Literature DB >> 17080180

Molecular classification of breast cancer: implications for selection of adjuvant chemotherapy.

Fabrice Andre1, Lajos Pusztai.   

Abstract

Adjuvant chemotherapy improves survival of patients with stage I-III breast cancer but it is being increasingly recognized that the benefit is not equal for all patients. Molecular characteristics of the cancer affect sensitivity to chemotherapy. In general, estrogen-receptor-negative disease is more sensitive to chemotherapy than estrogren-receptor-positive disease. Large-scale genomic analyses of breast cancer suggest that further molecular subsets may exist within the categories defined by hormone receptor status. It is hoped that the new molecular classification schemes might improve patient selection for therapy. Before any new molecular classification (or predictive test) is adopted for routine clinical use, however, several criteria need to be met. There must be an agreed and reproducible method by which to assign molecular class to a new case. Cancers that belong to different molecular classes must show differences in disease outcome and treatment efficacy that affect management and treatment selection. Also desirable are results from prospective clinical trials that demonstrate improved patient outcome when the new test is used in decision-making, compared with the current standard of care. This Review describes the current limitations and future promises of gene-expression-based molecular classification of breast cancer and how it might impact on selection of adjuvant therapy for individual patients.

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Year:  2006        PMID: 17080180     DOI: 10.1038/ncponc0636

Source DB:  PubMed          Journal:  Nat Clin Pract Oncol        ISSN: 1743-4254


  43 in total

1.  A three-gene model to robustly identify breast cancer molecular subtypes.

Authors:  Benjamin Haibe-Kains; Christine Desmedt; Sherene Loi; Aedin C Culhane; Gianluca Bontempi; John Quackenbush; Christos Sotiriou
Journal:  J Natl Cancer Inst       Date:  2012-01-18       Impact factor: 13.506

Review 2.  Molecular Classification of Breast Carcinoma: From Traditional, Old-Fashioned Way to A New Age, and A New Way.

Authors:  Nuket Eliyatkın; Evrim Yalçın; Baha Zengel; Safiye Aktaş; Enver Vardar
Journal:  J Breast Health       Date:  2015-04-01

Review 3.  Statistical consideration for clinical biomarker research in bladder cancer.

Authors:  Shahrokh F Shariat; Yair Lotan; Andrew Vickers; Pierre I Karakiewicz; Bernd J Schmitz-Dräger; Peter J Goebell; Nuria Malats
Journal:  Urol Oncol       Date:  2010 Jul-Aug       Impact factor: 3.498

4.  Cyclophosphamide dose intensification may circumvent anthracycline resistance of p53 mutant breast cancers.

Authors:  Jacqueline Lehmann-Che; Fabrice André; Christine Desmedt; Chafika Mazouni; Sylvie Giacchetti; Elisabeth Turpin; Marc Espié; Louis-François Plassa; Michel Marty; Philippe Bertheau; Christos Sotiriou; Martine Piccart; W Fraser Symmans; Lajos Pusztai; Hugues de Thé
Journal:  Oncologist       Date:  2010-03-12

5.  Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue.

Authors:  Janine Antonov; Vlad Popovici; Mauro Delorenzi; Pratyaksha Wirapati; Anna Baltzer; Andrea Oberli; Beat Thürlimann; Anita Giobbie-Hurder; Giuseppe Viale; Hans Jörg Altermatt; Stefan Aebi; Rolf Jaggi
Journal:  BMC Cancer       Date:  2010-02-09       Impact factor: 4.430

6.  Side-population cells in luminal-type breast cancer have tumour-initiating cell properties, and are regulated by HER2 expression and signalling.

Authors:  T Nakanishi; S Chumsri; N Khakpour; A H Brodie; B Leyland-Jones; A W Hamburger; D D Ross; A M Burger
Journal:  Br J Cancer       Date:  2010-02-09       Impact factor: 7.640

7.  Copy number analysis of ductal carcinoma in situ with and without recurrence.

Authors:  Kylie L Gorringe; Sally M Hunter; Jia-Min Pang; Ken Opeskin; Prue Hill; Simone M Rowley; David Y H Choong; Ella R Thompson; Alexander Dobrovic; Stephen B Fox; G Bruce Mann; Ian G Campbell
Journal:  Mod Pathol       Date:  2015-06-19       Impact factor: 7.842

8.  Molecular profiling of prostatic acinar morphogenesis identifies PDCD4 and KLF6 as tissue architecture-specific prognostic markers in prostate cancer.

Authors:  Chi-Rong Li; Jimmy J-M Su; Wei-Yu Wang; Michael T-L Lee; Ting-Yun Wang; Kuan-Ying Jiang; Chein-Feng Li; Jong-Ming Hsu; Chi-Kuan Chen; Marcelo Chen; Shih-Sheng Jiang; Valerie M Weaver; Kelvin K-C Tsai
Journal:  Am J Pathol       Date:  2012-12-04       Impact factor: 4.307

Review 9.  [Genome-wide expression profiling as a clinical tool: are we there yet?].

Authors:  F C Geyer; T Decker; J S Reis-Filho
Journal:  Pathologe       Date:  2009-03       Impact factor: 1.011

10.  MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering.

Authors:  Eun-Youn Kim; Seon-Young Kim; Daniel Ashlock; Dougu Nam
Journal:  BMC Bioinformatics       Date:  2009-08-22       Impact factor: 3.169

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