Expression of p53 as a Prognostic Marker in low and high-grade Urothelial Carcinoma: A Cross-Sectional Analysis

Objective: To assess the expression of p53 and its correlation with histologic grade and tumor invasiveness in urothelial carcinoma. Methodology: This cross-sectional study was conducted at the Department of Pathology, Pakistan Institute of Medical Sciences (PIMS), Islamabad, over duration of 24 months August 2018 to August 2020. A total of 96 cases of histologically confirmed urothelial carcinoma were analyzed using immunohistochemistry for p53 expression. p53 positivity was evaluated at 10% and 40% nuclear cut-offs, and further classified into wild-type and aberrant phenotypes. Associations with tumor grade, lamina propria invasion, and muscularis propria invasion were assessed using chi-square tests. Results: High-grade tumors showed significantly higher p53 expression at both 10% (84.6%) and 40% (63.5%) cut-offs compared to low-grade tumors (45.5% and 22.7%, respectively) (p < 0.001). Aberrant phenotypes were more frequent in high-grade tumors (69.2%) versus low-grade (25%) (p < 0.001). p53 positivity was also significantly associated with lamina propria and muscularis propria invasion (p < 0.001). Conclusion: p53 immunoexpression correlates strongly with tumor grade and invasion, highlighting its value as a prognostic marker in urothelial carcinoma.

Authors

Institutions

Publication Details

Journal
Annals of PIMS-Shaheed Zulfiqar Ali Bhutto Medical University
Published
2024-11-30
DOI
https://doi.org/10.48036/apims.v20i4.743
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Expression of p53 as a Prognostic Marker in low and high-grade Urothelial Carcinoma: A Cross-Sectional Analysis

Ghazal Zaffar, Uzma Meral, Javaria Ahsan, Henna Azmat et al.
Annals of PIMS-Shaheed Zulfiqar Ali Bhutto Medical University
Bladder and Urothelial Cancer Treatments
article

Expression of p53 as a Prognostic Marker in low and high-grade Urothelial Carcinoma: A Cross-Sectional Analysis

Ghazal Zaffar, Uzma Meral, Javaria Ahsan, Henna Azmat, Zainab Taj, Iqra Butt
article en

Abstract

Objective: To assess the expression of p53 and its correlation with histologic grade and tumor invasiveness in urothelial carcinoma. Methodology: This cross-sectional study was conducted at the Department of Pathology, Pakistan Institute of Medical Sciences (PIMS), Islamabad, over duration of 24 months August 2018 to August 2020. A total of 96 cases of histologically confirmed urothelial carcinoma were analyzed using immunohistochemistry for p53 expression. p53 positivity was evaluated at 10% and 40% nuclear cut-offs, and further classified into wild-type and aberrant phenotypes. Associations with tumor grade, lamina propria invasion, and muscularis propria invasion were assessed using chi-square tests. Results: High-grade tumors showed significantly higher p53 expression at both 10% (84.6%) and 40% (63.5%) cut-offs compared to low-grade tumors (45.5% and 22.7%, respectively) (p < 0.001). Aberrant phenotypes were more frequent in high-grade tumors (69.2%) versus low-grade (25%) (p < 0.001). p53 positivity was also significantly associated with lamina propria and muscularis propria invasion (p < 0.001). Conclusion: p53 immunoexpression correlates strongly with tumor grade and invasion, highlighting its value as a prognostic marker in urothelial carcinoma.

Annals of PIMS-Shaheed Zulfiqar Ali Bhutto Medical UniversityVol. 20(4)
Foundation University Medical College (PK), Pakistan Telecommunication Company (Pakistan) (PK), Clariant (Switzerland) (CH)
Openalex Percentile: Top 52%
Bladder and Urothelial Cancer Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.