Clinico-Cyto-Histopathological Correlation of Patterns Carcinoma Breast and Correlation of Grading to Prognostic Factor
Journal Title: National Journal of Laboratory Medicine - Year 2017, Vol 6, Issue 2
Abstract
Introduction: Carcinoma breast is the most common malignancy occurring in females worldwide while in India it is the 2nd most common malignancy occurring after cervical cancer in females. The incidence is three times higher in urban areas than in rural setup. The disease pattern, clinical and histopathological presentation differs from that of the western world. Aim: To study various patterns of carcinoma breast in rural setup, its clinical correlation with cytology and histopathological examination and correlation of nuclear grading with various prognostic markers. Materials and Methods: The present prospective analytical study was carried out in the Department of Pathology, Jawaharlal Nehru Medical College and Acharya Vinoba Bhave Rural Hospital, Sawangi (M), Wardha, India, from July 2013 to July 2015 on 100 female patients cases of carcinoma breast calculated using confidence level. Cytosmears were stained by Giemsa, paraffin embedded tissue blocks of tumour masses and lymphnodes by H & E. Tumour mass was further subjected to immunohistochemistry. Results: Present study comprised of total 100 female patients. Out of all 32% cases were found to be in 5th decade (premenopausal predilection) of life in our setup. About 44% patients had clinical Stage II. In 96.3% of Grade III tumours cytological and histopathological correlation was found. 92% of cases belonged to NOS category (Grade III). Maximum lymphnode positivity with lymphovascular invasion was found in Grade III tumours. Positive correlation was found between clinical staging cytological grading, histology and immunohistochemistry. Conclusion: From the present study it can be concluded that there is a positive correlation between histopathological grade and other prognostic factors including immunohistochemical markers. Immunohistochemical markers can be effectilvely used to predict prognosis and therapeutic management of patients with carcinoma breast.
Authors and Affiliations
Ankita Narendra Tamhane, Kishor M Hiwale, Samarth Akhilesh Shukla
Keywords
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- EP ID EP376454
- DOI 10.7860/NJLM/2017/22901:2219
- Views 118
- Downloads 0
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