Literature DB >> 19711345

Growth fraction as a predictor of response to chemotherapy in node-negative breast cancer.

Mohammed A Aleskandarany1, Andrew R Green, Emad A Rakha, Rabab A Mohammed, Somaia E Elsheikh, Desmond G Powe, Emma C Paish, R Douglas Macmillan, Steve Chan, Samreen I Ahmed, Ian O Ellis.   

Abstract

Accurate predictive markers of chemotherapeutic response in early breast cancer are still lacking. The role of tumour growth fraction as a predictor of response to chemotherapy was assessed in early breast cancer. In this study, immunohistochemical expression of MIB1 was studied in a well-characterised series of early (Stages I and II) node-negative breast carcinoma cases (n = 100) with long-term follow-up that have received adjuvant chemotherapy (cyclophosphamide/methotrexate/5-fluorouracil regimen). In addition, 728 cases who did not receive adjuvant chemotherapy were used as a control group. Increased tumour growth fraction was associated with a better response to adjuvant chemotherapy in terms of longer breast cancer specific survival and disease-free interval [hazard ratio (HR) = 0.354, 95% CI = 0.177-0.688, p = 0.003 and HR = 0.396, 95% CI = 0.205-0.768, p = 0.006, respectively]. In contrast to the control group, patients with high growth fraction tumour (>70%) showed an excellent outcome with infrequently reported events during the period of follow-up. Importantly, patients with a low growth fraction (< or =10%) showed frequent recurrences and shorter survival time with outcome comparable to those of high growth fraction who did not receive chemotherapy. Therefore, tumour growth fraction can be used to assign patients into distinct groups showing differential response to adjuvant chemotherapy. Patients with a high growth fraction appear to be ideal candidates for adjuvant chemotherapy while those with low growth fraction are less likely to benefit and are prone to the potential serious side effects of adjuvant chemotherapy.

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Year:  2010        PMID: 19711345     DOI: 10.1002/ijc.24860

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  15 in total

1.  Bimodality of intratumor Ki67 expression is an independent prognostic factor of overall survival in patients with invasive breast carcinoma.

Authors:  Arvydas Laurinavicius; Benoit Plancoulaine; Allan Rasmusson; Justinas Besusparis; Renaldas Augulis; Raimundas Meskauskas; Paulette Herlin; Aida Laurinaviciene; Abir A Abdelhadi Muftah; Islam Miligy; Mohammed Aleskandarany; Emad A Rakha; Andrew R Green; Ian O Ellis
Journal:  Virchows Arch       Date:  2016-01-27       Impact factor: 4.064

2.  Anti-Phosphohistone H3-Positive Mitoses Are Linked to Pathological Response in Neoadjuvantly Treated Breast Cancer.

Authors:  Sylvia Timme; Martin Sillem; Peter Bronsert; Lioudmila Bogatyreva; Dieter Hauschke; Axel Zur Hausen; Martin Werner; Elmar Stickeler
Journal:  Breast Care (Basel)       Date:  2017-08-02       Impact factor: 2.860

3.  OLC1 is overexpressed in breast cancer and its expression correlates with poor patient survival.

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Journal:  Tumour Biol       Date:  2014-06-01

4.  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

5.  Histological grading of breast cancer on needle core biopsy: the role of immunohistochemical assessment of proliferation.

Authors:  T'ng Chang Kwok; Emad A Rakha; Andrew H S Lee; Matthew Grainge; Andrew R Green; Ian O Ellis; Desmond G Powe
Journal:  Histopathology       Date:  2010-08       Impact factor: 5.087

Review 6.  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

7.  Clinical and histopathological factors associated with Ki-67 expression in breast cancer patients.

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Journal:  Oncol Lett       Date:  2015-01-07       Impact factor: 2.967

8.  Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study.

Authors:  Rumiko Tashima; Reiki Nishimura; Tomofumi Osako; Yasuyuki Nishiyama; Yasuhiro Okumura; Masahiro Nakano; Mamiko Fujisue; Yasuo Toyozumi; Nobuyuki Arima
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

9.  Evaluation of CDK12 Protein Expression as a Potential Novel Biomarker for DNA Damage Response-Targeted Therapies in Breast Cancer.

Authors:  Kalnisha Naidoo; Patty T Wai; Sarah L Maguire; Frances Daley; Syed Haider; Divya Kriplani; James Campbell; Hasan Mirza; Anita Grigoriadis; Andrew Tutt; Paul M Moseley; Tarek M A Abdel-Fatah; Stephen Y T Chan; Srinivasan Madhusudan; Emad A Rhaka; Ian O Ellis; Christopher J Lord; Yinyin Yuan; Andrew R Green; Rachael Natrajan
Journal:  Mol Cancer Ther       Date:  2017-11-13       Impact factor: 6.261

10.  Cell Proliferation (KI-67) Expression Is Associated with Poorer Prognosis in Nigerian Compared to British Breast Cancer Women.

Authors:  Ayodeji O J Agboola; Adekumbiola A F Banjo; Charles C Anunobi; Babatunde Salami; Mopelola Deji Agboola; Adewale A Musa; Christopher C Nolan; Emad A Rakha; Ian O Ellis; Andrew R Green
Journal:  ISRN Oncol       Date:  2013-04-11
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