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Department of Pathology

Research

The main interest of research in our department is the application of recent pathological research methodologies to understand the pathogenesis, improve the diagnosis and predict the prognosis of human disease.

The department collaborates with other clinical departments in different research fields and theses. It also provides research opportunities for postgraduates and staff from the department and from any other discipline both from Egypt and abroad.

The main research facilities available at the department:

  1. Histopathological examination and evaluation of tissues .
  2. Cytopathological assessment of exfoliative and FNA cytology.
  3. immunohistochemical – based researches.

         Research Plan

# Title Research Year
11 Characterisation of luminal and triple-negative breast cancer with HER2 Low protein expression 2023
12 Evaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence 2023
13 Improving mitotic cell counting accuracy and efficiency using phosphohistone‐H3 (PHH3) antibody counterstained with haematoxylin and eosin as part of breast cancer grading 2023
14 Molecular Dynamics Simulation and Pharmacoinformatic Integrated Analysis of Bioactive Phytochemicals from Azadirachta indica (Neem) to Treat Diabetes Mellitus 2023
15 Diagnostic Value of Claudin 4 and EZH2 Immunohistochemistry in Effusion Cytology 2022/8/1
16 Detection of Epstein-Barr virus Latent Membrane Protein-1 in Pediatric Lymphoma: A Report from South Egypt Cancer Institute 2022/4/28
17 Prognostic Outcome of Mesenchymal Transition Biomarkers in Correlation with EGFR Expression in Epithelial Ovarian Carcinoma Patients 2022/12/23
18 Clinicopathological features of relapsed diffuse large B-cell lymphoma South Egypt Cancer Institute experience 2021/8/20
19 Prognostic value of CD10, BCL6 and MUM1 in diffuse large B-cell lymphoma 2021/8/1
20 Multiparametric transvaginal ultrasound in the diagnosis of endometrial cancer in post-menopausal bleeding: diagnostic performance of a transvaginal algorithm and reproducibility amongst less experienced observers 2021