A nomogram including baseline prognostic factors to estimate the activity of second-line therapy for advanced urothelial carcinoma Academic Article uri icon

  •  
  • Overview
  •  
  • Research
  •  
  • Identity
  •  
  • Additional Document Info
  •  
  • View All
  •  

abstract

  • OBJECTIVE: To study the impact of the prognostic factors liver metastasis (LM), anaemia (haemoglobin [Hb] <10 g/dL), Eastern Cooperative Oncology Group performance status (ECOG-PS) ≥1 and time from previous chemotherapy (TFPC) on the activity of second-line therapy for advanced urothelial carcinoma (UC). PATIENTS AND METHODS: Twelve phase II trials evaluating second-line chemotherapy and/or biological characteristics (n = 748) in patients with progressive disease were pooled. Progression-free survival (PFS) was defined as tumour progression or death from any cause. The PFS rate at 6 months (PFS6) was defined from the date of registration and calculated using the Kaplan-Meier method. Response rate (RR) was defined using Response Evaluation Criteria in Solid Tumours (RECIST) 1.0. A nomogram predicting PFS6 was constructed using the rms software package in R (http://www.r-project.org). RESULTS: Data regarding progression, anaemia, LM, ECOG-PS and TFPC were available from 570 patients in nine phase II trials. The overall median PFS was 2.7 months, PFS6 was 22.2% (95% confidence interval 18.8-25.9) and the RR was 17.5% (95% CI: 14.5-20.9%). For every unit increase in risk group, the hazard of progression in 6 months increased by 41% and the odds of response decreased by 48%. A nomogram was constructed to predict PFS6 on an individual patient level. The model was internally validated and was shown to have acceptable calibration performance. CONCLUSIONS: The RR and PFS6 vary as a function of baseline prognostic factors in patients receiving second-line therapy for advanced UC. A nomogram incorporating prognostic factors facilitates the evaluation of outcomes across phase II trials enrolling heterogeneous populations and helps select suitable agents for phase III testing.

authors

  • Pond, Gregory
  • Agarwal, Neeraj
  • Bellmunt, Joaquim
  • Choueiri, Toni K
  • Qu, Angela
  • Fougeray, Ronan
  • Vaughn, David
  • James, Nicholas D
  • Salhi, Yacine
  • Albers, Peter
  • Niegisch, Günter
  • Galsky, Matthew D
  • Wong, Yu-Ning
  • Ko, Yoo-Joung
  • Stadler, Walter M
  • O'Donnell, Peter H
  • Sridhar, Srikala S
  • Vogelzang, Nicholas J
  • Necchi, Andrea
  • Di Lorenzo, Giuseppe
  • Sternberg, Cora N
  • Mehta, Amitkumar
  • Sonpavde, Guru

publication date

  • May 2014