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Sökning: WFRF:(Rentoft Matilda) > (2020-2022) > Pan-cancer analysis...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00008921naa a2201153 4500
001oai:DiVA.org:umu-200663
003SwePub
008221107s2022 | |||||||||||000 ||eng|
009oai:lup.lub.lu.se:821f045b-0aa5-4df0-91e3-54c8563b2479
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-2006632 URI
0247 a https://doi.org/10.1186/s12916-022-02553-42 DOI
0247 a https://lup.lub.lu.se/record/821f045b-0aa5-4df0-91e3-54c8563b24792 URI
040 a (SwePub)umud (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Breeur, Marieu International Agency for Research on Cancer, World Health Organization4 aut
2451 0a Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition
264 c 2022-10-19
264 1b BioMed Central (BMC),c 2022
338 a electronic2 rdacarrier
520 a Background: Epidemiological studies of associations between metabolites and cancer risk have typically focused on specific cancer types separately. Here, we designed a multivariate pan-cancer analysis to identify metabolites potentially associated with multiple cancer types, while also allowing the investigation of cancer type-specific associations.Methods: We analysed targeted metabolomics data available for 5828 matched case-control pairs from cancer-specific case-control studies on breast, colorectal, endometrial, gallbladder, kidney, localized and advanced prostate cancer, and hepatocellular carcinoma nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. From pre-diagnostic blood levels of an initial set of 117 metabolites, 33 cluster representatives of strongly correlated metabolites and 17 single metabolites were derived by hierarchical clustering. The mutually adjusted associations of the resulting 50 metabolites with cancer risk were examined in penalized conditional logistic regression models adjusted for body mass index, using the data-shared lasso penalty.Results: Out of the 50 studied metabolites, (i) six were inversely associated with the risk of most cancer types: glutamine, butyrylcarnitine, lysophosphatidylcholine a C18:2, and three clusters of phosphatidylcholines (PCs); (ii) three were positively associated with most cancer types: proline, decanoylcarnitine, and one cluster of PCs; and (iii) 10 were specifically associated with particular cancer types, including histidine that was inversely associated with colorectal cancer risk and one cluster of sphingomyelins that was inversely associated with risk of hepatocellular carcinoma and positively with endometrial cancer risk.Conclusions: These results could provide novel insights for the identification of pathways for cancer development, in particular those shared across different cancer types.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng
653 a Breast
653 a Cancer
653 a Colorectal
653 a Endometrial
653 a EPIC
653 a Kidney
653 a Lasso
653 a Liver
653 a Metabolomics
653 a Prostate
653 a Breast
653 a Cancer
653 a Colorectal
653 a Endometrial
653 a EPIC
653 a Kidney
653 a Lasso
653 a Liver
653 a Metabolomics
653 a Prostate
7001 a Ferrari, Pietrou International Agency for Research on Cancer, World Health Organization4 aut
7001 a Dossus, Laureu International Agency for Research on Cancer, World Health Organization4 aut
7001 a Jenab, Mazdau International Agency for Research on Cancer, World Health Organization4 aut
7001 a Johansson, Mattiasu International Agency for Research on Cancer, World Health Organization4 aut
7001 a Rinaldi, Sabinau International Agency for Research on Cancer, World Health Organization4 aut
7001 a Travis, Ruth C.u University of Oxford4 aut
7001 a His, Mathildeu International Agency for Research on Cancer, World Health Organization4 aut
7001 a Key, Tim J.u University of Oxford4 aut
7001 a Schmidt, Julie A.u University of Oxford,Aarhus University Hospital4 aut
7001 a Overvad, Kimu Aarhus University4 aut
7001 a Tjønneland, Anneu Danish Cancer Society4 aut
7001 a Kyrø, Cecilieu Danish Cancer Society4 aut
7001 a Rothwell, Joseph A.u Versailles Saint-Quentin-en-Yvelines University4 aut
7001 a Laouali, Nasseru Versailles Saint-Quentin-en-Yvelines University4 aut
7001 a Severi, Gianlucau Versailles Saint-Quentin-en-Yvelines University4 aut
7001 a Kaaks, Rudolfu German Cancer Research Centre4 aut
7001 a Katzke, Verenau German Cancer Research Centre4 aut
7001 a Schulze, Matthias B.u German Institute of Human Nutrition4 aut
7001 a Eichelmann, Fabianu German Center for Diabetes Research,German Institute of Human Nutrition4 aut
7001 a Palli, Domenicou Institute for Cancer Research, Prevention and Clinical Network (ISPRO)4 aut
7001 a Grioni, Sarau Istituto Nazionale dei Tumori4 aut
7001 a Panico, Salvatoreu University of Naples Federico II4 aut
7001 a Tumino, Rosario4 aut
7001 a Sacerdote, Carlottau Citta' della Salute e della Scienza Hospital-University of Turin4 aut
7001 a Bueno-de-Mesquita, Basu National Institute for Public Health and the Environment (RIVM)4 aut
7001 a Olsen, Karina Standahlu UiT The Arctic University of Norway, Tromsø4 aut
7001 a Sandanger, Torkjel Manningu UiT The Arctic University of Norway, Tromsø4 aut
7001 a Nøst, Therese Haugdahlu UiT The Arctic University of Norway, Tromsø4 aut
7001 a Quirós, J. Ramónu Public Health Directorate4 aut
7001 a Bonet, Catalinau Bellvitge University Hospital-IDIBELL4 aut
7001 a Barranco, Miguel Rodríguezu Andalusian School Of Public Health (EASP),CIBER Epidemiology and Public Health (CIBERESP)4 aut
7001 a Chirlaque, María-Doloresu University of Murcia,CIBER Epidemiology and Public Health (CIBERESP)4 aut
7001 a Ardanaz, Evau CIBER Epidemiology and Public Health (CIBERESP),Health Research Institute of Navarra (IDISNA)4 aut0 (Swepub:lu)extLU-05
7001 a Sandsveden, Malteu Lund University,Lunds universitet,Kirurgi,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Surgery,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments4 aut0 (Swepub:lu)ma6468sa
7001 a Manjer, Jonasu Lund University,Lunds universitet,Kirurgi,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Surgery,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Skåne University Hospital4 aut0 (Swepub:lu)smi-jma
7001 a Vidman, Lindau Umeå University,Umeå universitet,Onkologi4 aut0 (Swepub:umu)livi0018
7001 a Rentoft, Matildau Umeå University,Umeå universitet,Onkologi4 aut0 (Swepub:umu)maaret01
7001 a Muller, Davidu Imperial College London4 aut
7001 a Tsilidis, Kostasu Imperial College London4 aut
7001 a Heath, Alicia K.u Imperial College London4 aut
7001 a Keun, Hectoru Imperial College London4 aut
7001 a Adamski, Jerzyu University of Ljubljana,Helmholtz Zentrum München,National University of Singapore4 aut
7001 a Keski-Rahkonen, Pekkau International Agency for Research on Cancer, World Health Organization4 aut
7001 a Scalbert, Augustinu International Agency for Research on Cancer, World Health Organization4 aut
7001 a Gunter, Marc J.u International Agency for Research on Cancer, World Health Organization4 aut
7001 a Viallon, Vivianu International Agency for Research on Cancer, World Health Organization4 aut
7102 a International Agency for Research on Cancer, World Health Organizationb University of Oxford4 org
7730 t BMC Medicined : BioMed Central (BMC)g 20:1q 20:1x 1741-7015
8564 u https://doi.org/10.1186/s12916-022-02553-4y Fulltext
8564 u https://umu.diva-portal.org/smash/get/diva2:1709067/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u http://dx.doi.org/10.1186/s12916-022-02553-4x freey FULLTEXT
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-200663
8564 8u https://doi.org/10.1186/s12916-022-02553-4
8564 8u https://lup.lub.lu.se/record/821f045b-0aa5-4df0-91e3-54c8563b2479

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