STAT3 polymorphism predicts interferon-alfa response in patients with metastatic renal cell carcinoma

被引:82
作者
Ito, Noriyuki
Eto, Masatoshi
Nakamura, Eijiro
Takahashi, Atsushi
Tsukamoto, Taiji
Toma, Hiroshi
Nakazawa, Hayakazu
Hirao, Yoshihiko
Uemura, Hirotsugu
Kagawa, Susumu
Kanayama, Hiroomi
Nose, Yoshiaki
Kinukawa, Naoko
Nakamura, Tsuyoshi
Jinnai, Nobuyoshi
Seki, Toyokazu
Takamatsu, Masanobu
Masui, Yoshihiro
Naito, Seiji
Ogawa, Osamu
机构
[1] Kyushu Univ, Grad Sch Med Sci, Dept Med Informat, Fukuoka 812, Japan
[2] Kyoto Univ, Dept Urol, Grad Sch Med, Sakyo Ku, Kyoto 6068507, Japan
[3] Sapporo Med Univ, Sch Med, Dept Urol Surg & Androl, Hokkaido, Japan
[4] Tokyo Womens Med Univ, Dept Urol, Tokyo, Japan
[5] Tokyo Womens Med Univ, Med Ctr E, Tokyo, Japan
[6] Otsuka Pharmaceut Co Ltd, Therapeut Applicat Dev Dept, Gastroenterol Oncol Grp, Tokyo, Japan
[7] Nara Med Univ, Dept Urol, Nara, Japan
[8] Kinki Univ, Sch Med, Dept Urol, Osaka 589, Japan
[9] Tokushima Univ Hosp, Natl Univ Corp, Tokushima, Japan
[10] Univ Tokushima, Dept Urol, Fac Med, Tokushima 770, Japan
[11] Otsuka Pharmaceut Co Ltd, Theranost Res Ctr, Tokushima 77101, Japan
[12] Nagasaki Univ, Fac Environm Studies, Nagasaki 852, Japan
关键词
D O I
10.1200/JCO.2006.09.8897
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose To clarify the effect of genetic polymorphisms on the response to interferon alfa (IFN-alpha) for metastatic renal cell carcinoma (MRCC), and to find a reliable molecular marker to select those patients with MRCC who would benefit from IFN-alpha immunotherapy. Patients and Methods We carried out an association study in which 463 single nucleotide polymorphisms (SNPs) in 33 candidate genes were genotyped in 75 Japanese patients who had received IFN-alpha for MRCC. Results After adjusting for lung metastasis, stepwise logistic regression analysis revealed that the SNPs in signal transducer and activator 3 (STAT3) were most significantly associated with better response to IFN-alpha. Linkage disequilibrium mapping revealed that the SNP in the 5' region of STAT3, rs4796793, was the most significant predictor of IFN-alpha response (odds ratio [OR] = 2.73; 95% CI, 1.38 to 5.78). The highest OR was shown in the CC genotype at rs4796793 compared to the GG + GC genotypes (OR = 8.38, 95% CI, 1.63 to 42.96). Genotype-dependent expressions of STAT3 in B lymphocyte cell lines and the enhanced growth inhibitory effects of IFN-alpha by STAT3 suppression in an RCC cell line supported the results of the present association study. Conclusion The present study suggested that the STAT3 polymorphism is a useful diagnostic marker to predict the response to IFN-alpha therapy in patients with MRCC. An efficient response marker for IFN-alpha needs to be utilized to establish individual optimal treatment strategies, even when newer drug therapies are used as first line treatments for MRCC.
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页码:2785 / 2791
页数:7
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