Risk Classifier For Endometrial Cancer Research Articles

New clinicopathological concept of endometrial carcinoma with integration of histological features and molecular profiles.

The dual-stratified pathway of endometrial carcinomas (ECs) has long been dominant. However, in 2013, The Cancer Genome Atlas (TCGA) defined four EC subgroups with distinctive prognoses. Inspired by TCGA, in 2018, the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) provided four pragmatic molecular classifiers to apply surrogate immunohistochemical markers to TCGA subgroup categorization. These trends prompted the revision of 2020 WHO Classification of Female Genital Tumors, 5th edition (2020 WHO classification), in which four molecular subtypes are recognized: POLE-ultramutated; mismatch repair-deficient; p53-mutant; and no specific molecular profile. In the 2020 WHO classification, the diagnostic algorithm is characterized by prioritizing POLEmut over other molecular abnormalities. Following the 2020 WHO classification, Federation of International Gynecology and Obstetrics (FIGO) proposed a new staging system in 2023. The updated system focuses on diagnostic parameters, such as histological type and grade, lymphovascular space invasion, and molecular alterations. These new histomolecular diagnostic concepts of ECs are being accordingly introduced into the routine pathology practice. For the first time, the 2020 WHO classification includes mesonephric-like adenocarcinoma (MLA) as a novel histological entity, mimicking the conventional mesonephric adenocarcinoma, but is considered of Müllerian ductal origin.

Determination of endometrial cancer molecular subtypes using a whole exome-sequencing based single-method approach

AimEndometrial cancer (EC) is heterogeneous with respect to epidemiology, clinical course, histopathology and tumor biology. Recently, The Cancer Genome Atlas (TCGA) network has identified four molecular subtypes with distinct clinical courses by an integrated multi-omics approach. These subtypes are of critical importance in the clinical management of EC. However, determination of TCGA molecular subtypes requires a complex methodological approach that is resource intensive and difficult to implement in diagnostic routine procedures. In this context, Talhouk et al. reported the precise determination of modified subtypes based on molecular surrogates obtained by a two-method approach comprising immunohistochemistry and DNA-sequence analysis (Proactive Molecular Risk Classifier for Endometrial Cancer; ProMisE). In this study, we aimed to identify EC molecular subtypes in analogy to TCGA and ProMisE applying an innovative whole exome-sequencing (WES) based single-method approach.MethodsWES was performed in a cohort comprising N = 114 EC patients. WES data were analyzed using the oncology treatment decision support software MH Guide (Molecular Health, Heidelberg, Germany) and EC molecular subtypes in analogy to TCGA and ProMisE were determined. Results from both classifications were compared regarding their prognostic values using overall survival and progression-free survival analyses.ResultsApplying a single-method WES-approach, EC molecular subtypes analogue to TCGA and ProMisE were identified in the study cohort. The surrogate marker-analogue classification precisely identified high-risk and low-risk EC, whereas the TCGA-analogue classification failed to obtain significant prognostic values in this regard.ConclusionOur data demonstrate that determination of EC molecular subtypes analogue to TCGA and ProMisE is feasible by using a single-method WES approach. Within our EC cohort, prognostic implications were only reliably provided by applying the surrogate marker-analogue approach. Designation of molecular subtypes in EC will be increasingly important in routine clinical practice. Thus, the single-method WES approach provides an important simple tool to tailor therapeutic decisions in EC.

Asparaginase-like protein 1 as a prognostic tissue biomarker in clinicopathologically and molecularly characterized endometrial cancer

ObjectivePrognostic stratification of endometrial cancer involves the assessment of stage, uterine risk factors, and molecular classification. This process can be further refined through annotation of prognostic biomarkers, notably L1 cell adhesion molecule (L1CAM) and hormonal receptors. Loss of asparaginase-like protein 1 (ASRGL1) has been shown to correlate with poor outcome in endometrial cancer. Our objective was to assess prognostication of endometrial cancer by ASRGL1 in conjunction with other available methodologies. Study DesignThis was a retrospective study of patients who underwent primary treatment at a single tertiary center. Tumors were molecularly classified by the Proactive Molecular Risk Classifier for Endometrial Cancer. Expression of ASRGL1, L1CAM, estrogen receptor, and progesterone receptor was determined by immunohistochemistry. ASRGL1 expression intensity was scored into four classes. ResultsIn a cohort of 775 patients, monitored for a median time of 81 months, ASRGL1 expression intensity was related to improved disease-specific survival in a dose-dependent manner (P < 0.001). Low expression levels were associated with stage II–IV disease and presence of uterine factors, i.e. high grade, lymphovascular space invasion, and deep myometrial invasion (P < 0.001 for all). Among the molecular subgroups, low expression was most prevalent in p53 abnormal carcinomas (P < 0.001). Low ASRGL1 was associated with positive L1CAM expression and negative estrogen and progesterone receptor expression (P < 0.001 for all). After adjustment for stage and uterine factors, strong ASRGL1 staining intensity was associated with a lower risk for cancer-related deaths (hazard ratio 0.56, 95 % confidence interval 0.32–0.97; P = 0.038). ASRGL1 was not associated with the outcome when adjusted for stage, molecular subgroups, L1CAM, and hormonal receptors. When analyzed separately within the different molecular subgroups, ASRGL1 showed an association with disease-specific survival specifically in “no specific molecular profile” subtype carcinomas (P < 0.001). However, this association became nonsignificant upon controlling for confounders. ConclusionsLow ASRGL1 expression intensity correlates with poor survival in endometrial cancer. ASRGL1 contributes to more accurate prognostication when controlled for stage and uterine factors. However, when adjusted for stage and other biomarkers, including molecular subgroups, ASRGL1 does not improve prognostic stratification.

Stage distribution and prognostic accuracy of the 2023 FIGO (the International Federation of Gynecology & Obstetrics) staging system for endometrial cancer: A retrospective cohort study.

To assess the stage distribution and stage-related disease-specific survival rates for endometrial cancer using the FIGO (the International Federation of Gynecology & Obstetrics) 2009 and 2023 staging systems. Further, we sought to evaluate the prognostic utility of additional covariates beyond the FIGO 2023 stage. Endometrial carcinomas were molecularly classified by the Proactive Molecular Risk Classifier for Endometrial Cancer and staged according to FIGO 2009 and 2023 criteria. Disease-specific survival was calculated as the time from surgery to death from endometrial cancer. Data from 604 patients were analyzed. Median follow-up time was 81 months. A total of 118 stage shifts (19.5%) occurred between the FIGO 2009 and FIGO 2023 systems, with upshifts accounting for 107 (90.7%) of these changes. Within the FIGO 2023 system, molecular classification resulted in restaging of 69 patients (11.4%). Shifts that could alter adjuvant therapy decisions were identified in 23 patients (3.8%). The FIGO 2023 system effectively categorized endometrial cancers into prognostic subgroups. The FIGO 2023 stage, tumor size, positive peritoneal cytology, and mismatch repair deficiency were associated with disease-specific survival in a multivariable analysis, whereas age and adjuvant therapy were not. The FIGO 2023 staging system for endometrial cancer appears highly prognostic. Prognostic assessment of the patients can be further enhanced by readily accessible covariates. A stage shift between the FIGO 2009 and 2023 systems occurs in about one-fifth of patients. The implementation of molecular classification within the FIGO 2023 system bears implications for decisions regarding adjuvant therapy.

Colombian consensus for the molecular diagnosis of endometrial cancer

Objective: The Cancer Genome Atlas research program (TCGA) developed the molecular classification for endometrial cancer with prognostic and therapeutic utility, which was replaced by the ProMisE (Proactive Molecular Risk Classifier for Endometrial Cancer) classification by consensus and international guidelines due to its high cost. This article aims to present national recommendations from an expert consensus that allows unification and implementation of the molecular classification for women with endometrial cancer nationwide, with a rational use of resources and technology. Methods: Consensus of 36 experts in clinical oncology, oncological gynecology, pathology, and genetics, with clinical practice in the national territory. The leader group performed a literature review and structuring of questions rated 1 to 9 points. A modified nominal group technique was used. There was a face-to-face meeting with master presentations, deliberative dialogue, and Google Forms (Google LLC, Mountain View, CA, USA) questionnaire voting with analysis and discussion of responses. The non-consensual responses led to a second round of voting. The final manuscript was finally prepared and revised. Results: Seven recommendations were formulated integrating the panelist responses based on evidence, but adjusted to the Colombian context and reality. Recommendation 1. The molecular classification is recommended in all the endometrial cancers using the immunohistochemistry markers as subrogated results from the molecular profile initially proposed in the TCGA classification. Recommendation 2. The sequential test strategy is recommended, starting with the immunohistochemistry markers (p53, MLH1, MSH 2, MSH6, PMS2) simultaneously in all the patients, defining to request POLE (DNA polymerase epsilon) (if available) according to the risk classification based on the surgical piece. Recommendation 3. It is recommended, that the gynecologist oncologist should be the one to request the POLE (if available) according to the final pathology report. This test must be requested for all endometrial cancers stage I-II, except in low risk (stage IA low grade endometrioid histology without linfovascular invasion normal p53) and, stages III-IV without residual disease, without affecting the request of subrogated immunohistochemistry molecular markers upon histology. The consensus proposes that the POLE is requested after the immunohistochemistry and according to the categories in the risk classification established by the 2020 ESGO/ESTRO/ESP guidelines. Recommendation 4. It is recommended to perform immunohistochemistry for hormonal receptors for all women with endometrial cancer and the HER2 in patients with p53abn, simultaneously with the others immunohistochemistry markers. Recommendation 5. It is recommended to perform the immunohistochemistry markers (p53, MLH1, MSH2, MSH6 y PMS2) in an initial endometrial biopsy or curettage when the specimen is adequate and available. In case the initial immunohistochemistry is inconclusive, or there are histological discrepancies between the initial and definitive pathology, it is recommended to repeat the molecular profile in the surgical pathology. The immunohistochemistry markers must be reported in the pathology report according to the CAP (College of American Pathologists) recommendations, independently of the type of sample. Recommendation 6. It is recommended to perform MLH1 promoter methylation testing in patients who exhibit loss of expression of MLH1 in immunohistochemistry whether it is accompanied or not with loss of expression of PMS2. All the patients with deficient MMR (mismatch repair), should be sent for genetic counseling to rule out Lynch syndrome. Recommendation 7. It is recommended to consider the molecular classification in addition to the classical histopathological criteria when making adjuvant judgments, as incorporated by the classification of prognostic groups of the 2020 ESGO/ESTRO/ESP guidelines. Conclusions: It is necessary to implement the molecular classification of endometrial cancer in clinical practice in accordance to the Colombian context, due to its prognostic and probably predictive value. This will enable the characterization of the Colombian population in order to offer individualized guided treatments. This is an academic and nonregulatory document.

Abstract PR002: Proteomic profiling of endometrial carcinomas

Abstract While endometrial cancer (EC) has an overall favorable prognosis, some patients do poorly and may benefit from refinements of current classification systems. The TCGA-inspired pragmatic molecular classification tool Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) has been integrated into international guidelines for EC risk stratification and management. ProMisE stratifies ECs into four prognostic groups: POLEmut, NSMP (no specific molecular profile), MMRd (mismatch repair deficient), and p53abn, where POLEmut has the best prognosis and p53abn has the worst prognosis. Our objective was to determine if proteomic profiling could provide additional prognostic or predictive information for EC patients, across or within ProMisE molecular subtypes. Global proteome profiling of FFPE samples, that had clinicopathologic and outcome data, was performed on 184 ECs encompassing all four ProMisE subtypes, including replicate samples of the same tumor, and both biopsy and final hysterectomy specimens. To ensure representation of each subtype, we aimed for an approximately equal distribution; 40 (27 %) MMRd, 33 (22 %) POLEmut, 42 (28 %) NSMP and 33 (22 %) p53abn, rather than the population-based distributions. There was high reproducibility in the proteomic profiles of intra-tumor replicate samples, and between matched biopsy and hysterectomy tumor samples (Pearson’s correlation &amp;gt;0.9). Consensus clustering generated four clusters, named ‘Adhesion’, ‘Immune’, ‘Proliferation’, and ‘Metabolic’ based on proteins enriched in each cluster. The Proliferation Cluster had the worst outcomes and the highest proportion of stage III/IV, serous, and p53abn tumors than the other clusters. The Immune Cluster had the most favorable outcomes, despite having a relatively substantial proportion of stage III/IV, serous, and p53abn tumors. We correlated protein expression with common mutations, including ARID1A mutations that cause loss of ARID1A protein expression, found in up to 60% ECs. ARID1A positive tumors also express proteins in the retinoic acid signaling pathway, while ARID1A-deficient tumors express proteins indicative of neutrophil infiltration. Comparing molecular subtypes, we found p53abn ECs were enriched in proteins associated with poor outcomes in many tumor types, such as GRB7. We validated elevated GRB7 expression in p53abn tumors using immunohistochemistry and found an association with worse disease specific survival (DSS) across the whole cohort (HR=2.39). Nucleolin expression was associated with worse prognosis in the NSMP subtype (DSS HR=9.88), while BABAM1 expression was associated with better prognosis within p53abn tumors (DSS HR=2.43). Knockout of BABAM1 (part of the BRCA complex) in cell lines resulted in increased sensitivity to PARP inhibition. Proteomic analysis of EC identifies candidate prognostic markers that may further refine current molecular classification and help guide treatment decisions. New therapeutic interventions could be developed to target proteins and pathways identified by EC proteomic profiling. Citation Format: Dawn R. Cochrane, Gian Luca Negri, Jutta Huvila, Juliana Sobral de Barros, Forouh Kalantari, Nissreen Mohammad, David Farnell, Emily Thompson, Amy Lum, Sandra E. Spencer, Amy Jamieson, Samuel Leung, Derek Chiu, Martin Koebel, Stefan Kommoss, Friedrich Kommoss, Blake Gilks, Lien Hoang, David Huntsman, Gregg B. Morin, Jessica N. McAlpine. Proteomic profiling of endometrial carcinomas [abstract]. In: Proceedings of the AACR Special Conference on Endometrial Cancer: Transforming Care through Science; 2023 Nov 16-18; Boston, Massachusetts. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(5_Suppl):Abstract nr PR002.

A single-institution retrospective exploratory analysis on the effectiveness and safety of lenvatinib plus pembrolizumab for advanced endometrial cancer: insights from ProMisE molecular classification system.

The Proactive Molecular Risk Classifier for Endometrial Cancer has identified four risk groups for the prognosis of endometrial cancer. Lenvatinib plus pembrolizumab was recently approved as a second-line treatment for unresectable endometrial cancer, but reports in clinical practice are lacking. The relationship between the efficacy of lenvatinib/pembrolizumab and Proactive Molecular Risk Classifier for Endometrial Cancer classification is unclear. This single-centre retrospective study included patients who underwent lenvatinib/pembrolizumab therapy at Iwate Medical University Hospital between January 2022 and March 2023. Formalin-fixed paraffin-embedded specimens obtained from patients before treatment were collected and classified into the mismatch repair-deficient, p53 abnormal and no specific molecular profile subtypes using immunohistochemistry. The response rate, progression-free survival and adverse events were evaluated using electronic medical records. The study was approved by the hospital's ethics committee (approval number: MH2022-093). This study enrolled 20 patients, who underwent a median follow-up of 17.8months (95% confidence interval: 16.6-18.9). The best overall response rate was 60.0% (36.1-80.9), and the median progression-free survival was 11.6months (2.9-20.3). The median progression-free survival in the p53 abnormal group (n =9) was 3.4months (3.0-3.8); however, progression-free survival did not reach the median (P<0.001) in the mismatch repair-deficient/no specific molecular profile group (n=11). Symptomatic immune-related adverse events (except hypothyroidism) occurred in 4/20 (25.0%) patients, and partial responses were observed in all cases. No treatment-related deaths occurred. The p53abn group in the Proactive Molecular Risk Classifier for Endometrial Cancer classification has a poor prognosis even after treatment with lenvatinib/pembrolizumab.

Clinicopathological characteristics of endometrial carcinoma with different molecular subtypes and their correlation with lymph node metastasis.

Endometrial carcinoma (EC) is one of the three major malignancies of the female reproductive organs. With intense research of tumor molecular mechanisms and development of precision medicine in recent years, the traditional pathomorphological classification fails to meet the needs of clinical diagnosis and treatment for EC. This study aims to analyze the correlation of different Proactive Molecular Risk Classifier for Endometrial Cancer molecular subtypes with lymph node metastasis (LNM) and other clinical features in EC. 120 treatment-naive EC patients with surgery were enrolled in this study. The molecular subtypes of these patients were classified as follows by Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) molecular subtyping: mismatch repair deficiency (MMRd) in 22 cases (18.33%), polymerase epsilon exonuclease domain mutation (POLE EDM) in 2 cases (1.67%), p53 wild-type (p53-wt) in 64 cases (53.33%), and p53 abnormal (p53-abn) in 32 cases (26.67%). The clinicopathological features of 120 patients were retrospectively analyzed. Statistical significance was identified among the four molecular subtypes in terms of histological classification, International Federation of Gynecology and Obstetrics (FIGO) staging, pathological grading, and LNM. Among the enrolled cases, 26 had LNM and 94 had no lymph node involvement. According to the multivariate Logistic regression analysis, p53 wt (P=0.008, OR=0.078, 95% CI: 0.012-0.510) was a protective factor for LNM in EC patients, while poorly differentiated histology (P=0.001, OR=15.137, 95% CI: 3.013-76.044) was a risk factor. ProMisE classification system, being more objective and reproducible, can provide an important reference for preoperative decision-making. The patients with p53 wt by ProMisE had a low risk of LNM in preoperative diagnostic curettage specimens, while there was a higher risk of LNM among the patients with poorly differentiated EC.

Efficacy of fertility-sparing treatment with LNG-IUS is associated with different ProMisE subtypes of endometrial carcinoma or atypical endometrial hyperplasia.

To determine whether proactive molecular risk classifier for endometrial cancer (ProMisE) could be used to assess the prognosis of patients with atypical endometrial hyperplasia (AEH) or early-stage endometrial cancer (EC) treated with levonorgestrel-releasing intrauterine system (LNG-IUS). A retrospective cohort study was conducted among 93 AEH or early-stage EC patients who received LNG-IUS to preserve fertility . By immunohistochemistry and gene sequencing, 4 subtypes of ProMisE were identified (p53 wild type [p53 wt], mismatch repair-deficient [MMRd], p53-abnormal, and POLE-mutated). The primary outcome was the time to complete response (CR) after LNG-IUS therapy. Secondary outcomes included the recurrence rate after CR and success rate of conception. Among the 93 patients, 15 (16.1%) were classified as MMRd, 6 (6.5%) as POLE-mutated, 5 (5.4%) as p53-abnormal, and 67 (72.0%) as p53 wt. Comparison of serum cancer antigen 125, family history of tumor, and positive rates of programmed cell death 1 ligand 1 protein and Ki67 protein in 4 groups showed statistically significant differences (p<0.05). Patients with the p53-abnormal subtype had the lowest overall CR rate (40%) and the highest recurrence rate (2/2). Patients with POLE-mutated subtype had the best prognosis, and all 6 patients achieved CR. When patients achieved complete remission, assisted reproductive technology was more likely to help them conceive than natural conception (p<0.05). Patients with early-stage EC or AEH who are more likely to benefit from fertility-sparing treatment can be identified using ProMisE classifier. Patients with POLE-mutated are suitable for fertility-sparing treatment with LNG-IUS.

Comparison of Molecular and Clinicopathologic-Based Classifications and the Transition of Adjuvant Treatment Mode for Early-Stage Endometrial Cancer

Due to the division in classification strategies based on different molecular and clinicopathologic guidelines, the current emergence of multiple molecular typing methods greatly challenges the traditional classification-guided hierarchical treatment model. The early-stage ECs who underwent a total hysterectomy and comprehensive molecular analyses were analyzed consecutively between May 2021 and December 2022. All enrolled patients were performed with immunohistochemistry for lymph-vascular space invasion (LVSI), p53, and mismatch repair (MMR) proteins, NGS-panel Sanger sequencing for POLE exonuclease domain, and TP53. The Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) classifier and the ESGO/ESTRO/ESP guidelines with and without molecular character were respectively employed to reclassify the enrolled patients. Categorical variables of the risk-group shift were compared by Pearson's χ2 or two-sided Fisher's exact test. A total of 81 early-stage ECs patients were enrolled. Molecular analyses identified four subgroups across the 81 ECs: 9 (11%) POLE mut, 22 (27.1%) MMRd, 38 (46.9%) NSMP, and 12 (14.8%) p53 abn. Compared with ESGO/ESTRO/ESP 2016 classifier, 26 (32.1%) and 23 (28.4%) patients in ESGO/ESTRO/ESP 2020 cohort with and without molecular classification, respectively, were risk-group downshifted (p>0.05). Ten (12.3%) patients were upshifted in ESGO/ESTRO/ESP 2020 molecular classification comparing to clinical classifier. Remarkably, two patients demonstrated discordance between the ProMisE and TCGA classifiers since the different sequences of classification strategies. On the other hand, 48 of 81 patients received adjuvant radiotherapy, and 12 patients received external beam radiation therapy (EBRT). According to the final molecular test, eight of 12 were classified into low and intermediate risk. The treatment of endometrial cancer is in a period of transition from the clinicopathologic-based model to the era of molecular precision. Discordance between different classifiers and overtreatment remain in clinical practice. Therefore, we should be cautious about using molecular typing to guide adjuvant treatment decisions until it is finally validated in prospective trials.

The association of progesterone receptor and abnormal p53 expression in endometrioid endometrial cancer.

e17611 Background: Based on the TCGA endometrial cancer study results, a clinically applicable classification that identifies distinct subgroups with prognostic signature, the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE), has been built and validated. It shows that those with abnormal expression of p53 (p53abn) are the group with the worst prognosis. We attempted to explore the association of p53abn and progesterone receptor (PR) in endometrioid endometrial cancer. Methods: We included 397 consecutive endometrial cancer cases of endometrioid histology with adequate tumor tissue in the formalin-fixed, paraffin-embedded (FFPE) block and available follow-up information. This study was granted by Chang Gung Medical Foundation IRB 201702242B0D001. Sanger sequencing to assess the POLE exonuclease domain hotspot mutations of exon 9-14 and immunohistochemical staining on FFPE tumor tissue sections for p53, ER, PR, and mismatch repair proteins were performed. Immunohistochemical p53 expression of cancer cell nucleus was recorded as completely negative (0%), weakly positive (1-59%), and diffusely strong positive (&gt;60%). Tumors with weak positive p53 staining were defined as p53 wild type (p53wt), while the other two were defined as p53 abnormal (p53abn). PR scores were calculated by multiplying the average staining intensity by the tumor cell nucleus stained percentage. We arbitrarily defined a progesterone receptor score of 100 or higher as positive (PR+). Progression-free and endometrial cancer-specific overall survivals starting at the date of diagnosis were evaluated using Kaplan-Meier method and compared by log-rank test between groups. Results: PR was positive in 82% of all studied cases. Of the 48 cases with p53abn tumor, 35(73%) were PR (+). With a median follow-up of 74 months, the progression-free survival and cancer-specific survival of patients with PR+ tumors (N = 310) were 93% and 96.8%, respectively, compared with 75% and 85.7% of those with PR- tumors (N = 70) (both p &lt; 0.001, log-rank test). Among those with P53abn, PR expression was associated with a favorable progression-free survival ( p = 0.081) and better cancer-specific survival ( p = 0.044). POLEmut, POLE mutated; dMMR, deficient mismatch repair PR+, progesterone receptor score ≥100, ER+, estrogen receptor score ≥100; p53abn, abnormal p53 expression. MMR was undetermined in 32 cases, PR in 17 cases, ER in 17 cases, and p53 was undetermined in 10 cases. POLE status was detected in all cases. Cases with POLE wild type, proficient mismatch repair, progesterone score &lt; 100, estrogen score &lt; 100 and wild type p53 were not listed in this table. Conclusions: Our study showed that incorporating PR into prognostic molecular markers for endometrioid endometrial cancer might provide further risk stratification. [Table: see text]

Prognostic significance of L1CAM expression in addition to ProMisE in endometrial cancer

ObjectiveTo investigate the prognostic significance of L1 cell-adhesion molecule (L1CAM), β-catenin, and programmed death-ligand 1 (PD-L1) in endometrial cancer (EC) patients, with a focus on p53 wild-type subgroup, for additional risk stratification. MethodsThis retrospective cohort study included EC patients classified according to Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) who underwent primary surgical treatment at the single center between January 2014 and December 2018. Immunohistochemical staining was performed for four mismatch repair (MMR) proteins, p53, L1CAM, β-catenin, and PD-L1. DNA polymerase epsilon (POLE) mutation was detected by hot spot sequencing via droplet digital polymerase chain reaction. Survival outcome of each subgroup of L1CAM, β-catenin, and PD-L1 was measured according to their expression. ResultsA total of 162 EC patients were included. Endometrioid histologic type and early-stage disease were 140 (86.4%) and 109 (67.3%), respectively. ProMisE classification assigned 48 (29.6%), 16 (9.9%), 72 (44.4%), and 26 (16.0%) patients to MMR-deficient, POLE-mutated, p53 wild-type, and p53 abnormal subgroups, respectively. L1CAM was identified as an independent poor prognostic factor for progression-free survival (PFS; adjusted hazard ratio [aHR], 3.207; 95% confidence interval (CI), 1.432–7.187; P = 0.005), whereas β-catenin and PD-L1 positivity were not associated with recurrence (P = 0.462 and P = 0.152, respectively). In p53 wild-type subgroup, L1CAM positivity was associated with worse PFS (aHR, 4.906; 95% CI, 1.685–14.287; P = 0.004). ConclusionL1CAM positivity was associated with poor prognosis in EC and further stratified the risk of recurrence in p53 wild-type subgroup, whereas β-catenin and PD-L1 were not informative for risk stratification.

Abstract 223: Identifying gene amplifications in p53 abnormal endometrial carcinomas by shallow whole genome sequencing

Abstract Endometrial carcinoma (EC) is the most common gynecologic cancer in North America. A clinically molecular classifier called ProMisE (Proactive Molecular Risk Classifier for Endometrial Cancer) was developed based on the TCGA classification. p53abn EC is the most aggressive of the four ProMisE prognostic molecular subtypes, responsible for 50-70% of EC mortality. Therapeutic advances are urgently needed to improve outcomes for these patients. This research focuses on determining the significance of HER2 and CCNE1 amplifications in p53abn EC to identify therapeutic opportunities for this aggressive cancer. Tumor DNA extracted from cores of 203 formalin-fixed paraffin-embedded (FFPE) p53abn EC were Shallow Whole Genome (sWGS) sequenced. sWGS is a high-throughput technology designed to achieve genome-wide genetic variation accurately and cost-effectively. Raw data were aligned and treated to correct CG content and discard low-quality reads. Copy number alterations were called considering 5 to 9 copies as amplification and more than 9 as high-level amplification. Amplification data was later compared to HER2 and CCNE1 whole-section immunohistochemistry (IHC). Gene amplification is one of the major molecular pathways that can drive tumorigenesis, and many amplified genes have emerged as biological markers and therapeutic targets. HER2 amplification has an important prognostic and therapeutic implications in breast and gastric cancer. It is also seen in EC, arising as a possible targeted treatment opportunity for p53abn EC using anti-HER2 drugs. CCNE1 amplifications have been reported in platinum resistance aggressive ovarian and endometrial cancers and is known to be a biomarker to predict responsive to low-dose WEE1i-ATRi. Amplifications in CCNE1 were identified in 13% (26/203) of the cohort while the IHC overexpression (2/3+) was recorded in 64% of cases. HER2 amplifications were observed in 11% (22/203) of p53abn ECs compared to the IHC overexpression (2/3+) detected in 21%. Significant intratumor heterogeneity was identified. We found discrepancy between the techniques, with IHC detecting a significantly greater proportion of p53abn ECs overexpressing HER2 and CCNE1 than amplification found on sWGS. This phenomenon may be explained by the intratumor heterogeneity that was identified during the IHC scoring. The IHC was performed in whole sections while cores were used to extract DNA for the sWGS, which may have missed the gene amplification areas. Although there are some limitations, sWGS is a relatively inexpensive assay that can be performed on FFPE, and it is able to obtain whole genome sequence at a very low coverage (between 0.4x and 1x) with over 99% accuracy for copy number calls. In recent years sWGS have been used efficiently for copy number profiling tumors and for amplification detection thus having the potential to be implemented in clinical practice to guide targeted therapy. Citation Format: Juliana Sobral de Barros, Amy Jamieson, Dawn Cochrane, Maxwell Douglas, Janine Senz, Blake Gilks, Christine Chow, Shelby Thornton, Jessica N. McAlpine, David G. Huntsman. Identifying gene amplifications in p53 abnormal endometrial carcinomas by shallow whole genome sequencing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 223.

Abstract 4615: Differential immune characteristics and anti-PD-1-induced reinvigoration capacity of tumor-infiltrating lymphocytes according to ProMisE classifier in endometrial cancer

Abstract Endometrial cancer (EC), one of the most common gynecological malignancies, has been gradually increasing worldwide. The Cancer Genome Atlas endometrial collaborative project discovered 4 distinct prognostic genomic subtypes, and the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) was developed: POLE-mutated, mismatch repair deficiency (MMR-D), non-specific molecular profile (NSMP), and p53-abnormal (p53abn). In the era of immunotherapy, immune checkpoint inhibitors (ICIs) become a definite management of EC, both as single agent or in combination with other targeted agents. However, the characteristics of the tumor immune microenvironment according to molecular classification in EC are not well known. This study was conducted to identify distinct immune properties of tumor infiltrating lymphocytes (TILs) according to molecular classification in EC and find optimal therapeutic targets in each molecular subtypes. We isolated peripheral blood mononuclear cells (PBMCs) and TILs from 81 patients with EC. The expression of immune checkpoint receptors and T-cell transcription factors of TILs were examined using flow cytometry. Sixty-six patients were evaluated according to the ProMisE algorithm based on sequencing for the presence of POLE mutations, immunohistochemistry for MMR proteins and p53 (POLE-mut, n=6; MMR-D, n=17; p53abn, n=20; NSMP, n=23). Tumors were categorized into one of the four molecular subtypes. TILs were ex vivo stimulated with anti-CD3 in the presence of anti-PD-1, and their proliferation was assessed to predict ICI-induced reinvigoration capacity of CD8 TILs. Comparing T-cell transcription factors (TCF-1 and TOX), CD8 TILs showed higher expression of TOX, and lower expression of TCF-1. When comparing the immune characteristics of TILs according to molecular subtypes, Tregs of POLE-mut showed significantly lower expression of CTLA-4 and Ki-67 than that of MMR-D. In addition, CD8 TILs of MMR-D showed higher expression of immune checkpoint receptors, including PD-1, CTLA-4, and TIM-3, and lower expression of TCF-1 than those of p53abn. CD8+TILs of p53abn showed significantly higher expression of CD226 than those of MMR-D. In particular, the frequency of antigen reactive CD39+CD103+CD8 T cells significantly lower in p53abn than in MMR-D. CD8 TILs of NSMP showed higher expression of TOX than those of MMR-D. In ex vivo T cell proliferation assay (n=49), 80.0% POLE-mut (4 of 5), 46.2% MMR-D (6 of 13), 35.7% p53abn (5 of 14) and 35.36% NSMP (6 of 17) showed enhanced proliferation of CD8 TILs upon anti-PD-1 treatment. In endometrial cancer, TILs showed distinct immune properties according to ProMisE classification. Further study is needed to develop optimal treatment targets for the p53abn and NSMP subtype, which is non-immunogenic and hardly reinvigorated by ICIs. Citation Format: Jung Chul Kim, Junsik Park, Yong Jae Lee, Sunghoon Kim, Sang Wun Kim, Jung-Yun Lee. Differential immune characteristics and anti-PD-1-induced reinvigoration capacity of tumor-infiltrating lymphocytes according to ProMisE classifier in endometrial cancer. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4615.

Immunohistochemical Markers and TILs Evaluation for Endometrial Carcinoma.

Objective: The molecular classification for endometrial cancer (EC) introduced by The Cancer Genome Atlas Research Network (TCGA) and the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) proved the existence of four molecular prognostic subtypes; however, both classifications require costly technology. We suggest a prognostic model for EC based on immunohistochemistry (IHC) and tumor-infiltrating lymphocytes (TILs). Study design: One hundred patients were included. We retrospectively investigated IHC prognostic parameters: mismatch repair (MMR)-deficient tumors, p53 mutation status, progesterone receptors (PgRs), and estrogen receptors (ERs). We further evaluated TILs. These parameters were related to the clinical and morphological features and to the outcome. Results: We classified tumors into three groups (IHC analysis): MMR-deficient, p53-mutated, p53 wild-type. MMR-deficient tumors had a good prognosis, p53 wild-type tumors an intermediate one, and p53-mutated tumors had the poorest outcomes. Disease-free (DFS) and overall survival (OS) were significantly better among PgR+ tumors (respectively p = 0.011 and p = 0.001) and PgR expression is an independent prognostic factor for a better DFS frommultivariate analysis (OR = 0.3; CI: 0.1–0.9; p = 0.03).No significant correlation was observed between DFS and TILs. However, among MMR-deficient tumors, the mean value of TILs was higher than among the other tumors(111 versus 71, p = 0.01) Conclusions: The prognostic model based on IHC markers could potentially be a valid and applicable alternative to the TCGA one. The PgR determination could represent an additional prognostic factor for EC.

The prognosis of endometrial cancers stratified with conventional risk factors and modified molecular classification.

This study aimed to validate the Proactive Molecular Risk Classifier for Endometrial Cancer, a modified version of The Cancer Genome Atlas, using data from 184 patients with endometrial cancer (median age: 57.5 years; median follow‐up period: 109 months) who had undergone radical surgery (including systemic lymphadenectomy) and subsequent adjuvant chemotherapy (patients with intermediate or high recurrence risk) from 2003 to 2015. Tissue microarrays were prepared from surgical specimens and classified using the conventional clinical risk classifier. Immunohistochemistry was used to detect mismatch repair proteins, L1 cell adhesion molecule, and p53. Direct sequencing was used to identify hotspot mutations in the polymerase‐epsilon gene. Forty‐five patients were identified as having high L1 cell adhesion molecule expression, 41 as low risk, 34 as mismatch repair‐deficient, 13 as polymerase‐epsilon gene‐mutated, five as having abnormal p53, and 46 as other. Patients were stratified into significantly different prognostic groups (p < 0.0001): favorable (low risk and polymerase‐epsilon gene‐mutated), intermediate (mismatch repair‐deficient and other), and unfavorable (high L1 cell adhesion molecule expression and abnormal p53) with 5‐year disease‐specific survival rates of 100%, 93.8%, and 75.1%, respectively (Kaplan–Meier method). The combination of conventional recurrent risk classification, sequencing for polymerase‐epsilon gene mutations and immunohistochemistry for L1 cell adhesion molecule, p53, and mismatch repair proteins can be used to determine the prognoses of patients with endometrial cancer.

Identification of a novel subtype of endometrial cancer with unfavorable outcome using artificial intelligence-based histopathology image analysis.

5594 Background: Molecular subtyping of endometrial cancer (EC), unlike histopathological evaluation, offers an objective and reproducible classification system that has strong prognostic value and therapeutic implications. The Proactive Molecular risk classifier for Endometrial cancer (ProMisE) was developed by our team as a pragmatic, cost-effective, and clinically applicable molecular classifier for EC patients. ProMisE has four subtypes: (i) POLE mutant ( POLEmut), (ii) mismatch repair deficient (MMRd), (iii) p53 abnormal (p53abn) by immunohistochemistry, and (iv) NSMP (No Specific Molecular Profile), lacking any of the defining features of the other three subtypes. While ProMisE subtypes are associated with clinical outcomes, within each subtype, there are clinical/prognostic outliers. This is particularly true within the largest ProMisE subtype; NSMP (representing ̃50% of ECs), where a subset of patients experience a very aggressive disease course, comparable to what is observed in patients with p53abn ECs. Methods: We hypothesized that objective assessment of the digitized hematoxylin and eosin (H&amp;E)-stained histopathology slides of the largest and most diverse EC subset, NSMP, could potentially identify clinical outcome outliers. As such, we developed an artificial intelligence (AI)-based image analysis model to identify the NSMP cases that had similar histopathological features to the p53abn subtype, as assessed by H&amp;E stain. We used a discovery cohort of 182 and an external validation cohort of 195 NSMP ECs. Results: Our AI-based image analysis model, based on deep convolutional neural networks, identified 21 (11.5%) out of the 182 NSMP cases with similar histopathological features as p53abn cases. We refer to these cases as ‘p53abn-like’ NSMPs. Compared to the rest of the NSMP cases, these cases had markedly inferior disease-specific survival (DSS) (10-year DSS 58.9% vs. 93.1% ( p&lt;3.44e-8)) and progression-free survival (PFS) (10-year PFS 55.1% vs. 91.4% ( p&lt;3.76e-6)). These findings were confirmed in our validation cohort, with 10.7% of the 195 patients categorized as ‘p53abn-like’ tumors with 10-year DSS of 82% vs. 51.3% ( p&lt;5.28e-5) and PFS of 89.3% vs. 56.6% (p&lt;2.15e-4). Conclusions: Utilizing an AI-based approach for histopathology image analysis, we have discovered ‘p53abn-like’ NSMPs, a novel subtype of NSMP ECs with morphological features similar to p53abn cases. ‘p53abn-like’ NSMPs exhibit similar clinical behavior as p53abn, having noticeably inferior outcome compared to the rest of the NSMP cases in two independent cohorts. These findings warrant further molecular investigation of this novel subtype of EC to identify the biological underpinning and future therapeutic strategies.

Molecular Classification in Patients With Endometrial Cancer After Fertility-Preserving Treatment: Application of ProMisE Classifier and Combination of Prognostic Evidence.

The Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) is a molecular classification system that identifies endometrial cancer (EC) into four prognostically distinct subtypes: POLE-mutated, mismatch repair deficiency (MMR-D), p53 wild-type (p53wt), and p53 abnormal (p53abn). However, few reports have applied the ProMisE classifier to EC patients who underwent fertility-preserving treatment (FPT) so far. This study evaluated whether the ProMisE classifier predicted in early-stage EC patients after FPT. We first summarized the three reported outcomes of ProMisE applied to EC patients who received FPT. The hormone-treated patients with EC from 2010 to 2020 in our facility were then analyzed. By sequential immunohistochemistry and Sanger sequencing of POLE according to the ProMisE system, formalin-fixed paraffin-embedded blocks of patients before treatment were collected and classified into POLE-mutated, MMR-D, p53wt, and p53abn subtypes. The primary outcome was a complete response rate after FPT. Thirteen patients were enrolled from our facility, with 3 (3/13) MMR-D, 0 (0/13) POLE, 8 (8/13) p53wt, 1 (1/13) p53abn, and 1 (1/13) failed with DNA amplification. Six (6/8) patients with p53wt, 2 (2/3) patients with MMR-D, and 1 (1/1) patient with p53abn achieved a complete response in 6 months after treatment. The results of our study and the reported outcomes were finally combined. A total of 106 patients who underwent FPT were included. Of these, 23 (21.7%) were classified as MMR-D, 3 (2.8%) as POLE-mutated, 3 (2.8%) as p53abn, and 77 (72.6%) as p53wt. There was no significant difference in the complete response rate (P = 0.152) and recurrence rate (P = 0.174) between MMR-D and p53wt subtypes after FPT. Based on current data, we observed no prognostic significance of the ProMisE classifier in EC patients who underwent FPT. Larger prospective studies are needed to elucidate the precise prognostic meaning of this molecular classifier in these cases.

Clinical impact of genetic alterations of CTNNB1 in patients with grade 3 endometrial endometrioid carcinoma

To identify prognostic factors in patients with grade 3 (high‐grade) endometrial endometrioid carcinoma, we evaluated the spectrum of genomic alterations and examined whether previously reported molecular subtypes of endometrial carcinoma were adapted to clinical outcome prediction. Seventy‐five Japanese patients with grade 3 endometrial endometrioid carcinoma, who underwent a potentially curative resection procedure between 1997 and 2018 at the National Cancer Center Hospital, were included. We classified the patients into four risk groups of the disease based on the Proactive Molecular Risk Classifier for Endometrial Cancer. Genomic alterations in PTEN, ARID1A, TP53, and PIK3CA were detected in more than 30% of the patients. Overall survival and recurrence‐free survival of patients with genomic alterations in CTNNB1 were poorer than those of patients with wild‐type CTNNB1 (p = 0.006 and p = 0.004, respectively). Compared with that of alterations prevalent in Caucasians, the frequency of genomic alterations in POLE and TP53 was higher in our study than in The Cancer Genome Atlas dataset (p = 0.01 and p = 0.01, respectively). The tendency for recurrence‐free survival in the POLE exonuclease domain mutation group was better than that in the TP53 mutation and mismatch repair‐deficient groups (p = 0.08 and p = 0.07, respectively), consistent with the Proactive Molecular Risk Classifier for Endometrial Cancer risk classifier definition. The CTNNB1 mutation is a potential novel biomarker for the prognosis of patients with grade 3 endometrial endometrioid carcinoma, and prognosis classification using Proactive Molecular Risk Classifier for Endometrial Cancer may help screen Japanese patients with the disease.

Clinicopathologic vs. Molecular Integrated Prognostication of Endometrial Carcinoma by European Guidelines.

Simple SummaryThe European Society of Gynaecological Oncology (ESGO), European Society for Radiotherapy and Oncology (ESTRO), and European Society of Pathology (ESP) published joint guidelines in January 2021 that provide recommendations on all relevant issues of diagnosis and treatment in endometrial carcinoma. Assessment of prognosis and adjuvant therapy decisions are based on classification of endometrial carcinomas into five risk groups with specific clinicopathologic features. Integration of molecular classification, originally described by The Cancer Genome Atlas, is encouraged for a more personalized risk assessment when molecular tools are available. We found that clinicopathologic and molecular integrated risk groups were similarly associated with distinct prognoses. The p53 abnormal molecular subgroup and mismatch repair deficient molecular subgroup were associated with poor survival within clinicopathologic low-risk and high-intermediate-risk carcinomas, respectively. Molecular classification caused a risk-group shift in 6–7% of patients. Comprehensive molecular classification was needed in 40% of patients for molecularly directed adjuvant therapy.This was a retrospective study of 604 patients with endometrial carcinoma, classified into ESGO-ESTRO-ESP 2021 clinicopathologic and molecular integrated risk groups. The Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) and Leiden classifier were employed for molecular classification. Median follow-up time was 81 months. Clinicopathologic and molecular integrated risk groups were similarly associated with distinct prognoses (p < 0.001). Disease-specific survival was similar for all molecular subgroups within clinicopathologic intermediate-risk, high-risk, and advanced/metastatic groups. In contrast, the p53 abnormal subgroup (hazard ratio 9.1, 95% confidence interval 2.0–41; p = 0.004) and mismatch repair deficient subgroup (hazard ratio 3.5, 95% confidence interval 1.2–10; p = 0.024) were associated with disease-related death within clinicopathologic low-risk and high-intermediate-risk carcinomas, respectively. A risk-group shift occurred in 6.0% (36/604) and 7.4% (38/515) of patients classified by ProMisE and Leiden, respectively (p = 0.341). Of the 36 patients shifted in the ProMisE cohort, 27 were upshifted and 9 downshifted. Based on the Leiden classifier, polymerase-ϵ sequencing could be omitted in 60% (311/515) of patients without affecting the risk-group assessment. ESGO-ESTRO-ESP 2021 guidelines provide a platform for risk classification in future trials on molecularly directed treatment of endometrial carcinoma.