Literature DB >> 25493218

Emerging gene-based prognostic tools in early breast cancer: First steps to personalised medicine.

Umar Wazir1, Kefah Mokbel1.   

Abstract

Breast cancer remains a major cause of neoplastic disease in much of the developed world. The majority of cases are diagnosed with oestrogen receptor (ER)-positive and human epidermal growth factor receptor-2 negative invasive ductal carcinoma and are treated predominantly by surgery which includes sentinel node biopsy and adjuvant endocrine therapy ± adjuvant radiotherapy. It is believed that an indeterminate subset of the patient population is needlessly incurring chemotherapy related morbidity without attaining any increase in survival due to therapy. Furthermore in the era of extended adjuvant endocrine therapy it is important to identify those patients who can be safely treated with 5 years rather than 10 years of endocrine therapy thus optimising the benefit-risk balance. This perception has propelled the development of more personalised prognostic tools for newly diagnosed cases of ER-positive breast cancer. In this article, we shall review the evidence regarding the currently available gene assays for human breast cancer.

Entities:  

Keywords:  Breast cancer; Personalised medicine; Polymerase chain reaction; Prognosis

Year:  2014        PMID: 25493218      PMCID: PMC4259942          DOI: 10.5306/wjco.v5.i5.795

Source DB:  PubMed          Journal:  World J Clin Oncol        ISSN: 2218-4333


  30 in total

1.  Digital multiplexed gene expression analysis using the NanoString nCounter system.

Authors:  Meghana M Kulkarni
Journal:  Curr Protoc Mol Biol       Date:  2011-04

2.  A new molecular predictor of distant recurrence in ER-positive, HER2-negative breast cancer adds independent information to conventional clinical risk factors.

Authors:  Martin Filipits; Margaretha Rudas; Raimund Jakesz; Peter Dubsky; Florian Fitzal; Christian F Singer; Otto Dietze; Richard Greil; Andrea Jelen; Paul Sevelda; Christa Freibauer; Volkmar Müller; Fritz Jänicke; Marcus Schmidt; Heinz Kölbl; Achim Rody; Manfred Kaufmann; Werner Schroth; Hiltrud Brauch; Matthias Schwab; Peter Fritz; Karsten E Weber; Inke S Feder; Guido Hennig; Ralf Kronenwett; Mathias Gehrmann; Michael Gnant
Journal:  Clin Cancer Res       Date:  2011-08-01       Impact factor: 12.531

3.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

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.  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

6.  Decentral gene expression analysis for ER+/Her2- breast cancer: results of a proficiency testing program for the EndoPredict assay.

Authors:  Carsten Denkert; Ralf Kronenwett; Werner Schlake; Kerstin Bohmann; Roland Penzel; Karsten E Weber; Heinz Höfler; Ulrich Lehmann; Peter Schirmacher; Katja Specht; Margaretha Rudas; Hans-Heinrich Kreipe; Peter Schraml; Gudrun Schlake; Zsuzsanna Bago-Horvath; Frank Tiecke; Zsuzsanna Varga; Holger Moch; Marcus Schmidt; Judith Prinzler; Dontscho Kerjaschki; Bruno Valentin Sinn; Berit Maria Müller; Martin Filipits; Christoph Petry; Manfred Dietel
Journal:  Virchows Arch       Date:  2012-02-28       Impact factor: 4.064

Review 7.  Molecular profiling for breast cancer: a comprehensive review.

Authors:  Muaiad Kittaneh; Alberto J Montero; Stefan Glück
Journal:  Biomark Cancer       Date:  2013-10-29

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.  A prediction-based resampling method for estimating the number of clusters in a dataset.

Authors:  Sandrine Dudoit; Jane Fridlyand
Journal:  Genome Biol       Date:  2002-06-25       Impact factor: 13.583

10.  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

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  4 in total

1.  Tumor biology in estrogen receptor-positive, human epidermal growth factor receptor type 2-negative breast cancer: Mind the menopausal status.

Authors:  Hiroko Yamashita
Journal:  World J Clin Oncol       Date:  2015-12-10

Review 2.  Systematic review and meta-analysis of the impact of tumour budding in colorectal cancer.

Authors:  A C Rogers; D C Winter; A Heeney; D Gibbons; A Lugli; G Puppa; K Sheahan
Journal:  Br J Cancer       Date:  2016-09-06       Impact factor: 7.640

Review 3.  Are online prediction tools a valid alternative to genomic profiling in the context of systemic treatment of ER-positive breast cancer?

Authors:  Umar Wazir; Kinan Mokbel; Amtul Carmichael; Kefah Mokbel
Journal:  Cell Mol Biol Lett       Date:  2017-09-04       Impact factor: 5.787

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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