Correlation Between Ki-67 Proliferation Index and Histopathological Grade in Triple-Negative Breast Cancer: A Study from RSUD Abdul Moeloek, 2024
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Abstract
Background: Triple-negative breast cancer (TNBC) represents one of the most aggressive breast cancer subtypes and is associated with high recurrence rates and limited targeted treatment options. Ki-67 proliferation index and histopathological grade are commonly used prognostic indicators, yet their relationship within TNBC remains inconsistent across studies. This research aimed to examine the association between Ki-67 expression and tumor grade among TNBC patients at RSUD Abdul Moeloek in 2024. Methods: A retrospective analytical cross-sectional study was conducted using medical records and pathology reports of all TNBC patients diagnosed between January and December 2024. Data were analyzed using Spearman’s rank correlation. Results: Twenty-eight patients met the inclusion criteria. Most participants were within the 40–50-year age group and had grade III tumors. A high Ki-67 index (>20%) was observed in the majority of cases. Spearman’s test revealed no significant correlation between tumor grade and Ki-67 index (r = 0.009; p = 0.964). Conclusion: This study found no meaningful association between Ki-67 expression and histopathological grade in TNBC cases at the study site. Both parameters appear to provide independent prognostic information, underscoring the need for their combined assessment in clinical practice.
- References
-
1. Ferlay J, Colombet M, Soerjomataram I, Parkin DM, Piñeros M, Znaor A, et al. Cancer statistics for the year 2020: An overview. Int J Cancer. 2021;149(4):778–89.
2. Cserni G, Quinn CM, Foschini MP, Bianchi S, Callagy G, Chmielik E, et al. Triple-Negative Breast Cancer Histological Subtypes with a Favourable Prognosis. 2021;1–23.
3. Zhang H, Hicks DG, Turner BM. The Evolution of Ki-67 and Breast Carcinoma : Past Observations , Present Directions , and Future Considerations. 2023.
4. Nielsen TO, Leung SCY, Rimm DL, Dodson A, Acs B, Badve S, et al. Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group. J Natl Cancer Inst. 2021;113(7):808–19.
5. Li L, Han D, Yu Y, Li J, Liu Y. Artificial intelligence-assisted interpretation of Ki-67 expression and repeatability in breast cancer. Diagn Pathol. 2022;17(1):1–10.
6. Zhang A, Wang X, Fan C, Mao X. The Role of Ki67 in Evaluating Neoadjuvant Endocrine Therapy of Hormone Receptor-Positive Breast Cancer. 2021;12(November):1–7.
7. Tyagi A, Salhotra R, Agrawal A, Vashist I, Malhotra RK. Use of Pearson and Spearman correlation testing in Indian anesthesia journals : An audit. 2023.
8. Li F. Prognostic predictive value of Ki-67 in stage I – II triple-negative breast cancer. 2023.
9. Zhang G, Shi Z, Liu L, Yuan H, Pan Z, Li W, et al. The prognostic relevance of p53 and Ki-67 to chemotherapy sensitivity and prognosis in triple-negative breast cancer. 2021;10(2):1082–7.
10. Arafah MA, Ouban A, Ameer OZ, Quek KJ. KI-67 LI Expression in Triple-Negative Breast Cancer Patients and Its Significance. 2021.
11. Abubakr A, Humayun S, Ali T, Khursheed S, Khan A, Khan S, et al. Correlation Between Ki-67 Expression and Tumor Grade in Breast Cancer : A Cross-Sectional Study. 2024;16(12).
12. Sandilya U, Mamatha K. Expression of Ki-67 in Invasive Breast Carcinoma and Its Correlation With Different Clinicopathological Features. 2024;16(9):1–14.
13. Milev H, Desislava Dimitrova, Ivanov I. Assessment of Ki-67 in breast carcinoma: Interobserver variability and comparison between core needle biopsy and resection specimens. Annals of Diagnostic Pathology 80; 2025. p. 152571.
14. Uncu UY, Aksu SA. Correlation of Perfusion Metrics with Ki-67 Proliferation Index and Axillary Involvement as a Prognostic Marker in Breast Carcinoma Cases : A Dynamic Contrast-Enhanced Perfusion MRI Study. 2023.
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- 2026-01-14
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Copyright (c) 2026 Jesika Cahya Ningrum

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