Identification of endoplasmic reticulum stress-related lncRNAs in lung adenocarcinoma by bioinformatics and experimental validation

Abstract

Background

Endoplasmic reticulum stress (ERs) is an important cellular self-defence mechanism, which is closely related to tumorigenesis and development. However, the role of endoplasmic reticulum stress state in the development of lung adenocarcinoma (LUAD) has not been clarified.

Methods

The lncRNAs associated with endoplasmic reticulum stress were identified by co-expression analysis in public databases, and by the least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression modelling, we constructed a prognostic model based on endoplasmic reticulum stress-related lncRNAs (ERs-related lncRNAs), performed immune analysis, TME, TMB and clinical drug prediction for model-related risk scores, and performed correlation validation in public databases and at the human tissue level.

Results

Five ERs-related lncRNAs were used to construct an ERs-related lncRNA signature (ERs-related LncSig), which can predict the prognosis of LUAD. Patients in the high-risk group had worse survival, and differences existed in immune cell infiltration, immune function, immune checkpoint analysis, tumour microenvironment (TME), tumour mutational burden (TMB), immunotherapy efficacy, and sensitivity to some commonly used chemotherapeutic agents between high and low risk groups.

Conclusion

Our study demonstrated that ERs-related lncRNA signature can be used for the prognostic evaluation of LUAD patients and may provide new insights into clinical decision-making and personalised medicine for LUAD.

Keywords:

• Endoplasmic reticulum stress
• prognosis
• LncRNAs
• lung adenocarcinoma

Authors’ contributions

Contributions: Conception and design: T Xin, Y Sun. Administrative support: J Hu, M Cao. Provision of study materials or patients: H Meng. Collection and assembly of data: N Zhang, X Yang. Data analysis and interpretation: T Xin, Y Sun, B Peng. Manuscript writing: All authors. Final approval of manuscript: All authors.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

All data will be provided upon request to the corresponding author.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (81972162); Natural Science Fund for Outstanding Youth of Heilongjiang Province grant (YQ2019H026); Postdoctoral Scientific Research Staring Fund of Heilongjiang Province grant (LBH-Q19042); Outstanding Youth Fund Project of Harbin Medical University Cancer Hospital (JCQN2020-01).