Gene expression profiling and cancer-related pathways in Type I endometrial carcinoma

Fatma S A Saghir, Isa Mohamed Rose, Ahmad Zailani Hatta Mohd Dali, Zainab Shamsuddin, A. Rahman A. Jamal, Norfilza Mohd Mokhtar

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Introduction: Malignant transformation of type I endometrium involves alteration in gene expression with subsequent uncontrolled proliferation of altered cells. Objective: The main objective of the present study was to identify the cancer-related genes and gene pathways in the endometrium of healthy and cancer patients. Materials and Methods: Thirty endometrial tissues from healthy and type I EC patients were subjected to total RNA isolation. The RNA samples with good integrity number were hybridized to a new version of Affymetrix Human Genome GeneChip 1.0 ST array. We analyzed the results using the GeneSpring 9.0 GX and the Pathway Studio 6.1 software. For validation assay, quantitative real-time polymerase chain reaction was used to analyze 4 selected genes in normal and EC tissue. Results: Of the 28,869 genes profiled, we identified 621 differentially expressed genes (2-fold) in the normal tissue and the tumor. Among these genes, 146 were up-regulated and 476 were down-regulated in the tumor as compared with the normal tissue (P < 0.001). Up-regulated genes included the v-erb-a erythroblastic leukemia viral oncogene homolog 3 (ErbB3), ErbB4, E74-like factor 3 (ELF3), and chemokine ligand 17 (CXCL17). The down-regulated genes included signal transducer and activator transcription 5B (STAT5b), transforming growth factor A receptor III (TGFA3), caveolin 1 (CAV1), and protein kinase C alpha (PKCA). The gene set enrichment analysis showed 10 significant gene sets with related genes (P < 0.05). The quantitative polymerase chain reaction of 4 selected genes using similar RNA confirmed the microarray results (P < 0.05). Conclusions: Identification of molecular pathways with their genes related to type I EC contribute to the understanding of pathophysiology of this cancer, probably leading to identifying potential biomarkers of the cancer.

Original languageEnglish
Pages (from-to)724-731
Number of pages8
JournalInternational Journal of Gynecological Cancer
Volume20
Issue number5
DOIs
Publication statusPublished - Jul 2010

Fingerprint

Gene Expression Profiling
Endometrial Neoplasms
Genes
Neoplasms
RNA
STAT5 Transcription Factor
Caveolins
Protein Kinase C-alpha
Caveolin 1
Growth Factor Receptors
Neoplasm Genes
Transforming Growth Factors
Human Genome
Tumor Biomarkers
Endometrium
Oncogenes
Chemokines
Real-Time Polymerase Chain Reaction
Leukemia
Software

Keywords

  • Gene expression
  • Genomics
  • Microarray
  • Pathway analysis
  • Type I endometrial carcinoma

ASJC Scopus subject areas

  • Obstetrics and Gynaecology
  • Oncology

Cite this

Gene expression profiling and cancer-related pathways in Type I endometrial carcinoma. / Saghir, Fatma S A; Rose, Isa Mohamed; Dali, Ahmad Zailani Hatta Mohd; Shamsuddin, Zainab; A. Jamal, A. Rahman; Mohd Mokhtar, Norfilza.

In: International Journal of Gynecological Cancer, Vol. 20, No. 5, 07.2010, p. 724-731.

Research output: Contribution to journalArticle

Saghir, Fatma S A ; Rose, Isa Mohamed ; Dali, Ahmad Zailani Hatta Mohd ; Shamsuddin, Zainab ; A. Jamal, A. Rahman ; Mohd Mokhtar, Norfilza. / Gene expression profiling and cancer-related pathways in Type I endometrial carcinoma. In: International Journal of Gynecological Cancer. 2010 ; Vol. 20, No. 5. pp. 724-731.
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AU - Rose, Isa Mohamed

AU - Dali, Ahmad Zailani Hatta Mohd

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AU - A. Jamal, A. Rahman

AU - Mohd Mokhtar, Norfilza

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AB - Introduction: Malignant transformation of type I endometrium involves alteration in gene expression with subsequent uncontrolled proliferation of altered cells. Objective: The main objective of the present study was to identify the cancer-related genes and gene pathways in the endometrium of healthy and cancer patients. Materials and Methods: Thirty endometrial tissues from healthy and type I EC patients were subjected to total RNA isolation. The RNA samples with good integrity number were hybridized to a new version of Affymetrix Human Genome GeneChip 1.0 ST array. We analyzed the results using the GeneSpring 9.0 GX and the Pathway Studio 6.1 software. For validation assay, quantitative real-time polymerase chain reaction was used to analyze 4 selected genes in normal and EC tissue. Results: Of the 28,869 genes profiled, we identified 621 differentially expressed genes (2-fold) in the normal tissue and the tumor. Among these genes, 146 were up-regulated and 476 were down-regulated in the tumor as compared with the normal tissue (P < 0.001). Up-regulated genes included the v-erb-a erythroblastic leukemia viral oncogene homolog 3 (ErbB3), ErbB4, E74-like factor 3 (ELF3), and chemokine ligand 17 (CXCL17). The down-regulated genes included signal transducer and activator transcription 5B (STAT5b), transforming growth factor A receptor III (TGFA3), caveolin 1 (CAV1), and protein kinase C alpha (PKCA). The gene set enrichment analysis showed 10 significant gene sets with related genes (P < 0.05). The quantitative polymerase chain reaction of 4 selected genes using similar RNA confirmed the microarray results (P < 0.05). Conclusions: Identification of molecular pathways with their genes related to type I EC contribute to the understanding of pathophysiology of this cancer, probably leading to identifying potential biomarkers of the cancer.

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