Literature DB >> 17367315

Gene expression in epithelial ovarian cancer: a study of intratumor heterogeneity.

K M Jochumsen1, Q Tan, B Hølund, T A Kruse, O Mogensen.   

Abstract

The aim of this study was to investigate the intratumor heterogeneity of gene expression profiles in epithelial ovarian cancer (EOC). This was done to evaluate whether sampling of a single macrodissected tissue sample from each EOC case would bias the data and result in, eg, prognostic studies based on gene expression microarray experiments. From nine EOCs removed at Odense University Hospital, Denmark, three tumor samples of 200-300 mg each were taken with greatest possible mutual distance. The samples were immediately flash frozen. A parallel section was taken for histopathologic comparison. RNA was extracted from the tissue samples. Five micrograms of each RNA sample was used for labeling. The fragmented biotin-labeled complementary RNA was hybridized to Affymetrix GeneChip Human Genome U133 plus 2.0 arrays, and scanning was performed on the GeneArray scanner 3000 (Affymetrix, Santa Clara, CA). Data were evaluated using hierarchical clustering and intraclass correlation coefficient (ICC) from reliability analysis. All evaluation methods revealed low intratumor heterogeneity. Intratumor ICCs ranged from 0.888 to 0.978. In contrast, "between-tumor" ICC was 0.549 indicating much lower intra- than intertumor heterogeneity. Due to a low degree of intratumor variation, we conclude that it is sufficiently accurate in a clinical setup to use single, macrodissected tumor samples in the evaluation of gene expression in EOCs.

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Year:  2007        PMID: 17367315     DOI: 10.1111/j.1525-1438.2007.00908.x

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  8 in total

Review 1.  Standards affecting the consistency of gene expression arrays in clinical applications.

Authors:  Steven A Enkemann
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

2.  Distance-based classifiers as potential diagnostic and prediction tools for human diseases.

Authors:  Boris Veytsman; Lei Wang; Tiange Cui; Sergey Bruskin; Ancha Baranova
Journal:  BMC Genomics       Date:  2014-12-19       Impact factor: 3.969

3.  Intratumor heterogeneity and precision of microarray-based predictors of breast cancer biology and clinical outcome.

Authors:  William T Barry; Dawn N Kernagis; Holly K Dressman; Ryan J Griffis; J'vonne D Hunter; John A Olson; Jeff R Marks; Geoffrey S Ginsburg; Paul K Marcom; Joseph R Nevins; Joseph Geradts; Michael B Datto
Journal:  J Clin Oncol       Date:  2010-04-05       Impact factor: 44.544

4.  Robust multi-tissue gene panel for cancer detection.

Authors:  Joseph Irgon; C Chris Huang; Yi Zhang; Dmitri Talantov; Gyan Bhanot; Sándor Szalma
Journal:  BMC Cancer       Date:  2010-06-22       Impact factor: 4.430

5.  Three-dimensional mRNA measurements reveal minimal regional heterogeneity in esophageal squamous cell carcinoma.

Authors:  Wusheng Yan; Joanna Shih; Jaime Rodriguez-Canales; Michael A Tangrea; Audrey Player; Lixia Diao; Nan Hu; Alisa M Goldstein; Jing Wang; Philip R Taylor; Scott M Lippman; Ignacio I Wistuba; Michael R Emmert-Buck; Heidi S Erickson
Journal:  Am J Pathol       Date:  2012-12-03       Impact factor: 4.307

6.  Increased expression of neurotensin in high grade serous ovarian carcinoma with evidence of serous tubal intraepithelial carcinoma.

Authors:  Eric J Norris; Qing Zhang; Wendell D Jones; Darla DeStephanis; Ashley P Sutker; Chad A Livasy; Ram N Ganapathi; David L Tait; Mahrukh K Ganapathi
Journal:  J Pathol       Date:  2019-05-14       Impact factor: 7.996

7.  Functional genomics identifies five distinct molecular subtypes with clinical relevance and pathways for growth control in epithelial ovarian cancer.

Authors:  Tuan Zea Tan; Qing Hao Miow; Ruby Yun-Ju Huang; Meng Kang Wong; Jieru Ye; Jieying Amelia Lau; Meng Chu Wu; Luqman Hakim Bin Abdul Hadi; Richie Soong; Mahesh Choolani; Ben Davidson; Jahn M Nesland; Ling-Zhi Wang; Noriomi Matsumura; Masaki Mandai; Ikuo Konishi; Boon-Cher Goh; Jeffrey T Chang; Jean Paul Thiery; Seiichi Mori
Journal:  EMBO Mol Med       Date:  2013-05-13       Impact factor: 12.137

8.  Performance Characteristics of the BluePrint® Breast Cancer Diagnostic Test.

Authors:  Lorenza Mittempergher; Leonie Jmj Delahaye; Anke T Witteveen; Mireille Hj Snel; Sammy Mee; Bob Y Chan; Christa Dreezen; Naomi Besseling; Ernest Jt Luiten
Journal:  Transl Oncol       Date:  2020-03-21       Impact factor: 4.243

  8 in total

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