Refining adjuvant treatment in endometrial cancer based on molecular features: the RAINBO clinical trial program

Modifying surgical extents in patients with preoperatively presumed early-stage endometrial cancer based on ProMisE classification: a retrospective, single-center study

OBJECTIVE

This study aimed to explore differences in disease extent based on the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) classification and to establish personalized staging surgery strategies in patients with preoperatively presumed uterus-confined endometrial cancer.

METHODS

In this retrospective, single-center study, we reviewed the medical records of patients with endometrial cancer. These patients were classified according to the ProMisE classification based on tissue samples obtained from dilation and curettage or staging surgeries, and the disease extent was analyzed based on pathologic reports.

RESULTS

A total of 345 patients were clinically estimated to be in stage 1/2 before staging surgery, with immunohistochemistry (IHC) results available. This cohort included 332 patients (96.2%) with clinical stage 1 and 13 patients (3.8%) with stage 2 based on the 2009 FIGO staging system. Among these, 81 patients (23.5%) were assigned to an mismatch repair deficient group (MMRd), 33 (9.6%) to an abnormal p53 group, and 123 (71.1%) to a no specific molecular profile (NSMP) group. Overall, 13 patients had nodal metastasis, with a higher rate observed in the abnormal p53 group (1.2%, 12.1%, and 2.2% for the MMRd, abnormal p53, and NSMP groups, respectively, p=0.013). One patient (0.3%) had parametrial metastasis and four (1.1%) had peritoneal metastasis.

CONCLUSION

Patients with abnormal p53 IHC results exhibited a higher likelihood of lymph node metastasis, even when initially presumed to be at an early stage. For the abnormal p53 group, proactive lymphadenectomy surgery appears beneficial for accurate staging and establishing a subsequent treatment plan.

ArcTEX-a novel clinical data enrichment pipeline to support real-world evidence oncology studies

Data stored within electronic health records (EHRs) offer a valuable source of information for real-world evidence (RWE) studies in oncology. However, many key clinical features are only available within unstructured notes. We present ArcTEX, a novel data enrichment pipeline developed to extract oncological features from NHS unstructured clinical notes with high accuracy, even in resource-constrained environments where availability of GPUs might be limited. By design, the predicted outcomes of ArcTEX are free of patient-identifiable information, making this pipeline ideally suited for use in Trust environments. We compare our pipeline to existing discriminative and generative models, demonstrating its superiority over approaches such as Llama3/3.1/3.2 and other BERT based models, with a mean accuracy of 98.67% for several essential clinical features in endometrial and breast cancer. Additionally, we show that as few as 50 annotated training examples are needed to adapt the model to a different oncology area, such as lung cancer, with a different set of priority clinical features, achieving a comparable mean accuracy of 95% on average.

Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence

PURPOSE

Endometrial cancer (EC) is the most common gynecologic cancer in the United States with rising incidence and mortality. Despite optimal treatment, 15%-20% of all patients will recur. To better select patients for adjuvant therapy, it is important to accurately predict patients at risk for recurrence. Our objective was to train, validate, and test models of EC recurrence using lasso regression and other machine learning (ML) and deep learning (DL) analytics in a large, comprehensive data set.

METHODS

Data from patients with EC were downloaded from the Oncology Research Information Exchange Network database and stratified into low risk, The International Federation of Gynecology and Obstetrics (FIGO) grade 1 and 2, stage I (N = 329); high risk, or FIGO grade 3 or stages II, III, IV (N = 324); and nonendometrioid histology (N = 239) groups. Clinical, pathologic, genomic, and genetic data were used for the analysis. Genomic data included microRNA, long noncoding RNA, isoforms, and pseudogene expressions. Genetic variation included single-nucleotide variation (SNV) and copy-number variation (CNV). In the discovery phase, we selected variables informative for recurrence (P < .05), using univariate analyses of variance. Then, we trained, validated, and tested multivariate models using selected variables and lasso regression, MATLAB (ML), and TensorFlow (DL).

RESULTS

Recurrence clinic models for low-risk, high-risk, and high-risk nonendometrioid histology had AUCs of 56%, 70%, and 65%, respectively. For training, we selected models with AUC >80%: five for the low-risk group, 20 models for the high-risk group, and 20 for the nonendometrioid group. The two best low-risk models included clinical data and CNVs. For the high-risk group, three of the five best-performing models included pseudogene expression. For the nonendometrioid group, pseudogene expression and SNV were overrepresented in the best models.

CONCLUSION

Prediction models of EC recurrence built with ML and DL analytics had better performance than models with clinical and pathologic data alone. Prospective validation is required to determine clinical utility.

The prognostic potential of molecular subtypes including estrogen receptor status in endometrioid ovarian cancer

BACKGROUND

The Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) has been shown to be applicable to endometrioid ovarian cancer (ENOC), classifying tumors into four molecular subgroups: POLE mutated (POLEmut), mismatch repair deficient (MMRd), p53 abnormal (p53abn), and no specific molecular profile (NSMP). However, the large NSMP subgroup in ENOC limits its clinical applicability. Incorporating estrogen receptor (ER) status has improved prognostic accuracy in NSMP endometrial cancer. Therefore, this study investigated the prognostic value of ER status in the molecular subgroups of ENOC.

METHODS

In this multicenter, retrospective cohort study, paraffin-embedded tumor tissue from surgically treated ENOC patients (1994-2021) was used for molecular classification. ER status was determined by immunohistochemistry. Survival analysis was performed using the log-rank test and Cox proportional hazards model.

RESULTS

Of the 167 included patients, 1.2 % had a POLEmut tumor, 6.6 % an MMRd tumor, 11.4 % a p53abn tumor, and 80.8 % an NSMP tumor. ER status was negative in 12 % of tumors, correlating with a significantly lower 10-year overall survival rate compared to ER-positive tumors (HR 3.51, 95 % CI 1.75-7.01, p < .001). No ER-negative tumors were found in the POLEmut and MMRd subgroups, and ER status was not prognostic in the p53abn subgroup. In the NSMP subgroup, 11.1 % of tumors were ER-negative, showing a worse 10-year overall survival rate (HR 3.92, 95 % CI 1.67-9.21, p = .002).

CONCLUSION

ER status improves prognostic stratification within the NSMP subgroup in ENOC, with ER-negative tumors associated with a worse prognosis. These findings may lead to more personalized treatment strategies for ENOC.

Activated immune infiltrates expand opportunities for targeted therapy in p53-abnormal endometrial carcinoma

Tumor protein p53 mutated/abnormal (p53abn) endometrial carcinomas account for over 50% of deaths but comprise only 15% of all endometrial carcinomas. Most patients show limited response to standard-of-care chemotherapy with or without radiotherapy, and only a minority of cases are amenable to targeted therapies like poly-ADP ribose polymerase (PARP) inhibitors and HER2-directed therapies. Recent immunotherapy clinical trials have demonstrated remarkable efficacy, not only in mismatch repair deficient (MMRd) tumors but also in a subset of mismatch repair-proficient (MMRp) tumors. However, the immune microenvironment and its relationship to other therapeutic targets in MMRp endometrial carcinoma remains poorly understood. Here, we characterize the immune microenvironment of p53abn endometrial carcinoma, the most clinically aggressive subtype of MMRp endometrial carcinoma, and correlate antitumor immune signatures with other targetable alterations. We accrued 256 treatment-naïve p53abn endometrial carcinomas and systemically profiled T-cell, B-cell, myeloid, and tumor-cell populations with multiplex immunofluorescence to assess the tissue localization and functional status of immune cells. Shallow whole-genome sequencing was performed on a subset of 126 cases. Patterns of immune infiltration were compared to survival outcomes and mutational signatures. Mixture modeling divided p53abn endometrial carcinoma into tumor-infiltrating lymphocyte (TIL)-rich and TIL-poor subsets. Over 50% of tumors were TIL-rich. TIL-rich cases overexpressed targetable immune evasion molecules and were associated with longer overall and disease-specific survival in multivariate analysis. This effect was particularly pronounced in advanced stage disease and in patients who did not receive adjuvant chemotherapy. TIL did not associate with homologous recombination deficient mutational signatures or HER2 amplification. Our findings demonstrate a biological rationale for immunotherapy in a substantial subset of patients with p53abn endometrial cancer and may help inform combination therapies with immune checkpoint inhibition, PARP inhibitors, and anti-HER2 agents. © 2025 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

The new 2023 endometrial cancer FIGO staging system: balancing innovation with complexity

In August 2023, the International Federation of Gynecology and Obstetrics introduced an updated staging system for endometrial cancer that integrates histopathologic and molecular characteristics (optional) of the tumor alongside with anatomic extent of the disease. This innovative approach aims to improve the prognostication of the system and the identification of treatment-relevant patient populations by more accurately stratifying patients based on tumor biology, representing a significant advancement toward personalized medicine. However, its implementation poses challenges, including the heterogeneous availability of molecular testing worldwide, and the need for further standardization and prospective validation of some of the newly introduced histopathological parameters. To address these innovations and related controversies, a meeting of physicians, including gynecologic oncologists and pathologists, was held. This article summarizes the reflections that emerged from this meeting, focusing on key elements such as the integration of histopathologic features (eg, "high-grade, aggressive histologic types," "substantial lymphovascular space invasion"), molecular classification, and the implications for global reproducibility and applicability. It also addresses the basic approach toward staging: should it offer integrated, patient-relevant information to enable accurate prognostication and inform treatment decisions or should a staging system simply provide a common language to communicate disease extent? The meeting provided an opportunity for a group of physicians to share considerations on this evolving topic. Our article highlights focal points of change in the new staging system and identifies key areas for future research, advocating for collaborative efforts to generate more robust evidence on some variables introduced in the staging system through prospective studies. By addressing these challenges, we aim to improve the applicability and effectiveness of the new International Federation of Gynecology and Obstetrics staging system in real-world scenarios and identify elements that may require further refinement, ultimately advancing precision medicine in endometrial cancer care.

Long-Term Follow-Up and Overall Survival in NRG258, a Randomized Phase III Trial of Chemoradiation Versus Chemotherapy for Locally Advanced Endometrial Carcinoma

This randomized phase III trial aimed to determine whether treatment with cisplatin and volume-directed radiation followed by carboplatin and paclitaxel for four cycles (chemoradiotherapy [C-RT]) increased recurrence-free survival (RFS) and overall survival (OS) when compared with carboplatin and paclitaxel for six cycles (chemotherapy [CT]) in locally advanced endometrial cancer (UC). Previously reported results showed that C-RT did not improve RFS compared with CT. Here we report the final OS analysis. Patients with International Federation of Gynecology and Obstetrics (FIGO) 2009 stage III-IVA UC or stage I/II serous or clear cell UC and positive cytology were enrolled. The primary objective was RFS. Secondary objectives were OS, toxicity, and quality of life. Cumulative probabilities of OS were estimated using the Kaplan-Meier method. Subgroup analyses of treatment effect for FIGO stage, age, race, gross residual disease, histology, lymph-vascular space invasion, and body mass index were performed. In total, 813 patients were randomly assigned (407 C-RT and 406 CT). The median follow-up was 112 months. Median OS was not achieved in either arm. The stratified hazard ratio for death comparing C-RT versus CT was 1.05 (95% CI, 0.82 to 1.34, log-rank two-sided P value = .72). None of the factors analyzed predicted OS benefit from C-RT. Although C-RT reduced the rate of local recurrence compared with CT, it did not increase OS or RFS in stage III/IVA UC.

Efficacy of PD-(L)1 inhibition in the treatment of endometrial cancer across molecular classes: a systematic review and meta-analysis

OBJECTIVE

PD-(L)1 inhibitors have shown benefit in mismatch repair-deficient (MMRd) endometrial cancer. However, their efficacy in mismatch repair-proficient endometrial cancer (comprising POLE-mutated (POLEmut), p53-abnormal (p53abn), and no-specific-molecular-profile (NSMP) molecular classes) remains unclear. This systematic review and meta-analysis evaluated the efficacy of PD-(L)1 inhibitors, as monotherapy or combined with chemotherapy, across the 4 molecular classes.

METHODS

Systematic searches were conducted across Embase, PubMed, Cochrane, and Web of Science, with manual searches of reference lists and conference websites. A total of 7 reports on 5 clinical trials were identified, with 3 included in the meta-analysis. Overall survival and progression-free survival were assessed.

RESULTS

In patients with primary advanced or recurrent MMRd endometrial cancer (n=215), adding a PD-(L)1 inhibitor to platinum-based chemotherapy significantly improved overall (HR 0.36, 95% CI 0.21 to 0.62) and progression-free survival (HR 0.35, 95% CI 0.23 to 0.53). In patients with p53abn endometrial cancer, no significant benefits in overall (HR 0.91, 95% CI 0.26 to 3.22; n=135) or progression-free survival (HR 0.84, 95% CI 0.41 to 1.70; n=326) were observed, but both were affected by significant heterogeneity. In patients with NSMP endometrial cancer, a significant benefit was observed for progression-free survival (HR 0.73, 95% CI 0.57 to 0.95; n=373), but no overall survival benefit (HR 0.93, 95% CI 0.63 to 1.39; n=242). Insufficient data were available for patients with POLEmut endometrial cancer (n=12), with no events reported in 2 of 3 clinical trials comprising the majority of patients (n=11).

CONCLUSIONS

PD-(L)1 inhibition demonstrated significant efficacy in patients with advanced or recurrent MMRd endometrial cancer. In NSMP endometrial cancer, adding a PD-(L)1 inhibitor to platinum-based chemotherapy showed potential benefit, whereas in p53abn endometrial cancer, such benefit was not found. POLEmut endometrial cancer, although rare in recurrent or metastatic settings, was associated with a favorable prognosis, regardless of treatment. These findings underscore the relevance of the molecular classification of endometrial cancer and highlight the importance of prioritizing molecular analyses in clinical trials to guide personalized PD-(L)1 inhibition strategies.

Immunotherapy for endometrial cancer

Advanced recurrent endometrial cancer (EC) has a poor prognosis and new treatment options are needed. In 2013, EC was classified by genomic analysis into four groups: the POLE ultra-mutated group, the MSI-high hypermutated group (MSI-H), the copy number low group, and the copy number high group. The prognosis differs based on the classification, which should enable the individualization of treatment. The MSI-H and POLE types can induce PD-L1 expression in cancer cells. Among the gynecological cancers, EC exhibits the highest levels of PD-1 and PD-L1 expression and has the highest proportion of MSI-H. Thus, an immune checkpoint inhibitor (ICI) is expected to be effective. The first ICI to show efficacy in recurrent EC was the anti-PD1 antibody pembrolizumab, which exhibited efficacy in MSI-H EC. The combination of pembrolizumab and the multi-kinase inhibitor lenvatinib significantly prolongs OS/PFS compared with single-agent chemotherapy in previously treated recurrent EC, regardless of MSI status. ICIs are now moving from second-line and beyond to first-line treatment regimens. The efficacy of paclitaxel plus carboplatin (TC) and ICI combinations compared with TC have been demonstrated, including an ongoing Phase III trial comparing chemotherapy with the combination of pembrolizumab and lenvatinib. Although ICIs are becoming the mainstay of EC, they cause systemic inflammatory side effects known as irAEs. The incidence of irAEs is higher for combination therapy with CT or lenvatinib compared with ICI therapy alone. Even though they are rarely fatal, irAEs should be addressed promptly.

Preclinical research models for endometrial cancer: development and selection of animal models

Endometrial cancer (EC) is the most common gynecological malignancy in developed countries, with rising incidence in recent years. Experimental animal models are crucial for studying the pathogenesis, advancing diagnostic methods, and developing new treatments. We review five main EC animal models. The use of spontaneous and chemically-induced models has decreased, with transgenic mouse and xenograft models becoming the most widely used. These models better simulate tumor molecular mechanisms and treatments, with the organoid-based patient-derived xenograft model (O-PDX) showing great promise in drug screening and personalized therapy. The application of humanized models remains limited due to technical challenges and high costs. In this review, we highlight the strengths and limitations of each model to guide researchers in their selection.

Serum CA125 levels in the context of ProMisE molecular classification provides pre-operative prognostic information that can direct endometrial cancer management

OBJECTIVE

Previous research suggests serum CA125 reflects extra-uterine disease in patients with endometrial carcinoma (EC). Our objective was to determine if CA125 can identify patients with extra-uterine and/or nodal metastases, the association of this biomarker with EC molecular subtype, and to explore an optimal cutoff in this context.

METHODS

We assessed the association of CA125 levels with clinicopathologic and outcomes data on a cohort of 1107 molecularly classified EC.

RESULTS

Abnormal CA125 (>35kU/L) was associated with higher stage and lymph node metastases (LNM) in all EC and in each molecular subtype on univariate (p < 0.01) and multivariate (p < 0.05) analyses. POLEmut had the lowest median CA125 level and proportion of CA125 abnormal patients, and p53abn the highest proportion (p < 0.001). CA125 > 35 kU/L had a sensitivity of 0.82, specificity 0.53, positive-predictive-value 0.92, and negative-predictive-value 0.31 for LNM, with similar values for stage>I. CA125 > 35 kU/L was associated with worse overall (OS), disease-specific (DSS), and progression-free survival (PFS) in all EC, p53abn (OS, DSS, PFS), NSMP (OS, DSS), and MMRd (OS, DSS) subtypes. CA125 > 35 kU/L demonstrated a relative risk (RR) of 2.50 with presence of stage III/IV disease (p < 0.001) and RR 18.4 for the presence of synchronous endometrial and ovarian carcinomas (SEOC)/co-existing adnexal malignancies (CAM) (p < 0.001). An exploratory cut point, optimized for correlation with DSS (CA125 > 24 kU/L) show similar association with clinical parameters and survival outcome.

CONCLUSIONS

CA125 levels are associated with molecular subtype, stage>I disease, and SEOC/CAM. CA125 remains a useful clinical tool in the triage of EC in the era of molecular classification.

Universal screening for Lynch syndrome in endometrial cancer diagnoses in Auckland, New Zealand: The initial experience

BACKGROUND

Universal mismatch repair immunohistochemistry (MMR IHC) tumour testing in endometrial cancer (EC) for Lynch syndrome (LS) was introduced in Auckland, New Zealand, in January 2017. Identifying patients with LS allows them and their families to access risk reduction strategies. Universal MMR IHC testing aids in the molecular classification of EC and has prognostic and therapeutic implications.

AIM

We aimed to determine the incidence of LS in women with EC in Auckland, New Zealand, following the introduction of MMR testing and the impact of universal screening on local genetic services.

MATERIALS AND METHODS

This is a retrospective clinicopathological evaluation of women with a new EC diagnosis referred to the Auckland Gynaecological Oncology Unit from 1/1/17 to 31/12/18. Patient data were extracted from the Gynaecological Oncology Unit database and electronic records, and analysed using descriptive statistics.

RESULTS

During the study period, 409 patients were diagnosed with EC, with an over-representation of Pacific Islanders (32.5%). Of these, 82.6% underwent MMR IHC testing, 20% were MMR-deficient (MMRd), and 71% had somatic hypermethylation. The Pacific Islander population had a 64% (odds ratio 0.36, P = 0.005) reduction in the odds of having MMRd tumours compared with Europeans. Of the patients who underwent MMR IHC testing, 5.5% were referred to a genetic clinic for germline testing. LS was confirmed in eight patients (2.3%).

CONCLUSION

LS was diagnosed in 2.3% of patients. There was an over-representation of Pacific Islanders in the EC group but not among those diagnosed with LS.

Prognostic and therapeutic implication of molecular classification including L1CAM expression in high-risk endometrial cancer

INTRODUCTION

The role of molecular classification and L1CAM in high-risk endometrial cancer is uncertain. We aimed to determine the association of molecular profiling and L1CAM with patterns of relapse and survival.

MATERIAL AND METHODS

This retrospective cohort study included patients referred to Department for Gynecologic Oncology, Oslo University Hospital between January 1, 2006 and December 31, 2017. L1CAM expression and molecular profiling according to ProMisE was performed. Main outcome was time to recurrence (TTR) and cancer specific survival (CSS).

RESULTS

Of 489 patients, 486 could be molecular classified. Thirty-seven (8 %) had POLE mutated tumors, 148 (30 %) had MMRd tumors, 189 (39 %) had p53 abnormal tumors, and 112 (23 %) had NSMP tumors. High L1CAM expression was observed in 256 (53 %), low in 227 (46 %) tumors (6 (1 %) missing). ProMisE was significant for TTR but not for CSS in multivariable analysis. L1CAM was significant in multivariable analysis for both TTR and CSS. In a multivariable model with ProMisE and L1CAM expression in the same multivariable model, ProMisE lost significance while L1CAM remained significant. Patients with POLE mutated tumors entailed an excellent prognosis while patients with p53 abnormal or L1CAM overexpressing tumors entailed a poor prognosis with a high frequency of distant recurrences. Patients with MMRd tumors, NSMP and p53 abnormal tumors with low L1CAM had an intermediate prognosis.

CONCLUSIONS

L1CAM is an additional adverse factor in the p53 abnormal and NSMP groups. These groups need special attention in studies intensifying adjuvant treatment.

Biomarker Expression and Clinical Outcomes in International Study of Chemoradiation and Magnetic Resonance Imaging-Based Image-Guided Brachytherapy for Locally Advanced Cervical Cancer: BIOEMBRACE

PURPOSE

BIOEMBRACE was designed to study the impact of biomarkers in addition to clinicopathological factors on disease outcomes in patients treated with chemoradiation and magnetic resonance imaging (MRI)-guided brachytherapy (BT) for locally advanced cervical cancer in the EMBRACE study.

METHODS AND MATERIALS

Between 2018 and 2021, 8 EMBRACE-I sites contributed tumor tissue for the immunohistochemistry of p16, PD-L1, and L1CAM. These biomarkers and clinicopathological factors (International Federation of Gynecology and Obstetrics 2009 stage, nodal status, histology, and necrosis on MRI) were analyzed to predict poor response at BT (high-risk clinical target volume [HR-CTV] ≥ 40 cc) at BT) and 5-year local control, pelvic control, and disease-free survival. Interaction between p16, PD-L1, radiation therapy dose (HR-CTV D90), and disease outcomes was investigated. Univariable and multivariable analyses were performed.

RESULTS

Two hundred sixty-four patients were included. The median HR-CTV D90 was 89 Gy (86-95). P-16 positive status, PD-L1 > 1%, and L1CAM ≥ 10% was noted in 86.6%, 20.1%, and 17.8% of patients, respectively. P16 negative status (odds ratio, 2.0; 95% CI, 1.0-5.7; P = .04) and necrosis on MRI (odds ratio, 2.1; 95% CI, 1.1-4.3; P < .02) independently predicted for HR-CTV ≥ 40 cc, as did the International Federation of Gynecology and Obstetrics stage and tumor width >5 cm. PD-L1 > 1% was associated with reduced local (82% vs 94%; P = .02) and pelvic control (79% vs 89%; P = .02). HR-CTV D90 < 85 Gy was associated with inferior 5-year local control in p16-positive patients, especially if PD-L1 was coexpressed. On multivariable analysis, PD-L1 > 1% was the only independent factor for 5-year local control (hazard ratio, 3.3; P = .04) and L1CAM ≥ 50% for pelvic control (hazard ratio, 5.5; 95% CI, 1.3-23.3; P = .02).

CONCLUSIONS

P16 negative status and tumor necrosis on MRI are independently associated with poor response to chemoradiation, whereas PD-L1 > 1% and L1CAM ≥ 50% have an independent impact on local and pelvic control, suggesting an impact of biomarker expression on outcomes. Further validation is needed.

Implementation of the ProMisE classifier and validation of its prognostic impact in Brazilian endometrial carcinomas

Purpose

Molecular classification of endometrial cancer (EC) has emerged as a key approach to individualize therapy and define prognostic outcomes. This study aimed to implement the traditional ProMisE classification in a Brazilian population, compared with a molecular setting of ProMisE biomarkers, and evaluate its impact on patients' prognosis.

Patient and methods

A prospective cohort of 114 patients with primary EC treated at Barretos Cancer Hospital (BCH) between October 2020 and December 2022 was conducted. Pathology diagnosis, staging, treatment, and follow-up data were collected. The traditional ProMisE methodology was carried out by POLE hotspot sequencing and immunohistochemistry (IHC) for p53 and mismatch repair (MMR) proteins. We further evaluate the MMR and TP53 status by molecular approach, namely microsatellite instability (MSI) by PCR-based and TP53 mutation analysis by next-generation sequencing (NGS). The results of the 4 molecular groups in both methodologies were compared regarding agreement accuracy and survival outcomes.

Results

Among the 114 cases, the traditional ProMisE groups were: POLEmut 15.8%, MMRd 28.1%, p53abn 27.2%, and no specific molecular profile (NSMP) 28.9%. Considering the molecular classification approach, we observed a POLEmut group of 15.8%, MSI group of 23.7%, TP53 mutation of 27.2%, and NSMP of 33.3%. The concordance rate of both approaches was 86.8% (99/114 cases) with an overall accuracy of 0.87. Importantly, both traditional and molecular ProMisE approaches were associated with significant distinct overall survival (OS) and progression-free survival (PFS) outcomes, with POLEmut patients exhibiting a better prognosis (93.8% OS, at 24 months), whereas the p53abn having a worse survival time (68.9% of OS, at 24 months).

Conclusion

We reported for the first time the Brazilian profile of the ProMisE classification of endometrial cancer and demonstrated the prognostic impact of the traditional and molecular ProMisE classification on patient outcomes.

Lymph node metastases in endometrial carcinoma: A modern assessment in the era of sentinel lymph node mapping and molecular subtyping

OBJECTIVE

To examine the risk of sentinel lymph node (SLN) metastases in apparent uterine-confined endometrial cancer (EC) using molecular classification with clinicopathologic features and assess oncologic outcomes by molecular subtypes with micro- or macro-metastases in SLN.

METHODS

Patients undergoing surgical staging for presumed uterine-confined EC of any histology, with successful bilateral SLN mapping were included. Primary tumors were assigned molecular subtypes using a published algorithm. SLN pathology was categorized as negative, isolated tumor cells (ITCs), or micro- or macro-metastases.

RESULTS

Overall, 756 patients were included; 80 (10 %) had micro- or macro-metastases and 51 (7 %) had ITCs. On multivariate multinomial logistic regression, risk of micro- or macro-metastases versus negative SLN was higher for ECs with copy number-high (CN-H)/TP53abn (OR 3.1; 95 % CI 1.3-7), lymphovascular space invasion ([LVSI]; OR 8.0; 95 % CI 4-16), and deep myoinvasion (≥50 %; OR 3.33; 95 % CI 1.9-6.04). Three-year PFS rates by subtype for 68 patients with macro-metastases were 38 % (95 % CI 10-67 %) CN-low/no specific molecular subtype (CN-L/NSMP), 66 % (95 % CI 44-82 %) microsatellite instability-high (MSI-H), and 23 % (95 % CI 10-40 %) CN-H/TP53abn (p = 0.006). Three-year OS rates were 55 % (95 % CI 20-80 %) CN-L/NSMP, 83 % (95 % CI 61-93 %) MSI-H, and 55 % (95 % CI 34-71 %) CN-H/TP53abn (p = 0.048).

CONCLUSIONS

Integrating molecular subtype with uterine risk factors (LVSI and myoinvasion) further stratifies risk of occult SLN metastases in patients undergoing surgical staging for early-stage EC. No molecular subgroup had exceedingly low SLN metastases detected, supporting continued universal SLN assessment. Patients with macro-metastases and CN-L/NSMP or CN-H/TP53abn EC had worse outcomes than those with MSI-H EC.

Less is more? Comparison between genomic profiling and immunohistochemistry-based models in endometrial cancer molecular classification: A multicenter, retrospective, propensity-matched survival analysis

BACKGROUND

Genomic profiling-based model (GP-M) is the gold-standard for endometrial cancer (EC) molecular classification, but several issues related to the availability of genomic sequencing in low-income settings remain and health disparities in the management are increasing. This study aims to investigate the non-inferiority of the immunohistochemistry-alone model in classifying ECs compared to the standard genomic profiling-based model in terms of oncologic outcomes.

METHODS

All preoperative uterine-confined ECs undergoing surgical staging were retrospectively included. Patients classified by IHC-M were stratified into: MMR-proficient (MMRp), p53 wild type (p53wt) and estrogen receptor (ER) positive, 2) MMRp, p53wt and ER-negative, 3) MMRd, and 4) p53abn. A case-control comparison was performed between the IHC-M and GP-M cohorts. Then, a propensity-matched analysis was performed: ECs classified by IHC-M were matched in a 3:1 ratio with patients classified by GP-M.

RESULTS

1587 patients with EC were included. The Kaplan-Meier survival curves for disease-free survival and overall survival demonstrated that the two models performed similarly in risk-stratifying the study population (p < 0.0001). Moreover, the AUC-ROC showed overlapping results: 0.77 (0.66-0.87) for IHC-M and 0.72 (0.63-0.81) for GP-M, indicating that both models were able to successfully identify patients at high-risk and low-risk of disease recurrence/progression.

CONCLUSION

The IHC-M showed overlapping classification performance compared to the GP-M in terms of oncologic outcomes. This study may lay the basis to further investigate the real-life clinical impact of POLE sequencing in molecular classification and the potential stand-alone prognostic role of ER status for further allocation of EC patients into risk classes.

Now or Later? The Role of Neoadjuvant Treatment in Advanced Endometrial Cancer: A Systematic Review

Background: Endometrial cancer (EC) is, nowadays, the most frequent gynecological malignancy worldwide. The main treatment approach for EC is surgery, especially for early-stage tumors. For advanced EC, chemotherapy (CT) with carboplatin and paclitaxel is the standard treatment, especially for women with metastatic or recurrent disease. The present systematic review aimed to establish whether neoadjuvant treatment regimens with CT and/or radiotherapy (RT) lead to better survival outcomes compared to upfront surgery in advanced EC. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, through the string "(("Endometrial Neoplasms"[Mesh]) AND "Hysterectomy"[Mesh]) AND "Radiotherapy"[Mesh] AND Chemotherapy", the selection of articles was made. A quality assessment was conducted using the Newcastle-Ottawa Scale (NOS). The studies included patients with EC with survival and recurrence outcomes-patients treated with upfront surgery or neoadjuvant CT ± External Beam Radiation Therapy (EBRT) or CT ± Brachytherapy (BT). Results: According to the selected evidence in the scientific literature, the 5-year DFS was 21.3% for upfront surgery and ranged from 42 to 73% for neoadjuvant chemotherapy. Also, the 5-year OS was 6.2 to 49.7% with upfront surgery and 15.5 to 100% for neoadjuvant schemes. None of the studies dedicated to surgery reported the 5-year Recurrence Rate (RR), while in the neoadjuvant treatments, it ranged from 27 to 64.7%. Conclusions: The literature's paucity of data makes it difficult to compare neoadjuvant therapy regimens with upfront surgery in advanced endometrial carcinoma. Nevertheless, the current data show more encouraging results for the neoadjuvant treatment group.

The Role of Immunotherapy in MMR-Deficient Endometrial Carcinoma: State of the Art and Future Perspectives

This study provides a comprehensive overview of the role of immunotherapy in the treatment of mismatch repair-deficient (MMRd) endometrial carcinomas. Immunotherapy has emerged as a transformative approach in the treatment of MMRd due to the high mutation rate and subsequent PD-1/PD-L1 overexpression seen in these tumors. This review analyzes the current landscape of existing randomized clinical trials, highlighting the efficacy of immune checkpoint inhibitors (ICIs) like pembrolizumab, avelumab, and dostarlimab. Additionally, the focus extends to the potential of combined therapeutic strategies, such as the integration of ICIs with targeted agents, while also exploring the application of immunotherapy in non-traditional settings beyond advanced or recurrent disease. This includes emerging roles in the adjuvant and neoadjuvant contexts to prevent recurrence and target early-stage disease. These findings underscore the importance of tailoring treatments based on the molecular characteristics of each tumor and paving the way for future advancements in the field of gynecologic oncology. Despite promising results, this article acknowledges the necessity of further research to refine patient selection criteria and explore combination strategies that can overcome resistance mechanisms.

Endometrial Cancer: Analysing Patterns of Recurrence and Real-Life Outcome Data Using the 2020 ESGO-ESTRO-ESP Risk Stratification System

AIMS

To evaluate patterns of recurrence and explore the prognostic differences between the 2018 FIGO staging system and the 2020 ESGO-ESTRO-ESP risk stratification system of endometrial cancer with an emphasis on early-stage disease.

BACKGROUND

The incidence of endometrial cancer has risen by around 60% since the 90's. It is projected that by 2035 endometrial cancer will be the sixth most common cause of cancer-related death amongst females.

METHODS

This was a retrospective cohort study which included patients treated between 2010 and 2017. Primary endpoints were overall survival (OS) and recurrence-free survival (RFS). Kaplan-Meyer survival analysis was used to assess OS and RFS across different risk groups. Cox proportional hazards regression was used to evaluate prognostic risk factors implicated in recurrence. Different recurrence patterns across the subgroups were analysed with Pearson's chi-square test.

RESULTS

The study included 692 patients with a recurrence rate of 14.9%. The median time to recurrence was 17.1 months (IQR:8.8-28.4). The mean OS varied between 97.2 months in the low-risk group to 63.1 months in the high-risk group (p < 0.001). Mean RFS was 96.1 in the low-risk group and 58.9 in the high-risk group (p < 0.001). RFS was predicted by the following factors; high risk group (OR=3.87; p = 0.041), LVSI (OR=2.54, p = 0.005), carcinosarcoma (OR=2.20, p = 0.021) and serous subtype (OR=1.91, p = 0.01). Logistic regression was used to evaluate risk factors for loco-regional and distant recurrence. Patients in the low-risk group were less likely to have distant recurrence (OR=0.08, p = 0.004). Similarly, negative LVSI and Grade 1 cancers were associated with decreased risk of distant recurrence (OR=0.34, p = 0.006 and OR=0.33, p = 0.007, respectively). There were no significant risk factors for loco-regional recurrence.

CONCLUSIONS

The 2020 ESGO-ESTRO-ESP risk stratification provides accurate estimates of recurrence risk and survival. Those treated in line with current guidance have significantly better outcomes.

Excellent concordance of the molecular classification between preoperative biopsy and final hysterectomy in endometrial carcinoma

OBJECTIVE

The 2023 International Federation of Gynecology and Obstetrics classification with molecular classification shows superior discriminatory ability compared to staging systems lacking molecular data. However, the accuracy of endometrial biopsy data in molecular classification remains uncertain. This study aimed to assess the concordance of molecular classifications between preoperative biopsy and hysterectomy to predict prognosis before surgical staging.

METHODS

Endometrial biopsies and corresponding hysterectomy specimens were collected at the National Cancer Center Hospital between 2012 and 2023. Immunohistochemistry for p53 and mismatch repair (MMR) proteins and next-generation sequencing of all exons of polymerase epsilon (POLE) were performed. Given the limited number of POLE mut cases in prior studies, we prepared a POLE mut-enriched cohort. Cohen's kappa estimates were used to determine concordance for molecular and clinicopathological subgroup assignments.

RESULTS

Among 70 patients classified into four molecular subtype groups, 33 exhibited POLE mutations, 15 showed loss of MMR protein expression, 13 had p53-abnormality, and 9 had no specific molecular profile. Concordance between biopsy and hysterectomy specimens was 100% (κ = 1.000). In contrast, histological types and grades between biopsy and surgical specimens showed moderate and substantial agreement (κ = 0.420 and κ = 0.780, respectively).

CONCLUSIONS

Molecular subtypes were completely consistent with those derived from surgical specimens, demonstrating high concordance between preoperative and postoperative molecular classifications. This suggests that endometrial biopsies could reliably predict prognosis. Future studies should investigate how biopsy-based molecular profiling influences treatment planning and patient outcomes.

Impact of molecular classification on recurrence risk in endometrial cancer patients with lymph node metastasis: multicenter retrospective study

OBJECTIVE

To assess the distribution of molecular classes and their impact on the risk of recurrence in endometrial cancer patients with lymph node metastasis at the time of primary surgery.

METHODS

Endometrial cancer patients with lymph node micrometastasis or macrometastasis (International Federation of Gynecology and Obstetrics (FIGO) 2009 stage IIIC) after surgical staging at five referral centers worldwide from October 2013 to September 2022 who underwent molecular classification were identified. Endometrial cancers were categorized into four molecular classes: POLE mutated, mismatch repair deficient, p53 abnormal, and no specific molecular profile. Survival analyses using Kaplan-Meier and Cox models (univariate and multivariate) were conducted to evaluate the relationship between molecular class and 5-year recurrence free survival.

RESULTS

131 patients were included: 55 (42.0%) no specific molecular profile, 46 (35.1%) mismatch repair deficient, 1 (0.8%) POLE mutated, and 29 (22.1%) p53 abnormal. During a 5 year follow-up period, 50 (38.2%) patients experienced a recurrence with a median time of 1.2 years (interquartile range (IQR) 0.5-1.8). Median follow-up for the remaining 81 patients was 3.1 years (IQR 1.3-4.5). Survival analysis revealed a significant difference in recurrence-free survival between no specific molecular profile, mismatch repair deficient, and p53 abnormal classes (log rank p<0.01). In a model adjusted for type of lymph node metastasis and tumor grade, the molecular class did not retain significance (p=0.13), while in a model adjusted for type of lymph node metastasis and adjuvant therapy, the molecular class retained significance (p<0.01).

CONCLUSION

Among patients with stage IIIC endometrial cancer, POLE mutated tumors exhibited an extremely low prevalence, with no specific molecular profile emerging as the largest molecular subgroup. Despite the significant difference in recurrence-free survival between molecular classes, conventional histopathologic parameters retained crucial prognostic value. Our findings highlight the necessity of integrating molecular classes with pathological characteristics, rather than considering them in isolation as crucial prognostic factors in stage IIIC endometrial cancer.

The impact of estrogen receptor and L1 cell adhesion molecule expression on endometrial cancer outcome correlates with clinicopathological risk group and molecular subgroup

OBJECTIVE

To assess the risk stratification of clinicopathologically and molecularly classified endometrial cancer based on estrogen receptor (ER) and L1 cell adhesion molecule (L1CAM) expression.

METHODS

This was a retrospective study of patients who underwent primary treatment at a single tertiary center. Carcinomas were classified into 5 clinicopathological risk groups, as per European guidelines. Immunohistochemistry and polymerase-ϵ sequencing were conducted for molecular classification and determination of ER and L1CAM expression.

RESULTS

Data from 1044 patients were analyzed. The median follow-up was 67.5 months. In univariable analyses, ER expression correlated with improved disease-specific survival (DSS) in the "no specific molecular profile" (NSMP) (P < 0.001) and mismatch repair deficient (MMRd) (P = 0.002) subgroups. Negative L1CAM expression was associated with enhanced DSS in the NSMP subgroup alone (P < 0.001). ER (hazard ratio [HR] 0.18), but not L1CAM, exhibited prognostic significance within NSMP when controlling for parameters available at the time of diagnosis (tumor histotype, grade, age). ER and L1CAM were not independently associated with DSS within NSMP when controlling for parameters available after surgery (clinicopathological risk groups, age, adjuvant therapy). However, in high-risk-advanced-metastatic cases, both ER (HR 0.26) and L1CAM (HR 3.9) independently correlated with DSS. Similarly, within MMRd, ER was associated with improved DSS in high-risk-advanced-metastatic carcinomas (HR 0.42).

CONCLUSION

The prognostic significance of ER and L1CAM varies across clinicopathological risk groups and molecular subgroups of endometrial cancer. Notably, risk assessment for high-risk-advanced-metastatic NSMP and MMRd subtype carcinomas can be refined by ER status.

Molecular classification improves preoperative risk assessment of endometrial cancer

OBJECTIVE

We aimed to evaluate the performance of endometrial cancer (EC) molecular classification in predicting extrauterine disease after primary surgery alone and in combination with other clinical data available in preoperative setting.

METHODS

Retrospective single-center observational study including patients with endometrial adenocarcinoma treated with primary surgery between December 1994 and May 2022. Molecular profiling was performed using immunohistochemistry of p53, MLH1, PMS2, MSH2 and MSH6; and KASP genotyping of the 6 most common mutations of POLE gene. Clinical, pathological and imaging information was reviewed. Logistic regression, regression trees and random forest classification techniques (CART) were performed.

RESULTS

We enrolled 658 patients, 47 with POLEmut (7.1%), 234 with MMRd (35.6%), 95 with p53abn (14.4%) and 282 with NSMP (42.8%) tumors. Advanced stage after primary surgery (III-IV FIGO 2009) was diagnosed in 11.7% of patients, p53abn tumors showed increased extrauterine spread (34.1%) and nodal involvement (30.1%) (p < .001). In multivariate analysis, only p53abn subgroup (aOR = 16.0, CI95% = 1.5-165.1) and radiological suspicion of extrauterine disease (aOR = 24.2, CI95% = 12.2-48.2) independently predicted the finding of extrauterine disease after primary surgery. In patients with preoperative uterine-confined disease, deep myometrial and cervical involvement in radiological assessment and p53abn molecular subtype were the best variables to identify patients at-risk of occult extrauterine disease after the staging surgery.

CONCLUSION

EC molecular classification is more accurate than histotype or grade in preoperative biopsy to predict advanced disease, and together with imaging tests are the most reliable preoperative information. This work provides an initial framework for using molecular information preoperatively to tailor surgical treatment.

The spectrum of oestrogen receptor expression in endometrial carcinomas of no specific molecular profile

AIMS

Decreased oestrogen receptor (ER) expression is a marker of poor prognosis in endometrial carcinomas (EC) of no specific molecular profile (NSMP), but the optimal cut-off to separate high-risk 'low ER' versus low-risk 'high ER' expression has not been defined. Here we characterised the distribution of ER staining in a cohort of ECs.

METHODS AND RESULTS

Biopsy specimens from 120 cases of NSMP EC were stained for ER and assigned an Allred score. In 66 additional cases ER staining of matched biopsy and hysterectomy were compared. Twelve of 120 tumours had an Allred score of 0-3, including three endometrioid carcinomas (EEA) (one G1, two G3), four clear cell carcinomas (CCC), two mesonephric-like adenocarcinoma (MLA) and one each of: gastric-type adenocarcinoma, carcinosarcoma and endometrial carcinoma NOS. Three had Allred scores of 4-5: two MLA and one high-grade carcinoma with yolk sac differentiation. Five had Allred scores of 6: four EEA (one G1, one G2, two G3) and one mixed clear cell and endometrioid carcinoma. The remaining 100 tumours with Allred scores ≥ 7 were all EEA (66 G1, 28 G2, five G3 and one grade unknown). Comparing the biopsy versus hysterectomy ER staining (n = 66), the results were within a single Allred score point, except two cases with strong diffuse expression in the biopsy (Allred 8) and moderate expression in the hysterectomy (Allred 5).

CONCLUSIONS

Most NSMP ECs (> 80%) show high ER expression (Allred score ≥ 7). All non-endometrioid carcinomas and a few endometrioid carcinomas had lower ER expression (Allred score ≤ 6) or were completely negative.

Clinical characteristics and genomic profiling of outpatients with endometrial cancer at a Chinese tertiary cancer center

OBJECTIVE

Endometrial cancer is stepping into the era of precision therapy. Genomic test is recommended for newly diagnostic patients. However, outpatients displayed more complex characteristics. Here, we elucidated the clinical characteristics and genomic profiling of outpatients with endometrial cancer at our institution.

METHODS

Between 2018 and 2023, 68 endometrial cancer received genomic tests at outpatient department of Fudan University Shanghai Cancer Center. Data, including age, pathological histology, FIGO stage and treatment strategy were collected. Germline mutations, molecular subtypes and other somatic mutations were also summarized.

RESULTS

Overall, 72.1% (49/68) of patients receive genomic tests at primary diagnosis, while 27.9% (19/68) of patients received tests at recurrence. Nine patients had deleterious germline mutations, including BRCA1(2), MLH1(1), MSH2(2, including one with co-mutation of RAD50), MSH6(2), FANCA(1), MUTYH(1). Molecular subtypes were recognized among 62 patients, as POLE super-mutation(4, 6.5%), MSI-H(7, 11.3%), CN-Low(36, 58.1%) and CN-High(15, 24.2%). Ten patients received anti-PD1 monotherapy or in combination with chemotherapy or anti-angiogenic therapy, with the duration of disease control of 1 to 35 months. The ORR rate was 30%, and six patients had stable disease. The median (range) follow-up time was 18(2-160) months. 23(33.8%) relapses were recorded, and CN-High subtype displayed worst PFS compared with other subtypes (P < 0.01). 6 deaths were reported including 2(5.6%) of CN-Low and 4(26.7%) of CN-High.

CONCLUSION

Outpatients department gathered a considerable proportion of recurrent patients with complex genomic features. Patients with worse prognosis could be well studied, and anti-PD1 therapy was a promising salvage therapy in the real world.

Neoadjuvant immune checkpoint blockade in women with mismatch repair deficient endometrial cancer: a phase I study

Neoadjuvant immune checkpoint blockade (ICB) has shown unprecedented activity in mismatch repair deficient (MMRd) colorectal cancers, but its effectiveness in MMRd endometrial cancer (EC) remains unknown. In this investigator-driven, phase I, feasibility study (NCT04262089), 10 women with MMRd EC of any grade, planned for primary surgery, received two cycles of neoadjuvant pembrolizumab (200 mg IV) every three weeks. A pathologic response (primary objective) was observed in 5/10 patients, with 2 patients showing a major pathologic response. No patient achieved a complete pathologic response. A partial radiologic response (secondary objective) was observed in 3/10 patients, 5/10 patients had stable disease and 2/10 patients were non-evaluable on magnetic resonance imaging. All patients completed treatment without severe toxicity (exploratory objective). At median duration of follow-up of 22.5 months, two non-responders experienced disease recurrence. In-depth analysis of the loco-regional and systemic immune response (predefined exploratory objective) showed that monoclonal T cell expansion significantly correlated with treatment response. Tumour-draining lymph nodes displayed clonal overlap with intra-tumoural T cell expansion. All pre-specified endpoints, efficacy in terms of pathologic response as primary endpoint, radiologic response as secondary outcome and safety and tolerability as exploratory endpoint, were reached. Neoadjuvant ICB with pembrolizumab proved safe and induced pathologic, radiologic, and immunologic responses in MMRd EC, warranting further exploration of extended neoadjuvant treatment.

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

OBJECTIVE

We 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.

METHODS

Patients diagnosed with stage IA, IB, or II endometrioid endometrial cancer and primary surgical management were identified from January 1, 2007 to December 31, 2019. All SLNs underwent ultrastaging according to the institutional protocol. Patients with cytokeratin positive cells, micrometastases, and macrometastases were excluded. Clinical, pathology, and molecular subtype data were reviewed.

RESULTS

Overall, 1214 patients with early stage endometrioid endometrial cancer met the inclusion criteria, of whom 1089 (90%) had node negative disease and 125 (10%) had isolated tumor cells. Compared with node negative disease, the presence of isolated tumor cells had a greater association with deep myometrial invasion, lymphovascular space invasion, receipt of adjuvant therapy, and adjuvant chemotherapy with or without radiation (p<0.01). There was no significant difference in survival rates between patients with isolated tumor cells and node negative disease (3 year progression free survival rate 94% vs 91%, respectively, p=0.21; 3 year overall survival rate 98% vs 96%, respectively, p=0.45). Progression free survival did not significantly differ among patients with isolated tumor cells who received no adjuvant therapy or chemotherapy with or without radiation (p=0.31). There was no difference in the distribution of molecular subtypes between patients with isolated tumor cells (n=28) and node negative disease (n=194; p=0.26). Three year overall survival rates differed significantly when stratifying the entire cohort by molecular subtype (p=0.04).

CONCLUSIONS

Patients with isolated tumor cells demonstrated less favorable uterine pathologic features and received more adjuvant treatment with similar survival compared with patients with nodenegative disease. Among the available data, molecular classification did not have a significant association with the presence of isolated tumor cells, although copy number-high status was a poor prognostic indicator in early stage endometrioid endometrial cancer.

Clinical research in endometrial cancer: consensus recommendations from the Gynecologic Cancer InterGroup

The Gynecologic Cancer InterGroup (GCIG) Endometrial Cancer Consensus Conference on Clinical Research (ECCC) was held in Incheon, South Korea, Nov 2-3, 2023. The aims were to develop consensus statements for future trials in endometrial cancer to achieve harmonisation on design elements, select important questions, and identify unmet needs. All 33 GCIG member groups participated in the development, refinement, and finalisation of 18 statements within four topic groups, addressing adjuvant treatment in high-risk disease; treatment for metastatic and recurrent disease; trial designs for rare endometrial cancer subgroups and special circumstances; and specific methodology and adaptation for trials in low-resource settings. In addition, eight areas of unmet need were identified. This was the first GCIG Consensus Conference to include patient advocates and an expert on inclusion, diversity, equity, and access to take part in all aspects of the process and output. Four early-career investigators were also selected for participation, ensuring that they represented different GCIG member groups and regions. Unanimous consensus was obtained for 16 of the 18 statements, with 97% concordance for the remaining two. Using the described methodology from previous Ovarian Cancer Consensus Conferences, this conference did not require even one minority statement. The high acceptance rate following active involvement in the preparation, discussion, and refinement of the statements by all representatives confirmed the consensus progress within a global academic setting, and the expectation that the ECCC will lead to greater harmonisation, actualisation, inclusion, and resolution of unmet needs in clinical research for individuals living with and beyond endometrial cancer worldwide.

The game-changing impact of POLE mutations in oncology-a review from a gynecologic oncology perspective

Somatic mutations within the exonuclease proofreading domain (EDM) of the DNA polymerase Pol ϵ (POLE) gene are increasingly being discovered in ovarian, colorectal, urological, and, especially, endometrial carcinoma (EC), where these are found in up to 10% of the cases. In EC, there are five confirmed pathogenic somatic POLE-EDM mutations that are located at codons 286, 411, 297, 456, and 459, and these are called "hotspot" mutations. POLE mutant tumors are ultramutated entities with a frequency of base substitution mutations that is among the highest in human tumors. Interestingly, these mutations are associated with excellent clinical outcome in EC. An additional six "non-hotspot" POLE-EDM EC mutations are also considered pathogenic, and they also confer a favorable prognosis. Currently, de-escalation of adjuvant treatment is recommended for patients with EC with stage I-II tumors involving any of these 11 EDM mutations, even in patients with other clinicopathological risk factors. The high tumor mutational burden and the consequent increased infiltration of immune cells due to the overexpression of different neoantigens are probably responsible for the improved prognosis. Ongoing studies are examining POLE hotspot mutations among many non-gynecologic tumors, although the impact of such mutations on clinical outcomes is still a topic of debate. Therapeutic modalities for these hypermutated tumors are also an important consideration, including the need for or de-escalation of adjuvant treatments and the response to immune therapy. This review addresses the critical role of POLE mutations in gynecologic oncology and oncology in general, focusing on definitions, variants, underlying pathogenic mechanisms, upcoming developments in the field, and the clinic behavior associated with such mutations.

Management of endometrial cancer in Latin America: raising the standard of care and optimizing outcomes

Molecular characterization of endometrial cancer is allowing for increased understanding of the natural history of tumors and paving a more solid pathway for novel therapies. It is becoming increasingly apparent that molecular classification is superior to histological classification in terms of reproducibility and prognostic discrimination. In particular, the Proactive Molecular Risk Classifier for Endometrial Cancer allows classification of endometrial cancer into groups very close to those determined by the Cancer Genome Atlas Research Network-that is, DNA polymerase epsilon-mutated, mismatch repair-deficient, p53 abnormal, and non-specific molecular profile tumors. The transition from the chemotherapy era to the age of targeted agents and immunotherapy, which started later in endometrial cancer than in many other tumor types, requires widespread availability of specialized pathology and access to novel agents. Likewise, surgical expertise and state-of-the-art radiotherapy modalities are required to ensure adequate care. Nevertheless, Latin American countries still face considerable barriers to implementation of international guidelines. As we witness the dawn of precision medicine as applied to endometrial cancer, we must make continued efforts towards improving the quality of care in this region. The current article discusses some of these challenges and possible solutions.

Treatment options in the advanced and recurrent setting for endometrial cancer: an update

INTRODUCTION

Uterine cancer is the most common gynecologic malignancy in women and is projected to surpass ovarian cancer as the deadliest gynecologic malignancy in the United States in 2024. Additionally, rates of advanced and high-risk uterine cancer have been on the rise in the United States, demonstrating a need for innovation in treatment options. There have been multiple recent trials investigating the incorporation of novel agents in the treatment of advanced and recurrent endometrial cancer.

AREAS COVERED

This article will discuss the current landscape of the treatment of advanced and recurrent endometrial cancer, focusing on recent phase III trials published or presented on with the incorporation of immunotherapy and other novel therapeutics while also reviewing promising phase I and II trials in the field. Clinical trials were identified via clinicaltrials.gov and a PubMed literature search was performed (initially February 2024, updated May 2024).

EXPERT OPINION

The treatment field is promising for patients as many of these trials appear to offer progression free and overall survival benefits in a disease with a historically poor prognosis. Molecular profiling of endometrial cancer will be the backbone of treatment paradigms in the future.

Prognostic Significance of Disseminated Tumor Cells in Bone Marrow for Endometrial Carcinoma Patients

Background: Until now, limited clinical significance had been reported for disseminated tumor cells (DTCs) in gynecologic malignancies. DTCs were previously reported not to be associated with established risk factors, L1CAM immunoreactivity, and outcome in endometrial carcinoma (EC). This study's primary objective was to investigate potential correlations of DTCs in the bone marrow (BM) of EC patients with disease-related survival, and a secondary objective was to evaluate associations between molecular classification of EC and DTCs. Methods: Patients treated for primary EC at Tuebingen University women's hospital between 2003 and 2016 were identified. A total of 402 patients with a complete set of BM cytology, molecular, and clinical data were evaluable. Results: DTC occurrence was distributed equally among all four molecular groups (p = 0.651). DTC positivity was associated with a less favorable disease-free survival (HR: 1.86, 95% CI: 1.03-3.36, p = 0.036) and progression-free survival (HR: 1.86, 95% CI: 1.01-3.44, p = 0.045). Presence of DTCs was associated with a higher frequency of distant disease recurrence (p = 0.017). Conclusions: In line with our previous findings, tumor cell dissemination is not associated with molecular features in our large cohort of primary EC patients. Since DTCs seem to be associated with survival and location of disease recurrence, further studies are needed to decisively define their role in EC survival.

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

AIM

Endometrial 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.

METHODS

WES 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.

RESULTS

Applying 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.

CONCLUSION

Our 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.

Tailoring Endometrial Cancer Treatment Based on Molecular Pathology: Current Status and Possible Impacts on Systemic and Local Treatment

Endometrial cancer (EC) is a heterogeneous disease with a rising incidence worldwide. The understanding of its molecular pathways has evolved substantially since The Cancer Genome Atlas (TCGA) stratified endometrial cancer into four subgroups regarding molecular features: POLE ultra-mutated, microsatellite instability (MSI) hypermutated, copy-number high with TP53 mutations, and copy-number low with microsatellite stability, also known as nonspecific molecular subtype (NSMP). More recently, the International Federation of Gynecology and Obstetrics (FIGO) updated their staging classification to include information about POLE mutation and p53 status, as the prognosis differs according to these characteristics. Other biomarkers are being identified and their prognostic and predictive role in response to therapies are being evaluated. However, the incorporation of molecular aspects into treatment decision-making is challenging. This review explores the available data and future directions on tailoring treatment based on molecular subtypes, alongside the challenges associated with their testing.

Unsolved Issues in the Integrated Histo-Molecular Classification of Endometrial Carcinoma and Therapeutic Implications

Endometrial carcinoma (EC) is the most frequent gynecological cancer, with an increasing incidence and mortality in recent times. The last decade has represented a true revolution with the development of the integrated histo-molecular classification of EC, which allows for the stratification of patients with morphologically indistinguishable disease into groups with different prognoses. Particularly, the POLE-mutated subgroup exhibits outstanding survival. Nevertheless, the indiscriminate application of molecular classification appears premature. Its prognostic significance has been proven mainly in endometrioid EC, the most common histotype, but it has yet to be convincingly confirmed in the other minor histotypes, which indeed account for a relevant proportion of EC mortality. Moreover, its daily use both requires a mindful pathologist who is able to correctly evaluate and unambiguously report immunohistochemical staining used as a surrogated diagnostic tool and is hampered by the unavailability of POLE mutation analysis. Further molecular characterization of ECs is needed to allow for the identification of better-tailored therapies in different settings, as well as the safe avoidance of surgery for fertility preservation. Hopefully, the numerous ongoing clinical trials in the adjuvant and metastatic settings of EC will likely produce evidence to refine the histo-molecular classification and therapeutic guidelines. Our review aims to retrace the origin and evolution of the molecular classification for EC, reveal its strengths and limitations, show clinical relevance, and uncover the desired future developments.

Endometrial carcinoma: 10 years of TCGA (the cancer genome atlas): A critical reappraisal with comments on FIGO 2023 staging

The Cancer Genome Atlas (TCGA) Research Network described 4 molecular subgroups of endometrial carcinomas with different outcome: 1) POLE ultramutated endometrioid carcinomas which have an indolent behavior; 2) microsatellite instability hypermutated endometrioid carcinomas associated with intermediate prognosis; 3) copy-number low endometrioid carcinomas also with intermediate prognosis; and 4) copy-number high predominantly serous (non-endometrioid) but also serous-like endometrioid carcinomas, almost always carrying TP53 mutations, with poor clinical outcome. After 10 years of comprehensive analysis, it appears that the only real contribution of TCGA to the clinical management of these patients would be limited to the infrequent high-grade, early-stage endometrioid carcinomas with POLE exonuclease domain mutations, as these patients could benefit from a de-escalating treatment; knowledge about the other three subgroups has not changed significantly. The copy-number low (or non-specific genetic profile) which is the most frequent subgroup, is a mixture subgroup where investigators are currently trying to establish prognostic markers; for example, unexpected variations in a relatively small percentage of cases (i.e., CTNNB1 mutated or p53 aberrant low-grade and low-stage endometrioid carcinomas associated with unfavorable prognosis). On the other hand, TCGA has underlined that a small number of grade 3 endometrioid carcinomas, all TP53 mutated, overlap with copy-number high serous carcinomas. Recently, TCGA molecular subgroups have been integrated into the 2023 International Federation of Gynecology and Obstetrics (FIGO) staging classification which incorporates other non-anatomic parameters like histotype, tumor grade, and lymphovascular space invasion. The result is a complicated and non-intuitive classification that makes its clinical application difficult and does not facilitate correspondence with the 2009 FIGO staging.

Is p53 immunohistochemistry alone useful for delineating adjuvant endometrial treatment in low-middle-income countries?

OBJECTIVE

Endometrial cancer (EC) treatment changed substantially with the introduction of molecular classification. Low-middle income (LMIC) countries will face barriers to including molecular classification to guide treatment. This study aims to analyse the value of p53 immunohistochemistry to delineate adjuvant treatment in FIGO stages I and II.

METHODS

Patients with EC treated between 2010 and 2016 were retrospectively evaluated. Patients included in this analysis must have reviewed FIGO stage I/II high-grade histologies (endometrioid grade 3, serous, clear cell, carcinosarcoma, mixed and undifferentiated). Samples were subjected to p53 immunohistochemistry. Recurrence-free and overall survival were analysed using the Kaplan-Meier method and log-rank test. Cox proportional hazards regression was performed for multivariable analysis.

RESULTS

From 2010 to 2016, 265 patients met the inclusion criteria. Patients with aberrant p53 (71.4 %) were associated with older age (59.7 % vs 77.8 % with more than 60 years), relapse (12.5 vs 29.6 %) and death (22.2 vs 46.7 %). The pattern of relapse was not different, with most being at extrapelvic sites (55.5 % vs 62.3 % for p53 wild type and aberrant, respectively). The median overall survival was not reached versus 92.2 months for p53 wild type and aberrant, respectively (p = 0.003). In multivariate analysis, chemotherapy decreased death (p = 0.014) in p53 aberrant tumours, a benefit not seen in the wild-type cohort (p = 0.22).

CONCLUSION

This retrospective analysis corroborates the finding of worse outcomes for p53 aberrant tumours in stage I/II EC and the benefit of more aggressive adjuvant treatment (systemic therapy and radiotherapy). Although not ideal as a sole molecular marker, p53 immunohistochemistry could complement the classical anatomopathological features and be part of the decision-making process with patients in LMIC.

Application of novel algorithm on a retrospective series to implement the molecular classification for endometrial cancer

INTRODUCTION

The study aimed to validate the Betella algorithm, focusing on molecular analyses exclusively for endometrial cancer patients, where molecular classification alters risk assessment based on ESGO/ESTRO/ESP 2020 guidelines.

MATERIALS AND METHODS

Conducted between March 2021 and March 2023, the retrospective research involved endometrial cancer patients undergoing surgery and comprehensive molecular analyses. These included p53 and mismatch repair proteins immunohistochemistry, as well as DNA sequencing for POLE exonuclease domain. We applied the Betella algorithm to our population and evaluated the proportion of patients in which the molecular analysis changed the risk class attribution.

RESULTS

Out of 102 patients, 97 % obtained complete molecular analyses. The cohort exhibited varying molecular classifications: 10.1 % as POLE ultra-mutated, 30.3 % as mismatch repair deficient, 11.1 % as p53 abnormal, and 48.5 % as non-specified molecular classification. Multiple classifiers were present in 3 % of cases. Integrating molecular classification into risk group calculation led to risk group migration in 11.1 % of patients: 7 moved to lower risk classes due to POLE mutations, while 4 shifted to higher risk due to p53 alterations. Applying the Betella algorithm, we can spare the POLE sequencing in 65 cases (65.7 %) and p53 immunochemistry in 17 cases (17.2 %).

CONCLUSION

In conclusion, we externally validated the Betella algorithm in our population. The application of this new proposed algorithm enables assignment of the proper risk class and, consequently, the appropriate indication for adjuvant treatment, allowing for the rationalization of the resources that can be allocated otherwise, not only for the benefit of settings with low resources, but of all settings in general.

Molecular profile in endometrial carcinoma: can we predict the lymph node status? A systematic review and meta-analysis

PURPOSE

Molecular classification of endometrial cancer (EC) has become a promising information to tailor preoperatively the surgical treatment. We aimed to evaluate the rate of lymph node metastases (LNM) in patients with EC according to molecular profile.

METHODS

A systematic review and meta-analysis were performed according to PRISMA guidelines by searching in two major electronic databases (PubMed and Scopus), including original articles reporting lymph node metastases according to the molecular classification of EC as categorized in the ESGO-ESMO-ESP guidelines.

RESULTS

Fifteen studies enrolling 3056 patients were included. Pooled prevalence LNM when considering only patients undergoing lymph node assessment was 4% for POLE-mutated (95%CI: 0-12%), 22% for no specific molecular profile (95% CI: 9-39%), 23% for Mismatch repair-deficiency (95%CI: 10-40%) and 31% for p53-abnormal (95%CI: 24-39%).

CONCLUSIONS

The presence of LNM seems to be influenced by molecular classification. P53-abnormal group presents the highest rate of nodal involvement, and POLE-mutated the lowest.

Prediction of recurrence risk in endometrial cancer with multimodal deep learning

Predicting distant recurrence of endometrial cancer (EC) is crucial for personalized adjuvant treatment. The current gold standard of combined pathological and molecular profiling is costly, hampering implementation. Here we developed HECTOR (histopathology-based endometrial cancer tailored outcome risk), a multimodal deep learning prognostic model using hematoxylin and eosin-stained, whole-slide images and tumor stage as input, on 2,072 patients from eight EC cohorts including the PORTEC-1/-2/-3 randomized trials. HECTOR demonstrated C-indices in internal (n = 353) and two external (n = 160 and n = 151) test sets of 0.789, 0.828 and 0.815, respectively, outperforming the current gold standard, and identified patients with markedly different outcomes (10-year distant recurrence-free probabilities of 97.0%, 77.7% and 58.1% for HECTOR low-, intermediate- and high-risk groups, respectively, by Kaplan-Meier analysis). HECTOR also predicted adjuvant chemotherapy benefit better than current methods. Morphological and genomic feature extraction identified correlates of HECTOR risk groups, some with therapeutic potential. HECTOR improves on the current gold standard and may help delivery of personalized treatment in EC.

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.

The evolving role of immune checkpoint inhibitors in cervical and endometrial cancer

The introduction of immune checkpoint inhibitors (ICIs) has revolutionized the treatment landscape for numerous tumor types, including cervical and endometrial cancers. Multiple ICIs against programmed cell death-1 (PD-1), programmed death-ligand 1 (PD-L1), and cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) have demonstrated encouraging outcomes in controlled clinical studies for advanced cervical and endometrial cancers. For advanced cervical cancer, approved ICIs as second-line treatment include cemiplimab, nivolumab, and pembrolizumab as single agents. In the first-line treatment setting, options include pembrolizumab alone or in combination with bevacizumab, as well as atezolizumab combined with a backbone platinum-based chemotherapy plus bevacizumab. Additionally, for locally advanced cervical cancer, pembrolizumab is recommended alongside concurrent chemoradiotherapy. For endometrial cancer, pembrolizumab monotherapy, pembrolizumab in combination with lenvatinib, and dostarlimab are currently approved as second-line treatment options. Moreover, either dostarlimab or pembrolizumab can be added to first-line platinum-based chemotherapy for mismatch repair deficient malignancies. Although the inclusion of these agents in clinical practice has led to improved overall response rates and survival outcomes, many patients still lack benefits, possibly due to multiple intrinsic and adaptive resistance mechanisms to immunotherapy. This review aims to highlight the rationale for utilizing ICIs and their current role, while also delineating the proposed mechanisms of resistance to ICIs in cervical and endometrial cancer.

Prognostic impact and causality of age on oncological outcomes in women with endometrial cancer: a multimethod analysis of the randomised PORTEC-1, PORTEC-2, and PORTEC-3 trials

BACKGROUND

Numerous studies have shown that older women with endometrial cancer have a higher risk of recurrence and cancer-related death. However, it remains unclear whether older age is a causal prognostic factor, or whether other risk factors become increasingly common with age. We aimed to address this question with a unique multimethod study design using state-of-the-art statistical and causal inference techniques on datasets of three large, randomised trials.

METHODS

In this multimethod analysis, data from 1801 women participating in the randomised PORTEC-1, PORTEC-2, and PORTEC-3 trials were used for statistical analyses and causal inference. The cohort included 714 patients with intermediate-risk endometrial cancer, 427 patients with high-intermediate risk endometrial cancer, and 660 patients with high-risk endometrial cancer. Associations of age with clinicopathological and molecular features were analysed using non-parametric tests. Multivariable competing risk analyses were performed to determine the independent prognostic value of age. To analyse age as a causal prognostic variable, a deep learning causal inference model called AutoCI was used.

FINDINGS

Median follow-up as estimated using the reversed Kaplan-Meier method was 12·3 years (95% CI 11·9-12·6) for PORTEC-1, 10·5 years (10·2-10·7) for PORTEC-2, and 6·1 years (5·9-6·3) for PORTEC-3. Both overall recurrence and endometrial cancer-specific death significantly increased with age. Moreover, older women had a higher frequency of deep myometrial invasion, serous tumour histology, and p53-abnormal tumours. Age was an independent risk factor for both overall recurrence (hazard ratio [HR] 1·02 per year, 95% CI 1·01-1·04; p=0·0012) and endometrial cancer-specific death (HR 1·03 per year, 1·01-1·05; p=0·0012) and was identified as a significant causal variable.

INTERPRETATION

This study showed that advanced age was associated with more aggressive tumour features in women with endometrial cancer, and was independently and causally related to worse oncological outcomes. Therefore, our findings suggest that older women with endometrial cancer should not be excluded from diagnostic assessments, molecular testing, and adjuvant therapy based on their age alone.

FUNDING

None.

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.

Old Issues and New Perspectives on Endometrial Cancer Therapy: How Molecular Characteristics Are Changing the Therapeutic Pathway

The Cancer Genome Atlas (TCGA) has radically changed the history of endometrial cancer by outlining a new classification, based on its molecular characteristics. In the field of oncology, we are approaching the new era of molecular biology, particularly regarding endometrial cancer, with the increasing importance of targeted therapy. This paper is a review of phase III randomized controlled trials published in English between January 2019 and December 2023, comparing drugs of interest with standard adjuvant treatment and molecular subtypes in endometrial cancer. The use of immunotherapy alone or in combination with chemotherapy as therapy in patients with recurrent or advanced primary or metastatic endometrial cancer significantly improves the prognosis of these patients. The results show greater efficacy of all proposed treatments for mismatch repair deficiency (dMMR/MSI-H) patients compared to mismatch repair proficiency (pMMR) patients. Progression-free survival (PFS) and overall survival (OS) are better in dMMR patients in all studies analysed. Immunotherapy has the potential to revolutionize the gynaecological cancer treatment landscape, offering a new pathway and new hope for endometrial cancer patients, improving their outcomes in the future. Given the exciting results obtained in dMMR/MSI-H patients, MMR status should be investigated in every patient with advanced endometrial cancer at the time of diagnosis.

Prediction of Mismatch Repair Status in Endometrial Cancer from Histological Slide Images Using Various Deep Learning-Based Algorithms

The application of deep learning algorithms to predict the molecular profiles of various cancers from digital images of hematoxylin and eosin (H&E)-stained slides has been reported in recent years, mainly for gastric and colon cancers. In this study, we investigated the potential use of H&E-stained endometrial cancer slide images to predict the associated mismatch repair (MMR) status. H&E-stained slide images were collected from 127 cases of the primary lesion of endometrial cancer. After digitization using a Nanozoomer virtual slide scanner (Hamamatsu Photonics), we segmented the scanned images into 5397 tiles of 512 × 512 pixels. The MMR proteins (PMS2, MSH6) were immunohistochemically stained, classified into MMR proficient/deficient, and annotated for each case and tile. We trained several neural networks, including convolutional and attention-based networks, using tiles annotated with the MMR status. Among the tested networks, ResNet50 exhibited the highest area under the receiver operating characteristic curve (AUROC) of 0.91 for predicting the MMR status. The constructed prediction algorithm may be applicable to other molecular profiles and useful for pre-screening before implementing other, more costly genetic profiling tests.

2023 FIGO staging system for endometrial cancer: The evolution of the revolution

INTRODUCTION

Embracing the complex and diverse nature of the heterogenous group of malignancies that are included under the umbrella of "endometrial cancer" (EC) to better align prognosis with treatment recommendations, requires a more comprehensive staging system. Our goal at the development of the new FIGO staging was to provide 1) high accuracy in the predictive prognosis for a patient with EC, which is the genuine purpose of a staging system, and 2) identification of distinct treatment relevant subgroups. Since the publication of the 2009 staging system by the International Federation of Gynecology and Obstetrics (FIGO) 14  years ago (1, 2), our understanding of the biology and natural history of EC has undergone a radical transformation. The TGCA results in 2013 (3), and the many validation reports published since then (4-9), have taught us that "EC" is composed of at least four distinct molecularly defined diseases. Strong histopathologic markers reflecting tumor biology such as lymph vascular space invasion (LVSI) were identified. Importantly, anatomical borders were shown to lose their prognostic relevance for EC patients in the presence of dominant tumor biology-markers such as molecular subtypes/LVSI (10, 11). This emphasizes the integration of these novel markers into a prognostic staging system that aims to be relevant to patients. The 2023 FIGO staging system for EC harmonizes and integrates old and new knowledge on anatomic, histopathologic, and molecular features (12). It requires a change in our perception of a staging system, from a traditional purely anatomical borders-based system to an integrated staging system integrating anatomical borders and tumor biology as pivotal prognostic factors for EC patients while providing important information for treatment decision making. Therefore, the 2023 FIGO staging system demonstrates the logical next step in the evolution of the revolution in a patient-centric staging approach. Below, we elucidate the rationale for the FIGO 2023 endometrial cancer staging system.