Genome-wide and panel-based cell-free DNA characterization of patients with resectable esophageal adenocarcinoma.
Tom van den EndeYmke van der PolAafke CreemersNorbert MoldovanDries BoersMark I van Berge HenegouwenMaarten Ccm HulshofSaskia Agm CillessenNicole Ct van GriekenD Michiel PegtelSarah DerksMaarten F BijlsmaFlorent MouliereHanneke Wm van LaarhovenPublished in: The Journal of pathology (2023)
Circulating tumor DNA (ctDNA) holds promise in resectable esophageal adenocarcinoma (EAC) to predict patient outcome but is not yet sensitive enough to be clinically applicable. Our aim was to combine ctDNA mutation data with shallow whole-genome sequencing (sWGS)-derived copy number tumor fraction estimates (ichorCNA) to improve pathological response and survival prediction in EAC. In total, 111 stage II/III EAC patients with baseline (n = 111), post-neoadjuvant chemoradiotherapy (nCRT) (n = 68), and pre-surgery (n = 92) plasma samples were used for ctDNA characterization. sWGS (<5× coverage) was performed on all time-point samples, and copy number aberrations were estimated using ichorCNA. Baseline and pre-surgery samples were sequenced using a custom amplicon panel for mutation detection. Detection of baseline ctDNA was successful in 44.3% of patients by amplicon sequencing and 10.5% by ichorCNA. Combining both, ctDNA could be detected in 50.5% of patients. Baseline ctDNA positivity was related to higher T stage (cT3, 4) (p = 0.017). There was no relationship between pathological response and baseline ctDNA positivity. However, baseline ctDNA metrics (variant allele frequency > 1% or ichorCNA > 3%) were associated with a high risk of disease progression [HR = 2.23 (95% CI 1.22-4.07), p = 0.007]. The non-clearance of a baseline variant or ichorCNA > 3% in pre-surgery samples was related to early progression [HR = 4.58 (95% CI 2.22-9.46), p < 0.001]. Multi-signal analysis improves detection of ctDNA and can be used for prognostication of resectable EAC patients. Future studies should explore the potential of multi-modality sequencing for risk stratification and treatment adaptation based on ctDNA results. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Keyphrases
- circulating tumor
- copy number
- cell free
- circulating tumor cells
- genome wide
- end stage renal disease
- locally advanced
- mitochondrial dna
- ejection fraction
- minimally invasive
- chronic kidney disease
- squamous cell carcinoma
- prognostic factors
- dna methylation
- randomized controlled trial
- rectal cancer
- lymph node
- magnetic resonance
- gene expression
- computed tomography
- climate change
- atrial fibrillation
- magnetic resonance imaging
- patient reported
- coronary artery disease
- real time pcr
- loop mediated isothermal amplification
- artificial intelligence
- single molecule
- deep learning
- human health
- surgical site infection