Literature DB >> 17194947

Gene expression profiling of women with varying degrees of cervical intraepithelial neoplasia.

James E Kendrick1, Michael G Conner, Warner K Huh.   

Abstract

OBJECTIVE: A pilot study to determine genomic microarray differences in patients with normal cervical tissue and cervical intraepithelial neoplasia (CIN) 3.
MATERIALS AND METHODS: After institutional review board approval, patients referred to the University of Alabama at Birmingham Colposcopy Clinic for a loop electrosurgical excisional procedure were identified. Tissue biopsies of both normal tissue and CIN 3 from fresh loop electrosurgical excisional procedure specimens were obtained and sent to pathology for histological confirmation. Procurement of these 2 types of tissue from the same patient controls for different types of human papillomavirus infection, smoking and nutritional status, age, immunocompetency, and other microenvironment factors (i.e., the patient serves as their own control). Standard RNA extraction techniques (Qiagen, Inc., Valencia, CA) were used to prepare the tissue specimens for microarray analysis with the Affymetrix GeneChip U133A expression array (Affymetrix, Inc., Santa Clara, CA). Paired samples were eligible for microarray analysis only when both normal tissue and CIN 3 were confirmed by pathology. The data were then subsequently subjected to a log-like transformation and analyzed with a t test. For this study, p<.001 was determined to be statistically significant.
RESULTS: Twenty-one pairs of both normal and CIN tissues were obtained and underwent histological evaluation followed by RNA extraction. Within the normal group, 86% were confirmed as true normals and 14% as CIN. Within the CIN group, 28.5% were found to have CIN 2, 62% were found to have CIN 3, and 9.5% had no evidence of CIN. Mean RNA content of normal samples was 2.0 microg, whereas the mean RNA content of CIN samples was significantly higher at 7.4 microg (p=006). Ultimately, 5 pairs of normal and neoplastic tissues were subjected to microarray analysis. Using a cutoff of p<.001, 24 candidate genes were identified from more than 18,000 genes. In the CIN 3 group, 14 genes were overexpressed and 10 genes were underexpressed. Of the 14 overexpressed genes, 9 were noted to have identities listed in the National Center for Biotechnology Information public domain. Five (56%) of these 9 genes were directly related to immunity-related pathways, and 3 (33%) of the 9 genes were found to be involved in cell cycle function/control. One overexpressed gene was identified as p53.
CONCLUSIONS: The presence of CIN is marked by increased transcriptional activity, evident by an almost 4-fold increase in mean RNA content obtained from our CIN samples versus normal cervical tissue. Furthermore, a number of statistically significant overexpressed genes of interest related to immune function/response and cell cycle control were identified in our pilot microarray study. This data have the ability to direct future research endeavors in cervical neoplasia. Future endeavors include the use of laser capture microdissection to evaluate genomic changes strictly at the epithelial level and, as such, exclude stromal response contributions.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17194947     DOI: 10.1097/01.lgt.0000230124.68996.38

Source DB:  PubMed          Journal:  J Low Genit Tract Dis        ISSN: 1089-2591            Impact factor:   1.925


  6 in total

1.  Identification of differential expressed transcripts in cervical cancer of Mexican patients.

Authors:  Leticia Santos; Ma Fabiola León-Galván; Erika Nahomy Marino-Marmolejo; Ana Paulina Barba de la Rosa; Antonio De León Rodríguez; Roberto González-Amaro; Ramón Gerardo Guevara-González
Journal:  Tumour Biol       Date:  2011-01-13

2.  Molecular fixative enables expression microarray analysis of microdissected clinical cervical specimens.

Authors:  Gerald Li; Dirk van Niekerk; Dianne Miller; Thomas Ehlen; Cathie Garnis; Michele Follen; Martial Guillaud; Calum Macaulay
Journal:  Exp Mol Pathol       Date:  2014-01-08       Impact factor: 3.362

3.  Laser capture microdissection of cervical human papillomavirus infections: copy number of the virus in cancerous and normal tissue and heterogeneous DNA methylation.

Authors:  Mina Kalantari; Alejandro Garcia-Carranca; Claudia Dalia Morales-Vazquez; Rosemary Zuna; Delia Perez Montiel; Itzel E Calleja-Macias; Bo Johansson; Sonia Andersson; Hans-Ulrich Bernard
Journal:  Virology       Date:  2009-06-04       Impact factor: 3.616

4.  Gene expression analysis of interferon kappa in laser capture microdissected cervical epithelium.

Authors:  Correne A DeCarlo; Nicholas G Escott; Julieta Werner; Kerry Robinson; Paul F Lambert; R David Law; Ingeborg Zehbe
Journal:  Anal Biochem       Date:  2008-06-13       Impact factor: 3.365

5.  Gene expression patterns induced by HPV-16 L1 virus-like particles in leukocytes from vaccine recipients.

Authors:  Alfonso J García-Piñeres; Allan Hildesheim; Lori Dodd; Troy J Kemp; Jun Yang; Brandie Fullmer; Clayton Harro; Douglas R Lowy; Richard A Lempicki; Ligia A Pinto
Journal:  J Immunol       Date:  2009-02-01       Impact factor: 5.422

Review 6.  Overview of microarray analysis of gene expression and its applications to cervical cancer investigation.

Authors:  Angel Chao; Tzu-Hao Wang; Chyong-Huey Lai
Journal:  Taiwan J Obstet Gynecol       Date:  2007-12       Impact factor: 1.705

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.