Literature DB >> 23573359

Gene expression profiling in breast cancer.

Belisario A Arango1, Celine L Rivera, Stefan Glück.   

Abstract

In recent years, molecular research has translated into remarkable changes of breast cancer diagnostics and therapeutics. Molecular tests such as the 21 gene expression test (Oncotype DX(TM)) and 70 gene microarray test (MammaPrint(®)) have revolutionized the predictive and prognostic tools in the clinic. By stratifying the risk of recurrence for patients, the tests are able to provide clinicians with more information on the treatment outcomes of using chemotherapy, HER2 targeted therapy or endocrine therapy or the combination of the therapies for patients with particular genetic expressions. However, it is still questionable for clinical applications as some areas remain unclear and that the true benefit still needs prospective evaluation. Such studies are under way and are anxiously awaited. In this paper, the limitation of the molecular tests are discussed. As we are moving towards personalized medicine, molecular profiling will not only result in better outcomes but in a certain proportion of patients, likely will spare unnecessary use of cytotoxic compounds and reduce the cost to the health care systems.

Entities:  

Keywords:  Early breast cancer; gene profiling; predictive and prognostic power

Year:  2013        PMID: 23573359      PMCID: PMC3612510     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   4.060


  28 in total

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Authors:  Stefan Glück; Adrian Yun-San Yip; Elizabeth Lam-Yan Ng
Journal:  Expert Opin Ther Targets       Date:  2012-02-08       Impact factor: 6.902

3.  Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series.

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Journal:  Clin Cancer Res       Date:  2007-06-01       Impact factor: 12.531

4.  Tamoxifen for early breast cancer: an overview of the randomised trials. Early Breast Cancer Trialists' Collaborative Group.

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Journal:  Lancet       Date:  1998-05-16       Impact factor: 79.321

5.  TP53 genomics predict higher clinical and pathologic tumor response in operable early-stage breast cancer treated with docetaxel-capecitabine ± trastuzumab.

Authors:  Stefan Glück; Jeffrey S Ross; Melanie Royce; Edward F McKenna; Charles M Perou; Eli Avisar; Lin Wu
Journal:  Breast Cancer Res Treat       Date:  2011-03-04       Impact factor: 4.872

6.  The 70-gene signature as a response predictor for neoadjuvant chemotherapy in breast cancer.

Authors:  Marieke E Straver; Annuska M Glas; Juliane Hannemann; Jelle Wesseling; Marc J van de Vijver; Emiel J Th Rutgers; Marie-Jeanne T F D Vrancken Peeters; Harm van Tinteren; Laura J Van't Veer; Sjoerd Rodenhuis
Journal:  Breast Cancer Res Treat       Date:  2009-02-13       Impact factor: 4.872

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Authors:  Marc Buyse; Sherene Loi; Laura van't Veer; Giuseppe Viale; Mauro Delorenzi; Annuska M Glas; Mahasti Saghatchian d'Assignies; Jonas Bergh; Rosette Lidereau; Paul Ellis; Adrian Harris; Jan Bogaerts; Patrick Therasse; Arno Floore; Mohamed Amakrane; Fanny Piette; Emiel Rutgers; Christos Sotiriou; Fatima Cardoso; Martine J Piccart
Journal:  J Natl Cancer Inst       Date:  2006-09-06       Impact factor: 13.506

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Authors:  C Davies; J Godwin; R Gray; M Clarke; D Cutter; S Darby; P McGale; H C Pan; C Taylor; Y C Wang; M Dowsett; J Ingle; R Peto
Journal:  Lancet       Date:  2011-07-28       Impact factor: 79.321

9.  A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients.

Authors:  Laurel A Habel; Steven Shak; Marlena K Jacobs; Angela Capra; Claire Alexander; Mylan Pho; Joffre Baker; Michael Walker; Drew Watson; James Hackett; Noelle T Blick; Deborah Greenberg; Louis Fehrenbacher; Bryan Langholz; Charles P Quesenberry
Journal:  Breast Cancer Res       Date:  2006-05-31       Impact factor: 6.466

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Authors:  A Goldhirsch; J N Ingle; R D Gelber; A S Coates; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2009-06-17       Impact factor: 32.976

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2.  Gene expression profiling leads to discovery of correlation of matrix metalloproteinase 11 and heparanase 2 in breast cancer progression.

Authors:  Junjie Fu; Ravil Khaybullin; Yanping Zhang; Amy Xia; Xin Qi
Journal:  BMC Cancer       Date:  2015-06-18       Impact factor: 4.430

Review 3.  Future directions for the early detection of recurrent breast cancer.

Authors:  Erika J Schneble; Lindsey J Graham; Matthew P Shupe; Frederick L Flynt; Kevin P Banks; Aaron D Kirkpatrick; Aviram Nissan; Leonard Henry; Alexander Stojadinovic; Nathan M Shumway; Itzhak Avital; George E Peoples; Robert F Setlik
Journal:  J Cancer       Date:  2014-03-16       Impact factor: 4.207

4.  Association of 70-Gene Signature Assay Findings With Physicians' Treatment Guidance for Patients With Early Breast Cancer Classified as Intermediate Risk by the 21-Gene Assay.

Authors:  Michaela Tsai; Shelly Lo; William Audeh; Rubina Qamar; Raye Budway; Ellis Levine; Pat Whitworth; Blanche Mavromatis; Robin Zon; Dwight Oldham; Sarah Untch; Tina Treece; Lisa Blumencranz; Hatem Soliman
Journal:  JAMA Oncol       Date:  2018-01-11       Impact factor: 31.777

5.  Molecular subtyping of breast cancer intrinsic taxonomy with oligonucleotide microarray and NanoString nCounter.

Authors:  Yen-Jen Chen; Ching-Shui Huang; Nam-Nhut Phan; Tzu-Pin Lu; Chih-Yi Liu; Chi-Jung Huang; Jen-Hwey Chiu; Ling-Ming Tseng; Chi-Cheng Huang
Journal:  Biosci Rep       Date:  2021-08-27       Impact factor: 3.840

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