Literature DB >> 20514396

Characterization of molecular subtypes of Korean breast cancer: an ethnically and clinically distinct population.

Wonshik Han1, Monica Nicolau, Dong-Young Noh, Stefanie S Jeffrey.   

Abstract

We aimed to investigate the molecular characteristics of Korean breast cancer. A cDNA microarray study (>42k clones) was performed on 69 breast cancers and three normal breast tissues. The subjects had a high percentage of HER-2 expression, hormone receptor negativity, and young onset. Molecular subtypes according to gene expression profiles were determined and their correlations to the clinicopathologic characteristics and patients outcome were analyzed. The tumors were subdivided into luminal-, normal breast-like, ERBB2+, and basal-like subtypes according to the correlations to the previously described intrinsic genes and five centroids. Only a few tumors were highly correlated to the luminal B and normal-like centroids. The high grade tumors with high p53 and Ki-67 were found more commonly in non-luminal tumors. Distant recurrence-free survival was worse in ERBB2+ and basal-like subgroups than luminal tumors. In an unsupervised clustering with 864 genes, many interesting gene clusters were observed, some of which had not been previously described. Although the Korean breast cancers showed generally similar molecular phenotypes as Western studies, some distinct gene expression patterns and their association to clinical outcomes were observed.

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Year:  2010        PMID: 20514396      PMCID: PMC4553156          DOI: 10.3892/ijo_00000652

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  30 in total

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2.  Gene expression profiling predicts clinical outcome of breast cancer.

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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
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4.  Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns.

Authors:  S Gruvberger; M Ringnér; Y Chen; S Panavally; L H Saal; M Fernö; C Peterson; P S Meltzer
Journal:  Cancer Res       Date:  2001-08-15       Impact factor: 12.701

5.  Diagnosis of multiple cancer types by shrunken centroids of gene expression.

Authors:  Robert Tibshirani; Trevor Hastie; Balasubramanian Narasimhan; Gilbert Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-14       Impact factor: 11.205

6.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

7.  Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival.

Authors:  Howard Y Chang; Dimitry S A Nuyten; Julie B Sneddon; Trevor Hastie; Robert Tibshirani; Therese Sørlie; Hongyue Dai; Yudong D He; Laura J van't Veer; Harry Bartelink; Matt van de Rijn; Patrick O Brown; Marc J van de Vijver
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-08       Impact factor: 11.205

8.  Immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma.

Authors:  Torsten O Nielsen; Forrest D Hsu; Kristin Jensen; Maggie Cheang; Gamze Karaca; Zhiyuan Hu; Tina Hernandez-Boussard; Chad Livasy; Dave Cowan; Lynn Dressler; Lars A Akslen; Joseph Ragaz; Allen M Gown; C Blake Gilks; Matt van de Rijn; Charles M Perou
Journal:  Clin Cancer Res       Date:  2004-08-15       Impact factor: 12.531

9.  A comparison of five immunohistochemical biomarkers and HER-2/neu gene amplification by fluorescence in situ hybridization in white and Korean patients with early-onset breast carcinoma.

Authors:  Doo Ho Choi; Dong Bok Shin; Min Hyuk Lee; Dong Wha Lee; Devika Dhandapani; Darryl Carter; Bonnie L King; Bruce G Haffty
Journal:  Cancer       Date:  2003-10-15       Impact factor: 6.860

10.  Optimization and evaluation of T7 based RNA linear amplification protocols for cDNA microarray analysis.

Authors:  Hongjuan Zhao; Trevor Hastie; Michael L Whitfield; Anne-Lise Børresen-Dale; Stefanie S Jeffrey
Journal:  BMC Genomics       Date:  2002-10-30       Impact factor: 3.969

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