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Whole-transcriptome defines novel glucose metabolic subtypes in colorectal cancer.
Li, Shaohua; Fang, Wei; Zheng, Jianfeng; Peng, Zhiqiang; Yu, Biyue; Chen, Chunhui; Zhang, Yuting; Jiang, Wenli; Yuan, Shuhui; Zhang, Lingqiang; Zhang, Xueli.
Affiliation
  • Li S; The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China.
  • Fang W; Department of General Surgery, Southern Medical University Affiliated Fengxian Central Hospital, Shanghai, China.
  • Zheng J; The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China.
  • Peng Z; Department of General Surgery, Southern Medical University Affiliated Fengxian Central Hospital, Shanghai, China.
  • Yu B; The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China.
  • Chen C; Department of General Surgery, Southern Medical University Affiliated Fengxian Central Hospital, Shanghai, China.
  • Zhang Y; State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China.
  • Jiang W; School of Life Sciences, Hebei University, Baoding, China.
  • Yuan S; State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China.
  • Zhang L; School of Life Sciences, Hebei University, Baoding, China.
  • Zhang X; School of Life Sciences, Hebei University, Baoding, China.
J Cell Mol Med ; 28(5): e18065, 2024 Mar.
Article in En | MEDLINE | ID: mdl-38116696
ABSTRACT
Colorectal cancer (CRC) is the most prevalent malignancy of the digestive system. Glucose metabolism plays a crucial role in CRC development. However, the heterogeneity of glucose metabolic patterns in CRC is not well characterized. Here, we classified CRC into specific glucose metabolic subtypes and identified the key regulators. 2228 carbohydrate metabolism-related genes were screened out from the GeneCards database, 202 of them were identified as prognosis genes in the TCGA database. Based on the expression patterns of the 202 genes, three metabolic subtypes were obtained by the non-negative matrix factorization clustering method. The C1 subtype had the worst survival outcome and was characterized with higher immune cell infiltration and more activation in extracellular matrix pathways than the other two subtypes. The C2 subtype was the most prevalent in CRC and was characterized by low immune cell infiltration. The C3 subtype had the smallest number of individuals and had a better prognosis, with higher levels of NRF2 and TP53 pathway expression. Secreted frizzled-related protein 2 (SFRP2) and thrombospondin-2 (THBS2) were confirmed as biomarkers for the C1 subtype. Their expression levels were elevated in high glucose condition, while their knockdown inhibited migration and invasion of HCT 116 cells. The analysis of therapeutic potential found that the C1 subtype was more sensitive to immune and PI3K-Akt pathway inhibitors than the other subtypes. To sum up, this study revealed a novel glucose-related CRC subtype, characterized by SFRP2 and THBS2, with poor prognosis but possible therapeutic benefits from immune and targeted therapies.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colorectal Neoplasms / Gene Expression Regulation, Neoplastic / Transcriptome / Glucose Limits: Humans Language: En Journal: J Cell Mol Med / J. cell. mol. med / Journal of cellular and molecular medicine Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colorectal Neoplasms / Gene Expression Regulation, Neoplastic / Transcriptome / Glucose Limits: Humans Language: En Journal: J Cell Mol Med / J. cell. mol. med / Journal of cellular and molecular medicine Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido