MIB INDEX AS INDEPENDENT PROGNOSTIC FACTOR IN CONTEXT OF CLINICAL FEATURES IN CARCINOMA BREAST PATIENTS.
Introduction: Breast cancer is the commonest malignancy in females and despite recent advancements in treatment it still is the leading cause of death. The importance of various clinical and pathological factors like age, tumor size, hormone receptor status, lymph node status and grade of tumor are already established and play key role in deciding the management of disease. Markers like Mib Index are under evaluation and its role is yet to be established as independent prognostic factor. Our study is an attempt to understand and evaluate its role in the management of breast cancer patients and its relation with other clinical features especially in this era of molecular advancement where tests Oncotype Dx, Mammaprint & likes are not affordable to all. Materials and Methods: Mib index and other clinic-pathological markers were retrospectively assessed in 174 breast cancer patients diagnosed and treated between 2018 and 2021. Association and correlation with other established prognostic markers was studied. Statistical analysis was done and p value < 0.05 was taken as signicant. Results: Mib Index was low in 37.7% and high in 62.3% patients. Next we analyzed the association between MIB index and other prognostic parameters, and we found a statistical signicant association with age, grade of the tumor, histology, hormone receptor status, HER 2 neu status and lymph node positivity while there was no signicant association with tumor size. Conclusion: Mib Index may be considered as a valuable parameters to plan out further treatment strategies in breast cancer patients as *poor woman's Oncotype Dx" in our scenario.
Authors
- K. M. (ORCID: https://orcid.org/0000-0002-8816-5357)
- Joon Himanshi
- Puntambekar Shailesh
Institutions
- Ruby Hall Clinic (IN)
Publication Details
- Journal
- GLOBAL JOURNAL FOR RESEARCH ANALYSIS
- Published
- 2024-12-15
- DOI
- https://doi.org/10.36106/gjra/9801202
- Primary Topic
- Biomarkers in Disease Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00