Subtype Of Endometrial Cancer Research Articles

High-level tumour methylation of BRCA1 and RAD51C is required for homologous recombination deficiency in solid cancers.

In ovarian and breast cancer, promoter methylation of BRCA1 or RAD51C is a promising biomarker for PARP inhibitor response, as high levels lead to homologous recombination deficiency (HRD). Yet the extent and role of such methylation in other cancers is not clear. This study comprehensively investigated promoter methylation of eight homologous recombination repair genes across 23 solid cancer types. Here, we showed that BRCA1 methylated cancers were associated with reduced gene expression, loss of heterozygosity (LOH), TP53 mutations and genomic features of HRD. We identified BRCA1 methylation in 3% of the copy-number high subtype of endometrial cancer, and as a rare event in six other cancer types, including lung squamous cell, pancreatic, bladder and stomach cancer. RAD51C promoter methylation was widespread across multiple cancer types, but HRD features were only observed for cases which contained high-level tumour methylation and LOH of RAD51C. While RAD51C methylation was frequent in stomach adenocarcinoma (6%) and low-grade glioma (2.5%), it was mostly detected at a low tumour level, suggestive of heterozygous methylation, and was associated with CpG island methylator phenotype. Our findings indicate that high-level tumour methylation of BRCA1 and RAD51C should be explored as a PARP inhibitor biomarker across multiple cancers.

Sulindac exhibits anti-proliferative and anti-invasive effects in uterine serous carcinoma cells.

Uterine serous carcinoma (USC) is a highly aggressive and frequently recurring subtype of endometrial cancer with limited treatment options for advanced or recurrent stages. Sulindac, a classic non-steroidal anti-inflammatory drug, has demonstrated anti-tumor activity in several pre-clinical tumor models. This study aims to evaluate the effect of sulindac on cell proliferation and invasion in USC cells. Human USC cell lines ARK-1 and SPEC2 were treated with different concentrations of sulindac. Cell proliferation was assessed using MTT and colony formation assays. ELISA assays measured cellular stress, cleaved caspase 3 activity, antioxidant ability, and adhesion. Cell cycle arrest was evaluated by Cellometer. The invasive capability was detected by wound healing assay. Western blotting was used to analyze the changes in protein expression induced by sulindac. Exposure to sulindac decreased cellular viability in a dose-dependent manner in ARK-1 and SPEC2 cells. Sulindac effectively inhibited cell cycle progression, increased cellular stress, caused apoptosis, and reduced cell adhesion and invasion in USC cells. Additionally, sulindac decreased the expression of COX-2 and blocked phosphorylation of NF-κB induced by TNF-α. Sulindac is a potential therapeutic agent for USC that deserves further exploration in pre-clinical studies and potentially future clinical trials.

Endometrial Clear Cell Carcinoma with Non-Gestational Uterine Choriocarcinoma Differentiation.

Choriocarcinoma is a rare and highly malignant tumor that primarily occurs in women of reproductive age. Choriocarcinoma can be classified as gestational or nongestational, based on its pathogenetic origin. Although primary nongestational choriocarcinoma has been described in the ovaries, it is very rare in the uterus, especially in postmenopausal women. It is crucial to differentiate between gestational and non-gestational choriocarcinoma, as it affects the choice of treatment and prognosis. Endometrial clear cell carcinoma is an aggressive subtype of endometrial cancer, accounting for less than 10% of all uterine carcinomas. Trophoblastic differentiation in uterine cancer is unusual and very rare, with only three examples of the subtype of clear cell endometrial cancer with gestational choriocarcinoma reported in the literature, including only one with nongestational choriocarcinoma. Here, we present an example of clear cell carcinoma with nongestational uterine choriocarcinoma differentiation in a postmenopausal woman.

Human epidermal growth factor 2 (HER2) amplification in uterine serous carcinoma: an analysis of prognosis and immune microenvironment.

Uterine serous carcinoma (USC) is a biologically aggressive subtype of endometrial cancer. Anti-human epidermal growth factor receptor 2 (HER2) therapy has demonstrated its promising effects on HER2-positive USC. However, data on prognostic relevance and immune microenvironment are limited in HER2-positive USC. This study aimed to determine the clinicopathologic features, prognosis, and the immune microenvironment trait in HER2 status in USC. We applied immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), and multi-color immunofluorescence to investigate HER2 expression and amplification, PD-L1 expression, and tumor infiltration lymphocytes (TIL) in 77 USC (61 pure and 16 mixed-type USC). HER2 IHC 1 + , 2 + , and 3 + were found in 26, 18, and 10 USC, respectively. HER2 staining frequently had an incomplete membrane (basolateral or "U"-shaped) pattern. Twenty-three cases (23/54, 42.6%) showed an intra-tumor heterogeneous staining. HER2 amplification was present in 16/77 (20.8%) USC. HER2 amplification was significantly associated with deep myometrial invasion (> 1/2), and increased intra-epithelial and stromal density of CD20 + or CD8 + TIL (all P < 0.05), but not with USC subtypes (pure versus mixed-type), PD-L1 expression, CD4 + TIL, CD68 + histiocytes, or the CD4 + /CD8 + ratio (p > 0.05). HER2 amplification was associated with poor overall and progression-free survival in USC, but lost the prognostic significance on multivariate analysis. We concluded that HER2 amplified USC had adverse clinical outcomes, but showed the potential active immune microenvironment. Our findings raised the possibility of the combined anti-HER2 and immunotherapy for HER2-positive USC in the future.

Mapping Single-Cell Transcriptomes of Endometrium Reveals Potential Biomarkers in Endometrial Cancer.

The heterogeneity and dynamic changes of endometrial cells have a significant impact on health as they determine the normal function of the endometrium during the menstrual cycle. Dysfunction of the endometrium can lead to the occurrence of various gynecological diseases. Therefore, deconvolution of immune microenvironment that drives transcriptional programs throughout the menstrual cycle is key to understand regulatory biology of endometrium. Herein, we comprehensively analyzed single-cell transcriptome of 59,397 cells across ten human endometrium samples and revealed the dynamic cellular heterogeneity throughout the menstrual cycle. We identified two perivascular cell subtypes, four epithelial subtypes and four fibroblast cell types in endometrium. Moreover, we inferred the cell type-specific transcription factor (TF) activities and linked critical TFs to transcriptional output of diverse immune cell types, highlighting the importance of transcriptional regulation in endometrium. Dynamic interactions between various types of cells in endometrium contribute to a range of biological pathways regulating differentiation of secretory. Integration of the molecular biomarkers identified in endometrium and bulk transcriptome of 535 endometrial cancers (EC), we revealed five RNA-based molecular subtypes of EC with highly intratumoral heterogeneity and different clinical manifestations. Mechanism analysis uncovered clinically relevant pathways for pathogenesis of EC. In summary, our results revealed the dynamic immune microenvironment of endometrium and provided novel insights into future development of RNA-based treatments for endometriosis and endometrial carcinoma.

Adjuvant Treatment of Stage I-II Serous Endometrial Cancer: A Single Institution 20-Year Experience.

Background: Serous endometrial carcinoma (SEC) is a high-risk subtype of endometrial cancer. The effectiveness of multiple adjuvant therapies, namely chemotherapy (CT), radiotherapy (RT), and sequential/concurrent chemotherapy with radiotherapy (CRT), have previously been investigated. However, optimal management of early-stage SEC remains unclarified. Methods: All cases of early-stage SEC (FIGO 2009 stages I-II) treated in our institution from 2002 to 2019 were identified. Patient data were documented until September 2023. Overall survival (OS) and disease-free survival (DFS) were computed using Kaplan-Meier estimates and Cox's proportional hazard model; descriptive statistical analysis was performed. Results: A total of 50 patients underwent total hysterectomy-bilateral salpingo-oophorectomy and omentectomy, displaying stage IA (60%), IB (24%), and II (16%) disease. The median follow-up was 90.9 months. Patients underwent adjuvant CRT (n = 36, 72%), CT (n = 6, 12%), or RT (n = 6, 12%). Two patients were observed and excluded from analyses. The 42 patients who received radiotherapy had pelvic external beam radiotherapy (n = 10), vaginal brachytherapy (n = 21), or both (n = 11). CRT had better OS (HR 0.14, 95%CI 0.04-0.52, p < 0.005) and DFS (HR 0.25, 95%CI 0.07-0.97, p = 0.05) than CT alone. RT displayed no OS or DFS benefits compared to CT/CRT. Recurrences were mostly distant. Acute and late G3-4 toxicities were primarily hematologic. Conclusions: Our data underline the challenge of treating SEC. CRT appears to be superior to CT alone but not to RT. Most recurrences were distant, highlighting the need for optimized systemic treatment options.

AI-based histopathology image analysis reveals a distinct subset of endometrial cancers

Endometrial cancer (EC) has four molecular subtypes with strong prognostic value and therapeutic implications. The most common subtype (NSMP; No Specific Molecular Profile) is assigned after exclusion of the defining features of the other three molecular subtypes and includes patients with heterogeneous clinical outcomes. In this study, we employ artificial intelligence (AI)-powered histopathology image analysis to differentiate between p53abn and NSMP EC subtypes and consequently identify a sub-group of NSMP EC patients that has markedly inferior progression-free and disease-specific survival (termed ‘p53abn-like NSMP’), in a discovery cohort of 368 patients and two independent validation cohorts of 290 and 614 from other centers. Shallow whole genome sequencing reveals a higher burden of copy number abnormalities in the ‘p53abn-like NSMP’ group compared to NSMP, suggesting that this group is biologically distinct compared to other NSMP ECs. Our work demonstrates the power of AI to detect prognostically different and otherwise unrecognizable subsets of EC where conventional and standard molecular or pathologic criteria fall short, refining image-based tumor classification. This study’s findings are applicable exclusively to females.

Molecular Classification of Endometrial Cancer and Its Impact on Therapy Selection.

Endometrial cancer (EC) accounts for 90% of uterine cancer cases. It is considered not only one of the most common gynecological malignancies but also one of the most frequent cancers among women overall. Nowadays, the differentiation of EC subtypes is based on immunohistochemistry and molecular techniques. It is considered that patients' prognosis and the implementation of the appropriate treatment depend on the cancer subtype. Patients with pathogenic variants in POLE have the most favorable outcome, while those with abnormal p53 protein have the poorest. Therefore, in patients with POLE mutation, the de-escalation of postoperative treatment may be considered, and patients with abnormal p53 protein should be subjected to intensive adjuvant therapy. Patients with a DNA mismatch repair (dMMR) deficiency are classified in the intermediate prognosis group as EC patients without a specific molecular profile. Immunotherapy has been recognized as an effective treatment method in patients with advanced or recurrent EC with a mismatch deficiency. Thus, different adjuvant therapy approaches, including targeted therapy and immunotherapy, are being proposed depending on the EC subtype, and international guidelines, such as those published by ESMO and ESGO/ESTRO/ESP, include recommendations for performing the molecular classification of all EC cases. The decision about adjuvant therapy selection has to be based not only on clinical data and histological type and stage of cancer, but, following international recommendations, has to include EC molecular subtyping. This review describes how molecular classification could support more optimal therapeutic management in endometrial cancer patients.

Landscape of Endometrial Cancer: Molecular Mechanisms, Biomarkers, and Target Therapy.

Endometrial cancer is one the most prevalent gynecological cancers and, unfortunately, has a poor prognosis due to low response rates to traditional treatments. However, the progress in molecular biology and understanding the genetic mechanisms involved in tumor processes offers valuable information that has led to the current classification that describes four molecular subtypes of endometrial cancer. This review focuses on the molecular mechanisms involved in the pathogenesis of endometrial cancers, such as genetic mutations, defects in the DNA mismatch repair pathway, epigenetic changes, or dysregulation in angiogenic or hormonal signaling pathways. The preclinical genomic and molecular investigations presented allowed for the identification of some molecules that could be used as biomarkers to diagnose, predict, and monitor the progression of endometrial cancer. Besides the therapies known in clinical practice, targeted therapy is described as a new cancer treatment that involves identifying specific molecular targets in tumor cells. By selectively inhibiting these targets, key signaling pathways involved in cancer progression can be disrupted while normal cells are protected. The connection between molecular biomarkers and targeted therapy is vital in the fight against cancer. Ongoing research and clinical trials are exploring the use of standard therapy agents in combination with other treatment strategies like immunotherapy and anti-angiogenesis therapy to improve outcomes and personalize treatment for patients with endometrial cancer. This approach has the potential to transform the management of cancer patients. In conclusion, enhancing molecular tools is essential for stratifying the risk and guiding surgery, adjuvant therapy, and cancer treatment for women with endometrial cancer. In addition, the information from this review may have an essential value in the personalized therapy approach for endometrial cancer to improve the patient's life.

Prognosis of isolated tumor cells and use of molecular classification in early stage endometrioid endometrial cancer

ObjectiveWe assessed the prognosis and molecular subtypes of early stage endometrioid endometrial cancer with isolated tumor cells within sentinel lymph nodes (SLNs) compared with node negative disease.MethodsPatients diagnosed with stage...

Unravelling the molecular landscape of endometrial cancer subtypes: insights from multi-omics analysis.

Endometrial cancer (EC) as one of the most common gynecologic malignancies is increasing in incidence during the past 10 years. Genome-Wide Association Studies (GWAS) extended to metabolic and protein phenotypes inspired us to employ multi-omics methods to analyze the causal relationships of plasma metabolites and proteins with EC to advance our understanding of EC biology and pave the way for more targeted approaches to its diagnosis and treatment by comparing the molecular profiles of different EC subtypes. Two-sample Mendelian randomization (MR) was performed to investigate the effects of plasma metabolites and proteins on risks of different subtypes of EC (endometrioid and non-endometrioid). Pathway analysis, transcriptomic analysis, and network analysis were further employed to illustrate gene-protein-metabolites interactions underlying the pathogenesis of distinct EC histological types. We identified 66 causal relationships between plasma metabolites and endometrioid EC, and 132 causal relationships between plasma proteins and endometrioid EC. Additionally, 40 causal relationships between plasma metabolites and non-endometrioid EC, and 125 causal relationships between plasma proteins and non-endometrioid EC were observed. Substantial differences were observed between endometrioid and non-endometrioid histological types of EC at both the metabolite and protein levels. We identified 7 overlapping proteins (RGMA, NRXN2, EVA1C, SLC14A1, SLC6A14, SCUBE1, FGF8) in endometrioid subtype and 6 overlapping proteins (IL32, GRB7, L1CAM, CCL25, GGT2, PSG5) in non-endometrioid subtype and network analysis of above proteins and metabolites to identify coregulated nodes. Our findings observed substantial differences between endometrioid and non-endometrioid EC at the metabolite and protein levels, providing novel insights into gene-protein-metabolites interactions that could influence future EC treatments.

Assessment of bidirectional relationships between hypothyroidism and endometrial cancer: a two-sample Mendelian randomization study.

Hypothyroidism, characterized by reduced thyroid hormone levels, and endometrial cancer, a prevalent gynecological malignancy, have been suggested to have a potential association in previous observational studies. However, the causal relationship between them remains uncertain. This study aimed to investigate the causal relationship between hypothyroidism and endometrial cancer using a bilateral Mendelian randomization approach. A bidirectional two-sample Mendelian randomization study was conducted using summary statistics from genome-wide association studies to identify genetic variants associated with hypothyroidism and endometrial cancer. The inverse variance weighting method was used as the main analysis, and sensitivity analyses were conducted to validate the MR results. The results of our analysis did not support a causal effect of hypothyroidism (OR: 0.93, p=0.08) or autoimmune hypothyroidism (OR: 0.98, p=0.39) on endometrial cancer risk. In the reverse MR analysis, we did not find a significant causal effect of endometrial cancer on hypothyroidism (OR: 0.96, p=0.75) or autoimmune hypothyroidism (OR: 0.92, p=0.50). Based on subgroup analysis by pathological subtypes of endometrial cancer, the above findings were further substantiated (all p-value >0.05). Our Mendelian randomization analysis suggests a lack of causal association between hypothyroidism and endometrial cancer. To gain a deeper understanding of this association, it is essential to conduct large-scale randomized controlled trials in the future to validate our findings.

VOLTA: an enVironment-aware cOntrastive ceLl represenTation leArning for histopathology

In clinical oncology, many diagnostic tasks rely on the identification of cells in histopathology images. While supervised machine learning techniques necessitate the need for labels, providing manual cell annotations is time-consuming. In this paper, we propose a self-supervised framework (enVironment-aware cOntrastive cell represenTation learning: VOLTA) for cell representation learning in histopathology images using a technique that accounts for the cell’s mutual relationship with its environment. We subject our model to extensive experiments on data collected from multiple institutions comprising over 800,000 cells and six cancer types. To showcase the potential of our proposed framework, we apply VOLTA to ovarian and endometrial cancers and demonstrate that our cell representations can be utilized to identify the known histotypes of ovarian cancer and provide insights that link histopathology and molecular subtypes of endometrial cancer. Unlike supervised models, we provide a framework that can empower discoveries without any annotation data, even in situations where sample sizes are limited.

Cervicovaginal Metabolome and Tumor Characteristics for Endometrial Cancer Detection and Risk Stratification.

Endometrial cancer is highly prevalent and lacking noninvasive diagnostic techniques. Diagnosis depends on histological investigation of biopsy samples. Serum biomarkers for endometrial cancer have lacked sensitivity and specificity. The objective of this study was to investigate the cervicovaginal environment to improve the understanding of metabolic reprogramming related to endometrial cancer and identify potential biomarker candidates for noninvasive diagnostic and prognostic tests. Cervicovaginal lavages were collected from 192 participants with endometrial cancer (n = 66) and non-malignant conditions (n = 108), and global untargeted metabolomics was performed. Using the metabolite data (n = 920), we completed a multivariate biomarker discovery analysis. We analyzed grade 1/2 endometrioid carcinoma (n = 53) and other endometrial cancer subtypes (n = 13) to identify shared and unique metabolic signatures between the subtypes. When compared to non-malignant conditions, downregulation of proline (P < 0.0001), tryptophan (P < 0.0001), and glutamate (P < 0.0001) was found among both endometrial cancer groups, relating to key hallmarks of cancer including immune suppression and redox balance. Upregulation (q < 0.05) of sphingolipids, fatty acids, and glycerophospholipids was observed in endometrial cancer in a type-specific manner. Furthermore, cervicovaginal metabolites related to tumor characteristics, including tumor size and myometrial invasion. Our findings provide insights into understanding the endometrial cancer metabolic landscape and improvement in diagnosis. The metabolic dysregulation described in this article linked specific metabolites and pathophysiological mechanisms including cellular proliferation, energy supply, and invasion of neighboring tissues. Furthermore, cervicovaginal metabolite levels related to tumor characteristics, which are used for risk stratification. Overall, development of noninvasive diagnostics can improve both the acceptability and accessibility of diagnosis.

The DNA Damage Response (DDR) landscape of endometrial cancer defines discrete disease subtypes and reveals therapeutic opportunities.

Genome maintenance is an enabling characteristic that allows neoplastic cells to tolerate the inherent stresses of tumorigenesis and evade therapy-induced genotoxicity. Neoplastic cells also deploy many mis-expressed germ cell proteins termed Cancer Testes Antigens (CTAs) to promote genome maintenance and survival. Here, we present the first comprehensive characterization of the DNA Damage Response (DDR) and CTA transcriptional landscapes of endometrial cancer in relation to conventional histological and molecular subtypes. We show endometrial serous carcinoma (ESC), an aggressive endometrial cancer subtype, is defined by gene expression signatures comprising members of the Replication Fork Protection Complex (RFPC) and Fanconi Anemia (FA) pathway and CTAs with mitotic functions. DDR and CTA-based profiling also defines a subset of highly aggressive endometrioid endometrial carcinomas (EEC) with poor clinical outcomes that share similar profiles to ESC yet have distinct characteristics based on conventional histological and genomic features. Using an unbiased CRISPR-based genetic screen and a candidate gene approach, we confirm that DDR and CTA genes that constitute the ESC and related EEC gene signatures are required for proliferation and therapy-resistance of cultured endometrial cancer cells. Our study validates the use of DDR and CTA-based tumor classifiers and reveals new vulnerabilities of aggressive endometrial cancer where none currently exist.

High prevalence of "non-pathogenic" POLE mutation with poor prognosis in a cohort of endometrial cancer from South India.

The Cancer Genome Atlas (TCGA) project identified favorable prognosis regarding the ultra-mutated endometrial cancer (EC) subtype linked to polymerase epsilon gene (POLE) mutations. This study investigated POLE mutations in EC of Indian patients. This retrospective analytical study was conducted between January 2016 and January 2023 at the Government Medical College, Kozhikode, and the MVR Cancer Center, Kozhikode, Kerala. Sanger sequencing of POLE gene exons 9 and 13 in 151 EC patients was carried out to analyze the relationship between mutations and epidemiological factors, clinicopathologic features, and treatment outcomes. Among 151 cases enrolled, 39 were unique POLE-mutated cases. Significant associations were high-grade tumors, myometrial invasion >50%, and Lymph-vascular space invasion (LVSI). The median follow-up was 40 months (95% confidence interval [CI], 34-46). A lower mean disease-specific survival (DSS) of 51.7 months (95% CI, 43.7-59.6) was noted in the POLE-mutated group compared with 72.11 months (95% CI, 67.60-76.62) for the POLE wild-type. A statistically significant hazard ratio (HR) of 2.683 for DSS in the POLE-mutated group was noted. In advanced stages (FIGO stages II-IV), a nine-fold HR for DSS and overall survival (OS) compared with POLE wild-type was identified. After controlling for treatment effects using Cox proportional HR, advanced-stage POLE-mutated tumors had a significantly higher HR of 8.67 for DSS compared with POLE-wild-type tumors of the same stage. This study identified a unique set of POLE mutations in Indian EC patients associated with poor prognosis, which were particularly pronounced in advanced stages. Advanced stage of presentation, type of POLE mutations, and possibly ethnicity are predictors of adverse outcomes in POLE-mutated EC. The present study highlights ethnicity as a determinant of phenotypic expression of genetic change.

High-dose ascorbate exerts anti-tumor activities and improves inhibitory effect of carboplatin through the pro-oxidant function pathway in uterine serous carcinoma cell lines

ObjectiveUterine serous carcinoma is a highly aggressive non-endometrioid subtype of endometrial cancer with poor survival rates overall, creating a strong need for new therapeutic strategies to improve outcomes. High-dose ascorbate (vitamin C) has been shown to inhibit cell proliferation and tumor growth in multiple preclinical models and has shown promising anti-tumor activity in combination with chemotherapy, with a favorable safety profile. We aimed to study the anti-tumor effects of ascorbate and its synergistic effect with carboplatin on uterine serous carcinoma cells. MethodsCell proliferation was evaluated by MTT and colony formation assays in ARK1, ARK2 and SPEC2 cells. Cellular stress, antioxidant ability, cleaved caspase 3 activity and adhesion were measured by ELISA assays. Cell cycle was detected by Cellometer. Invasion was measured using a wound healing assay. Changes in protein expression were determined by Western immunoblotting. ResultsHigh-dose ascorbate significantly inhibited cell proliferation, caused cell cycle arrest, induced cellular stress, and apoptosis, increased DNA damage, and suppressed cell invasion in ARK1 and SPEC2 cells. Treatment of both cells with 1 mM N-acetylcysteine reversed ascorbate-induced apoptosis and inhibition of cell proliferation. The combination of ascorbate and carboplatin produced significant synergistic effects in inhibiting cell proliferation and invasion, inducing cellular stress, causing DNA damage, and enhancing cleaved caspase 3 levels compared to each compound alone in both cells. ConclusionsAscorbate has potent antitumor activity and acts synergistically with carboplatin through its pro-oxidant effects. Clinical trials of ascorbate combined with carboplatin as adjuvant treatment of uterine serous carcinoma are worth exploring.

Uncommon Morphologic Types of Endometrial Cancer and Their Mimickers: How Much Does Molecular Classification Improve the Practice for Challenging Cases?

The previous endometrial cancer (EC) FIGO staging primarily relied on the extent of the disease spread into the anatomical sites at diagnosis. The most recent one (2023) incorporates clinicopathological features such as histological subtype, tumor grade, the extent of lymphovascular space invasion (LVI), and, when available, molecular subtypes of EC. The emphasis on accurate histological typing, tumor grading, and the molecular features of the cancer is stronger than ever. This review addresses challenging diagnostic patterns in the histologic subtyping and grading EC under five categories: 1. EC with spindle cells, 2. EC with clear cells, 3. EC with a papillary architecture, 4. EC with a biphasic morphology, and 5. EC with a microglandular architecture. The morphological features differentiating low- and high-grade cancers are discussed, along with relevant clinical work-ups. Recent molecular genetic findings regarding the diagnosis and prognosis of the disease and the results of related clinical trials are summarized. The potential challenges in the evaluation of LVI follow these sections. The final section of the review includes an overview of the literature on incorporating molecular subtypes of EC into clinical practice.

The Clinical Relevance of Fractional Curettage in the Diagnostic Management of Primary Endometrial Cancer

Objective: Hysteroscopy and fractional curettage are commonly utilized techniques for the diagnosis of postmenopausal abnormal uterine bleeding and histopathological verification of primary endometrial cancer (EC). This study delves into the clinical significance of procuring preoperative endocervical tissue in conjunction with corpus fractions through fractional curettage. Design: This retrospective study encompassed a cohort of 84 patients diagnosed with T1 stage EC and 55 patients diagnosed with T2 stage EC, who underwent primary treatment between the years 2011 and 2021 at the University Hospital Frankfurt or Jung-Stilling Hospital Siegen. Materials, Setting, Methods: Among the postoperative T2 stage EC patients, a stratification was performed based on preoperative endocervical curettage (ECC) results obtained through fractional curettage. Categorical and continuous variables were compared utilizing the Pearson χ2 test, while for multivariate analyses and regression modeling, the Kaplan-Meier method and Cox regression models were respectively employed. Results: The median age of patients with pT2 stage EC was 64 years (range: 38–85). A predominant majority of these patients exhibited the endometrioid subtype of EC (90.9%). Upon conducting comparative analysis between groups, a notably higher frequency of laparotomies was observed (p = 0.002) among patients in whom preoperatively detected positive ECC was evident. The detection performance of fractional curettage in identifying positive ECC yielded a sensitivity of 70.9% and a specificity of 73.8%. In multivariate analysis, age at diagnosis (p = 0.022), positive ECC observed during fractional curettage (p = 0.036), and the FIGO stage (p = 0.036) emerged as prognostic determinant for progression-free survival. Independent prognostic factors for overall survival (OS) were age at diagnosis (p = 0.003), positive ECC (p = 0.008), histological grading (p = 0.016), and the FIGO stage (p = 0.022). A significant difference in OS was evident between patients characterized by preoperative negative ECC and those displaying positive ECC (81.8 vs. 59.5 months, p = 0.019). Limitations: Limitations include the retrospective design of the study as well as a small number of patients. Conclusions: Preoperative determination of endocervical involvement of primary T2 stage EC could be a prognostic indicator in decision-making to treat EC. The conduct of prospective trials is necessary to definitively establish the routine application and associated benefits of fractional curettage in the context of primary EC.

Abstract PR007: Patient derived organoids as a model to study estrogen mediated endometrial cancer

Abstract The purpose of our study was to develop a more optimal in vitro model to study the mechanisms of hormone action on endometrial cancer. Endometrial cancer (EC) represents a major health disparity with a 21% increase in mortality in African American women. The cause for this excess mortality is unknown. Endometrial cancer is commonly characterized by histological subtype into Endometrioid or Non-Endometrioid with estrogen being a driver for many endometroid type tumors. Most EC cell lines do not have high expression of estrogen receptor or do not respond to physiological levels of hormones in vitro; this lack of functional experimental models has hampered progress in the study of this disease. We have developed Patient Derived Organoids (PDOs) from 9 patient-derived xenografts (PDX) that are from both African American and Non-Hispanic Caucasian women with various stages and subtypes of EC, as a model to study EC. This model system captures the characteristics of different histological and molecular subtypes in vitro, as they maintain not only EC tumor cells but also cells from the adjacent tumor stroma. Our developed PDOs were derived from multiple molecular subtypes of EC that have different characteristics and genomic features, allowing us to observe differences in the basal properties of each tumor in vitro. The use of this organoid model system is advantageous for studying EC because growth characteristics are similar to an in vivo model, with the organoids preserving the genotype and phenotype of the native EC, allowing us to observe cellular interactions. We have observed inter-organoid variation of protein expression of β-catenin, E-cadherin, and vimentin, proteins playing a pivotal role in cellular contact, signaling, and epithelial-mesenchymal transition (EMT). Using qPCR and Western blot analysis we have observed high expression levels of estrogen receptor and progesterone receptor in endometrioid type PDOs to begin the exploration of hormonal signaling in this model. Treatment of these same PDOs with β-estradiol resulted in an increase in proliferation of the stromal cells. Single cell RNA sequencing was performed on two PDO’s that had the highest expression of progesterone and estrogen receptors. This analysis demonstrated cell population heterogeneity with multiple cell clusters forming with differential gene expression. From this analysis we can see that the cells recapitulate the gene expression from the tumor of origin, with cells containing the same genetic mutation as the original patient. These results make this model potentially good for studying hormone signaling cascades seen in EC patients that have not been previously observed in established EC cell lines. These studies will also aid in the opportunity to explore the function of differential cell types in the pathogenesis of this disease. Citation Format: Breanna M.W. Jeffcoat, Andrew B. Galdden, Russell R. Broaddus. Patient derived organoids as a model to study estrogen mediated endometrial cancer [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 PR007.