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Performance characteristics of screening strategies to identify Lynch syndrome in women with ovarian cancer
BACKGROUND: For women with ovarian cancer (OC), the optimal screening strategy to identify Lynch syndrome (LS) has not been determined. In the current study, the authors compared the performance characteristics of various strategies combining mismatch repair (MMR) immunohistochemistry (IHC), microsa...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693219/ https://www.ncbi.nlm.nih.gov/pubmed/32809219 http://dx.doi.org/10.1002/cncr.33144 |
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author | Kim, Soyoun Rachel Tone, Alicia Kim, Raymond H. Cesari, Matthew Clarke, Blaise A. Eiriksson, Lua Hart, Tae Aronson, Melyssa Holter, Spring Lytwyn, Alice Maganti, Manjula Oldfield, Leslie Gallinger, Steven Bernardini, Marcus Q. Oza, Amit M. Djordjevic, Bojana Lerner‐Ellis, Jordan Van de Laar, Emily Vicus, Danielle Pugh, Trevor J. Pollett, Aaron Ferguson, Sarah E. |
author_facet | Kim, Soyoun Rachel Tone, Alicia Kim, Raymond H. Cesari, Matthew Clarke, Blaise A. Eiriksson, Lua Hart, Tae Aronson, Melyssa Holter, Spring Lytwyn, Alice Maganti, Manjula Oldfield, Leslie Gallinger, Steven Bernardini, Marcus Q. Oza, Amit M. Djordjevic, Bojana Lerner‐Ellis, Jordan Van de Laar, Emily Vicus, Danielle Pugh, Trevor J. Pollett, Aaron Ferguson, Sarah E. |
author_sort | Kim, Soyoun Rachel |
collection | PubMed |
description | BACKGROUND: For women with ovarian cancer (OC), the optimal screening strategy to identify Lynch syndrome (LS) has not been determined. In the current study, the authors compared the performance characteristics of various strategies combining mismatch repair (MMR) immunohistochemistry (IHC), microsatellite instability testing (MSI), and family history for the detection of LS. METHODS: Women with nonserous and/or nonmucinous ovarian cancer were recruited prospectively from 3 cancer centers in Ontario, Canada. All underwent germline testing for LS and completed a family history assessment. Tumors were assessed using MMR IHC and MSI. The sensitivity, specificity, and positive and negative predictive values of screening strategies were compared with the gold standard of a germline result. RESULTS: Of 215 women, germline data were available for 189 (88%); 13 women (7%) had pathogenic germline variants with 7 women with mutS homolog 6 (MSH6); 3 women with mutL homolog 1 (MLH1); 2 women with PMS1 homolog 2, mismatch repair system component (PMS2); and 1 woman with mutS homolog 2 (MSH2). A total of 28 women had MMR‐deficient tumors (13%); of these, 11 had pathogenic variants (39%). Sequential IHC (with MLH1 promoter methylation analysis on MLH1‐deficient tumors) followed by MSI for nonmethylated and/or MMR‐intact patients was the most sensitive (92.3%; 95% confidence interval, 64%‐99.8%) and specific (97.7%; 95% confidence interval, 94.2%‐99.4%) approach, missing 1 case of LS. IHC with MLH1 promoter methylation analysis missed 2 patients of LS. Family history was found to have the lowest sensitivity at 55%. CONCLUSIONS: Sequential IHC (with MLH1 promoter methylation analysis) followed by MSI was found to be most sensitive. However, IHC with MLH1 promoter methylation analysis also performed well and is likely more cost‐effective and efficient in the clinical setting. The pretest probability of LS is high in patients with MMR deficiency and warrants universal screening for LS. |
format | Online Article Text |
id | pubmed-7693219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76932192020-12-11 Performance characteristics of screening strategies to identify Lynch syndrome in women with ovarian cancer Kim, Soyoun Rachel Tone, Alicia Kim, Raymond H. Cesari, Matthew Clarke, Blaise A. Eiriksson, Lua Hart, Tae Aronson, Melyssa Holter, Spring Lytwyn, Alice Maganti, Manjula Oldfield, Leslie Gallinger, Steven Bernardini, Marcus Q. Oza, Amit M. Djordjevic, Bojana Lerner‐Ellis, Jordan Van de Laar, Emily Vicus, Danielle Pugh, Trevor J. Pollett, Aaron Ferguson, Sarah E. Cancer Original Articles BACKGROUND: For women with ovarian cancer (OC), the optimal screening strategy to identify Lynch syndrome (LS) has not been determined. In the current study, the authors compared the performance characteristics of various strategies combining mismatch repair (MMR) immunohistochemistry (IHC), microsatellite instability testing (MSI), and family history for the detection of LS. METHODS: Women with nonserous and/or nonmucinous ovarian cancer were recruited prospectively from 3 cancer centers in Ontario, Canada. All underwent germline testing for LS and completed a family history assessment. Tumors were assessed using MMR IHC and MSI. The sensitivity, specificity, and positive and negative predictive values of screening strategies were compared with the gold standard of a germline result. RESULTS: Of 215 women, germline data were available for 189 (88%); 13 women (7%) had pathogenic germline variants with 7 women with mutS homolog 6 (MSH6); 3 women with mutL homolog 1 (MLH1); 2 women with PMS1 homolog 2, mismatch repair system component (PMS2); and 1 woman with mutS homolog 2 (MSH2). A total of 28 women had MMR‐deficient tumors (13%); of these, 11 had pathogenic variants (39%). Sequential IHC (with MLH1 promoter methylation analysis on MLH1‐deficient tumors) followed by MSI for nonmethylated and/or MMR‐intact patients was the most sensitive (92.3%; 95% confidence interval, 64%‐99.8%) and specific (97.7%; 95% confidence interval, 94.2%‐99.4%) approach, missing 1 case of LS. IHC with MLH1 promoter methylation analysis missed 2 patients of LS. Family history was found to have the lowest sensitivity at 55%. CONCLUSIONS: Sequential IHC (with MLH1 promoter methylation analysis) followed by MSI was found to be most sensitive. However, IHC with MLH1 promoter methylation analysis also performed well and is likely more cost‐effective and efficient in the clinical setting. The pretest probability of LS is high in patients with MMR deficiency and warrants universal screening for LS. John Wiley and Sons Inc. 2020-08-18 2020-11-15 /pmc/articles/PMC7693219/ /pubmed/32809219 http://dx.doi.org/10.1002/cncr.33144 Text en © 2020 The Authors. Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Kim, Soyoun Rachel Tone, Alicia Kim, Raymond H. Cesari, Matthew Clarke, Blaise A. Eiriksson, Lua Hart, Tae Aronson, Melyssa Holter, Spring Lytwyn, Alice Maganti, Manjula Oldfield, Leslie Gallinger, Steven Bernardini, Marcus Q. Oza, Amit M. Djordjevic, Bojana Lerner‐Ellis, Jordan Van de Laar, Emily Vicus, Danielle Pugh, Trevor J. Pollett, Aaron Ferguson, Sarah E. Performance characteristics of screening strategies to identify Lynch syndrome in women with ovarian cancer |
title | Performance characteristics of screening strategies to identify Lynch syndrome in women with ovarian cancer |
title_full | Performance characteristics of screening strategies to identify Lynch syndrome in women with ovarian cancer |
title_fullStr | Performance characteristics of screening strategies to identify Lynch syndrome in women with ovarian cancer |
title_full_unstemmed | Performance characteristics of screening strategies to identify Lynch syndrome in women with ovarian cancer |
title_short | Performance characteristics of screening strategies to identify Lynch syndrome in women with ovarian cancer |
title_sort | performance characteristics of screening strategies to identify lynch syndrome in women with ovarian cancer |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693219/ https://www.ncbi.nlm.nih.gov/pubmed/32809219 http://dx.doi.org/10.1002/cncr.33144 |
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