Author
Listed:
- Shunying Li
(Sun Yat-sen University
Sun Yat-sen University)
- Yudong Li
(Sun Yat-sen University
Sun Yat-sen University)
- Wei Wei
(Peking University Shenzhen Hospital)
- Chang Gong
(Sun Yat-sen University
Sun Yat-sen University)
- Ting Wang
(The Air Force Medical University)
- Guangxin Li
(Peking University Shenzhen Hospital)
- Feng Yao
(Renmin Hospital of Wuhan University)
- Jiang-Hua Ou
(Xinjiang Medical University)
- Yan Xu
(Army Military Medical University)
- Wei Wu
(Sun Yat-sen University
Sun Yat-sen University)
- Liang Jin
(Sun Yat-sen University
Sun Yat-sen University)
- Nanyan Rao
(Sun Yat-sen University
Sun Yat-sen University)
- Yan Nie
(Sun Yat-sen University
Sun Yat-sen University)
- Fengyan Yu
(Sun Yat-sen University
Sun Yat-sen University)
- Weijuan Jia
(Sun Yat-sen University
Sun Yat-sen University)
- Xing-Rui Li
(Tongji Medical College of Huazhong University of Science and Technology)
- Jun Zhang
(Shenzhen Qianhai Shekou Free Trade Zone Hospital)
- Hua-Wei Yang
(Guangxi Medical University Cancer Hospital)
- Yaping Yang
(Sun Yat-sen University
Sun Yat-sen University)
- Mengzi Wu
(Sun Yat-sen University
Sun Yat-sen University)
- Qin Li
(Geneplus-Beijing Institute)
- Fang Li
(Geneplus-Beijing Institute)
- Yuhua Gong
(Geneplus-Beijing Institute)
- Xin Yi
(Geneplus-Beijing Institute)
- Qiang Liu
(Sun Yat-sen University
Sun Yat-sen University)
Abstract
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.
Suggested Citation
Shunying Li & Yudong Li & Wei Wei & Chang Gong & Ting Wang & Guangxin Li & Feng Yao & Jiang-Hua Ou & Yan Xu & Wei Wu & Liang Jin & Nanyan Rao & Yan Nie & Fengyan Yu & Weijuan Jia & Xing-Rui Li & Jun Z, 2025.
"Dynamic ctDNA tracking stratifies relapse risk for triple negative breast cancer patients receiving neoadjuvant chemotherapy,"
Nature Communications, Nature, vol. 16(1), pages 1-13, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57988-z
DOI: 10.1038/s41467-025-57988-z
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