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A Validated Highly Sensitive Microsatellite Instability Assay Accurately Identifies Individuals Harboring Biallelic Germline PMS2 Pathogenic Variants in Constitutional Mismatch Repair Deficiency
Constitutional mismatch repair deficiency (CMMRD) is a rare and extraordinarily penetrant childhood-onset cancer predisposition syndrome. Genetic diagnosis is often hampered by the identification of mismatch repair (MMR) variants of unknown significance and difficulties in PMS2 analysis, the most fr...
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Published in: | Clinical chemistry (Baltimore, Md.) Md.), 2024-05, Vol.70 (5), p.737-746 |
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creator | Marín, Fátima Canet-Hermida, Júlia Bianchi, Vanessa Chung, Jiil Wimmer, Katharina Foulkes, William Pérez-Alonso, Vanesa Domínguez-Pinilla, Nerea Sábado, Constantino Vázquez-Gómez, Felisa Molinés, Antonio Fioravantti, Victoria Carrasco, Estela Stengs, Lucie Edwards, Melissa Negm, Logine Das, Anirban Aronson, Melyssa Pastor, Ángela Rueda, Daniel González-Granado, Luis Ignacio Tabori, Uri Capellá, Gabriel Pineda, Marta |
description | Constitutional mismatch repair deficiency (CMMRD) is a rare and extraordinarily penetrant childhood-onset cancer predisposition syndrome. Genetic diagnosis is often hampered by the identification of mismatch repair (MMR) variants of unknown significance and difficulties in PMS2 analysis, the most frequently mutated gene in CMMRD. We present the validation of a robust functional tool for CMMRD diagnosis and the characterization of microsatellite instability (MSI) patterns in blood and tumors.
The highly sensitive assessment of MSI (hs-MSI) was tested on a blinded cohort of 66 blood samples and 24 CMMRD tumor samples. Hs-MSI scores were compared with low-pass genomic instability scores (LOGIC/MMRDness). The correlation of hs-MSI scores in blood with age of cancer onset and the distribution of insertion-deletion (indel) variants in microsatellites were analyzed in a series of 169 individuals (n = 68 CMMRD, n = 124 non-CMMRD).
Hs-MSI achieved high accuracy in the identification of CMMRD in blood (sensitivity 98.5% and specificity 100%) and detected MSI in CMMRD-associated tumors. Hs-MSI had a strong positive correlation with whole low-pass genomic instability LOGIC scores (r = 0.89, P = 2.2e-15 in blood and r = 0.82, P = 7e-3 in tumors). Indel distribution identified PMS2 pathogenic variant (PV) carriers from other biallelic MMR gene PV carriers with an accuracy of 0.997. Higher hs-MSI scores correlated with younger age at diagnosis of the first tumor (r = -0.43, P = 0.011).
Our study confirms the accuracy of the hs-MSI assay as ancillary testing for CMMRD diagnosis, which can also characterize MSI patterns in CMMRD-associated cancers. Hs-MSI is a powerful tool to pinpoint PMS2 as the affected germline gene and thus potentially personalize cancer risk. |
doi_str_mv | 10.1093/clinchem/hvae027 |
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The highly sensitive assessment of MSI (hs-MSI) was tested on a blinded cohort of 66 blood samples and 24 CMMRD tumor samples. Hs-MSI scores were compared with low-pass genomic instability scores (LOGIC/MMRDness). The correlation of hs-MSI scores in blood with age of cancer onset and the distribution of insertion-deletion (indel) variants in microsatellites were analyzed in a series of 169 individuals (n = 68 CMMRD, n = 124 non-CMMRD).
Hs-MSI achieved high accuracy in the identification of CMMRD in blood (sensitivity 98.5% and specificity 100%) and detected MSI in CMMRD-associated tumors. Hs-MSI had a strong positive correlation with whole low-pass genomic instability LOGIC scores (r = 0.89, P = 2.2e-15 in blood and r = 0.82, P = 7e-3 in tumors). Indel distribution identified PMS2 pathogenic variant (PV) carriers from other biallelic MMR gene PV carriers with an accuracy of 0.997. Higher hs-MSI scores correlated with younger age at diagnosis of the first tumor (r = -0.43, P = 0.011).
Our study confirms the accuracy of the hs-MSI assay as ancillary testing for CMMRD diagnosis, which can also characterize MSI patterns in CMMRD-associated cancers. Hs-MSI is a powerful tool to pinpoint PMS2 as the affected germline gene and thus potentially personalize cancer risk.</description><identifier>ISSN: 0009-9147</identifier><identifier>EISSN: 1530-8561</identifier><identifier>DOI: 10.1093/clinchem/hvae027</identifier><identifier>PMID: 38531023</identifier><language>eng</language><publisher>England</publisher><ispartof>Clinical chemistry (Baltimore, Md.), 2024-05, Vol.70 (5), p.737-746</ispartof><rights>Association for Diagnostics & Laboratory Medicine 2024.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c294t-95b50958242010a74784c66223f0267c2fa3635a85f4770e20ec5dfb287997743</cites><orcidid>0000-0001-7427-4651 ; 0009-0007-5125-398X ; 0000-0002-5019-2683</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38531023$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Marín, Fátima</creatorcontrib><creatorcontrib>Canet-Hermida, Júlia</creatorcontrib><creatorcontrib>Bianchi, Vanessa</creatorcontrib><creatorcontrib>Chung, Jiil</creatorcontrib><creatorcontrib>Wimmer, Katharina</creatorcontrib><creatorcontrib>Foulkes, William</creatorcontrib><creatorcontrib>Pérez-Alonso, Vanesa</creatorcontrib><creatorcontrib>Domínguez-Pinilla, Nerea</creatorcontrib><creatorcontrib>Sábado, Constantino</creatorcontrib><creatorcontrib>Vázquez-Gómez, Felisa</creatorcontrib><creatorcontrib>Molinés, Antonio</creatorcontrib><creatorcontrib>Fioravantti, Victoria</creatorcontrib><creatorcontrib>Carrasco, Estela</creatorcontrib><creatorcontrib>Stengs, Lucie</creatorcontrib><creatorcontrib>Edwards, Melissa</creatorcontrib><creatorcontrib>Negm, Logine</creatorcontrib><creatorcontrib>Das, Anirban</creatorcontrib><creatorcontrib>Aronson, Melyssa</creatorcontrib><creatorcontrib>Pastor, Ángela</creatorcontrib><creatorcontrib>Rueda, Daniel</creatorcontrib><creatorcontrib>González-Granado, Luis Ignacio</creatorcontrib><creatorcontrib>Tabori, Uri</creatorcontrib><creatorcontrib>Capellá, Gabriel</creatorcontrib><creatorcontrib>Pineda, Marta</creatorcontrib><title>A Validated Highly Sensitive Microsatellite Instability Assay Accurately Identifies Individuals Harboring Biallelic Germline PMS2 Pathogenic Variants in Constitutional Mismatch Repair Deficiency</title><title>Clinical chemistry (Baltimore, Md.)</title><addtitle>Clin Chem</addtitle><description>Constitutional mismatch repair deficiency (CMMRD) is a rare and extraordinarily penetrant childhood-onset cancer predisposition syndrome. Genetic diagnosis is often hampered by the identification of mismatch repair (MMR) variants of unknown significance and difficulties in PMS2 analysis, the most frequently mutated gene in CMMRD. We present the validation of a robust functional tool for CMMRD diagnosis and the characterization of microsatellite instability (MSI) patterns in blood and tumors.
The highly sensitive assessment of MSI (hs-MSI) was tested on a blinded cohort of 66 blood samples and 24 CMMRD tumor samples. Hs-MSI scores were compared with low-pass genomic instability scores (LOGIC/MMRDness). The correlation of hs-MSI scores in blood with age of cancer onset and the distribution of insertion-deletion (indel) variants in microsatellites were analyzed in a series of 169 individuals (n = 68 CMMRD, n = 124 non-CMMRD).
Hs-MSI achieved high accuracy in the identification of CMMRD in blood (sensitivity 98.5% and specificity 100%) and detected MSI in CMMRD-associated tumors. Hs-MSI had a strong positive correlation with whole low-pass genomic instability LOGIC scores (r = 0.89, P = 2.2e-15 in blood and r = 0.82, P = 7e-3 in tumors). Indel distribution identified PMS2 pathogenic variant (PV) carriers from other biallelic MMR gene PV carriers with an accuracy of 0.997. Higher hs-MSI scores correlated with younger age at diagnosis of the first tumor (r = -0.43, P = 0.011).
Our study confirms the accuracy of the hs-MSI assay as ancillary testing for CMMRD diagnosis, which can also characterize MSI patterns in CMMRD-associated cancers. 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Genetic diagnosis is often hampered by the identification of mismatch repair (MMR) variants of unknown significance and difficulties in PMS2 analysis, the most frequently mutated gene in CMMRD. We present the validation of a robust functional tool for CMMRD diagnosis and the characterization of microsatellite instability (MSI) patterns in blood and tumors.
The highly sensitive assessment of MSI (hs-MSI) was tested on a blinded cohort of 66 blood samples and 24 CMMRD tumor samples. Hs-MSI scores were compared with low-pass genomic instability scores (LOGIC/MMRDness). The correlation of hs-MSI scores in blood with age of cancer onset and the distribution of insertion-deletion (indel) variants in microsatellites were analyzed in a series of 169 individuals (n = 68 CMMRD, n = 124 non-CMMRD).
Hs-MSI achieved high accuracy in the identification of CMMRD in blood (sensitivity 98.5% and specificity 100%) and detected MSI in CMMRD-associated tumors. Hs-MSI had a strong positive correlation with whole low-pass genomic instability LOGIC scores (r = 0.89, P = 2.2e-15 in blood and r = 0.82, P = 7e-3 in tumors). Indel distribution identified PMS2 pathogenic variant (PV) carriers from other biallelic MMR gene PV carriers with an accuracy of 0.997. Higher hs-MSI scores correlated with younger age at diagnosis of the first tumor (r = -0.43, P = 0.011).
Our study confirms the accuracy of the hs-MSI assay as ancillary testing for CMMRD diagnosis, which can also characterize MSI patterns in CMMRD-associated cancers. Hs-MSI is a powerful tool to pinpoint PMS2 as the affected germline gene and thus potentially personalize cancer risk.</abstract><cop>England</cop><pmid>38531023</pmid><doi>10.1093/clinchem/hvae027</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-7427-4651</orcidid><orcidid>https://orcid.org/0009-0007-5125-398X</orcidid><orcidid>https://orcid.org/0000-0002-5019-2683</orcidid><oa>free_for_read</oa></addata></record> |
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title | A Validated Highly Sensitive Microsatellite Instability Assay Accurately Identifies Individuals Harboring Biallelic Germline PMS2 Pathogenic Variants in Constitutional Mismatch Repair Deficiency |
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