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Sub-classification of patients with intermediate-risk metastatic renal cell carcinoma treated with targeted therapy

  • Go Kaneko
  • , Suguru Shirotake
  • , Koshiro Nishimoto
  • , Yasumasa Miyazaki
  • , Keiichi Ito
  • , Yujiro Ito
  • , Masayuki Hagiwara
  • , Kent Kanao
  • , Ken Nakagawa
  • , Tetsuo Momma
  • , Tomohiko Asano
  • , Nobuyuki Tanaka
  • , Ryuichi Mizuno
  • , Mototsugu Oya
  • , Masafumi Oyama

研究成果: ジャーナルへの寄稿学術論文査読

抄録

Background: International Metastatic Renal Cell Carcinoma Database Consortium model predicts the outcomes of metastatic renal cell carcinoma stratified into favorable, intermediate, and poor risk groups (FG, IG, and PG, respectively), with approximately 50% of patients being classified as IG. We aimed to generate better risk model based on the sub-classification of IG. Methods: We analyzed records of 213 consecutive patients receiving molecular targeted therapy. Age, gender, histology, type of initial molecular targeted therapy, serum laboratory data, previous nephrectomy and immunotherapy, and metastatic sites were used for IG sub-stratification. Modified and original models were compared using a concordance correlation coefficient analysis. Results: Median follow-up was 17.8 months. Serum albumin, serum C-reactive protein, and bone metastases were independent predictors of overall survival (OS) in IG. IG was sub-classified into low-, middle-, and high-risk IG according to the number of predictors. The following modified model was developed: modified FG (FG & low-risk IG), modified IG (middle-risk IG), and modified PG (PG & high-risk IG). Concordance indices for original and modified models were 0.68 and 0.73, respectively (P < 0.001). OS was significantly longer in modified PG treated with mammalian target of rapamycin inhibitors as second-line therapy than with tyrosine kinase inhibitors, whereas this was not observed in the original model. Conclusions: We successfully developed modified IMDC model using a two-step process: the original IMDC plus an IG sub-stratification, and demonstrated that it predicts outcomes more accurately than original model.

本文言語英語
ページ(範囲)780-785
ページ数6
ジャーナルJapanese journal of clinical oncology
49
8
DOI
出版ステータス出版済み - 01-08-2019
外部発表はい

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

  1. SDG 3 - すべての人に健康と福祉を
    SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

  • 腫瘍学
  • 放射線学、核医学およびイメージング
  • 癌研究

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