Identification of cuproptosis-related lncRNAs to predict prognosis and immune infiltration characteristics in alimentary tract malignancies

• Main Authors: Du, D. (Author), Huang, H. (Author), Ni, Z. (Author), Song, X. (Author), Xie, Y. (Author)
• Format: Article
• Language: English
• Published: BioMed Central Ltd 2023
• Subjects: Alimentary tract; Alimentary tract malignancies; Alimentary tract malignancy; calibration; Calibration; Calibration curves; Cancer genome; cell death; Cell death; Cell Death; Cuproptosis; Databases, Factual; Diagnosis; factual database; Forecasting; Gene expression; genetics; human; Humans; Immune infiltration; Infiltration characteristic; Long non-coding RNA; long untranslated RNA; neoplasm; Neoplasms; Prognose; Prognosis; Receiver operating characteristic curves; Risk assessment; RNA, Long Noncoding
• Online Access: View Fulltext in Publisher; View in Scopus

 Background: Alimentary tract malignancies (ATM) caused nearly one-third of all tumor-related death. Cuproptosis is a newly identified cell death pattern. The role of cuproptosis-associated lncRNAs in ATM is unknown. Method: Data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to identify prognostic lncRNAs by Cox regression and LASSO. Then a predictive nomogram was constructed based on seven prognostic lncRNAs. In addition, the prognostic potential of the seven-lncRNA signature was verified via survival analysis, the receiver operating characteristic (ROC) curve, calibration curve, and clinicopathologic characteristics correlation analysis. Furthermore, we explored the associations between the signature risk score and immune landscape, and somatic gene mutation. Results: We identified 1211 cuproptosis-related lncRNAs and seven survival-related lncRNAs. Patients were categorized into high-risk and low-risk groups with significantly different prognoses. ROC and calibration curve confirmed the good prediction capability of the risk model and nomogram. Somatic mutations between the two groups were compared. We also found that patients in the two groups responded differently to immune checkpoint inhibitors and immunotherapy. Conclusion: The proposed novel seven lncRNAs nomogram could predict prognosis and guide treatment of ATM. Further research was required to validate the nomogram. © 2023, The Author(s).