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Methylated markers accurately distinguish primary central nervous system lymphomas (PCNSL) from other CNS tumors
BACKGROUND: Definitive diagnosis of primary central nervous system lymphoma (PCNSL) requires invasive surgical brain biopsy, causing treatment delays. In this paper, we identified and validated tumor-specific markers that can distinguish PCNSL from other CNS tumors in tissues. In a pilot study, we t...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097855/ https://www.ncbi.nlm.nih.gov/pubmed/33952317 http://dx.doi.org/10.1186/s13148-021-01091-9 |
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author | Downs, Bradley M. Ding, Wanjun Cope, Leslie M. Umbricht, Christopher B. Li, Wenge He, Huihua Ke, Xiaokang Holdhoff, Matthias Bettegowda, Chetan Tao, Weiping Sukumar, Saraswati |
author_facet | Downs, Bradley M. Ding, Wanjun Cope, Leslie M. Umbricht, Christopher B. Li, Wenge He, Huihua Ke, Xiaokang Holdhoff, Matthias Bettegowda, Chetan Tao, Weiping Sukumar, Saraswati |
author_sort | Downs, Bradley M. |
collection | PubMed |
description | BACKGROUND: Definitive diagnosis of primary central nervous system lymphoma (PCNSL) requires invasive surgical brain biopsy, causing treatment delays. In this paper, we identified and validated tumor-specific markers that can distinguish PCNSL from other CNS tumors in tissues. In a pilot study, we tested these newly identified markers in plasma. RESULTS: The Methylation Outlier Detector program was used to identify markers in TCGA dataset of 48 diffuse large B-cell lymphoma (DLBCL) and 656 glioblastomas and lower-grade gliomas. Eight methylated markers clearly distinguished DLBCL from gliomas. Marker performance was verified (ROC-AUC of ≥ 0.989) in samples from several GEO datasets (95 PCNSL; 2112 other primary CNS tumors of 11 types). Next, we developed a novel, efficient assay called Tailed Amplicon Multiplexed-Methylation-Specific PCR (TAM-MSP), which uses two of the methylation markers, cg0504 and SCG3 triplexed with ACTB. FFPE tissue sections (25 cases each) of PCNSL and eight types of other primary CNS tumors were analyzed using TAM-MSP. TAM-MSP distinguished PCNSL from the other primary CNS tumors with 100% accuracy (AUC = 1.00, 95% CI 0.95–1.00, P < 0.001). The TAM-MSP assay also detected as few as 5 copies of fully methylated plasma DNA spiked into 0.5 ml of healthy plasma. In a pilot study of plasma from 15 PCNSL, 5 other CNS tumors and 6 healthy individuals, methylation in cg0504 and SCG3 was detectable in 3/15 PCNSL samples (20%). CONCLUSION: The Methylation Outlier Detector program identified methylated markers that distinguish PCNSL from other CNS tumors with accuracy. The high level of accuracy achieved by these markers was validated in tissues by a novel method, TAM-MSP. These studies lay a strong foundation for a liquid biopsy-based test to detect PCNSL-specific circulating tumor DNA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01091-9. |
format | Online Article Text |
id | pubmed-8097855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80978552021-05-05 Methylated markers accurately distinguish primary central nervous system lymphomas (PCNSL) from other CNS tumors Downs, Bradley M. Ding, Wanjun Cope, Leslie M. Umbricht, Christopher B. Li, Wenge He, Huihua Ke, Xiaokang Holdhoff, Matthias Bettegowda, Chetan Tao, Weiping Sukumar, Saraswati Clin Epigenetics Research BACKGROUND: Definitive diagnosis of primary central nervous system lymphoma (PCNSL) requires invasive surgical brain biopsy, causing treatment delays. In this paper, we identified and validated tumor-specific markers that can distinguish PCNSL from other CNS tumors in tissues. In a pilot study, we tested these newly identified markers in plasma. RESULTS: The Methylation Outlier Detector program was used to identify markers in TCGA dataset of 48 diffuse large B-cell lymphoma (DLBCL) and 656 glioblastomas and lower-grade gliomas. Eight methylated markers clearly distinguished DLBCL from gliomas. Marker performance was verified (ROC-AUC of ≥ 0.989) in samples from several GEO datasets (95 PCNSL; 2112 other primary CNS tumors of 11 types). Next, we developed a novel, efficient assay called Tailed Amplicon Multiplexed-Methylation-Specific PCR (TAM-MSP), which uses two of the methylation markers, cg0504 and SCG3 triplexed with ACTB. FFPE tissue sections (25 cases each) of PCNSL and eight types of other primary CNS tumors were analyzed using TAM-MSP. TAM-MSP distinguished PCNSL from the other primary CNS tumors with 100% accuracy (AUC = 1.00, 95% CI 0.95–1.00, P < 0.001). The TAM-MSP assay also detected as few as 5 copies of fully methylated plasma DNA spiked into 0.5 ml of healthy plasma. In a pilot study of plasma from 15 PCNSL, 5 other CNS tumors and 6 healthy individuals, methylation in cg0504 and SCG3 was detectable in 3/15 PCNSL samples (20%). CONCLUSION: The Methylation Outlier Detector program identified methylated markers that distinguish PCNSL from other CNS tumors with accuracy. The high level of accuracy achieved by these markers was validated in tissues by a novel method, TAM-MSP. These studies lay a strong foundation for a liquid biopsy-based test to detect PCNSL-specific circulating tumor DNA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01091-9. BioMed Central 2021-05-05 /pmc/articles/PMC8097855/ /pubmed/33952317 http://dx.doi.org/10.1186/s13148-021-01091-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Downs, Bradley M. Ding, Wanjun Cope, Leslie M. Umbricht, Christopher B. Li, Wenge He, Huihua Ke, Xiaokang Holdhoff, Matthias Bettegowda, Chetan Tao, Weiping Sukumar, Saraswati Methylated markers accurately distinguish primary central nervous system lymphomas (PCNSL) from other CNS tumors |
title | Methylated markers accurately distinguish primary central nervous system lymphomas (PCNSL) from other CNS tumors |
title_full | Methylated markers accurately distinguish primary central nervous system lymphomas (PCNSL) from other CNS tumors |
title_fullStr | Methylated markers accurately distinguish primary central nervous system lymphomas (PCNSL) from other CNS tumors |
title_full_unstemmed | Methylated markers accurately distinguish primary central nervous system lymphomas (PCNSL) from other CNS tumors |
title_short | Methylated markers accurately distinguish primary central nervous system lymphomas (PCNSL) from other CNS tumors |
title_sort | methylated markers accurately distinguish primary central nervous system lymphomas (pcnsl) from other cns tumors |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097855/ https://www.ncbi.nlm.nih.gov/pubmed/33952317 http://dx.doi.org/10.1186/s13148-021-01091-9 |
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