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一种多组学特征揭示了三阴性乳腺癌中同源重组缺陷背后的改变。

A Multiomics Signature Highlights Alterations Underlying Homologous Recombination Deficiency in Triple-Negative Breast Cancer.

作者信息

Su Guan-Hua, Jiang Lin, Xiao Yi, Zheng Ren-Cheng, Wang He, Jiang Yi-Zhou, Peng Wei-Jun, Shao Zhi-Ming, Gu Ya-Jia, You Chao

机构信息

Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.

Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 201203, China.

出版信息

Ann Surg Oncol. 2022 Oct;29(11):7165-7175. doi: 10.1245/s10434-022-11958-7. Epub 2022 Jun 16.

Abstract

BACKGROUND

Homologous recombination (HR) is a key pathway in DNA double-strand damage repair. HR deficiency (HRD) occurs more commonly in triple-negative breast cancers (TNBCs) than in other breast cancer subtypes. Several clinical trials have demonstrated the value of HRD in stratifying breast cancer patients into distinct groups based on their responses to poly(ADP ribose) polymerase inhibitors and chemotherapy.

METHODS

We retrospectively collected TNBC samples to establish a multiomics cohort (n = 343) and explored the biological and phenotypic mechanisms underlying the better prognosis of patients with high HRD scores. Gene set enrichment analysis was conducted to elucidate the underlying pathways in patients with low HRD scores, and a radiomics model was established to predict the HRD score via a noninvasive method.

RESULTS

Multivariable Cox analysis revealed the independent prognostic value of a low HRD score (hazard ratio 2.20, 95% confidence interval 1.05-4.59; p = 0.04). Furthermore, amino acid and lipid metabolism pathways were highly enriched in tumors from patients with low HRD scores, which was also demonstrated by differential abundant metabolite analysis. A noninvasive radiomics method was developed to predict the HRD status and it performed well in the independent validation cohort (support vector machine model: area under the curve [AUC] 0.739, sensitivity 0.571, and specificity 0.824; logistic regression model: AUC 0.695, sensitivity 0.571, and specificity 0.882).

CONCLUSIONS

We revealed the prognostic value of the HRD score, predicted the HRD status with noninvasive radiomics features, and preliminarily explored druggable targets for TNBC patients with low HRD scores.

摘要

背景

同源重组(HR)是DNA双链损伤修复的关键途径。与其他乳腺癌亚型相比,同源重组缺陷(HRD)在三阴性乳腺癌(TNBC)中更为常见。多项临床试验已证明HRD在根据乳腺癌患者对聚(ADP核糖)聚合酶抑制剂和化疗的反应将其分为不同亚组方面的价值。

方法

我们回顾性收集TNBC样本以建立一个多组学队列(n = 343),并探索HRD高评分患者预后较好的生物学和表型机制。进行基因集富集分析以阐明HRD低评分患者的潜在途径,并建立一个放射组学模型以通过非侵入性方法预测HRD评分。

结果

多变量Cox分析显示HRD低评分具有独立的预后价值(风险比2.20,95%置信区间1.05 - 4.59;p = 0.04)。此外,HRD低评分患者的肿瘤中氨基酸和脂质代谢途径高度富集,差异丰富代谢物分析也证实了这一点。开发了一种非侵入性放射组学方法来预测HRD状态,并且在独立验证队列中表现良好(支持向量机模型:曲线下面积[AUC] 0.739,敏感性0.571,特异性0.824;逻辑回归模型:AUC 0.695,敏感性0.571,特异性0.882)。

结论

我们揭示了HRD评分的预后价值,利用非侵入性放射组学特征预测HRD状态,并初步探索了HRD低评分TNBC患者的可靶向治疗靶点。

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