High-Mobility Group AT-Hook 1 Served as a Prognosis Biomarker and Associated with Immune Infiltrate in Hepatocellular Carcinoma

• Published in: International journal of general medicine Vol. 15; pp. 609 - 621
• Main Authors: Wei, Yong-Guang, Yang, Cheng-Kun, Wei, Zhong-Liu, Liao, Xi-Wen, He, Yong-Fei, Zhou, Xin, Huang, Hua-Sheng, Lan, Chen-Lu, Han, Chuang-Ye, Peng, Tao
• Format: Journal Article
• Language: English
• Published: New Zealand Dove Medical Press Limited 01.01.2022; Taylor & Francis Ltd; Dove; Dove Medical Press
• Subjects: Apoptosis; B cells; bioinformatics; Datasets; Dendritic cells; Development and progression; Gene expression; Genes; Genomics; Hepatitis; hepatocellular carcinoma; Hepatoma; hmga1; immune filtration; Immunotherapy; Liver cancer; Medical prognosis; Metastasis; Original Research; prognostic signature; Protein expression; Proteins; Survival analysis; T cells; Tumor proteins; Type 2 diabetes; China; HMGA1; immune filtration; hepatocellular carcinoma; bioinformatics; prognostic signature
• ISSN: 1178-7074; 1178-7074
• DOI: 10.2147/IJGM.S344858

The protein high-mobility group AT-hook 1 (HMGA1) has been demonstrated that modulated cellular proliferation, invasion, and apoptosis with a poor prognosis in miscellaneous carcinomas. However, the mechanism of circumstantial carcinogenesis and association with the immune microenvironment of HMGA1 in hepatocellular carcinoma (HCC) had not been extensively explored. The gene expression, clinicopathological correlation, and prognosis analysis were performed in the data obtained from TCGA. The results were further validated by ICGC and GEO database and external validation cohort from Guangxi. The HMGA1 protein expression was further examined in the HPA database. Biological function analyses were conducted by GSEA, STRING database, and Coexpedia online tool. Using TIMER and CIBERSORT method, the relationship between immune infiltrate and HMGA1 was investigated. In HCC, HMGA1 had much higher transcriptional and proteomic expression than in corresponding paraneoplastic tissue. Patients with high HMGA1 expression had a poor prognosis and unpromising clinicopathological features. High HMGA1 expression was closely related to the cell cycle, tumorigenesis, substance metabolism, and immune processes by regulating complex signaling pathways. Notably, HMGA1 may be associated with TP53 mutational carcinogenesis. Moreover, increased HMGA1 expression may lead to an increase in immune infiltration and a decrease in tumor purity in HCC. CIBERSORT analysis elucidated that the amount of B cell naive, B cell memory, T cells gamma delta, macrophages M2, and mast cell resting decreased when HMGA1 expression was high, whereas T cells follicular helper, macrophages M0, and Dendritic cells resting increased. In conclusions, HMGA1 is a potent prognostic biomarker and a sign of immune infiltration in HCC, which may be a potential immunotherapy target for HCC.