Nomograms for Prediction of Outcome With or Without Adjuvant Radiation Therapy for Patients With Endometrial Cancer: A Pooled Analysis of PORTEC-1 and PORTEC-2 Trials

Exploring the MAPPING application to facilitate risk communication and shared decision-making between physicians and patients with gynaecological cancer

This is an observational study in which we evaluated current levels of risk communication (RC) among gynaecological oncologists and their view on the Mapping All Patient Probabilities in Numerical Graphs (MAPPING) application as a possible tool to facilitate RC and shared decision-making (SDM). In part A, we audio-recorded 29 conversations between gynaecological oncologists and patients when discussing treatment options. In part B, interviews were performed with eight gynaecological oncologists.RC and SDM were measured using two observer-based measures, that is, the RC content (RCC) tool (scale 0-2) and the OPTION-5 instrument (scale 0-100). We used CollaboRATE questionnaire (scale 0-10) and a self-developed survey to assess patient-reported RC and SDM. In part B, we evaluated physicians' attitudes regarding the use of the MAPPING application to support RC. Patients were minimally involved in the decision-making process (OPTION-5 25.9%±13.4 RCC 0.21±0.18). Patient-reported SDM was high (mean collaboRATE score 9.19±1.79) and patients preferred receiving numeric information, whereas most physicians used qualitative risk terms rather than exact numbers. In part B, gynaecologists had a positive attitude towards the MAPPING application. However, they stated that the app was difficult to use improvement of layout and better implementations are needed.

Recurrence Risk Stratification for Women With FIGO Stage I Uterine Endometrioid Carcinoma Who Underwent Surgical Lymph Node Evaluation

OBJECTIVE

The aim of this study was to estimate the recurrence risk based on the number of prognostic factors for patients with stage I uterine endometrioid carcinoma (EC) who underwent surgical lymph node evaluation (SLNE) and were managed with observation.

METHODS

We queried our database for women with FIGO-2009 stage I EC who underwent surgical staging including SLNE. Multivariate analysis with stepwise model selection was used to determine independent risk factors for 5-year recurrence-free survival (RFS). Study groups based on risk factors were compared for RFS, disease-specific survival, and overall survival.

RESULTS

A total of 706 patients were identified: median age was 60 years (range, 30 to 93 y) and median follow-up was 120 months. Median number of examined lymph nodes was 8 (range, 1 to 66). 91% were stage IA, 75% had grade 1 and lymphovascular space invasion was detected in 6%. Independent predictors of 5-year RFS included age 60 years and above ( P =0.038), grade 2 ( P =0.003), and grade 3 ( P <0.001) versus grade 1. Five-year RFS for group 0 (age less than 60 y and grade 1) was 98% versus 92% for group 1 (either: age 60 y and older or grade 2/3) versus 84% for group 2 (both: age 60 y and above and grade 2/3), respectively ( P <0.001). Five-year disease-specific survival was 100% versus 98% versus 95%, ( P =0.012) and 5-year overall survival was 98% versus 90% versus 81%, for groups 0, 1, and 2, respectively ( P <0.001).

CONCLUSIONS

In patients with stage I EC who received SLNE and no adjuvant therapy, only age 60 years and above and high tumor grade were independent predictors of recurrence and can be used to quantify individualized recurrence risk, whereas lymphovascular space invasion was not an independent prognostic factor in this cohort.

A Nomogram for Predicting Progression-free Survival in Patients with Endometrial Cancer

AIMS

Endometrial cancer is one of the most widely known gynaecological malignancies that lacks a prognostic prediction model. This study aimed to develop a nomogram to predict progression-free survival (PFS) in patients with endometrial cancer.

MATERIALS AND METHODS

Information for endometrial cancer patients diagnosed and treated from 1 January 2005 to 30 June 2018 was collected. The Kaplan-Meier survival analysis and multivariate Cox regression analysis were carried out to determine the independent risk factors and a nomogram was constructed by R based on analytical factors. Internal and external validation were then carried out to predict the probability of 3- and 5-year PFS.

RESULTS

In total, 1020 patients with endometrial cancer were included in the study and the relationship between 25 factors and prognosis was analysed. Postmenopause (hazard ratio = 2.476, 95% confidence interval 1.023-5.994), lymph node metastasis (hazard ratio = 6.242, 95% confidence interval 2.815-13.843), lymphovascular space invasion (hazard ratio = 4.263, 95% confidence interval 1.802-10.087), histological type (hazard ratio = 2.713, 95% confidence interval 1.374-5.356), histological differentiation (hazard ratio = 2.601, 95% confidence interval 1.141-5.927) and parametrial involvement (hazard ratio = 3.596, 95% confidence interval 1.622-7.973) were found to be independent prognostic risk factors; these factors were selected to establish a nomogram. The consistency index for 3-year PFS were 0.88 (95% confidence interval 0.81-0.95) in the training cohort and 0.93 (95% confidence interval 0.87-0.99) in the verification set. The areas under the receiver operating characteristic curve for the 3- and 5-year PFS predictions are 0.891 and 0.842 in the training set; the same conclusion also appeared in the verification set [0.835 (3-year), 0.803(5-year)].

CONCLUSIONS

This study established a prognostic nomogram for endometrial cancer that provides a more individualised and accurate estimation of PFS for patients, which will help physicians make follow-up strategies and risk stratification.

Demographic Factors Predict Risk of Lymph Node Involvement in Patients with Endometrial Adenocarcinoma

The presence of lymph node positivity (LN+) guides adjuvant treatment for endometrial adenocarcinoma (EAC) patients, but recommendations regarding LN evaluation at the time of primary surgery remain variable. Sociodemographic factors in addition to pathologic tumor characteristics may more accurately predict risk of LN+ in EAC patients. Patients diagnosed between 2004 and 2016 with pathologic T1-T2 EAC who had at least one lymph node sampled at the time of surgery in the National Cancer Data Base were included. Pathologic primary tumor predictors of LN+ were identified using logistic regression. To predict overall, pelvic only, and paraaortic and/or pelvic LN+, nomograms were generated. Among the 35,170 EAC patients included, 2864 were node positive. Using multivariable analysis, younger patient age (OR 0.98, 95% CI 0.98-0.99, p < 0.001), black versus white race (OR 1.19, 95% CI 1.01-1.40, p = 0.04), increasing pathologic tumor stage and grade, increase in tumor size, and presence of lymphovascular invasion were predictive of regional LN+. Both black versus white (OR 1.64, 95% CI 1.27-2.09, p < 0.001) and other versus white race (OR 1.54, 95% CI 1.12-2.07, p = 0.006) strongly predicted paraaortic LN+ in the multivariable analysis. Independent subset analyses of black and white women revealed that tumor grade was a stronger predictor of LN+ among black women. In addition to standard pathologic tumor features, patient age and race were associated with a higher risk of regional LN+ generally and paraaortic LN+ specifically. This information may inform adjuvant treatment decisions and guide future studies.

Prediction of Distant Metastases After Stereotactic Body Radiation Therapy for Early Stage NSCLC: Development and External Validation of a Multi-Institutional Model

INTRODUCTION

Distant metastases (DMs) are the primary driver of mortality for patients with early stage NSCLC receiving stereotactic body radiation therapy (SBRT), yet patient-level risk is difficult to predict. We developed and validated a model to predict individualized risk of DM in this population.

METHODS

We used a multi-institutional database of 1280 patients with cT1-3N0M0 NSCLC treated with SBRT from 2006 to 2015 for model development and internal validation. A Fine and Gray (FG) regression model was built to predict 1-year DM risk and compared with a random survival forests model. The higher performing model was evaluated on an external data set of 130 patients from a separate institution. Discriminatory performance was evaluated using the time-dependent area under the curve (AUC). Calibration was assessed graphically and with Brier scores.

RESULTS

The FG model yielded an AUC of 0.71 (95% confidence interval [CI]: 0.57-0.86) compared with the AUC of random survival forest at 0.69 (95% CI: 0.63-0.85) in the internal test set and was selected for further testing. On external validation, the FG model yielded an AUC of 0.70 (95% CI: 0.57-0.83) with good calibration (Brier score: 0.08). The model identified a high-risk patient subgroup with greater 1-year DM rates in the internal test (20.0% [3 of 15] versus 2.9% [7 of 241], p = 0.001) and external validation (21.4% [3 of 15] versus 7.8% [9 of 116], p = 0.095). A model nomogram and online application was made available.

CONCLUSIONS

We developed and externally validated a practical model that predicts DM risk in patients with NSCLC receiving SBRT which may help select patients for systemic therapy.

GEC-ESTRO (ACROP)-ABS-CBG Consensus Brachytherapy Target Definition Guidelines for Recurrent Endometrial and Cervical Tumors in the Vagina

PURPOSE

Representatives from the Gynecologic Groupe European de Curietherapie-European Society for Radiation Therapy and Oncology (GYN GEC-ESTRO), the American Brachytherapy Society (ABS), and the Canadian Brachytherapy Group (CBG) met to develop international consensus recommendations for target definitions for image-guided adaptive brachytherapy for vaginal recurrences of endometrial or cervical cancer.

METHODS AND MATERIALS

Seventeen radiation oncologists and 2 medical physicists participated. Before an in-person meeting each participant anonymously contoured 3 recurrent endometrial/cervical cancer cases. Participants contoured the residual gross primary tumor volume (GTV-T_res), a high-risk clinical target volume (CTV-T_HR), and an intermediate-risk clinical target volume (CTV-T_IR), on T2-weighted magnetic resonance images (MRIs). All contours were drawn using Falcon EduCase. Contours were reviewed at an in-person meeting during which a consensus document was created defining agreed-upon target definitions (Trial 1). After establishing these definitions, the group was sent one of the cases again (recurrent cervical cancer vaginal recurrence) and asked to contour the targets again (Trial 2). The Computerized Environment for Radiation Research (CERR) software (The Mathworks, Natwick, MA) was used to analyze the contours. Kappa statistics were generated to assess level of agreement between contours. A conformity index (CI), defined as the ratio between the intersection and union volume of a given pair of contours, was calculated. A simultaneous truth and performance level estimation (STAPLE) contour was created for the CTV-T_HR and CTV-T_IR for the postmeeting case.

RESULTS

Consensus definitions for GTV-T_res, CTV-T_HR, and CTV-T_IR were established. Kappa statistics (Trial 1/Trial 2) for GTV-T_res, CTV-T_HR, and CTV-T_IR were 0.536/0.583, 0.575/0.743 and 0.522/0.707. Kappa statistics for Trial 2 for the CTV-T_HR and CTV-T_IR showed "substantial" agreement while the GTV-T_res remained at moderate agreement.

CONCLUSIONS

This consensus provides recommendations to facilitate future collaborations for MRI-guided adaptive brachytherapy target definitions in endometrial/cervical vaginal recurrences.

Prognostic Factors for Survival in Patients with Carcinoma Endometrium

Francis. V. JamesObjective  The study aimed to see the clinical outcome and to identify prognostic factors for survival in patients with carcinoma endometrium. Methods  Patients registered at Regional Cancer Centre, Thiruvananthapuram, Kerala, India, with carcinoma endometrium from January 2009 to December 2013 were identified from hospital registry. Data regarding patient demographics, tumor characteristics, treatment schedules, and follow-up were collected using a structured proforma. Survival estimates were generated using the Kaplan-Meier method. Univariate analysis was done using chi-square and Fisher's exact tests. Multivariate analysis using the Cox regression model was performed to determine the impact of prognostic factors on outcome. The statistical analysis was done using SPSS software version 11. Results  The median follow-up of the 686 patients was 95 months (range 3-178 months).There were 432 stage 1 (63%), 100 stage II (14.6%), 108 stage III (15.7%), and 46 stage IV patients (6.7%). The 5-year overall survival was 89.2%. Prognostic factors for survival on univariate analysis were age 60 years or older, nonendometrioid histology, high-grade tumor, cervical stromal involvement, para-aortic node involvement, negative progesterone receptor expression, deep myometrial invasion advanced stage, surgery versus no surgery, serosal involvement, and ovarian and fallopian tube involvement. However, on multivariate analysis, age over 60 years, higher histological grade, advanced stage, and deep myometrial and parametrial invasion were associated with significantly poorer survival. Conclusion  We found that age over 60 years at presentation, higher grade, advanced stage, deep myometrial invasion, and parametrial invasion were associated with poorer survival.

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.

Integration of Genomic and Clinical Retrospective Data to Predict Endometrioid Endometrial Cancer Recurrence

Endometrial cancer (EC) incidence and mortality continues to rise. Molecular profiling of EC promises improvement of risk assessment and treatment selection. However, we still lack robust and accurate models to predict those at risk of failing treatment. The objective of this pilot study is to create models with clinical and genomic data that will discriminate patients with EC at risk of disease recurrence. We performed a pilot, retrospective, case−control study evaluating patients with EC, endometrioid type: 7 with recurrence of disease (cases), and 55 without (controls). RNA was extracted from frozen specimens and sequenced (RNAseq). Genomic features from RNAseq included transcriptome expression, genomic, and structural variation. Feature selection for variable reduction was performed with univariate ANOVA with cross-validation. Selected variables, informative for EC recurrence, were introduced in multivariate lasso regression models. Validation of models was performed in machine-learning platforms (ML) and independent datasets (TCGA). The best performing prediction models (out of >170) contained the same lncRNA features (AUC of 0.9, and 95% CI: 0.75, 1.0). Models were validated with excellent performance in ML platforms and good performance in an independent dataset. Prediction models of EC recurrence containing lncRNA features have better performance than models with clinical data alone.

Open Source Repository and Online Calculator of Prediction Models for Diagnosis and Prognosis in Oncology

(1) Background: The main aim was to develop a prototype application that would serve as an open-source repository for a curated subset of predictive and prognostic models regarding oncology, and provide a user-friendly interface for the included models to allow online calculation. The focus of the application is on providing physicians and health professionals with patient-specific information regarding treatment plans, survival rates, and side effects for different expected treatments. (2) Methods: The primarily used models were the ones developed by our research group in the past. This selection was completed by a number of models, addressing the same cancer types but focusing on other outcomes that were selected based on a literature search in PubMed and Medline databases. All selected models were publicly available and had been validated TRIPOD (Transparent Reporting of studies on prediction models for Individual Prognosis Or Diagnosis) type 3 or 2b. (3) Results: The open source repository currently incorporates 18 models from different research groups, evaluated on datasets from different countries. Model types included logistic regression, Cox regression, and recursive partition analysis (decision trees). (4) Conclusions: An application was developed to enable physicians to complement their clinical judgment with user-friendly patient-specific predictions using models that have received internal/external validation. Additionally, this platform enables researchers to display their work, enhancing the use and exposure of their models.

Automated causal inference in application to randomized controlled clinical trials

Randomized controlled trials (RCTs) are considered the gold standard for testing causal hypotheses in the clinical domain; however, the investigation of prognostic variables of patient outcome in a hypothesized cause–effect route is not feasible using standard statistical methods. Here we propose a new automated causal inference method (AutoCI) built on the invariant causal prediction (ICP) framework for the causal reinterpretation of clinical trial data. Compared with existing methods, we show that the proposed AutoCI allows one to clearly determine the causal variables of two real-world RCTs of patients with endometrial cancer with mature outcome and extensive clinicopathological and molecular data. This is achieved via suppressing the causal probability of non-causal variables by a wide margin. In ablation studies, we further demonstrate that the assignment of causal probabilities by AutoCI remains consistent in the presence of confounders. In conclusion, these results confirm the robustness and feasibility of AutoCI for future applications in real-world clinical analysis.

Impact of external beam pelvic radiotherapy of endometrial carcinoma: A focus on chronic digestive toxicity

PURPOSE

The standard treatment for endometrial cancer is surgery, although depending on the risk factors, adjuvant radiation therapy may also be given. It is proposed for high-risk carcinomas for which an improvement in progression-free survival though not overall survival has been shown. However, despite the development of radiotherapy treatments with intensity modulation and image guidance, adjuvant radiation therapy remains toxic to the digestive system. We aimed to investigate the incidence of digestive toxicity and the presence of any predictive factors.

MATERIALS AND METHODS

Data were retrospectively collected from patients treated with adjuvant radiotherapy for endometrial carcinoma at the Institut de cancérologie de Lorraine and centre hospitalier Émile-Durkheim between January 2010 and October 2016 and analyzed to identify factors associated with chronic digestive toxicity.

RESULTS

One hundred and thirty-nine patients received a total dose of 50Gy fractionated into 25 sessions, five per week for five weeks. The median follow-up after irradiation completion was 38 months. The incidence of gastrointestinal and rectal toxicity in all patients treated with pelvic irradiation for endometrial carcinoma was 11.1% (95% confidence interval [95%CI]: 5.4-19%) for grade 3-4 and 25.6% (95%CI: 17.0-34.9%) for grade 2-4. No factor was found to be significantly predictive of chronic digestive toxicity. At five years, the overall survival was 74.3%, (95%CI: 65.3-81.4%), progression-free survival was 69.6% (95%CI: 60.1-77.3%) and incidence of pelvic recurrence was 7.9% (95%CI: 3.8-13.9%).

CONCLUSION

Our results confirmed that pelvic radiotherapy can induce a relatively high rate of digestive toxicity but failed to identify relevant factors able to predict it.

Quantification of recurrence risk based on number of adverse prognostic factors in women with stage I uterine endometrioid carcinoma

Objective

The goal was to develop an updated model to predict the risk of recurrence, based on the number of adverse pathologic features in women with International Federation of Gynecology and Obstetrics stage I uterine endometrioid carcinoma, who did not undergo any adjuvant treatment.

Material and Methods

Women at a single center who underwent surgical staging without adjuvant therapy between January 1990 and December 2019 were included. Cox proportional hazards model was used to identify independent predictors of relapse free survival (RFS). Prognostic groups were then created based on the number of independent predictors of recurrence that were identified (0, 1, or 2-3 risk factors). Overall survival (OS) and disease specific survival (DSS) were also calculated for each group.

Results

In total 1133 women were eligible for inclusion. Median follow-up was 84 months. Independent prognostic factors of recurrence included: age ≥60; grade 2 or 3 differentiation; and presence of lymphovascular space invasion (LVSI). Due to the small number of patients with either 2 or 3 risk factors, these groups were combined into one (group 2/3). Isolated vaginal cuff recurrence was the most common site of recurrence in all study groups (2%, 7%, and 17% for groups 0, 1, and 2/3, respectively). Five-year RFS rates were 96%, 85%, and 57% for groups 0, 1, and 2/3 (p<0.01), respectively. Five-year DSS rates were 99%, 96%, and 85% and 5-year OS rates were 94%, 85%, and 62% (p<0.01), respectively.

Conclusion

We identified older age, high grade, and presence of LVSI as independent predictors of recurrence for women with stage I uterine endometrioid carcinoma. Using these prognostic factors, recurrence risk can be quantified for individual patients, and these factors can be used in deciding the appropriate adjuvant management course.

A phase III randomized clinical trial comparing sentinel node biopsy with no retroperitoneal node dissection in apparent early-stage endometrial cancer - ENDO-3: ANZGOG trial 1911/2020

BACKGROUND

Sentinel node biopsy is a surgical technique to explore lymph nodes for surgical staging of endometrial cancer, which has replaced full retroperitoneal lymph node dissection. However, the effectiveness of sentinel node biopsy, its value to patients, and potential harms compared with no-node dissection have never been shown in a randomized trial.

PRIMARY OBJECTIVES

Stage 1 will test recovery from surgery. Stage 2 will compare disease-free survival at 4.5 years between patients randomized to sentinel node biopsy versus no retroperitoneal node dissection.

STUDY HYPOTHESIS

The primary hypothesis for stage 1 is that treatment with sentinel node biopsy will not cause detriment to patient outcomes (lymphedema, morbidity, loss of quality of life) and will not increase treatment-related morbidity or health services costs compared with patients treated without a retroperitoneal node dissection at 12 months after surgery. The primary hypothesis for stage 2 is that disease-free survival at 4.5 years after surgery in patients without retroperitoneal node dissection is not inferior to those receiving sentinel node biopsy.

TRIAL DESIGN

This phase III, open-label, two-arm, multistage, randomized non-inferiority trial (ENDO-3) will determine the value of sentinel node biopsy for surgical management of endometrial cancer. Patients with endometrial cancer are randomized to receive: (1) laparoscopic/robotic hysterectomy, bilateral salpingo-oophorectomy with sentinel node biopsy or (2) laparoscopic/robotic hysterectomy, bilateral salpingo-oophorectomy without retroperitoneal node dissection. In stage 1, 444 patients will be enrolled to demonstrate feasibility and quality of life. If this is demonstrated, we will enroll another 316 patients in stage 2.

MAJOR INCLUSION AND EXCLUSION CRITERIA

Inclusion criteria include women aged 18 years or older with histologically confirmed endometrial cancer; clinical stage 1, who meet the criteria for laparoscopic or robotic total hysterectomy and bilateral salpingo-oophorectomy. Patients with uterine mesenchymal tumors are excluded.

PRIMARY ENDPOINTS

The endpoint for stage 1 is surgical recovery, with the proportion of patients returning to usual daily activities at 3 months post-surgery as measured with the EQ-5D. Stage 2 is disease-free survival at 4.5 years.

SAMPLE SIZE

760 participants (both stages).

ESTIMATED DATES FOR COMPLETING ACCRUAL AND PRESENTING RESULTS

Stage 1 commenced in January 2021 and is planned to be completed in December 2024 when 444 participants have completed 12 months' follow-up. Stage 2 will enroll a further 316 participants for a total of 760 patients.

TRIAL REGISTRATION

NCT04073706.

Artificial intelligence for clinical oncology

Clinical oncology is experiencing rapid growth in data that are collected to enhance cancer care. With recent advances in the field of artificial intelligence (AI), there is now a computational basis to integrate and synthesize this growing body of multi-dimensional data, deduce patterns, and predict outcomes to improve shared patient and clinician decision making. While there is high potential, significant challenges remain. In this perspective, we propose a pathway of clinical cancer care touchpoints for narrow-task AI applications and review a selection of applications. We describe the challenges faced in the clinical translation of AI and propose solutions. We also suggest paths forward in weaving AI into individualized patient care, with an emphasis on clinical validity, utility, and usability. By illuminating these issues in the context of current AI applications for clinical oncology, we hope to help advance meaningful investigations that will ultimately translate to real-world clinical use.

Competing risk nomogram predicting cancer-specific mortality for endometrial cancer patients treated with hysterectomy

BACKGROUND

The incidence of endometrial cancer has tended to increase in recent years. However, competing risk nomogram combining comprehensive factors for endometrial cancer patients treated with hysterectomy is still scarce. Therefore, we aimed to build a competing risk nomogram predicting cancer-specific mortality for endometrial cancer patients treated with hysterectomy.

METHODS

Patients diagnosed with endometrial cancer between 2010 and 2012 were abstracted from the Surveillance, Epidemiology, and End Results (SEER) database. Competing risk model was performed to select prognostic variables to build the competing risk nomogram to predict the cumulative 3- and 5-year incidences of endometrial cancer-specific mortality. Harrell's C-index, receiver operating characteristic (ROC) curve, and calibration plot were used in the internal validation. And decision curve analysis was applied to evaluate clinical utility.

RESULTS

A total of 10,447 patients were selected for analysis. The competing risk nomogram identified eight prognostic variables, including age at diagnosis, race, marital status at diagnosis, grade, histology, tumor size, FIGO stage, and number of regional nodes positive. The C-index of the competing risk nomogram was 0.857 (95% confidence interval [CI]: 0.854-0.859), and the calibration plots were adequately fitted. When the threshold probabilities were between 1% and 57% for 3-year prediction and between 2% and 67% for 5-year prediction, the competing risk nomogram was of good clinical utility.

CONCLUSIONS

A competing risk nomogram for endometrial cancer patients treated with hysterectomy was successfully built and internally validated. It was an accurately predicted and clinical useful tool, which could play an important role in consulting and health care management of endometrial cancer patients.

Impact of uterine manipulator on oncological outcome in endometrial cancer surgery

BACKGROUND

There are limited data available to indicate whether oncological outcomes might be influenced by the uterine manipulator, which is used at the time of hysterectomy for minimally invasive surgery in patients with endometrial cancer. The current evidence derives from retrospective studies with limited sample sizes. Without substantial evidence to support its use, surgeons are required to make decisions about its use based only on their personal choice and surgical experience.

OBJECTIVE

To evaluate the use of the uterine manipulator on oncological outcomes after minimally invasive surgery, for apparent early-stage endometrial cancer.

STUDY DESIGN

We performed a retrospective multicentric study to assess the oncological safety of uterine manipulator use in patients with apparent early-stage endometrial cancer, treated with minimally invasive surgery. The type of manipulator, surgical staging, histology, lymphovascular space invasion, International Federation of Gynecology and Obstetrics stage, adjuvant treatment, recurrence, and pattern of recurrence were evaluated. The primary objective was to determine the relapse rate. The secondary objective was to determine recurrence-free survival, overall survival, and the pattern of recurrence.

RESULTS

A total of 2661 women from 15 centers were included; 1756 patients underwent hysterectomy with a uterine manipulator and 905 without it. Both groups were balanced with respect to histology, tumor grade, myometrial invasion, International Federation of Gynecology and Obstetrics stage, and adjuvant therapy. The rate of recurrence was 11.69% in the uterine manipulator group and 7.4% in the no-manipulator group (P<.001). The use of the uterine manipulator was associated with a higher risk of recurrence (hazard ratio, 2.31; 95% confidence interval, 1.27-4.20; P=.006). The use of uterine manipulator in uterus-confined endometrial cancer (International Federation of Gynecology and Obstetrics [FIGO] I-II) was associated with lower disease-free survival (hazard ratio, 1.74; 95% confidence interval, 0.57-0.97; P=.027) and higher risk of death (hazard ratio, 1.74; 95% confidence interval, 1.07-2.83; P=.026). No differences were found regarding the pattern of recurrence between both groups (chi-square statistic, 1.74; P=.63).

CONCLUSION

In this study, the use of a uterine manipulator was associated with a worse oncological outcome in patients with uterus-confined endometrial cancer (International Federation of Gynecology and Obstetrics I-II) who underwent minimally invasive surgery. Prospective trials are essential to confirm these results.

Prognostic Integrated Image-Based Immune and Molecular Profiling in Early-Stage Endometrial Cancer

Optimum risk stratification in early-stage endometrial cancer combines clinicopathologic factors and the molecular endometrial cancer classification defined by The Cancer Genome Atlas (TCGA). It is unclear whether analysis of intratumoral immune infiltrate improves this. We developed a machine-learning, image-based algorithm to quantify density of CD8+ and CD103+ immune cells in tumor epithelium and stroma in 695 stage I endometrioid endometrial cancers from the PORTEC-1 and -2 trials. The relationship between immune cell density and clinicopathologic/molecular factors was analyzed by hierarchical clustering and multiple regression. The prognostic value of immune infiltrate by cell type and location was analyzed by univariable and multivariable Cox regression, incorporating the molecular endometrial cancer classification. Tumor-infiltrating immune cell density varied substantially between cases, and more modestly by immune cell type and location. Clustering revealed three groups with high, intermediate, and low densities, with highly significant variation in the proportion of molecular endometrial cancer subgroups between them. Univariable analysis revealed intraepithelial CD8+ cell density as the strongest predictor of endometrial cancer recurrence; multivariable analysis confirmed this was independent of pathologic factors and molecular subgroup. Exploratory analysis suggested this association was not uniform across molecular subgroups, but greatest in tumors with mutant p53 and absent in DNA mismatch repair-deficient cancers. Thus, this work identified that quantification of intraepithelial CD8+ cells improved upon the prognostic utility of the molecular endometrial cancer classification in early-stage endometrial cancer.

Novel preoperative predictive score to evaluate lymphovascular space involvement in endometrial cancer: an aid to the sentinel lymph node algorithm

INTRODUCTION

Sentinel lymph node (SLN) dissection has been recognized as a valid tool for staging in patients with endometrial cancer. Several factors are predictors of recurrence and survival in endometrial cancer, including positive lymphovascular space invasion. The aim of this study is to formulate a pre-operative score that, in the event of no-SLN identification, may give an estimate of the true probability of lymphovascular space invasion and guide management.

METHODOLOGY

This was a multi-institutional retrospective study conducted from January 2007 to December 2017. We included all patients with any grade endometrial tumor with a complete pathological description of the surgical specimen and with a minimum follow-up of 12 months. All patients underwent a class A hysterectomy according to Querleu and Morrow and bilateral salpingo-oophorectomy. Lymphadenectomy was performed based on patient risk of node metastases. In order to verify the predictive capacity of the parameters associated with lymphovascular space invasion status, grading, abnormal CA125 (>35 units/ml), myometrial invasion, and tumor size, a synthetic score was calculated. The score was introduced in the receiver operating characteristic curve model in which the binary classifier was represented by the lymphovascular space invasion status. The ideal cut-off was calculated with the determination of the Youden index. Sensitivity and negative predictive value of lymphovascular space invasion score was calculated in patients with lymph node metastasis.

RESULTS

Six hundred and fourteen patients were included in the study. The average age and BMI of patients were 64.8 (range 33-88) years and 30.1 (range 17-64) respectively. Of the 284 patients who underwent lymphadenectomy, 231 (81.3%) patients had no lymph node metastases, 33 (11.6%) patients had metastatic pelvic lymph nodes, 12 (4.2%) patients had metastatic aortic lymph nodes, and eight (2.8%) patients had both pelvic and aortic metastatic lymph nodes. Lymphovascular space invasion was associated with deep myometrial infiltration (P<0.001), G3 grading (P<0.001), tumor size ≥25 mm (P=0.012), abnormal CA125 (P<0.001), recurrence (P<0.001), overall survival (P<0.001), and disease-free survival (P<0.01). Of all patients with lymphovascular space invasion, 79% had an lymphovascular space invasion score ≥5. The score ranged from a minimum score of 1 to a maximum of 7. The score shows 78.9% sensitivity (95% CI 0.6971 to 0.8594), 65.3% specificity (95% CI 0.611 to 0.693), 29.4% positive predictive value (95% CI 0.241 to 0.353), and 94.4% negative predictive value (95% CI 0.916 to 0.964).

CONCLUSION

We found that when lymphovascular space invasion score ≤4, there is a very low possibility of finding lymph nodal involvement. The preoperative lymphovascular space invasion score could complement the SLN algorithm to avoid unnecessary lymphadenectomies.

Ten years of experience with endometrial cancer treatment in a single Brazilian institution: Patient characteristics and outcomes

Few reports have described the clinical and prognostic characteristics of endometrial cancer, which is increasing worldwide, in large patient series in Brazil. Our objective was to analyze the clinicopathological characteristics, prognostic factors, and outcomes of patients with endometrial cancer treated and followed at a tertiary Brazilian institution over a 10-year period.This retrospective study included 703 patients diagnosed with endometrial cancer who were treated at a public academic tertiary hospital between 2008 and 2018. The following parameters were analyzed: age at diagnosis, race, body mass index, serum CA125 level before treatment; histological type and grade, and surgical stage. Outcomes were reported relative to histological type, surgical staging, serum CA125, lymph-vascular space involvement (LVSI), and lymph-node metastasis.

The median patient age at diagnosis was 63 (range, 27–93) years (6.4% were <50 years). Minimally invasive surgeries were performed in 523 patients (74.4%). Regarding histological grade, 468 patients (66.5%) had low-grade endometrioid histology and 449 patients (63.9%) had stage I tumors. Tumors exceeded 2.0 cm in 601 patients (85.5%). Lymphadenectomy was performed in 551 cases (78.4%). LVSI was present in 208 of the patients’ tumors (29.5%). Ninety-three patients (13.2%) had recurrent tumors and 97 (13.7%) died from their malignant disease. The robust prognostic value of FIGO stage and lymph node status were confirmed. Other important survival predictors were histological grade and LVSI [overall survival: hazard ratio (HR) = 3.75, p < 0.001 and HR = 2.01, p = 0.001; recurrence: HR = 2.49, p = 0.004 and HR = 3.22, p = 0.001, respectively). Disease-free (p = 0.087) and overall survival (p = 0.368) did not differ significantly between patients with stage II and III disease. These results indicate that prognostic role of cervical involvement should be explored further. This study reports the characteristics and outcomes of endometrial cancer in a large population from a single institution, with systematic surgical staging, a predominance of minimally invasive procedures, and well-documented outcomes. Prognostic factors in the present study population were generally similar to those in other countries, though our patients’ tumors were larger than in studies elsewhere due to later diagnosis. Our unexpected finding of similar prognoses of stage II and III patients raises questions about the prognostic value of cervical involvement and possible differences between carcinomas originating in the lower uterine segment versus those originating in the body and fundus. The present findings can be used to guide public policies aimed at improving the diagnosis and treatment of endometrial cancer in Brazil and other similar countries.

A proposal for a new classification of "unfavorable risk criteria" in patients with stage I endometrial cancer

BACKGROUND

Randomized trials describe differing sets of high-intermediate risk criteria.

OBJECTIVE

To use the National Cancer Database to compare the impact of radiation therapy in patients with stage I endometrial cancer meeting different criteria, and define a classification of "unfavorable risk."

METHODS

Patients with stage I endometrial cancer between January 2010 and December 2014 were identified in the National Cancer Database and stratified into two cohorts: (1) patients meeting Gynecologic Oncology Group (GOG)-99 criteria only for high-intermediate risk, but not Post-Operative Radiation Therapy in Endometrial Carcinoma (PORTEC)-1 criteria and (2) those meeting PORTEC-1 criteria only. High-risk stage I patients with both FIGO stage IB (under FIGO 2009 staging) and grade 3 disease were excluded. In each cohort, propensity score-matched survival analyses were performed. Based on these analyses, we propose a new classification of unfavorable risk. We then analyzed the association of adjuvant radiation with survival, stratified by this classification.

RESULTS

We identified 117,272 patients with stage I endometrial cancer. Of these, 11,207 patients met GOG-99 criteria only and 5,920 patients met PORTEC-1 criteria only. After propensity score matching, adjuvant radiation therapy improved survival (HR=0.73; 95% CI 0.60 to 0.89; p=0.002) in the GOG-99 only cohort. However, there was no benefit of adjuvant radiation (HR=0.89; 95% CI 0.69 to 1.14; p=0.355) in the PORTEC-1 only cohort. We, therefore, defined unfavorable risk stage I endometrial cancer as two or more of the following risk factors: lymphovascular invasion, age ≥70, grade 2-3 disease, and FIGO stage IB. Adjuvant radiation improved survival in stage I patients with adverse risk factors (HR=0.74; 95% CI 0.68 to 0.80; p<0.001), but not in other stage I patients (HR=1.02; 95% CI 0.91 to 1.15; p=0.710; p interaction <0.001).

CONCLUSION

Our study showed that adjuvant radiation was associated with an overall survival benefit in patients meeting GOG-99 criteria only; however, no survival benefit was seen in patients meeting PORTEC-1 criteria only. We propose a definition of unfavorable risk stage I endometrial cancer: ≥2 risk factors from among lymphovascular invasion, age ≥70, grade 2-3 disease, and FIGO stage IB disease.

[S3 guidelines on the diagnosis and treatment of carcinoma of the endometrium : Requirements for pathology]

The present article summarises the relevant aspects of the S3 guidelines on endometrioid carcinomas. The recommendations include the processing rules of fractional currettings as well as for hysterectomy specimens and lymph node resections (including sentinel lymph nodes). Besides practical aspects, the guidelines consider the needs of the clinicians for appropriate surgical and radiotherapeutic treatment of the patients. Carcinosarcomas are assigned to the endometrial carcinoma as a special variant. For the first time, an algorithmic approach for evaluation of the tumour tissue for Lynch syndrome is given. Prognostic factors based on morphologic findings are summarised.

Predicting prognosis of endometrioid endometrial adenocarcinoma on the basis of gene expression and clinical features using Random Forest

Traditional clinical features are not sufficient to accurately judge the prognosis of endometrioid endometrial adenocarcinoma (EEA). Molecular biological characteristics and traditional clinical features are particularly important in the prognosis of EEA. The aim of the present study was to establish a predictive model that considers genes and clinical features for the prognosis of EEA. The clinical and RNA sequencing expression data of EEA were derived from samples from The Cancer Genome Atlas (TCGA) and Peking University People's Hospital (PKUPH; Beijing, China). Samples from TCGA were used as the training set, and samples from the PKUPH were used as the testing set. Variable selection using Random Forests (VSURF) was used to select the genes and clinical features on the basis of TCGA samples. The RF classification method was used to establish the prediction model. Kaplan-Meier curves were tested with the log-rank test. The results from this study demonstrated that on the basis of TCGA samples, 11 genes and the grade were selected as the input features. In the training set, the out-of-bag (OOB) error of RF model-1, which was established using the '11 genes', was 0.15; the OOB error of RF model-2, which was established using the 'grade', was 0.39; and the OOB error of RF model-3, established using the '11 genes and grade', was 0.15. In the testing set, the classification accuracy of RF model-1, model-2 and model-3 was 71.43, 66.67 and 80.95%, respectively. In conclusion, to the best of our knowledge, the VSURF was used to select features relevant to EEA prognosis, and an EEA predictive model combining genes and traditional features was established for the first time in the present study. The prediction accuracy of the RF model on the basis of the 11 genes and grade was markedly higher than that of the RF models established by either the 11 genes or grade alone.

An integrated prediction model of recurrence in endometrial endometrioid cancers

Objectives: Endometrial cancer incidence and mortality are rising in the US. Disease recurrence has been shown to have a significant impact on mortality. However, to date, there are no accurate and validated prediction models that would discriminate which individual patients are likely to recur. Reliably predicting recurrence would be of benefit for treatment decisions following surgery. We present an integrated model constructed with comprehensive clinical, pathological and molecular features designed to discriminate risk of recurrence for patients with endometrioid endometrial adenocarcinoma. Subjects and methods: A cohort of endometrioid endometrial cancer patients treated at our institution was assembled. Clinical characteristics were extracted from patient charts. Primary tumors from these patients were obtained and total tissue RNA extracted for RNA sequencing. A prediction model was designed containing both clinical characteristics and molecular profiling of the tumors. The same analysis was carried out with data derived from The Cancer Genome Atlas for replication and external validation. Results: Prediction models derived from our institutional data predicted recurrence with high accuracy as evidenced by areas under the curve approaching 1. Similar trends were observed in the analysis of TCGA data. Further, a scoring system for risk of recurrence was devised that showed specificities as high as 81% and negative predictive value as high as 90%. Lastly, we identify specific molecular characteristics of patient tumors that may contribute to the process of disease recurrence. Conclusion: By constructing a comprehensive model, we are able to reliably predict recurrence in endometrioid endometrial cancer. We devised a clinically useful scoring system and thresholds to discriminate risk of recurrence. Finally, the data presented here open a window to understanding the mechanisms of recurrence in endometrial cancer.

Systematic lymphadenectomy for intermediate risk endometrial carcinoma treatment does not improve the oncological outcome

Objective

To evaluate the indication and performance of systematic lymphadenectomy (SL) in Stage I endometrioid endometrial carcinoma (EEC), at intermediate risk (FIGO IAG2/G3, IBG1/G2) on recurrence, disease-free survival (DFS) and survival.

Study design

194 women underwent hysterectomies by laparotomy, with SL (n = 95) or without SL (n = 99) between 1990 and 2014 was evaluated. Diagnosis period, age, BMI, comorbidities, stage, and adjuvant radiotherapy were analyzed. DFS and cancer-specific survival were analyzed by Kaplan-Meier and log-rank test, and recurrences by Cox regression.

Results

SL was performed in 93% (41/44) of women managed before 1998 and decreasing after that (p < 0.001). SL was also more frequent if BMI under 35.0 kg/m² (p < 0.001) and in women without comorbidities (p = 0.017). Distribution of age, stage and postoperative radiotherapy were not different between groups. There were 14 recurrences (7.4%), concentrated in the SL group (12 cases) and associated with Stage IAG3 (35.7%, p = 0.009). Longitudinal evaluation exhibited 95% of 5-year cancer-specific survival rate for non-SL group vs. 88% for the SL group (p = 0.039), and DFS rate was 97% for the non-SL group vs. 85% for the SL group (p = 0.004). Cox regression analyses exhibited Stage IAG3 (HR 6.48, IC95% 1.88–22.39; p = 0.003) associated with less DFS.

Conclusion

SL in surgical staging of EEC at intermediate risk presented no benefits regarding recurrences, DFS, and cancer-specific survival rate when compared to patients not submitted to complete surgical staging. Stage IAG3 had poor prognosis regardless treatment modality. Our results provide further evidence to support the current trend to avoid SL in the surgical approach to selected women.

A Prediction Model for Preoperative Risk Assessment in Endometrial Cancer Utilizing Clinical and Molecular Variables

The utility of comprehensive surgical staging in patients with low risk disease has been questioned. Thus, a reliable means of determining risk would be quite useful. The aim of our study was to create the best performing prediction model to classify endometrioid endometrial cancer (EEC) patients into low or high risk using a combination of molecular and clinical-pathological variables. We then validated these models with publicly available datasets. Analyses between low and high risk EEC were performed using clinical and pathological data, gene and miRNA expression data, gene copy number variation and somatic mutation data. Variables were selected to be included in the prediction model of risk using cross-validation analysis; prediction models were then constructed using these variables. Model performance was assessed by area under the curve (AUC). Prediction models were validated using appropriate datasets in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A prediction model with only clinical variables performed at 88%. Integrating clinical and molecular data improved prediction performance up to 97%. The best prediction models included clinical, miRNA expression and/or somatic mutation data, and stratified pre-operative risk in EEC patients. Integrating molecular and clinical data improved the performance of prediction models to over 95%, resulting in potentially useful clinical tests.

A tumor board report of an 83-year-old woman with stage IB grade 3 endometrioid endometrial adenocarcinoma

An 83-year-old woman presented with postmenopausal bleeding ultimately leading to surgery and a final diagnosis of stage IB grade 3 endometrioid endometrial adenocarcinoma. The tumor board reviewed current literature regarding the efficacy of sentinel lymph node dissection in appropriately allocating stage in high-grade endometrial cancer. The optimal role of adjuvant treatment in this setting is unclear. Current literature surrounding adjuvant radiation and chemotherapy, as well as current practices in molecular diagnostics for endometrial cancer were reviewed. The tumor board concluded that literature surrounding sentinel lymph node evaluation in high-grade endometrial cancers is robust enough to incorporate into clinical practice. Based on the best available evidence, a decision was made to treat with external beam radiotherapy and withhold chemotherapy.

Impact of adjuvant treatment on outcome in high-risk early-stage endometrial cancer: a retrospective three-center study

OBJECTIVE

High grade and non-endometrioid endometrial cancers carry a poor prognosis, and the lack of randomized prospective data has led to a wide range of practice regarding adjuvant therapy. The objective of this study was to evaluate the outcomes of different treatment strategies in patients with high-risk, early-stage endometrial cancer.

METHODS

Patients with high-grade endometrioid, serous endometrial cancer and carcinosarcoma diagnosed between 2000 and 2012 were identified from databases in three gynecologic oncology divisions, in Toronto and in Israel. Adjuvant treatment practices differed across the centers, creating a heterogeneous cohort. A comparison of stage I patients stratified by adjuvant treatment was undertaken. Log-rank tests and Cox proportional hazards models were employed to compare recurrence and survival across treatment groups.

RESULTS

490patients with high risk endometrial cancer were identified, among them 213 patients with stage I disease. Israeli patients received more chemotherapy (41% vs 10% in stage I disease; P<0.001) than patients in Toronto. Chemotherapy was not associated with improved disease-free, disease-specific or overall survival, nor was it associated with fewer distant recurrences (50% vs 54%). Radiation was also not associated with improved recurrence or survival, nor did it affect the pattern of recurrence. On Cox multivariable analysis, neither radiation treatment nor chemotherapy were significantly associated with outcome (HR for recurrence, 0.72 for pelvic radiation (P=0.46) and 1.99 for chemotherapy (P=0.09); HR for death, 0.67 for pelvic radiation (P=0.29) and 1.03 for chemotherapy (P=0.94)).

CONCLUSIONS

In this retrospective analysis, neither adjuvant radiation nor chemotherapy were associated with improved outcome in stage I, high risk endometrial cancer.

A Simplified Risk Stratification Method for Women With Stage I Endometrial Carcinoma

OBJECTIVES

Available risk stratification methods for women with endometrial carcinoma are controversially defined. We sought to develop a simplified and an individualized prognostic index for cancer recurrence in women with International Federation of Gynecology and Obstetrics (FIGO) stage I endometrial carcinoma, solely of endometrioid histology.

MATERIALS AND METHODS

We identified 976 women who underwent a hysterectomy and did not receive any adjuvant therapy. Cox proportional hazards model was used to identify independent predictors of recurrence. Prognostic groups were created based on the number of independent predictors of recurrence (0, 1, or 2 or 3 risk factors). These groups were then validated using a separate cohort of 611 women treated at another academic institution. The model's performance for predicting cancer recurrence was measured by the concordance probability estimate along with a 95% confidence interval.

RESULTS

Median follow-up was 65 months. The final recurrence model included 3 risk groups based on 3 independent predictors of recurrence (tumor grade 2 or 3, the presence of lymphovascular space invasion and stage IB). Five-year recurrence rates were 4%, 16%, and 44% for groups 0, 1, and 2 or 3, respectively. The performance of the model was very good with a concordance probability estimate of 0.72 and 0.80 for the development and validation cohorts, respectively.

CONCLUSIONS

On the basis of 3 well-known prognostic factors, we have developed and externally validated a simplified prognostic model that accurately predicts cancer recurrence in women with stage I endometrial carcinoma. This simplified predictive tool may be helpful in estimating individualized risk of recurrence and guide counseling with regard to adjuvant treatment.

Prognostic Significance of Lymphovascular Space Invasion in the Absence of Lymph Node Metastases in Early-Stage Endometrial Cancer

OBJECTIVE

Lymphovascular space invasion (LVSI) has been defined as a significant adverse prognostic factor in early-stage endometrial cancer, primarily because of its high association with nodal metastases. This study aimed to determine if LVSI provides any prognostic significance in pathologic node-negative surgically staged (T1N0) endometrial cancer patients.

METHODS/MATERIALS

This retrospective cohort study included all patients with pathologic stage T1N0 endometrial carcinoma treated at The Ottawa Hospital Cancer Centre from 1998 to 2007. Patient demographics, pathologic findings, treatment, and outcome data were collected. Univariate and multivariate cox regression modeling was used to assess significance and adjust for demographic and histopathologic covariates. Kaplan-Meier curves were used to estimate the 5-year overall and recurrence-free survival.

RESULTS

Our study included 400 pathologic stage T1N0 patients who received an initial total hysterectomy and bilateral salpingo-oophorectomy with lymphadenectomy. The median age at diagnosis was 62 years, and the median follow-up was 66 months. Fifty-four patients (13.5%) had a positive LVSI status, and 346 (86.5%) had a negative LVSI status. The 5-year overall survival was 97.3% in patients without LVSI and 90.9% in those with LVSI (P < 0.001). The 5-year recurrence-free survival was 95.2% in patients without LVSI and 85.9% in those with LVSI (P = 0.006). Univariate analysis identified grade, stage, and LVSI as the covariates significantly associated with time to recurrence, and identified age, grade, stage, and LVSI to be significantly associated with overall survival. There were no significant covariates for recurrence-free survival by multivariate analysis, and only age and LVSI were significant for overall survival.

CONCLUSIONS

Lymphovascular space invasion is an overall poor prognostic factor in T1N0 endometrial cancer. After adjusting for other factors, LVSI remains an independent risk factor for worse overall survival. Therefore, estimation of overall survival in patients with early-stage, node-negative endometrial cancer should take into account LVSI status.

Compliance with adjuvant treatment guidelines in endometrial cancer: room for improvement in high risk patients

OBJECTIVES

Compliance of physicians with guidelines has emerged as an important indicator for quality of care. We evaluated compliance of physicians with adjuvant therapy guidelines for endometrial cancer patients in the Netherlands in a population-based cohort over a period of 10years.

METHODS

Data from all patients diagnosed with endometrial cancer between 2005 and 2014, without residual tumor after surgical treatment, were extracted from the Netherlands Cancer Registry (N=14,564). FIGO stage, grade, tumor type and age were used to stratify patients into risk groups. Possible changes in compliance over time and impact of compliance on survival were assessed.

RESULTS

Patients were stratified into low/low-intermediate (52%), high-intermediate (21%) and high (20%) risk groups. Overall compliance with adjuvant therapy guidelines was 85%. Compliance was highest in patients with low/low-intermediate risk (98%, no adjuvant therapy indicated). The lowest compliance was determined in patients with high risk (61%, external beam radiotherapy with/without chemotherapy indicated). Within this group compliance decreased from 64% in 2005-2009 to 57% in 2010-2014. In high risk patients with FIGO stage III serous disease compliance was 55% (chemotherapy with/without radiotherapy indicated) and increased from 41% in 2005-2009 to 66% in 2010-2014.

CONCLUSION

While compliance of physicians with adjuvant therapy guidelines is excellent in patients with low and low-intermediate risk, there is room for improvement in high risk endometrial cancer patients. Eagerly awaited results of ongoing randomized clinical trials may provide more definitive guidance regarding adjuvant therapy for high risk endometrial cancer patients.

Surgery for Recurrent Uterine Cancer: Surgical Outcomes and Implications for Survival—A Case Series

Objective

The purpose of this study was to describe the patterns of relapse in uterine cancer (UC) and the role of surgery in the recurrent setting.

Methods

We describe surgical and clinical outcomes of all patients who underwent surgery for recurrent UC in a gynecological oncology tertiary referral center between May 1, 2013, and April 30, 2016. Progression-free survival and overall survival were estimated using Kaplan-Meier methods with the surgery at relapse being the starting point.

Results

We evaluated 15 patients with a median age of 66 years. The predominant histology was the endometrioid variant (n = 11; 73.3%). The median interval between the end of previous treatment and relapse surgery was 24 months (range, 8–164). Locoregional pelvic recurrences were the most common type of recurrence (n = 13; 86.7%) with the para-aortic lymph node space being the most commonly affected extrapelvic site (13%). Patients predominantly presented with a multifocal pattern of relapse (n = 10; 66.7%) requiring multivisceral resections such as bowel (n = 7; 46.6%) and/or bladder/ureteric resections (n = 8; 53.3%) to achieve complete tumor clearance. All patients were operated tumor free with a 30-day major morbidity and mortality rate of 6.7% and 0%, respectively. Five patients (33.3%) received postoperative chemotherapy or radiotherapy. Five patients (33.3%) relapsed, and 3 died within a mean follow-up of 12.4 months (95% confidence interval [CI], 6.5–18.2). Two of those patients had a sarcoma.

Mean progression-free survival and overall survival for the entire cohort postrelapse surgery was 21.7 months (95%CI, 13.9–29.5) and 26.0 months (95%CI, 18.4–33.7), respectively. Survival was significantly worse in patients with nonendometrioid histology (P < 0.0001).

Conclusions

Surgery for UC relapse seems feasible with acceptable morbidity and high complete resection rates despite the multifocal patterns of relapse in a selected group of patients in a reference center for gynecological cancers. Larger scale studies are warranted to establish the value of surgery at relapse for UC.

American Brachytherapy Task Group Report: Adjuvant vaginal brachytherapy for early-stage endometrial cancer: A comprehensive review

This article aims to review the risk stratification of endometrial cancer, treatment rationale, outcomes, treatment planning, and treatment recommendations of vaginal brachytherapy (VBT) in the postoperative management of endometrial cancer patients. The authors performed a thorough review of the literature and reference pertinent articles pertaining to the aims of this review. Adjuvant VBT for early-stage endometrial cancer patients results in very low rates of vaginal recurrence (0-3.1%) with low rates of late toxicity which are primarily vaginal in nature. Post-Operative Radiation Therapy in Endometrial Cancer 2 (PORTEC-2) supports that VBT results in noninferior rates of vaginal recurrence compared to external beam radiotherapy for the treatment of high-intermediate risk patients. VBT as a boost after external beam radiotherapy, in combination with chemotherapy, and for high-risk histologies have shown excellent results as well though randomized data do not exist supporting VBT boost. There are many different applicators, dose-fractionation schedules, and treatment planning techniques which all result in favorable clinical outcomes and low rates of toxicity. Recommendations have been published by the American Brachytherapy Society and the American Society of Radiation Oncology to help guide practitioners in the use of VBT. Data support that patients and physicians prefer joint decision making regarding the use of VBT, and patients often desire additional treatment for a marginal benefit in risk of recurrence. Discussions regarding adjuvant therapy for endometrial cancer are best performed in a multidisciplinary setting, and patients should be counseled properly regarding the risks and benefits of adjuvant therapy.

Clinical outcomes of stage I endometrial carcinoma patients treated with surgery alone: Siriraj Hospital experiences

Objective

To evaluate the recurrence rates and patterns of failure in patients with stage I endometrial carcinoma after surgical staging without adjuvant therapy.

Methods

Medical records of 229 patients with stage I endometrial carcinoma, treated with surgery alone between 2002 and 2010 at Siriraj Hospital were retrospectively reviewed. The primary objective of this study was recurrence rates. The secondary objectives were patterns of failure, disease-free survival, overall survival, and prognostic factors related to outcomes.

Results

During median follow-up time of 53.3 months, 11 recurrences (4.8%) occurred with a median time to recurrence of 21.2 months (range, 7.7 to 77.8 months). Vaginal recurrence was the most common pattern of failure (8/11 patients, 72.7%). Other recurrences were pelvic, abdominal and multiple metastases. Factors that appeared to be prognostic factors on univariate analyses were age and having high intermediate risk (HIR) (Gynecologic Oncology Group [GOG] 99 criteria), none of which showed significance in multivariate analysis. The recurrence rates were higher in the patients with HIR criteria (22.2% vs. 4.1%, p=0.013) or patients with stage IB, grade 2 endometrioid carcinoma (9.4% vs. 4.3%, p=0.199). Five-year disease-free survival and 5-year overall survival were 93.9% (95% CI, 89.9 to 5.86) and 99.5% (95% CI, 97.0 to 99.9), respectively.

Conclusion

The patients with low risk stage I endometrial carcinoma had excellent outcomes with surgery alone. Our study showed that no single factor was demonstrated to be an independent predictor for recurrence.

Ixabepilone for the treatment of endometrial cancer

INTRODUCTION

Endometrial cancer (EC) is the most common gynaecological cancer. Despite significant progress in the multimodality treatment approach, the prognosis remains poor for patients with advanced disease. Thus, there is the necessity of more effective strategies. The microtubule-stabilizing agent ixabepilone is the first drug in this new class of agents that has been approved for metastatic breast cancer treatment. Based on empiric data and on the clinical efficacy demonstrated in breast cancer, several clinical trials were proposed to define its role in EC. The aim of this review is to determine whether ixabepilone improved the clinical outcome in patients with locally advanced, recurrent or metastatic EC.

AREAS COVERED

Preclinical and clinical studies of ixabepilone in endometrial cancer were analyzed and discussed. Data were obtained by searching for English peer-reviewed articles on PubMed, phase I and II studies registered on clincaltrials.gov, and related abstracts recently presented at major international congresses.

EXPERT OPINION

Advanced or recurrent EC still represents a challenge and an unmet need in the panorama of gynaecological malignancies. Ixabepilone's future therapeutic role in EC remains ill defined. Nevertheless, despite its limited efficacy in EC, clinicians treating gynaecological tumours should be aware of its main aspects.

[Early-stage endometrial cancer: Sentinel node or lymphadenectomy?]

The endometrial cancers are mainly discovered at an early stage justifying a less aggressive treatment. The therapeutic choices are today based on preoperative classifications themselves based on histo-prognostic factors of the tumor and its extension measured in MRI: consequently, lymph node dissection in case of low and intermediate risk cancer is not systematically achieved. But a number of patients have lymph node involvement finally, probably justifying an adapted surgical and adjuvant treatment. The technique of sentinel node would compensate the weaknesses of preoperative prognostic evaluation. This new operative technique needs to be precised and evaluated: the topics subject to discussion are the technical implementation, the definition of its quality standards and the management of its histological results especially in cases of low volume lymph node metastasis.

Portfolio of prospective clinical trials including brachytherapy: an analysis of the ClinicalTrials.gov database

Background

To evaluate the current status of prospective interventional clinical trials that includes brachytherapy (BT) procedures.

Methods

The records of 175,538 (100 %) clinical trials registered at ClinicalTrials.gov were downloaded on September 2014 and a database was established. Trials using BT as an intervention were identified for further analyses. The selected trials were manually categorized according to indication(s), BT source, applied dose rate, primary sponsor type, location, protocol initiator and funding source. We analyzed trials across 8 available trial protocol elements registered within the database.

Results

In total 245 clinical trials were identified, 147 with BT as primary investigated treatment modality and 98 that included BT as an optional treatment component or as part of the standard treatment. Academic centers were the most frequent protocol initiators in trials where BT was the primary investigational treatment modality (p < 0.01). High dose rate (HDR) BT was the most frequently investigated type of BT dose rate (46.3 %) followed by low dose rate (LDR) (42.0 %). Prostate was the most frequently investigated tumor entity in trials with BT as the primary treatment modality (40.1 %) followed by breast cancer (17.0 %). BT was rarely the primary investigated treatment modality for cervical cancer (6.8 %).

Conclusion

Most clinical trials using BT are predominantly in early phases, investigator-initiated and with low accrual numbers. Current investigational activities that include BT mainly focus on prostate and breast cancers. Important questions concerning the optimal usage of BT will not be answered in the near future.

Electronic supplementary material

The online version of this article (doi:10.1186/s13014-016-0624-8) contains supplementary material, which is available to authorized users.

Endometrial cancer

Endometrial cancer is the most common gynaecological tumour in developed countries, and its incidence is increasing. The most frequently occurring histological subtype is endometrioid adenocarcinoma. Patients are often diagnosed when the disease is still confined to the uterus. Standard treatment consists of primary hysterectomy and bilateral salpingo-oophorectomy, often using minimally invasive approaches (laparoscopic or robotic). Lymph node surgical strategy is contingent on histological factors (subtype, tumour grade, involvement of lymphovascular space), disease stage (including myometrial invasion), patients' characteristics (age and comorbidities), and national and international guidelines. Adjuvant treatment is tailored according to histology and stage. Various classifications are used to assess the risks of recurrence and to determine optimum postoperative management. 5 year overall survival ranges from 74% to 91% in patients without metastatic disease. Trials are ongoing in patients at high risk of recurrence (including chemotherapy, chemoradiation therapy, and molecular targeted therapies) to assess the modalities that best balance optimisation of survival with the lowest adverse effects on quality of life.

Recurrences and toxicity after adjuvant vaginal brachytherapy in Stage I-II endometrial cancer: A monoinstitutional experience

PURPOSE

To evaluate the incidences of vaginal recurrence and toxicity after vaginal brachytherapy in Stage I-II endometrial cancer.

METHODS AND MATERIALS

Between 2003 and 2012, 150 high-intermediate-risk Stage I and 7 Stage II patients, median age 64 years, underwent surgery, with or without lymphadenectomy, and 3D brachytherapy: 7 Gy, at 5 mm depth from applicator surface, for 3-week fractions. The effects of age, grading, number of excised lymph nodes and pathologic stage on loco-regional relapse (LRR), metastases, and tumor-related death were investigated. Vaginal toxicity was evaluated during followup visits.

RESULTS

At 83 months of median followup, 144 patients were disease free, 2 in relapse, 7 deceased from disease, and 4 from other causes. One vaginal (0.6%), five nodal (3.2%), three pelvic over the vaginal cuff (1.9%), and one distant recurrences were seen (0.6%). The 5-year probability of LRR-free, distant metastasis-free and cause-specific survivals for all patients were 93.6% (95% confidence interval [CI]: 88.1-96.7), 97.8% (95% CI: 93.2-99.3), and 96.5% (95% CI: 93.5-99.5) and for Stage I 95.7% (95% CI: 92.2-9.1), 99.3% (95% CI: 98.0-100), and 97.7% (95% CI: 95.2-100), respectively. At multivariate analysis, Stage II disease and more than 12 lymph nodes sampled were associated with LRR (hazard ratio [HR]: 3.88; 95% CI: 1.390-10.878; p = 0.010 and HR: 6.952; 95% CI: 1.591-30.385; p = 0.010) and Stage II with metastasis and tumor-related death (HR: 23.057; 95% CI: 2.296-231.485; p = 0.008 and HR: 4.324; 95% CI: 1.223-15.290; p = 0.023). Vaginal acute and chronic toxicity was 16% and 55.4%, respectively, all only Grades 1-2.

CONCLUSIONS

For high-to-intermediate-risk Stage I endometrial cancer, 3D vaginal brachytherapy achieved good local control and low toxicity. In Stage II, patients brachytherapy could be administered after complete surgical staging.

Embryologically based radical hysterectomy as peritoneal mesometrial resection (PMMR) with pelvic and para-aortic lymphadenectomy for loco-regional tumor control in endometrial cancer: first evidence for efficacy

Objective

To evaluate the feasibility and efficacy of embryologically based compartmental surgery for locoregional tumor control in intermediate and high risk endometrial cancer: peritoneal mesometrial resection with therapeutic pelvic and para-aortic lymphadenectomy by robotically assisted laparoscopy.

Methods

75 consecutive surgically treated patients with uterine malignancies have been analyzed. 68 patients with histologically proven endometrial cancer and complete robotically assisted surgery have been included in this study on morbidity and oncological outcome. 56 % of the patients were at intermediate/high risk with either stage IAG3 or IB (n = 22) or stage II–IV (n = 16). Adjuvant EBRT was offered to three patients only (4 %), whereas five received isolated vaginal brachytherapy (7 %). Indocyanine-green (ICG) fluorescence lymphography is demonstrated being useful for additional intraoperative visualization of the compartment borders and lymphatic drainage to the postponed lymph compartments.

Results

After a mean follow-up of 32 months, there were only two loco-regional recurrences (2.9 %). Both recurrences were apparently cured by salvage therapy. 9 patients died; 6 (8.8 %) from metastatic disease (5) or unknown cause (1), 3 (4.4 %) from intercurrent disease without evidence of disease. One patient (1.4 %) experienced a peritoneal carcinosis and is alive. There were 8/68 perioperative complications (12 %). No perioperative mortality was observed.

Conclusions

Embryologically defined compartmental surgery by robotically assisted laparoscopy seems to be feasible and safe in endometrial cancer. The low loco-regional recurrence rate of 2.9 % in spite of a very low percentage of adjuvant radiotherapy and 56 % of intermediate/high risk tumors should stimulate to initiate a multicentre trial to evaluate the value of compartmental surgery for prevention of locoregional recurrence in endometrial cancer.

Predictive Modeling: A New Paradigm for Managing Endometrial Cancer

With the abundance of new options in diagnostic and treatment modalities, a shift in the medical decision process for endometrial cancer (EC) has been observed. The emergence of individualized medicine and the increasing complexity of available medical data has lead to the development of several prediction models. In EC, those clinical models (algorithms, nomograms, and risk scoring systems) have been reported, especially for stratifying and subgrouping patients, with various unanswered questions regarding such things as the optimal surgical staging for lymph node metastasis as well as the assessment of recurrence and survival outcomes. In this review, we highlight existing prognostic and predictive models in EC, with a specific focus on their clinical applicability. We also discuss the methodologic aspects of the development of such predictive models and the steps that are required to integrate these tools into clinical decision making. In the future, the emerging field of molecular or biochemical markers research may substantially improve predictive and treatment approaches.