Leptin and leptin receptor expressions in prostate tumors may predict disease aggressiveness?
Acta cir. bras
;
29(supl.3): 44-48, 2014. graf
Article
in English
| LILACS
| ID: lil-726249
ABSTRACT
PURPOSE:
The aim of this study was to evaluate the expression of leptin and its receptor in histological sections of prostate tumors, and their association with prognostic factors.METHODS:
A total of 532 surgical specimens from prostate cancer were studied. After histopathological diagnosis, the samples were included in tissue microarrays containing cores from tumor and non-tumor (benign prostatic hyperplasia) areas. These were immunostained with anti-leptin and anti-leptin-receptor antibodies. Objective and subjective analyses were performed. Student's-t-test and ANOVA were used to compare mean values, and linear regression was used to evaluate the correlation between histological results and prognostic indicators.RESULTS:
Leptin receptor expression was reduced in tumors with a positive surgical margin, urethral margin involvement, and seminal vesicles invasion. Further, there was a negative correlation between the expression of leptin receptor in tumor areas and the sum of prognostic factors, suggesting that leptin receptor may predict the aggressiveness of disease.CONCLUSION:
Our findings suggest that leptin receptor expression is a potential prognostic factor for PCa. Further investigation is needed to support the use of leptin receptor as a novel biomarker, although leptin itself does not seem to predict the aggressiveness of prostate cancer. .
Full text:
Available
Index:
LILACS (Americas)
Main subject:
Prostatic Neoplasms
/
Adenocarcinoma
/
Leptin
/
Receptors, Leptin
Type of study:
Prognostic study
/
Risk factors
Limits:
Adult
/
Aged
/
Aged80
/
Humans
/
Male
Language:
English
Journal:
Acta cir. bras
Journal subject:
General Surgery
/
Procedimentos Cir£rgicos Operat¢rios
Year:
2014
Type:
Article
Affiliation country:
Brazil
Institution/Affiliation country:
State University of Rio de Janeiro/BR
Similar
MEDLINE
...
LILACS
LIS