Prognostic analysis for Chinese patients with stage I ovarian endometrioid carcinoma

Nomograms for predicting overall survival and cancer-specific survival of endometrioid ovarian carcinoma: A retrospective cohort study from the SEER database

OBJECTIVE

Endometrioid ovarian cancer (EnOC) accounts for approximately 10%-15% of epithelial ovarian cancer cases. There are no effective tools for predicting the prognosis of EnOC in clinical work. The aim of this study was to construct and validate a nomogram to predict overall survival and cancer-specific survival (CSS) in patients with EnOC.

METHODS

Data regarding patients diagnosed with primary EnOC between 2004 and 2019 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. LASSO Cox regression and Cox regression analyses were performed to screen for prognostic factors, which were used to construct nomograms. In addition, we performed subgroup analyses of the prognostic value of chemotherapy and lymph node surgery.

RESULTS

In total, 3957 patients with primary EnOC were included in the analysis: 2770 in a training cohort and 1187 in a validation cohort. Age, stage, grade, lymph node surgery, and race were significantly and independently correlated with overall survival and CSS. Nomograms were constructed to predict 3- and 5-year overall survival and CSS. Nomograms have good predictive ability and clinical practicability. Subgroup analysis showed that lymph node surgery improved the prognosis of patients with EnOC (P < 0.05) except for patients with grade III-IV and Stage I disease (overall survival P = 0.272, CSS P = 0.624). Chemotherapy did not improve survival time in most patients (P > 0.05) except for patients with grade I-II and Stage II-IV disease (overall survival P = 0.008, CSS P = 0.046).

CONCLUSION

We constructed predictive nomograms and a risk classification system to evaluate overall survival and CSS in EnOC patients. For most patients with EnOC, chemotherapy did not improve the prognosis. In contrast to chemotherapy, lymph node surgery improved prognosis in most patients with EnOC.

Outcomes after fertility-sparing surgery of early-stage ovarian cancer: A nationwide population-based study

BACKGROUND

Fertility-sparing surgery (FSS) is an alternative choice of young patients who have not completed their family planning and still have fertility needs. The aims of this study were to compare the outcomes of early-stage epithelial ovarian cancer (EOC) patients undergoing FSS and radical comprehensive staging surgery (RCS), and the suitability of FSS.

METHODS

A total of 1297 patients aged between 20 and 44 years with newly diagnosed early-stage EOC were recruited from the Taiwan Cancer Registry database between 2009 and 2017. Site-specific surgery codes were used to distinguish patients in FSS group or RCS group. Cancer-specific survival (CSS) was evaluated using Kaplan-Meier method with log-rank test and Cox regression model.

RESULTS

There were 401 and 896 patients in FSS and RCS group. Patients in FSS group were with younger age and mostly had Stage I disease. In contrast, patients in RCS group were older. There were more Stage II, high-grade (Grade 3) disease, and adjuvant chemotherapy in RCS group. Stage and tumor grade were two independent factors correlating with CSS and the type of surgery showed no effect on CSS (HR: 1.09, 95% CI: 0.66-1.77, p = 0.73) in multivariable analysis. In multivariable analysis, the clear cell carcinoma group who underwent FSS demonstrated better CSS compared to those in the RCS group (HR: 0.28, 95% CI: 0.06-0.82, p = 0.04). A total of 17 women who underwent FSS developed second malignancies of the uterine corpus or contralateral ovary.

CONCLUSION

FSS can be a safe alternative procedure in selected young patients of Stage I EOC who have fertility desire. Endometrial biopsy before or during FSS and regular surveillance to detect recurrence are mandatory for ovarian cancer patients undergoing FSS.

Construction and validation of prognostic nomogram and clinical characteristics for ovarian endometrioid carcinoma: an SEER-based cohort study

BACKGROUND

Ovarian endometrioid carcinoma (OEC) is the second most commonly occurring ovarian epithelial malignancy, but the associated prognostic factors remain obscure. This study aimed to analyze independent prognostic factors for patients with OEC and to develop and validate a nomogram to predict the overall survival (OS) of these patients.

METHODS

Clinical information of patients with OEC (2000-2019) was obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox analyses were used to identify independent prognostic factors, and nomogram models were constructed using independent prognostic factors. Receiver operating characteristic (ROC) curve, calibration plots, and decision curve analysis (DCA) were used to verify the accuracy and validity of the nomogram. Kaplan-Meier curves were used to compare the differences in OS and cancer-specific survival (CSS) among subgroups.

RESULTS

A total of 4628 patients with OEC were included, being divided into training (n = 3238) and validation (n = 1390) sets (7:3 ratio). On multivariate Cox analysis, AJCC stage, age, tumor size, differentiation, chemotherapy, and lymph node resection were significant predictors of survival outcomes (P < 0.05). Resection of 1-3 lymph nodes in early-stage OEC patients did not significantly prolong OS (P > 0.05), but resection of ≥ 4 lymph nodes in early-stage improved OS and CSS (P < 0.05). The OS of early-stage patients was not related to whether or not they received chemotherapy (P > 0.05). Lymph node resection and chemotherapy significantly improved the prognosis of patients with advanced OEC (P < 0.05). The c-index of nomogram prediction model was 0.782. ROC with good discrimination, calibration plots with high consistency, and DCA with large net benefit rate result in large clinical value.

CONCLUSION

AJCC stage, differentiation, tumor size, age, chemotherapy, and lymph node dissection were prognostic factors of OEC. The constructed nomogram prediction model can effectively predict the prognosis of OEC patients and improve the accuracy of clinical decision-making.

Influence of lymphadenectomy on survival and recurrence in patients with early-stage epithelial ovarian cancer: a meta-analysis

BACKGROUND

This meta-analysis aimed to evaluate the effectiveness of lymphadenectomy on survival and recurrence in patients with early-stage epithelial ovarian cancer (eEOC).

METHODS

Relevant studies were searched from four online databases. Hazard ratios (HRs) with 95% confidence intervals (CIs) or risk ratios (RRs) with 95% CIs were used to evaluate the effects of lymphadenectomy on overall survival (OS), progression-free survival (PFS), and recurrence rates. A subgroup analysis was performed to explore the sources of heterogeneity, followed by sensitivity and publication bias assessments.

RESULTS

Fourteen articles involving 22,178 subjects were included. Meta-analysis revealed that lymphadenectomy was significantly associated with improved OS (HR = 0.72; 95% CI:0.61, 0.84; P < 0.001), improved PFS (HR = 0.74; 95% CI: 0.67, 0.80; P < 0.001), and reduced recurrence rates (RR = 0.72; 95% CI: 0.60, 0.85; P < 0.001). Subgroup analysis showed that factors including area, histology, and source of the control group were significantly related to improved OS and PFS in patients with eEOC. Sensitivity analysis showed that the combined results were stable and reliable, and no significant publication bias was observed.

CONCLUSIONS

Patients with eEOC can benefit from lymphadenectomy, with improved survival outcomes (OS and PFS) and a lower recurrence rate.

An analysis of clinical characteristics and prognosis of endometrioid ovarian cancer based on the SEER database and two centers in China

PURPOSE

To assess the clinical characteristics and the risk factors related to the unfavorable prognosis of endometrioid ovarian carcinoma (EOVC) based on data from the Surveillance, Epidemiology, and End Results (SEER) database and two clinical centers in China.

METHODS

Data were extracted from the SEER database and two clinical centers in China (2010 ~ 2021), 884 cases and 87 patients with EOVC were selected, respectively. Overall survival (OS) and progression-free survival (PFS) were compared among the different groups using Kaplan-Meier analysis. The Cox proportional-hazards model was used to identify independent prognostic factors related to EOVC. A nomogram was constructed based on the risk factors of the SEER database affecting prognosis and the discrimination and calibration of the nomogram were evaluated by C-index and calibration curves.

RESULTS

The average age at diagnosis of patients with EOVC in the SEER database and two centers in China was 55.77 ± 12.40 years and 47.14 ± 11.50 years, 84.7% and 66.6% of them were diagnosed at FIGO stage I ~ II, respectively. In the SEER database, age over 70 years, advanced FIGO stage, tumor grade 3, only unilateral salpingo-oophorectomy were independent risk factors of unfavorable prognosis. In two clinical centers in China, 27.6% of EOVC patients were diagnosed with synchronous endometriosis. Advanced FIGO stage, HE4 > 179 pmol/L and bilateral ovarian involvement significantly correlated with poor OS and PFS in Kaplan-Meier analysis. Body mass index (BMI) < 19.34 kg/m² was an independent risk factor relating to OS and PFS. Additionally, C-index of internal and external verification for the nomogram were 0.812 and 0.754 respectively, revealing good accuracy and clinical applicability.

CONCLUSIONS

Most patients were diagnosed at early stage, low grade and had better prognosis. Asian/Pacific Islander and Chinese diagnosed with EOVC were more likely to be younger than whites and blacks. Age, tumor grade and FIGO stage (SEER database) and BMI (two centers) are independent prognostic factors. HE4 appears to be more valuable in prognostic assessment compared with CA125. The nomogram had good discrimination and calibration for predicting prognosis, providing a convenient and reliable tool for clinical decision-making for patients with EOVC.

A Review of the Clinical Characteristics and Novel Molecular Subtypes of Endometrioid Ovarian Cancer

Ovarian cancer is one of the most common gynecologic cancers that has the highest mortality rate. Endometrioid ovarian cancer, a distinct subtype of epithelial ovarian cancer, is associated with endometriosis and Lynch syndrome, and is often accompanied by synchronous endometrial carcinoma. In recent years, dysbiosis of the microbiota within the female reproductive tract has been suggested to be involved in the pathogenesis of endometrial cancer and ovarian cancer, with some specific pathogens exhibiting oncogenic having been found to contribute to cancer development. It has been shown that dysregulation of the microenvironment and accumulation of mutations are stimulatory factors in the progression of endometrioid ovarian carcinoma. This would be a potential therapeutic target in the future. Simultaneously, multiple studies have demonstrated the role of four molecular subtypes of endometrioid ovarian cancer, which are of particular importance in the prediction of prognosis. This literature review aims to compile the potential mechanisms of endometrioid ovarian cancer, molecular characteristics, and molecular pathological types that could potentially play a role in the prediction of prognosis, and the novel therapeutic strategies, providing some guidance for the stratified management of ovarian cancer.

The shifting landscape of genetic alterations separating endometriosis and ovarian endometrioid carcinoma

Ovarian cancer is one of the most common cancers worldwide, and is associated with a prior diagnosis of endometriosis in several cases. Our aim was to correlate genetic and methylation profile of ovarian endometrioid ovarian cancer and endometriosis patients. We evaluated the genetic profile of 50 ovarian endometriosis and 20 ovarian endometrioid carcinoma samples using next generation sequencing technology. In addition, the DNA methylation profile was evaluated for both cohorts of patients. We observed several mutated genes that were common for both types of patients, but we also identified mutated genes that were characteristic for each group: JAK3, KRAS and RB1 for endometriosis; and ATM, BRAF, CDH1, EGFR, NRAS, RET and SMO for ovarian endometrioid cancer. Also we idenfied genes that are highly methylated only in endometriosis samples (PYCARD, RARB, RB1, IL2, CFTR, CD44 and CDH13) and MLH3 gene was methylated only in endometrioid ovarian carcinoma samples. Also, BRCA1, CADM1, PAX6 and PAH genes are mainly methylated in endometrioid ovarian carcinoma patients. We identified a correlation for the cancer group between tumor stage, copy number aberrations and the presence of metastases; more specifically, the presence of BRCA1 pathogenic variants was correlated with tumor differentiation degree, TP53 variants and copy number aberrations. This study was able to demonstrate the presence of similar pathways being altered in both endometriosis and ovarian endometrioid carcinoma, which could mean that a diagnosis of endometriosis could be an early marker for cancer diagnosis. In addition, we showed that GATA2 hypomethylation, ATM hypermethylation, CREM hypomethylation, higher tumor differentiation degree or higher tumor stage is associated with a poor prognosis in patients with ovarian endometrioid carcinoma.

Does complete-staging lymphadenectomy improve survival outcomes in stage I endometrioid epithelial ovarian carcinoma? A multi-institutional retrospective study with propensity score-weighted analysis

BACKGROUND

We investigated the prognostic impact of complete-staging lymphadenectomy on patients with clinically apparent Stage I endometrioid epithelial ovarian carcinoma.

METHODS

We conducted a regional multi-institutional retrospective study between 1986 and 2018. Amongst 4897 patients with malignant ovarian tumours diagnosed under central pathological review, 259 women with Stage I endometrioid epithelial ovarian carcinoma were eligible. We evaluated differences in survival of patients with both pelvic and para-aortic lymphadenectomy (Group A) and those with only pelvic lymphadenectomy and/or clinical lymph node evaluation (Group B). To analyse the therapeutic effects, the baseline imbalance between patients with both pelvic and para-aortic lymphadenectomy and others was adjusted with an inverse probability of treatment weighting using propensity score involving independent clinical variables.

RESULTS

In total, 145 patients (56.0%) received both pelvic and para-aortic lymphadenectomy. With propensity score-based adjustment, estimated survival was better in Group A compared with that in Group B but not significant. Pelvic and para-aortic lymphadenectomy also led to no significant improvement of overall survival in most of the subgroups. However, point estimations of the hazard ratio for lymphadenectomy in patients with an age of 45 or younger (hazard ratio, 0.304; 95% confidence interval, 0.094-0.982), a Grade 1-2 (hazard ratio, 0.441; 95% confidence interval, 0.204-0.954) and T1c2-3 tumour (hazard ratio, 0.449; 95% confidence interval, 0.164-1.231) were better compared with those with the opposite characteristics.

CONCLUSIONS

Complete-staging lymphadenectomy was not a significant prognostic factor in patients with Stage I endometrioid epithelial ovarian carcinoma, where we still need to explore appropriate candidate for the procedure.