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A Growth Modulation Index-Based GEISTRA Score as a New Prognostic Tool for Trabectedin Efficacy in Patients with Advanced Soft Tissue Sarcomas: A Spanish Group for Sarcoma Research (GEIS) Retrospective Study

Authors :
Javier Martínez-Trufero
Luis Miguel De Sande-González
Pablo Luna
Javier Martin-Broto
Rosa Álvarez
Gloria Marquina
Roberto Diaz-Beveridge
Andrés Poveda
Juana María Cano
Josefina Cruz-Jurado
Antonio López Pousa
María Angeles Vaz Salgado
Claudia M. Valverde-Morales
Isabel Sevilla
Jerónimo Martínez-García
Jordi Rubio-Casadevall
Ana De Juan
Juan Antonio Carrasco
David S Moura
Ibon Gurruchaga-Sotes
Antonio Gutiérrez
Source :
Cancers, Vol 13, Iss 4, p 792 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

The aim of this study was to identify an easily reliable prognostic score that selects the subset of advanced soft tissue sarcoma (ASTS) patients with a higher benefit with trabectedin in terms of time to progression and overall survival. A retrospective series of 357 patients with ASTS treated with trabectedin as second- or further-line in 19 centers across Spain was analyzed. First, it was confirmed that patients with high growth modulation index (GMI > 1.33) were associated with the better clinical outcome. Univariate and multivariate analyses were performed to identify factors associated with a GMI > 1.33. Thus, GEISTRA score was based on metastasis free-interval (MFI ≤ 9.7 months), Karnofsky < 80%, Non L-sarcomas and better response in the previous systemic line. The median GMI was 0.82 (0–69), with 198 patients (55%) with a GMI < 1, 41 (11.5%) with a GMI 1–1.33 and 118 (33.1%) with a GMI > 1.33. The lowest GEISTRA score showed a median of time-to-progression (TTP) and overall survival (OS) of 5.7 and 19.5 months, respectively, whereas it was 1.8 and 3.1 months for TTP and OS, respectively, for the GEISTRA 4 score. This prognostic tool can contribute to better selecting candidates for trabectedin treatment in ASTS.

Details

Language :
English
ISSN :
20726694
Volume :
13
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
edsdoj.658332108b24418cb7586c389f4b2e0a
Document Type :
article
Full Text :
https://doi.org/10.3390/cancers13040792