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Analysis of patients with endometrial carcinoma using the ProMise classifier: a pilot study from India
Analysis of patients with endometrial carcinoma using the ProMise classifier: a pilot study from India
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Analysis of patients with endometrial carcinoma using the ProMise classifier: a pilot study from India
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Analysis of patients with endometrial carcinoma using the ProMise classifier: a pilot study from India
Analysis of patients with endometrial carcinoma using the ProMise classifier: a pilot study from India

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Analysis of patients with endometrial carcinoma using the ProMise classifier: a pilot study from India
Analysis of patients with endometrial carcinoma using the ProMise classifier: a pilot study from India
Journal Article

Analysis of patients with endometrial carcinoma using the ProMise classifier: a pilot study from India

2024
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Overview
Background Molecular subtyping of endometrial carcinomas (EC) has been shown to classify tumors into prognostically relevant groups. Characterizing EC with a limited number of markers viz., POLE mutations, p53 mutations, and MMR status, can provide valuable information. Design Paraffin sections of a cohort of 48 EC from a tertiary care center were characterized for the above-mentioned molecular markers and analyzed in the context of survival. Methods Formalin fixed paraffin embedded tissues from 48 EC were characterized for POLE mutations by Sanger sequencing (exons 9–14), for MMR (MLH1, MH2, MSH6) using immunohistochemistry (IHC) and copy number (high/low) using p53 IHC. Mutational status was integrated along with the clinicopathological details and survival analysis performed. Results Eleven (22.9%) patients were MMR deficient, 3 (6.3%) had POLE mutation, while 2 (4.1%) had both POLE and P53 mutations (regarded as multiple classifiers). Twelve (25%) patients were found to have P53 mutations, while the remaining 20 (41.7%) had no specific molecular profile (NSMP). Median follow-up duration was 43.5 (2–62) months with 8 recurrences and 9 deaths. Tumors with POLE mutation had the most favorable prognosis followed by the NSMP and the MMR mutated group while the P53 and multiple classifier groups had the worst prognosis in terms of OS (Log-rank p : 0.006) and PFS (Log-rank p : 0.001). Conclusion The integration of molecular-clinicopathologic data for endometrial cancer classification, through cost-effective, clinically applicable assays appears to be a highly objective tool that can be adopted even in resource-limited settings. It has the potential to cause a shift in the paradigm of EC pathology and management practice.