4.8 Article

Classifying gastric cancer using FLORA reveals clinically relevant molecular subtypes and highlights LINC01614 as a biomarker for patient prognosis

Journal

ONCOGENE
Volume 40, Issue 16, Pages 2898-2909

Publisher

SPRINGERNATURE
DOI: 10.1038/s41388-021-01743-3

Keywords

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Funding

  1. NSFC Excellent Young Scientists Fund (Hong Kong and Macau) [31922088]
  2. HK CRF [C4039-19GF, C7065-18GF]
  3. Hong Kong Epigenomics Project [LKCCFL18SC01-E]
  4. HK ITC grant [ITCPD/17-9]
  5. Department of Science and Technology of Guangdong Province [2020A0505090007]
  6. HK RGC-CRF Fund [C6021-19EF]

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A molecular subtype of gastric cancer based on long non-coding RNA analysis has been proposed, with three subtypes identified, including L3 subtype associated with intestinal gastric cancer and poor survival outcomes, characterized by TP53 mutations, chromatin instability, hypomethylation, and over-expression of oncogenic long non-coding RNAs.
Molecular-based classifications of gastric cancer (GC) were recently proposed, but few of them robustly predict clinical outcomes. While mutation and expression signature of protein-coding genes were used in previous molecular subtyping methods, the noncoding genome in GC remains largely unexplored. Here, we developed the fast long-noncoding RNA analysis (FLORA) method to study RNA sequencing data of GC cases, and prioritized tumor-specific long-noncoding RNAs (lncRNAs) by integrating clinical and multi-omic data. We uncovered 1235 tumor-specific lncRNAs, based on which three subtypes were identified. The lncRNA-based subtype 3 (L3) represented a subgroup of intestinal GC with worse survival, characterized by prevalent TP53 mutations, chromatin instability, hypomethylation, and over-expression of oncogenic lncRNAs. In contrast, the lncRNA-based subtype 1 (L1) has the best survival outcome, while LINC01614 expression further segregated a subgroup of L1 cases with worse survival and increased chance of developing distal metastasis. We demonstrated that LINC01614 over-expression is an independent prognostic factor in L1 and network-based functional prediction implicated its relevance to cell migration. Over-expression and CRISPR-Cas9-guided knockout experiments further validated the functions of LINC01614 in promoting GC cell growth and migration. Altogether, we proposed a lncRNA-based molecular subtype of GC that robustly predicts patient survival and validated LINC01614 as an oncogenic lncRNA that promotes GC proliferation and migration.

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