Literature DB >> 14612510

Differentiation of lobular versus ductal breast carcinomas by expression microarray analysis.

James E Korkola1, Sandy DeVries, Jane Fridlyand, E Shelley Hwang, Anne L H Estep, Yunn-Yi Chen, Karen L Chew, Shanaz H Dairkee, Ronald M Jensen, Frederic M Waldman.   

Abstract

Invasive lobular and ductal breast tumors have distinct histologies and clinical presentation. Other than altered expression of E-cadherin, little is known about the underlying biology that distinguishes the tumor subtypes. We used cDNA microarrays to identify genes differentially expressed between lobular and ductal tumors. Unsupervised clustering of tumors failed to distinguish between the two subtypes. Prediction analysis for microarrays (PAM) was able to predict tumor type with an accuracy of 93.7%. Genes that were significantly differentially expressed between the two groups were identified by MaxT permutation analysis using t tests (20 cDNA clones and 10 unique genes), significance analysis for microarrays (33 cDNA clones and 15 genes, at an estimated false discovery rate of 2%), and PAM (31 cDNAs and 15 genes). There were 8 genes identified by all three of these related methods (E-cadherin, survivin, cathepsin B, TPI1, SPRY1, SCYA14, TFAP2B, and thrombospondin 4), and an additional 3 that were identified by significance analysis for microarrays and PAM (osteopontin, HLA-G, and CHC1). To validate the differential expression of these genes, 7 of them were tested by real-time quantitative PCR, which verified that they were differentially expressed in lobular versus ductal tumors. In conclusion, specific changes in gene expression distinguish lobular from ductal breast carcinomas. These genes may be important in understanding the basis of phenotypic differences among breast cancers.

Entities:  

Mesh:

Year:  2003        PMID: 14612510

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  70 in total

Review 1.  Histological types of breast cancer: how special are they?

Authors:  Britta Weigelt; Felipe C Geyer; Jorge S Reis-Filho
Journal:  Mol Oncol       Date:  2010-04-18       Impact factor: 6.603

Review 2.  Molecular biology of breast cancer.

Authors:  Miguel Martín
Journal:  Clin Transl Oncol       Date:  2006-01       Impact factor: 3.405

Review 3.  Molecular profiling in breast cancer.

Authors:  Shannon R Morris; Lisa A Carey
Journal:  Rev Endocr Metab Disord       Date:  2007-09       Impact factor: 6.514

Review 4.  Invoking the power of thrombospondins: regulation of thrombospondins expression.

Authors:  Olga Stenina-Adognravi
Journal:  Matrix Biol       Date:  2014-02-25       Impact factor: 11.583

5.  Anti-oestrogens but not oestrogen deprivation promote cellular invasion in intercellular adhesion-deficient breast cancer cells.

Authors:  Annabel C Borley; Stephen Hiscox; Julia Gee; Chris Smith; Victoria Shaw; Peter Barrett-Lee; Robert I Nicholson
Journal:  Breast Cancer Res       Date:  2008-12-04       Impact factor: 6.466

6.  Investigating AP-2 and YY1 protein expression as a cause of high HER2 gene transcription in breast cancers with discordant HER2 gene amplification.

Authors:  Desmond G Powe; Gulfareen Akhtar; Hany Onsy Habashy; Tarek Abdel-Fatah; Emad A Rakha; Andrew R Green; Ian O Ellis
Journal:  Breast Cancer Res       Date:  2009-12-21       Impact factor: 6.466

7.  Invasive Lobular Carcinomas Do Not Express Basal Cytokeratin Markers CK5/6, CK14 and CK17.

Authors:  Natalya Khilko; Jianmin Wang; Bing Wei; David G Hicks; Ping Tang
Journal:  Breast Cancer (Auckl)       Date:  2010-10-21

8.  Thrombospondin-4 is a putative tumour-suppressor gene in colorectal cancer that exhibits age-related methylation.

Authors:  Sonia A Greco; June Chia; Kelly J Inglis; Sarah-Jane Cozzi; Ingunn Ramsnes; Ronald L Buttenshaw; Kevin J Spring; Glen M Boyle; Daniel L Worthley; Barbara A Leggett; Vicki L J Whitehall
Journal:  BMC Cancer       Date:  2010-09-16       Impact factor: 4.430

9.  A resampling-based meta-analysis for detection of differential gene expression in breast cancer.

Authors:  Bala Gur-Dedeoglu; Ozlen Konu; Serkan Kir; Ahmet Rasit Ozturk; Betul Bozkurt; Gulusan Ergul; Isik G Yulug
Journal:  BMC Cancer       Date:  2008-12-30       Impact factor: 4.430

10.  A list of candidate cancer biomarkers for targeted proteomics.

Authors:  Malu Polanski; N Leigh Anderson
Journal:  Biomark Insights       Date:  2007-02-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.