Literature DB >> 18230798

Predictive value of tumor Ki-67 expression in two randomized trials of adjuvant chemoendocrine therapy for node-negative breast cancer.

Giuseppe Viale1, Meredith M Regan, Mauro G Mastropasqua, Fausto Maffini, Eugenio Maiorano, Marco Colleoni, Karen N Price, Rastko Golouh, Tiziana Perin, R W Brown, Anikó Kovács, Komala Pillay, Christian Ohlschlegel, Barry A Gusterson, Monica Castiglione-Gertsch, Richard D Gelber, Aron Goldhirsch, Alan S Coates.   

Abstract

Several small studies have reported that having a high percentage of breast tumor cells that express the proliferation antigen Ki-67 (ie, a high Ki-67 labeling index) predicts better response to neoadjuvant chemotherapy. However, the predictive value of a high Ki-67 labeling index for response to adjuvant chemotherapy is unclear. To investigate whether Ki-67 labeling index predicts response to adjuvant chemoendocrine therapy, we assessed Ki-67 expression in tumor tissue from 1924 (70%) of 2732 patients who were enrolled in two randomized International Breast Cancer Study Group trials of adjuvant chemoendocrine therapy vs endocrine therapy alone for node-negative breast cancer. A high Ki-67 labeling index was associated with other factors that predict poor prognosis. Among the 1521 patients with endocrine-responsive tumors, a high Ki-67 labeling index was associated with worse disease-free survival but the Ki-67 labeling index did not predict the relative efficacy of chemoendocrine therapy compared with endocrine therapy alone. Thus, Ki-67 labeling index was an independent prognostic factor but was not predictive of better response to adjuvant chemotherapy in these studies.

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Year:  2008        PMID: 18230798     DOI: 10.1093/jnci/djm289

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  75 in total

1.  Classical cyclophosphamide, methotrexate, and fluorouracil chemotherapy is more effective in triple-negative, node-negative breast cancer: results from two randomized trials of adjuvant chemoendocrine therapy for node-negative breast cancer.

Authors:  Marco Colleoni; Bernard F Cole; Giuseppe Viale; Meredith M Regan; Karen N Price; Eugenio Maiorano; Mauro G Mastropasqua; Diana Crivellari; Richard D Gelber; Aron Goldhirsch; Alan S Coates; Barry A Gusterson
Journal:  J Clin Oncol       Date:  2010-05-10       Impact factor: 44.544

2.  Adjuvant Systemic Therapy, Quo Vadis? Patient Selection, Prognostic and Predictive Factors.

Authors:  Fatima Cardoso
Journal:  Breast Care (Basel)       Date:  2008-12-02       Impact factor: 2.860

3.  Is Chemoendocrine Treatment without Alternative?

Authors:  Richard Greil
Journal:  Breast Care (Basel)       Date:  2008-08-22       Impact factor: 2.860

4.  Differential efficacy of three cycles of CMF followed by tamoxifen in patients with ER-positive and ER-negative tumors: long-term follow up on IBCSG Trial IX.

Authors:  S Aebi; Z Sun; D Braun; K N Price; M Castiglione-Gertsch; M Rabaglio; R D Gelber; D Crivellari; J Lindtner; R Snyder; P Karlsson; E Simoncini; B A Gusterson; G Viale; M M Regan; A S Coates; A Goldhirsch
Journal:  Ann Oncol       Date:  2011-01-31       Impact factor: 32.976

5.  The use of digital images improves reproducibility of the ki-67 labeling index as a proliferation marker in breast cancer.

Authors:  András Vörös; Erika Csörgő; Bence Kővári; Péter Lázár; Gyöngyi Kelemen; Gábor Cserni
Journal:  Pathol Oncol Res       Date:  2013-11-08       Impact factor: 3.201

6.  Prognostic value of ki-67 in breast carcinoma: tissue microarray method versus whole section analysis- potentials and pitfalls.

Authors:  Natalija Dedić Plavetić; Jasminka Jakić-Razumović; Ana Kulić; Maja Sirotković-Skerlev; Marina Barić; Damir Vrbanec
Journal:  Pathol Oncol Res       Date:  2014-08-06       Impact factor: 3.201

7.  Prognostic and predictive value of centrally reviewed Ki-67 labeling index in postmenopausal women with endocrine-responsive breast cancer: results from Breast International Group Trial 1-98 comparing adjuvant tamoxifen with letrozole.

Authors:  Giuseppe Viale; Anita Giobbie-Hurder; Meredith M Regan; Alan S Coates; Mauro G Mastropasqua; Patrizia Dell'Orto; Eugenio Maiorano; Gaëtan MacGrogan; Stephen G Braye; Christian Ohlschlegel; Patrick Neven; Zsolt Orosz; Wojciech P Olszewski; Fiona Knox; Beat Thürlimann; Karen N Price; Monica Castiglione-Gertsch; Richard D Gelber; Barry A Gusterson; Aron Goldhirsch
Journal:  J Clin Oncol       Date:  2008-11-03       Impact factor: 44.544

8.  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

9.  Redefining prognostic factors for breast cancer: YB-1 is a stronger predictor of relapse and disease-specific survival than estrogen receptor or HER-2 across all tumor subtypes.

Authors:  Golareh Habibi; Samuel Leung; Jennifer H Law; Karen Gelmon; Hamid Masoudi; Dmitry Turbin; Michael Pollak; Torsten O Nielsen; David Huntsman; Sandra E Dunn
Journal:  Breast Cancer Res       Date:  2008-10-16       Impact factor: 6.466

10.  Low expression of a few genes indicates good prognosis in estrogen receptor positive breast cancer.

Authors:  Steven Buechler
Journal:  BMC Cancer       Date:  2009-07-20       Impact factor: 4.430

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