Literature DB >> 20554119

Personalized treatment of early-stage breast cancer: present concepts and future directions.

Nadia Harbeck1, Marwa Salem, Ulrike Nitz, Oleg Gluz, Cornelia Liedtke.   

Abstract

Breast cancer is the most common malignancy in women. Effective loco-regional as well as systemic treatment options have rendered breast cancer a curable disease for the vast majority of early-stage patients. Considering tumor biology and clinical outcomes, breast cancer is a very heterogeneous disease. With the recent understanding of distinct molecular sub-types, the era of "one size fits all" therapy concepts has passed and a new era of personalized therapy concepts has started. This review will focus on recent advances in personalized treatment of early-stage breast cancer, with a particular interest in tumor biology-guided treatment decisions. It will also highlight how carefully molecular tests need to be methodologically and clinically validated before they can be applied for clinical decision making.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20554119     DOI: 10.1016/j.ctrv.2010.04.007

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  16 in total

1.  Pharmacogenetic assessment of clinical outcome in patients with metastatic breast cancer treated with docetaxel plus capecitabine.

Authors:  Ningning Dong; Jing Yu; Chaoying Wang; Xiaohui Zheng; Zheng Wang; Lijun Di; Guohong Song; Budong Zhu; Li Che; Jun Jia; Hanfang Jiang; Xinna Zhou; Xiaoli Wang; Jun Ren
Journal:  J Cancer Res Clin Oncol       Date:  2012-03-17       Impact factor: 4.553

2.  Three-Dimensional Mechanical Loading Modulates the Osteogenic Response of Mesenchymal Stem Cells to Tumor-Derived Soluble Signals.

Authors:  Maureen E Lynch; Aaron E Chiou; Min Joon Lee; Stephen C Marcott; Praveen V Polamraju; Yeonkyung Lee; Claudia Fischbach
Journal:  Tissue Eng Part A       Date:  2016-08-01       Impact factor: 3.845

Review 3.  Miniaturized pre-clinical cancer models as research and diagnostic tools.

Authors:  Maria Håkanson; Edna Cukierman; Mirren Charnley
Journal:  Adv Drug Deliv Rev       Date:  2013-12-01       Impact factor: 15.470

4.  [Breast cancer. Individualized therapy concepts].

Authors:  N Harbeck; R Wuerstlein
Journal:  Internist (Berl)       Date:  2013-02       Impact factor: 0.743

5.  Ubiquitin- and ubiquitin-like proteins-conjugating enzymes (E2s) in breast cancer.

Authors:  Ioannis A Voutsadakis
Journal:  Mol Biol Rep       Date:  2012-11-28       Impact factor: 2.316

6.  The role of genetic breast cancer susceptibility variants as prognostic factors.

Authors:  Peter A Fasching; Paul D P Pharoah; Angela Cox; Heli Nevanlinna; Stig E Bojesen; Thomas Karn; Annegien Broeks; Flora E van Leeuwen; Laura J van't Veer; Renate Udo; Alison M Dunning; Dario Greco; Kristiina Aittomäki; Carl Blomqvist; Mitul Shah; Børge G Nordestgaard; Henrik Flyger; John L Hopper; Melissa C Southey; Carmel Apicella; Montserrat Garcia-Closas; Mark Sherman; Jolanta Lissowska; Caroline Seynaeve; Petra E A Huijts; Rob A E M Tollenaar; Argyrios Ziogas; Arif B Ekici; Claudia Rauh; Arto Mannermaa; Vesa Kataja; Veli-Matti Kosma; Jaana M Hartikainen; Irene L Andrulis; Hilmi Ozcelik; Anna-Marie Mulligan; Gord Glendon; Per Hall; Kamila Czene; Jianjun Liu; Jenny Chang-Claude; Shan Wang-Gohrke; Ursula Eilber; Stefan Nickels; Thilo Dörk; Maria Schiekel; Michael Bremer; Tjoung-Won Park-Simon; Graham G Giles; Gianluca Severi; Laura Baglietto; Maartje J Hooning; John W M Martens; Agnes Jager; Mieke Kriege; Annika Lindblom; Sara Margolin; Fergus J Couch; Kristen N Stevens; Janet E Olson; Matthew Kosel; Simon S Cross; Sabapathy P Balasubramanian; Malcolm W R Reed; Alexander Miron; Esther M John; Robert Winqvist; Katri Pylkäs; Arja Jukkola-Vuorinen; Saila Kauppila; Barbara Burwinkel; Frederik Marme; Andreas Schneeweiss; Christof Sohn; Georgia Chenevix-Trench; Diether Lambrechts; Anne-Sophie Dieudonne; Sigrid Hatse; Erik van Limbergen; Javier Benitez; Roger L Milne; M Pilar Zamora; José Ignacio Arias Pérez; Bernardo Bonanni; Bernard Peissel; Bernard Loris; Paolo Peterlongo; Preetha Rajaraman; Sara J Schonfeld; Hoda Anton-Culver; Peter Devilee; Matthias W Beckmann; Dennis J Slamon; Kelly-Anne Phillips; Jonine D Figueroa; Manjeet K Humphreys; Douglas F Easton; Marjanka K Schmidt
Journal:  Hum Mol Genet       Date:  2012-04-24       Impact factor: 6.150

7.  Prospective evaluation of prognostic factors uPA/PAI-1 in node-negative breast cancer: phase III NNBC3-Europe trial (AGO, GBG, EORTC-PBG) comparing 6×FEC versus 3×FEC/3×Docetaxel.

Authors:  Eva J Kantelhardt; Martina Vetter; Marcus Schmidt; Corinne Veyret; Doris Augustin; Volker Hanf; Christoph Meisner; Daniela Paepke; Manfred Schmitt; Fred Sweep; Gunter von Minckwitz; Pierre-Marie Martin; Fritz Jaenicke; Christoph Thomssen; Nadia Harbeck
Journal:  BMC Cancer       Date:  2011-04-16       Impact factor: 4.430

8.  Ki67, chemotherapy response, and prognosis in breast cancer patients receiving neoadjuvant treatment.

Authors:  Peter A Fasching; Katharina Heusinger; Lothar Haeberle; Melitta Niklos; Alexander Hein; Christian M Bayer; Claudia Rauh; Ruediger Schulz-Wendtland; Mayada R Bani; Michael Schrauder; Laura Kahmann; Michael P Lux; Johanna D Strehl; Arndt Hartmann; Arno Dimmler; Matthias W Beckmann; David L Wachter
Journal:  BMC Cancer       Date:  2011-11-14       Impact factor: 4.430

Review 9.  Ki-67: level of evidence and methodological considerations for its role in the clinical management of breast cancer: analytical and critical review.

Authors:  Elisabeth Luporsi; Fabrice André; Frédérique Spyratos; Pierre-Marie Martin; Jocelyne Jacquemier; Frédérique Penault-Llorca; Nicole Tubiana-Mathieu; Brigitte Sigal-Zafrani; Laurent Arnould; Anne Gompel; Caroline Egele; Bruno Poulet; Krishna B Clough; Hubert Crouet; Alain Fourquet; Jean-Pierre Lefranc; Carole Mathelin; Nicolas Rouyer; Daniel Serin; Marc Spielmann; Margaret Haugh; Marie-Pierre Chenard; Etienne Brain; Patricia de Cremoux; Jean-Pierre Bellocq
Journal:  Breast Cancer Res Treat       Date:  2011-11-03       Impact factor: 4.872

10.  Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry.

Authors:  E C Inwald; M Klinkhammer-Schalke; F Hofstädter; F Zeman; M Koller; M Gerstenhauer; O Ortmann
Journal:  Breast Cancer Res Treat       Date:  2013-05-16       Impact factor: 4.872

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