Joint relative risks for estrogen receptor-positive breast cancer from a clinical model, polygenic risk score, and sex hormones.
Joint relative risks for estrogen receptor-positive breast cancer from a clinical model, polygenic risk score, and sex hormones.
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DOI：
10.1007/s10549-017-4430-2
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发表时间：
2017-11
影响因子：
3.8
通讯作者：
Cummings SR
中科院分区：
文献类型：
--
作者：
Shieh Y;Hu D;Ma L;Huntsman S;Gard CC;Leung JWT;Tice JA;Ziv E;Kerlikowske K;Cummings SR
预测雌激素受体(ER)阳性乳腺癌风险的模型可能会提高我们针对化学预防的能力。我们调查了性激素在乳腺癌监测联盟(BCSC)风险模型和由83个单核苷酸多态组成的多基因风险评分中的作用。我们进行了一项嵌套式病例对照研究，研究对象为110名ER阳性乳腺癌患者和214名乳房X光检查筛查队列中的匹配对照。参与者是绝经后的，没有接受激素治疗。用条件Logistic回归分析雌激素、雌酮、睾酮和性激素结合球蛋白与ER阳性乳腺癌的关系。我们使用受试者工作特征曲线下面积(AUROC)来评估雌二醇、BCSC风险评分和多基因风险评分的个体和联合鉴别力。在评估的性激素中，未经调整的分析显示，雌二醇(OR 3.64，95%CI 1.64-8.06，顶部与底部四分位数)和雌酮(程度较小)与ER阳性乳腺癌的相关性最强。BCSC风险评分(OR 1.32，95%CI为1.00~1.75)和多基因风险评分(OR 1.58，95%CI为1.06~2.36)也与ER阳性癌症相关。包含BCSC风险评分、多基因风险评分和雌二醇水平的模型对ER阳性癌症显示出良好的区分性(AUROC 0.72，95%CI 0.65-0.79)，比BCSC风险评分(AUROC 0.58，95%CI 0.50-0.65)有显著改善。在临床风险模型中加入雌二醇和多基因风险评分可改善绝经后ER阳性乳腺癌的辨别能力。
Models that predict the risk of estrogen receptor (ER)-positive breast cancers may improve our ability to target chemoprevention. We investigated the contributions of sex hormones to the discrimination of the Breast Cancer Surveillance Consortium (BCSC) risk model and a polygenic risk score comprised of 83 single nucleotide polymorphisms. We conducted a nested case-control study of 110 women with ER-positive breast cancers and 214 matched controls within a mammography screening cohort. Participants were postmenopausal and not on hormonal therapy. The associations of estradiol, estrone, testosterone, and sex hormone binding globulin with ER-positive breast cancer were evaluated using conditional logistic regression. We assessed the individual and combined discrimination of estradiol, the BCSC risk score, and polygenic risk score using the area under the receiver operating characteristic curve (AUROC). Of the sex hormones assessed, estradiol (OR 3.64, 95% CI 1.64–8.06 for top vs bottom quartile), and to a lesser degree estrone, was most strongly associated with ER-positive breast cancer in unadjusted analysis. The BCSC risk score (OR 1.32, 95% CI 1.00–1.75 per 1% increase) and polygenic risk score (OR 1.58, 95% CI 1.06–2.36 per standard deviation) were also associated with ER-positive cancers. A model containing the BCSC risk score, polygenic risk score, and estradiol levels showed good discrimination for ER-positive cancers (AUROC 0.72, 95% CI 0.65–0.79), representing a significant improvement over the BCSC risk score (AUROC 0.58, 95% CI 0.50–0.65). Adding estradiol and a polygenic risk score to a clinical risk model improves discrimination for postmenopausal ER-positive breast cancers.
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影响因子：
28.4
作者：
Neuhouser, Marian L.;Aragaki, Aaron K.;Prentice, Ross L.;Manson, JoAnn E.;Chlebowski, Rowan;Carty, Cara L.;Ochs-Balcom, Heather M.;Thomson, Cynthia A.;Caan, Bette J.;Tinker, Lesley F.;Urrutia, Rachel Peragallo;Knudtson, Jennifer;Anderson, Garnet L.
通讯作者：
Anderson, Garnet L.
影响因子：
3.8
作者：
Cummings, SR;Lee, JS;Cauleys, JA
通讯作者：
Cauleys, JA
影响因子：
10.3
作者：
Missmer, SA;Eliassen, AH;Hankinson, SE
通讯作者：
Hankinson, SE
影响因子：
30.8
作者：
Michailidou K;Beesley J;Lindstrom S;Canisius S;Dennis J;Lush MJ;Maranian MJ;Bolla MK;Wang Q;Shah M;Perkins BJ;Czene K;Eriksson M;Darabi H;Brand JS;Bojesen SE;Nordestgaard BG;Flyger H;Nielsen SF;Rahman N;Turnbull C;BOCS;Fletcher O;Peto J;Gibson L;dos-Santos-Silva I;Chang-Claude J;Flesch-Janys D;Rudolph A;Eilber U;Behrens S;Nevanlinna H;Muranen TA;Aittomäki K;Blomqvist C;Khan S;Aaltonen K;Ahsan H;Kibriya MG;Whittemore AS;John EM;Malone KE;Gammon MD;Santella RM;Ursin G;Makalic E;Schmidt DF;Casey G;Hunter DJ;Gapstur SM;Gaudet MM;Diver WR;Haiman CA;Schumacher F;Henderson BE;Le Marchand L;Berg CD;Chanock SJ;Figueroa J;Hoover RN;Lambrechts D;Neven P;Wildiers H;van Limbergen E;Schmidt MK;Broeks A;Verhoef S;Cornelissen S;Couch FJ;Olson JE;Hallberg E;Vachon C;Waisfisz Q;Meijers-Heijboer H;Adank MA;van der Luijt RB;Li J;Liu J;Humphreys K;Kang D;Choi JY;Park SK;Yoo KY;Matsuo K;Ito H;Iwata H;Tajima K;Guénel P;Truong T;Mulot C;Sanchez M;Burwinkel B;Marme F;Surowy H;Sohn C;Wu AH;Tseng CC;Van Den Berg D;Stram DO;González-Neira A;Benitez J;Zamora MP;Perez JI;Shu XO;Lu W;Gao YT;Cai H;Cox A;Cross SS;Reed MW;Andrulis IL;Knight JA;Glendon G;Mulligan AM;Sawyer EJ;Tomlinson I;Kerin MJ;Miller N;kConFab Investigators;AOCS Group;Lindblom A;Margolin S;Teo SH;Yip CH;Taib NA;Tan GH;Hooning MJ;Hollestelle A;Martens JW;Collée JM;Blot W;Signorello LB;Cai Q;Hopper JL;Southey MC;Tsimiklis H;Apicella C;Shen CY;Hsiung CN;Wu PE;Hou MF;Kristensen VN;Nord S;Alnaes GI;NBCS;Giles GG;Milne RL;McLean C;Canzian F;Trichopoulos D;Peeters P;Lund E;Sund M;Khaw KT;Gunter MJ;Palli D;Mortensen LM;Dossus L;Huerta JM;Meindl A;Schmutzler RK;Sutter C;Yang R;Muir K;Lophatananon A;Stewart-Brown S;Siriwanarangsan P;Hartman M;Miao H;Chia KS;Chan CW;Fasching PA;Hein A;Beckmann MW;Haeberle L;Brenner H;Dieffenbach AK;Arndt V;Stegmaier C;Ashworth A;Orr N;Schoemaker MJ;Swerdlow AJ;Brinton L;Garcia-Closas M;Zheng W;Halverson SL;Shrubsole M;Long J;Goldberg MS;Labrèche F;Dumont M;Winqvist R;Pylkäs K;Jukkola-Vuorinen A;Grip M;Brauch H;Hamann U;Brüning T;GENICA Network;Radice P;Peterlongo P;Manoukian S;Bernard L;Bogdanova NV;Dörk T;Mannermaa A;Kataja V;Kosma VM;Hartikainen JM;Devilee P;Tollenaar RA;Seynaeve C;Van Asperen CJ;Jakubowska A;Lubinski J;Jaworska K;Huzarski T;Sangrajrang S;Gaborieau V;Brennan P;McKay J;Slager S;Toland AE;Ambrosone CB;Yannoukakos D;Kabisch M;Torres D;Neuhausen SL;Anton-Culver H;Luccarini C;Baynes C;Ahmed S;Healey CS;Tessier DC;Vincent D;Bacot F;Pita G;Alonso MR;Álvarez N;Herrero D;Simard J;Pharoah PP;Kraft P;Dunning AM;Chenevix-Trench G;Hall P;Easton DF
通讯作者：
Easton DF
影响因子：
2
作者：
Pepe, Margaret Sullivan;Kerr, Kathleen F.;Longton, Gary;Wang, Zheyu
通讯作者：
Wang, Zheyu