Integration of Recurrent Somatic Mutations with Clinical Outcomes: A Pooled Analysis of 1049 Patients with Clear Cell Renal Cell Carcinoma.
Integration of Recurrent Somatic Mutations with Clinical Outcomes: A Pooled Analysis of 1049 Patients with Clear Cell Renal Cell Carcinoma.
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DOI:
10.1016/j.euf.2016.06.015
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发表时间:
2017-10
影响因子:
5.4
通讯作者:
Hakimi AA
中科院分区:
文献类型:
--
作者:
Manley BJ;Zabor EC;Casuscelli J;Tennenbaum DM;Redzematovic A;Becerra MF;Benfante N;Sato Y;Morikawa T;Kume H;Fukayama M;Homma Y;Ogawa S;Arcila ME;Voss MH;Feldman DR;Coleman JA;Reuter VE;Motzer RJ;Russo P;Hsieh JJ;Hakimi AA
Analyses of associations between clinicopathologic outcomes and recurrent somatic mutations in clear cell renal cell carcinoma (ccRCC) have been limited to individual cohorts. To define clinicopathologic associations between specific mutations and ccRCC disease characteristics. DNA sequencing data were pooled from three collaborative genomic cohorts (n = 754) and our institutional database (n = 295). All patients had clinical data and identification of somatic mutations from their primary tumors. Analysis of gene mutations for associations with maximal tumor size (linear regression) and pathologic stage (logistic regression). Cancer-specific survival (CSS) and recurrence-free survival (RFS) were calculated using competing risks methods. Analyses were adjusted for cohort site, and results were adjusted for multiple testing (q value). Relevant genes were used in multivariable models that included confounding variables and the validated Mayo Clinic Stage, Size, Grade, and Necrosis (SSIGN) score. Association with tumor size was found for mutations in BAP1 (q = 0.013). No mutations were found to be associated with stage after adjusted analysis. Mutations in BAP1 (q = 0.004) and TP53 (q = 0.001) were associated with decreased CSS in a multivariable model; only TP53 (q = 0.005) remained significant when SSIGN score was included. SETD2 mutations (q = 0.047) were associated with decreased RFS in multivariable models, including models with SSIGN score. In >1000 patients with ccRCC, pooled analysis and multivariable modeling demonstrated that three mutated genes have statistically significant associations with poor clinical outcomes. This included the more commonly mutated BAP1 and SETD2 and the less frequently mutated TP53. After adjustment for clinical confounders, mutations of TP53 and SETD2 were associated with decreased CSS and RFS, respectively. Using rigorous statistical methods, this study affirmed that certain mutations in clear cell renal cell carcinomamay portend inferior survival and an increased risk of recurrence.
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DOI:
10.1016/j.juro.2015.07.113
发表时间:
2016-01
期刊:
The Journal of urology
影响因子:
--
作者:
Joseph RW;Kapur P;Serie DJ;Parasramka M;Ho TH;Cheville JC;Frenkel E;Parker AS;Brugarolas J
通讯作者:
Brugarolas J
影响因子:
11.2
作者:
Ventii KH;Devi NS;Friedrich KL;Chernova TA;Tighiouart M;Van Meir EG;Wilkinson KD
通讯作者:
Wilkinson KD
DOI:
10.1158/1078-0432.ccr-12-3886
发表时间:
2013-06-15
期刊:
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子:
--
作者:
Hakimi AA;Ostrovnaya I;Reva B;Schultz N;Chen YB;Gonen M;Liu H;Takeda S;Voss MH;Tickoo SK;Reuter VE;Russo P;Cheng EH;Sander C;Motzer RJ;Hsieh JJ;ccRCC Cancer Genome Atlas (KIRC TCGA) Research Network investigators
通讯作者:
ccRCC Cancer Genome Atlas (KIRC TCGA) Research Network investigators
影响因子:
6.6
作者:
Hakimi, A. Ari;Mano, Roy;Ciriello, Giovanni;Gonen, Mithat;Mikkilineni, Nina;Sfakianos, John P.;Kim, Philip H.;Motzer, Robert J.;Russo, Paul;Reuter, Victor E.;Hsieh, James J.;Ostrovnaya, Irina
通讯作者:
Ostrovnaya, Irina
影响因子:
30.8
作者:
Pena-LlopiS, Samuel;Vega-Rubin-de-Celis, Silvia;Liao, Arnold;Leng, Nan;Pavia-Jimenez, Andrea;Wang, Shanshan;Yamasaki, Toshinari;Zhrebker, Leah;Sivanand, Sharanya;Spence, Patrick;Kinch, Lisa;Hambuch, Tina;Jain, Suneer;Lotan, Yair;Margulis, Vitaly;Sagalowsky, Arthur I.;Summerour, Pia Banerji;Kabbani, Wareef;Wong, S. W. Wendy;Grishin, Nick;Laurent, Marc;Xie, Xian-Jin;Haudenschild, Christian D.;Ross, Mark T.;Bentley, David R.;Kapur, Payal;Brugarolas, James
通讯作者:
Brugarolas, James