Pan-oesophageal and spatially resolved genetic analysis reveals instability signature for earlier diagnosis of squamous cell cancer

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Abstract

Early detection of oesophageal squamous cell carcinoma (OSCC) significantly improves patients’ survival. Nonetheless, the availability of non-endoscopic, effective, and minimally invasive diagnostic approaches is limited. Here, we evaluated the utility of minimally invasive pan-oesophageal sampling using a capsule-sponge and aneuploidy detection using shallow whole genome sequencing (sWGS) for early detection of OSCC and precancerous intraepithelial neoplasia (IEN).

In the prospective arm, 200 participants underwent the capsule-sponge procedure, and we performed sWGS from 178 successfully collected specimens (89%). We combined newly developed genome-wide copy-number alteration (GW-CNA) score and copy number alterations (CNAs) at chromosomal arm level to measure global and local aneuploidy, respectively. Logistic regression model identified GW-CNA and CNAs on chromosomal arms 2q, 3q, 9p and 11q as key diagnostic predictors differentiating OSCC and IEN from healthy controls (AUC of 0.920 (95% CI: 0.907-0.933), accuracy: 0.888, sensitivity: 0.896, specificity: 0.887). The model outperformed histology-based diagnosis using H&E staining and p53 immunohistological assessment. Finally, the analysis of microdissected samples derived from retrospective endoscopic en-bloc resections, and spanning the entire pathological continuum of OSCC demonstrated stepwise increase in GW-CNA and CNAs of 2q, 3q, 9p and 11q, validating their biological significance.

This study demonstrates the high potential of combined pan-oesophageal sampling and sWGS aneuploidy analysis for early detection of OSCC and as a potential path to improved patients’ outcomes.

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