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Nomogram-based prediction of overall survival in patients with metastatic urothelial carcinoma receiving first-line platinum-based chemotherapy: retrospective international study of invasive/advanced cancer of the urothelium (RISC)

Nomogram-based prediction of overall survival in patients with metastatic urothelial carcinoma receiving first-line platinum-based chemotherapy: retrospective international study of invasive/advanced cancer of the urothelium (RISC)
Nomogram-based prediction of overall survival in patients with metastatic urothelial carcinoma receiving first-line platinum-based chemotherapy: retrospective international study of invasive/advanced cancer of the urothelium (RISC)
Background: The available prognostic models for overall survival (OS) in patients with metastatic urothelial carcinoma (UC) have been derived from clinical trial populations of cisplatin-treated patients.

Objective: To develop a new model based on real-world patients.

Design, setting, and participants: Individual patient-level data from 29 centers were collected, including metastatic UC and first-line cisplatin- or carboplatin-based chemotherapy administered between January 2006 and January 2011.

Intervention: First-line, platinum-based, combination chemotherapy.

Outcome measurements and statistical analysis: The population was randomly split into a development and a validation cohort. Generalized boosted regression modelling was used to screen out irrelevant variables and address multivariable analyses. Two nomograms were built to estimate OS probability, the first based on baseline factors and platinum agent, the second incorporating objective response (OR). The performance of the above nomograms and that of other available models was assessed. We plotted decision curves to evaluate the clinical usefulness of the two nomograms.

Results and limitations: A total of 1020 patients were analyzed (development: 687, validation: 333). In a platinum-stratified Cox model, significant variables for OS were performance status (p < 0.001), white blood cell count (p = 0.013), body mass index (p = 0.003), ethnicity (p = 0.012), lung, liver, or bone metastases (p < 0.001), and prior perioperative chemotherapy (p = 0.012). The c-index was 0.660. The distribution of the nomogram scores was associated with OR (p < 0.001), and incorporating OR into the model further improved the c-index in the validation cohort (0.670).

Conclusions: We developed and validated two nomograms for OS to be used before and after completion of first-line chemotherapy for metastatic UC.
Patient summary

We proposed two models for estimating overall survival of patients with metastatic urothelial carcinoma receiving first-line, platinum-based chemotherapy. These nomograms have been developed on real-world patients who were treated outside of clinical trials and may be used irrespective of the chemotherapeutic platinum agent used.
0302-2838
1-9
Necchi, Andrea
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Sonpavde, Guru
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Lo Vullo, Salvatore
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Crabb, Simon J.
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De Giorgi, Ugo
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Sternberg, Cora N.
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Cerbone, Linda
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Ladoire, Sylvain
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Wong, Yu-Ning
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Yu, Evan Y.
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Chowdhury, Simon
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Niegisch, Gunter
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Srinivas, Sandy
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Vaishampayan, Ulka N.
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Pal, Sumanta K.
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Agarwal, Neeraj
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Alva, Ajjai
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Baniel, Jack
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Golshayan, Ali-Reza
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Morales-Barrera, Rafael
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Bowles, Daniel W.
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Milowsky, Matthew I.
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Berthold, Dominik R.
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Daugaard, Gedske
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Sridhar, Srikala S.
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Powles, Thomas
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Galsky, Matthew D.
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Mariani, Luigi
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Necchi, Andrea
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Sonpavde, Guru
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Lo Vullo, Salvatore
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Giardiello, Daniele
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Bamias, Aristotelis
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Crabb, Simon J.
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Harshman, Lauren C.
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Sternberg, Cora N.
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Chowdhury, Simon
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Niegisch, Gunter
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Srinivas, Sandy
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Vaishampayan, Ulka N.
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Pal, Sumanta K.
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Golshayan, Ali-Reza
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Sridhar, Srikala S.
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Powles, Thomas
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Rosenberg, Jonathan E.
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Galsky, Matthew D.
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Necchi, Andrea, Sonpavde, Guru, Lo Vullo, Salvatore, Giardiello, Daniele, Bamias, Aristotelis, Crabb, Simon J., Harshman, Lauren C., Bellmunt, Joaquim, De Giorgi, Ugo, Sternberg, Cora N., Cerbone, Linda, Ladoire, Sylvain, Wong, Yu-Ning, Yu, Evan Y., Chowdhury, Simon, Niegisch, Gunter, Srinivas, Sandy, Vaishampayan, Ulka N., Pal, Sumanta K., Agarwal, Neeraj, Alva, Ajjai, Baniel, Jack, Golshayan, Ali-Reza, Morales-Barrera, Rafael, Bowles, Daniel W., Milowsky, Matthew I., Theodore, Christine, Berthold, Dominik R., Daugaard, Gedske, Sridhar, Srikala S., Powles, Thomas, Rosenberg, Jonathan E., Galsky, Matthew D. and Mariani, Luigi (2017) Nomogram-based prediction of overall survival in patients with metastatic urothelial carcinoma receiving first-line platinum-based chemotherapy: retrospective international study of invasive/advanced cancer of the urothelium (RISC). European Urology, 35 (1), 1-9. (doi:10.1016/j.eururo.2016.09.042). (PMID:27726966)

Record type: Article

Abstract

Background: The available prognostic models for overall survival (OS) in patients with metastatic urothelial carcinoma (UC) have been derived from clinical trial populations of cisplatin-treated patients.

Objective: To develop a new model based on real-world patients.

Design, setting, and participants: Individual patient-level data from 29 centers were collected, including metastatic UC and first-line cisplatin- or carboplatin-based chemotherapy administered between January 2006 and January 2011.

Intervention: First-line, platinum-based, combination chemotherapy.

Outcome measurements and statistical analysis: The population was randomly split into a development and a validation cohort. Generalized boosted regression modelling was used to screen out irrelevant variables and address multivariable analyses. Two nomograms were built to estimate OS probability, the first based on baseline factors and platinum agent, the second incorporating objective response (OR). The performance of the above nomograms and that of other available models was assessed. We plotted decision curves to evaluate the clinical usefulness of the two nomograms.

Results and limitations: A total of 1020 patients were analyzed (development: 687, validation: 333). In a platinum-stratified Cox model, significant variables for OS were performance status (p < 0.001), white blood cell count (p = 0.013), body mass index (p = 0.003), ethnicity (p = 0.012), lung, liver, or bone metastases (p < 0.001), and prior perioperative chemotherapy (p = 0.012). The c-index was 0.660. The distribution of the nomogram scores was associated with OR (p < 0.001), and incorporating OR into the model further improved the c-index in the validation cohort (0.670).

Conclusions: We developed and validated two nomograms for OS to be used before and after completion of first-line chemotherapy for metastatic UC.
Patient summary

We proposed two models for estimating overall survival of patients with metastatic urothelial carcinoma receiving first-line, platinum-based chemotherapy. These nomograms have been developed on real-world patients who were treated outside of clinical trials and may be used irrespective of the chemotherapeutic platinum agent used.

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Accepted/In Press date: 28 September 2016
e-pub ahead of print date: 8 October 2016
Published date: 2017
Organisations: Cancer Sciences

Identifiers

Local EPrints ID: 401626
URI: http://eprints.soton.ac.uk/id/eprint/401626
ISSN: 0302-2838
PURE UUID: 3409ec64-0c09-4bed-ad37-d42b71e2afd7
ORCID for Simon J. Crabb: ORCID iD orcid.org/0000-0003-3521-9064

Catalogue record

Date deposited: 19 Oct 2016 08:18
Last modified: 15 Mar 2024 05:59

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Contributors

Author: Andrea Necchi
Author: Guru Sonpavde
Author: Salvatore Lo Vullo
Author: Daniele Giardiello
Author: Aristotelis Bamias
Author: Simon J. Crabb ORCID iD
Author: Lauren C. Harshman
Author: Joaquim Bellmunt
Author: Ugo De Giorgi
Author: Cora N. Sternberg
Author: Linda Cerbone
Author: Sylvain Ladoire
Author: Yu-Ning Wong
Author: Evan Y. Yu
Author: Simon Chowdhury
Author: Gunter Niegisch
Author: Sandy Srinivas
Author: Ulka N. Vaishampayan
Author: Sumanta K. Pal
Author: Neeraj Agarwal
Author: Ajjai Alva
Author: Jack Baniel
Author: Ali-Reza Golshayan
Author: Rafael Morales-Barrera
Author: Daniel W. Bowles
Author: Matthew I. Milowsky
Author: Christine Theodore
Author: Dominik R. Berthold
Author: Gedske Daugaard
Author: Srikala S. Sridhar
Author: Thomas Powles
Author: Jonathan E. Rosenberg
Author: Matthew D. Galsky
Author: Luigi Mariani

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