Molecular Subgroups Of Endometrial Cancer Research Articles

Abstract 1962: The relevance of estrogen driven tumor growth within the molecular subgroups of endometrial cancer

Abstract Introduction: Immunohistochemical expression (IHC) of estrogen receptor (ER) and progesterone receptor (PR) are biomarkers for prognosis and response to hormonal therapy in endometrial cancer (EC). However, the presence of ER/PR is not inherently reflective of estrogen driven tumor growth. Previously, ER pathway activity score (ERPAS), a test to asses ER pathway, was shown to reflect estrogen driven tumor growth and to have additional prognostic and predictive value over ER and PR-IHC. Within the four molecular subgroups of EC, ER and PR-IHC are present in all subgroups. Yet, the relation of ERPAS with molecular subgroups is unclear. In this study we aim to identify estrogen driven tumor growth by application of ERPAS in the molecular subgroups. Methods: ER and PR-IHC expression, ERPAS testing and molecular analysis was available in 72 endometrial cancer cases. ER and PR-IHC expression was analyzed from formalin-fixed paraffin-embedded (FFPE) tumor sections using standard procedures. A cut-off value of 10% was defined as positive. ERPAS was performed using RT-qPCR analysis of the most relevant ER-related genes (www.philips.com/oncosignal). A Bayesian computational model was used to infer ERPAS that were normalized on a scale from 0 to 100. The cut-off value for an active ER pathway was 29.7, as previously defined. Molecular analysis was performed using Next Generation Sequencing with single-molecule Molecular Inversion Probes (smMIPs). Accordingly patients were grouped in the POLE-mutant, MSI high, TP53-mutant or no specific molecular profile, NSMP group. Results: The TP53-mutant-group had a worse outcome compared to other groups. ER pathway was active in 75% of POLE-mutant, 83.3% of MSI-high, 87.5% of NSMP and 38.9% of TP53-mutant cases. Similarly, PR-IHC expression was present in 100% of POLE-mutant, 72.2% of MSI-high, 81.3% of NSMP and 27.8% of TP53-mutant cases. The mean ERPAS was significantly higher in MSI-high and NSMP groups compared to the TP53-mutant group. Within the NSMP subgroup, an active ER pathway was significantly associated with improved disease-free survival and disease-specific survival in Kaplan-Meier analysis. Analysis in other subgroups was not possible due to limited number of cases. Conclusions: The majority of POLE-mutant, MSI-high and NSMP tumors showed an active ER pathway, indicating relevance of estrogen driven tumor growth in these groups. In the NSMP subgroup, ERPAS can be used to stratify patients for prognosis. Whether ER pathway is prognostic in the MSI-high and TP53-mutant subgroups needs to be evaluated in larger cohorts. If hormonal therapy is applied, we suggest to tailor it to patient with an active ER pathway. Citation Format: Willem Jan van Weelden, Stephanie Vrede, Louis van der Putten, Hans Bulten, Marc Snijders, Sanne Sweegers, Andrea Romano, Astrid Eijkelenboom, Anja van de Stolpe, Johanna Pijnenborg. The relevance of estrogen driven tumor growth within the molecular subgroups of endometrial cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1962.

The immunologic tumor microenvironment in endometrioid endometrial cancer in the morphomolecular context: mutual correlations and prognostic impact depending on molecular alterations

ObjectivePOLE-mutant, microsatellite-instable (MSI), p53-mutant and non-specific molecular profile (NSMP) are TCGA-defined molecular subgroups of endometrial cancer (EC). Hypothesizing that morphology and tumor immunology might differ depending on molecular background concerning composition and prognostic impact, we aimed to comprehensively interconnect morphologic, immunologic and molecular data.MethodsTCGA-defined molecular groups were determined by immunohistochemistry and sequencing in n = 142 endometrioid EC. WHO-defined histopathological grading was performed. The immunologic microenvironment (iTME) was characterised by the quantification of intraepithelial and stromal populations of tumor-infiltrating lymphocytes (TIL: overall T-cells; T-Killer cells; regulatory T-cells (Treg)). Immunologic parameters were correlated with WHO-grading, TCGA-subgroups and prognosis.ResultsHigh density TIL were significantly more frequent in high-grade (G3) compared to low-grade (G1/2) EC in the whole cohort and in the subgroup of POLE-wildtype-/microsatellite-stable-EC. MSI was associated with high-level TIL-infiltration when taking into account the type of mismatch repair defect (MLH1/PMS2; MSH2/MSH6). Prognostic impact of biomarkers depended on molecular subgroups: In p53-mutant EC, Treg were independently prognostic, in NSMP, the unique independently prognostic biomarker was WHO-grading.ConclusionsEC morphology and immunology differ depending on genetics. Our study delineated two molecularly distinct subgroups of immunogenic EC characterized by high-density TIL-infiltration: MSI EC and high-grade POLE-wildtype/microsatellite-stable-EC. Prognostic impact of TIL-populations relied on TCGA-subgroups indicating specific roles for TIL depending on molecular background. In NSMP, histopathological grading was the only prognostic biomarker demonstrating the relevance of WHO-grading in an era of molecular subtyping.

Utility of a custom designed next generation DNA sequencing gene panel to molecularly classify endometrial cancers according to The Cancer Genome Atlas subgroups

BackgroundThe Cancer Genome Atlas identified four molecular subgroups of endometrial cancer with survival differences based on whole genome, transcriptomic, and proteomic characterization. Clinically accessible algorithms that reproduce this data are needed. Our aim was to determine if targeted sequencing alone allowed for molecular classification of endometrial cancer.MethodsUsing a custom-designed 156 gene panel, we analyzed 47 endometrial cancers and matching non-tumor tissue. Variants were annotated for pathogenicity and medical records were reviewed for the clinicopathologic variables. Using molecular characteristics, tumors were classified into four subgroups. Group 1 included patients with > 570 unfiltered somatic variants, > 9 cytosine to adenine nucleotide substitutions per sample, and < 1 cytosine to guanine nucleotide substitution per sample. Group 2 included patients with any somatic mutation in MSH2, MSH6, MLH1, PMS2. Group 3 included patients with TP53 mutations without mutation in mismatch repair genes. Remaining patients were classified as group 4. Analyses were performed using SAS 9.4 (SAS Institute Inc., Cary, North Carolina, USA).ResultsEndometrioid endometrial cancers had more candidate variants of potential pathogenic interest (median 6 IQR 4.13 vs. 2 IQR 2.3; p < 0.01) than uterine serous cancers. PTEN (82% vs. 15%, p < 0.01) and PIK3CA (74% vs. 23%, p < 0.01) mutations were more frequent in endometrioid than serous carcinomas. TP53 (18% vs. 77%, p < 0.01) mutations were more frequent in serous carcinomas. Visual inspection of the number of unfiltered somatic variants per sample identified six grade 3 endometrioid samples with high tumor mutational burden, all of which demonstrated POLE mutations, most commonly P286R and V411L. Of the grade 3 endometrioid carcinomas, those with POLE mutations were less likely to have risk factors necessitating adjuvant treatment than those with low tumor mutational burden. Targeted sequencing was unable to assign samples to microsatellite unstable, copy number low, and copy number high subgroups.ConclusionsTargeted sequencing can predict the presence of POLE mutations based on the tumor mutational burden. However, targeted sequencing alone is inadequate to classify endometrial cancers into molecular subgroups identified by The Cancer Genome Atlas.

Clinical factors as prognostic variables among molecular subgroups of endometrial cancer.

Clinical factors may influence endometrial cancer survival outcomes. We examined the prognostic significance of age, body mass index (BMI), and type 2 diabetes among molecular subgroups of endometrial cancer. This was a single institution retrospective study of patients who underwent surgery for endometrial carcinoma between January 2007 and December 2012. Tumors were classified into four molecular subgroups by immunohistochemistry of mismatch repair (MMR) proteins and p53, and sequencing of polymerase-ϵ (POLE). Overall, cancer-related, and non-cancer-related mortality were estimated using univariable and multivariable survival analyses. Age >65 years was associated with increased mortality rates in the whole cohort (n = 515) and in the "no specific molecular profile" (NSMP) (n = 218) and MMR deficient (MMR-D) (n = 191) subgroups during a median follow-up time of 81 months (range 1‒136). However, hazard ratios for cancer-related mortality were non-significant for NSMP and MMR-D. Diabetes was associated with increased overall and non-cancer-related mortality in the whole cohort and MMR-D subgroup. Overweight/obesity had no effect on outcomes in the whole cohort, but was associated with decreased overall and cancer-related mortality in the NSMP subgroup, and increased overall and non-cancer-related mortality in the MMR-D subgroup. Overweight/obesity effect on cancer-related mortality in the NSMP subgroup remained unchanged after controlling for confounders. High-risk uterine factors were more common, and estrogen and progesterone receptor expression less common in NSMP subtype cancers of normal-weight patients compared with overweight/obese patients. No clinical factors were associated with outcomes in p53 aberrant (n = 69) and POLE mutant (n = 37) subgroups. No cancer-related deaths occurred in the POLE mutant subgroup. The prognostic effects of age, BMI, and type 2 diabetes do not appear to be uniform for the molecular subgroups of endometrial cancer. Our data support further evaluation of BMI combined with genomics-based risk-assessment.

TCGA Molecular Subgroups in Endometrial Undifferentiated/Dedifferentiated Carcinoma.

We aimed to classify undifferentiated/dedifferentiated carcinoma (UDC/DDC) according to the four TCGA molecular subgroups of endometrial cancer: microsatellite-instable/hypermutated (MSI), POLE-mutant/ultramutated (POLE), copy-number-low/p53-wild-type (p53wt), and copy-number-high/p53-abnormal (p53abn), through a systematic review and meta-analysis. Electronic databases were searched from January 2013 to July 2019 for studies assessing the TCGA classification in endometrial UDC/DDC series. Pooled prevalence of each TCGA subgroup on the total UDC/DDCs was calculated. Three studies with 73 patients were included. Pooled prevalence of the TCGA subgroups were: 12.4% for the POLE subgroup, 44% for the MSI subgroup, 18.6% for the p53abn subgroup, 25% for the p53wt group. All TCGA groups are represented in UDC/DDC, with a predominance of the MSI group, indicating a biological heterogeneity. Hypermutated/ultramutated cancers constitute the majority of UDC/DDC, suggesting a crucial difference with other high-risk histologies of endometrial carcinoma.

Assessment of DNA Ploidy in the ProMisE molecular subgroups of endometrial cancer

ObjectiveWe sought to determine whether DNA ploidy correlates with the four molecular subgroups of endometrial carcinoma (EC) as determined using ProMisE (Proactive Molecular Risk Classifier for Endometrial Cancer). Methods90 cases of EC previously characterized by clinicopathological parameters, outcomes, and ProMisE molecular subgroup (POLE EDM, MMR-D, p53 wt or p53 abn) were assessed for DNA ploidy using image cytometry. Associations of ploidy with traditional clinicopathological parameters were also tested. ResultsAbnormal DNA ploidy status differed amongst the ProMisE groups (p<0.001) and was found in 80.9% (17/21) of p53 abn, 37.0% (10/27) of p53 wt, 28.6% (4/14) of POLE EDM and 14.3% (4/28) of MMR-D. Abnormal DNA content was significantly associated with lower BMI (p=0.034) and grade 3 tumors (p=0.001). In the entire cohort, abnormal DNA content was significantly associated with worse progression free survival (p=0.0094) but not disease specific survival (p=0.249) or overall survival (p=0.187). When examining ploidy within each of the ProMisE groups, abnormal DNA content correlated with worse overall survival (p=0.041) and progression free survival (p=0.011) in the MMR-D group. No statistically significant relationship was seen in the remaining 3 groups. ConclusionAbnormal DNA ploidy status did correlate with the molecular subgroups of EC; abnormal DNA content was seen in the large majority of p53 abn cases. Abnormal ploidy however was also seen in smaller numbers in the p53 wt, POLE EDM and MMR-D groups; therefore abnormal DNA content was not a specific marker for any one molecular group. The addition of ploidy to the ProMisE molecular categories conferred additional prognostic value within the MMR-D group, which merits further study.