Epigenetic MMR defect identifies a risk group not accounted for through traditional risk stratification algorithms in endometrial cancer
PurposeWe sought to evaluate the contribution of mismatch repair (MMR) status to traditional risk stratification algorithms used to predict nodal involvement and recurrence in a large single-institution cohort.MethodsEndometrioid endometrial cancer (EC) cases from 2014-2020 were evaluated. MMR immun...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-04-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1147657/full |
_version_ | 1797851365079252992 |
---|---|
author | Courtney J. Riedinger Morgan Brown Paulina J. Haight Floor J. Backes David E. Cohn Paul J. Goodfellow Casey M. Cosgrove |
author_facet | Courtney J. Riedinger Morgan Brown Paulina J. Haight Floor J. Backes David E. Cohn Paul J. Goodfellow Casey M. Cosgrove |
author_sort | Courtney J. Riedinger |
collection | DOAJ |
description | PurposeWe sought to evaluate the contribution of mismatch repair (MMR) status to traditional risk stratification algorithms used to predict nodal involvement and recurrence in a large single-institution cohort.MethodsEndometrioid endometrial cancer (EC) cases from 2014-2020 were evaluated. MMR immunohistochemistry (IHC) was performed universally. Uterine factors assessed in the Mayo criteria were used to retrospectively classify patients as low or high risk for lymphatic spread. Patients were classified according to risk for recurrence using GOG 99 and PORTEC criteria. Associations were evaluated using chi-square and t-tests and contributing factors assessed using logistic regression models.Results1,514 endometrioid EC were evaluated; 392 (25.9%) were MMR (MMR) deficient of which 80.4% of MMR defects were associated with epigenetic silencing of MLH1. Epigenetic MMR defects were significantly more likely to be high risk for lymph node (LN) metastasis based on Mayo criteria (74.9% vs 60.6%, p=<0.001) and with the presence of LN metastasis (20.3 vs 10.5%, p=0.003) compared to MMR proficient tumors. Tumors with epigenetic MMR defects were significantly more likely to be classified as high or high intermediate risk using GOG99 and PORTEC criteria. Furthermore, cases with epigenetic MMR defects classified as low or low intermediate risk were significantly more likely to recur (GOG99 p=0.013; PORTEC p=0.008) and independently associated with worse disease-free survival (DFS). MMR status was found to be independently associated with worse DFS (HR 1.90; 95% CI 1.34-2.70; p=0.003) but not overall survival.ConclusionWhile MMR deficient EC has been associated with poor prognostic features in prior reports; we demonstrate that only epigenetic MMR defects have poorer outcomes. Epigenetic MMR defect were independently associated with lymph node metastasis after controlling for risk criteria. Epigenetic MMR deficiency was found to be an independent predictor of recurrence beyond the factors considered in traditional risk stratification algorithms. Traditional uterine-based risk stratification algorithms may not fully reflect the risk for recurrence in MMR deficient tumors. Consideration should be given to implementing MMR status and MLH1 hypermethylation alongside traditional risk stratification algorithms. Performing MMR IHC on preoperative pathologic specimens may aid in risk stratification and patient counseling. |
first_indexed | 2024-04-09T19:15:36Z |
format | Article |
id | doaj.art-53be0defb5ab4afb85c792116b269ff5 |
institution | Directory Open Access Journal |
issn | 2234-943X |
language | English |
last_indexed | 2024-04-09T19:15:36Z |
publishDate | 2023-04-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Oncology |
spelling | doaj.art-53be0defb5ab4afb85c792116b269ff52023-04-06T05:44:18ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-04-011310.3389/fonc.2023.11476571147657Epigenetic MMR defect identifies a risk group not accounted for through traditional risk stratification algorithms in endometrial cancerCourtney J. Riedinger0Morgan Brown1Paulina J. Haight2Floor J. Backes3David E. Cohn4Paul J. Goodfellow5Casey M. Cosgrove6Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Arthur G. James Cancer Hospital, The Ohio State University Wexner Medical Center, Columbus, OH, United StatesDepartment of Obstetrics and Gynecology, The Ohio State University Wexner Medical Center, Columbus, OH, United StatesDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Arthur G. James Cancer Hospital, The Ohio State University Wexner Medical Center, Columbus, OH, United StatesDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Arthur G. James Cancer Hospital, The Ohio State University Wexner Medical Center, Columbus, OH, United StatesDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Arthur G. James Cancer Hospital, The Ohio State University Wexner Medical Center, Columbus, OH, United StatesDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Arthur G. James Cancer Hospital, The Ohio State University Wexner Medical Center, Columbus, OH, United StatesDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Arthur G. James Cancer Hospital, The Ohio State University Wexner Medical Center, Columbus, OH, United StatesPurposeWe sought to evaluate the contribution of mismatch repair (MMR) status to traditional risk stratification algorithms used to predict nodal involvement and recurrence in a large single-institution cohort.MethodsEndometrioid endometrial cancer (EC) cases from 2014-2020 were evaluated. MMR immunohistochemistry (IHC) was performed universally. Uterine factors assessed in the Mayo criteria were used to retrospectively classify patients as low or high risk for lymphatic spread. Patients were classified according to risk for recurrence using GOG 99 and PORTEC criteria. Associations were evaluated using chi-square and t-tests and contributing factors assessed using logistic regression models.Results1,514 endometrioid EC were evaluated; 392 (25.9%) were MMR (MMR) deficient of which 80.4% of MMR defects were associated with epigenetic silencing of MLH1. Epigenetic MMR defects were significantly more likely to be high risk for lymph node (LN) metastasis based on Mayo criteria (74.9% vs 60.6%, p=<0.001) and with the presence of LN metastasis (20.3 vs 10.5%, p=0.003) compared to MMR proficient tumors. Tumors with epigenetic MMR defects were significantly more likely to be classified as high or high intermediate risk using GOG99 and PORTEC criteria. Furthermore, cases with epigenetic MMR defects classified as low or low intermediate risk were significantly more likely to recur (GOG99 p=0.013; PORTEC p=0.008) and independently associated with worse disease-free survival (DFS). MMR status was found to be independently associated with worse DFS (HR 1.90; 95% CI 1.34-2.70; p=0.003) but not overall survival.ConclusionWhile MMR deficient EC has been associated with poor prognostic features in prior reports; we demonstrate that only epigenetic MMR defects have poorer outcomes. Epigenetic MMR defect were independently associated with lymph node metastasis after controlling for risk criteria. Epigenetic MMR deficiency was found to be an independent predictor of recurrence beyond the factors considered in traditional risk stratification algorithms. Traditional uterine-based risk stratification algorithms may not fully reflect the risk for recurrence in MMR deficient tumors. Consideration should be given to implementing MMR status and MLH1 hypermethylation alongside traditional risk stratification algorithms. Performing MMR IHC on preoperative pathologic specimens may aid in risk stratification and patient counseling.https://www.frontiersin.org/articles/10.3389/fonc.2023.1147657/fullmismatch repair deficiency (MMR)epigenetic lossLynch syndromebiomarkerrisk stratificationendometrial cancer |
spellingShingle | Courtney J. Riedinger Morgan Brown Paulina J. Haight Floor J. Backes David E. Cohn Paul J. Goodfellow Casey M. Cosgrove Epigenetic MMR defect identifies a risk group not accounted for through traditional risk stratification algorithms in endometrial cancer Frontiers in Oncology mismatch repair deficiency (MMR) epigenetic loss Lynch syndrome biomarker risk stratification endometrial cancer |
title | Epigenetic MMR defect identifies a risk group not accounted for through traditional risk stratification algorithms in endometrial cancer |
title_full | Epigenetic MMR defect identifies a risk group not accounted for through traditional risk stratification algorithms in endometrial cancer |
title_fullStr | Epigenetic MMR defect identifies a risk group not accounted for through traditional risk stratification algorithms in endometrial cancer |
title_full_unstemmed | Epigenetic MMR defect identifies a risk group not accounted for through traditional risk stratification algorithms in endometrial cancer |
title_short | Epigenetic MMR defect identifies a risk group not accounted for through traditional risk stratification algorithms in endometrial cancer |
title_sort | epigenetic mmr defect identifies a risk group not accounted for through traditional risk stratification algorithms in endometrial cancer |
topic | mismatch repair deficiency (MMR) epigenetic loss Lynch syndrome biomarker risk stratification endometrial cancer |
url | https://www.frontiersin.org/articles/10.3389/fonc.2023.1147657/full |
work_keys_str_mv | AT courtneyjriedinger epigeneticmmrdefectidentifiesariskgroupnotaccountedforthroughtraditionalriskstratificationalgorithmsinendometrialcancer AT morganbrown epigeneticmmrdefectidentifiesariskgroupnotaccountedforthroughtraditionalriskstratificationalgorithmsinendometrialcancer AT paulinajhaight epigeneticmmrdefectidentifiesariskgroupnotaccountedforthroughtraditionalriskstratificationalgorithmsinendometrialcancer AT floorjbackes epigeneticmmrdefectidentifiesariskgroupnotaccountedforthroughtraditionalriskstratificationalgorithmsinendometrialcancer AT davidecohn epigeneticmmrdefectidentifiesariskgroupnotaccountedforthroughtraditionalriskstratificationalgorithmsinendometrialcancer AT pauljgoodfellow epigeneticmmrdefectidentifiesariskgroupnotaccountedforthroughtraditionalriskstratificationalgorithmsinendometrialcancer AT caseymcosgrove epigeneticmmrdefectidentifiesariskgroupnotaccountedforthroughtraditionalriskstratificationalgorithmsinendometrialcancer |