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Comprehensive molecular characterization of cfDNA as predictive and monitoring biomarkers in advanced gastric cancer receiving immunotherapy.

2/5 보강
Journal for immunotherapy of cancer 📖 저널 OA 99.7% 2022: 3/3 OA 2023: 1/1 OA 2024: 13/13 OA 2025: 143/143 OA 2026: 153/154 OA 2022~2026 2026 Vol.14(4) OA Cancer Genomics and Diagnostics
Retraction 확인
출처
PubMed DOI PMC OpenAlex 마지막 보강 2026-04-30

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
94 patients with aGC undergoing combination immunotherapy and assigned them to a discovery set (n=49) and an internal validation set (n=45).
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
We found that responders showed longer cfDNA, lower cfDNA tumor fraction (median: 0.
OpenAlex 토픽 · Cancer Genomics and Diagnostics Single-cell and spatial transcriptomics Cancer Cells and Metastasis

Fang J, Yu Y, Sun Y, Ji M, Jiang Y, Chen X, Yan C, Jin G

📝 환자 설명용 한 줄

[BACKGROUND] Advanced gastric cancer (aGC) exhibits substantial heterogeneity in response to combination immunotherapy.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 표본수 (n) 49
  • p-value p<0.001
  • 95% CI 0.65 to 0.93

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↓ .bib ↓ .ris
APA Ji Fang, Yuhui Yu, et al. (2026). Comprehensive molecular characterization of cfDNA as predictive and monitoring biomarkers in advanced gastric cancer receiving immunotherapy.. Journal for immunotherapy of cancer, 14(4). https://doi.org/10.1136/jitc-2025-013792
MLA Ji Fang, et al.. "Comprehensive molecular characterization of cfDNA as predictive and monitoring biomarkers in advanced gastric cancer receiving immunotherapy.." Journal for immunotherapy of cancer, vol. 14, no. 4, 2026.
PMID 41986073 ↗

Abstract

[BACKGROUND] Advanced gastric cancer (aGC) exhibits substantial heterogeneity in response to combination immunotherapy. Circulating cell-free DNA (cfDNA) enables non-invasive profiling of tumor dynamics and may provide biomarkers for response prediction.

[METHODS] We enrolled 94 patients with aGC undergoing combination immunotherapy and assigned them to a discovery set (n=49) and an internal validation set (n=45). Plasma cfDNA was collected pre-treatment and post-treatment and profiled by low-pass whole-genome sequencing and whole-genome bisulfite sequencing in the discovery set, with targeted bisulfite sequencing used in the validation set.

[RESULTS] The discovery set included 34 responders and 15 non-responders, and the validation set included 30 responders and 15 non-responders. We found that responders showed longer cfDNA, lower cfDNA tumor fraction (median: 0.06 vs 0.01, p<0.001), reduced chromosomal instability (median genomic instability index: 0.026 vs 0.007, p<0.001), and higher global methylation (median: 0.715 vs 0.724, p=0.007). Additionally, the differentially methylated region (DMR) at chr20:25849353-25849490 consistently showed higher methylation in responders in both the discovery (adjusted p=0.006) and validation sets (adjusted p=0.049). A predictor based on this DMR outperformed programmed death-ligand 1 (PD-L1) combined positive score (CPS) with area under the curve (AUCs) of 0.79 (discovery: 95% CI 0.65 to 0.93) and 0.72 (validation: 95% CI 0.54 to 0.91). When integrating PD-L1 CPS with this DMR, the AUCs were 0.81 (discovery: 95% CI 0.67 to 0.95) and 0.75 (validation: 95% CI 0.56 to 0.94), respectively. For on-treatment monitoring, three DMRs increased specifically in responders; among them, increased methylation of chr8:110479193-110480324 and chr8:50891437-50892120 was associated with improved progression-free survival (median: 4.90 vs 11.57 months, p<0.001; median: 5.20 vs 10.20 months, p=0.007).

[CONCLUSION] Integrated cfDNA profiling captures immunotherapy-associated molecular dynamics in aGC. A single pretreatment cfDNA methylation marker (chr20:25849353-25849490) improves response prediction beyond PD-L1 CPS and represents a potential predictive biomarker for combination immunotherapy.

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