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The BC Generations Project as a Tumor Tissue Resource for Cancer Research.
Zanif, Umaimah; Chu, Jessica; Simkin, Jonathan; Dummer, Trevor; Woods, Ryan; Belanger, Eric; Bhatti, Parveen.
Afiliação
  • Zanif U; Cancer Control Research, BC Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
  • Chu J; Cancer Control Research, BC Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
  • Simkin J; Cancer Control Research, BC Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
  • Dummer T; School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
  • Woods R; School of Population and Public Health, Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
  • Belanger E; Cancer Control Research, BC Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
  • Bhatti P; Faculty of Health Sciences, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
Curr Oncol ; 29(2): 1262-1268, 2022 02 19.
Article em En | MEDLINE | ID: mdl-35200606
Population-based cohort studies can be a resource for tumor specimens, annotated with demographic, lifestyle, and health history data, that support innovative studies of cancer. Our aim was to establish and test a process for accessing tumor samples, held at pathology laboratories around British Columbia (BC), for participants of the BC Generations Project (BCGP). Through the BC Cancer Registry, we identified pathology reports for 1100 (93%) of the 1180 incident solid cancer cases diagnosed in BCGP as of 2019. Using manually abstracted data from the reports, we successfully retrieved 183 (92%) of the 200 formalin-fixed, paraffin-embedded (FFPE) blocks (breast, lung, bladder, and pancreas cancer cases) that we requested from pathology laboratories. No important differences in retrieval rates by cancer site, sample location (Greater Vancouver vs. Outside Greater Vancouver), sample type (biopsy vs. excision) or year of diagnosis were identified. A text mining solution recently implemented by the Registry will allow us to automate the process for data abstraction and should capture pathology reports for 100% of all newly diagnosed BCGP cancer cases moving forward. This will further enhance the utility of BCGP as a high-quality tumor tissue research resource.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article