Longitudinal on-treatment circulating tumor DNA as a biomarker for real-time dynamic risk monitoring in cancer patients: The EP-SEASON study

Jia‐Wei Lv(Sun Yat-sen University), Ling-Xin Xu(Sun Yat-sen University), Zhi‐Xuan Li(Sun Yat-sen University), Li Lin(Sun Yat-sen University), Chen‐Fei Wu(Sun Yat-sen University), Ting-Qiu Quan(Sun Yat-sen University), Zi-Cheng Zhen(Sun Yat-sen University), Wen‐Fei Li(Sun Yat-sen University), Ling‐Long Tang(Sun Yat-sen University), Yan‐Ping Mao(Sun Yat-sen University), Lei Chen(Sun Yat-sen University), Rui Guo(Sun Yat-sen University), Lulu Zhang(Sun Yat-sen University), XinLei Ai(Sun Yat-sen University), Shi-Yue Wu(Sun Yat-sen University), Meng-Yu Hao(Sun Yat-sen University), Denghui Wei(Sun Yat-sen University), Jibin Li(Sun Yat-sen University), Jun Ma(Sun Yat-sen University), Yu‐Pei Chen(Sun Yat-sen University), Guan‐Qun Zhou(Sun Yat-sen University), Ying Sun(Sun Yat-sen University)
Cancer Cell
July 25, 2024
Cited by 63Open Access
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Abstract

Recurrence risks of cancer patient can change during treatment as a result of treatment-related tumor evolution. However, biomarkers that can monitor these changes are lacking. Here, we investigated whether tracking circulating tumor DNA (ctDNA) dynamics through liquid biopsy can inform real-time recurrence risk. Nasopharyngeal carcinoma (NPC) provides an ideal model where cell-free Epstein-Barr virus (EBV) DNA (cfEBV DNA), a ctDNA, can be sensitively detected. We conducted the EP-SEASON study (NCT03855020) and prospectively recruited 1,000 NPC patients undergoing per-protocol cfEBV DNA assessments at 11 time points and receiving sequential chemo-radiotherapy. Longitudinal cfEBV DNA displayed distinct patterns during neoadjuvant chemotherapy and radiotherapy. Despite the prognostic significance of cfEBV DNA at each time point, real-time recurrence risks changed in sync with cfEBV DNA dynamics. Furthermore, we identified phenotypes of whole-course ctDNA changing dynamics associated with different survival outcomes. In conclusion, tracking longitudinal on-treatment ctDNA can forecast real-time recurrence risk, facilitating risk-adapted, individualized patient management.


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