ArticleOncology letters2019
Screening and identification of key biomarkers in adrenocortical carcinoma based on bioinformatics analysis.
Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Adrenocortical carcinoma survival gene HMMR was identified as being targeted by fluorouracil and epirubicin using a gene coexpression network-based drug repositioning strategy.Scientific reports · 2025Article
- Apolipoprotein C1 and apoprotein E as potential therapeutic and prognostic targets for adrenocortical carcinoma.Cancer biomarkers : section A of Disease markers · 2025Article
- Comprehensive analysis ofTranslational andrology and urology · 2024Article
- Wnt/β-catenin signaling pathway in the tumor progression of adrenocortical carcinoma.Frontiers in endocrinology · 2023Review
- Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.Frontiers in molecular biosciences · 2023Article
- Metadata analysis to explore hub of the hub-genes highlighting their functions, pathways and regulators for cervical cancer diagnosis and therapies.Discover oncology · 2022Article
- A pan-cancer analysis of GINS complex subunit 4 to identify its potential role as a biomarker in multiple human cancers.American journal of cancer research · 2022Article
- The Role of Biomarkers in Adrenocortical Carcinoma: A Review of Current Evidence and Future Perspectives.Biomedicines · 2021Review
- Future Directions in Diagnosis, Prognosis and Disease Monitoring of Adrenocortical Carcinoma: Novel Non-Invasive Biomarkers.Frontiers in endocrinology · 2021Review
- Establishment and Validation of a Gene Signature-Based Prognostic Model to Improve Survival Prediction in Adrenocortical Carcinoma Patients.International journal of endocrinology · 2021Article
- Article
- A Targeted Bioinformatics Assessment of Adrenocortical Carcinoma Reveals Prognostic Implications of GABA System Gene Expression.International journal of molecular sciences · 2020Article
- Expression Profile of GINS Complex Predicts the Prognosis of Pancreatic Cancer Patients.OncoTargets and therapy · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adrenocortical carcinoma (ACC) is a rare malignancy with a poor prognosis. The presently available understanding of the pathogenesis of ACC is incomplete and the treatment options for patients with ACC are limited. Gene marker identification is required for accurate and timely diagnosis of the disease. In order to identify novel candidate genes associated with the occurrence and progression of ACC, the microarray datasets, GSE12368 and GSE19750, were obtained from Gene Expression Omnibus. Differentially expressed genes (DEGs) were identified, and functional enrichment analysis was performed. A protein-protein interaction network (PPI) was constructed to identify significantly altered modules, and module analysis was performed using Search Tool for the Retrieval of Interacting Genes and Cytoscape. A total of 228 DEGs were screened, consisting of 29 up and 199 downregulated genes. The enriched functions and pathways of the DEGs primarily included 'cell division', 'regulation of transcription involved in G1/S transition of mitotic cell cycle', 'G1/S transition of mitotic cell cycle', 'p53 signaling pathway' and 'oocyte meiosis'. A total of 14 hub genes were identified, and biological process analysis revealed that these genes were significantly enriched in cell division and mitotic cell cycle. Furthermore, survival analysis revealed that
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