Cargando…

Inflation of tumor mutation burden by tumor-only sequencing in under-represented groups

With the recent FDA approval of tumor mutational burden-high (TMB-H) status as a biomarker for treatment with a PD-1 inhibitor regardless of tumor type, accurate assessment of patient-specific TMB is more critical now more than ever. Using paired tumor and germline exome sequencing data from 701 pat...

Descripción completa

Detalles Bibliográficos
Autores principales: Asmann, Yan W., Parikh, Kaushal, Bergsagel, P. Leif, Dong, Haidong, Adjei, Alex A., Borad, Mitesh J., Mansfield, Aaron S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979755/
https://www.ncbi.nlm.nih.gov/pubmed/33742076
http://dx.doi.org/10.1038/s41698-021-00164-5
_version_ 1783667329696006144
author Asmann, Yan W.
Parikh, Kaushal
Bergsagel, P. Leif
Dong, Haidong
Adjei, Alex A.
Borad, Mitesh J.
Mansfield, Aaron S.
author_facet Asmann, Yan W.
Parikh, Kaushal
Bergsagel, P. Leif
Dong, Haidong
Adjei, Alex A.
Borad, Mitesh J.
Mansfield, Aaron S.
author_sort Asmann, Yan W.
collection PubMed
description With the recent FDA approval of tumor mutational burden-high (TMB-H) status as a biomarker for treatment with a PD-1 inhibitor regardless of tumor type, accurate assessment of patient-specific TMB is more critical now more than ever. Using paired tumor and germline exome sequencing data from 701 patients newly diagnosed with multiple myeloma, including 575 self-reported White patients and 126 self-reported Black patients, we observed that compared to the gold standard of filtering germline variants with patient-paired germline sequencing data, TMB estimates were significantly higher in both Black and White patients when using public databases for filtering non-somatic mutations; however, TMB was more significantly inflated in Black patients compared to White patients. TMB as a biomarker for patient selection to receive immune checkpoint inhibitors (ICIs) therapy without patient-paired germline sequencing may introduce racial bias due to the under-representation of minority groups in public databases.
format Online
Article
Text
id pubmed-7979755
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-79797552021-04-12 Inflation of tumor mutation burden by tumor-only sequencing in under-represented groups Asmann, Yan W. Parikh, Kaushal Bergsagel, P. Leif Dong, Haidong Adjei, Alex A. Borad, Mitesh J. Mansfield, Aaron S. NPJ Precis Oncol Brief Communication With the recent FDA approval of tumor mutational burden-high (TMB-H) status as a biomarker for treatment with a PD-1 inhibitor regardless of tumor type, accurate assessment of patient-specific TMB is more critical now more than ever. Using paired tumor and germline exome sequencing data from 701 patients newly diagnosed with multiple myeloma, including 575 self-reported White patients and 126 self-reported Black patients, we observed that compared to the gold standard of filtering germline variants with patient-paired germline sequencing data, TMB estimates were significantly higher in both Black and White patients when using public databases for filtering non-somatic mutations; however, TMB was more significantly inflated in Black patients compared to White patients. TMB as a biomarker for patient selection to receive immune checkpoint inhibitors (ICIs) therapy without patient-paired germline sequencing may introduce racial bias due to the under-representation of minority groups in public databases. Nature Publishing Group UK 2021-03-19 /pmc/articles/PMC7979755/ /pubmed/33742076 http://dx.doi.org/10.1038/s41698-021-00164-5 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Brief Communication
Asmann, Yan W.
Parikh, Kaushal
Bergsagel, P. Leif
Dong, Haidong
Adjei, Alex A.
Borad, Mitesh J.
Mansfield, Aaron S.
Inflation of tumor mutation burden by tumor-only sequencing in under-represented groups
title Inflation of tumor mutation burden by tumor-only sequencing in under-represented groups
title_full Inflation of tumor mutation burden by tumor-only sequencing in under-represented groups
title_fullStr Inflation of tumor mutation burden by tumor-only sequencing in under-represented groups
title_full_unstemmed Inflation of tumor mutation burden by tumor-only sequencing in under-represented groups
title_short Inflation of tumor mutation burden by tumor-only sequencing in under-represented groups
title_sort inflation of tumor mutation burden by tumor-only sequencing in under-represented groups
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979755/
https://www.ncbi.nlm.nih.gov/pubmed/33742076
http://dx.doi.org/10.1038/s41698-021-00164-5
work_keys_str_mv AT asmannyanw inflationoftumormutationburdenbytumoronlysequencinginunderrepresentedgroups
AT parikhkaushal inflationoftumormutationburdenbytumoronlysequencinginunderrepresentedgroups
AT bergsagelpleif inflationoftumormutationburdenbytumoronlysequencinginunderrepresentedgroups
AT donghaidong inflationoftumormutationburdenbytumoronlysequencinginunderrepresentedgroups
AT adjeialexa inflationoftumormutationburdenbytumoronlysequencinginunderrepresentedgroups
AT boradmiteshj inflationoftumormutationburdenbytumoronlysequencinginunderrepresentedgroups
AT mansfieldaarons inflationoftumormutationburdenbytumoronlysequencinginunderrepresentedgroups