Literature DB >> 26687650

The search for optimal cutoff points for apoptosis and proliferation rate in prognostification of early stage breast cancer patients treated with anthracyclines in adjuvant settings.

Beata Biesaga1, Joanna Niemiec2, Joanna Wysocka3, Dorota Słonina2, Marek Ziobro4.   

Abstract

Cancer growth is determined by the proportion of proliferating to dying cells; thus, the aim of the study was to analyze how proliferation rate and apoptosis level affect disease-free survival (DFS) of breast cancer (BC) patients treated with anthracycline-based chemotherapy. For 172 BC, proliferation rate was investigated by Ki-67 labeling index (Ki-67 LI)-assessed immunohistochemically. Apoptosis level was analyzed by apoptotic index (AI) estimated by terminal deoxynucleotidyl transferase dUTP nick end labeling assay. To stratify patients into subgroups with higher and lower DFS and to achieve optimal categorization, optimal cutoff points were searching by minimal P value method. The best separation of DFS curves (P = 0.001) was observed for three categories of AI: (i) AI >1.8 % (DFS = 100 %), (ii) AI ≤0.3 % (DFS = 84.6 %), and (iii) 1.8 % <= AI >0.3 % (DFS = 64.0 %). The highest DFS (86.1 %) was shown for the subgroup with low-proliferating BC (Ki-67 LI ≤18.0 %), intermediate (73.9 %) for patients characterized by Ki-67 LI in the range 18.0-37.0 % and the lowest (60.0 %) for women with fast-proliferating tumors (Ki-67 LI >37.0 %) (P = 0.022). Summarized, minimal P value method allows for optimal separation of survival curves. Apoptosis level and proliferation rate have some prognostic potential for early stage breast cancer patients treated with anthracyclines in adjuvant setting, however, as suggested by multivariate analysis, not as independent prognostic factors.

Entities:  

Keywords:  Anthracyclines; Apoptosis; Early stage breast cancer patients; Proliferation rate

Mesh:

Substances:

Year:  2015        PMID: 26687650     DOI: 10.1007/s13277-015-4646-x

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  42 in total

1.  Bcl-2 has differing effects on the sensitivity of breast cancer cells depending on the antineoplastic drug used.

Authors:  D Del Bufalo; A Biroccio; D Trisciuoglio; T Bruno; A Floridi; A Aquino; G Zupi
Journal:  Eur J Cancer       Date:  2002-12       Impact factor: 9.162

2.  Histopathological subclassification of triple negative breast cancer using prognostic scoring system: five variables as candidates.

Authors:  Minoru Miyashita; Takanori Ishida; Kazuyuki Ishida; Kentaro Tamaki; Masakazu Amari; Mika Watanabe; Noriaki Ohuchi; Hironobu Sasano
Journal:  Virchows Arch       Date:  2010-11-21       Impact factor: 4.064

Review 3.  Targeted therapy for cancer stem cells: the patched pathway and ABC transporters.

Authors:  H Lou; M Dean
Journal:  Oncogene       Date:  2007-02-26       Impact factor: 9.867

4.  bcl-2 and apoptosis in lymph node positive breast carcinoma.

Authors:  M D Berardo; R M Elledge; C de Moor; G M Clark; C K Osborne; D C Allred
Journal:  Cancer       Date:  1998-04-01       Impact factor: 6.860

5.  Treatment response to preoperative anthracycline-based chemotherapy in locally advanced breast cancer: the relevance of proliferation and apoptosis rates.

Authors:  Ksenija Kanjer; Svetislav Tatić; Zora Nešković-Konstantinović; Zaki Abu Rabi; Dragica Nikolić-Vukosavljević
Journal:  Pathol Oncol Res       Date:  2013-03-24       Impact factor: 3.201

6.  Altered expression of FAS system is related to adverse clinical outcome in stage I-II breast cancer patients treated with adjuvant anthracycline-based chemotherapy.

Authors:  Claudio Botti; Simonetta Buglioni; Maria Benevolo; Diana Giannarelli; Paola Papaldo; Francesco Cognetti; Patrizia Vici; Franco Di Filippo; Franca Del Nonno; Franco Maria Venanzi; Pier Giorgio Natali; Marcella Mottolese
Journal:  Clin Cancer Res       Date:  2004-02-15       Impact factor: 12.531

7.  Ki67 measured after neoadjuvant chemotherapy for primary breast cancer.

Authors:  Gunter von Minckwitz; Wolfgang D Schmitt; Sibylle Loibl; Berit M Müller; Jens U Blohmer; Bruno V Sinn; Holger Eidtmann; Wolfgang Eiermann; Bernd Gerber; Hans Tesch; Jörn Hilfrich; Jens Huober; Tanja Fehm; Jana Barinoff; Thomas Rüdiger; Erhard Erbstoesser; Peter A Fasching; Thomas Karn; Volkmar Müller; Christian Jackisch; Carsten Denkert
Journal:  Clin Cancer Res       Date:  2013-06-27       Impact factor: 12.531

8.  Prognostic value of proliferation assay in the luminal, HER2-positive, and triple-negative biologic classes of breast cancer.

Authors:  Mohammed A Aleskandarany; Andrew R Green; Ahmed A Benhasouna; Fabricio F Barros; Keith Neal; Jorge S Reis-Filho; Ian O Ellis; Emad A Rakha
Journal:  Breast Cancer Res       Date:  2012-01-06       Impact factor: 6.466

9.  Comparisons between different polychemotherapy regimens for early breast cancer: meta-analyses of long-term outcome among 100,000 women in 123 randomised trials.

Authors:  R Peto; C Davies; J Godwin; R Gray; H C Pan; M Clarke; D Cutter; S Darby; P McGale; C Taylor; Y C Wang; J Bergh; A Di Leo; K Albain; S Swain; M Piccart; K Pritchard
Journal:  Lancet       Date:  2011-12-05       Impact factor: 79.321

10.  Number of apoptotic cells as a prognostic marker in invasive breast cancer.

Authors:  J S de Jong; P J van Diest; J P Baak
Journal:  Br J Cancer       Date:  2000-01       Impact factor: 7.640

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