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Predictive biomarkers of trabectedin represents 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

11070 Background: The GMI is a marker of drug activity and represents an intra-patient comparison of successive time to progression (TTP), defined as the TTP ratio between the second (or later) line (TTPn) of therapy divided by the prior line (TTPn−1). Defining a clinical profile of pts with GMI >1.33 could help to identify pts who can gain greater benefit from T. Methods: We retrospectively evaluated the concordance between the GMI and the efficacy outcomes and clinical profiles of 198 pts with ASTS treated with trabectedin 1.5 mg/m² (24-h infusion q3w) as a 2nd or further-line treatment from Jan 2007 to Jun 2016. Results: After a median follow-up of 58 months (m; range: 18-172) median overall survival from ASTS diagnosis (MOS) and from T (MT-OS) were 27.5 m (23-32.1) and 10.8 m (8.9-12.7), respectively, while median TTP from T (MT-TTP) and T-1 were 3.4 m (2.8-4) and 3.5 m (2.8-4.2). Overall, 106 pts (53%) had a GMI <1; 22 (11%) a GMI=1-1.33 and 70 pts (35%) a GMI >1.33. A high GMI (<1.33 vs >1.33) correlated with favorable efficacy outcomes: MT-OS: 23 vs 36 m (p<0.001), MT-TTP 2.3 vs 8.2 m (p<0.001) and clinical benefit (objective response + stable disease) 23% vs 68% (p=0.001). The multivariate analysis identified L-type sarcoma (Odds ratio: 1.99, 95% CI 1.06-3.71), metastatic free interval (MFI) from initial diagnosis > 8.1 m (2.24, 95%CI 1.19-4.18) and Karnofsky >80 (2.3, 95%CI 1.00-5.28) as factors independently associated to GMI> 1.33. Based on these 3 variables we defined a new GEISTRA score assigning 1 point for each adversely affected variable: non L-Sarcoma, MFI<8.1m or Karnofsky <80. This score showed a strong correlation with MT-TTP (p<0.001) and MT-OS (p<0.001). Conclusions: Based on the high GMI we defined a new GEISTRA score, which is strongly associated with favorable efficacy outcomes in pts with ASTS treated with T. Thus, GEISTRA score could be a potentially useful predictable clinical tool for T benefit. [Table: see text]