Identification of cancer stem cell-related biomarkers in intestinal-type and diffuse-type gastric cancer by stemness index and weighted correlation network analysis

• Published in: Journal of translational medicine 2020-11, Vol.18 (1), p.418-14, Article 418
• Main Authors: Guo, Rui, Chu, Aining, Gong, Yuehua
• Format: Article
• Language: English
• Subjects: Age; Biological markers; Biomarkers; Cancer cell stemness; Cancer cells; Care and treatment; Cell adhesion & migration; Cell cycle; Colorectal cancer; Development and progression; Diffuse-type gastric cancer; Drug resistance; Gastric cancer; Gender; Gene expression; Genes; Genetic aspects; Genomes; Health aspects; Humans; Identification and classification; Intestinal-type gastric cancer; Intestine; Medical prognosis; Medical research; Messenger RNA; Metastases; mRNAsi; Neoplasm Recurrence, Local; Neoplastic Stem Cells; Regression analysis; RNA-Seq; Statistical analysis; Stem cells; Stomach cancer; Stomach Neoplasms - genetics; Survival analysis; Tumors; WGCNA
• ISSN: 1479-5876; 1479-5876
• DOI: 10.1186/s12967-020-02587-3

Cancer stem cells (CSCs) play an important role in drug resistance, recurrence, and metastasis of tumors. Considering the heterogeneity of tumors, this study aimed to explore the key genes regulating stem cells in intestinal-type and diffuse-type gastric cancer. RNA-seq data and related clinical information were downloaded from The Cancer Genome Atlas (TCGA). WGCNA was used to clustered differentially expressed genes with similar expression profiles to form modules. Furtherly, based on the mRNA expression-based stemness index (mRNAsi), significant modules and key genes were identified. Next, the expression of key genes was further verified by the Oncomine database. MRNAsi scores of GC were significantly higher than that of normal tissue. Additionally, mRNAsi scores of intestinal-type GC (IGC) were significantly higher than that of diffuse-type GC (DGC). WGCNA showed that the blue module of IGC and the brown module of DGC were both the most significantly associated with mRNAsi. We screened out 16 and 43 key genes for IGC and DGC and found that these genes were closely related, respectively. Functional analysis showed the relationship between the key genes confirmed in the Oncomine database and the fate of cells. In this study, 16 and 43 genes related to the characteristics of CSCs were identified in IGC and DGC, respectively. These genes were both associated with cell cycle, which could serve as therapeutic targets for the inhibition of stem cells from both types of GC.