A Multigene Assay Identifying Distinct Prognostic Subtypes of Clear Cell Renal Cell Carcinoma with Differential Response to Tyrosine Kinase Inhibition

被引:25
作者
Choudhury, Yukti [1 ]
Wei, Xiaona [1 ]
Chu, Ying-Hsia [1 ,2 ]
Ng, Lay Guat [3 ]
Tan, Hui Shan [4 ]
Koh, Valerie [3 ]
Thike, Aye Aye [3 ]
Poon, Eileen [4 ]
Ng, Quan Sing [4 ]
Toh, Chee Keong [4 ]
Kanesvaran, Ravindran [4 ]
Tan, Puay Hoon [3 ]
Tan, Min-Han [1 ,4 ]
机构
[1] Inst Bioengn & Biotechnol, Singapore 138669, Singapore
[2] Natl Taiwan Univ, Taipei, Taiwan
[3] Singapore Gen Hosp, Singapore, Singapore
[4] Natl Canc Ctr Singapore, Singapore, Singapore
关键词
Clear cell renal cell carcinoma; Drug response; Metastasis; Prognosis; Prediction; Subtype; Tyrosine kinase inhibitors;
D O I
10.1016/j.eururo.2014.06.041
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Patients with clear cell renal cell carcinoma (ccRCC) have divergent survival outcomes and therapeutic responses, which may be determined by underlying molecular diversity. We aimed to develop a practical molecular assay that can identify subtypes with differential prognosis and response to targeted therapy. Whole-genome expression analysis of formalin-fixed paraffin-embedded (FFPE) material from 55 ccRCC patients was performed and two molecular subtypes with differential clinical outcomes were identified by hierarchical clustering. An eight-gene quantitative polymerase chain reaction assay for classification into two subtypes was developed for FFPE material. The primary objective was to assess assay performance by correlating ccRCC prognostic subtypes to cancer-specific survival (CSS) and, for patients receiving targeted therapy, radiologic response. In three validation cohorts, patients could be distinguished into prognostic subtypes with differential CSS (Singapore General Hospital FFPE cohort: n = 224; p = 1.48 x 10(-8); the Cancer Genome Atlas RNA-Sequencing cohort: n = 419; p = 3.06 x 10(-7); Van Andel Research Institute microarray cohort: n = 174; p = 0.00743). For 48 patients receiving tyrosine kinase inhibitor (TKI) treatment, the prognostic classification was associated with radiologic response to treatment (p = 5.96 x 10(-4)) and prolonged survival on TKI treatment (p = 0.019). The multigene assay can classify ccRCCs into clinical prognostic subtypes, which may be predictive of response in patients receiving TKI therapy. (C) 2014 European Association of Urology. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:17 / 20
页数:4
相关论文
共 10 条
  • [1] Renal-cell carcinoma - Molecular pathways and therapies
    Brugarolas, James
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2007, 356 (02) : 185 - 187
  • [2] Comprehensivemolecular characterization of clear cell renal cell carcinoma
    Creighton, Chad J.
    Morgan, Margaret
    Gunaratne, Preethi H.
    Wheeler, David A.
    Gibbs, Richard A.
    Robertson, A. Gordon
    Chu, Andy
    Beroukhim, Rameen
    Cibulskis, Kristian
    Signoretti, Sabina
    Vandin, Fabio
    Wu, Hsin-Ta
    Raphael, Benjamin J.
    Verhaak, Roel G. W.
    Tamboli, Pheroze
    Torres-Garcia, Wandaliz
    Akbani, Rehan
    Weinstein, John N.
    Reuter, Victor
    Hsieh, James J.
    Brannon, A. Rose
    Hakimi, A. Ari
    Jacobsen, Anders
    Ciriello, Giovanni
    Reva, Boris
    Ricketts, Christopher J.
    Linehan, W. Marston
    Stuart, Joshua M.
    Rathmell, W. Kimryn
    Shen, Hui
    Laird, Peter W.
    Muzny, Donna
    Davis, Caleb
    Morgan, Margaret
    Xi, Liu
    Chang, Kyle
    Kakkar, Nipun
    Trevino, Lisa R.
    Benton, Susan
    Reid, Jeffrey G.
    Morton, Donna
    Doddapaneni, Harsha
    Han, Yi
    Lewis, Lora
    Dinh, Huyen
    Kovar, Christie
    Zhu, Yiming
    Santibanez, Jireh
    Wang, Min
    Hale, Walker
    [J]. NATURE, 2013, 499 (7456) : 43 - +
  • [3] Diagnostic and Prognostic Molecular Markers for Renal Cell Carcinoma: A Critical Appraisal of the Current State of Research and Clinical Applicability
    Eichelberg, Christian
    Junker, Kerstin
    Ljungberg, Borje
    Moch, Holger
    [J]. EUROPEAN UROLOGY, 2009, 55 (04) : 851 - 863
  • [4] An outcome prediction model for patients with clear cell renal cell carcinoma treated with radical nephrectomy based on tumor stage, size, grade and necrosis: The SSIGN score
    Frank, I
    Blute, ML
    Cheville, JC
    Lohse, CM
    Weaver, AL
    Zincke, H
    [J]. JOURNAL OF UROLOGY, 2002, 168 (06) : 2395 - 2400
  • [5] A systematic review of predictive and prognostic biomarkers for VEGF-targeted therapy in renal cell carcinoma
    Funakoshi, Tomohiro
    Lee, Chung-Han
    Hsieh, James J.
    [J]. CANCER TREATMENT REVIEWS, 2014, 40 (04) : 533 - 547
  • [6] Epidemiologic and socioeconomic burden of metastatic renal cell carcinoma (mRCC): A literature review
    Gupta, Kiran
    Miller, Jeffrey D.
    Li, Jim Z.
    Russel, Mason W.
    Charbonneau, Claudie
    [J]. CANCER TREATMENT REVIEWS, 2008, 34 (03) : 193 - 205
  • [7] Motzer RJ, 2002, J CLIN ONCOL, V20, P289, DOI 10.1200/JCO.2002.20.1.289
  • [8] Targeting Renal Cell Carcinoma
    Motzer, Robert J.
    Molina, Ana M.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2009, 27 (20) : 3274 - 3276
  • [9] Integrated molecular analysis of clear-cell renal cell carcinoma
    Sato, Yusuke
    Yoshizato, Tetsuichi
    Shiraishi, Yuichi
    Maekawa, Shigekatsu
    Okuno, Yusuke
    Kamura, Takumi
    Shimamura, Teppei
    Sato-Otsubo, Aiko
    Nagae, Genta
    Suzuki, Hiromichi
    Nagata, Yasunobu
    Yoshida, Kenichi
    Kon, Ayana
    Suzuki, Yutaka
    Chiba, Kenichi
    Tanaka, Hiroko
    Niida, Atsushi
    Fujimoto, Akihiro
    Tsunoda, Tatsuhiko
    Morikawa, Teppei
    Maeda, Daichi
    Kume, Haruki
    Sugano, Sumio
    Fukayama, Masashi
    Aburatani, Hiroyuki
    Sanada, Masashi
    Miyano, Satoru
    Homma, Yukio
    Ogawa, Seishi
    [J]. NATURE GENETICS, 2013, 45 (08) : 860 - U191
  • [10] Gene expression profiling of clear cell renal cell carcinoma: Gene identification and prognostic classification
    Takahashi, M
    Rhodes, DR
    Furge, KA
    Kanayamat, H
    Kagawa, S
    Haab, BB
    Teh, BT
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (17) : 9754 - 9759