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Dr. Mona Ahmed Mohamed :: Publications:

Title:
Expression of stem cell marker CD133& stem cell regulator p63 in colorectal carcinoma in relation to clinicopathological features and prognosis.
Authors: Not Available
Year: 2025
Keywords: Not Available
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: Local
Paper Link: Not Available
Full paper Mona Ahmed Mohamed _colon final.pdf
Supplementary materials Not Available
Abstract:

Background: One of the most prevalent malignant tumors in the world, colorectal carcinoma (CRC) is still a major contributor to cancer-related morbidity and mortality. Although the prognostic importance of CD133 and p63 in CRC has not yet been thoroughly established, recent data indicates that they play crucial roles in the development and progression of numerous human malignancies. Aim: To evaluate CD133 and p63 immunohistochemical expression in CRC, look into their relationship to clinicopathological characteristics and patient survival, and examine the relationship between the two markers. Methods: Retrospective work was conducted on 50 established CRC. Tissue sections were submitted to an immunohistochemical study for CD133 and p63. Expression levels were correlated with clinicopathological variables, including tumor grade, lymphovascular invasion (LVI), distant metastasis, and tumor stage, as well as overall patient survival. Results: CD133 and p63 overexpression were significantly associated with poor clinicopathological characteristics, including higher tumor gradex, lymphovascular involvement, distant metastasis, and higher stage. A strong association between marker expression and reduced overall survival was identified. CD133 and p63 expression were shown to be significantly positively correlated (ρ = 0.561, p < 0.001) Conclusions: The findings suggest that CD133 and p63 are linked to aggressive clinicopathological features and poorer survival results in CRC. These markers may serve as potential prognostic biomarkers, and their combined evaluation could help refine risk stratification and therapeutic decision-making in CRC management.

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