Literature DB >> 24219029

A nomogram including baseline prognostic factors to estimate the activity of second-line therapy for advanced urothelial carcinoma.

Gregory R Pond1, Neeraj Agarwal, Joaquim Bellmunt, Toni K Choueiri, Angela Qu, Ronan Fougeray, David Vaughn, Nicholas D James, Yacine Salhi, Peter Albers, Günter Niegisch, Matthew D Galsky, Yu-Ning Wong, Yoo-Joung Ko, Walter M Stadler, Peter H O'Donnell, Srikala S Sridhar, Nicholas J Vogelzang, Andrea Necchi, Giuseppe Di Lorenzo, Cora N Sternberg, Amitkumar Mehta, Guru Sonpavde.   

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.
© 2013 The Authors. BJU International © 2013 BJU International.

Entities:  

Keywords:  advanced urothelial cancer; nomogram; progression-free survival at 6 months; response rate; second-line therapy

Mesh:

Year:  2014        PMID: 24219029     DOI: 10.1111/bju.12564

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  12 in total

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Authors:  Richard M Bambury; David J Benjamin; Joshua L Chaim; Emily C Zabor; John Sullivan; Ilana R Garcia-Grossman; Ashley M Regazzi; Irina Ostrovnaya; Aryln Apollo; Han Xiao; Martin H Voss; Gopa Iyer; Dean F Bajorin; Jonathan E Rosenberg
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2.  Validation of major prognostic models for metastatic urothelial carcinoma using a multi-institutional cohort of the real world.

Authors:  Satoru Taguchi; Tohru Nakagawa; Yukari Uemura; Akihiko Matsumoto; Yasushi Nagase; Taketo Kawai; Yoshinori Tanaka; Kanae Yoshida; Sachi Yamamoto; Yutaka Enomoto; Yorito Nose; Toshikazu Sato; Akira Ishikawa; Tetsuya Fujimura; Hiroshi Fukuhara; Haruki Kume; Yukio Homma
Journal:  World J Urol       Date:  2015-07-02       Impact factor: 4.226

3.  Conditional Survival in de novo Metastatic Urothelial Carcinoma.

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4.  Metastasectomy in older adults with urothelial carcinoma: Population-based analysis of use and outcomes.

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Journal:  Med Oncol       Date:  2018-05-08       Impact factor: 3.064

9.  Vinflunine treatment in patients with metastatic urothelial cancer: A Nordic retrospective multicenter analysis.

Authors:  Karin Holmsten; Line Dohn; Niels Viggo Jensen; Carl-Henrik Shah; Fredrik Jäderling; Helle Pappot; Anders Ullén
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10.  Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma.

Authors:  Hui-Ching Lau; Yujie Shen; Qiang Huang; Hui-Ying Huang; Liang Zhou
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

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