Analysis of Survival-Related lncRNA Landscape Identifies A Role for LINC01537 in Energy Metabolism and Lung Cancer Progression

International Journal of Molecular Sciences
Wei GongJiachun Lu

Abstract

Many long non-coding RNAs (lncRNAs) have emerged as good biomarkers and potential therapeutic targets for various cancers. We aimed to get a detailed understanding of the lncRNA landscape that is associated with lung cancer survival. A comparative analysis between our RNA sequencing (RNA-seq) data and TCGA datasets was conducted to reveal lncRNAs with significant correlations with lung cancer survival and then the association of the most promising lncRNA was validated in a cohort of 243 lung cancer patients. Comparing RNA-seq data with TCGA ones, 84 dysregulated lncRNAs were identified in lung cancer tissues, among which 10 lncRNAs were significantly associated with lung cancer survival. LINC01537 was the most significant one (p = 2.95 × 10-6). Validation analysis confirmed the downregulation of LINC01537 in lung cancer. LINC01537 was observed to inhibit tumor growth and metastasis. It also increased cellular sensitivity to nilotinib. PDE2A (phosphodiesterase 2A) was further identified to be a target of LINC01537 and it was seen that LINC01537 promoted PDE2A expression via RNA-RNA interaction to stabilize PDE2A mRNA and thus echoed effects of PDE2A on energy metabolism including both Warburg effect and mitochondrial respiration...Continue Reading

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Citations

Mar 1, 2020·Experimental and Molecular Pathology·Soudeh Ghafouri-FardMohammad Taheri
Dec 6, 2020·Journal of Hematology & Oncology·Mingye HongHua Zhang
Oct 31, 2020·Frontiers in Oncology·Soudeh Ghafouri-FardMohammad Taheri
Aug 26, 2021·Technology in Cancer Research & Treatment·Peng HuangLinjiang Song

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Methods Mentioned

BETA
RNA-seq
flow cytometry
Xenografts
Assay
transfection

Software Mentioned

timeROC
BLAST
R
siDirect
DESeq2
IntraRNA
CPATool
MTT

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