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Impact of Clinical Data Veracity on Cancer Genomic Research.
Mehta, Sunali; Wright, Deborah; Black, Michael A; Merrie, Arend; Anjomshoaa, Ahmad; Munro, Fran; Reeve, Anthony; McCall, John; Print, Cristin.
Afiliação
  • Mehta S; Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand.
  • Wright D; Pathology Department, University of Otago, Dunedin, New Zealand.
  • Black MA; Department of Surgical Sciences, University of Otago, Dunedin, New Zealand.
  • Merrie A; Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand.
  • Anjomshoaa A; Department of Biochemistry, University of Otago, Dunedin, New Zealand.
  • Munro F; Department of Surgery, University of Auckland, Auckland, New Zealand.
  • Reeve A; Medical Genetics Division, Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran.
  • McCall J; Department of Surgical Sciences, University of Otago, Dunedin, New Zealand.
  • Print C; Department of Biochemistry, University of Otago, Dunedin, New Zealand.
JNCI Cancer Spectr ; 6(6)2022 11 01.
Article em En | MEDLINE | ID: mdl-36255250
ABSTRACT
Genomic analysis of tumors is transforming our understanding of cancer. However, although a great deal of attention is paid to the accuracy of the cancer genomic data itself, less attention has been paid to the accuracy of the associated clinical information that renders the genomic data useful for research. In this brief communication, we suggest that omissions and errors in clinical annotations have a major impact on the interpretation of cancer genomic data. We describe our discovery of annotation omissions and errors when reviewing an already carefully annotated colorectal cancer gene expression dataset from our laboratory. The potential importance of clinical annotation omissions and errors was then explored using simulation analyses with an independent genomic dataset. We suggest that the completeness and veracity of clinical annotations accompanying cancer genomic data require renewed focus by the oncology research community, when planning new collections and when interpreting existing cancer genomic data.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genômica / Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genômica / Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article