The Predictive and Prognostic behavior of Breast Cancer by NACT in Relation to Tumor Grade, ER/PR and Her- 2/neu Expression- Study in a Tertiary Care Hospital of Eastern India

Background: The receptor status of breast cancer, including ER, PR and HER 2, play a crucial role in the development of treatment plan of breast cancer. Clinical utility of ER as a predictive biomarker to identify patients likely to benefit from hormonal therapy is well established, added value of PR is less defined. This study aim to know the demography of breast cancer and to document the status of ER, PR and HER 2 status in the north Indian population, as catered by single tertiary care hospital in Lucknow, Uttar Pradesh.Methods: All the patients of breast cancers where surgery or core biopsy was performed for invasive breast carcinoma followed by evaluation of ER, PR and HER 2 status were included in the study from January 2014 to June 2018. Cases were analyzed retrospectively for documentation of ER, PR and HER2 status, using American society of Clinical Oncology/College of American Pathologists (ASCO/CAP) interpretation guidelines.Results: 112 patients were included in the study with mean age of 53.70±12.47. Most common histological type was invasive carcinoma of no special type. 43.75% cases were ER+/PR+, 5.35% were ER+/PR-, and 50.89% were ER-/PR-. ER-/PR+ status was seen in none of our cases. Correlation of ER and PR with HER 2 was possible in 90 cases and triple negative breast cancer (TNBC) status was observed in 32.2% of cases.Conclusions: Demography and ER positivity and incidence of TNBC is not different from rest of India, however the clinical utility for evaluation of PR receptor is to be further investigated.

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Association Between Delayed Diagnosis Of Breast Cancer And Its Degree Of Invasiveness Among The Patients In Tertiary Care Hospital Of Karachi

Journal of Bahria University Medical and Dental College ◽

10.51985/jbumdc2019114 ◽

2019 ◽

Vol 10 (1) ◽

pp. 63-67

Author(s):

Suha Zubairi ◽

Hassan Mirza ◽

Aisha Qamar

Keyword(s):

Breast Cancer ◽

Tertiary Care Hospital ◽

Tertiary Care ◽

Delayed Diagnosis ◽

Lymph Node Status ◽

Axillary Lymph ◽

Care Hospital ◽

Molecular Type ◽

Her 2 ◽

Histopathological Report

Objective: To find the association between delayed diagnosis of breast cancer over the degree of invasiveness for each of the immune-histochmically defined molecular type of invasive ductal carcinoma among the patient in tertiary care hospital of Karachi. Study Design and Setting: A cross sectional study was conducted on 153 post mastectomy patients in a time frame of two years at Bait-ul-Sukoon Hospital who had their immunohistochemistry workup. Methodology: The patients included in the research were diagnosed cases of breast cancer; had post-mastectomy with their histopathological and immunochemistry status work up reports. In addition to demographic variables; the histopathological report of specimen, histological tumor type and grade, invasive tumor size, axillary lymph node status, Paget’s disease and stage of the disease were recorded from the histopathological report however ER, PR and Her 2 neu receptor statuses were confirmed via immunochemistry report. Volume of the tumor was calculated using the following formula V = (W2 × L)/2 Convenient sampling was applied and the data was analyzed on SPSS 20.0 with CI-95% and P=0.05. Results- All 153 patients reported because of unpleasant symptoms.47.1% of the participants presented with LT while the remaining 52.9% were grouped as NLT. The association of molecular type with stage at mastectomy was statistically significant (P=0.015) in the ERG. Her-2 enriched variant shows that there was a moderate positive statistically significant relationship between log of total delay and log of tumor volume +2. Conclusion: Delay in diagnosis due to lack of screening modalities, lesser awareness among low socioeconomic groups and inaccessibility to tertiary care were not the major causes of aggressive tumors at diagnosis in developing countries, instead all the major known risk factors influence to the tumor burden collectively

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