• Dépistage, diagnostic, pronostic

  • Évaluation des technologies et des biomarqueurs

  • Colon-rectum

Early detection of colorectal cancer using aberrant circulating cell-free mitochondrial DNA fragmentomics

Menée à partir d'échantillons plasmatiques prélevés sur 478 témoins en bonne santé, 112 patients atteints d'un adénome de stade avancé et 557 patients atteints d'un cancer colorectal, cette étude évalue la sensibilité et la spécificité d'un modèle, basé sur les caractéristiques du fragmentome de l'ADN mitochondrial circulant, pour détecter précocement un cancer colorectal

Background : Early detection of colorectal cancer (CRC) is crucial for improving the survival rates of patients.

Objective : We aimed to develop a novel strategy for early CRC detection using the fragmentomic features of circulating cell-free mitochondrial DNA (ccf-mtDNA).

Design : Here, a total of 1147 participants, including 478 healthy controls (HCs), 112 patients with advanced adenomas (AAs) and 557 patients with CRC, were enrolled from five hospitals and plasma samples were collected for capture-based ccf-mtDNA sequencing.

Results : Our data analysis revealed significantly aberrant ccf-mtDNA fragmentomic features in patients with CRC and AA when compared with HCs. Then, a CRC detection (CD) model was constructed based on the fragmentomic features of ccf-mtDNA from 246 patients with CRC and 168 HC in the training cohort, showing area under the curve of 0.9863, sensitivity of 92.68% and specificity of 93.45%. Both internal and two external validation cohorts demonstrated the excellent capacity of CD model in distinguishing patients with early-stage CRC from HCs, greatly surpassing the performance of serum biomarkers. Furthermore, our CD model can also detect patients with AA with a sensitivity of 79.35% in AA cohort 1 and 85.00% in AA cohort 2.

Conclusion : In conclusion, based on aberrant ccf-mtDNA fragmentomic features, a novel and non-invasive approach was established for the detection of patients with early-stage CRC or AA, with high performance.

Gut , résumé, 2023

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