Gene expression profiling of human adrenocortical tumors using complementary deoxyribonucleic acid microarrays identifies several candidate genes as markers of malignancy
Open accessAbstract
The aim of this study was to identify predictor sets of genes whose over- or underexpression in human sporadic adrenocortical tumors would help to identify malignant vs. benign tumors and to predict postsurgical metastatic recurrence. For this, we analyzed the expression of 230 candidate genes using cDNA microarrays in a series of 57 well-characterized human sporadic adrenocortical tumors (33 adenomas and 24 carcinomas). We identified two clusters of genes (the IGF-II cluster containing eight genes, including IGF-II, and the steroidogenesis cluster containing six genes encoding steroidogenic enzymes plus eight other genes) whose combined levels of expression appeared to be good predictors of malignancy. This predictive value was as strong as that of the pathological score of Weiss. The analysis of the population of carcinomas (13 tumors) for genes whose expression would be strongly different between recurring and nonrecurring tumors allowed identification of 14 genes meeting these criteria. Among these genes, there are probably new markers of tumor evolution that will deserve additional validation on a larger scale. Taken together, these results show that the parallel analysis of the expression levels of a selected group of genes on microgram quantities of tumor RNA (a quantity that can be obtained from fine needle aspirations) appears as a complementary method to histopathology for the diagnosis and prognosis of evolution of adrenocortical carcinomas.
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ACCs show elevated expression of genes involved in cell proliferation, such as IGF2, compared with increased expression of steroidogenic genes in ACAs.
“An initial study identified elevated expression of genes involved in cell proliferation in ACCs, such as IGF2, compared with increased expression of steroidogenic genes in ACAs (steroidogenic cluster) (190).”
From Adrenocortical carcinoma (2014) · cites this paper as [190]
ACAs and ACCs have distinct expression profiles.
“ACAs and ACCs have distinct expression profiles (174, 190–192).”
From Adrenocortical carcinoma (2014) · cites this paper as [190]
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- Authors
- de Fraipont, F., El Atifi, M., Cherradi, N., Le Moigne, G., Defaye, G., Houlgatte, R., Bertherat, J., Bertagna, X., Plouin, P.-F., Baudin, E., Berger, F., Gicquel, C., Chabre, O., & Feige, J.-J.
- Affiliations
- Hôpital Européen Georges-Pompidou (FR)
- Inserm (FR)
- Hôpital Cochin (FR)
- Centre Hospitalier Universitaire de Grenoble (FR)
- Hôpital Armand-Trousseau (FR)
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2005-03
- Volume
- 90
- Issue
- 3
- Pages
- 1819-1829
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2158106539
- Cited by
- 261
- References
- 49
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 3 · 2022: 7 · 2021: 8 · 2020: 9 · 2019: 5 · 2018: 9 · 2017: 6 · 2016: 15 · 2015: 15 · 2014: 16 · 2013: 14 · 2012: 19
- FWCI
- 18.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Funders
- Institut National de la Santé et de la Recherche Médicale
- Groupement des Entreprises Françaises dans la lutte contre le Cancer
- Topics
- Health Sciences › Medicine › Surgery › Adrenal and Paraganglionic Tumors
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adrenal Hormones and Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Keywords
- adrenocortical tumors, adrenocortical carcinoma, adrenal adenoma, gene expression profiling, malignancy marker, insulin-like growth factor II, distant recurrence, tumor progression, fine-needle aspiration, prognosis, Weiss score
- MeSH terms
- Adolescent, Adrenal Cortex Neoplasms, Adult, Aged, Female, Genetic Markers, Humans, Male, Middle Aged, RNA, Messenger, Steroids, Biomarkers, Tumor, Gene Expression Regulation, Neoplastic, Disease-Free Survival, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling
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