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一个与 DNA 损伤修复基因相关的特征可预测晚期软组织肉瘤患者对 trabectedin 治疗的反应。

A DNA damage repair gene-associated signature predicts responses of patients with advanced soft-tissue sarcoma to treatment with trabectedin.

机构信息

Institute of Biomedicine of Seville (IBIS, HUVR, CSIC, Universidad de Sevilla), Spain.

Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), CDCA, Hospital Virgen del Rocio, Seville, Spain.

出版信息

Mol Oncol. 2021 Dec;15(12):3691-3705. doi: 10.1002/1878-0261.12996. Epub 2021 Jun 30.

Abstract

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.

摘要

预测生物标志物对晚期软组织肉瘤(STS)具有重要意义。DNA 损伤修复(DDR)基因参与同源重组或核苷酸切除修复,先前被描述为 trabectedin 耐药或敏感的生物标志物。这些研究大多数仅关注特定因素(ERCC1、ERCC5 和 BRCA1),而没有评估其他可能对 trabectedin 疗效有相关作用的多个 DDR 相关基因。在这项回顾性转化研究中,通过转录组学评估了 118 个参与 DDR 的基因,以确定 trabectedin 疗效的预测基因特征。在 139 例晚期 STS 患者的肿瘤样本系列中构建了一个包含六个基因的 trabectedin 疗效预测基因特征。高风险基因特征组的患者与低风险组患者相比,无进展生存期明显更差(分别为 2.1 个月和 6.0 个月)。差异基因表达分析确定了新的潜在 trabectedin 敏感性预测生物标志物(PARP3 和 CCNH)或耐药性预测生物标志物(DNAJB11 和 PARP1)。本研究确定了一个新的基因特征,该特征可显著预测对 trabectedin 治疗反应更高的患者。针对该特征中的某些基因可能是增强 trabectedin 疗效的一种潜在策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e00e/8637557/b952c11ea3bd/MOL2-15-3691-g005.jpg

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