% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Cairat:179588,
author = {M. Cairat and S. Rinaldi and A.-S. Navionis and I. Romieu
and C. Biessy and V. Viallon and A. Olsen and A. Tjønneland
and A. Fournier and G. Severi and M. Kvaskoff and R. T.
Fortner$^*$ and R. Kaaks$^*$ and K. Aleksandrova and M. B.
Schulze and G. Masala and R. Tumino and S. Sieri and C.
Grasso and A. Mattiello and I. T. Gram and K. S. Olsen and
A. Agudo and P. A. Etxezarreta and M.-J. Sánchez and C.
Santiuste and A. Barricarte and E. Monninkhof and A. E.
Hiensch and D. Muller and M. A. Merritt and R. C. Travis and
E. Weiderpass and M. J. Gunter and L. Dossus},
title = {{C}irculating inflammatory biomarkers, adipokines and
breast cancer risk-a case-control study nested within the
{EPIC} cohort.},
journal = {BMC medicine},
volume = {20},
number = {1},
issn = {1741-7015},
address = {Heidelberg [u.a.]},
publisher = {Springer},
reportid = {DKFZ-2022-00766},
pages = {118},
year = {2022},
abstract = {Inflammation has been hypothesized to play a role in the
development and progression of breast cancer and might
differently impact breast cancer risk among pre and
postmenopausal women. We performed a nested case-control
study to examine whether pre-diagnostic circulating
concentrations of adiponectin, leptin, c-reactive protein
(CRP), tumour necrosis factor-α, interferon-γ and 6
interleukins were associated with breast cancer risk,
overall and by menopausal status.Pre-diagnostic levels of
inflammatory biomarkers were measured in plasma from 1558
case-control pairs from the European Prospective
Investigation into Cancer and Nutrition (EPIC) cohort. We
used conditional logistic regression to estimate the odds
ratios (ORs) of breast cancer at blood collection, per one
standard deviation increase in biomarker concentration.Cases
were diagnosed at a mean age of 61.4 years on average 8.6
years after blood collection. No statistically significant
association was observed between inflammatory markers and
breast cancer risk overall. In premenopausal women,
borderline significant inverse associations were observed
for leptin, leptin-to-adiponectin ratio and CRP [OR= 0.89
(0.77-1.03), OR= 0.88 (0.76-1.01) and OR= 0.87 (0.75-1.01),
respectively] while positive associations were observed
among postmenopausal women [OR= 1.16 (1.05-1.29), OR= 1.11
(1.01-1.23), OR= 1.10 (0.99-1.22), respectively]. Adjustment
for BMI strengthened the estimates in premenopausal women
[leptin: OR = 0.83 (0.68-1.00), leptin-to-adiponectin ratio:
OR = 0.80 (0.66-0.97), CRP: OR = 0.85 (0.72-1.00)] but
attenuated the estimates in postmenopausal women [leptin: OR
= 1.09 (0.96-1.24), leptin-to-adiponectin ratio: OR = 1.02
(0.89-1.16), CRP: OR = 1.04 (0.92-1.16)].Associations
between CRP, leptin and leptin-to-adiponectin ratio with
breast cancer risk may represent the dual effect of obesity
by menopausal status although this deserves further
investigation.},
keywords = {Adipokines / Adiponectin / Biomarkers / Body Mass Index /
Breast Neoplasms: diagnosis / Breast Neoplasms: epidemiology
/ C-Reactive Protein: metabolism / Case-Control Studies /
Female / Humans / Leptin / Middle Aged / Prospective Studies
/ Risk Factors / Anthropometry (Other) / Biomarkers (Other)
/ Breast cancer (Other) / Inflammation (Other) / Menopausal
status (Other) / Adipokines (NLM Chemicals) / Adiponectin
(NLM Chemicals) / Biomarkers (NLM Chemicals) / Leptin (NLM
Chemicals) / C-Reactive Protein (NLM Chemicals)},
cin = {C020},
ddc = {610},
cid = {I:(DE-He78)C020-20160331},
pnm = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
pid = {G:(DE-HGF)POF4-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:35430795},
pmc = {pmc:PMC9014562},
doi = {10.1186/s12916-022-02319-y},
url = {https://inrepo02.dkfz.de/record/179588},
}