Literature DB >> 23696929

Determination of whole transcription profiles and specific pathways in invasive ductal breast carcinoma.

Pasra Arnutti1, Manas Kotepui, Wichitra Asanprakit, Phaibul Punyarit, Porntip Chavalitshewinkoon-Petmitr, Talabporn Harnroongroj, Songsak Petmitr.   

Abstract

Breast cancer is the most common cancer affecting women worldwide including Thailand. Whole transcription profiles of invasive ductal breast carcinoma (IDC) obtained by oligonucleotide microarray should lead to a better understanding of the molecular basis of IDCs, allow for examination of specific markers for diagnosis, and provide novel targets for therapy. This study aimed to detect the whole transcript expression of approximately 35,000 target genes in Thai breast cancer patients, using Affymetrix GeneChip(®) Exon 1.0 Sense Target Arrays. Analysis revealed that the differential expression profiles of 928 genes (423 up-regulated and 505 down-regulated genes) were 2-fold or greater (unpaired t-test, p < 0.05) in invasive ductal breast cancer, compared with normal tissues. The Gene Ontology (GO) databases support important associations in 17 gene sets with p-value < 1E-10 and ≥ 4-fold changes, involving the tumorigenic pathways of cell cycles, extracellular regions, as well as cellular component organization. Likewise, the TGFBR and IL-6 pathways contain gene expression with statistically significant changes in IDC.

Entities:  

Keywords:  IL-6 pathway; Invasive ductal breast carcinoma; TGFBR; gene expression profile; oligonucleotide microarray

Mesh:

Substances:

Year:  2013        PMID: 23696929      PMCID: PMC3657364     

Source DB:  PubMed          Journal:  Int J Clin Exp Pathol        ISSN: 1936-2625


  40 in total

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Journal:  Methods       Date:  2001-12       Impact factor: 3.608

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Review 3.  DNA microarrays in clinical oncology.

Authors:  Sridhar Ramaswamy; Todd R Golub
Journal:  J Clin Oncol       Date:  2002-04-01       Impact factor: 44.544

4.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

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Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

5.  Distinctive gene expression patterns in human mammary epithelial cells and breast cancers.

Authors:  C M Perou; S S Jeffrey; M van de Rijn; C A Rees; M B Eisen; D T Ross; A Pergamenschikov; C F Williams; S X Zhu; J C Lee; D Lashkari; D Shalon; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-03       Impact factor: 11.205

6.  Molecular profiling of inflammatory breast cancer: identification of a poor-prognosis gene expression signature.

Authors:  Ivan Bièche; Florence Lerebours; Sengül Tozlu; Marc Espie; Michel Marty; Rosette Lidereau
Journal:  Clin Cancer Res       Date:  2004-10-15       Impact factor: 12.531

7.  Global estimates of cancer prevalence for 27 sites in the adult population in 2008.

Authors:  Freddie Bray; Jian-Song Ren; Eric Masuyer; Jacques Ferlay
Journal:  Int J Cancer       Date:  2012-07-26       Impact factor: 7.396

8.  Correlation of KIT and EGFR overexpression with invasive ductal breast carcinoma of the solid-tubular subtype, nuclear grade 3, and mesenchymal or myoepithelial differentiation.

Authors:  Hitoshi Tsuda; Daisaku Morita; Mikihiko Kimura; Eiji Shinto; Yukiko Ohtsuka; Osamu Matsubara; Johji Inazawa; Kuniyoshi Tamaki; Hidetaka Mochizuki; Seiichi Tamai; Hoshio Hiraide
Journal:  Cancer Sci       Date:  2005-01       Impact factor: 6.716

9.  Identification of TACC1, NOV, and PTTG1 as new candidate genes associated with endocrine therapy resistance in breast cancer.

Authors:  Sandra E Ghayad; Julie A Vendrell; Ivan Bieche; Frédérique Spyratos; Charles Dumontet; Isabelle Treilleux; Rosette Lidereau; Pascale A Cohen
Journal:  J Mol Endocrinol       Date:  2008-11-04       Impact factor: 5.098

10.  Breast cancer in women under 40 years: preoperative detection by mammography.

Authors:  M Muttarak; S Pojchamarnwiputh; B Chaiwun
Journal:  Ann Acad Med Singap       Date:  2003-07       Impact factor: 2.473

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  4 in total

1.  Co-expression of DDR2 and IFITM1 promotes breast cancer cell proliferation, migration and invasion and inhibits apoptosis.

Authors:  Chenlu Wu; Jiafei Ying; Mei Dai; Jing Peng; Danhua Zhang
Journal:  J Cancer Res Clin Oncol       Date:  2022-06-28       Impact factor: 4.322

2.  Distinct expression of CDCA3, CDCA5, and CDCA8 leads to shorter relapse free survival in breast cancer patient.

Authors:  Nam Nhut Phan; Chih-Yang Wang; Kuan-Lun Li; Chien-Fu Chen; Chung-Chieh Chiao; Han-Gang Yu; Pung-Ling Huang; Yen-Chang Lin
Journal:  Oncotarget       Date:  2018-01-09

3.  LAMP1 expression is associated with poor prognosis in breast cancer.

Authors:  Qingqing Wang; Juan Yao; Qin Jin; Xudong Wang; Huijun Zhu; Fan Huang; Wei Wang; Jianfeng Qiang; Qichao Ni
Journal:  Oncol Lett       Date:  2017-08-16       Impact factor: 2.967

4.  Coexpression of EphA10 and Gli3 promotes breast cancer cell proliferation, invasion and migration.

Authors:  Jing Peng; Danhua Zhang
Journal:  J Investig Med       Date:  2021-05-14       Impact factor: 2.895

  4 in total

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