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FältnamnIndikatorerMetadata
00006523naa a2200577 4500
001oai:DiVA.org:his-23791
003SwePub
008240430s2024 | |||||||||||000 ||eng|
009oai:DiVA.org:umu-224962
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-237912 URI
0247 a https://doi.org/10.21037/jgo-23-9302 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-2249622 URI
040 a (SwePub)hisd (SwePub)umu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Borgmästars, Emmyu Umeå universitet,Kirurgi4 aut0 (Swepub:umu)embo0061
2451 0a Metabolomics for early pancreatic cancer detection in plasma samples from a Swedish prospective population-based biobank
264 1b AME Publishing Company,c 2024
338 a electronic2 rdacarrier
500 a CC BY-NC-ND 4.0 DEEDCorrespondence to: Emmy Borgmästars, PhD. Department of Surgical and Perioperative Sciences/Surgery, Umeå University, Norrlands Universitetssjukhus, 6M, M31, 901 85 Umeå, Sweden. Email: emmy.borgmastars@umu.seThis work was supported by Umeå University, the Swedish Cancer Society (19 0273, 2017-557, CAN 2017/332, CAN 2017/827), the Swedish Research Council (2019-01690, 2016-02990, 2017-01531), Västerbotten Region (RV-583411, RV-549731, RV-841551, RV-930167, VLL-643451, RV-930478, RV-930132, RV-9960708, RV-99607108, VLL-837731), the Sjöberg Foundation, the Claes Groschinsky Memorial Foundation (M 19391), Bengt Ihre Foundation (SLS-885861, SLS-960529), Swedish Society of Medicine (SLS-960379), Lion’s Cancer Research Foundation, the Knut and Alice Wallenberg Foundation, Finska Läkaresällskapet, the Sigrid Juselius Foundation, Medicinska Understödsföreningen Liv och Hälsa, Bengt Ihre Fellowship Research Grant, and the JC Kempe Memorial Foundation Scholarship Fund.
520 a Background: Pancreatic ductal adenocarcinoma (pancreatic cancer) is often detected at late stages resulting in poor overall survival. To improve survival, more patients need to be diagnosed early when curative surgery is feasible. We aimed to identify circulating metabolites that could be used as early pancreatic cancer biomarkers.Methods: We performed metabolomics by liquid and gas chromatography-mass spectrometry in plasma samples from 82 future pancreatic cancer patients and 82 matched healthy controls within the Northern Sweden Health and Disease Study (NSHDS). Logistic regression was used to assess univariate associations between metabolites and pancreatic cancer risk. Least absolute shrinkage and selection operator (LASSO) logistic regression was used to design a metabolite-based risk score. We used receiver operating characteristic (ROC) analyses to assess the discriminative performance of the metabolite-based risk score.Results: Among twelve risk-associated metabolites with a nominal P value <0.05, we defined a risk score of three metabolites [indoleacetate, 3-hydroxydecanoate (10:0-OH), and retention index (RI): 2,745.4] using LASSO. A logistic regression model containing these three metabolites, age, sex, body mass index (BMI), smoking status, sample date, fasting status, and carbohydrate antigen 19-9 (CA 19-9) yielded an internal area under curve (AUC) of 0.784 [95% confidence interval (CI): 0.714–0.854] compared to 0.681 (95% CI: 0.597–0.764) for a model without these metabolites (P value =0.007). Seventeen metabolites were significantly associated with pancreatic cancer survival [false discovery rate (FDR) <0.1].Conclusions: Indoleacetate, 3-hydroxydecanoate (10:0-OH), and RI: 2,745.4 were identified as the top candidate biomarkers for early detection. However, continued efforts are warranted to determine the usefulness of these metabolites as early pancreatic cancer biomarkers.
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 Pancreatic neoplasms
653 a biomarkers
653 a hyperglycemia
653 a risk
653 a survival
653 a Bioinformatik
653 a Bioinformatics
7001 a Jacobson, Sarau Umeå universitet,Kirurgi4 aut0 (Swepub:umu)saja0030
7001 a Simm, Majau Umeå universitet,Obstetrik och gynekologi,Kirurgi4 aut0 (Swepub:umu)makr0062
7001 a Johansson, Mattiasu Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France4 aut
7001 a Billing, Ola,d 1981-u Umeå universitet,Kirurgi4 aut0 (Swepub:umu)olabig00
7001 a Lundin, Christina,d 1970-u Umeå universitet,Kirurgi4 aut0 (Swepub:umu)chlu0008
7001 a Nyström, Hanna,d 1980-u Umeå universitet,Wallenberg centrum för molekylär medicin vid Umeå universitet (WCMM),Kirurgi4 aut0 (Swepub:umu)haanym01
7001 a Öhlund, Daniel,d 1979-u Umeå universitet,Wallenberg centrum för molekylär medicin vid Umeå universitet (WCMM),Onkologi4 aut0 (Swepub:umu)dalohd00
7001 a Lubovac-Pilav, Zelminau Högskolan i Skövde,Institutionen för biovetenskap,Forskningsmiljön Systembiologi,Translational Bioinformatics,Department of Biology and Bioinformatics, University of Skövde, Skövde, Sweden4 aut0 (Swepub:his)lubz
7001 a Jonsson, Päru Umeå universitet,Kemiska institutionen4 aut0 (Swepub:umu)parjon95
7001 a Franklin, Oskar,d 1985-u Umeå universitet,Kirurgi,Division of Surgical Oncology, Department of Surgery, University of Colorado School of Medicine, CO, Aurora, United States4 aut0 (Swepub:umu)osfr0002
7001 a Sund, Malinu Umeå universitet,Kirurgi,Department of Surgery, University of Helsinki, Helsinki University Hospital, Helsinki, Finland4 aut0 (Swepub:umu)masu0021
7102 a Umeå universitetb Kirurgi4 org
7730 t Journal of Gastrointestinal Oncologyd : AME Publishing Companyg 15:2, s. 755-767q 15:2<755-767x 2078-6891x 2219-679X
8564 u https://doi.org/10.21037/jgo-23-930y Fulltext
8564 u https://his.diva-portal.org/smash/get/diva2:1855303/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u https://umu.diva-portal.org/smash/get/diva2:1861275/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-23791
8564 8u https://doi.org/10.21037/jgo-23-930
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-224962

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