P. Dey et al., Terminal uridine nick end labelling and mitosis in breast carcinoma - Correlation with tumor grade and p53 overexpression, ANAL QUAN C, 23(1), 2001, pp. 27-30
Citations number
9
Categorie Soggetti
Medical Research Diagnosis & Treatment
Journal title
ANALYTICAL AND QUANTITATIVE CYTOLOGY AND HISTOLOGY
OBJECTIVE: To study the relationship of cell death and proliferation to his
tologic grade and p53 expression in invasive carcinoma of the breast.
STUDY DESIGN: A total of 31 cases of infiltrating duct carcinoma of the bre
ast were randomly selected. The terminal deoxynucleotidyl-transferase-media
ted dUTP nick end labelling (TUNEL) reaction and p53 immunostaining were pe
rformed on representative paraffin-embedded tissue sections. Mitotic and ap
optotic indices (MI and AI) were also measured on hematoxylin-eosin-stained
sections. Histologic grade of infiltrating duct carcinoma was performed wi
th the help of the Nottingham modification of the Bloom-Richardson system.
Tumor grade and p53 overexpression were correlated with MI, AI and AI detec
ted by TUNEL.
RESULTS: There were a total of 31 infiltrating duct carcinomas of the breas
t, of which 13 cases were grade 1 and nine cases each were grade 2 and 3. C
ells with positive TUNEL showed a strong brown nuclear positivity. TUNEL sh
owed positivity from the periphery of the nuclear margin to the central por
tion. AI detected by TUNEL did not correlate with tumor grade (ANOVA, P > .
05). MI was significant only in grade 1 versus grade 3 and 2 versus grade 3
carcinomas (ANOVA, P < .01), The morphologic apoptotic index was significa
nt only in grade 1 versus grade 3 carcinomas. Nine cases showed p53 overexp
ression, and the vest of the cases were negative for p53 immunostaining. MI
, AI and TUNEL were riot significantly different in p53-negative and -posit
ive groups. Pearson's correlation coefficient showed that AI and MI were si
gnificantly related, but there was no significant relation between AI detec
ted by TUNEL and MI.
CONCLUSION: MI is still more useful than AI or AI detected by TUNEL in diff
erentiating various grades of carcinoma of the breast.