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A Novel Next-Generation Sequencing Approach to Detecting Microsatellite Instability and Pan-Tumor Characterization of 1000 Microsatellite Instability–High Cases in 67,000 Patient Samples

Microsatellite instability (MSI) is an important biomarker for predicting response to immune checkpoint inhibitor therapy, as emphasized by the recent checkpoint inhibitor approval for MSI-high (MSI-H) solid tumors. Herein, we describe and validate a novel method for determining MSI status from a ne...

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Autores principales: Trabucco, Sally E., Gowen, Kyle, Maund, Sophia L., Sanford, Eric, Fabrizio, David A., Hall, Michael J., Yakirevich, Evgeny, Gregg, Jeffrey P., Stephens, Phil J., Frampton, Garrett M., Hegde, Priti S., Miller, Vincent A., Ross, Jeffrey S., Hartmaier, Ryan J., Huang, Shih-Min A., Sun, James X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Investigative Pathology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807551/
https://www.ncbi.nlm.nih.gov/pubmed/31445211
http://dx.doi.org/10.1016/j.jmoldx.2019.06.011
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author Trabucco, Sally E.
Gowen, Kyle
Maund, Sophia L.
Sanford, Eric
Fabrizio, David A.
Hall, Michael J.
Yakirevich, Evgeny
Gregg, Jeffrey P.
Stephens, Phil J.
Frampton, Garrett M.
Hegde, Priti S.
Miller, Vincent A.
Ross, Jeffrey S.
Hartmaier, Ryan J.
Huang, Shih-Min A.
Sun, James X.
author_facet Trabucco, Sally E.
Gowen, Kyle
Maund, Sophia L.
Sanford, Eric
Fabrizio, David A.
Hall, Michael J.
Yakirevich, Evgeny
Gregg, Jeffrey P.
Stephens, Phil J.
Frampton, Garrett M.
Hegde, Priti S.
Miller, Vincent A.
Ross, Jeffrey S.
Hartmaier, Ryan J.
Huang, Shih-Min A.
Sun, James X.
author_sort Trabucco, Sally E.
collection PubMed
description Microsatellite instability (MSI) is an important biomarker for predicting response to immune checkpoint inhibitor therapy, as emphasized by the recent checkpoint inhibitor approval for MSI-high (MSI-H) solid tumors. Herein, we describe and validate a novel method for determining MSI status from a next-generation sequencing comprehensive genomic profiling assay using formalin-fixed, paraffin-embedded samples. This method is 97% (65/67) concordant with current standards, PCR and immunohistochemistry. We further apply this method to >67,000 patient tumor samples to identify genes and pathways that are enriched in MSI-stable or MSI-H tumor groups. Data show that although rare in tumors other than colorectal and endometrial carcinomas, MSI-H samples are present in many tumor types. Furthermore, the large sample set revealed that MSI-H tumors selectively share alterations in genes across multiple common pathways, including WNT, phosphatidylinositol 3-kinase, and NOTCH. Last, MSI is sufficient, but not necessary, for a tumor to have elevated tumor mutation burden. Therefore, MSI can be determined from comprehensive genomic profiling with high accuracy, allowing for efficient MSI-H detection across all tumor types, especially those in which routine use of immunohistochemistry or PCR-based assays would be impractical because of a rare incidence of MSI. MSI-H tumors are enriched in alterations in specific signaling pathways, providing a rationale for investigating directed immune checkpoint inhibitor therapies in combination with pathway-targeted therapies.
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spelling pubmed-78075512021-01-29 A Novel Next-Generation Sequencing Approach to Detecting Microsatellite Instability and Pan-Tumor Characterization of 1000 Microsatellite Instability–High Cases in 67,000 Patient Samples Trabucco, Sally E. Gowen, Kyle Maund, Sophia L. Sanford, Eric Fabrizio, David A. Hall, Michael J. Yakirevich, Evgeny Gregg, Jeffrey P. Stephens, Phil J. Frampton, Garrett M. Hegde, Priti S. Miller, Vincent A. Ross, Jeffrey S. Hartmaier, Ryan J. Huang, Shih-Min A. Sun, James X. J Mol Diagn Regular Article Microsatellite instability (MSI) is an important biomarker for predicting response to immune checkpoint inhibitor therapy, as emphasized by the recent checkpoint inhibitor approval for MSI-high (MSI-H) solid tumors. Herein, we describe and validate a novel method for determining MSI status from a next-generation sequencing comprehensive genomic profiling assay using formalin-fixed, paraffin-embedded samples. This method is 97% (65/67) concordant with current standards, PCR and immunohistochemistry. We further apply this method to >67,000 patient tumor samples to identify genes and pathways that are enriched in MSI-stable or MSI-H tumor groups. Data show that although rare in tumors other than colorectal and endometrial carcinomas, MSI-H samples are present in many tumor types. Furthermore, the large sample set revealed that MSI-H tumors selectively share alterations in genes across multiple common pathways, including WNT, phosphatidylinositol 3-kinase, and NOTCH. Last, MSI is sufficient, but not necessary, for a tumor to have elevated tumor mutation burden. Therefore, MSI can be determined from comprehensive genomic profiling with high accuracy, allowing for efficient MSI-H detection across all tumor types, especially those in which routine use of immunohistochemistry or PCR-based assays would be impractical because of a rare incidence of MSI. MSI-H tumors are enriched in alterations in specific signaling pathways, providing a rationale for investigating directed immune checkpoint inhibitor therapies in combination with pathway-targeted therapies. American Society for Investigative Pathology 2019-11 /pmc/articles/PMC7807551/ /pubmed/31445211 http://dx.doi.org/10.1016/j.jmoldx.2019.06.011 Text en © 2019 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Trabucco, Sally E.
Gowen, Kyle
Maund, Sophia L.
Sanford, Eric
Fabrizio, David A.
Hall, Michael J.
Yakirevich, Evgeny
Gregg, Jeffrey P.
Stephens, Phil J.
Frampton, Garrett M.
Hegde, Priti S.
Miller, Vincent A.
Ross, Jeffrey S.
Hartmaier, Ryan J.
Huang, Shih-Min A.
Sun, James X.
A Novel Next-Generation Sequencing Approach to Detecting Microsatellite Instability and Pan-Tumor Characterization of 1000 Microsatellite Instability–High Cases in 67,000 Patient Samples
title A Novel Next-Generation Sequencing Approach to Detecting Microsatellite Instability and Pan-Tumor Characterization of 1000 Microsatellite Instability–High Cases in 67,000 Patient Samples
title_full A Novel Next-Generation Sequencing Approach to Detecting Microsatellite Instability and Pan-Tumor Characterization of 1000 Microsatellite Instability–High Cases in 67,000 Patient Samples
title_fullStr A Novel Next-Generation Sequencing Approach to Detecting Microsatellite Instability and Pan-Tumor Characterization of 1000 Microsatellite Instability–High Cases in 67,000 Patient Samples
title_full_unstemmed A Novel Next-Generation Sequencing Approach to Detecting Microsatellite Instability and Pan-Tumor Characterization of 1000 Microsatellite Instability–High Cases in 67,000 Patient Samples
title_short A Novel Next-Generation Sequencing Approach to Detecting Microsatellite Instability and Pan-Tumor Characterization of 1000 Microsatellite Instability–High Cases in 67,000 Patient Samples
title_sort novel next-generation sequencing approach to detecting microsatellite instability and pan-tumor characterization of 1000 microsatellite instability–high cases in 67,000 patient samples
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807551/
https://www.ncbi.nlm.nih.gov/pubmed/31445211
http://dx.doi.org/10.1016/j.jmoldx.2019.06.011
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