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Prospective Clinical Prognostication of Endometrial Carcinomas Based on Next-Generation Sequencing and Immunohistochemistry-Real-World Implementation and Results at a Tertiary Care Center. | LitMetric

AI Article Synopsis

  • The study utilizes findings from The Cancer Genome Atlas and a specific algorithm to classify endometrial carcinoma into four distinct subgroups based on molecular and immunohistochemical characteristics.
  • Over the first 13 months, 188 tumors were analyzed through a combination of IHC and a next-generation sequencing (NGS) assay focused on 56 genes, leading to classification into the following subgroups: POLE-mutated (5.3%), mismatch repair deficient (27.7%), no specific molecular profile (45.7%), and p53 abnormal (21.3%).
  • The NGS analysis uncovered further distinctions among these subgroups, such as differences in pathway activation and mutation frequencies, resulting in a comprehensive testing protocol aimed

Article Abstract

Based on findings from The Cancer Genome Atlas and the Proactive Molecular Risk Classifier for Endometrial Cancer algorithm, endometrial carcinoma can now be stratified into 4 prognostically distinct subgroups based on molecular alterations and immunohistochemical (IHC) aberrations. In this study, we describe the de novo adoption and clinical reporting of prognostic subgroup classification based on next-generation sequencing (NGS) and IHC analyses of all endometrial carcinoma resections at a single institution, framed by the Exploration, Preparation, Implementation, and Sustainment model. Results from the first 13 months show 188 tumors underwent analysis by a combination of IHC and a medium-sized (56 analyzed genes) NGS-based assay. All cases were assigned as either POLE ( POLE -mutated) (5.3%), mismatch repair deficient (27.7%), no specific molecular profile (45.7%), or p53 abnormal (21.3%) inclusive of multiple-classifier cases. NGS-based analysis revealed additional distinctions among the subgroups, including reduced levels of PI3K pathway activation in the p53 abnormal subgroup, an increased rate of CTNNB1 activating mutation in the no specific molecular profile subgroup, and lower TP53 mutation variant allele frequencies in POLE and mismatch repair deficient subgroups compared with the p53 abnormal subgroup. Overall, we describe the testing protocol, reporting, and results of a combination of NGS and IHC to prospectively prognosticate endometrial carcinomas at a single tertiary care center.

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Source
http://dx.doi.org/10.1097/PGP.0000000000000994DOI Listing

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