Liao Gaoming, Yang Yiran, Xie Aimin, Jiang Zedong, Liao Jianlong, Yan Min, Zhou Yao, Zhu Jiali, Hu Jing, Zhang Yunpeng, Xiao Yun, Li Xia
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Key Laboratory of Cardiovascular Medicine Research, Harbin Medical University, Ministry of Education, Harbin, China.
Front Cell Dev Biol. 2022 Feb 25;10:845950. doi: 10.3389/fcell.2022.845950. eCollection 2022.
Triple-negative breast cancer (TNBC) is a highly aggressive disease with historically poor outcomes, primarily due to the lack of effective targeted therapies. Here, we established a drug sensitivity prediction model based on the homologous recombination deficiency (HRD) using 83 TNBC patients from TCGA. Through analyzing the effect of HRD status on response efficacy of anticancer drugs and elucidating its related mechanisms of action, we found rucaparib (PARP inhibitor) and doxorubicin (anthracycline) sensitive in HR-deficient patients, while paclitaxel sensitive in the HR-proficient. Further, we identified a HRD signature based on gene expression data and constructed a transcriptomic HRD score, for analyzing the functional association between anticancer drug perturbation and HRD. The results revealed that CHIR99021 (GSK3 inhibitor) and doxorubicin have similar expression perturbation patterns with HRD, and talazoparib (PARP inhibitor) could kill tumor cells by reversing the HRD activity. Genomic characteristics indicated that doxorubicin inhibited tumor cells growth by hindering the process of DNA damage repair, while the resistance of cisplatin was related to the activation of angiogenesis and epithelial-mesenchymal transition. The negative correlation of HRD signature score could interpret the association of doxorubicin pIC50 with worse chemotherapy response and shorter survival of TNBC patients. In summary, these findings explain the applicability of anticancer drugs in TNBC and underscore the importance of HRD in promoting personalized treatment development.
三阴性乳腺癌(TNBC)是一种侵袭性很强的疾病,历来预后较差,主要原因是缺乏有效的靶向治疗方法。在此,我们利用来自TCGA的83例TNBC患者建立了一种基于同源重组缺陷(HRD)的药物敏感性预测模型。通过分析HRD状态对抗癌药物反应疗效的影响并阐明其相关作用机制,我们发现鲁卡帕尼(PARP抑制剂)和阿霉素(蒽环类药物)对HR缺陷患者敏感,而紫杉醇对HR proficient患者敏感。此外,我们基于基因表达数据鉴定了一种HRD特征,并构建了一个转录组HRD评分,用于分析抗癌药物干扰与HRD之间的功能关联。结果显示,CHIR99021(GSK3抑制剂)和阿霉素与HRD具有相似的表达干扰模式,而他拉唑帕尼(PARP抑制剂)可通过逆转HRD活性杀死肿瘤细胞。基因组特征表明,阿霉素通过阻碍DNA损伤修复过程抑制肿瘤细胞生长,而顺铂耐药与血管生成和上皮-间质转化的激活有关。HRD特征评分的负相关可以解释阿霉素pIC50与TNBC患者化疗反应较差和生存期较短之间的关联。总之,这些发现解释了抗癌药物在TNBC中的适用性,并强调了HRD在促进个性化治疗发展中的重要性。