Li Shunying, Li Yudong, Wei Wei, Gong Chang, Wang Ting, Li Guangxin, Yao Feng, Ou Jiang-Hua, Xu Yan, Wu Wei, Jin Liang, Rao Nanyan, Nie Yan, Yu Fengyan, Jia Weijuan, Li Xing-Rui, Zhang Jun, Yang Hua-Wei, Yang Yaping, Wu Mengzi, Li Qin, Li Fang, Gong Yuhua, Yi Xin, Liu Qiang
Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Nat Commun. 2025 Mar 21;16(1):2786. doi: 10.1038/s41467-025-57988-z.
Early Triple negative breast cancer (eTNBC) is the subtype with the worst outcome. Circulating tumor DNA (ctDNA) is shown to predict the prognosis of breast cancer, but its utility in eTNBC remains unclear. 130 stage II-III female eTNBC patients receiving neoadjuvant chemotherapy (NAC) have been enrolled prospectively and subjected to ctDNA analysis. ctDNA at post-NAC (pre-surgery) and post-surgery, but not at baseline, is associated with worse prognosis. A threshold of 1.1% maximum variant allele frequency at baseline stratifies patients with different relapse risk, which is validated internally and externally. A systemic tumor burden model integrating baseline and post-surgery ctDNA is independently prognostic (p = 0.022). Combining systemic tumor burden with pathologic response identifies a highly curable subgroup and a subgroup of high-risk eTNBC patients. ctDNA surveillance during follow-up identifies patients with high relapse risk. In conclusion, systemic ctDNA analysis demonstrates the utility of a systemic tumor burden model of ctDNA in risk stratification of eTNBC patients, which may guide future treatment escalation or de-escalation trials.
早期三阴性乳腺癌(eTNBC)是预后最差的亚型。循环肿瘤DNA(ctDNA)已被证明可预测乳腺癌的预后,但其在eTNBC中的作用仍不明确。前瞻性纳入了130例接受新辅助化疗(NAC)的II-III期女性eTNBC患者,并对其进行ctDNA分析。NAC后(术前)和术后的ctDNA,而非基线时的ctDNA,与较差的预后相关。基线时最大变异等位基因频率为1.1%的阈值可对具有不同复发风险的患者进行分层,该阈值在内部和外部均得到验证。整合基线和术后ctDNA的全身肿瘤负荷模型具有独立的预后价值(p = 0.022)。将全身肿瘤负荷与病理反应相结合可确定一个高治愈率亚组和一个高危eTNBC患者亚组。随访期间的ctDNA监测可识别出具有高复发风险的患者。总之,全身ctDNA分析证明了ctDNA全身肿瘤负荷模型在eTNBC患者风险分层中的作用,这可能会指导未来治疗强化或降级试验。