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基因组特征作为卵巢癌同源重组缺陷的预测生物标志物

Genomic signatures as predictive biomarkers of homologous recombination deficiency in ovarian cancer.

作者信息

Vanderstichele Adriaan, Busschaert Pieter, Olbrecht Siel, Lambrechts Diether, Vergote Ignace

机构信息

Department of Gynaecology and Obstetrics, University Hospitals Leuven, Belgium; Division of Gynaecological Oncology, Leuven Cancer Institute, KU Leuven, Leuven, Belgium.

Department of Gynaecology and Obstetrics, University Hospitals Leuven, Belgium; Division of Gynaecological Oncology, Leuven Cancer Institute, KU Leuven, Leuven, Belgium.

出版信息

Eur J Cancer. 2017 Nov;86:5-14. doi: 10.1016/j.ejca.2017.08.029. Epub 2017 Sep 23.

Abstract

DNA repair deficiency is a common hallmark of many cancers and is increasingly recognised as a target for cancer therapeutics. Selecting patients for these treatments requires a functional assessment of multiple redundant DNA repair pathways. With the advent of whole-genome sequencing of cancer genomes, it is increasingly recognised that multiple signatures of mutational and chromosomal alterations can be correlated with specific DNA repair defects. The clinical relevance of this approach is underlined by the use of poly-(ADP-ribose) polymerase inhibitors (PARPi) in homologous recombination (HR) deficient high-grade serous ovarian cancers. Beyond deleterious mutations in HR-related genes such as BRCA1/2, it is recognised that HR deficiency endows ovarian cancers with specific signatures of base substitutions and structural chromosomal variation. Multiple metrics quantifying loss-of-heterozygosity (LOH) events were proposed and implemented in trials with PARPi. However, it was shown that some of the HR-deficient cases, i.e. CDK12-mutated tumours, were not associated with high LOH-based scores, but with distinct patterns of genomic alterations such as tandem duplication. Therefore, more complex signatures of structural genomic variation were identified and quantified. Ultimately, optimal prediction models for treatments targeting DNA repair will need to integrate multiples of these genomic signatures and will also need to assess multiple resistance mechanisms such as genomic reversion events that partially or fully re-activate DNA repair.

摘要

DNA修复缺陷是许多癌症的常见特征,并且越来越被视为癌症治疗的靶点。选择接受这些治疗的患者需要对多个冗余的DNA修复途径进行功能评估。随着癌症基因组全基因组测序的出现,人们越来越认识到,多种突变和染色体改变特征可与特定的DNA修复缺陷相关联。聚(ADP-核糖)聚合酶抑制剂(PARPi)在同源重组(HR)缺陷的高级别浆液性卵巢癌中的应用凸显了这种方法的临床相关性。除了BRCA1/2等HR相关基因中的有害突变外,人们还认识到HR缺陷赋予卵巢癌特定的碱基替换和染色体结构变异特征。在PARPi试验中提出并实施了多种量化杂合性缺失(LOH)事件的指标。然而,研究表明,一些HR缺陷病例,即CDK12突变肿瘤,与基于高LOH的评分无关,而是与串联重复等独特的基因组改变模式有关。因此,人们识别并量化了更复杂的结构基因组变异特征。最终,针对DNA修复的治疗的最佳预测模型需要整合这些基因组特征中的多个特征,还需要评估多种耐药机制,如部分或完全重新激活DNA修复的基因组逆转事件。

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