Ming Ren, Hongyan Ma, Lijia Guo, Yuqing Liu, Li Wang, Shaoting Wei
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Single-cell RNA Sequencing Demonstrates the Heterogeneity of Different Molecular Subtypes in Gastric Cancer.
Gastric cancer is a disease with high molecular and phenotypic heterogeneity. We integrated 119,878 cells from different molecular subtypes of gastric cancer and conducted comprehensive analysis. We found that patients with different molecular subtypes of gastric cancer showed significantly different cell composition heterogeneity, and the proportion of plasma cells was higher in GS tumors. After that, we constructed subtype-specific lncRNA-gene regulatory networks and identified subtype-specific lncRNA-related biological functions and pathways. Our study found that MALAT1-CTNNB1 regulatory pairs existed in CIN subtype, XIST-KLF2 regulatory pairs existed in GS subtype, and KCNQ1OT1-CCND2 regulatory pairs existed in MSI subtype. Next, we identified subtype-specific lncRNAs associated with prognosis. Our study found that NEAT1 could be used as prognostic factors for CIN tumors, and MALAT1 and XIST could be used as prognostic factors for GS tumors. In addition, we characterized the interactions between tumor cells and tumor microenvironment cells in different molecular subtypes of gastric cancer. In conclusion, we revealed the heterogeneity among different TCGA molecular subtypes of gastric cancer at the single-cell level, and identified the subtype-specific lncRNAs associated with prognosis. Our study may contribute to the in-depth understanding of the heterogeneity of gastric cancer and the prediction of patient prognosis.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.