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Clinical Pan-Cancer Assessment of Mismatch Repair Deficiency Using Tumor-Only, Targeted Next-Generation Sequencing
PURPOSE: Given regulatory approval of immune checkpoint inhibitors in patients with mismatch repair–deficient (MMR-D) cancers agnostic to tumor type, it has become important to characterize occurrence of MMR-D and develop cost-effective screening approaches. Using a next-generation sequencing (NGS)...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Clinical Oncology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445788/ https://www.ncbi.nlm.nih.gov/pubmed/35050773 http://dx.doi.org/10.1200/PO.20.00185 |
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author | Albayrak, Adem Garrido-Castro, Ana C. Giannakis, Marios Umeton, Renato Manam, Monica Devi Stover, Elizabeth H. Porter, Rebecca L. Johnson, Bruce E. Liaw, Kai-Li Amonkar, Mayur Church, Alanna J. Janeway, Katherine A. Nowak, Jonathan A. Sholl, Lynette Lin, Nancy U. Johnson, Jason M. |
author_facet | Albayrak, Adem Garrido-Castro, Ana C. Giannakis, Marios Umeton, Renato Manam, Monica Devi Stover, Elizabeth H. Porter, Rebecca L. Johnson, Bruce E. Liaw, Kai-Li Amonkar, Mayur Church, Alanna J. Janeway, Katherine A. Nowak, Jonathan A. Sholl, Lynette Lin, Nancy U. Johnson, Jason M. |
author_sort | Albayrak, Adem |
collection | PubMed |
description | PURPOSE: Given regulatory approval of immune checkpoint inhibitors in patients with mismatch repair–deficient (MMR-D) cancers agnostic to tumor type, it has become important to characterize occurrence of MMR-D and develop cost-effective screening approaches. Using a next-generation sequencing (NGS) panel (OncoPanel), we developed an algorithm to identify MMR-D frequency in tumor samples and applied it in a clinical setting with pathologist review. METHODS: To predict MMR-D, we adapted methods described previously for use in NGS panels, which assess patterns of single base-pair insertion or deletion events occurring in homopolymer regions. Tumors assayed with OncoPanel between July 2013 and July 2018 were included. For tumors tested after June 2017, sequencing results were presented to pathologists in real time for clinical MMR determination, in the context of tumor mutation burden, other mutational signatures, and clinical data. RESULTS: Of 20,301 tumors sequenced, 2.7% (553) were retrospectively classified as MMR-D by the algorithm. Of 4,404 samples with pathologist sign-out of MMR status, the algorithm classified 147 (3.3%) as MMR-D: in 116 cases, MMR-D was confirmed by a pathologist, five cases were overruled by the pathologist, and 26 were assessed as indeterminate. Overall, the highest frequencies of OncoPanel-inferred MMR-D were in endometrial (21%; 152/723), colorectal (9.7%; 169/1,744), and small bowel (9.3%; 9/97) cancers. When algorithm predictions were compared with historical MMR immunohistochemistry or polymerase chain reaction results in a set of 325 tumors sequenced before initiation of pathologist assessment, the overall sensitivity and specificity of the algorithm were 91.1% and 98.2%, respectively. CONCLUSION: We show that targeted, tumor-only NGS can be leveraged to determine MMR signatures across tumor types, suggesting that broader biomarker screening approaches may have clinical value. |
format | Online Article Text |
id | pubmed-10445788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Society of Clinical Oncology |
record_format | MEDLINE/PubMed |
spelling | pubmed-104457882023-08-24 Clinical Pan-Cancer Assessment of Mismatch Repair Deficiency Using Tumor-Only, Targeted Next-Generation Sequencing Albayrak, Adem Garrido-Castro, Ana C. Giannakis, Marios Umeton, Renato Manam, Monica Devi Stover, Elizabeth H. Porter, Rebecca L. Johnson, Bruce E. Liaw, Kai-Li Amonkar, Mayur Church, Alanna J. Janeway, Katherine A. Nowak, Jonathan A. Sholl, Lynette Lin, Nancy U. Johnson, Jason M. JCO Precis Oncol ORIGINAL REPORTS PURPOSE: Given regulatory approval of immune checkpoint inhibitors in patients with mismatch repair–deficient (MMR-D) cancers agnostic to tumor type, it has become important to characterize occurrence of MMR-D and develop cost-effective screening approaches. Using a next-generation sequencing (NGS) panel (OncoPanel), we developed an algorithm to identify MMR-D frequency in tumor samples and applied it in a clinical setting with pathologist review. METHODS: To predict MMR-D, we adapted methods described previously for use in NGS panels, which assess patterns of single base-pair insertion or deletion events occurring in homopolymer regions. Tumors assayed with OncoPanel between July 2013 and July 2018 were included. For tumors tested after June 2017, sequencing results were presented to pathologists in real time for clinical MMR determination, in the context of tumor mutation burden, other mutational signatures, and clinical data. RESULTS: Of 20,301 tumors sequenced, 2.7% (553) were retrospectively classified as MMR-D by the algorithm. Of 4,404 samples with pathologist sign-out of MMR status, the algorithm classified 147 (3.3%) as MMR-D: in 116 cases, MMR-D was confirmed by a pathologist, five cases were overruled by the pathologist, and 26 were assessed as indeterminate. Overall, the highest frequencies of OncoPanel-inferred MMR-D were in endometrial (21%; 152/723), colorectal (9.7%; 169/1,744), and small bowel (9.3%; 9/97) cancers. When algorithm predictions were compared with historical MMR immunohistochemistry or polymerase chain reaction results in a set of 325 tumors sequenced before initiation of pathologist assessment, the overall sensitivity and specificity of the algorithm were 91.1% and 98.2%, respectively. CONCLUSION: We show that targeted, tumor-only NGS can be leveraged to determine MMR signatures across tumor types, suggesting that broader biomarker screening approaches may have clinical value. American Society of Clinical Oncology 2020-09-21 /pmc/articles/PMC10445788/ /pubmed/35050773 http://dx.doi.org/10.1200/PO.20.00185 Text en © 2020 by American Society of Clinical Oncology https://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution Non-Commercial No Derivatives 4.0 License: https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | ORIGINAL REPORTS Albayrak, Adem Garrido-Castro, Ana C. Giannakis, Marios Umeton, Renato Manam, Monica Devi Stover, Elizabeth H. Porter, Rebecca L. Johnson, Bruce E. Liaw, Kai-Li Amonkar, Mayur Church, Alanna J. Janeway, Katherine A. Nowak, Jonathan A. Sholl, Lynette Lin, Nancy U. Johnson, Jason M. Clinical Pan-Cancer Assessment of Mismatch Repair Deficiency Using Tumor-Only, Targeted Next-Generation Sequencing |
title | Clinical Pan-Cancer Assessment of Mismatch Repair Deficiency Using Tumor-Only, Targeted Next-Generation Sequencing |
title_full | Clinical Pan-Cancer Assessment of Mismatch Repair Deficiency Using Tumor-Only, Targeted Next-Generation Sequencing |
title_fullStr | Clinical Pan-Cancer Assessment of Mismatch Repair Deficiency Using Tumor-Only, Targeted Next-Generation Sequencing |
title_full_unstemmed | Clinical Pan-Cancer Assessment of Mismatch Repair Deficiency Using Tumor-Only, Targeted Next-Generation Sequencing |
title_short | Clinical Pan-Cancer Assessment of Mismatch Repair Deficiency Using Tumor-Only, Targeted Next-Generation Sequencing |
title_sort | clinical pan-cancer assessment of mismatch repair deficiency using tumor-only, targeted next-generation sequencing |
topic | ORIGINAL REPORTS |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445788/ https://www.ncbi.nlm.nih.gov/pubmed/35050773 http://dx.doi.org/10.1200/PO.20.00185 |
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