Circulating extrachromosomal circular DNA as a prognostic biomarker for colorectal cancer.
[BACKGROUND] Delayed detection of recurrence significantly contributes to colorectal cancer (CRC) mortality, underscoring the need for robust prognostic biomarkers.
- 표본수 (n) 20
- HR 3.79
- 연구 설계 cohort study
APA
Luo X, Cui J, et al. (2026). Circulating extrachromosomal circular DNA as a prognostic biomarker for colorectal cancer.. Cell communication and signaling : CCS, 24(1). https://doi.org/10.1186/s12964-026-02721-6
MLA
Luo X, et al.. "Circulating extrachromosomal circular DNA as a prognostic biomarker for colorectal cancer.." Cell communication and signaling : CCS, vol. 24, no. 1, 2026.
PMID
41654905
Abstract
[BACKGROUND] Delayed detection of recurrence significantly contributes to colorectal cancer (CRC) mortality, underscoring the need for robust prognostic biomarkers. Although extrachromosomal circular DNA (eccDNA) is a known oncogenic driver, its prognostic utility in CRC remains largely unexplored.
[METHODS] In this 6-year prospective cohort study, full-length eccDNA profiling of 153 plasma samples was performed using Nanopore sequencing. Differential eccDNA signatures between recurrence (R, n = 20) and non-recurrence (NR, n = 133) patients enabled construction of predictive models for recurrence and mortality. Functional validation of eccDNAs was conducted in HCT116 cells.
[RESULTS] Compared to NR patients, R patients exhibited enrichment of eccDNAs derived from chromosome 9, shorter median eccDNA lengths, and reduced variability in eccDNA length. All 4.9-5.0 kb eccDNAs derived from CKM, while other eccDNAs showed a strong genomic distribution correlation between groups (Spearman's ρ = 0.73). Promoter-derived eccDNAs were enriched in R patients, particularly from the promoter of CARD9 (eccPromoter-CARD9, 10.4-fold increase). Overexpression of eccPromoter-CARD9 significantly promoted CRC cell proliferation and migration. R patients exhibited elevated eccDNAs harboring the hsa-mir-374c cluster in plasma and tissues, and their corresponding miRNAs demonstrated exceptional diagnostic accuracy in CRC-related TCGA cohorts. An eccDNA-based random forest classifier achieved superior recurrence prediction accuracy (AUC > 0.8), correlating with shorter time-to-recurrence (HR = 3.79) and elevated CA125 and CEA levels. Additional eccDNA-based models effectively predicted recurrence-associated mortality (AUC ≥ 0.93).
[CONCLUSIONS] The plasma eccDNA landscape may serve as an early and powerful non-invasive biomarker for CRC prognostication, optimizing risk stratification and guiding personalized treatment.
[METHODS] In this 6-year prospective cohort study, full-length eccDNA profiling of 153 plasma samples was performed using Nanopore sequencing. Differential eccDNA signatures between recurrence (R, n = 20) and non-recurrence (NR, n = 133) patients enabled construction of predictive models for recurrence and mortality. Functional validation of eccDNAs was conducted in HCT116 cells.
[RESULTS] Compared to NR patients, R patients exhibited enrichment of eccDNAs derived from chromosome 9, shorter median eccDNA lengths, and reduced variability in eccDNA length. All 4.9-5.0 kb eccDNAs derived from CKM, while other eccDNAs showed a strong genomic distribution correlation between groups (Spearman's ρ = 0.73). Promoter-derived eccDNAs were enriched in R patients, particularly from the promoter of CARD9 (eccPromoter-CARD9, 10.4-fold increase). Overexpression of eccPromoter-CARD9 significantly promoted CRC cell proliferation and migration. R patients exhibited elevated eccDNAs harboring the hsa-mir-374c cluster in plasma and tissues, and their corresponding miRNAs demonstrated exceptional diagnostic accuracy in CRC-related TCGA cohorts. An eccDNA-based random forest classifier achieved superior recurrence prediction accuracy (AUC > 0.8), correlating with shorter time-to-recurrence (HR = 3.79) and elevated CA125 and CEA levels. Additional eccDNA-based models effectively predicted recurrence-associated mortality (AUC ≥ 0.93).
[CONCLUSIONS] The plasma eccDNA landscape may serve as an early and powerful non-invasive biomarker for CRC prognostication, optimizing risk stratification and guiding personalized treatment.
MeSH Terms
Humans; Colorectal Neoplasms; Biomarkers, Tumor; Prognosis; Male; Female; DNA, Circular; Middle Aged; Prospective Studies; Aged; HCT116 Cells; Neoplasm Recurrence, Local
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