Fares, M., Ibrahim, S., El-Shinawi, M., Mohamedamed, M. (2019). Breast cancer subtypes criteria versus clinicopathological data. International Journal of Development, 8(1), 71-80. doi: 10.21608/idj.2019.64038
Mohamed Fares; Sherif Abdelaziz Ibrahim; Mohamed El-Shinawi; Mona Mostafa Mohamedamed. "Breast cancer subtypes criteria versus clinicopathological data". International Journal of Development, 8, 1, 2019, 71-80. doi: 10.21608/idj.2019.64038
Fares, M., Ibrahim, S., El-Shinawi, M., Mohamedamed, M. (2019). 'Breast cancer subtypes criteria versus clinicopathological data', International Journal of Development, 8(1), pp. 71-80. doi: 10.21608/idj.2019.64038
Fares, M., Ibrahim, S., El-Shinawi, M., Mohamedamed, M. Breast cancer subtypes criteria versus clinicopathological data. International Journal of Development, 2019; 8(1): 71-80. doi: 10.21608/idj.2019.64038
Breast cancer subtypes criteria versus clinicopathological data
1Department of Zoology, Faculty of Science, Al-Azhar University, Cairo, Egypt
2Department of Zoology, Faculty of Science, Cairo University, Egypt.
3Department of General Surgery, Faculty of Medicine, Ain Shams University, Egypt.
Abstract
Breast cancer in women is the second most frequent cancer incidence, the breast cancer cases with varied histopathological and biological aspects reflect different attitudes that result in various therapy responses and should be given different therapeutic strategies.This study aimed to differentiate the breast cancer due to the histopathological and molecular criteria, the first is inflammatory breast cancer (IBC) or non-IBC, and the second is hormonal positive breast cancer (HP BC) or triple negative breast cancer (TN BC), and the third is lymphovascular invasion positive (LVI-p) or lymphovascular invasion negative (LVI-n).Overall 78 female diagnosed with breast carcinoma were enrolled in this study. Using pathological, histological and molecular criteria to differentiate the breast cancer groups in tissue samples, and then we were statistically displayed some histopathological and molecular features for each group. The results indicated that most common age in breast cancer patient is 50, the tumor size in IBC, TN BC and LVI-p is significantly higher than non-IBC, HP BC and LVI-n respectively, the most common tumorgrade is grade II, the nodal status in IBC and TN BC is significantly higher than non-IBC and HP BC respectively, 95% of IBC and 87 % of non-IBC patients are diagnosed as invasive ductal carcinoma, and 5% of IBC and 8 % of non-IBC patients are diagnosed as invasive lobular carcinoma.
In conclusion statistical analysis of breast cancer clinicopathological data might help in improving of cancer treatment strategies.
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