Integrative molecular bioinformatics study of human adrenocortical tumors: microRNA, tissue-specific target prediction, and pathway analysis
Open accessAbstract
MicroRNAs (miRs) are involved in the pathogenesis of several neoplasms; however, there are no data on their expression patterns and possible roles in adrenocortical tumors. Our objective was to study adrenocortical tumors by an integrative bioinformatics analysis involving miR and transcriptomics profiling, pathway analysis, and a novel, tissue-specific miR target prediction approach. Thirty-six tissue samples including normal adrenocortical tissues, benign adenomas, and adrenocortical carcinomas (ACC) were studied by simultaneous miR and mRNA profiling. A novel data-processing software was used to identify all predicted miR-mRNA interactions retrieved from PicTar, TargetScan, and miRBase. Tissue-specific target prediction was achieved by filtering out mRNAs with undetectable expression and searching for mRNA targets with inverse expression alterations as their regulatory miRs. Target sets and significant microarray data were subjected to Ingenuity Pathway Analysis. Six miRs with significantly different expression were found. miR-184 and miR-503 showed significantly higher, whereas miR-511 and miR-214 showed significantly lower expression in ACCs than in other groups. Expression of miR-210 was significantly lower in cortisol-secreting adenomas than in ACCs. By calculating the difference between dCT(miR-511) and dCT(miR-503) (delta cycle threshold), ACCs could be distinguished from benign adenomas with high sensitivity and specificity. Pathway analysis revealed the possible involvement of G2/M checkpoint damage in ACC pathogenesis. To our knowledge, this is the first report describing miR expression patterns and pathway analysis in sporadic adrenocortical tumors. miR biomarkers may be helpful for the diagnosis of adrenocortical malignancy. This tissue-specific target prediction approach may be used in other tumors too.
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Examination of 36 adrenocortical samples revealed differential expression of 22 miRNAs, with 14 miRNAs preferentially expressed in ACCs.
“The examination of 36 adrenocortical samples (10 normal tissues, 10 nonfunctional ACAs, 9 cortisol-secreting adenomas, and 7 ACCs) revealed differential expression of 22 miRNAs, with 14 miRNAs preferentially expressed in ACCs.”
From Adrenocortical carcinoma (2014) · cites this paper as [197]
Upregulated miRNAs in ACCs include miR-184, miR-210, and miR-503; downregulated include miR-214, miR-375, and miR-511.
“Upregulated miRNAs in ACCs included miR-184, miR-210, and miR-503. Downregulated miRNAs included miR-214, miR-375, and miR-511 (197).”
From Adrenocortical carcinoma (2014) · cites this paper as [197]
Levels of miR-184, miR-503, and miR-511 alone can distinguish benign from malignant adrenal tumors (specificity 80-97%, sensitivity 100%).
“Levels of miR-184, miR-503, and miR-511 alone were able to distinguish benign from malignant adrenal tumors (specificity, 80%–97%; sensitivity, 100%) (197).”
From Adrenocortical carcinoma (2014) · cites this paper as [197]
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- Authors
- Tömböl, Z., Szabó, P. M., Molnár, V., Wiener, Z., Tölgyesi, G., Horányi, J., Riesz, P., Reismann, P., Patócs, A., Likó, I., Gaillard, R.-C., Falus, A., Rácz, K., & Igaz, P.
- Affiliations
- Semmelweis University (HU)
- Venue
- Endocrine Related Cancer
- Publisher
- Bioscientifica
- Published
- 2009-09
- Volume
- 16
- Issue
- 3
- Pages
- 895-906
- ISSN
- 1351-0088 (ISSN-L)
- 1479-6821
- OpenAlex
- W2047078419
- Cited by
- 176
- References
- 48
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 3 · 2022: 11 · 2021: 11 · 2020: 8 · 2019: 6 · 2018: 14 · 2017: 11 · 2016: 14 · 2015: 22 · 2014: 22 · 2013: 19 · 2012: 9
- FWCI
- 9.78
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Endocrine Related Cancer (publishedVersion)
- PubMed (publishedVersion)
- IRIS (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Funders
- Semmelweis Egyetem
- Fonds De La Recherche Scientifique - FNRS
- Hungarian Scientific Research Fund
- Topics
- Health Sciences › Medicine › Surgery › Adrenal and Paraganglionic Tumors
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- adrenocortical tumors, adrenocortical carcinoma, adrenal adenoma, microRNA expression, miRNA target prediction, miRNA-mRNA interactions, miR-503, miR-214, miR-184, miR-210, G2/M checkpoint, diagnostic biomarkers, integrative bioinformatics
- MeSH terms
- Adenoma, Adrenal Cortex Neoplasms, Adult, Algorithms, Female, Forecasting, Humans, Male, Middle Aged, Models, Biological, Organ Specificity, Biomarkers, Tumor, Signal Transduction, Gene Expression Regulation, Neoplastic, Drug Delivery Systems, Adrenocortical Carcinoma, Computational Biology, Gene Expression Profiling, MicroRNAs
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