Impact of endometrial carcinoma histotype on the prognostic value of the TCGA molecular subgroups

The impact of COVID-19 pandemic on obstetrics and gynecology hospitalization rate and on reasons for seeking emergency care: a systematic review and meta-analysis

BACKGROUND

During the lockdown due to COVID-19 pandemic, utilization of emergency care units has been reported to be reduced for obstetrical and gynaecological reasons. The aim of this systematic review is to assess if this phenomenon reduced the rate of hospitalizations for any reason and to evaluate the main reasons for seeking care in this subset of the population.

METHODS

The search was conducted using the main electronic databases from January 2020 to May 2021. The studies were identified with the use of a combination of: "emergency department" OR "A&E" OR "emergency service" OR "emergency unit" OR "maternity service" AND "COVID-19" OR "COVID-19 pandemic" OR "SARS-COV-2" and "admission" OR "hospitalization". All the studies that evaluated women going to obstetrics & gynecology emergency department (ED) during the COVID-19 pandemic for any reason were included.

RESULTS

The pooled proportion (PP) of hospitalizations increased from 22.7 to 30.6% during the lockdown periods, in particular from 48.0 to 53.9% for delivery. The PP of pregnant women suffering from hypertensive disorders increased (2.6 vs 1.2%), as well as women having contractions (52 vs 43%) and rupture of membranes (12.0 vs 9.1%). Oppositely, the PP of women having pelvic pain (12.4 vs 14.4%), suspected ectopic pregnancy (1.8 vs 2.0), reduced fetal movements (3.0 vs 3.3%), vaginal bleeding both for obstetrical (11.7 vs 12.8%) and gynecological issues (7.4 vs 9.2%) slightly reduced.

CONCLUSION

During the lockdown, an increase in the proportion of hospitalizations for obstetrical and gynecological reasons has been registered, especially for labor symptoms and hypertensive disorders.

Diffusion kurtosis imaging with multiple quantitative parameters for predicting microsatellite instability status of endometrial carcinoma

PURPOSE

To explore the value of Diffusion kurtosis imaging (DKI) with multiple quantitative parameters in predicting microsatellite instability (MSI) status in endometrial carcinoma (EC).

METHODS

Data of 38 patients with EC were retrospectively analyzed, including 12 MSI and 26 microsatellite stability (MSS). All patients underwent preoperative 1.5T MR examination. The quantitative values of the DKI sequence in the tumor parenchyma of the two groups, including mean kurtosis (MK), axial kurtosis (Ka), radial kurtosis (Kr), fractional anisotropy (FA), fractional anisotropy of kurtosis (FAk), mean diffusivity (MD), axial diffusivity (Da), and radial diffusivity (Dr) were measured by two observers, respectively.

RESULTS

The MK, Ka, Kr, FA, FAk, MD, Da, and Dr values of the MSI group were 1.074 ± 0.162, 1.253 ± 0.229, 0.886 ± 0.205, 0.207 ± 0.041, 0.397 ± 0.129, 0.890 ± 0.158 μm2/ms, 1.083 ± 0.218 μm2/ms, and 0.793 ± 0.133 μm2/ms, and 0.956 (0.889,1.002), 1.048 ± 0.211, 0.831 ± 0.099, 0.188 ± 0.061, 0.334 (0.241,0.410), 1.043 ± 0.217 μm2/ms, 1.235 ± 0.229 μm2/ms, and 0.946 ± 0.215 μm2/ms in the MSS group. The MK and Ka values of the MSI group were higher than those of the MSS group (P<0.05), while the MD and Dr values were lower than those of the MSS group (P<0.05). The AUC of MK, Ka, MD, and Dr values in predicting MSI status of EC was 0.763, 0.729, 0.731, 0.748, respectively. The sensitivity was 58.3%, 50.0%, 65.4%, 61.5%, and the specificity was 96.2%, 92.3%, 75.0%, 83.3%, respectively.

CONCLUSION

DKI can provide multiple quantitative parameters for predicting the MSI status of EC, and assist gynecologist to optimize the treatment plan for the patients.

Molecular Signature of Endometrial Cancer with Coexistent Adenomyosis: A Multicentric Exploratory Analysis

Adenomyosis has been associated with better survival outcomes in women with endometrial cancer. However, although the endometrial cancer patients' risk stratification has been revolutionized by molecular findings, the impact of the molecular signature on the favorable prognosis of endometrial cancer patients with coexistent adenomyosis is unknown. The aim of our study was to compare the prevalence of molecular groups at poor and intermediate prognosis between endometrial cancer patients with and without coexistent adenomyosis. A multicentric, observational, retrospective, cohort study was performed to assess the differences in the prevalence of p53-abnormal expression (p53-abn) and mismatch repair protein-deficient expression (MMR-d) signatures between endometrial cancer patients with and without coexistent adenomyosis. A total of 147 endometrial cancer patients were included in the study: 38 in the adenomyosis group and 109 in the no adenomyosis group. A total of 37 patients showed the MMR-d signature (12 in the adenomyosis group and 25 in the no adenomyosis group), while 12 showed the p53-abn signature (3 in the adenomyosis group and 9 in the no adenomyosis group). No significant difference was found in the prevalence of p53-abn (p = 1.000) and MMR-d (p = 0.2880) signatures between endometrial cancer patients with and without coexistent adenomyosis. In conclusion, the molecular signature does not appear to explain the better prognosis associated with coexistent adenomyosis in endometrial cancer patients. Further investigation of these findings is necessary through future larger studies.

Exploring the role of macrophages in the progression from atypical hyperplasia to endometrial carcinoma through single-cell transcriptomics and bulk transcriptomics analysis

Introduction

In this study, we aimed to identify key genes in endometrial cancer by conducting single-cell analysis of macrophages.

Methods

We sourced clinical data from the TCGA database as well as supplementary datasets GSE201926 and GSE173682. Using bulk-seq data of atypical endometrial hyperplasia and endometrial cancer, we pinpointed key differentially expressed genes. Single-cell RNA sequencing was utilized for further gene expression analysis. Cluster analysis was conducted on TCGA tumor data, identifying two distinct subtypes. Statistical methods employed included LASSO regression for diagnostic modeling and various clustering algorithms for subtype identification.

Results

We found that subtype B was closely related to cellular metabolism. A diagnostic model was established using LASSO regression and was based on the genes CDH18, H19, PAGE2B, PXDN, and THRB. This model effectively differentiated the prognosis of cervical cancer. We also constructed a prognosis model and a column chart based on these key genes.

Discussion

Through CIBERSORT analysis, CDH18 and PAGE2B were found to be strongly associated with macrophage M0. We propose that these genes influence the transformation from atypical endometrial hyperplasia to endometrial cancer by affecting macrophage M0. In conclusion, these key genes may serve as therapeutic targets for endometrial cancer. A new endometrial cancer risk prognosis model and column chart have been constructed based on these genes, offering a reliable direction for future cervical cancer treatment.

The value of serum HE4 and CA125 levels for monitoring the recurrence and risk stratification of endometrial endometrioid carcinoma

To evaluate the role of serum human epididymis secretory protein 4 (HE4) and carbohydrate antigen 125 (CA125) levels for predicting and monitoring the recurrence of endometrial endometrioid carcinoma (EEC) and assessing preoperative risk stratification in EEC patients. A total of 434 EEC patients were selected for this retrospective study between May 2011 and August 2018. Serum HE4 and CA125 levels were analyzed before the initial treatment, at the first postoperative follow-up, and at recurrence or the last follow-up. Patients were risk stratified according to the European Society for Medical Oncology (ESMO), European Society for Radiotherapy & Oncology (ESTRO) and European Society of Gynaecological Oncology (ESGO) guideline. We compared the ability of these biomarkers for prediction and monitoring by performing receiver operating characteristic curve analysis and identified optimal cut-off values by determining the Youden index. Kaplan-Meier analyses were also performed to determine prognostic value. Preoperative serum HE4 was identified as a significant predictor for the recurrence of EEC (p = 0.014). Preoperative serum HE4 and CA125 levels were related to depth of myometrial invasion, lymph node status and FIGO stage. Serum HE4 and CA125 levels were both statistically significant markers for monitoring the recurrence of EEC (P = 0.000 for each biomarker). When combined, the two markers showed higher levels of sensitivity and specificity. The two biomarkers were also significant biomarkers for evaluating the risk stratification of patients undergoing lymphadenectomy (P = 0.000 for each biomarker). For premenopausal stage I patients, preoperative serum HE4 and CA125 levels were significant predictors of the need for ovarian preservation (P = 0.000 and P = 0.002, respectively). For premenopausal patients with stage I intramucosal differentiation, preoperative serum levels of HE4 were significant predictors for fertility preservation (P = 0.024). Preoperative serum HE4 level can be used to predict the recurrence of EEC. Postoperative serum HE4 and CA125 levels can be used to monitor the recurrence of EEC and are more sensitive when combined. Preoperative serum levels of CA125 and HE4 levels are of significant value for risk stratification in EEC patients.

Overall survival prediction models for gynecological endometrioid adenocarcinoma with squamous differentiation (GE-ASqD) using machine-learning algorithms

The actual 5-year survival rates for Gynecological Endometrioid Adenocarcinoma with Squamous Differentiation (GE-ASqD) are rarely reported. The purpose of this study was to evaluate how histological subtypes affected long-term survivors of GE-ASqD (> 5 years). We conducted a retrospective analysis of patients diagnosed GE-ASqD from the Surveillance, Epidemiology, and End Results database (2004-2015). In order to conduct the studies, we employed the chi-square test, univariate cox regression, and multivariate cox proportional hazards model. A total of 1131 patients with GE-ASqD were included in the survival study from 2004 to 2015 after applying the inclusion and exclusion criteria and the sample randomly split into a training set and a test set at a ratio of 7:3. Five machine learning algorithms were trained based on nine clinical variables to predict the 5-year overall survival. The AUC of the training group for the LR, Decision Tree, forest, Gbdt, and gbm algorithms were 0.809, 0.336, 0.841, 0.823, and 0.856 respectively. The AUC of the testing group was 0.779, 0.738, 0.753, 0.767 and 0.734, respectively. The calibration curves confirmed good performance of the five machine learning algorithms. Finally, five algorithms were combined to create a machine learning model that forecasts the 5-year overall survival rate of patients with GE-ASqD.

Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods

Aim: As the most common cardiomyopathy, dilated cardiomyopathy (DCM) often leads to progressive heart failure and sudden cardiac death. This study was designed to investigate the molecular subgroups of DCM. Methods: Three datasets of DCM were downloaded from GEO database (GSE17800, GSE79962 and GSE3585). After log2-transformation and background correction with "limma" package in R software, the three datasets were merged into a metadata cohort. The consensus clustering was conducted by the "Consensus Cluster Plus" package to uncover the molecular subgroups of DCM. Moreover, clinical characteristics of different molecular subgroups were compared in detail. We also adopted Weighted gene co-expression network analysis (WGCNA) analysis based on subgroup-specific signatures of gene expression profiles to further explore the specific gene modules of each molecular subgroup and its biological function. Two machine learning methods of LASSO regression algorithm and SVM-RFE algorithm was used to screen out the genetic biomarkers, of which the discriminative ability of molecular subgroups was evaluated by receiver operating characteristic (ROC) curve. Results: Based on the gene expression profiles, heart tissue samples from patients with DCM were clustered into three molecular subgroups. No statistical difference was found in age, body mass index (BMI) and left ventricular internal diameter at end-diastole (LVIDD) among three molecular subgroups. However, the results of left ventricular ejection fraction (LVEF) statistics showed that patients from subgroup 2 had a worse condition than the other group. We found that some of the gene modules (pink, black and grey) in WGCNA analysis were significantly related to cardiac function, and each molecular subgroup had its specific gene modules functions in modulating occurrence and progression of DCM. LASSO regression algorithm and SVM-RFE algorithm was used to further screen out genetic biomarkers of molecular subgroup 2, including TCEAL4, ISG15, RWDD1, ALG5, MRPL20, JTB and LITAF. The results of ROC curves showed that all of the genetic biomarkers had favorable discriminative effectiveness. Conclusion: Patients from different molecular subgroups have their unique gene expression patterns and different clinical characteristics. More personalized treatment under the guidance of gene expression patterns should be realized.

Microsatellite instability as a marker of prognosis: a systematic review and meta-analysis of endometrioid endometrial cancer survival data

INTRODUCTION

To investigate whether microsatellite instability (MSI) is an important prognostic biomarker for endometrioid endometrial cancer (EEC).

METHODS

The PubMed, EMBASE, and the Cochrane Cooperative Library databases were searched from inception to July 2021. Overall survival, disease-free survival, progression-free survival, EEC-specific survival, recurrence-free survival, and the recurrence rate were pooled to analyze the correlation between MSI and EEC. In addition, Egger's regression analysis and Begg's test were used to detect publication bias.

RESULTS

17 studies met the inclusion criteria and were included in our meta-analysis with a sample size of 4723, and the included patients with endometrioid cancer (EC) all were EEC. The pooled hazard ratios (HR) in patients with EEC showed that MSI was significantly associated with shorter overall survival [HR = 1.37, 95% confidence interval (CI) (1.00-1.86), p = 0.048, I2 = 60.6%], shorter disease-free survival [HR = 1.99, 95% CI (1.31-3.01), p = 0.000, I2 = 67.2%], shorter EEC-specific survival [HR = 2.07, 95% CI (1.35-3.18), p = 0.001, I2 = 31.6%] and a higher recurrence rate [Odds ratios (OR) = 2.72, 95% CI (1.56-4.76), p = 0.000, I2 = 0.0%]. In the early-stage EEC subgroup, MSI was significantly associated with shorter overall survival [HR = 1.47, 95% CI (1.11-1.95), p = 0.07], shorter disease-free survival [HR = 4.17, 95% CI (2.37-7.41), p = 0.000], and shorter progression-free survival [HR = 2.41, 95% CI (1.05-5.54), p = 0.039]. No significant heterogeneity was observed in overall survival (I2 = 20.9%), disease-free survival (I2 = 0.0%), or progression-free survival (I2 = 0.0%) in patients with early-stage EEC. Meanwhile, publication bias was not observed, and the p-value for Egger's test of overall survival, disease-free survival, and EEC-specific survival were p = 0.131, p = 0.068, and p = 0.987, respectively.

CONCLUSION

MSI is likely an important biomarker for poor prognosis in patients with EEC, and this correlation is even more certain in patients with early-stage EEC.

Uterine Neoplasms, Version 1.2023, NCCN Clinical Practice Guidelines in Oncology

Adenocarcinoma of the endometrium (also known as endometrial cancer, or more broadly as uterine cancer or carcinoma of the uterine corpus) is the most common malignancy of the female genital tract in the United States. It is estimated that 65,950 new uterine cancer cases will have occurred in 2022, with 12,550 deaths resulting from the disease. Endometrial carcinoma includes pure endometrioid cancer and carcinomas with high-risk endometrial histology (including uterine serous carcinoma, clear cell carcinoma, carcinosarcoma [also known as malignant mixed Müllerian tumor], and undifferentiated/dedifferentiated carcinoma). Stromal or mesenchymal sarcomas are uncommon subtypes accounting for approximately 3% of all uterine cancers. This selection from the NCCN Guidelines for Uterine Neoplasms focuses on the diagnosis, staging, and management of pure endometrioid carcinoma. The complete version of the NCCN Guidelines for Uterine Neoplasms is available online at NCCN.org.

The clinicopathological characteristics of POLE-mutated/ultramutated endometrial carcinoma and prognostic value of POLE status: a meta-analysis based on 49 articles incorporating 12,120 patients

Objective

This study was designed to investigate the frequency and clinicopathological characteristics of POLE-mutated/ultramutated (POLEmut) in endometrial carcinoma (EC) and assess the prognostic values of POLE status.

Methods

Electronic databases were screened to identify relevant studies. Meta-analysis was used to yield the pooled frequency of POLEmut and prognostic parameters by 95% confidence interval (CI), odd ratio (OR), and hazard ratio (HR).

Results

Totally, 12,120 EC patients from 49 studies were included. The pooled frequency of POLEmut was 7.95% (95% CI: 6.52–9.51%) in EC, 7.95% (95% CI: 6.55–9.46%) in endometrioid endometrial carcinoma, and 4.45% (95% CI: 2.63–6.61%) in nonendometrioid endometrial carcinoma. A higher expression occurred in grade 3 (OR = 0.51, 95% CI: 0.36–0.73, P = 0.0002), FIGO stage I-II (OR = 1.91, 95% CI: 1.29–2.83, P = 0.0013), and myometrial invasion< 50% (OR = 0.66, 95% CI: 0.50–0.86, P = 0.0025). Survival analyses revealed favorable OS (HR = 0.68, 95% CI: 0.55–0.85, P = 0.0008), PFS (HR = 0.74, 95% CI: 0.59–0.93, P = 0.0085), DSS (HR = 0.61, 95% CI: 0.44–0.83, P = 0.0016), and RFS (HR = 0.47, 95% CI: 0.35–0.61, P <  0.0001) for POLEmut ECs. Additionally, the clinical outcomes of POLEmut group were the best, but those of p53-abnormal/mutated (p53abn) group were the worst, while those of microsatellite-instable (MSI)/hypermutated group and p53-wild-type (p53wt) group were medium.

Conclusions

The POLEmut emergered higher expression in ECs with grade 3, FIGO stage I-II, and myometrial invasion< 50%; it might serve as a highly favorable prognostic marker in EC; the clinical outcomes of POLEmut group were the best one among the four molecular subtypes.

HE4 Tissue Expression as A Putative Prognostic Marker in Low-Risk/Low-Grade Endometrioid Endometrial Cancer: A Review

Low-grade stage I endometrioid endometrial carcinomas should have an excellent prognosis, but a small subset of these cancers can relapse. The search for putative immunohistochemical prognostic markers for relapse in low-risk/low-grade endometrioid endometrial cancers remains open. Among the candidate molecules that may implicate the roles of immunohistochemical risk markers, we focused our attention on human epididymis protein 4 (HE4) after a review of the literature. Few authors have devoted themselves to this topic, and none have found a correlation between the tissue expression of HE4 and the molecular classification of endometrial cancer. Five different variants of HE4 mRNA and multiple protein isoforms of HE4 were identified many years ago, but current HE4 assays only measure the total HE4 expression and do not distinguish the different proteins encoded by different mRNA variants. It is important to have an approach to distinguish specific variants in the future.

Is preoperative ultrasound tumor size a prognostic factor in endometrial carcinoma patients?

Objective

We aimed to assess the prognostic value of preoperative ultrasound tumor size in EC through a single center, observational, retrospective, cohort study.

Methods

Medical records and electronic clinical databases were searched for all consecutive patients with EC, preoperative ultrasound scans available to ad hoc estimate tumor size, and a follow-up of at least 2-year, at our Institution from January 2010 to June 2018. Patients were divided into two groups based on different dimensional cut-offs for the maximum tumor diameter: 2, 3 and 4 cm. Differences in overall survival (OS), disease specific survival (DSS) and progression-free survival (PFS) were assessed among the groups by using the Kaplan–Meier estimator and the log-rank test.

Results

108 patients were included in the study. OS, DSS and PFS did not significantly differ between the groups based on the different tumor diameter cut-offs. No significant differences were found among the groups sub-stratified by age, BMI, FIGO stage, FIGO grade, lymphovascular space invasion status, myometrial invasion, lymph nodal involvement, histotype, and adjuvant treatment.

Conclusions

Preoperative ultrasound tumor size does not appear as a prognostic factor in EC women.

Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing–based gene panel

Over the past two decades, the incidence of endometrial cancer (EC) is increasing, and there is a need for molecular biomarkers to predict prognosis and guide treatment. A recent study from The Cancer Genome Atlas suggested to implement the EC analysis by molecular profile for improving diagnosis, prognosis, and therapeutic treatment. In this study, next-generation sequencing was performed on 70 cases of G3 endometrioid ECs (EECs) using an 11-gene panel (TP53, MLH1, MSH2, MSH6, PMS2, EPCAM, PIK3CA, CTNNB1, KRAS, PTEN, and POL) for molecular classification. The molecular classification based on the 11-gene NGS panel identified four molecular subgroups: POLE-ultramutated (n = 20, 28.6%), MSI-H (n = 27, 38.6%), NSMP (n = 13, 18.6%) and TP53mut (n = 10, 14.3%). The NGS method showed 98.6% (69 of 70 cases, kappa value 98%) in concordance with the cases assessed by immunohistochemistry (IHC). Among the seven dead cases, four were MSI-H tumors, two were TP53mut/p53abn tumors, and one was NSMP tumors with an average overall survival (OS) of 14.7 months. TP53mut subgroup showed that poor OS rates and POLE group have favorable prognosis. Our work suggested that the 11-gene panel is suitable for molecular classification in G3 EECs and for guiding prognosis and treatment decisions.

Characterizing the extracellular matrix transcriptome of cervical, endometrial, and uterine cancers

•

The matrisome plays a critical role in the progression of cancer, but the matrisomes of gynecological cancers have not been well characterized.

•

We built an in silico analysis pipeline to analyze publicly available bulk RNA-seq datasets of cervical, endometrial, and uterine cancers.

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Using a machine learning approach, we identified genes and gene networks that held inferential significance for cancer stage and patient survival.

•

Cervical, endometrial, and uterine cancers are highly distinct from one another and should be analyzed separately.

Increasingly, the matrisome, a set of proteins that form the core of the extracellular matrix (ECM) or are closely associated with it, has been demonstrated to play a key role in tumor progression. However, in the context of gynecological cancers, the matrisome has not been well characterized. A holistic, yet targeted, exploration of the tumor microenvironment is critical for better understanding the progression of gynecological cancers, identifying key biomarkers for cancer progression, establishing the role of gene expression in patient survival, and for assisting in the development of new targeted therapies. In this work, we explored the matrisome gene expression profiles of cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), uterine corpus endometrial carcinoma (UCEC), and uterine carcinosarcoma (UCS) using publicly available RNA-seq data from The Cancer Genome Atlas (TCGA) and The Genotype-Tissue Expression (GTEx) portal. We hypothesized that the matrisomal expression patterns of CESC, UCEC, and UCS would be highly distinct with respect to genes which are differentially expressed and hold inferential significance with respect to tumor progression, patient survival, or both. Through a combination of statistical and machine learning analysis techniques, we identified sets of genes and gene networks which characterized each of the gynecological cancer cohorts. Our findings demonstrate that the matrisome is critical for characterizing gynecological cancers and transcriptomic mechanisms of cancer progression and outcome. Furthermore, while the goal of pan-cancer transcriptional analyses is often to highlight the shared attributes of these cancer types, we demonstrate that they are highly distinct diseases which require separate analysis, modeling, and treatment approaches. In future studies, matrisome genes and gene ontology terms that were identified as holding inferential significance for cancer stage and patient survival can be evaluated as potential drug targets and incorporated into in vitro models of disease.

Bone Metastases of Endometrial Carcinoma Treated by Surgery: A Report on 13 Patients and a Review of the Medical Literature

BACKGROUND

The aim of this study was to describe the clinicopathological features of endometrial cancer (EC) patients with bone metastases treated with surgery and to systematically review the literature.

METHODS

We performed a retrospective study to include patients with bone metastases of EC at Peking University People's Hospital from 2000 to 2019. Clinicopathological features and survival outcomes were collected.

RESULTS

Among the 1662 patients with EC, 14 (0.84%) were identified with bone metastases, and all were treated surgically. Thirteen cases were analyzed. Four had bone metastases when diagnosed, and the remaining nine cases had bone metastases when first relapsed, with a median time to recurrence of 13 months (range, 5-144). The median age of the 13 patients was 58 years old (range, 45-76). Twelve were endometrioid carcinoma. The majority of sites of bone metastases were the pelvis, followed by the spine. The median overall survival (OS) was 57 months. We further combined the 13 patients with another 24 cases identified from literature research. There was no significant difference in clinicopathological characteristics between the patients with bone metastases when diagnosed and when they first relapsed. The median OS was numerically longer for patients with bone metastases when diagnosed than when they first relapsed (57 vs. 36 months, p = 0.084).

CONCLUSIONS

Patients with bone metastases of EC might benefit from comprehensive treatment based on surgery, as symptoms can be palliated and survival can probably be extended.

Sentinel Lymph Node Biopsy in Surgical Staging for High-Risk Groups of Endometrial Carcinoma Patients

BACKGROUND

In endometrial carcinoma (EC) patients, sentinel lymph node (SLN) biopsy has shown the potential to reduce post-operative morbidity and long-term complications, and to improve the detection of low-volume metastasis through ultrastaging. However, while it has shown high sensitivity and feasibility in low-risk EC patient groups, its role in high-risk groups is still unclear.

AIM

To assess the role of SLN biopsy through the cervical injection of indocyanine green (ICG) in high-risk groups of early-stage EC patients.

MATERIALS AND METHODS

Seven electronic databases were searched from their inception to February 2021 for studies that allowed data extraction about detection rate and accuracy of SLN biopsy through the cervical injection of ICG in high-risk groups of early-stage EC patients. We calculated pooled sensitivity, false negative (FN) rate, detection rate of SLN per hemipelvis (DRh), detection rate of SLN per patients (DRp), and bilateral detection rate of SLN (DRb), with 95% confidence interval (CI).

RESULTS

Five observational cohort studies (three prospective and two retrospective) assessing 578 high risk EC patients were included. SLN biopsy sensitivity in detecting EC metastasis was 0.90 (95% CI: 0.03-0.95). FN rate was 2.8% (95% CI: 0.6-11.6%). DRh was 88.4% (95% CI: 86-90.5%), DRp was 96.6% (95% CI: 94.7-97.8%), and DRb was 80% (95% CI: 75.4-83.9).

CONCLUSION

SLN biopsy through ICG cervical injection may be routinely adopted instead of systematic pelvic and para-aortic lymphadenectomy in surgical staging for high-risk groups of early-stage EC patients, as well as in low-risk groups.

Prognostic significance of CTNNB1 mutation in early stage endometrial carcinoma: a systematic review and meta-analysis

Background

In the last years, mutations in the exon 3 of CTNNB1 have emerged as a possible prognostic factor for recurrence in early stage endometrioid endometrial carcinoma, especially in cases with no specific molecular profile (NSMP).

Objective

To define the prognostic value of CTNNB1 mutations in early stage endometrioid endometrial carcinoma, through a systematic review and meta-analysis.

Methods

Electronic databases were searched from their inception to November 2020 for all studies assessing the prognostic value of CTNNB1 mutation in early stage (FIGO I–II) endometrioid endometrial carcinoma. Odds ratio (OR) for tumor recurrence and hazard ratio (HR) for disease-free survival (DFS) were calculated with a significant p value < 0.05.

Results

Seven studies with 1031 patients were included. Four studies were suitable for meta-analysis of OR and showed significant association between CTNNB1 mutation and the absolute number of recurrence (OR = 3.000; p = 0.019); the association became stronger after excluding patients with known molecular status other than NSMP (HR = 5.953; p = 0.012). Three studies were suitable for meta-analysis of HR and showed no significant association between CTNNB1 mutation and decreased DFS (HR = 1.847; p = 0.303); the association became significant after excluding patients with known molecular status other than NSMP (HR = 2.831; p = 0.026).

Conclusion

CTNNB1 mutation is significantly associated with recurrence in early stage endometrioid endometrial carcinomas, especially in the NSMP, appearing potentially useful in directing adjuvant treatment.

Prognostic Values From Integrated Analysis of the Nomogram Based on RNA-Binding Proteins and Clinical Factors in Endometrial Cancer

Background:

Endometrial cancer (EC) is a common gynecological malignancy, and the prognosis of advanced EC is unsatisfactory. The deregulated expression of RNA-binding proteins (RBPs) is closely associated with the occurrence and development of cancer. However, the role of RBPs in EC remains unclear. The aim of this study was to validate the prognostic values of RBPs combined with clinical factors.

Methods:

We downloaded the RNA sequencing and clinical data for EC from The Cancer Genome Atlas (TCGA) database. R software was used to identify the differentially expressed RBPs. Univariate and multivariate Cox proportional hazards regression analyses were performed to predict the 4 overall survival (OS)-related RBPs. We then constructed a nomogram combining the 4-RBP signature with clinical risk factors to assess the prognostic power. Furthermore, we validated the expression of 4 RBPs in our patient samples using quantitative real-time polymerase chain reaction (qRT-PCR) and explored the effect of cold-inducible RNA-binding protein (CIRBP) on EC tumor growth using cell proliferation experiments.

Results:

It is found that Shwachman-Bodian-Diamond syndrome (SBDS), CIRBP, MRPL15, and CELF4 were significantly related to the prognosis of EC patients. In addition, the nomogram showed better performance in OS predictions than the International Federation of Gynecology and Obstetrics (FIGO) stage. The qRT-PCR results showed that low CIRBP expression was associated with cell proliferation.

Conclusions:

In our study, we constructed a 4-RBP signature-based nomogram combined with clinical factors in EC that could effectively predict the prognosis of EC patients. The results provide novel insights into the development of treatment targets and prognostic molecular markers in EC.

Hematologic parameters as a predictor of myometrial and cervical invasion in endometrial cancer

BACKGROUND

Despite significant improvements in molecular biology for uterine cancer, we did not have specific peripheral blood biomarkers for clinical usage such as prognostic or predictive outcomes of disease in the last decade.

METHODS

A retrospective endometrial cancer database was collected from a tertiary gynecologic cancer center. The cohort included only endometrioid type uterine cancer. Subsequently, we investigated the relationship between preoperative hematologic parameters and pathologic findings.

RESULTS

In this study, 191 non-metastatic endometrial cancer (median age was 61 years, ranging from 41 to 86 years) were analyzed. Lymphocyte-to-monocyte ratio (LMR) was significantly different between the FIGO stage I and II (4.48 vs. 3.88, P=0.004). Platelet-to-lymphocyte (PLR) was significantly higher in FIGO stage III than stage I, and LMR was significantly decreased by each FIGO stage. LMR values significantly decreased with a depth of myometrial invasion. PLR and eosinophil-to-lymphocyte ratio (ELR) values were significantly higher in patients with cervical invasion compared to those without invasion, 287 vs. 144, P=0.005, 10.3 vs. 6, P=0.022, respectively.

CONCLUSIONS

This study revealed that low-LMR levels and high-PLR with ELR levels correlated with myometrial and cervical invasion, respectively. These findings can explain why hematologic parameters have an impact on oncologic outcomes.

Uterine carcinosarcoma vs endometrial serous and clear cell carcinoma: A systematic review and meta-analysis of survival

Background

It is unclear whether uterine carcinosarcoma (UCS) is more aggressive than endometrial serous carcinoma (SC) and clear cell carcinoma (CCC).

Objectives

To compare the prognosis of UCS to that of endometrial SC and CCC, through a systematic review and meta‐analysis.

Methods

Four electronic databases were searched from January 2000 to October 2020. All studies assessing hazard ratio (HR) for death in UCS vs SC and/or CCC. HRs for death with 95% confidence interval were extracted and pooled by using a random‐effect model. A significant P‐value <0.05 was adopted.

Results

Six studies with 11 029 patients (4995 with UCS, 4634 with SC, 1346 with CCC and 54 with either SC or CCC) were included. UCS showed a significantly worse prognosis than SC/CCC both overall (HR = 1.51; P = 0.008) and at early stage (HR = 1.58; P < 0.001). Similar results were found for UCS vs SC (HR = 1.53; P < 0.001) and UCS vs CCC (HR = 1.60; P < 0.001).

Conclusions

Compared to SC and CCC, UCS has a significantly worse prognosis, with a 1.5–1.6‐fold increased risk of death. This might justify a more aggressive treatment for UCS compared to SC and CCC. Further studies are necessary to define the prognostic impact of different molecular subgroups.

Uterine carcinosarcoma shows worse prognosis than serous and clear cell carcinoma; this could impact patient management.

Ki67 as a prognostic marker in uterine leiomyosarcoma: A quantitative systematic review

Ki67 labeling index (LI) has been proposed as a prognostic factor in uterine leiomyosarcoma (uLMS), although the evidence in this field is still unclear. We aimed to assess the prognostic value of ki67 LI in uLMS. A systematic review was performed by searching electronic databases from their inception to August 2020 for all studies assessing the prognostic value of ki67 LI in uLMS. Ki67 LI was assessed to the nearest 10% to define the most prognostically accurate threshold. Cox regression survival analysis with calculation of hazard ratio (HR) of death was performed; a p-value < 0.05 was considered significant. Ten studies were included in the qualitative review, out of which 6 were suitable for quantitative review. The absolute risk of death was 0.29 for a ki67 LI < 10%, remained stable at 0.49 in the 10%-39% LI range and increased to 0.65 for a LI ≥ 40%. On univariate analysis, both 10% and 40% thresholds were significantly associated with the hazard of death, with HRs of 3.349 (p = 0.007) and 3.172 (p = 0.001), respectively. On multivariate analysis, only the 10% threshold was significantly associated with the hazard of death (HR = 2.712; p = 0.028). In conclusion, a Ki67 LI ≥ 10% is a significant prognostic factor in uLMS.

Prognostic value of the TCGA molecular classification in uterine carcinosarcoma

Background

The TCGA molecular groups of endometrial carcinoma are “POLE‐mutated” (POLEmut), “microsatellite‐instable/mismatch repair‐deficient” (MSI/MMRd), “TP53‐mutated/p53‐abnormal” (TP53mut/p53abn), and “no specific molecular profile” (NSMP).

Objective

Prognostic assessment of the TCGA groups in uterine carcinosarcoma (UCS).

Search strategy

Systematic review from January 2000 to January 2021.

Selection criteria

Studies assessing the TCGA groups in UCS.

Data collection and analysis

Progression‐free survival (PFS) and overall survival (OS) were assessed by Kaplan–Meier and Cox analyses (reference: TP53mut/p53abn group) and compared with endometrioid and serous carcinomas (original TCGA cohort), with a significant P < 0.050.

Main results

Five studies with 263 UCS were included. Compared with TP53mut/p53abn UCS, MSI/MMRd UCS showed significantly better PFS (P < 0.001) but similar OS (P = 0.788), whereas NSMP UCS showed similar PFS (P = 0.936) and OS (P = 0.240). Compared with their endometrioid/serous counterparts, NSMP and TP53mut/p53abn UCS showed significantly worse PFS (P < 0.001 and P = 0.004) and OS (P < 0.001 and P < 0.001), while MSI/MMRd UCS showed similar PFS (P = 0.595) but significantly worse OS (P < 0.001). The POLEmut group showed neither recurrences nor deaths in both the UCS and the endometrioid/serous carcinoma cohorts.

Conclusion

POLEmut UCS show excellent prognosis, whereas TP53mut/p53abn and NSMP UCS show a prognosis even worse than that of TP53mut/p53abn endometrioid/serous carcinomas. The prognosis of MSI/MMRd UCS remains to be defined.

POLEmut UCS show the same excellent prognosis as POLEmut endometrioid carcinomas, while TP53mut/p53abn and NSMP UCS show a prognosis even worse than TP53mut/p53abn endometrioid/serous carcinomas.

Improving preoperative diagnosis in endometrial cancer using systematic morphological assessment and a small immunohistochemical panel

Preoperative histopathological classification determines the primary surgical approach in endometrial carcinoma (EC) patients but has only moderate agreement between preoperative and postoperative diagnosis. The aim of the PIpelle Prospective ENDOmetrial carcinoma (PIPENDO) study is to determine whether histopathological assessment and a small panel of diagnostic biomarkers decreases discrepancies between preoperative and postoperative diagnosis in EC. Preoperative endometrial tissue of 378 included patients with EC was stained with 15 different antibodies. Clinically relevant discrepancies in grade or histological subtype between original preoperative and reviewed postoperative diagnosis were observed in 75 (20%) patients. Highest clinically relevant discrepancy was found in grade 2 ECs (20%), compared to 5% and 14% in respectively grade 1 and 3 endometrioid endometrial carcinomas (EECs). A practical two-biomarker panel with PR and p53 improved diagnostic accuracy (AUC = 0.92; 95%CI = 0.88-0.95) compared to solely morphological evaluation (AUC = 0.86). In preoperative high-grade EC, the diagnostic accuracy of histological subtype was improved by a three-immunohistochemical biomarker panel (PR, IMP3, and L1CAM) (AUC = 0.93; 95%CI = 0.88-0.98) compared to solely morphological evaluation (AUC = 0.81). In conclusion to improve correct preoperative diagnosis in EC, we recommend use of a panel of at least two easily accessible immunohistochemical biomarkers (PR and p53), only in grade 2 ECs. Overall, this will reduce clinically relevant discrepancies in tumor grade and subtype with postoperative diagnosis with 6% (from 20% to 14%). Addition of PR, IMP3, and L1CAM for histological subtyping in high-grade EECs resulted in a further decrease in discrepancies with 8% (from 20% to 12%).

Endometrial Cancer Molecular Characterization: The Key to Identifying High-Risk Patients and Defining Guidelines for Clinical Decision-Making?

Endometrial carcinomas (EC) are the sixth most common cancer in women worldwide and the most prevalent in the developed world. ECs have been historically sub-classified in two major groups, type I and type II, based primarily on histopathological characteristics. Notwithstanding the usefulness of such classification in the clinics, until now it failed to adequately stratify patients preoperatively into low- or high-risk groups. Pieces of evidence point to the fact that molecular features could also serve as a base for better patients' risk stratification and treatment decision-making. The Cancer Genome Atlas (TCGA), back in 2013, redefined EC into four main molecular subgroups. Despite the high hopes that welcomed the possibility to incorporate molecular features into practice, currently they have not been systematically applied in the clinics. Here, we outline how the emerging molecular patterns can be used as prognostic factors together with tumor histopathology and grade, and how they can help to identify high-risk EC subpopulations for better risk stratification and treatment strategy improvement. Considering the importance of the use of preclinical models in translational research, we also discuss how the new patient-derived models can help in identifying novel potential targets and help in treatment decisions.

Towards Personalized Medicine: Non-Coding RNAs and Endometrial Cancer

Endometrial cancer (EC) is the most frequent female cancer associated with excellent prognosis if diagnosed at an early stage. The risk factors on which clinical staging is based are constantly updated and genetic and epigenetic characteristics have recently been emerging as prognostic markers. The evidence shows that non-coding RNAs (ncRNAs) play a fundamental role in various biological processes associated with the pathogenesis of EC and many of them also have a prognosis prediction function, of remarkable importance in defining the therapeutic and surveillance path of EC patients. Personalized medicine focuses on the continuous updating of risk factors that are identifiable early during the EC staging to tailor treatments to patients. This review aims to show a summary of the current classification systems and to encourage the integration of various risk factors, introducing the prognostic role of non-coding RNAs, to avoid aggressive therapies where not necessary and to treat and strictly monitor subjects at greater risk of relapse.

Identification of Distinct Molecular Subtypes of Endometrioid Adenocarcinoma

Endometrial carcinoma (EC) is one of the most common gynecological cancers worldwide. Endometrioid adenocarcinoma (EAC) is the major form of EC, accounting for 75–80% of cases. Currently, there is no molecular classification system for EAC, so there are no corresponding targeted treatments. In this study, we identified two distinct molecular subtypes of EAC with different gene expression patterns and clinicopathologic characteristics. Subtype I EAC cases, accounting for the majority of cases (56%), were associated with an earlier stage, a more well-differentiated grade, a lower tumor invasion rate, and a more favorable prognosis, and the median tumor necrosis percent (15%) was also significantly higher in subtype I EAC. In contrast, subtype II EAC represents high-grade EAC, with a higher tumor invasion rate and tumor weight. The up-regulated genes in subtype I EAC were associated with the immune response, defense response, cell motion, and cell motility pathway, whereas the up-regulated genes in subtype II EAC were associated with the cell cycle, DNA replication, and RNA processing pathways. Additionally, we identified three potential subtype-specific biomarkers, comprising MDM2 (MDM2 proto-oncogene) for subtype I, and MSH2 (mutS homolog 2) and MSH6 (mutS homolog 6) for subtype II.

Preoperative leukocytosis correlates with unfavorable pathological and survival outcomes in endometrial carcinoma: A systematic review and meta-analysis

AIM

To meta-analytically examine the frequency and prognostic impact of preoperative leukocytosis in endometrial carcinoma (EC).

METHODS

Five major databases were searched till 01-February-2021. Studies that evaluated the frequency of preoperative leukocytosis or its correlation with pathological and survival outcomes in EC patients were included. Data were pooled as mean differences (MD), odds ratios (OR), or hazard ratios (HR) with 95% confidence intervals.

RESULTS

Nine retrospective studies, with low risk of bias, were included. The pooled prevalence of preoperative leukocytosis was 11.2% (95% CI: 8.2-14.3). There was a significant correlation between preoperative leukocytosis and FIGO stage III-IV (OR = 2.10, 95% CI: 1.60-2.75), ≥50% myometrial invasion (OR = 1.32, 95% CI: 1.02-1.72), lymph node involvement (OR = 1.83, 95% CI: 1.29-2.59), cervical involvement (OR = 2.29, 95% CI: 1.68-3.13), adnexal involvement (OR = 2.17, 95% CI: 1.42-3.31), and tumor size (MD = 1.10 cm, 95% CI: 0.63-1.58). However, preoperative leukocytosis did not significantly correlate with tumor grade II-III, non-endometrioid histology, peritoneal cytology, and lympho-vascular space involvement (p > 0.05). Additionally, preoperative leukocytosis correlated with higher rates of death (OR = 2.85, 95% CI: 2.03-4.00), tumor recurrence (OR = 2.36, 95% CI: 1.21-4.61), and worse overall survival at univariate and multivariate analyses (HR = 2.90, 95% CI: 2.24-3.75 and HR = 2.16, 95% CI: 1.59-2.94, respectively). As for disease-free survival, preoperative leukocytosis emerged as an independent prognostic factor on univariate (HR = 1.27, 95% CI: 1.16-1.39) but not multivariate (HR = 1.08, 95% CI: 1.00-1.18) analyses.

CONCLUSIONS

Preoperative leukocytosis is common and correlates with poor pathological and survival outcomes in EC patients.

Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer

Obesity, an established risk factor for endometrial cancer (EC), is also associated to increased risks of intraoperative and postoperative complications. A reliable tool to identify patients at low risk for lymph node (LN) metastasis may allow minimizing the surgical staging and omit lymphadenectomy in obese patients. To identify molecular biomarkers that could predict LN involvement in obese patients with EC we performed gene expression analysis in 549 EC patients using publicly available transcriptomic datasets. Patients were filtrated according to cancer subtype, weight (>30 kg/m²) and LN status. While in the LN+ group, NEB, ANK1, AMIGO2, LZTS1, FKBP5, CHGA, USP32P1, CLIC6, CEMIP, HMCN1 and TNFRSF10C genes were highly expressed; in the LN- group CXCL14, FCN1, EPHX3, DDX11L2, TMEM254, RNF207, LTK, RPL36A, HGAL, B4GALNT4, KLRG1 genes were up-regulated. As a second step, we investigated these genes in our patient cohort of 35 patients (15 LN+ and 20 LN-) and found the same correlation with the in-silico analysis. In addition, immunohistochemical expression was confirmed in the tumor tissue. Altogether, our findings propose a novel panel of genes able to predict LN involvement in obese patients with endometrial cancer.

Impact of adenomyosis on the prognosis of patients with endometrial cancer

Background

Despite the high prevalence of adenomyosis in hysterectomy specimens of endometrial carcinoma (EC) patients, the relationship between adenomyosis and EC prognosis appears unclear.

Objective

To assess the prognostic value of coexistent adenomyosis in patients with EC.

Methods

A systematic review and meta‐analysis was performed by searching six electronic databases for studies reporting data on prognosis of EC patients with and without coexistent adenomyosis. Studies with patient selection based on prognostic factors were excluded. Pooled univariate hazard ratio (HR) analyses for overall survival (OS) and disease‐free survival (DRF) were performed, using EC patients without adenomyosis as a control group. For DFS, pooled multivariate HR analysis was also evaluable.

Results

Three studies of 2505 EC patients (553 with and 1952 without adenomyosis) were included. Compared with EC patients without adenomyosis, EC patients with coexistent adenomyosis showed a pooled HR of 0.533 (CI 95%, 0.329–0.864) for OS at univariate analysis; 0.536 (CI 95%, 0.334–0.859) for DFS at univariate analysis; and 0.875 (CI 95%, 0.331–2.315) for DFS at multivariate analysis.

Conclusion

In EC patients with coexistent adenomyosis, the risk of death is halved compared with EC patients without adenomyosis. However, the independence of this association needs to be verified in future studies.

The risk of death is halved in EC patients with coexistent adenomyosis compared with EC patients without adenomyosis, whereas the risk of EC recurrence does not appear to be affected.

Data mining analysis of the prognostic impact of N6-methyladenosine regulators in patients with endometrial adenocarcinoma

We reanalyzed the expression of 16 acknowledged N⁶-methyladenosine (m⁶A) RNA regulators in 406 endometrial adenocarcinoma patients and 19 controls using The Cancer Genome Atlas (TCGA) dataset, and further verified our results using Gene Expression Omnibus (GEO) dataset and real-time quantitative polymerase chain reaction. Thirteen m⁶A RNA methylation regulators were differentially expressed between patients with endometrial adenocarcinoma and controls. FTO, RBM15, and YTHDF1, were identified as independent prognostic markers and closely associated with International Federation of Gynecology and Obstetrics grade in endometrial cancer patients. GEO dataset also verified the differential expression of FTO and RBM15 between patients with endometrial adenocarcinoma and hyperplasia. Functional enrichment and ingenuity pathway analysis network suggested that FTO and RBM15 contributed to the survival of patients with endometrial adenocarcinoma via the regulation of connective tissue development, catabolic process, RNA stability, oxidative demethylation, temperature homeostasis, and energy metabolism through IGF1, IRS1, RBM24, LARP1, and CBFA2T3. The decreased FTO expression and increased RBM15 expression in endometrial adenocarcinoma from our validation cohort was consistent with in silico analysis using TCGA and GEO datasets. In conclusion, m⁶A methylation regulators, especially FTO, RBM15, and YTHDF1, are critical in the progression and prognosis of endometrial adenocarcinoma.

Prognostic value of myometrial invasion and TCGA groups of endometrial carcinoma

BACKGROUND

2021 ESGO/ESTRO/ESP guidelines for the management of patients with endometrial carcinoma (EC) encourage molecular classification and propose a new prognostic risk stratification based on both pathologic and molecular features. Although deep myometrial invasion (DMI) has been considered as a crucial risk factor in EC, it is unclear if its prognostic value is independent from The Cancer Genome ATLAS (TCGA) groups.

AIM

To assess if the prognostic value of DMI is independent from the TCGA groups in EC patients.

MATERIALS AND METHODS

A systematic review and meta-analysis was performed by searching through 5 electronic databases, from their inception to March 2021, for all studies that allowed to assess DMI as a prognostic factor independent of the TCGA groups in EC patients. Pooled hazard ratio (HR) of DMI for overall survival (OS) and disease-free survival (DFS) was calculated at multivariable analyses including TCGA groups as a variable. Superficial myometrial invasion (<50% of myometrial thickness) was considered as a reference. In DFS analyses, locoregional and distant recurrence were separately considered for one study.

RESULTS

Five studies with 2469 patients were included in the systematic review and 3 studies with 1549 patients in the meta-analysis. Pooled HR of DMI was 1.082 (CI 95% 0.85-1.377; p = 0.524) for OS, 1.709 (CI 95% 1.173-2.491; p = 0.005) for DFS, 1.585 (CI 95% 1.154-2.178; p = 0.004) for DFS additionally considering locoregional recurrence for one study, and 1.701 (CI 95% 1.235-2.344, p = 0.001) for DFS additionally considering distant recurrence for the same study.

CONCLUSIONS

DMI does not appear as an independent prognostic factor for OS in EC patients; instead, it seems to affect the risk of recurrence independently from the TCGA groups. Further studies are necessary to confirm these findings and to assess the prognostic impact of DMI separately in each TCGA group.

Clinical features of ProMisE groups identify different phenotypes of patients with endometrial cancer

BACKGROUND

The Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) groups has identified four molecular prognostic groups of endometrial cancer (EC): POLE-mutated (POLE-mt), mismatch repair-deficient (MMR-d), p53-abnormal (p53-abn), p53-wild-type (p53-wt). These groups might have different pathogenesis and risk factors, and might occur in different phenotypes of patients. However, these data are still lacking.

OBJECTIVE

To provide a clinical characterization of the ProMisE groups of EC.

METHODS

A systematic review and meta-analysis was performed by searching seven electronic databases from their inception to December 2020, for all studies reporting clinical characteristics of EC patients in each ProMisE group. Pooled means of age and BMI and pooled prevalence of FIGO stage I and adjuvant treatment in each ProMisE group were calculated.

RESULTS

Six studies with 1, 879 women were included in the systematic review. Pooled means (with standard error) and prevalence values were: in the MMR-d group, age = 66.5 ± 0.6; BMI = 30.6 ± 1.2; stage I = 72.6%; adjuvant treatment = 47.3%; in the POLE-mt group, age = 58.6 ± 2.7; BMI = 27.2 ± 0.9; stage I = 93.7%; adjuvant treatment = 53.6%; in the p53-wt group, age = 64.2 ± 1.9; BMI = 32.3 ± 1.4; stage I = 80.5%; adjuvant treatment = 45.3%; in the p53-abn group, age = 71.1 ± 0.5; BMI = 29.1 ± 0.5; stage I = 50.8%; adjuvant treatment = 64.4%.

CONCLUSION

The ProMisE groups identify different phenotypes of patients. The POLE-mt group included the youngest women, with the lower BMI and the highest prevalence of stage I. The p53-wt group included patients with the highest BMI. The p53-abn group included the oldest women, with the highest prevalence of adjuvant treatment and the lowest prevalence of stage I. The MMR-d group showed intermediate values among the ProMisE groups for all clinical features.

Laparotomic versus robotic surgery in elderly patients with endometrial cancer: A systematic review and meta-analysis

Background

Although robotics has been shown to improve outcomes in some high‐difficulty surgical category patients, it is unclear if such an approach may improve outcomes in elderly patients with endometrial carcinoma (EC).

Objective

To compare robotic and laparotomic surgery in the treatment and staging of elderly EC patients.

Materials and methods

A systematic review and meta‐analysis was performed assessing the risk of overall, intra‐operative, and peri‐operative complications associated with the surgical approach (laparotomic vs robotic) for elderly patients with EC by relative risk (RR). Pooled means ± standard deviation of length of stay were compared with the unpaired t test. Subgroup analyses for overall complications were performed based on different age cut‐offs (>70, >65, and >75 years) and severity of complications (minor and major). A value of P less than 0.05 was considered significant.

Results

Five studies with 7629 EC patients were included. Pooled RR for robotic compared with laparotomic surgery was 0.40 (P < 0.001) for overall, 0.46 (P = 0.18) for intra‐operative, and 0.43 (P < 0.001) for peri‐operative complications. Pooled difference between means ± standard deviation of length of stay for robotic versus laparotomic surgery was −3.34 (P < 0.001). At subgroup analyses, pooled RR of overall complications for robotic surgery versus laparotomic surgery was 0.34 (P < 0.001) in the >70 years, 0.51 (P < 0.01) in the >65 years, 0.20 (P = 0.12) in the >75 years groups. Pooled RR was 0.50 (P = 0.1) in the minor complications subgroup, and 0.42 (P = 0.002) in the major complications subgroup.

Conclusion

Robotics might be a viable alternative to the laparotomic approach for EC in elderly patients because it significantly decreases the risk of overall and peri‐operative complications (mainly major complications), and the length of stay when compared with laparotomy. The decrease in risk of overall complications is greater with increasing patient age.

New Pathological and Clinical Insights in Endometrial Cancer in View of the Updated ESGO/ESTRO/ESP Guidelines

Simple Summary

Histopathological classification of endometrial carcinoma has evidenced two main groups with different biological behavior: low-grade (G1–G2) and high-grade (G3) endometrial tumors. Moreover, the Cancer Genome Atlas (TCGA) documented four molecular categories with distinct clinical, pathologic, and molecular features: POLE/ultramutated (7% of cases) microsatellite instability (MSI)/hypermutated (28%), copy-number low/endometrioid (39%), and copy-number high/serous-like (26%). The aim of the present paper is to review all endometrial carcinoma histotypes in light of the morphological and molecular prognostic TCGA groups.

Abstract

Endometrial carcinoma represents the most common gynecological cancer in Europe and the USA. Histopathological classification based on tumor morphology and tumor grade has played a crucial role in the management of endometrial carcinoma, allowing a prognostic stratification into distinct risk categories, and guiding surgical and adjuvant therapy. In 2013, The Cancer Genome Atlas (TCGA) Research Network reported a large scale molecular analysis of 373 endometrial carcinomas which demonstrated four categories with distinct clinical, pathologic, and molecular features: POLE/ultramutated (7% of cases) microsatellite instability (MSI)/hypermutated (28%), copy-number low/endometrioid (39%), and copy-number high/serous-like (26%). In the present article, we report a detailed histological and molecular review of all endometrial carcinoma histotypes in light of the current ESGO/ESTRO/ESP guidelines. In particular, we focus on the distribution and prognostic value of the TCGA groups in each histotype.

Clinicopathologic and Genomic Analysis of TP53-Mutated Endometrial Carcinomas

PURPOSE

Copy number-high endometrial carcinomas were described by The Cancer Genome Atlas as high-grade endometrioid and serous cancers showing frequent copy-number alterations (CNA), low mutational burden (i.e., non-hypermutant), near-universal TP53 mutation, and unfavorable clinical outcomes. We sought to investigate and compare the clinicopathologic and molecular characteristics of non-hypermutant TP53-altered endometrial carcinomas of four histologic types.

EXPERIMENTAL DESIGN

TP53-mutated endometrial carcinomas, defined as TP53-mutant tumors lacking microsatellite instability or pathogenic POLE mutations, were identified (n = 238) in a cohort of 1,239 endometrial carcinomas subjected to clinical massively parallel sequencing of 410-468 cancer-related genes. Somatic mutations and CNAs (n = 238), and clinicopathologic features were determined (n = 185, initial treatment planning at our institution).

RESULTS

TP53-mutated endometrial carcinomas encompassed uterine serous (n = 102, 55.1%), high-grade endometrial carcinoma with ambiguous features/not otherwise specified (EC-NOS; n = 44, 23.8%), endometrioid carcinomas of all tumor grades (n = 28, 15.1%), and clear cell carcinomas (n = 11, 5.9%). PTEN mutations were significantly more frequent in endometrioid carcinomas, SPOP mutations in clear cell carcinomas, and CCNE1 amplification in serous carcinomas/EC-NOS; however, none of these genomic alterations were exclusive to any given histologic type. ERBB2 amplification was present at similar frequencies across TP53-mutated histologic types (7.7%-18.6%). Although overall survival was similar across histologic types, serous carcinomas presented more frequently at stage IV, had more persistent and/or recurrent disease, and reduced disease-free survival.

CONCLUSIONS

TP53-mutated endometrial carcinomas display clinical and molecular similarities across histologic subtypes. Our data provide evidence to suggest performance of ERBB2 assessment in all TP53-mutated endometrial carcinomas. Given the distinct clinical features of serous carcinomas, histologic classification continues to be relevant.

New Insights into Endometrial Cancer

Simple Summary

Endometrial cancer (EC) represents 90% of uterine cancer and to date its standard clinical approach is still surgery and/or chemo- and radiotherapy. This mini-review illustrates the state of the art in the disease management. In particular, we aim to point out the following features: the hormonal nature of the pathology and the role of steroid receptors in EC promotion and progression; the importance of molecular and histopathological assessment for driving the clinic decision and the promising immunotherapeutic approaches with immune checkpoint blockade.

Abstract

EC is the most common cancer in the female genital tract in developed countries, and with its increasing incidence due to risk factors, such as aging and obesity, tends to become a public health issue. Although EC is a hormone-dependent neoplasm, there are no recommendations for the determination of steroid hormone receptors in the tumor tissue and no hormone therapy has ever been assessed in the adjuvant setting. Furthermore, its immune environment has been slightly characterized, but recent evidences point out how EC microenvironment may increase self-tolerance by reducing the recruitment of cytotoxic immune cells to the tumor site and/or modifying their phenotype, making these cells no longer able to suppress tumor growth. Here we highlight insights for EC management from diagnosis to a desirable trend of personalized treatment.

Tumor-infiltrating lymphocytes and POLE mutation in endometrial carcinoma

BACKGROUND

Polymerase-ε (POLE)-mutated endometrial carcinomas (ECs) have displayed an increased number of tumor-infiltrating lymphocytes (TIL) compared to POLE-wild-type ECs. However, it is unclear if TIL may aid in identifying POLE-mutated ECs when molecular data are unavailable. The identification of a POLE mutation surrogate may be crucial to translate TCGA/ProMisE risk assessment in the clinical practice.

AIM

To assess TIL as histological surrogate of POLE mutation in EC.

MATERIALS AND METHODS

Seven electronic databases were searched from their inception to September 2020 for studies that allowed data extraction about TIL and TCGA/ProMisE groups of EC. We calculated pooled sensitivity, specificity, positive and negative likelihood ratios (LR+ and LR-), diagnostic odds ratio (DOR) and area under the curve (AUC) on SROC curves of TIL in distinguishing POLE-mutated from i) POLE-wild-type, ii) no specific molecular profile (NSMP), iii) POLE-wild-type/MMR-proficient, iii) MMR-deficient ECs.

RESULTS

10 studies assessing 1169 women were included in the qualitative analysis. TIL-high pattern showed: sensitivity = 0.65, specificity = 0.63, LR + =2.06, LR- = 0.48, DOR = 4.39, AUC = 0.7532 for POLE-mutant vs POLE-wild-type ECs; sensitivity = 0.85, specificity = 0.73, LR + =2.80, LR- = 0.22, DOR = 15.17 for POLE-mutant vs NSMP ECs; sensitivity = 0.85, specificity = 0.66, LR + =2.49, LR- = 0.25, DOR = 10.30 for POLE-mutant vs POLE-wild-type/MMR-proficient ECs; sensitivity = 0.68, specificity = 0.44, LR + =1.38, LR- = 0.64, DOR = 2.68, AUC = 0.6694 for POLE-mutant vs MMR-deficient ECs.

CONCLUSION

TIL-high pattern shows a moderate accuracy in distinguishing POLE-mutated from POLE-wild-type ECs after the exclusion of MMR-deficient cases. TIL might be considered in an integrate algorithm to identify POLE-mutated ECs when sequencing is unavailable. Further studies are necessary in this regard.

Accuracy of intra-operative frozen section in guiding surgical staging of endometrial cancer

PURPOSE

Surgery consists the main treatment of endometrial cancer; however, decision of lypmhadenectomy is controversial. Intra-operative frozen section (FS) is commonly used in guiding surgical staging; nevertheless, there are different reports regarding its adequacy and reliability. Aim of this study is to assess accuracy of FS in predicting paraffin section (PS) results in patients with endometrium cancer.

METHODS

Data of 223 cases, who were operated for endometrial cancer at a tertiary hospital in 2012-2019, were analyzed retrospectively. Histological type, grade, tumor diameter, depth of myometrial invasion, and cervical and adnexal involvement in frozen and paraffin section were evaluated. Positive and negative predictive values and accuracy of frozen results in predicting paraffin results for each parameter was assessed. Statistical significance was taken as 0.05 in all tests.

RESULTS

Accuracy of FS in predicting PS results were 76.23% for histology, 75.45% for grade, 85.31% for depth of myometrial invasion, and 95.45% for tumor diameter. Surgery, based on FS results, caused undertreatment in 4 patients, while metastatic lymph node ratios were found in only 35.3-50.0% of cases who had high risk parameters at FS.

CONCLUSION

Our FS results have reasonable accuracy rates in predicting PS results, in comparison with the previous literature. However, even if the high risk parameters detected in FS predict PS accurately, absence of lymph node involvement in all cases with high risk parameters indicates that FS-based triage cannot prevent unnecessary lymphadenectomies.

Importance of pre-operative ultrasound examination and pathological tumour evaluation in the management of women with endometrial cancer

INTRODUCTION

Endometrial cancer (EC) is the most common gynaecological malignancy in developed countries. Early and accurate diagnostic assessment is crucial for appropriate treatment planning. Information obtained by pre-operative imaging with transvaginal ultrasound (TVUS) and histological endometrial biopsy assessment is often the cornerstone for further management planning. This study aimed to analyse the accuracy of this diagnostic approach for patient management decisions.

MATERIALS AND METHODS

This single-centre retrospective analysis included all patients with endometrial cancer treated between 2015 and 2019. Pre-operative TVUS staging assessment and histopathological endometrial biopsy examination were compared with the final surgical stage and histopathological diagnosis.

RESULTS

Pre-operative and surgical pathological assessment of Type I and Type II tumours was in agreement in 95 % (174/184) and 54 % (12/22) of cases, respectively. The sensitivity and specificity of TVUS assessment of myometrial invasion were 76 % [95 % confidence interval (CI) 66.3-84.2 %] and 81.7 % [95 % CI 73.0-88.6 %], respectively. Diagnostic accuracy was higher for Type I EC (95 %) than Type II EC (54 %). Only presumed ESMO/ESGO/ESTRO risk classification (p < 0.000) and deep myometrial invasion (p < 0.000) were significant for the prediction of lymph node involvement.

CONCLUSION

Pre-operative TVUS examination and pathological endometrial biopsy evaluation enable moderately accurate assessment of the risk of EC. Efforts should be aimed towards the development of novel and more reproducible methods, such as molecular tumour characterization, to improve the pre-operative assessment of risk in patients with EC.

Clinico-pathological features associated with mismatch repair deficiency in endometrial undifferentiated/dedifferentiated carcinoma: A systematic review and meta-analysis

BACKGROUND

Endometrial undifferentiated/dedifferentiated carcinoma (UDC/DDC) is a recently described aggressive variant of endometrial carcinoma, which shows mismatch repair (MMR) deficiency in about half of cases.

AIM

To assess whether MMR-deficient UDC/DDC have distinct clinico-pathological features.

MATERIALS AND METHODS

A systematic review and meta-analysis was performed by searching 4 electronic databases from their inception to October 2020 for all studies reporting clinicopathological characteristics of UDC/DDC series. Student t-test (for continuous variables), Cox regression analysis (for overall survival) and odds ratio (OR, for dichotomous variables) were used with a significant p-value < 0.05; data were pooled by using a random effect model.

RESULTS

Twelve studies were included. MMR-deficiency was significantly associated with older age (p = 0.024), p53-wild-type (p = 0.005), ARID1A loss (p = 0.001) and PD-L1 expression (p = 0.019), but not with overall survival (p = 0.307), extension beyond corpus (p = 0.787) or beyond uterus (p = 0.403), presence of a differentiated component (p = 0.461), loss of expression of cytokeratins (p = 0.698), EMA (p = 0.309), estrogen receptor (p = 0.605), PAX8 (p = 0.959), SMARCA4/BRG1 (p = 0.321), SMARCB1/INI1 (p = 0.225) or claudin-4 (p = 0.094), or POLE exonuclease domain mutation p = (0.773).

CONCLUSIONS

In UDC/DDC, MMR-deficiency appears associated with older age, p53-wild type and ARID1A loss, suggesting the possibility of a distinct pathway underlying dedifferentiation; the association with PD-L1 expression is attributable to the high mutational load and may have therapeutic implications. On the other hand, MMR-deficiency appears not to be associated with prognosis, stage, loss of differentiation markers or POLE mutation.

FTO demethylates m6A modifications in HOXB13 mRNA and promotes endometrial cancer metastasis by activating the WNT signalling pathway

Although many studies have confirmed the relationship between obesity and endometrial cancer (EC), the molecular mechanism between obesity and EC progression has not been elucidated. Overexpression of fat mass and the obesity associated protein FTO leads to weight gain, although recently it has been discovered that FTO can serve as a demethylase which erases N6-methyladenosine (m6A) modification and regulates the metabolization of mRNAs. In this study, we found high expression of FTO in metastatic EC and that this action promote both metastasis and invasion in vivo and in vitro. Mechanistically, FTO can catalyse demethylation modification in 3'UTR region of HOXB13 mRNA, thereby abolishing m6A modification recognition with the YTHDF2 protein. Decreasing HOXB13 mRNA decay and increasing HOXB13 protein expression was accompanied by WNT signalling pathway activation and the expression of downstream proteins, leading to tumour metastasis and invasion. We also found the WNT signalling pathway inhibitor ICG-001 can block HOXB13 gene-induced tumour metastasis, therefore ICG-001 may be a promising molecular intervention. This study provides insight into the relationship between obesity and the pathogenesis of endometrial cancer while highlighting future areas of research.