Gene network and biological pathways associated with susceptibility to differentiated thyroid carcinoma.
Gene network and biological pathways associated with susceptibility to differentiated thyroid carcinoma.
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DOI:
10.1038/s41598-021-88253-0
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发表时间:
2021-04-26
影响因子:
4.6
通讯作者:
Lesueur F
中科院分区:
文献类型:
--
作者:
Kulkarni O;Sugier PE;Guibon J;Boland-Augé A;Lonjou C;Bacq-Daian D;Olaso R;Rubino C;Souchard V;Rachedi F;Lence-Anta JJ;Ortiz RM;Xhaard C;Laurent-Puig P;Mulot C;Guizard AV;Schvartz C;Boutron-Ruault MC;Ostroumova E;Kesminiene A;Deleuze JF;Guénel P;De Vathaire F;Truong T;Lesueur F
Variants identified in earlier genome-wide association studies (GWAS) on differentiated thyroid carcinoma (DTC) explain about 10% of the overall estimated genetic contribution and could not provide complete insights into biological mechanisms involved in DTC susceptibility. Integrating systems biology information from model organisms, genome-wide expression data from tumor and matched normal tissue and GWAS data could help identifying DTC-associated genes, and pathways or functional networks in which they are involved. We performed data mining of GWAS data of the EPITHYR consortium (1551 cases and 1957 controls) using various pathways and protein–protein interaction (PPI) annotation databases and gene expression data from The Cancer Genome Atlas. We identified eight DTC-associated genes at known loci 2q35 (DIRC3), 8p12 (NRG1), 9q22 (FOXE1, TRMO, HEMGN, ANP32B, NANS) and 14q13 (MBIP). Using the EW_dmGWAS approach we found that gene networks related to glycogenolysis, glycogen metabolism, insulin metabolism and signal transduction pathways associated with muscle contraction were overrepresented with association signals (false discovery rate adjusted p-value < 0.05). Additionally, suggestive association of 21 KEGG and 75 REACTOME pathways with DTC indicate a link between DTC susceptibility and functions related to metabolism of cholesterol, amino sugar and nucleotide sugar metabolism, steroid biosynthesis, and downregulation of ERBB2 signaling pathways. Together, our results provide novel insights into biological mechanisms contributing to DTC risk.
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影响因子:
--
作者:
Das J;Yu H
通讯作者:
Yu H
影响因子:
14.9
作者:
Kanehisa M;Furumichi M;Sato Y;Ishiguro-Watanabe M;Tanabe M
通讯作者:
Tanabe M
影响因子:
5.8
作者:
Kohler, Aleksandra;Chen, Bowang;Forsti, Asta
通讯作者:
Forsti, Asta
影响因子:
6.4
作者:
Hemminki, K;Lit, XJ
通讯作者:
Lit, XJ
DOI:
10.1158/1055-9965.epi-16-0106
发表时间:
2017-01
期刊:
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子:
--
作者:
Amos CI;Dennis J;Wang Z;Byun J;Schumacher FR;Gayther SA;Casey G;Hunter DJ;Sellers TA;Gruber SB;Dunning AM;Michailidou K;Fachal L;Doheny K;Spurdle AB;Li Y;Xiao X;Romm J;Pugh E;Coetzee GA;Hazelett DJ;Bojesen SE;Caga-Anan C;Haiman CA;Kamal A;Luccarini C;Tessier D;Vincent D;Bacot F;Van Den Berg DJ;Nelson S;Demetriades S;Goldgar DE;Couch FJ;Forman JL;Giles GG;Conti DV;Bickeböller H;Risch A;Waldenberger M;Brüske-Hohlfeld I;Hicks BD;Ling H;McGuffog L;Lee A;Kuchenbaecker K;Soucy P;Manz J;Cunningham JM;Butterbach K;Kote-Jarai Z;Kraft P;FitzGerald L;Lindström S;Adams M;McKay JD;Phelan CM;Benlloch S;Kelemen LE;Brennan P;Riggan M;O'Mara TA;Shen H;Shi Y;Thompson DJ;Goodman MT;Nielsen SF;Berchuck A;Laboissiere S;Schmit SL;Shelford T;Edlund CK;Taylor JA;Field JK;Park SK;Offit K;Thomassen M;Schmutzler R;Ottini L;Hung RJ;Marchini J;Amin Al Olama A;Peters U;Eeles RA;Seldin MF;Gillanders E;Seminara D;Antoniou AC;Pharoah PD;Chenevix-Trench G;Chanock SJ;Simard J;Easton DF
通讯作者:
Easton DF