Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

biochemistry, genetics and molecular biology

Ki-67 and Cell Cycle Regulators p53, p63 and cyclinD1 as Prognostic Markers for Recurrence/ Progression of Bladder Urothelial Carcinoma

Pathology and Oncology Research, Volume 24, No. 2, Year 2018

Deregulation of the cell cycle regulating genes is common in urothelial bladder carcinoma (UBC). We aimed to examine the prognostic significance of ki-67, p53, p63 and cyclinD1expression in UBC and to identify optimal cut-off points to help identifying patients at high risk of tumor recurrence. We evaluated the immunohistochemical expression of ki-67, p53, p63 and cyclinD1 in 100 UBCs. The conventional and the classification and regression trees-guided (CART-guided) methods were utilized to determine the independent predictors of tumor recurrence. The p53 and Ki-67 expression didn’t associate significantly with tumor recurrence.p63 and cyclinD1 exhibited significant hazard ratios. Using CART, no recurrence was observed when p63 was ≥87.5%. The recurrence incidence increased and the disease free survival (DFS) time shortened as the p63 decreased. CyclinD1 associated significantly with tumor recurrence only if p63 was <35%. Using the CART cut-off values¬, cases were categorized into three groups; (groups I: p63 ≥ 35%, II: p63 < 35% and cyclinD1 < 10% and III: p63 < 35% and cyclinD1 ≥ 10%). Group I patients revealed the least incidence of recurrence at the longest DFS. Group III had the worst prognosis followed by Group II. p63 represents a surrogant biomarker to predict UBC recurrence.CyclinD1 can be used only when p63 is <35%. CART proved helpful with data among which the number of cases with positive outcomes is too small relative to the number of studied predictors. Large cohort studies for ki-67 and p53 are recommended to be performed with standardized criteria as regards patients’ characteristics, cut-off values, and follow-up time.

Statistics
Citations: 14
Authors: 2
Affiliations: 2
Identifiers
Research Areas
Cancer
Environmental
Study Design
Cohort Study