Emerging evidences have shown that the high-mobility group protein A2 (HMGA2) can aberrantly express in human cancers, and it could be an unfavorable prognostic factor in cancer patients. However, the prognostic value of HMGA2 was still unclear. Therefore, in this study, we explored the potential prognostic value of HMGA2 in human cancers by using meta-analysis based on published literatures and The Cancer Genome Atlas (TCGA) datasets. Through searching PubMed, Embase, Web of Science and Cochrane Library databases, we were able to identify the studies evaluating the prognostic value of HMGA2 in cancers. Then, UALCAN and TCGA datasets were used to validate the results of our meta-analysis. In all, 15 types of cancers were included in this meta-analysis. Pooled results showed that high level of HMGA2 was significantly correlated with poor OS (HR = 1.88, 95% confidence interval (CI) = 1.68-2.11, < 0.001) and poor DFS (HR = 2.49, 95% CI = 1.44-4.28, = 0.001) in cancer patients. However, subgroup analyses revealed that the high expressed HMGA2 was associated with poor OS in head and neck cancer, gastric cancer and colorectal cancer, but not esophageal cancer and ovarian cancer. Based on TCGA datasets, we analyzed 9944 patients with 33 types of cancers. Significant association between HMGA2 overexpression and poor OS was found in 14 types of cancers. Taken together, consistent results were observed in clear cell renal cell carcinoma, esophageal adenocarcinoma, head and neck cancer, hepatocellular carcinoma, ovarian carcinoma, and pancreatic ductal adenocarcinoma. Our meta-analysis showed the significance of HMGA2 and its prognostic value in various cancers. High level of HMGA2 could be associated with poor OS in patients with clear cell renal cell carcinoma, head and neck cancer, hepatocellular carcinoma and pancreatic ductal adenocarcinoma, but not esophageal adenocarcinoma and ovarian carcinoma.
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http://dx.doi.org/10.3389/fphys.2018.00776 | DOI Listing |
Biochim Biophys Acta Mol Basis Dis
December 2024
Department of Pathology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China. Electronic address:
Ovarian cancer is the most common type of gynecological malignant tumor, with the highest mortality rate among female genital malignant tumors. In this study, we initially identified forkhead box F1 (FOXF1) as a potential prognostic biomarker of ovarian cancer through bioinformatics analysis. FOXF1 expression was higher in ovarian cancer tissue samples and served as an unfavorable prognostic factor.
View Article and Find Full Text PDFClin Cancer Res
December 2024
Fred Hutchinson Cancer Center, Seattle, WA, United States.
Purpose: To establish HMGA2 as a marker of basal-like disease in pancreatic ductal adenocarcinoma (PDAC) and explore its use as a biomarker for prognosis and treatment resistance.
Experimental Design: We identified high expression of HMGA2 in basal PDAC cells in a scRNAseq Atlas of 172 patient samples. We then analyzed HMGA2 expression, along with expression of the classical marker GATA6, in a cohort of 580 PDAC samples with multiplex immunohistochemistry.
Comput Struct Biotechnol J
December 2024
Key Laboratory of Computer-Aided Drug Design of Dongguan City, The First Dongguan Affiliated Hospital, School of Pharmacy, Guangdong Medical University, Dongguan 523710, China.
Background: Digestive system malignancies, including esophageal carcinoma (ESCA), stomach adenocarcinoma (STAD), liver hepatocellular carcinoma (LIHC), and colon adenocarcinoma (COAD), pose significant global health challenges. Identifying shared and distinct regulatory mechanisms across these cancers can lead to improved therapies. This study aims to construct and compare competing endogenous RNA (ceRNA) networks across ESCA, STAD, LIHC, and COAD to identify RNA biomarkers that could serve as precision therapeutic targets to enhance clinical outcomes and advance personalized cancer care.
View Article and Find Full Text PDFPLoS One
November 2024
Department of Geriatrics, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
The molecular mechanisms underlying hepatocellular carcinoma (HCC) are complex and not fully understood. This study aims to explore the expression and clinical significance of High Mobility Group (HMG) proteins in HCC to identify potential prognostic biomarkers and therapeutic targets. Bioinformatic analyses were performed using data from The Cancer Genome Atlas (TCGA) and other databases.
View Article and Find Full Text PDFCancers (Basel)
November 2024
Guelph College of Biological Science, University of Guelph, Guelph, ON N1G 2W1, Canada.
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