2021
DOI: 10.3389/fcell.2021.645482
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Glycolysis Define Two Prognostic Subgroups of Lung Adenocarcinoma With Different Mutation Characteristics and Immune Infiltration Signatures

Abstract: Increasing studies have proved that malignant tumors are associated with energy metabolism. This study was aimed to explore biological variables that impact the prognosis of patients in the glycolysis-related subgroups of lung adenocarcinoma (LUAD). The mRNA expression profiling and mutation data in large LUAD samples were collected from the Cancer Genome Atlas (TCGA) database. Then, we identified the expression level and prognostic value of glycolysis-related genes, as well as the fractions of 22 immune cells… Show more

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Cited by 3 publications
(2 citation statements)
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References 36 publications
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“…Hsa-miR-543 promotes tumorigenesis and angiogenesis in non-small cell lung cancer [ 59 ]. Hsa-miR-331-3p is associated with prognostic value in lung adenocarcinoma [ 60 ]. This suggested that LINC02126 may play important roles in the development of lung adenocarcinoma by regulating the expression of DCN, COX7A1, PLAC9, LUM and MFAP4.…”
Section: Discussionmentioning
confidence: 99%
“…Hsa-miR-543 promotes tumorigenesis and angiogenesis in non-small cell lung cancer [ 59 ]. Hsa-miR-331-3p is associated with prognostic value in lung adenocarcinoma [ 60 ]. This suggested that LINC02126 may play important roles in the development of lung adenocarcinoma by regulating the expression of DCN, COX7A1, PLAC9, LUM and MFAP4.…”
Section: Discussionmentioning
confidence: 99%
“…The molecular signature dataset (MSigDB, http://www.broad.mit.edu/gsea/msigdb/) is a repository of annotated gene sets for Gene Set Enrichment Analysis. Four glycolysis-associated gene sets were extracted, containing KEGG GLYCOLYSIS GLUCONEOGENESIS, BIOCARTA GLYCOLYSIS PATHWAY, HALLMARK GLYCOLYSIS, and REACTOME GLYCOLYSIS [13] (Supplementary Table S1, Supplemental Digital Content, http://links.lww.com/MD/I688). An aggregate of 255 glycolysis-associated genes was retrieved from MSigDB, which offers gene annotations in great depth.…”
Section: Methodsmentioning
confidence: 99%