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Development of a Ferroptosis-Related lncRNA Signature to Predict the Prognosis and Immune Landscape of Bladder Cancer.

Abstract
The tight relationship between ferroptotic cell death and immune response demonstrated by recent studies enlightened us to detect the underlying roles of ferroptosis-related long noncoding RNAs (frlncRNAs) in the tumor microenvironment of bladder cancer (BCa). We collected 121 ferroptosis regulators from previous studies. Based on their expression values, 408 cases with BCa were clustered. The patients in different clusters showed diverse immune infiltration, immunotherapy response, and chemotherapy effectiveness, revalidating the tight correlation with ferroptosis and tumor immunity. Through differential, coexpression, Kaplan-Meier, Lasso, and Cox analysis, we developed a 22-lncRNA-pair signature to predict the prognosis of BCa based on gene-pair strategy, where there is no need for definite expression values. The areas under the curves are all over 0.8. The risk model also helped to predict immune infiltration, immunotherapeutic outcomes, and chemotherapy sensitivity. Totally, the prognostic assessment model indicated a promising predictive value, also providing clues for the interaction between ferroptosis and BCa immunity.
AuthorsRanran Zhou, Jingjing Liang, Hu Tian, Qi Chen, Cheng Yang, Cundong Liu
JournalDisease markers (Dis Markers) Vol. 2021 Pg. 1031906 ( 2021) ISSN: 1875-8630 [Electronic] United States
PMID34239619 (Publication Type: Journal Article)
CopyrightCopyright © 2021 Ranran Zhou et al.
Chemical References
  • Antineoplastic Agents
  • Biomarkers, Tumor
  • RNA, Long Noncoding
Topics
  • Adult
  • Aged
  • Aged, 80 and over
  • Antineoplastic Agents (therapeutic use)
  • Area Under Curve
  • Biomarkers, Tumor (genetics, immunology)
  • Clinical Decision Rules
  • Female
  • Ferroptosis (genetics)
  • Follow-Up Studies
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Immunotherapy
  • Male
  • Middle Aged
  • Prognosis
  • RNA, Long Noncoding (metabolism)
  • Risk Assessment
  • Survival Analysis
  • Transcriptome
  • Tumor Microenvironment (genetics, immunology)
  • Urinary Bladder Neoplasms (drug therapy, genetics, immunology, mortality)

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