Literature DB >> 18314908

DNA copy number alterations and expression of relevant genes in triple-negative breast cancer.

Wonshik Han1, Eun-Mi Jung, Jihyoung Cho, Jong Won Lee, Ki-Tae Hwang, Song-Ju Yang, Jason Jongho Kang, Ji-Yeon Bae, Yoon Kyung Jeon, In-Ae Park, Monica Nicolau, Stefanie S Jeffrey, Dong-Young Noh.   

Abstract

Triple-negative breast cancer (TNBC) is defined by a lack of expression of estrogen, progesterone, and HER2 receptors, and genetically most of them fall into the basal subgroup of breast cancer. The important issue of TNBC is poorer clinical outcome and absence of effective targeted therapy. In this study, we sought to identify DNA copy number alterations and expression of relevant genes characteristic of TNBC to discover potential therapeutic targets. Frozen tissues from 114 breast cancers were analyzed using high-resolution array comparative genomic hybridization. The classification into subtype was determined by estrogen and progesterone receptor expression, and by the presence or absence of gain on the ERBB2 containing clone. The ACE algorithm was used for calling gain and loss of clones. Twenty-eight cases (25%) were classified as TNBC. Recurrent gains (> or =25%) unique to TNBC were 9p24-p21, 10p15-p13, 12p13, 13q31-q34, 18q12, 18q21-q23, and 21q22. Two published gene expression array data sets comparing basal subtype versus other subtype breast cancers were used for searching candidate genes. Of the genes upregulated in the basal subtype, 45 of 686 genes in one data set and 59 of 1,428 in the second data set were found to be located in the gained regions. Of these candidate genes, gain of NFIB (9p24.1) was specific for TNBC in a validation set by real-time PCR. In conclusion, we have identified recurrently gained regions characteristic of TNBC, and found that NFIB copy number and expression is increased in TNBC across the data sets. This article contains Supplementary Material available at http://www.interscience.wiley.com/jpages/1045-2257/suppmat.

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Year:  2008        PMID: 18314908     DOI: 10.1002/gcc.20550

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  43 in total

1.  ERα Binding by Transcription Factors NFIB and YBX1 Enables FGFR2 Signaling to Modulate Estrogen Responsiveness in Breast Cancer.

Authors:  Thomas M Campbell; Mauro A A Castro; Kelin Gonçalves de Oliveira; Bruce A J Ponder; Kerstin B Meyer
Journal:  Cancer Res       Date:  2017-11-27       Impact factor: 12.701

2.  17p12 deletion in breast cancer predicts resistance to neoadjuvant chemotherapy.

Authors:  Wonshik Han; Jung Hoon Woo; Yoon Kyung Jeon; Song-Ju Yang; Jihyoung Cho; Eunyoung Ko; Tae-You Kim; Seock-Ah Im; DO-Youn Oh; In-Ae Park; Ki-Tae Hwang; Hyeong-Gon Moon; Kap-Seok Yang; Dong-Young Noh
Journal:  Exp Ther Med       Date:  2011-06-29       Impact factor: 2.447

3.  RNF138 interacts with RAD51D and is required for DNA interstrand crosslink repair and maintaining chromosome integrity.

Authors:  Brian D Yard; Nicole M Reilly; Michael K Bedenbaugh; Douglas L Pittman
Journal:  DNA Repair (Amst)       Date:  2016-04-21

4.  Identification and functional analysis of 9p24 amplified genes in human breast cancer.

Authors:  J Wu; S Liu; G Liu; A Dombkowski; J Abrams; R Martin-Trevino; M S Wicha; S P Ethier; Z-Q Yang
Journal:  Oncogene       Date:  2011-06-13       Impact factor: 9.867

5.  Nuclear factor I/B is an oncogene in small cell lung cancer.

Authors:  Alison L Dooley; Monte M Winslow; Derek Y Chiang; Shantanu Banerji; Nicolas Stransky; Talya L Dayton; Eric L Snyder; Stephanie Senna; Charles A Whittaker; Roderick T Bronson; Denise Crowley; Jordi Barretina; Levi Garraway; Matthew Meyerson; Tyler Jacks
Journal:  Genes Dev       Date:  2011-07-15       Impact factor: 11.361

6.  Nuclear factor one transcription factors in CNS development.

Authors:  Sharon Mason; Michael Piper; Richard M Gronostajski; Linda J Richards
Journal:  Mol Neurobiol       Date:  2008-12-05       Impact factor: 5.590

7.  An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer.

Authors:  Raj Chari; Bradley P Coe; Emily A Vucic; William W Lockwood; Wan L Lam
Journal:  BMC Syst Biol       Date:  2010-05-17

8.  RNA interference (RNAi) screening approach identifies agents that enhance paclitaxel activity in breast cancer cells.

Authors:  Joshua A Bauer; Fei Ye; Clayton B Marshall; Brian D Lehmann; Christopher S Pendleton; Yu Shyr; Carlos L Arteaga; Jennifer A Pietenpol
Journal:  Breast Cancer Res       Date:  2010-06-24       Impact factor: 6.466

9.  Genomic amplification and oncogenic properties of the GASC1 histone demethylase gene in breast cancer.

Authors:  G Liu; A Bollig-Fischer; B Kreike; M J van de Vijver; J Abrams; S P Ethier; Z-Q Yang
Journal:  Oncogene       Date:  2009-09-28       Impact factor: 9.867

10.  Integrative molecular profiling of triple negative breast cancers identifies amplicon drivers and potential therapeutic targets.

Authors:  N Turner; M B Lambros; H M Horlings; A Pearson; R Sharpe; R Natrajan; F C Geyer; M van Kouwenhove; B Kreike; A Mackay; A Ashworth; M J van de Vijver; J S Reis-Filho
Journal:  Oncogene       Date:  2010-01-18       Impact factor: 9.867

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