A prognostic risk model based on lactate metabolism and transport-related lncRNAs for gastric adenocarcinoma

Abstract

Background

Increased lactate levels and metastasis in tumours are strongly associated with dismal outcomes. But prognostic value of lactate metabolism and transport-related lncRNAs in gastric adenocarcinoma (GA) patients remains unaddressed.

Methods

Gene expression data of GA were provided by The Cancer Genome Atlas. Lactate metabolism and transport-related gene data were accessed from GSEA. LncRNAs related to lactate metabolism and transport were identified by correlation analysis. A prognostic model was built by regression analysis. Validity of prognostic model was confirmed through survival analysis and receiver operating characteristic (ROC) curve. Immunity of each risk group was evaluated by immune correlation analysis .LncRNA-mRNA network was built by correlation analysis using Cytoscape software.

Results

A 12-gene prognostic model based on lactate metabolism and transport-related lncRNAs was built in GA. Median riskscore was utilized to classify GA samples into high- and low-risk groups. Survival analysis and ROC curves demonstrated validity of prognostic model. Most immune checkpoint molecules and TIDE scores were lower in the low-risk group. LINC01303 and LINC01545 may be the key prognostic factors in patients with GA.

Conclusion

This study successfully built a prognostic model of lactate metabolism and transport-related lncRNAs in GA. The findings guide prognostic management of GA patients.

Keywords:

• Gastric adenocarcinoma
• lactate metabolism and transport
• lncRNA
• prognosis
• immune analysis

Authors’ contributions

ZY Q and F W conceived and designed the study. XF C, JZ W and K, K collected the data. WF L, GQ F and ZY Y analyzed and interpreted the data. GX X contributed to the manuscript writing and editing. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The study was approved by the ethics committee of Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College. The methods were carried out in accordance with the approved guidelines. Written informed consent was obtained prior to the study.

Declaration of conflicting interests

The authors declare that they have no competing interests.

Data availability statement

The data used to support the findings of this study are available from the corresponding author upon request.

Additional information

Funding

This research was supported by Natural Science Foundation of Zhejiang Province under grant number LY21H160053; Key Research Fund of Hangzhou Medical College under grant number KYZD2023011.