Frequency of Ki-67 (MIB-1) and P53 expressions among patients with prostate cancer.
Indian J Pathol Microbiol
;
2011 Oct-Dec 54(4): 688-691
Article
in English
| IMSEAR
| ID: sea-142092
ABSTRACT
Context Prostate cancer is the most common malignant tumor in men. Tumor grade is one of the most important prognostic factors of prostate cancer. P53 and Ki-67 expressions have also been considered to be prognostic factors. Aims:
This study was performed to investigate the frequency of these proteins expression and compare the obtained results with Gleason's grading. Settings andDesign:
In this cross-sectional study, 49 paraffin blocks of prostate cancers were assessed. Tumor grade was determined according to the Gleason's criteria. Materials andMethods:
Ki-67 and P53 expressions were determined by immunohistochemical staining. StatisticalAnalysis:
The obtained results were analyzed and evaluated using Spearman's statistical test (SPSS version 15).Results:
Three out of 49 (6.1%) cases were well differentiated, 21 (43%) moderately differentiated and 25 (51%) were poorly differentiated. P53 was negative in all well-differentiated cases. Ki-67 was negative in 14 cases (28%) including all well-differentiated tumors. Among moderately and poorly differentiated tumors Ki-67 was negative in eight (38%) and three (12%) of cases, respectively. A statistically significant relation was observed between the increased Ki-67 labeling index (LI) and increased Gleason's grade. Conversely, no statistically significant relation was found between P53 expression and increased Gleason's grade.Conclusions:
According to the findings of this study, it seems that Ki-67 can be used as a prognostic factor for prostate cancer. On the other hand, the probable relation between P-53 and prostate cancer prognosis requires further studies.
Full text:
Available
Index:
IMSEAR (South-East Asia)
Main subject:
Prognosis
/
Prostatic Neoplasms
/
Severity of Illness Index
/
Aged, 80 and over
/
Aged
/
Humans
/
Male
/
Immunohistochemistry
/
Biomarkers, Tumor
/
Cross-Sectional Studies
Type of study:
Observational study
/
Prevalence study
/
Prognostic study
/
Risk factors
Limits:
Aged80
Language:
English
Journal:
Indian J Pathol Microbiol
Year:
2011
Type:
Article
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