MMMarta Mendiola
Papers(5)
Improving the perform…The Proteomic Landsca…Performance of the Id…Prognostic implicatio…Comparison of Methods…
Collaborators(10)
Andrés RedondoAlberto Pelaez-GarciaDavid HardissonIgnacio Ruz-CaracuelAlberto BerjónVictoria Heredia-SotoVivian de los RiosAlvaro Lopez-JaneiroAmparo BailloAna Montero-Calle
Institutions(7)
Hospital La Paz Insti…Universidad Autónoma …Instituto de Salud Ca…Hospital Universitari…CSOICClinica Universidad d…Universidad Autónoma …

Papers

Improving the performance of polymerase chain reaction for microsatellite instability testing in endometrial cancer

Between 20% and 30% of endometrial cancer (EC) cases show mismatch repair deficiency (dMMR), and its characterisation is recommended in these tumours for molecular classification, screening of Lynch syndrome, and as a predictive biomarker for immunotherapy. The aim of this study was to explore two tests developed by Promega (OncoMate MSI Dx Analysis System and long mononucleotide repeat (LMR) microsatellite instability (MSI) analysis system). DNA from 126 EC tumours had been screened for MMR status by immunohistochemistry (IHC). Overall, 67 (53.2%) dMMRs and 59 (46.8%) proficient (pMMR) were included. The same cases were additionally explored for MMR genomic status, with 55 (43.7%) cases presenting an altered genomic pattern, and 69 (54.8%) with no genomic alterations. There were 71 (56.3%) microsatellite stability (MSS) cases for OncoMate and 69 (54.8%) for LMR, and 37 (29.4%) microsatellite instability (MSI) cases for OncoMate and 44 (34.9%) for LMR. Differences between the test assignments were significant (p < 0.001), with an increased proportion of correctly classified cases for the LMR assay, taking the IHC result as the reference. The respective sensitivity and specificity of the LMR assay was 95.5% and 68.1%, versus 86.5% and 53.5% for the OncoMate assay. In conclusion, the new LMR MSI Analysis System had a higher correlation with IHC, including cases that could be misdiagnosed due to minimal shifts, as well as higher sensitivity and specificity than the OncoMate panel. The best method regarding the use of dMMR/MSI as a response biomarker for immune checkpoint inhibitors requires further investigation.

Performance of the Idylla microsatellite instability test in endometrial cancer

DNA mismatch repair (MMR) deficiency (dMMR) testing is now recommended in endometrial cancer. Defect identification in the molecules participating in this pathway, or the presence of microsatellite instability, are commonly employed for this purpose. Novel methods are continuously evolving to report dMMR/microsatellite instability and to easily perform routine diagnoses. The main aim of this study was to compare the concordance of the Idylla microsatellite instability test for the identification of dMMR endometrial cancer samples defined by immunohistochemistry and MMR genomic status. We applied the Idylla MSI test to 126 early-stage endometrial cancer cases with MMR testing by immunohistochemistry and genomic characterization (methylation in MLH1 and sequence alterations in MLH1, PMS2, MSH2 and MSH6). Individual markers and overall specific performance indicators were explored. The Idylla platform achieved a higher global concordance rate with MMR genomic status than with immunohistochemistry (75 % and 66 %, respectively). Sensitivity and specificity are also higher (75 % vs 66 % and 96 % vs 90 %, respectively). Clustering analysis split the patients into 2 well-differentiated clusters, the pMMR and the dMMR group, represented by MLH1/PMS2 loss and the MLH1 methylated promoter. Overall, immunohistochemistry and MMR genomic status identified more dMMR cases than did the Idylla test, although correlations were improved with a modified Idylla test cut-off. Performance of the Idylla test was better correlated with MMR genomic status than MMR immunohistochemistry status, which improved with a modified test cut-off. Further studies are needed to confirm the cut-off accuracy.

Prognostic implications of tumor-infiltrating T cells in early-stage endometrial cancer

Patients with endometrial cancer differ in terms of the extent of T-cell infiltration; however, the association between T-cell subpopulations and patient outcomes remains unexplored. We characterized 285 early-stage endometrial carcinoma samples for T-cell infiltrates in a tissue microarray format using multiplex fluorescent immunohistochemistry. The proportion of T cells and their subpopulations were associated with clinicopathological features and relapse-free survival outcomes. CD3+ CD4+ infiltrates were more abundant in the patients with higher grade or non-endometrioid histology. Cytotoxic T cells (CD25+, PD-1+, and PD-L1+) were strongly associated with longer relapse-free survival. Moreover, CD3+ PD-1+ stromal cells were independent of other immune T-cell populations and clinicopathological factors in predicting relapses. Patients with high stromal T-cell fraction of CD3+ PD-1+ cells were associated with a 5-year relapse-free survival rate of 93.7% compared to 79.0% in patients with low CD3+ PD-1+ fraction. Moreover, in patients classically linked to a favorable outcome (such as endometrioid subtype and low-grade tumors), the stromal CD3+ PD-1+ T-cell fraction remained prognostically significant. This study supports that T-cell infiltrates play a significant prognostic role in early-stage endometrial carcinoma. Specifically, CD3+ PD-1+ stromal cells emerge as a promising novel prognostic biomarker.

93Works
5Papers
18Collaborators