Literature DB >> 11566617

Microarrays in primary breast cancer--lessons from chemotherapy studies.

P E Lønning1, T Sørlie, C M Perou, P O Brown, D Botstein, A L Børresen-Dale.   

Abstract

Current development in molecular techniques has extended the opportunities to explore genetic alterations in malignant tissue. There is a need to improve prognostication and, in particular, to understand the mechanisms of treatment resistance in different tumours. Gene analyses by microarrays allow concomitant analyses of several genes in concert, providing new opportunities for tumour classification and understanding of key biological disturbances. This paper outlines our continuing studies exploring prognostic and, we hope, predictive factors in breast cancer therapy.

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Year:  2001        PMID: 11566617     DOI: 10.1677/erc.0.0080259

Source DB:  PubMed          Journal:  Endocr Relat Cancer        ISSN: 1351-0088            Impact factor:   5.678


  7 in total

1.  Next Generation Sequencing Reveals High Prevalence of BRCA1 and BRCA2 Variants of Unknown Significance in Early-Onset Breast Cancer in African American Women.

Authors:  Luisel Ricks-Santi; J Tyson McDonald; Bert Gold; Michael Dean; Nicole Thompson; Muneer Abbas; Bradford Wilson; Yasmine Kanaan; Tammey J Naab; Georgia Dunston
Journal:  Ethn Dis       Date:  2017-04-20       Impact factor: 1.847

2.  Gene expression profiles of primary breast tumors maintained in distant metastases.

Authors:  Britta Weigelt; Annuska M Glas; Lodewyk F A Wessels; Anke T Witteveen; Johannes L Peterse; Laura J van't Veer
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-09       Impact factor: 11.205

3.  Estrogen receptor silencing induces epithelial to mesenchymal transition in human breast cancer cells.

Authors:  Sanaa Al Saleh; Fahd Al Mulla; Yunus A Luqmani
Journal:  PLoS One       Date:  2011-06-21       Impact factor: 3.240

Review 4.  Methods to find out the expression of activated genes.

Authors:  Sten Z Cekan
Journal:  Reprod Biol Endocrinol       Date:  2004-09-23       Impact factor: 5.211

5.  A prognostic index for operable, node-negative breast cancer.

Authors:  M McCallum; C Baker; K Gillespie; B Cohen; H Stewart; R Leonard; D Cameron; R Leake; J Paxton; A Robertson; C Purdie; A Gould; M Steel
Journal:  Br J Cancer       Date:  2004-05-17       Impact factor: 7.640

6.  Reinventing diagnostics for personalized therapy in oncology.

Authors:  Diponkar Banerjee
Journal:  Cancers (Basel)       Date:  2010-06-02       Impact factor: 6.639

7.  High Expression of Three-Gene Signature Improves Prediction of Relapse-Free Survival in Estrogen Receptor-Positive and Node-Positive Breast Tumors.

Authors:  Arvind Thakkar; Hemanth Raj; Bhaskaran Muthuvelan; Arun Balakrishnan; Muralidhara Padigaru
Journal:  Biomark Insights       Date:  2015-11-30
  7 in total

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