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Mod Pathol ; 34(1): 194-206, 2021 01.
Article in English | MEDLINE | ID: mdl-32724153

ABSTRACT

TP53 mutations are implicated in the progression of mucinous borderline tumors (MBOT) to mucinous ovarian carcinomas (MOC). Optimized immunohistochemistry (IHC) for TP53 has been established as a proxy for the TP53 mutation status in other ovarian tumor types. We aimed to confirm the ability of TP53 IHC to predict TP53 mutation status in ovarian mucinous tumors and to evaluate the association of TP53 mutation status with survival among patients with MBOT and MOC. Tumor tissue from an initial cohort of 113 women with MBOT/MOC was stained with optimized IHC for TP53 using tissue microarrays (75.2%) or full sections (24.8%) and interpreted using established criteria as normal or abnormal (overexpression, complete absence, or cytoplasmic). Cases were considered concordant if abnormal IHC staining predicted deleterious TP53 mutations. Discordant tissue microarray cases were re-evaluated on full sections and interpretational criteria were refined. The initial cohort was expanded to a total of 165 MBOT and 424 MOC for the examination of the association of survival with TP53 mutation status, assessed either by TP53 IHC and/or sequencing. Initially, 82/113 (72.6%) cases were concordant using the established criteria. Refined criteria for overexpression to account for intratumoral heterogeneity and terminal differentiation improved concordance to 93.8% (106/113). In the expanded cohort, 19.4% (32/165) of MBOT showed evidence for TP53 mutation and this was associated with a higher risk of recurrence, disease-specific death, and all-cause mortality (overall survival: HR = 4.6, 95% CI 1.5-14.3, p = 0.0087). Within MOC, 61.1% (259/424) harbored a TP53 mutation, but this was not associated with survival (overall survival, p = 0.77). TP53 IHC is an accurate proxy for TP53 mutation status with refined interpretation criteria accounting for intratumoral heterogeneity and terminal differentiation in ovarian mucinous tumors. TP53 mutation status is an important biomarker to identify MBOT with a higher risk of mortality.


Subject(s)
Biomarkers, Tumor/genetics , DNA Mutational Analysis , Immunohistochemistry , Mutation , Neoplasms, Cystic, Mucinous, and Serous/genetics , Ovarian Neoplasms/genetics , Tumor Suppressor Protein p53/genetics , Adult , Australia , Female , Humans , Middle Aged , Neoplasms, Cystic, Mucinous, and Serous/mortality , Neoplasms, Cystic, Mucinous, and Serous/pathology , Neoplasms, Cystic, Mucinous, and Serous/therapy , North America , Observer Variation , Ovarian Neoplasms/mortality , Ovarian Neoplasms/pathology , Ovarian Neoplasms/therapy , Predictive Value of Tests , Prognosis , Reproducibility of Results , Risk Assessment , Risk Factors , Tissue Array Analysis , United Kingdom
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