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@ARTICLE{Kliemann:274185,
author = {N. Kliemann and F. Rauber and R. Bertazzi Levy and V.
Viallon and E. P. Vamos and R. Cordova and H. Freisling and
C. Casagrande and G. Nicolas and D. Aune and K. K. Tsilidis
and A. Heath and M. B. Schulze and F. Jannasch and B.
Srour$^*$ and R. Kaaks$^*$ and M. Rodriguez-Barranco and G.
Tagliabue and A. Agudo and S. Panico and E. Ardanaz and
M.-D. Chirlaque and P. Vineis and R. Tumino and A.
Perez-Cornago and J. L. M. Andersen and A. Tjønneland and
G. Skeie and E. Weiderpass and C. A. Monteiro and M. J.
Gunter and C. Millett and I. Huybrechts},
title = {{F}ood processing and cancer risk in {E}urope: results from
the prospective {EPIC} cohort study.},
journal = {The lancet / Planetary health},
volume = {7},
number = {3},
issn = {2542-5196},
address = {Amsterdam},
publisher = {Elsevier},
reportid = {DKFZ-2023-00480},
pages = {e219 - e232},
year = {2023},
abstract = {Food processing has been hypothesised to play a role in
cancer development; however, data from large-scale
epidemiological studies are scarce. This study investigated
the association between dietary intake according to amount
of food processing and risk of cancer at 25 anatomical sites
using data from the European Prospective Investigation into
Cancer and Nutrition (EPIC) study.This study used data from
the prospective EPIC cohort study, which recruited
participants between March 18, 1991, and July 2, 2001, from
23 centres in ten European countries. Participant
eligibility within each cohort was based on geographical or
administrative boundaries. Participants were excluded if
they had a cancer diagnosis before recruitment, had missing
information for the NOVA food processing classification, or
were within the top and bottom $1\%$ for ratio of energy
intake to energy requirement. Validated dietary
questionnaires were used to obtain information on food and
drink consumption. Participants with cancer were identified
using cancer registries or during follow-up from a
combination of sources, including cancer and pathology
centres, health insurance records, and active follow-up of
participants. We performed a substitution analysis to assess
the effect of replacing $10\%$ of processed foods and
ultra-processed foods with $10\%$ of minimally processed
foods on cancer risk at 25 anatomical sites using Cox
proportional hazard models.521 324 participants were
recruited into EPIC, and 450 111 were included in this
analysis (318 686 $[70·8\%]$ participants were female
individuals and 131 425 $[29·2\%]$ were male individuals).
In a multivariate model adjusted for sex, smoking,
education, physical activity, height, and diabetes, a
substitution of $10\%$ of processed foods with an equal
amount of minimally processed foods was associated with
reduced risk of overall cancer (hazard ratio 0·96, $95\%$
CI 0·95-0·97), head and neck cancers (0·80, 0·75-0·85),
oesophageal squamous cell carcinoma (0·57, 0·51-0·64),
colon cancer (0·88, 0·85-0·92), rectal cancer (0·90,
0·85-0·94), hepatocellular carcinoma (0·77, 0·68-0·87),
and postmenopausal breast cancer (0·93, 0·90-0·97). The
substitution of $10\%$ of ultra-processed foods with $10\%$
of minimally processed foods was associated with a reduced
risk of head and neck cancers (0·80, 0·74-0·88), colon
cancer (0·93, 0·89-0·97), and hepatocellular carcinoma
(0·73, 0·62-0·86). Most of these associations remained
significant when models were additionally adjusted for BMI,
alcohol and dietary intake, and quality.This study suggests
that the replacement of processed and ultra-processed foods
and drinks with an equal amount of minimally processed foods
might reduce the risk of various cancer types.Cancer
Research UK, l'Institut National du Cancer, and World Cancer
Research Fund International.},
cin = {C020},
ddc = {000},
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:36889863},
doi = {10.1016/S2542-5196(23)00021-9},
url = {https://inrepo02.dkfz.de/record/274185},
}