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ABSTRACT: Predictability of Monthly and Yearly Rhythms of Breast
Cancer Features
[06/29/2001; Breast Cancer Research and Treatment]
In order to evaluate if breast cancer biological characteristics
undergo significant menstrual and seasonal variations, we analysed
in a consecutive series of 905 breast cancer patients, steroid
receptor level (ER and PgR by DCC assay), proliferative activity
(3H-Thymidine Labeling Index, 3H-TLI) and size of primary tumour
in relation to calendar date and day of menstrual cycle at the
time of the surgical procedure.
For data analysis, the method
of time series construction and classical spectral analyses with
Bartlett Kolmogorov–Smirnov test for white noise (BKS test) was
utilised.
For what concerns menstrual variations, 3H-TLI showed
a significant periodicity (t=0.3146, p<0.01 by BKS test) with
peaks at day 12nd and day 18th; ER showed a significant periodicity
(t=0.3605, p<0.01 by BKS test) with more evident peak at day
27th; PgR, a significant periodicity (t=0.160, p=0.05 by BKS
test) with peaks at day 15th and day 24th, similar to that observed
for tumour size (t=0.19, p<0.05 by BKS test).
With respect
to yearly fluctuations, 3H-TLI showed only a trend for a significant
rhythm (t=0.16, p=0.06 by BKS test) with peaks in May and November;
ER a significant periodicity (t=0.2099, p<0.05 by BKS test)
with two evident peaks in January and April; also for PgR a significant
periodicity (t=0.3161, p<0.05 by BKS test) was demonstrated
with a peak in July; finally, tumour size showed a significant
rhythm (t=0.335, p<0.01) paralleling 3H-TLI behaviour.
Finally,
the analysis of variance with interaction of menstrual and seasonal
timings showed that only the seasonal timing was able to independently
influence the 3H-TLI variations (3H-TLI higher in spring).
We
confirmed that breast biology has significant menstrual and seasonal
variations and that the seasonality is probably the timing factor
more relevant in periodicity determination.
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 Breast Cancer Res Treat, 11/01

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