4.8 Article

Identification of m6A-and ferroptosis-related lncRNA signature for predicting immune efficacy in hepatocellular carcinoma

Journal

FRONTIERS IN IMMUNOLOGY
Volume 13, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2022.914977

Keywords

long noncoding RNA pairs; N6-methyladenosine (m6A) methylation; ferroptosis; hepatocellular carcinoma; immune efficacy

Categories

Funding

  1. National Natural Science Foundation of China
  2. China Postdoctoral Science Foundation
  3. Jiangsu Postdoctoral Science Foundation
  4. General Project of Jiangsu Provincial Health Committee
  5. [81401988]
  6. [2019M661907]
  7. [2019K159]
  8. [2019Z153]
  9. [H2019101]

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This study reveals the predictive value of m6A- and ferroptosis-related lncRNAs (mfrlncRNAs) in terms of immune efficacy in hepatocellular carcinoma (HCC). The mfrlncRNA signature constructed in this study can serve as an independent prognostic factor for HCC patients and provide important clues for individualized therapy.
BackgroundN6-methyladenosine (m6A) methylation and ferroptosis assist long noncoding RNAs (lncRNAs) in promoting immune escape in hepatocellular carcinoma (HCC). However, the predictive value of m6A- and ferroptosis-related lncRNAs (mfrlncRNAs) in terms of immune efficacy remains unknown. MethodA total of 365 HCC patients with complete data from The Cancer Genome Atlas (TCGA) database were used as the training cohort, and half of them were randomly selected as the validation cohort. A total of 161 HCC patients from the International Cancer Genome Consortium (ICGC) database were used as external validation (ICGC cohort). ResultsWe first identified a group of specific lncRNAs associated with both m6A regulators and ferroptosis-related genes and then constructed prognosis-related mfrlncRNA pairs. Based on this, the mfrlncRNA signature was constructed using the least absolute shrinkage and selection operator (LASSO) analysis and Cox regression. Notably, the risk score of patients was proven to be an independent prognostic factor and was better than the TNM stage and tumor grade. Moreover, patients with high-risk scores had lower survival rates, higher infiltration of immunosuppressive cells (macrophages and Tregs), lower infiltration of cytotoxic immune cells (natural killer cells), poorer immune efficacy (both immunophenoscore and score of tumor immune dysfunction and exclusion), higher IC50, and enrichment of the induced Treg pathway, which confirmed that the mfrlncRNA signature contributed to survival prediction and risk stratification of patients with HCC. ConclusionsThe mfrlncRNA signature, which has great prognostic value, provides new clues for identifying cold and hot tumors and might have crucial implications for individualized therapy to improve the survival rate of patients with HCC.

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