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Variant allelic frequencies of driver mutations can identify gliomas with potentially false-negative MGMT promoter methylation results

MGMT promoter methylation testing is required for prognosis and predicting temozolomide response in gliomas. Accurate results depend on sufficient tumor cellularity, but histologic estimates of cellularity are subjective. We sought to determine whether driver mutation variant allelic frequency (VAF)...

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Autores principales: McCord, Matthew, Jamshidi, Pouya, Thirunavu, Vineeth, Santana-Santos, Lucas, Vormittag-Nocito, Erica, Dittman, David, Parker, Stephanie, Baczkowski, Joseph, Jennings, Lawrence, Walshon, Jordain, McCortney, Kathleen, Galbraith, Kristyn, Zhang, Hui, Lukas, Rimas V., Stupp, Roger, Dixit, Karan, Kumthekar, Priya, Heimberger, Amy B., Snuderl, Matija, Horbinski, Craig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623846/
https://www.ncbi.nlm.nih.gov/pubmed/37919784
http://dx.doi.org/10.1186/s40478-023-01680-0
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author McCord, Matthew
Jamshidi, Pouya
Thirunavu, Vineeth
Santana-Santos, Lucas
Vormittag-Nocito, Erica
Dittman, David
Parker, Stephanie
Baczkowski, Joseph
Jennings, Lawrence
Walshon, Jordain
McCortney, Kathleen
Galbraith, Kristyn
Zhang, Hui
Lukas, Rimas V.
Stupp, Roger
Dixit, Karan
Kumthekar, Priya
Heimberger, Amy B.
Snuderl, Matija
Horbinski, Craig
author_facet McCord, Matthew
Jamshidi, Pouya
Thirunavu, Vineeth
Santana-Santos, Lucas
Vormittag-Nocito, Erica
Dittman, David
Parker, Stephanie
Baczkowski, Joseph
Jennings, Lawrence
Walshon, Jordain
McCortney, Kathleen
Galbraith, Kristyn
Zhang, Hui
Lukas, Rimas V.
Stupp, Roger
Dixit, Karan
Kumthekar, Priya
Heimberger, Amy B.
Snuderl, Matija
Horbinski, Craig
author_sort McCord, Matthew
collection PubMed
description MGMT promoter methylation testing is required for prognosis and predicting temozolomide response in gliomas. Accurate results depend on sufficient tumor cellularity, but histologic estimates of cellularity are subjective. We sought to determine whether driver mutation variant allelic frequency (VAF) could serve as a more objective metric for cellularity and identify possible false-negative MGMT samples. Among 691 adult-type diffuse gliomas, MGMT promoter methylation was assessed by pyrosequencing (N = 445) or DNA methylation array (N = 246); VAFs of TERT and IDH driver mutations were assessed by next generation sequencing. MGMT results were analyzed in relation to VAF. By pyrosequencing, 56% of all gliomas with driver mutation VAF ≥ 0.325 had MGMT promoter methylation, versus only 37% with VAF < 0.325 (p < 0.0001). The mean MGMT promoter pyrosequencing score was 19.3% for samples with VAF VAF ≥ 0.325, versus 12.7% for samples with VAF < 0.325 (p < 0.0001). Optimal VAF cutoffs differed among glioma subtypes (IDH wildtype glioblastoma: 0.12–0.18, IDH mutant astrocytoma: ~0.33, IDH mutant and 1p/19q co-deleted oligodendroglioma: 0.3–0.4). Methylation array was more sensitive for MGMT promoter methylation at lower VAFs than pyrosequencing. Microscopic examination tended to overestimate tumor cellularity when VAF was low. Re-testing low-VAF cases with methylation array and droplet digital PCR (ddPCR) confirmed that a subset of them had originally been false-negative. We conclude that driver mutation VAF is a useful quality assurance metric when evaluating MGMT promoter methylation tests, as it can help identify possible false-negative cases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40478-023-01680-0.
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spelling pubmed-106238462023-11-04 Variant allelic frequencies of driver mutations can identify gliomas with potentially false-negative MGMT promoter methylation results McCord, Matthew Jamshidi, Pouya Thirunavu, Vineeth Santana-Santos, Lucas Vormittag-Nocito, Erica Dittman, David Parker, Stephanie Baczkowski, Joseph Jennings, Lawrence Walshon, Jordain McCortney, Kathleen Galbraith, Kristyn Zhang, Hui Lukas, Rimas V. Stupp, Roger Dixit, Karan Kumthekar, Priya Heimberger, Amy B. Snuderl, Matija Horbinski, Craig Acta Neuropathol Commun Research MGMT promoter methylation testing is required for prognosis and predicting temozolomide response in gliomas. Accurate results depend on sufficient tumor cellularity, but histologic estimates of cellularity are subjective. We sought to determine whether driver mutation variant allelic frequency (VAF) could serve as a more objective metric for cellularity and identify possible false-negative MGMT samples. Among 691 adult-type diffuse gliomas, MGMT promoter methylation was assessed by pyrosequencing (N = 445) or DNA methylation array (N = 246); VAFs of TERT and IDH driver mutations were assessed by next generation sequencing. MGMT results were analyzed in relation to VAF. By pyrosequencing, 56% of all gliomas with driver mutation VAF ≥ 0.325 had MGMT promoter methylation, versus only 37% with VAF < 0.325 (p < 0.0001). The mean MGMT promoter pyrosequencing score was 19.3% for samples with VAF VAF ≥ 0.325, versus 12.7% for samples with VAF < 0.325 (p < 0.0001). Optimal VAF cutoffs differed among glioma subtypes (IDH wildtype glioblastoma: 0.12–0.18, IDH mutant astrocytoma: ~0.33, IDH mutant and 1p/19q co-deleted oligodendroglioma: 0.3–0.4). Methylation array was more sensitive for MGMT promoter methylation at lower VAFs than pyrosequencing. Microscopic examination tended to overestimate tumor cellularity when VAF was low. Re-testing low-VAF cases with methylation array and droplet digital PCR (ddPCR) confirmed that a subset of them had originally been false-negative. We conclude that driver mutation VAF is a useful quality assurance metric when evaluating MGMT promoter methylation tests, as it can help identify possible false-negative cases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40478-023-01680-0. BioMed Central 2023-11-02 /pmc/articles/PMC10623846/ /pubmed/37919784 http://dx.doi.org/10.1186/s40478-023-01680-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
McCord, Matthew
Jamshidi, Pouya
Thirunavu, Vineeth
Santana-Santos, Lucas
Vormittag-Nocito, Erica
Dittman, David
Parker, Stephanie
Baczkowski, Joseph
Jennings, Lawrence
Walshon, Jordain
McCortney, Kathleen
Galbraith, Kristyn
Zhang, Hui
Lukas, Rimas V.
Stupp, Roger
Dixit, Karan
Kumthekar, Priya
Heimberger, Amy B.
Snuderl, Matija
Horbinski, Craig
Variant allelic frequencies of driver mutations can identify gliomas with potentially false-negative MGMT promoter methylation results
title Variant allelic frequencies of driver mutations can identify gliomas with potentially false-negative MGMT promoter methylation results
title_full Variant allelic frequencies of driver mutations can identify gliomas with potentially false-negative MGMT promoter methylation results
title_fullStr Variant allelic frequencies of driver mutations can identify gliomas with potentially false-negative MGMT promoter methylation results
title_full_unstemmed Variant allelic frequencies of driver mutations can identify gliomas with potentially false-negative MGMT promoter methylation results
title_short Variant allelic frequencies of driver mutations can identify gliomas with potentially false-negative MGMT promoter methylation results
title_sort variant allelic frequencies of driver mutations can identify gliomas with potentially false-negative mgmt promoter methylation results
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623846/
https://www.ncbi.nlm.nih.gov/pubmed/37919784
http://dx.doi.org/10.1186/s40478-023-01680-0
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