001     147188
005     20240229112642.0
024 7 _ |2 doi
|a 10.1155/2019/6470950
024 7 _ |2 pmid
|a pmid:31565153
024 7 _ |2 pmc
|a pmc:PMC6745103
024 7 _ |2 ISSN
|a 1942-0900
024 7 _ |2 ISSN
|a 1942-0994
024 7 _ |2 altmetric
|a altmetric:67547641
037 _ _ |a DKFZ-2019-02324
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |0 P:(DE-He78)8218df9f6f41792399cd3a29b587e4e7
|a Gao, Xin
|b 0
|e First author
|u dkfz
245 _ _ |a Nitric Oxide Metabolites and Lung Cancer Incidence: A Matched Case-Control Study Nested in the ESTHER Cohort.
260 _ _ |a Austin, Tex.
|b Landes Bioscience
|c 2019
336 7 _ |2 DRIVER
|a article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
|b journal
|m journal
|s 1572002508_3566
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
336 7 _ |0 0
|2 EndNote
|a Journal Article
520 _ _ |a Studies suggest that nitric oxide (NO) may have a possible role in lung carcinogenesis. This study is aimed to evaluate the association of the NO metabolites, namely, nitrite and nitrate, with lung cancer incidence. We conducted a matched case-control study (n = 245 incident lung cancer cases and n = 735 controls) based on the German ESTHER cohort (n = 9,940). Controls were matched to cases on age, sex, smoking status (never/former/current smoking), and pack-years of smoking. The sum of nitrite and nitrate was measured in urine samples using a colorimetric assay and was standardized for renal function by urinary creatinine. Conditional logistic regression models, adjusted for lifestyle factors, asthma prevalence, and family history of lung cancer, were used to estimate odds ratios (ORs) and 95% confidence intervals (95% CI). Among incident lung cancer cases, high nitrite/nitrate levels were statistically significantly associated with current smoking, a low BMI, and the oxidative stress biomarker 8-isoprostane levels. Nitrite/nitrate levels in the top quintile were statistically significantly associated with lung cancer incidence: the OR (95% CI) was 1.37 (1.04-1.82) for comparison with the bottom quintile. This association was unaltered after additional adjustment for 8-isoprostane levels and C-reactive protein (CRP). In conclusion, this large cohort study suggested that subjects with high urinary nitrite/nitrate concentrations had an increased risk of lung cancer and this association was independent of smoking, CRP, 8-isoprostane levels, and other established lung cancer risk factors. Further studies are needed to validate these findings and to confirm the hypothesis that pathologically high levels of NO are involved in lung cancer development.
536 _ _ |0 G:(DE-HGF)POF3-313
|a 313 - Cancer risk factors and prevention (POF3-313)
|c POF3-313
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |0 P:(DE-He78)ebbb855092f574cef61b6f3ce7640d87
|a Xuan, Yang
|b 1
|u dkfz
700 1 _ |0 P:(DE-He78)e15dfa1260625c69d6690a197392a994
|a Benner, Axel
|b 2
|u dkfz
700 1 _ |0 P:(DE-He78)c78a3ddbabb2155657210120936e9801
|a Anusruti, Ankita
|b 3
|u dkfz
700 1 _ |0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
|a Brenner, Hermann
|b 4
|u dkfz
700 1 _ |0 P:(DE-He78)c67a12496b8aac150c0eef888d808d46
|a Schöttker, Ben
|b 5
|e Last author
|u dkfz
773 _ _ |0 PERI:(DE-600)2455981-7
|a 10.1155/2019/6470950
|g Vol. 2019, p. 1 - 9
|p 6470950
|t Oxidative medicine and cellular longevity
|v 2019
|x 1942-0994
|y 2019
909 C O |o oai:inrepo02.dkfz.de:147188
|p VDB
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)8218df9f6f41792399cd3a29b587e4e7
|a Deutsches Krebsforschungszentrum
|b 0
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)ebbb855092f574cef61b6f3ce7640d87
|a Deutsches Krebsforschungszentrum
|b 1
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)e15dfa1260625c69d6690a197392a994
|a Deutsches Krebsforschungszentrum
|b 2
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)c78a3ddbabb2155657210120936e9801
|a Deutsches Krebsforschungszentrum
|b 3
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
|a Deutsches Krebsforschungszentrum
|b 4
|k DKFZ
910 1 _ |0 I:(DE-588b)2036810-0
|6 P:(DE-He78)c67a12496b8aac150c0eef888d808d46
|a Deutsches Krebsforschungszentrum
|b 5
|k DKFZ
913 1 _ |0 G:(DE-HGF)POF3-313
|1 G:(DE-HGF)POF3-310
|2 G:(DE-HGF)POF3-300
|a DE-HGF
|l Krebsforschung
|v Cancer risk factors and prevention
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2019
915 _ _ |0 StatID:(DE-HGF)0100
|2 StatID
|a JCR
|b OXID MED CELL LONGEV : 2017
915 _ _ |0 StatID:(DE-HGF)0200
|2 StatID
|a DBCoverage
|b SCOPUS
915 _ _ |0 StatID:(DE-HGF)0300
|2 StatID
|a DBCoverage
|b Medline
915 _ _ |0 StatID:(DE-HGF)0310
|2 StatID
|a DBCoverage
|b NCBI Molecular Biology Database
915 _ _ |0 StatID:(DE-HGF)0320
|2 StatID
|a DBCoverage
|b PubMed Central
915 _ _ |0 StatID:(DE-HGF)0501
|2 StatID
|a DBCoverage
|b DOAJ Seal
915 _ _ |0 StatID:(DE-HGF)0500
|2 StatID
|a DBCoverage
|b DOAJ
915 _ _ |0 StatID:(DE-HGF)0030
|2 StatID
|a Peer Review
|b DOAJ : Blind peer review
915 _ _ |0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|a Creative Commons Attribution CC BY (No Version)
|b DOAJ
915 _ _ |0 StatID:(DE-HGF)0199
|2 StatID
|a DBCoverage
|b Clarivate Analytics Master Journal List
915 _ _ |0 StatID:(DE-HGF)0111
|2 StatID
|a WoS
|b Science Citation Index Expanded
915 _ _ |0 StatID:(DE-HGF)0150
|2 StatID
|a DBCoverage
|b Web of Science Core Collection
915 _ _ |0 StatID:(DE-HGF)1050
|2 StatID
|a DBCoverage
|b BIOSIS Previews
915 _ _ |0 StatID:(DE-HGF)9900
|2 StatID
|a IF < 5
920 1 _ |0 I:(DE-He78)C070-20160331
|k C070
|l Klinische Epidemiologie und Alternsforschung
|x 0
920 1 _ |0 I:(DE-He78)C120-20160331
|k C120
|l Präventive Onkologie
|x 1
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l Biostatistik
|x 2
920 1 _ |0 I:(DE-He78)L101-20160331
|k L101
|l DKTK Heidelberg
|x 3
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C070-20160331
980 _ _ |a I:(DE-He78)C120-20160331
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a I:(DE-He78)L101-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21