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000157007 0247_ $$2doi$$a10.1158/1055-9965.EPI-20-0091
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000157007 041__ $$aeng
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000157007 1001_ $$aZhu, Jingjing$$b0
000157007 245__ $$aAssociations between Genetically Predicted Blood Protein Biomarkers and Pancreatic Cancer Risk.
000157007 260__ $$aPhiladelphia, Pa.$$bAACR$$c2020
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000157007 520__ $$aPancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies, with few known risk factors and biomarkers. Several blood protein biomarkers have been linked to PDAC in previous studies, but these studies have assessed only a limited number of biomarkers, usually in small samples. In this study, we evaluated associations of circulating protein levels and PDAC risk using genetic instruments.To identify novel circulating protein biomarkers of PDAC, we studied 8,280 cases and 6,728 controls of European descent from the Pancreatic Cancer Cohort Consortium and the Pancreatic Cancer Case-Control Consortium, using genetic instruments of protein quantitative trait loci.We observed associations between predicted concentrations of 38 proteins and PDAC risk at an FDR of < 0.05, including 23 of those proteins that showed an association even after Bonferroni correction. These include the protein encoded by ABO, which has been implicated as a potential target gene of PDAC risk variant. Eight of the identified proteins (LMA2L, TM11D, IP-10, ADH1B, STOM, TENC1, DOCK9, and CRBB2) were associated with PDAC risk after adjusting for previously reported PDAC risk variants (OR ranged from 0.79 to 1.52). Pathway enrichment analysis showed that the encoding genes for implicated proteins were significantly enriched in cancer-related pathways, such as STAT3 and IL15 production.We identified 38 candidates of protein biomarkers for PDAC risk.This study identifies novel protein biomarker candidates for PDAC, which if validated by additional studies, may contribute to the etiologic understanding of PDAC development.
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000157007 7001_ $$00000-0002-4129-9403$$aShu, Xiang$$b1
000157007 7001_ $$aGuo, Xingyi$$b2
000157007 7001_ $$aLiu, Duo$$b3
000157007 7001_ $$00000-0003-3423-5118$$aBao, Jiandong$$b4
000157007 7001_ $$00000-0001-5764-7268$$aMilne, Roger L$$b5
000157007 7001_ $$aGiles, Graham G$$b6
000157007 7001_ $$aWu, Chong$$b7
000157007 7001_ $$aDu, Mengmeng$$b8
000157007 7001_ $$aWhite, Emily$$b9
000157007 7001_ $$aRisch, Harvey A$$b10
000157007 7001_ $$00000-0003-2538-3784$$aMalats, Nuria$$b11
000157007 7001_ $$00000-0001-5256-0163$$aDuell, Eric J$$b12
000157007 7001_ $$aGoodman, Phyllis J$$b13
000157007 7001_ $$00000-0002-7542-0662$$aLi, Donghui$$b14
000157007 7001_ $$aBracci, Paige$$b15
000157007 7001_ $$0P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aKatzke, Verena$$b16$$udkfz
000157007 7001_ $$aNeale, Rachel E$$b17
000157007 7001_ $$aGallinger, Steven$$b18
000157007 7001_ $$00000-0002-5599-8387$$aVan Den Eeden, Stephen K$$b19
000157007 7001_ $$00000-0002-7775-8085$$aArslan, Alan A$$b20
000157007 7001_ $$0P:(DE-He78)5323704270b6393dcea70186ffd86bca$$aCanzian, Federico$$b21$$udkfz
000157007 7001_ $$aKooperberg, Charles$$b22
000157007 7001_ $$aBeane Freeman, Laura E$$b23
000157007 7001_ $$aScelo, Ghislaine$$b24
000157007 7001_ $$aVisvanathan, Kala$$b25
000157007 7001_ $$aHaiman, Christopher A$$b26
000157007 7001_ $$aLe Marchand, Loïc$$b27
000157007 7001_ $$00000-0003-3950-4815$$aYu, Herbert$$b28
000157007 7001_ $$aPetersen, Gloria M$$b29
000157007 7001_ $$aStolzenberg-Solomon, Rachael$$b30
000157007 7001_ $$00000-0003-2737-8399$$aKlein, Alison P$$b31
000157007 7001_ $$aCai, Qiuyin$$b32
000157007 7001_ $$aLong, Jirong$$b33
000157007 7001_ $$00000-0002-4129-9403$$aShu, Xiao-Ou$$b34
000157007 7001_ $$aZheng, Wei$$b35
000157007 7001_ $$aWu, Lang$$b36
000157007 773__ $$0PERI:(DE-600)2036781-8$$a10.1158/1055-9965.EPI-20-0091$$gVol. 29, no. 7, p. 1501 - 1508$$n7$$p1501 - 1508$$tCancer epidemiology, biomarkers & prevention$$v29$$x1538-7755$$y2020
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