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Sensitive Detection of Cell-Free Tumour DNA Using Optimised Targeted Sequencing Can Predict Prognosis in Gastro-Oesophageal Cancer.
Wallander, Karin; Haider, Zahra; Jeggari, Ashwini; Foroughi-Asl, Hassan; Gellerbring, Anna; Lyander, Anna; Chozhan, Athithyan; Cuba Gyllensten, Ollanta; Hägglund, Moa; Wirta, Valtteri; Nordenskjöld, Magnus; Lindblad, Mats; Tham, Emma.
Affiliation
  • Wallander K; Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.
  • Haider Z; Department of Clinical Genetics, Karolinska University Hospital, 17164 Stockholm, Sweden.
  • Jeggari A; Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.
  • Foroughi-Asl H; Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17165 Stockholm, Sweden.
  • Gellerbring A; Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.
  • Lyander A; Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17165 Stockholm, Sweden.
  • Chozhan A; Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17165 Stockholm, Sweden.
  • Cuba Gyllensten O; Science for Life Laboratory, School of Chemistry, Biotechnology and Health, Royal Institute of Technology, 10044 Stockholm, Sweden.
  • Hägglund M; Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.
  • Wirta V; Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden.
  • Nordenskjöld M; Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17165 Stockholm, Sweden.
  • Lindblad M; Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17165 Stockholm, Sweden.
  • Tham E; Science for Life Laboratory, School of Chemistry, Biotechnology and Health, Royal Institute of Technology, 10044 Stockholm, Sweden.
Cancers (Basel) ; 15(4)2023 Feb 11.
Article in En | MEDLINE | ID: mdl-36831507
ABSTRACT
In this longitudinal study, cell-free tumour DNA (a liquid biopsy) from plasma was explored as a prognostic biomarker for gastro-oesophageal cancer. Both tumour-informed and tumour-agnostic approaches for plasma variant filtering were evaluated in 47 participants. This was possible through sequencing of DNA from tissue biopsies from all participants and cell-free DNA from plasma sampled before and after surgery (n = 42), as well as DNA from white blood cells (n = 21) using a custom gene panel with and without unique molecular identifiers (UMIs). A subset of the plasma samples (n = 12) was also assayed with targeted droplet digital PCR (ddPCR). In 17/31 (55%) diagnostic plasma samples, tissue-verified cancer-associated variants could be detected by the gene panel. In the tumour-agnostic approach, 26 participants (59%) had cancer-associated variants, and UMIs were necessary to filter the true variants from the technical artefacts. Additionally, clonal haematopoietic variants could be excluded using the matched white blood cells or follow-up plasma samples. ddPCR detected its targets in 10/12 (83%) and provided an ultra-sensitive method for follow-up. Detectable cancer-associated variants in plasma correlated to a shorter overall survival and shorter time to progression, with a significant correlation for the tumour-informed approaches. In summary, liquid biopsy gene panel sequencing using a tumour-agnostic approach can be applied to all patients regardless of the presence of a tissue biopsy, although this requires UMIs and the exclusion of clonal haematopoietic variants. However, if sequencing data from tumour biopsies are available, a tumour-informed approach improves the value of cell-free tumour DNA as a negative prognostic biomarker in gastro-oesophageal cancer patients.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Cancers (Basel) Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Cancers (Basel) Year: 2023 Document type: Article Affiliation country: