Related Experiment Video
Updated: Jul 31, 2026

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
Published on: March 15, 2011
Novel patterns of gene expression in pituitary adenomas identified by complementary deoxyribonucleic acid microarrays
C O Evans1, A N Young, M R Brown
1Department of Neurosurgery and Laboratory of Molecular Neurosurgery and Biotechnology, Emory University School of Medicine, Atlanta, Georgia 30322, USA.
Abstract:
Pituitary adenomas account for approximately 10% of intracranial tumors, but little is known of the oncogenesis of these tumors. The identification of tumor-specific genes may further elucidate the pathways of tumor formation. We used complementary DNA microarrays to examine gene expression profiles in nonfunctioning, PRL, GH, and ACTH secreting adenomas, compared with normal pituitary. Microarray analysis showed that 128 of 7075 genes examined were differentially expressed. We then analyzed three genes with unique expression patterns and oncogenic importance by RT-real time quantitative PCR in 37 pituitaries. Folate receptor gene was significantly overexpressed in nonfunctioning adenomas but was significantly underexpressed in PRL and GH adenomas, compared with controls and to other tumors. The ornithine decarboxylase gene was significantly overexpressed in GH adenomas, compared with other tumor subtypes but was significantly underexpressed in ACTH adenomas. C-mer proto-oncogene tyrosine kinase gene was significantly overexpressed in ACTH adenomas but was significantly underexpressed in PRL adenomas. We have shown that at least three genes involved in carcinogenesis in other tissues are also aberrantly regulated in the major types of pituitary tumors. The evaluation of candidate genes that emerge from these experiments provides a rational approach to investigate those genes significant in tumorigenesis.
Insights
Researchers identified key genes involved in pituitary tumor formation. Aberrant regulation of folate receptor, ornithine decarboxylase, and c-mer proto-oncogene tyrosine kinase genes were observed in different pituitary adenoma types.
Area of Science:
- * Endocrinology and Molecular Oncology
- * Genetics and Genomics of Pituitary Tumors
Background:
- * Pituitary adenomas represent approximately 10% of intracranial tumors, yet their oncogenesis remains poorly understood.
- * Identifying tumor-specific genes is crucial for elucidating pituitary tumor formation pathways.
Purpose of the Study:
- * To investigate differential gene expression profiles in various pituitary adenoma subtypes.
- * To identify specific genes with aberrant regulation implicated in pituitary tumorigenesis.
Main Methods:
- * Complementary DNA (cDNA) microarrays were employed to analyze gene expression in normal pituitary tissue and nonfunctioning, prolactin (PRL), growth hormone (GH), and ACTH-secreting adenomas.
- * Quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to validate the expression patterns of selected genes in 37 pituitary samples.
Main Results:
- * Microarray analysis revealed differential expression in 128 out of 7075 genes examined.
- * Folate receptor gene: Overexpressed in nonfunctioning adenomas; underexpressed in PRL and GH adenomas.
- * Ornithine decarboxylase gene: Overexpressed in GH adenomas; underexpressed in ACTH adenomas.
- * C-mer proto-oncogene tyrosine kinase gene: Overexpressed in ACTH adenomas; underexpressed in PRL adenomas.
Conclusions:
- * At least three genes involved in carcinogenesis in other tissues are aberrantly regulated in major pituitary tumor types.
- * These findings provide candidate genes for further investigation into pituitary tumorigenesis.
- * Understanding these genetic alterations offers a rational approach to studying pituitary tumor development.
More Related Videos
13:19Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 3, 2013
12:34Two-dimensional Gel Electrophoresis Coupled with Mass Spectrometry Methods for an Analysis of Human Pituitary Adenoma Tissue Proteome
Published on: April 2, 2018