Whole-genome sequencing of single circulating tumor cells from neuroendocrine neoplasms

Author:

Childs Alexa1,Steele Christopher D1,Vesely Clare1,Rizzo Francesca M1,Ensell Leah1,Lowe Helen1,Dhami Pawan1,Vaikkinen Heli1,Luong Tu Vinh2,Conde Lucia1,Herrero Javier1,Caplin Martyn3,Toumpanakis Christos3,Thirlwell Christina14,Hartley John A1,Pillay Nischalan56,Meyer Tim14

Affiliation:

1. 1UCL Cancer Institute, University College London, London, UK

2. 2Department of Histopathology, Royal Free London NHS Foundation Trust, London, UK

3. 3Department of Gastroenterology, Royal Free London NHS Foundation Trust, London, UK

4. 4Department of Oncology, Royal Free London NHS Foundation Trust, London, UK

5. 5Research Department of Pathology, Cancer Institute, University College London, London, UK

6. 6Department of Cellular and Molecular Pathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, UK

Abstract

Single-cell profiling of circulating tumor cells (CTCs) as part of a minimally invasive liquid biopsy presents an opportunity to characterize and monitor tumor heterogeneity and evolution in individual patients. In this study, we aimed to compare single-cell copy number variation (CNV) data with tissue and define the degree of intra- and inter-patient genomic heterogeneity. We performed next-generation sequencing (NGS) whole-genome CNV analysis of 125 single CTCs derived from seven patients with neuroendocrine neoplasms (NEN) alongside matched white blood cells (WBC), formalin-fixed paraffin-embedded (FFPE), and fresh frozen (FF) samples. CTC CNV profiling demonstrated recurrent chromosomal alterations in previously reported NEN copy number hotspots, including the prognostically relevant loss of chromosome 18. Unsupervised hierarchical clustering revealed CTCs with distinct clonal lineages as well as significant intra- and inter-patient genomic heterogeneity, including subclonal alterations not detectable by bulk analysis and previously unreported in NEN. Notably, we also demonstrated the presence of genomically distinct CTCs according to the enrichment strategy utilized (EpCAM-dependent vs size-based). This work has significant implications for the identification of therapeutic targets, tracking of evolutionary change, and the implementation of CTC-biomarkers in cancer.

Publisher

Bioscientifica

Subject

Cancer Research,Endocrinology,Oncology,Endocrinology, Diabetes and Metabolism

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