Dynamic circulating tumor DNA profiling for prediction of long-term clinical benefit in pMMR locally advanced rectal cancer receiving neoadjuvant chemoradiotherapy plus sintilimab.

X Xiaobin Zheng H Huashan Liu Z Zhihong Zhang T Tanxing Cai (The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China) L Lishuo Shi Z Ziwei Zeng W Wei Xiao (Center for Plant Molecular Biology, University of Tübingen) S Shuangling Luo Y Yonghua Cai Z Zhanzhen Liu Y Yujie Hou Y Yanxin Luo Z Zuli Yang X Xiaowen He J Jia Ke (State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy, and Academy for Advanced Interdisciplinary Studies, Nankai University, 38 Tongyan Road, Tianjin 300350, China) L Liang Huang (Research Center for Analytical Science, College of Chemistry) L Liang Kang

Abstract

3590 Background: Immune checkpoint inhibitors (ICIs) targeting PD-1 have significantly improved outcomes in locally advanced rectal cancer (LARC). Circulating tumor DNA (ctDNA) has emerged as a promising biomarker for treatment response monitoring and surveillance, capable of predicting long-term clinical outcomes. However, whether ctDNA serves as a prognostic predictor in patients with proficient mismatch repair (pMMR) LARC receiving neoadjuvant chemoradiotherapy (CRT) combined with immunotherapy remains to be explored. Methods: This prospective single-arm phase II trial enrolled pMMR LARC patients (cT 3-4 N 0 M 0 and cT 1-4 N 1-2 M 0 ) with an intermediate or high immunoscore (IS B ) (NCT05450029). Treatment-naïve patients received radiotherapy (50 Gy/ 25 fractions), 6 cycles of mFOLFOX6, and 5 cycles of sintilimab, followed by total mesorectal excision (TME) 6-8 weeks post-radiotherapy. Next-generation sequencing was used to evaluate baseline tumor tissue DNA and serial ctDNA dynamic changes. Baseline (T0) maximal somatic variant allelic frequency (maxVAF) was assessed, along with its changes at the first (T1, two cycles after therapy) and second clinical evaluation (T2, four cycles after therapy). Results: Tumor somatic mutations and aligned ctDNA analyses were conducted in 43 patients. The pathologic complete response (pCR) rate was 65.2%, with an objective response rate (ORR) of 93.5%. The R0 resection rate was 97.8%. The 3-year event-free survival rate, and 3-year overall survival rate remain immature. For dynamic ctDNA analysis, 37 patients were assessed using a 950-gene panel relevant to cancer. A significant decline in maxVAF from T0 to T1 was observed in the pCR group. Among patients who reached follow-up endpoints, circulating tumor DNA analysis reveals that patients with a > 50% decline in maxVAF from T0 to T1 demonstrated longer survival outcomes and higher response rates compared to those without such decline. Conclusions: Serial ctDNA analysis demonstrates applicability in predicting treatment response to CRT combined with immunotherapy in pMMR LARC. Dynamic changes in circulating ctDNA may serve as a potential prognostic indicator in this population. Future studies should integrate ctDNA profiling of comprehensive cancer-related gene panels with large-scale clinical data to refine patient stratification and optimize therapeutic management. Clinical trial information: NCT05450029 .

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 3590-3590
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (17)

X

Xiaobin Zheng

H

Huashan Liu

Z

Zhihong Zhang

T

Tanxing Cai

The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China

L

Lishuo Shi

Z

Ziwei Zeng

W

Wei Xiao

Center for Plant Molecular Biology, University of Tübingen

S

Shuangling Luo

Y

Yonghua Cai

Z

Zhanzhen Liu

Y

Yujie Hou

Y

Yanxin Luo

Z

Zuli Yang

X

Xiaowen He

J

Jia Ke

State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy, and Academy for Advanced Interdisciplinary Studies, Nankai University, 38 Tongyan Road, Tianjin 300350, China

L

Liang Huang

Research Center for Analytical Science, College of Chemistry

L

Liang Kang