Literature DB >> 22987965

Genomic analyses to select patients for adjuvant chemotherapy: trials and tribulations.

B Weigelt1, J S Reis-Filho, C Swanton.   

Abstract

Despite improvements in adjuvant chemotherapy regimens in breast cancer, personalised use of specific cytotoxic regimens remains a clinical challenge. Defining the correct therapeutic strategy for individual patients with breast cancer based on the genomic and transcriptomic characteristics of the tumour and the patient remains an area of unmet clinical need. Despite the promise of microarray-based predictors of response to chemotherapy, clinical decisions are still guided by a limited constellation of biomarkers. In this review we will address current genomic and transcriptomic approaches to the stratification of adjuvant therapies in breast cancer, the reasons for the limited success in the incorporation of novel multi-gene predictors of response to chemotherapy in clinical practice and focus on new approaches that aim to understand the clonal evolution of the disease. The polygenic nature of drug resistance, and inter- and intra-tumour heterogeneity are considered as important research areas, given that they may constitute important challenges for the development of chemotherapy-specific response predictors.

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Year:  2012        PMID: 22987965     DOI: 10.1093/annonc/mds323

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  14 in total

Review 1.  [Gene expression analysis in breast cancer. A new diagnostic tool in pathology].

Authors:  C Denkert
Journal:  Pathologe       Date:  2013-09       Impact factor: 1.011

2.  Hippo pathway mediates resistance to cytotoxic drugs.

Authors:  Taranjit S Gujral; Marc W Kirschner
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-17       Impact factor: 11.205

3.  Intratumor Heterogeneity Affects Gene Expression Profile Test Prognostic Risk Stratification in Early Breast Cancer.

Authors:  Rekha Gyanchandani; Yan Lin; Hui-Min Lin; Kristine Cooper; Daniel P Normolle; Adam Brufsky; Michael Fastuca; Whitney Crosson; Steffi Oesterreich; Nancy E Davidson; Rohit Bhargava; David J Dabbs; Adrian V Lee
Journal:  Clin Cancer Res       Date:  2016-05-16       Impact factor: 12.531

4.  The EndoPredict Gene-Expression Assay in Clinical Practice - Performance and Impact on Clinical Decisions.

Authors:  Berit Maria Müller; Elke Keil; Annika Lehmann; Klaus-Jürgen Winzer; Christiane Richter-Ehrenstein; Judith Prinzler; Nikola Bangemann; Angela Reles; Sylvia Stadie; Winfried Schoenegg; Jan Eucker; Marcus Schmidt; Frank Lippek; Korinna Jöhrens; Stefan Pahl; Bruno Valentin Sinn; Jan Budczies; Manfred Dietel; Carsten Denkert
Journal:  PLoS One       Date:  2013-06-27       Impact factor: 3.240

5.  The Long-HER study: clinical and molecular analysis of patients with HER2+ advanced breast cancer who become long-term survivors with trastuzumab-based therapy.

Authors:  Angelo Gámez-Pozo; Ramón M Pérez Carrión; Luis Manso; Carmen Crespo; Cesar Mendiola; Rocío López-Vacas; Julia Berges-Soria; Isabel Álvarez López; Mireia Margeli; Juan L Bayo Calero; Xavier González Farre; Ana Santaballa; Eva M Ciruelos; Ruth Afonso; Juan Lao; Gustavo Catalán; José V Álvarez Gallego; José Miramón López; Francisco J Salvador Bofill; Manuel Ruiz Borrego; Enrique Espinosa; Juan A Fresno Vara; Pilar Zamora
Journal:  PLoS One       Date:  2014-10-20       Impact factor: 3.240

6.  Cost-effectiveness analysis of prognostic gene expression signature-based stratification of early breast cancer patients.

Authors:  Patricia R Blank; Martin Filipits; Peter Dubsky; Florian Gutzwiller; Michael P Lux; Jan C Brase; Karsten E Weber; Margaretha Rudas; Richard Greil; Sibylle Loibl; Thomas D Szucs; Ralf Kronenwett; Matthias Schwenkglenks; Michael Gnant
Journal:  Pharmacoeconomics       Date:  2015-02       Impact factor: 4.981

7.  Nottingham Prognostic Index Plus: Validation of a clinical decision making tool in breast cancer in an independent series.

Authors:  Andrew R Green; Daniele Soria; Jacqueline Stephen; Desmond G Powe; Christopher C Nolan; Ian Kunkler; Jeremy Thomas; Gillian R Kerr; Wilma Jack; David Cameron; Tammy Piper; Graham R Ball; Jonathan M Garibaldi; Emad A Rakha; John Ms Bartlett; Ian O Ellis
Journal:  J Pathol Clin Res       Date:  2016-01-15

Review 8.  From High-Throughput Microarray-Based Screening to Clinical Application: The Development of a Second Generation Multigene Test for Breast Cancer Prognosis.

Authors:  Jan C Brase; Ralf Kronenwett; Christoph Petry; Carsten Denkert; Marcus Schmidt
Journal:  Microarrays (Basel)       Date:  2013-08-29

9.  Comparison of EndoPredict and Oncotype DX test results in hormone receptor positive invasive breast cancer.

Authors:  Zsuzsanna Varga; Peter Sinn; Florian Fritzsche; Arthur von Hochstetter; Aurelia Noske; Peter Schraml; Christoph Tausch; Andreas Trojan; Holger Moch
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

10.  Nottingham prognostic index plus (NPI+) predicts risk of distant metastases in primary breast cancer.

Authors:  Andrew R Green; D Soria; D G Powe; C C Nolan; M Aleskandarany; M A Szász; A M Tőkés; G R Ball; J M Garibaldi; E A Rakha; J Kulka; I O Ellis
Journal:  Breast Cancer Res Treat       Date:  2016-04-26       Impact factor: 4.872

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