001     157505
005     20240229123140.0
024 7 _ |a 10.1038/s41598-020-70790-9
|2 doi
024 7 _ |a pmid:32796953
|2 pmid
024 7 _ |a altmetric:89092693
|2 altmetric
037 _ _ |a DKFZ-2020-01665
041 _ _ |a eng
082 _ _ |a 600
100 1 _ |a Saberi Hosnijeh, Fatemeh
|b 0
245 _ _ |a Mediating effect of soluble B-cell activation immune markers on the association between anthropometric and lifestyle factors and lymphoma development.
260 _ _ |a [London]
|c 2020
|b Macmillan Publishers Limited, part of Springer Nature
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 1597753330_9274
|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
520 _ _ |a Sustained B-cell activation is an important mechanism contributing to B-cell lymphoma (BCL). We aimed to validate four previously reported B-cell activation markers predictive of BCL risk (sCD23, sCD27, sCD30, and CXCL13) and to examine their possible mediating effects on the association between anthropometric and lifestyle factors and major BCL subtypes. Pre-diagnostic serum levels were measured for 517 BCL cases and 525 controls in a nested case-control study. The odds ratios of BCL were 6.2 in the highest versus lowest quartile for sCD23, 2.6 for sCD30, 4.2 for sCD27, and 2.6 for CXCL13. Higher levels of all markers were associated with increased risk of chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), and diffuse large B-cell lymphoma (DLBCL). Following mutual adjustment for the other immune markers, sCD23 remained associated with all subtypes and CXCL13 with FL and DLBCL. The associations of sCD23 with CLL and DLBCL and CXCL13 with DLBCL persisted among cases sampled > 9 years before diagnosis. sCD23 showed a good predictive ability (area under the curve = 0.80) for CLL, in particular among older, male participants. sCD23 and CXCL13 showed a mediating effect between body mass index (positive) and DLBCL risk, while CXCL13 contributed to the association between physical activity (inverse) and DLBCL. Our data suggest a role of B-cell activation in BCL development and a mediating role of the immune system for lifestyle factors.
536 _ _ |a 313 - Cancer risk factors and prevention (POF3-313)
|0 G:(DE-HGF)POF3-313
|c POF3-313
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Kolijn, Pieter M
|b 1
700 1 _ |a Casabonne, Delphine
|b 2
700 1 _ |a Nieters, Alexandra
|b 3
700 1 _ |a Solans, Marta
|b 4
700 1 _ |a Naudin, Sabine
|b 5
700 1 _ |a Ferrari, Pietro
|b 6
700 1 _ |a Mckay, James D
|b 7
700 1 _ |a Weiderpass, Elisabete
|b 8
700 1 _ |a Perduca, Vittorio
|b 9
700 1 _ |a Besson, Caroline
|b 10
700 1 _ |a Mancini, Francesca Romana
|b 11
700 1 _ |a Masala, Giovanna
|b 12
700 1 _ |a Krogh, Vittorio
|b 13
700 1 _ |a Ricceri, Fulvio
|b 14
700 1 _ |a Huerta, José M
|b 15
700 1 _ |a Petrova, Dafina
|b 16
700 1 _ |a Sala, Núria
|b 17
700 1 _ |a Trichopoulou, Antonia
|b 18
700 1 _ |a Karakatsani, Anna
|b 19
700 1 _ |a La Vecchia, Carlo
|b 20
700 1 _ |a Kaaks, Rudolf
|0 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a
|b 21
|u dkfz
700 1 _ |a Canzian, Federico
|0 P:(DE-He78)5323704270b6393dcea70186ffd86bca
|b 22
|u dkfz
700 1 _ |a Aune, Dagfinn
|b 23
700 1 _ |a Boeing, Heiner
|b 24
700 1 _ |a Schulze, Matthias B
|b 25
700 1 _ |a Perez-Cornago, Aurora
|b 26
700 1 _ |a Langerak, Anton W
|b 27
700 1 _ |a van der Velden, Vincent H J
|b 28
700 1 _ |a Vermeulen, Roel
|b 29
773 _ _ |a 10.1038/s41598-020-70790-9
|g Vol. 10, no. 1, p. 13814
|0 PERI:(DE-600)2615211-3
|n 1
|p 13814
|t Scientific reports
|v 10
|y 2020
|x 2045-2322
909 C O |o oai:inrepo02.dkfz.de:157505
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 21
|6 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 22
|6 P:(DE-He78)5323704270b6393dcea70186ffd86bca
913 1 _ |a DE-HGF
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-313
|2 G:(DE-HGF)POF3-300
|v Cancer risk factors and prevention
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2020
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b SCI REP-UK : 2018
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-01-16
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
|d 2020-01-16
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-01-16
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2020-01-16
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-01-16
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2020-01-16
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2020-01-16
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|f 2020-01-16
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2020-01-16
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l C020 Epidemiologie von Krebs
|x 0
920 1 _ |0 I:(DE-He78)C055-20160331
|k C055
|l C055 Genomische Epidemiologie
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a I:(DE-He78)C055-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21