Assessing The Potential Value of KI-67 in Predicting the Therapeutic Response to Neoadjuvant Chemotherapy in Breast Cancer Patients in Indian Population and to Determine the Best Ki-67 Cutoff Value that Increases the Prediction Accuracy in Making Treatment Decisions
dc.contributor.author | Naz, A | en_US |
dc.contributor.author | Sarkar, DK | en_US |
dc.contributor.author | Basu, S | en_US |
dc.contributor.author | Das, AK | en_US |
dc.contributor.author | Roy, PK. | en_US |
dc.date.accessioned | 2025-05-12T08:15:07Z | |
dc.date.available | 2025-05-12T08:15:07Z | |
dc.date.issued | 2024-12 | |
dc.description.abstract | Objective: To assess the potential value of Ki-67 in predicting the therapeutic response to neoadjuvant chemotherapy in breast cancer patients in the Indian population and to determine the best Ki-67 cutoff value that increases the prediction accuracy in making treatment decisions. Materials and Methods: This is a prospective observational study where breast cancer patients who underwent MRM/BCS surgery after neoadjuvant chemotherapy at SSKM and IPGMER Hospital between January 2024 and September 2024 in 50 patients. The clinical and pathologic characteristics of all patients were obtained from the hospital medical records. The clinical and pathological response to chemotherapy was determined. Result: As a result of the analysis from this study, clinical and pathological responses to NST were significantly improved when Ki-67 levels were high >17% (P = 0.05). Furthermore, a better rate of pathological complete response (pCR) was significantly associated with tumor size <5 cm (P = 0.02), and vascular invasion when positive (P = 0.023). Conclusion: Clinical and pathological responses to NST were significantly improved when Ki-67 levels were high >17. Furthermore, a better rate of pCR was significantly associated with tumor size <5 cm, and vascular invasion when positive. Our analysis showed that a Ki-67 cutoff >17% predicted a better pCR rate. | en_US |
dc.identifier.affiliations | Post Doctorate Breast Fellow, Department of General Surgery in IPGMER and SSKM Hospital, Kolkata, West Bengal, India | en_US |
dc.identifier.affiliations | Professor and Head, Department of the Comprehensive Breast Clinic, IPGMER and SSKM Hospital, Kolkata, West Bengal, India | en_US |
dc.identifier.affiliations | Post Doctorate Breast Fellow, Department of General Surgery in IPGMER and SSKM Hospital, Kolkata, West Bengal, India | en_US |
dc.identifier.affiliations | Assistant Professor, Department of General Surgery in IPGMER and SSKM Hospital, Kolkata, West Bengal, India | en_US |
dc.identifier.affiliations | Assistant Professor, Department of General Surgery in Malda Medical College and Hospital, Malda, West Bengal, India | en_US |
dc.identifier.citation | Naz A, Sarkar DK, Basu S, Das AK, Roy PK. . Assessing The Potential Value of KI-67 in Predicting the Therapeutic Response to Neoadjuvant Chemotherapy in Breast Cancer Patients in Indian Population and to Determine the Best Ki-67 Cutoff Value that Increases the Prediction Accuracy in Making Treatment Decisions. International Journal of Scientific Study. 2024 Dec; 12(9): 23-28 | en_US |
dc.identifier.issn | 2321-6379 | |
dc.identifier.issn | 2321-595X | |
dc.identifier.place | India | en_US |
dc.identifier.uri | https://imsear.searo.who.int/handle/123456789/246957 | |
dc.language | en | en_US |
dc.publisher | International Research Organization for Life & Health Sciences | en_US |
dc.relation.issuenumber | 9 | en_US |
dc.relation.volume | 12 | en_US |
dc.source.uri | https://www.ijss-sn.com/uploads/2/0/1/5/20153321/03_ijss_dec_24_oa01_-_2024.pdf | en_US |
dc.subject | Breast cancer | en_US |
dc.subject | Ki-67 | en_US |
dc.subject | Neoadjuvant chemotherapy | en_US |
dc.subject | Tumor size | en_US |
dc.title | Assessing The Potential Value of KI-67 in Predicting the Therapeutic Response to Neoadjuvant Chemotherapy in Breast Cancer Patients in Indian Population and to Determine the Best Ki-67 Cutoff Value that Increases the Prediction Accuracy in Making Treatment Decisions | en_US |
dc.type | Journal Article | en_US |
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