Home > Publications database > Association of Sugar Intake with Inflammation- and Angiogenesis-Related Biomarkers in Newly Diagnosed Colorectal Cancer Patients. > print |
001 | 170152 | ||
005 | 20240229133706.0 | ||
024 | 7 | _ | |a 10.1080/01635581.2021.1957133 |2 doi |
024 | 7 | _ | |a pmid:34369225 |2 pmid |
024 | 7 | _ | |a 0163-5581 |2 ISSN |
024 | 7 | _ | |a 1532-7914 |2 ISSN |
024 | 7 | _ | |a altmetric:111530897 |2 altmetric |
037 | _ | _ | |a DKFZ-2021-01782 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Stewart, Kelly L |b 0 |
245 | _ | _ | |a Association of Sugar Intake with Inflammation- and Angiogenesis-Related Biomarkers in Newly Diagnosed Colorectal Cancer Patients. |
260 | _ | _ | |a New York, NY |c 2022 |b Routledge, Taylor & Francis Group |
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 1652441630_26049 |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 2022;74(5):1636-1643 |
520 | _ | _ | |a Evidence suggests a positive association between sugar intake and colorectal cancer (CRC) outcomes. We sought to investigate inflammation and angiogenesis as underlying mechanisms behind increased sugar intake and worse CRC outcomes. Pre-surgery serum samples were obtained from 191 patients diagnosed with primary invasive stage I-IV CRC. Biomarkers of inflammation (CRP, SAA, IL-6, IL-8, MCP-1, TNFα) and angiogenesis (VEGFA, VEGFD, sICAM-1 and sVCAM-1) were analyzed (Meso-Scale-Discovery). Fructose, glucose, sucrose, and total sugar intake (calories/day, % total calories) were assessed by FFQ. Pearson's correlation and multiple linear regression analyses were performed. Patients were on average 64 years old, 64% were male, the majority was diagnosed with stage II-III (58%) cancers, and 67% were either overweight or obese. Among normal-weight individuals (BMI <25 kg/m2), we observed a significant inverse association between VEGFD and any type of sugar intake in cal/day (sucrose: p = 0.01, glucose and fructose: p < 0.001) and MCP-1 and fructose intake (p = 0.05). The magnitude of reduction in VEGF ranged between -1.24 for sucrose to 4.49 for glucose intake, and -2.64 for fructose intake for MCP-1 levels. Sugar intake was associated with some inflammation or angiogenesis biomarkers, among CRC patients; differences were observed by adiposity that warrant further investigation.Supplemental data for this article is available online at at 10.1080/01635581.2021.1957133. |
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: inrepo01.inet.dkfz-heidelberg.de |
700 | 1 | _ | |a Gigic, Biljana |b 1 |
700 | 1 | _ | |a Himbert, Caroline |b 2 |
700 | 1 | _ | |a Warby, Christy A |b 3 |
700 | 1 | _ | |a Ose, Jennifer |b 4 |
700 | 1 | _ | |a Lin, Tengda |b 5 |
700 | 1 | _ | |a Schrotz-King, Petra |0 P:(DE-He78)01ef71f71b01a3ec3b698653fd43fe86 |b 6 |u dkfz |
700 | 1 | _ | |a Boehm, Jürgen |b 7 |
700 | 1 | _ | |a Jordan, Kristine C |0 0000-0002-0688-6514 |b 8 |
700 | 1 | _ | |a Metos, Julie |0 0000-0003-4531-7725 |b 9 |
700 | 1 | _ | |a Schneider, Martin |b 10 |
700 | 1 | _ | |a Figueiredo, Jane C |b 11 |
700 | 1 | _ | |a Li, Christopher I |b 12 |
700 | 1 | _ | |a Shibata, David |b 13 |
700 | 1 | _ | |a Siegel, Erin |b 14 |
700 | 1 | _ | |a Toriola, Adetunji T |b 15 |
700 | 1 | _ | |a Hardikar, Sheetal |b 16 |
700 | 1 | _ | |a Ulrich, Cornelia M |b 17 |
773 | _ | _ | |a 10.1080/01635581.2021.1957133 |g p. 1 - 8 |0 PERI:(DE-600)2025822-7 |n 5 |p 1636-1643 |t Nutrition and cancer |v 74 |y 2022 |x 1532-7914 |
909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:170152 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 6 |6 P:(DE-He78)01ef71f71b01a3ec3b698653fd43fe86 |
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 2021 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-02-03 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2021-02-03 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-02-03 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b NUTR CANCER : 2021 |d 2022-11-09 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2022-11-09 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2022-11-09 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2022-11-09 |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2022-11-09 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2022-11-09 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2022-11-09 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2022-11-09 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2022-11-09 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2022-11-09 |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2022-11-09 |
920 | 1 | _ | |0 I:(DE-He78)C120-20160331 |k C120 |l Präventive Onkologie |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)C120-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|