1
|
Mitchell J, Milite S, Bartram J, Walker S, Volkova N, Yavorska O, Zarowiecki M, Chalker J, Thomas R, Vago L, Sosinsky A, Caravagna G. Clinical application of tumour-in-normal contamination assessment from whole genome sequencing. Nat Commun 2024; 15:323. [PMID: 38238294 PMCID: PMC10796348 DOI: 10.1038/s41467-023-44158-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 12/01/2023] [Indexed: 01/22/2024] Open
Abstract
The unexpected contamination of normal samples with tumour cells reduces variant detection sensitivity, compromising downstream analyses in canonical tumour-normal analyses. Leveraging whole-genome sequencing data available at Genomics England, we develop a tool for normal sample contamination assessment, which we validate in silico and against minimal residual disease testing. From a systematic review of [Formula: see text] patients with haematological malignancies and sarcomas, we find contamination across a range of cancer clinical indications and DNA sources, with highest prevalence in saliva samples from acute myeloid leukaemia patients, and sorted CD3+ T-cells from myeloproliferative neoplasms. Further exploration reveals 108 hotspot mutations in genes associated with haematological cancers at risk of being subtracted by standard variant calling pipelines. Our work highlights the importance of contamination assessment for accurate somatic variants detection in research and clinical settings, especially with large-scale sequencing projects being utilised to deliver accurate data from which to make clinical decisions for patient care.
Collapse
Affiliation(s)
| | - Salvatore Milite
- Computational Biology Research Centre, Human Technopole, Milan, Italy
- Cancer Data Science Laboratory, Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy
| | - Jack Bartram
- Department of Haematology, Great Ormond Street Hospital for Children, London, UK
| | | | | | | | | | - Jane Chalker
- Specialist Integrated Haematological Malignancy Diagnostic Service - Acquired Genomics, Great Ormond Street Hospital for Children, London, UK
| | - Rebecca Thomas
- Department of Haematology, Great Ormond Street Hospital for Children, London, UK
| | - Luca Vago
- Research Unit of Immunogenetics, Leukemia Genomics and Immunobiology, IRCCS Hospital San Raffaele, Milan, Italy
| | | | - Giulio Caravagna
- Cancer Data Science Laboratory, Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy.
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
| |
Collapse
|