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Allele-informed copy number evaluation of plasma DNA samples from metastatic prostate cancer patients: the PCF_SELECT consortium assay.
Orlando, Francesco; Romanel, Alessandro; Trujillo, Blanca; Sigouros, Michael; Wetterskog, Daniel; Quaini, Orsetta; Leone, Gianmarco; Xiang, Jenny Z; Wingate, Anna; Tagawa, Scott; Jayaram, Anuradha; Linch, Mark; Jamal-Hanjani, Mariam; Swanton, Charles; Rubin, Mark A; Wyatt, Alexander W; Beltran, Himisha; Attard, Gerhardt; Demichelis, Francesca.
Afiliação
  • Orlando F; Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
  • Romanel A; Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
  • Trujillo B; UCL Cancer Institute, University College London, London, UK.
  • Sigouros M; Englander Institute for Precision Medicine, Presbyterian Hospital, Weill Cornell Medicine, NY, USA.
  • Wetterskog D; UCL Cancer Institute, University College London, London, UK.
  • Quaini O; Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
  • Leone G; UCL Cancer Institute, University College London, London, UK.
  • Xiang JZ; The Genomics Resources Core Facility, Department of Microbiology and Immunology, Weill Cornell Medicine. NY, NY, USA.
  • Wingate A; UCL Cancer Institute, University College London, London, UK.
  • Tagawa S; Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine. NY, NY, USA.
  • Jayaram A; UCL Cancer Institute, University College London, London, UK.
  • Linch M; UCL Cancer Institute, University College London, London, UK.
  • Jamal-Hanjani M; Department of Medical Oncology, University College London Hospitals, London NW1 2BU, UK.
  • Swanton C; UCL Cancer Institute, University College London, London, UK.
  • Rubin MA; Department for BioMedical Research and Bern Center of Precision Medicine, University of Bern and Inselspital, Bern, Switzerland.
  • Wyatt AW; Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
  • Beltran H; Englander Institute for Precision Medicine, Presbyterian Hospital, Weill Cornell Medicine, NY, USA.
  • Attard G; UCL Cancer Institute, University College London, London, UK.
  • Demichelis F; Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
NAR Cancer ; 4(2): zcac016, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35664542
ABSTRACT
Sequencing of cell-free DNA (cfDNA) in cancer patients' plasma offers a minimally-invasive solution to detect tumor cell genomic alterations to aid real-time clinical decision-making. The reliability of copy number detection decreases at lower cfDNA tumor fractions, limiting utility at earlier stages of the disease. To test a novel strategy for detection of allelic imbalance, we developed a prostate cancer bespoke assay, PCF_SELECT, that includes an innovative sequencing panel covering ∼25 000 high minor allele frequency SNPs and tailored analytical solutions to enable allele-informed evaluation. First, we assessed it on plasma samples from 50 advanced prostate cancer patients. We then confirmed improved detection of genomic alterations in samples with <10% tumor fractions when compared against an independent assay. Finally, we applied PCF_SELECT to serial plasma samples intensively collected from three patients previously characterized as harboring alterations involving DNA repair genes and consequently offered PARP inhibition. We identified more extensive pan-genome allelic imbalance than previously recognized in prostate cancer. We confirmed high sensitivity detection of BRCA2 allelic imbalance with decreasing tumor fractions resultant from treatment and identified complex ATM genomic states that may be incongruent with protein losses. Overall, we present a framework for sensitive detection of allele-specific copy number changes in cfDNA.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article