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Impact of Clinical Data Veracity on Cancer Genomic Research
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648686/ https://www.ncbi.nlm.nih.gov/pubmed/36255250 http://dx.doi.org/10.1093/jncics/pkac070 |
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author | Mehta, Sunali Wright, Deborah Black, Michael A Merrie, Arend Anjomshoaa, Ahmad Munro, Fran Reeve, Anthony McCall, John Print, Cristin |
author_facet | Mehta, Sunali Wright, Deborah Black, Michael A Merrie, Arend Anjomshoaa, Ahmad Munro, Fran Reeve, Anthony McCall, John Print, Cristin |
author_sort | Mehta, Sunali |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9648686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-96486862022-11-14 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 JNCI Cancer Spectr Brief Communications 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. Oxford University Press 2022-10-18 /pmc/articles/PMC9648686/ /pubmed/36255250 http://dx.doi.org/10.1093/jncics/pkac070 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Brief Communications Mehta, Sunali Wright, Deborah Black, Michael A Merrie, Arend Anjomshoaa, Ahmad Munro, Fran Reeve, Anthony McCall, John Print, Cristin Impact of Clinical Data Veracity on Cancer Genomic Research |
title | Impact of Clinical Data Veracity on Cancer Genomic Research |
title_full | Impact of Clinical Data Veracity on Cancer Genomic Research |
title_fullStr | Impact of Clinical Data Veracity on Cancer Genomic Research |
title_full_unstemmed | Impact of Clinical Data Veracity on Cancer Genomic Research |
title_short | Impact of Clinical Data Veracity on Cancer Genomic Research |
title_sort | impact of clinical data veracity on cancer genomic research |
topic | Brief Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648686/ https://www.ncbi.nlm.nih.gov/pubmed/36255250 http://dx.doi.org/10.1093/jncics/pkac070 |
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