Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients

Cells. 2022 Oct 31;11(21):3436. doi: 10.3390/cells11213436.

Abstract

In terms of mortality and survival, pancreatic cancer is one of the worst malignancies. Known as a unique type of programmed cell death, cuprotosis contributes to tumor cell growth, angiogenesis, and metastasis. Cuprotosis programmed-cell-death-related lncRNAs (CRLs) have been linked to PAAD, although their functions in the tumor microenvironment and prognosis are not well understood. This study included data from the TCGA-PAAD cohort. Random sampling of PAAD data was conducted, splitting the data into two groups for use as a training set and test set (7:3). We searched for differentially expressed genes that were substantially linked to prognosis using univariate Cox and Lasso regression analysis. Through the use of multivariate Cox proportional risk regression, a risk-rating system for prognosis was developed. Correlations between the CRL signature and clinicopathological characteristics, tumor microenvironment, immunotherapy response, and chemotherapy sensitivity were further evaluated. Lastly, qRT-PCR was used to compare CRL expression in healthy tissues to that in tumors. Some CRLs are thought to have strong correlations with PAAD outcomes. These CRLs include AC005332.6, LINC02041, LINC00857, and AL117382.1. The CRL-based signature construction exhibited outstanding predictive performance and offers a fresh approach to evaluating pre-immune effectiveness, paving the way for future studies in precision immuno-oncology.

Keywords: PAAD; cuprotosis; immunotherapy; prognostic signature; programmed cell death; tumor microenvironment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Apoptosis* / genetics
  • Copper* / metabolism
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Pancreatic Neoplasms* / genetics
  • Pancreatic Neoplasms* / pathology
  • RNA, Long Noncoding* / genetics
  • RNA, Long Noncoding* / metabolism
  • Tumor Microenvironment / genetics

Substances

  • RNA, Long Noncoding
  • Copper

Grants and funding

This study was supported by grants from Luzhou Applied Basic Research Projects (No: 22YYJC0026), Southwest Medical University (No. 2020XSJG-C01-21) and the Key Research and Development Project of the Science & Technology Department of Sichuan Province (No. 2021YFS0231).