provide novel targets for ESCC treatment.