TY - JOUR
T1 - A DNA damage repair gene-associated signature predicts responses of patients with advanced soft-tissue sarcoma to treatment with trabectedin
AU - Moura, David S.
AU - Peña-Chilet, María
AU - Cordero Varela, Juan Antonio
AU - Alvarez-Alegret, Ramiro
AU - Agra Pujol, Carolina
AU - Izquierdo, Francisco
AU - Ramos, Rafael
AU - Ortega-Medina, Luis
AU - Martin-Davila, Francisco
AU - Castilla-Ramirez, Carolina
AU - Hernandez-Leon, Carmen Nieves
AU - Romagosa, Cleofe
AU - Vaz Salgado, María Ángeles
AU - Lavernia, Javier
AU - Bagué Rosell, Sílvia
AU - Mayodormo-Aranda, Empar
AU - Vicioso, Luis
AU - Hernández Barceló, José Emilio
AU - Rubio-Casadevall, Jordi
AU - de Juan Ferre, Ana
AU - Fiaño-Valverde, María Concepción
AU - Hindi, Nadia
AU - Lopez-Alvarez, María
AU - Lacerenza, Serena
AU - Dopazo, Joaquín
AU - Gutiérrez, Antonio
AU - Alvarez, Rosa
AU - Valverde, Claudia
AU - Martínez-Trufero, Javier
AU - Martín-Broto, Javier
PY - 2021
Y1 - 2021
N2 - Predictive biomarkers of trabectedin represent an unmet need in advanced soft-tissue sarcomas (STS). DNA damage repair (DDR) genes, involved in homologous recombination or nucleotide excision repair, had been previously described as biomarkers of trabectedin resistance or sensitivity, respectively. The majority of these studies only focused on specific factors (ERCC1, ERCC5, and BRCA1) and did not evaluate several other DDR-related genes that could have a relevant role for trabectedin efficacy. In this retrospective translational study, 118 genes involved in DDR were evaluated to determine, by transcriptomics, a predictive gene signature of trabectedin efficacy. A six-gene predictive signature of trabectedin efficacy was built in a series of 139 tumor samples from patients with advanced STS. Patients in the high-risk gene signature group showed a significantly worse progression-free survival compared with patients in the low-risk group (2.1 vs 6.0 months, respectively). Differential gene expression analysis defined new potential predictive biomarkers of trabectedin sensitivity (PARP3 and CCNH) or resistance (DNAJB11 and PARP1). Our study identified a new gene signature that significantly predicts patients with higher probability to respond to treatment with trabectedin. Targeting some genes of this signature emerges as a potential strategy to enhance trabectedin efficacy.
AB - Predictive biomarkers of trabectedin represent an unmet need in advanced soft-tissue sarcomas (STS). DNA damage repair (DDR) genes, involved in homologous recombination or nucleotide excision repair, had been previously described as biomarkers of trabectedin resistance or sensitivity, respectively. The majority of these studies only focused on specific factors (ERCC1, ERCC5, and BRCA1) and did not evaluate several other DDR-related genes that could have a relevant role for trabectedin efficacy. In this retrospective translational study, 118 genes involved in DDR were evaluated to determine, by transcriptomics, a predictive gene signature of trabectedin efficacy. A six-gene predictive signature of trabectedin efficacy was built in a series of 139 tumor samples from patients with advanced STS. Patients in the high-risk gene signature group showed a significantly worse progression-free survival compared with patients in the low-risk group (2.1 vs 6.0 months, respectively). Differential gene expression analysis defined new potential predictive biomarkers of trabectedin sensitivity (PARP3 and CCNH) or resistance (DNAJB11 and PARP1). Our study identified a new gene signature that significantly predicts patients with higher probability to respond to treatment with trabectedin. Targeting some genes of this signature emerges as a potential strategy to enhance trabectedin efficacy.
KW - Gene signature
KW - Predictive biomarkers
KW - Trabectedin
U2 - 10.1002/1878-0261.12996
DO - 10.1002/1878-0261.12996
M3 - Article
C2 - 33983674
SN - 1878-0261
VL - 15
SP - 3691
EP - 3705
JO - Molecular Oncology
JF - Molecular Oncology
IS - 12
ER -