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ORIGINAL ARTICLE
Year : 2011  |  Volume : 3  |  Issue : 3  |  Page : 119-128

Ki-67 biomarker in breast cancer of Indian women


1 Department of General Surgery, Government Medical College, Miraj, Maharashtra, India
2 Department of Biochemistry, Grant Medical College and Sir J.J. Group of Hospitals, Mumbai, India
3 Department of General Surgery, D.Y. Patil Hospital and Research Centre, Nerul, Navi Mumbai, India

Correspondence Address:
Rajeev Singhai
C-505, Beach Classic CHS Ltd. near Gorai Pumping Station, Chikoowadi, Borivali (West), Mumbai-400092
India
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Source of Support: None, Conflict of Interest: None


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Background: Biological markers that reliably predict clinical or pathological response to primary systemic therapy early during a course of chemotherapy may have considerable clinical potential. Aims: Aims of study to evaluated changes in Ki-67 (MIB-1) labeling index and apoptotic index (AI) before, during, and after neoadjuvant anthracycline chemotherapy in breast cancer in Indian women. Materials and Methods: Breast cancer tissues were collected from Grant Medical College and Sir J.J. Group of Hospitals, Mumbai, India. Twenty-seven patients receiving neoadjuvant FEC (5-fluorouracil, epirubicin, and cyclophosphamide) chemotherapy for operable breast cancer underwent repeat core biopsy after 21 days of treatment. Results: The objective clinical response rate was 56%. Eight patients (31%) achieved a pathological response by histopathological criteria; two patients had a near-complete pathological response. Increased day-21 AI was a statistically significant predictor of pathological response (p = 0.049). A strong trend for predicting pathological response was seen with higher Ki-67 indices at day 21 and AI at surgery (p = 0.06 and 0.06, respectively). Conclusion: The clinical utility of early changes in biological marker expression during chemotherapy remains unclear. Until further prospectively validated evidence confirming the reliability of predictive biomarkers is available, clinical decision-making should not be based upon individual biological tumor biomarker profiles.


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