Literature DB >> 25836324

[Molecular pathology for breast cancer: Importance of the gene expression profile].

C Denkert1, B M Pfitzner, B I Heppner, M Dietel.   

Abstract

Gene expression arrays are currently used to guide therapy decisions in breast cancer. The indications for gene expression tests are especially important in the group of hormone receptor negative, HER2 positive tumors to decide whether endocrine therapy alone is sufficient or additional chemotherapy is necessary. In this group of luminal tumors conventional clinicopathological parameters are often not suitable to select patients who would benefit from an endocrine therapy alone. Gene expression tests can provide additional information and, therefore, support decision-making and avoid unnecessary chemotherapy. There are a variety of test systems available which poses the questions of which tests should be selected for which patients and how the test results should be evaluated in a direct comparison. This report provides information about three currently available gene expression tests (i.e. OncotypeDx®, Endopredict® and PAM50/Prosigna®), comments on similarities and differences and discusses the impact on therapy decisions. The focus of this article is on a discussion of clinical studies that have compared the different molecular tests in the same clinical study cohort. These investigations allow a first comparative evaluation of the various assays for breast cancer.

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Year:  2015        PMID: 25836324     DOI: 10.1007/s00292-015-0009-z

Source DB:  PubMed          Journal:  Pathologe        ISSN: 0172-8113            Impact factor:   1.011


  36 in total

1.  Comparison of the prognostic and predictive utilities of the 21-gene Recurrence Score assay and Adjuvant! for women with node-negative, ER-positive breast cancer: results from NSABP B-14 and NSABP B-20.

Authors:  Gong Tang; Steven Shak; Soonmyung Paik; Stewart J Anderson; Joseph P Costantino; Charles E Geyer; Eleftherios P Mamounas; D Lawrence Wickerham; Norman Wolmark
Journal:  Breast Cancer Res Treat       Date:  2011-01-11       Impact factor: 4.872

2.  Treatment with adjuvant endocrine therapy for early-stage breast cancer: is it forever?

Authors:  Beth Overmoyer
Journal:  J Clin Oncol       Date:  2015-01-26       Impact factor: 44.544

Review 3.  Molecular tests as prognostic factors in breast cancer.

Authors:  Marc J van de Vijver
Journal:  Virchows Arch       Date:  2014-02-01       Impact factor: 4.064

4.  Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility.

Authors:  P Sinn; S Aulmann; R Wirtz; S Schott; F Marmé; Z Varga; A Lebeau; H Kreipe; A Schneeweiss
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-09       Impact factor: 2.915

5.  The PAM50 risk-of-recurrence score predicts risk for late distant recurrence after endocrine therapy in postmenopausal women with endocrine-responsive early breast cancer.

Authors:  Martin Filipits; Torsten O Nielsen; Margaretha Rudas; Richard Greil; Herbert Stöger; Raimund Jakesz; Zsuzsanna Bago-Horvath; Otto Dietze; Peter Regitnig; Christine Gruber-Rossipal; Elisabeth Müller-Holzner; Christian F Singer; Brigitte Mlineritsch; Peter Dubsky; Thomas Bauernhofer; Michael Hubalek; Michael Knauer; Harald Trapl; Christian Fesl; Carl Schaper; Sean Ferree; Shuzhen Liu; J Wayne Cowens; Michael Gnant
Journal:  Clin Cancer Res       Date:  2014-02-11       Impact factor: 12.531

6.  Supervised risk predictor of breast cancer based on intrinsic subtypes.

Authors:  Joel S Parker; Michael Mullins; Maggie C U Cheang; Samuel Leung; David Voduc; Tammi Vickery; Sherri Davies; Christiane Fauron; Xiaping He; Zhiyuan Hu; John F Quackenbush; Inge J Stijleman; Juan Palazzo; J S Marron; Andrew B Nobel; Elaine Mardis; Torsten O Nielsen; Matthew J Ellis; Charles M Perou; Philip S Bernard
Journal:  J Clin Oncol       Date:  2009-02-09       Impact factor: 44.544

7.  Prediction of risk of distant recurrence using the 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer treated with anastrozole or tamoxifen: a TransATAC study.

Authors:  Mitch Dowsett; Jack Cuzick; Christopher Wale; John Forbes; Elizabeth A Mallon; Janine Salter; Emma Quinn; Anita Dunbier; Michael Baum; Aman Buzdar; Anthony Howell; Roberto Bugarini; Frederick L Baehner; Steven Shak
Journal:  J Clin Oncol       Date:  2010-03-08       Impact factor: 44.544

8.  Comparison of PAM50 risk of recurrence score with oncotype DX and IHC4 for predicting risk of distant recurrence after endocrine therapy.

Authors:  Mitch Dowsett; Ivana Sestak; Elena Lopez-Knowles; Kalvinder Sidhu; Anita K Dunbier; J Wayne Cowens; Sean Ferree; James Storhoff; Carl Schaper; Jack Cuzick
Journal:  J Clin Oncol       Date:  2013-07-01       Impact factor: 44.544

9.  Analytical validation of the PAM50-based Prosigna Breast Cancer Prognostic Gene Signature Assay and nCounter Analysis System using formalin-fixed paraffin-embedded breast tumor specimens.

Authors:  Torsten Nielsen; Brett Wallden; Carl Schaper; Sean Ferree; Shuzhen Liu; Dongxia Gao; Garrett Barry; Naeem Dowidar; Malini Maysuria; James Storhoff
Journal:  BMC Cancer       Date:  2014-03-13       Impact factor: 4.430

10.  Clinical validation of the EndoPredict test in node-positive, chemotherapy-treated ER+/HER2- breast cancer patients: results from the GEICAM 9906 trial.

Authors:  Miguel Martin; Jan C Brase; Lourdes Calvo; Kristin Krappmann; Manuel Ruiz-Borrego; Karin Fisch; Amparo Ruiz; Karsten E Weber; Blanca Munarriz; Christoph Petry; Cesar A Rodriguez; Ralf Kronenwett; Carmen Crespo; Emilio Alba; Eva Carrasco; Maribel Casas; Rosalia Caballero; Alvaro Rodriguez-Lescure
Journal:  Breast Cancer Res       Date:  2014-04-12       Impact factor: 6.466

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  4 in total

Review 1.  Tumor-Infiltrating Lymphocytes: A Promising Biomarker in Breast Cancer.

Authors:  Barbara Ingold Heppner; Sibylle Loibl; Carsten Denkert
Journal:  Breast Care (Basel)       Date:  2016-04-26       Impact factor: 2.860

2.  Eugenol alleviated breast precancerous lesions through HER2/PI3K-AKT pathway-induced cell apoptosis and S-phase arrest.

Authors:  Min Ma; Yi Ma; Gui-Juan Zhang; Rui Liao; Xue-Feng Jiang; Xian-Xin Yan; Feng-Jie Bie; Xiao-Bo Li; Yan-Hong Lv
Journal:  Oncotarget       Date:  2017-05-05

3.  Six novel immunoglobulin genes as biomarkers for better prognosis in triple-negative breast cancer by gene co-expression network analysis.

Authors:  Huan-Ming Hsu; Chi-Ming Chu; Yu-Jia Chang; Jyh-Cherng Yu; Chien-Ting Chen; Chen-En Jian; Chia-Yi Lee; Yueh-Tao Chiang; Chi-Wen Chang; Yu-Tien Chang
Journal:  Sci Rep       Date:  2019-03-14       Impact factor: 4.379

4.  An international comparability study on quantification of mRNA gene expression ratios: CCQM-P103.1.

Authors:  Alison S Devonshire; Rebecca Sanders; Alexandra S Whale; Gavin J Nixon; Simon Cowen; Stephen L R Ellison; Helen Parkes; P Scott Pine; Marc Salit; Jennifer McDaniel; Sarah Munro; Steve Lund; Satoko Matsukura; Yuji Sekiguchi; Mamoru Kawaharasaki; José Mauro Granjeiro; Priscila Falagan-Lotsch; Antonio Marcos Saraiva; Paulo Couto; Inchul Yang; Hyerim Kwon; Sang-Ryoul Park; Tina Demšar; Jana Žel; Andrej Blejec; Mojca Milavec; Lianhua Dong; Ling Zhang; Zhiwei Sui; Jing Wang; Duangkamol Viroonudomphol; Chaiwat Prawettongsopon; Lina Partis; Anna Baoutina; Kerry Emslie; Akiko Takatsu; Sema Akyurek; Muslum Akgoz; Maxim Vonsky; L A Konopelko; Edna Matus Cundapi; Melina Pérez Urquiza; Jim F Huggett; Carole A Foy
Journal:  Biomol Detect Quantif       Date:  2016-06-06
  4 in total

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