001     307368
005     20260213120749.0
024 7 _ |a 10.1186/s12937-025-01266-7
|2 doi
024 7 _ |a pmid:41422247
|2 pmid
037 _ _ |a DKFZ-2025-03012
041 _ _ |a English
082 _ _ |a 570
100 1 _ |a Rizzolo-Brime, Lucía
|b 0
245 _ _ |a Dietary nitrosyl-heme from processed meats and its association with colorectal cancer risk: findings from the EPIC cohort study.
260 _ _ |a London
|c 2026
|b BioMed Central
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1769421931_3933355
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a Volume 25, article number 14, (2026) / brief report
520 _ _ |a Processed meat (PM) consumption is an established risk factor for colorectal cancer (CRC). It has been hypothesized that nitrosyl-heme, formed by the addition of nitrites during meat processing, may enhance the carcinogenic effects of PMs. This study aims to investigate the association between nitrosyl-heme intake and CRC risk within the European Prospective Investigation into Cancer and Nutrition(EPIC) study.This prospective study included 367,463 participants(70.3% women) from seven countries from the EPIC-study. Dietary data were collected via baseline questionnaires, and nitrosyl-heme exposure was estimated using biochemical data from 52 Spanish PMs, extrapolated to country-specific items. Sex-specific multivariable-adjusted hazard ratios(HRs) and 95% confidence intervals(CIs) were calculated using Cox proportional hazards models.Over a 15-year median follow-up, 5,115 incident CRC cases were identified. Comparing the highest vs. the lowest sex-specific tertile of nitrosyl-heme intake we found no significant association with CRC risk (HRT3vsT1:1.01;95%CI:0.93-1.09). Subgroup analyses by tumor subtype and interactions with lifestyle factors also showed no associations.This study offers insights into nitrosyl-heme exposure in European populations but found no link to CRC risk. Further research is needed to understand nitrosyl-heme's role in CRC.
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a Colorectal cancer
|2 Other
650 _ 7 |a Nitrosyl-heme
|2 Other
650 _ 7 |a Processed meat
|2 Other
700 1 _ |a Lujan-Barroso, Leila
|b 1
700 1 _ |a Farran-Codina, Andreu
|b 2
700 1 _ |a Bou, Ricard
|b 3
700 1 _ |a Nicolas, Genevieve
|b 4
700 1 _ |a Huybrechts, Inge
|b 5
700 1 _ |a Lasheras, Cristina
|b 6
700 1 _ |a Montes, Esther Molina
|b 7
700 1 _ |a Colorado-Yohar, Sandra
|b 8
700 1 _ |a Gasque, Alba
|b 9
700 1 _ |a Dahm, Christina C
|b 10
700 1 _ |a Bock, Niels
|b 11
700 1 _ |a Olsen, Anja
|b 12
700 1 _ |a Tjønneland, Anne
|b 13
700 1 _ |a Katzke, Verena
|0 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4
|b 14
|u dkfz
700 1 _ |a le Cornet, Charlotte
|0 P:(DE-He78)2d4cac0f4bf270325b98fe07036dc6c6
|b 15
|u dkfz
700 1 _ |a Schulze, Matthias B
|b 16
700 1 _ |a Saieva, Calogero
|b 17
700 1 _ |a Sieri, Sabina
|b 18
700 1 _ |a De Magistris, Maria Santucci
|b 19
700 1 _ |a Tumino, Rosario
|b 20
700 1 _ |a Macciotta, Alessandra
|b 21
700 1 _ |a Wareham, Nick
|b 22
700 1 _ |a Weiderpass, Elisabete
|b 23
700 1 _ |a Chatziioannou, Chrysovalantou
|b 24
700 1 _ |a Vineis, Paolo
|b 25
700 1 _ |a Jakszyn, Paula
|0 0000-0003-0672-8847
|b 26
773 _ _ |a 10.1186/s12937-025-01266-7
|0 PERI:(DE-600)2091602-4
|n 1
|p 14
|t Nutrition journal
|v 25
|y 2026
|x 1475-2891
856 4 _ |y OpenAccess
|u https://inrepo02.dkfz.de/record/307368/files/s12937-025-01266-7-1.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://inrepo02.dkfz.de/record/307368/files/s12937-025-01266-7-1.pdf?subformat=pdfa
909 C O |o oai:inrepo02.dkfz.de:307368
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 14
|6 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 15
|6 P:(DE-He78)2d4cac0f4bf270325b98fe07036dc6c6
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-313
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Krebsrisikofaktoren und Prävention
|x 0
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2025-01-07
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NUTR J : 2022
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-04-10T15:44:05Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-04-10T15:44:05Z
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2025-01-07
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-07
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2025-01-07
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2025-01-07
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b NUTR J : 2022
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-07
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l Epidemiologie von Krebs
|x 0
920 1 _ |0 I:(DE-He78)C180-20160331
|k C180
|l Krebsepidemiologie
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a I:(DE-He78)C180-20160331
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21