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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00006058naa a2200673 4500
001oai:DiVA.org:uu-205549
003SwePub
008130819s2013 | |||||||||||000 ||eng|
009oai:DiVA.org:kth-139205
024a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-2055492 URI
024a https://doi.org/10.1371/journal.pone.00817122 DOI
024a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1392052 URI
040 a (SwePub)uud (SwePub)kth
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Darmanis, Spyrosu Uppsala universitet,Molekylära verktyg,Science for Life Laboratory, SciLifeLab4 aut0 (Swepub:uu)spyda949
2451 0a Identification of Candidate Serum Proteins for Classifying Well-Differentiated Small Intestinal Neuroendocrine Tumors
264 c 2013-11-25
264 1b Public Library of Science (PLoS),c 2013
338 a electronic2 rdacarrier
500 a QC 20140113
520 a BackgroundPatients with well-differentiated small intestine neuroendocrine tumors (WD-SI-NET) are most often diagnosed at a metastatic stage of disease, which reduces possibilities for a curative treatment. Thus new approaches for earlier detection and improved monitoring of the disease are required.Materials and methodsSuspension bead arrays targeting 124 unique proteins with antibodies from the Human Protein Atlas were used to profile biotinylated serum samples. Discoveries from a cohort of 77 individuals were followed up in a cohort of 132 individuals both including healthy controls as well as patients with untreated primary WD-SI-NETs, lymph node metastases and liver metastases.Results A set of 20 antibodies suggested promising proteins for further verification based on technically verified statistical significance. Proceeding, we assessed the classification performance in an independent cohort of patient serum, achieving, classification accuracy of up to 85% with different subsets of antibodies in respective pairwise group comparisons. The protein profiles of nine targets, namely IGFBP2, IGF1, SHKBP1, ETS1, IL1α, STX2, MAML3, EGR3 and XIAP were verified as significant contributors to tumor classification.ConclusionsWe propose new potential protein biomarker candidates for classifying WD-SI-NET at different stage of disease. Further evaluation of these proteins in larger sample sets and with alternative approaches is needed in order to further improve our understanding of their functional relation to WD-SI-NET and their eventual use in diagnostics.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Medicinsk bioteknologix Medicinsk bioteknologi0 (SwePub)304012 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Medical Biotechnologyx Medical Biotechnology0 (SwePub)304012 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Cell- och molekylärbiologi0 (SwePub)301082 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Cell and Molecular Biology0 (SwePub)301082 hsv//eng
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
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Endokrinologi och diabetes0 (SwePub)302052 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Endocrinology and Diabetes0 (SwePub)302052 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Gastroenterologi0 (SwePub)302132 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Gastroenterology and Hepatology0 (SwePub)302132 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Medicinsk bioteknologi0 (SwePub)3042 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Medical Biotechnology0 (SwePub)3042 hsv//eng
653 a Endokrinologi och Diabetologi
653 a Endocrinology and Diabetology
653 a Molecular Biology
653 a Molekylärbiologi
653 a Molekylär bioteknik
653 a Molecular Biotechnology
653 a Oncology
653 a Onkologi
653 a Growth-Factor
700a Cui, Taou Uppsala universitet,Onkologisk endokrinologi4 aut0 (Swepub:uu)taocu332
700a Drobin, Kimiu KTH,Proteomik och nanobioteknologi,Science for Life Laboratory, SciLifeLab,KTH - Royal Institute of Technology, Stockholm, Sweden,Science for Life Laboratory, School of Biotechnology4 aut0 (Swepub:kth)u130lrx0
700a Li, Su-Chenu Uppsala universitet,Onkologisk endokrinologi4 aut0 (Swepub:uu)suali171
700a Öberg, Kjellu Uppsala universitet,Onkologisk endokrinologi,Science for Life Laboratory, SciLifeLab4 aut0 (Swepub:uu)kjellob
700a Nilsson, Peteru KTH,Proteomik och nanobioteknologi,Science for Life Laboratory, SciLifeLab,KTH - Royal Institute of Technology, Stockholm, Sweden,Science for Life Laboratory, School of Biotechnology4 aut0 (Swepub:kth)u1ws88sk
700a Schwenk, Jochen M.u KTH,Proteomik och nanobioteknologi,Science for Life Laboratory, SciLifeLab,KTH - Royal Institute of Technology, Stockholm, Sweden,Science for Life Laboratory, School of Biotechnology4 aut0 (Swepub:kth)u1h7wtme
700a Giandomenico, Valeriau Uppsala universitet,Onkologisk endokrinologi,Science for Life Laboratory, SciLifeLab4 aut0 (Swepub:uu)valegian
710a Uppsala universitetb Molekylära verktyg4 org
773t PLOS ONEd : Public Library of Science (PLoS)g 8:11, s. e81712-q 8:11<e81712-x 1932-6203
856u https://uu.diva-portal.org/smash/get/diva2:644274/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
856u https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0081712&type=printable
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-205549
8564 8u https://doi.org/10.1371/journal.pone.0081712
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-139205

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