Prognostic factors for tumor recurrence in endometrioid endometrial cancer stages IA and IB

Preoperative cancer antigen-125 levels as a predictor of recurrence in early-stage endometrial cancer

OBJECTIVE

Endometrial cancer is the most common gynecological cancer in developed countries, with a majority of cases being low-grade endometrioid endometrial cancer. Identifying risk factors for disease recurrence and poor prognosis is critical. This study aimed to assess the correlation between preoperative cancer antigen-125 levels and disease recurrence in early-stage endometrioid endometrial cancer patients.

METHODS

The study was a retrospective analysis of 217 patients diagnosed with endometrioid endometrial cancer who underwent surgical treatment at a university-affiliated tertiary hospital between 2016 and 2022. Patients were divided into two groups based on their preoperative cancer antigen-125 levels and compared with clinicopathological findings and disease recurrence. Disease-free survival rates were calculated, and logistic regression analysis was performed to determine independent factors affecting disease-free survival.

RESULTS

The mean age of patients was 61.59±0.75 years, and the mean follow-up time was 36.95±1.18 months. The mean cancer antigen-125 level was 27.80±37.81 IU/mL. The recurrence rate was significantly higher in the group with elevated cancer antigen-125 levels (p=0.025). Disease-free survival was lower in patients with elevated cancer antigen-125 compared with those with normal levels (p=0.005). Logistic regression analysis revealed that elevated cancer antigen-125 levels were associated with disease recurrence (OR: 3.43, 95%CI 1.13-10.37, p=0.029).

CONCLUSION

The findings of this study suggest that preoperative cancer antigen-125 levels can be used as a predictor of disease recurrence in early-stage endometrioid endometrial cancer patients. cancer antigen-125 levels may be a useful tool for risk stratification and patient management in endometrial cancer.

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.

The Potential Value of Ki-67 in Prognostic Classification in Early Low-Risk Endometrial Cancer

PURPOSE

This study aims to determine the optimal cut-off value of Ki-67 to better predict the recurrence of early low-risk endometrial cancer (EC).

METHODS

Seven hundred and forty-eight patients diagnosed with low-risk EC from West China Second Hospital of Sichuan University and the First Affiliated Hospital of Chongqing Medical University were retrospectively analyzed. The receiver operating characteristic curve (ROC) and Youden index were used to calculate the optimal cut-off value of Ki-67 expression. The clinicopathological indexes between two groups divided by cut-off value of Ki-67 were compared. The univariate and multivariate regression analyses were performed to investigate risk factors connected to the recurrence of early low-risk EC. The survival analysis was shown in Kaplan-Meier curve.

RESULT

Thirty-three patients were detected with tumor recurrence after primary surgery (4.4%); 33% was the optimal cut-off value of the Ki-67 index. A high Ki-67 was significantly associated with age (P = .002), myometrial invasion (P < .001), and the expression of P53 (P = .007). The multivariate regression analysis verified that Ki67 ≥ 33% was an independent prognostic factor for predicting recurrence. The recurrence-free survival (RFS) and the overall survival (OS) in high Ki-67 group was significantly lower than that in low Ki-67 group (P < .001 and P = .029, respectively). The prognostic values of ER, PR, and P53 in combination with Ki-67 were superior to each single predictor.

CONCLUSIONS

The optimal cut-off value of Ki-67 for predicting recurrence is 33%, which quantitatively defines the specific value of Ki-67 that causes high-risk recurrence in early low-risk EC.

Estrogen Receptor- And Progesterone Receptor-Positive Thresholds in Predicting the Recurrence of Early Low-Risk Endometrial Cancer

Background

Estrogen receptors (ER) and progesterone receptors (PR) have important prognostic value in endometrial cancer, but there is no recognized positive immunohistochemical threshold for predicting the recurrence of early low-risk endometrial cancer. The purpose of this study was to clarify the optimal positive thresholds of the immunohistochemical parameters the ER and PR in early low-risk endometrial cancer.

Methods

A total of 332 patients with stage IA endometrial cancer were enrolled from the First Affiliated Hospital of Chongqing Medical University and People's Hospital of Sha ping ba District in Chongqing between January 2013 and December 2018. First, univariate and multivariate Cox regression analyses were used to analyze the correlation between various clinical factors and the prognosis of early low-risk endometrial cancer. Then, the receiver operating characteristic curve (ROC curve) and Youden index were used to determine the positive thresholds of ER and PR.

Results

The positive thresholds of ER and PR for predicting the recurrence of early low-risk endometrial cancer were 12% and 8%, respectively. Multivariate analysis showed that ER (P = 0.004), PR (P = 0.026), and p53 (P = 0.021) were risk factors for the prognosis of patients with early low-risk endometrial cancer. The recurrence-free survival and the overall survival in the low ER group and PR group were much lower than those in the high ER group and PR group (P < 0.001 of all).

Conclusions

ER and PR positive thresholds of 12% and 8%, respectively, are the most suitable for predicting the recurrence of early low-risk endometrial cancer.

Association of Tumor Size With Myometrial Invasion, Lymphovascular Space Invasion, Lymph Node Metastasis, and Recurrence in Endometrial Cancer: A Meta-Analysis of 40 Studies With 53,276 Patients

Background

Myometrial invasion (MI), lymphovascular space invasion (LVSI), and lymph node metastasis (LNM) have been found to have independent prognostic factors in endometrial cancer. Tumor size has practical advantages in endometrial cancer. The cutoff values for tumor size conformed with current literature. More and more studies inferred that tumor size >20 mm showed a strong correlation. However, the relationship between tumor size >20 mm and MI, LVSI, LNM, recurrence, and overall survival (OS) remains controversial, and no meta-analysis has been conducted. Therefore, a systematic review and meta-analysis should be performed to discuss this issue later on.

Methods

Relevant articles were collected from PubMed, EMBASE, and Cochrane Library databases from January 1990 to June 2021. The predictive value of tumor size >20 mm in endometrial cancer was studied, and data were pooled for meta-analysis using Review Manager 5.1. Additionally, the odds ratio (OR) was analyzed, and cumulative analyses of hazard ratio (HR) and their corresponding 95% CI were conducted.

Results

A total of 40 articles with 53,276 endometrial cancer patients were included in the meta-analysis. It contained 7 articles for MI, 6 for LVSI, 21 for LNM, 7 for recurrence, and 3 for OS. Primary tumor size >20 mm was significantly associated with depth of MI (OR = 5.59, 95% CI [5.02, 6.23], p < 0.001), positive LVSI (OR = 3.35, 95% CI [2.34, 4.78], p < 0.001), positive LNM (OR = 4.11, 95% CI [3.63, 4.66], p < 0.001), and recurrence (OR = 3.52, 95% CI [2.39, 5.19], p < 0.001). Tumor size >20 mm was also related to OS via meta-synthesis of HR in univariate survival (HR 2.13, 95% CI [1.28, 3.53], p = 0.003). There was no significant publication bias in this study by funnel plot analysis.

Conclusion

Primary tumor size >20 mm was an independent predictive factor for the depth of MI, positive LVSI, positive LNM, recurrence, and poor OS. Therefore, it is more important to take into account the value of tumor size in the clinicopathological staging of endometrial carcinoma. Tumor size >20 mm should be integrated into the intraoperative algorithm for performing a full surgical staging. Well-designed and multicenter studies, with a larger sample size, are still required to verify the findings.

Risk Factors and Prognosis of Early Recurrence in Stage I–II Endometrial Cancer: A Large-Scale, Multi-Center, and Retrospective Study

Objective

The aim of the present study was to determine overall survival (OS) and risk factors associated with early recurrence in patients with FIGO I–II stage endometrial carcinoma (EC).

Methods

Clinical features were retrospectively extracted from the database of China Endometrial Cancer Consortium from January 2000 to December 2019. A total of 2,974 patients with Federation International of Gynecology and Obstetrics (FIGO) I–II stage endometrial cancer were included. Kaplan-Meier survival analysis was used to assess OS and disease-specific survival. Cox proportional hazard model and Fine-Gray model were used to determine the factors related to OS. Binary logistic regression model was used to determine independent predictors of early relapse patients.

Results

Of these 2,974 ECs, 189 patients were confirmed to have relapse. The 5-year OS was significantly different between the recurrence and non-recurrence patients (p &lt; 0.001). Three quarters of the relapse patients were reported in 36 months. The 5-year OS for early recurrence patients was shorter than late recurrence [relapse beyond 36 months, p &lt; 0.001]. The grade 3 [odds ratio (OR) = 1.55, 95%CI 1.17–2.05, p = 0.002], lymphatic vascular infiltration (LVSI; OR = 3.36; 95%CI 1.50–7.54, p = 0.003), and myometrial infiltration (OR = 2.07, 95%CI 1.17—3.65, p = 0.012) were independent risk factors of early relapse. The protective factor of that is progesterone receptor (PR)-positive (OR = 0.50, 95%CI 0.27–0.92, p = 0.02). Bilateral ovariectomy could reduce recurrence risk rate (OR = 0.26, 95%CI 0.14–0.51, p &lt; 0.001).

Conclusion

The OS of early relapse EC is worse. Grade 3, LVSI, and myometrial infiltration are independent risk factors for early relapse EC. In addition, the protective factor is PR-positive for those people and bilateral salpingo-oophorectomy could reduce the risk of recurrence.

Development and Validation of a Novel Prognostic Model for Endometrial Cancer Based on Clinical Characteristics

Objective

Existing prognostic models for endometrial cancer are short of facility and effective validation. In this study, we aim to develop and validate a novel prognostic model for endometrial cancer based on clinical characteristics.

Methods

The clinical data such as age, BMI (body mass index), FIGO stage, surgical approach, myometrial invasion, grade, lymph node metastasis, pathology and menopause status were collected for constructing and validating the prognostic model from The Cancer Genome Atlas (TCGA) and Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, respectively. COX regression and the least absolute shrinkage and selection operator (LASSO) COX were applied to identify the significant predictors of overall survival (OS) and construct the prognostic model. The discrimination, calibration, and clinical usefulness of the model were evaluated in both cohorts.

Results

Three hundred and sixty-seven and 286 EC patients were collected for training and validation cohort, respectively. A clinical prognostic model integrating six clinical variables including age, BMI, FIGO stage, surgical approach, myometrial invasion and grade was established. K-M analysis shows a significant difference between the low- and high-risk groups. The area under the receiver operating characteristic curve (AUC-ROC) was 0.775 (95% CI, 0.708 to 0.843) and 0.870 (95% CI, 0.758 to 0.982) for the training and validation cohorts which indicating reliable discrimination. The calibration curve revealed excellent predictive accuracy and the Hosmer–Lemeshow test also verified this. Decision curve analysis (DCA) for the prognostic model indicated that it would add more benefits than either the detect-all-patients scheme or the detect-none scheme. In addition, our model has a superior AUC comparing with any single factor as predicting OS.

Conclusion

Our predictive model offers a convenient and accurate tool for clinicians to estimate the prognosis of EC patients.

Endometrial Adenocarcinomas With No Specific Molecular Profile: Morphologic Features and Molecular Alterations of "Copy-number Low" Tumors

The study evaluated morphologic patterns, mutational profiles, and β-catenin immunohistochemistry (IHC) in copy-number low (CNL) endometrial adenocarcinomas (EAs). CNL EAs (n=19) with next-generation or whole genome sequencing results and available tissue for IHC were identified from our institutional database. Clinical data and histologic slides were reviewed. IHC for β-catenin was performed and correlated with mutation status. Images of digital slides of CNL EAs from The Cancer Genome Atlas (TCGA) database (n=90) were blindly reviewed by 4 pathologists, and morphology was correlated with mutation status. Categorical variables were analyzed using the Fisher exact test, and agreement was assessed using Fleiss κ. CTNNB1 mutations were present in 63% (12/19) of CNL EAs. β-catenin nuclear localization was present in 83% of CTNNB1-mutated tumors (10/12) and in 0% (0/7) of CTNNB1-wildtype tumors (sensitivity 0.83, specificity 1.00). Squamous differentiation (SD) was present in 47% (9/19) and was more often observed in CTNNB1-mutated tumors (P=0.02). Mucinous differentiation (MD) was associated with KRAS mutations (P<0.01). Digital image review of TCGA CNL EAs revealed that pathologist agreement on SD was strong (κ=0.82), whereas agreement on MD was weak (κ=0.48). Pathologists identified SD in 22% (20/90), which was significantly associated with the presence of CTNNB1 mutations (P<0.01). CNL EAs demonstrate several morphologies with divergent molecular profiles. SD was significantly associated with CTNNB1 mutations and nuclear localization of β-catenin in these tumors. Nuclear expression of β-catenin is a sensitive and specific IHC marker for CTNNB1 mutations in CNL EAs. CNL EAs with KRAS mutations often displayed MD.

Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion

PURPOSE

To evaluate radiomic machine learning (ML) classifiers based on multiparametric magnetic resonance images (MRI) in pretreatment assessment of endometrial cancer (EC) risk factors and to examine effects on radiologists' interpretation of deep myometrial invasion (dMI).

METHODS

This retrospective study examined 200 consecutive patients with EC during January 2004 -March 2017, divided randomly to Discovery (n = 150) and Test (n = 50) datasets. Radiomic features of tumors were extracted from T2-weighted images, apparent diffusion coefficient map, and contrast enhanced T1-weighed images. Using the Discovery dataset, feature selection and hyperparameter tuning for XGBoost were performed. Ten classifiers were built to predict dMI, histological grade, lymphovascular invasion (LVI), and pelvic/paraaortic lymph node metastasis (PLNM/PALNM), respectively. Using the Test dataset, the diagnostic performances of ten classifiers were assessed by the area under the receiver operator characteristic curve (AUC). Next, four radiologists assessed dMI independently using MRI with a Likert scale before and after referring to inference of the ML classifier for the Test dataset. Then, AUCs obtained before and after reference were compared.

RESULTS

In the Test dataset, mean AUC of ML classifiers for dMI, histological grade, LVI, PLNM, and PALNM were 0.83, 0.77, 0.81, 0.72, and 0.82. AUCs of all radiologists for dMI (0.83-0.88) were better than or equal to mean AUC of the ML classifier, which showed no statistically significant difference before and after the reference.

CONCLUSION

Radiomic classifiers showed promise for pretreatment assessment of EC risk factors. Radiologists' inferences outperformed the ML classifier for dMI and showed no improvement by review.

Recurrence risk factors in stage IA grade 1 endometrial cancer

OBJECTIVES

Patients with early-stage endometrial cancers (EC) with disease recurrences have worse survival outcomes. The purpose of this study was to identify clinical and pathologic factors that predict for all recurrences in stage IA grade 1 (IAG1) EC.

METHODS

Records from patients diagnosed with EC were retrospectively reviewed. Baseline characteristics of 222 patients with IAG1 EC who underwent surgical resection were analyzed. Cox proportional hazard analysis was used to identify univariate and multivariate risk factors that predict for recurrence.

RESULTS

Seventeen (7.65%) patients had recurrences. The 3-year cumulative incidence of recurrence were significantly higher for patients with time from biopsy to surgery ≥6 months (54% vs. 8%, p=0.003), simple hysterectomy with ovarian preservation vs. total hysterectomy and bilateral salpingo-oophorectomy (31% vs. 9%, p=0.032), any myometrial invasion vs. no invasion (18% vs. 2%, p=0.004), and tumor size ≥2 cm (15% vs. 2%, p=0.021). On, multivariate analysis, any myometrial invasion, increasing time from biopsy to surgery, and larger tumor size were independent predictors of any recurrence. Patients with recurrences had worse outcomes than those without (5-year overall survival [OS]=60%; 95% confidence interval [CI]=16%-86% vs. 5-year OS=95%; 95% CI=87%-99%, respectively, p=0.003).

CONCLUSION

Time from biopsy to surgery, larger tumors, and myometrial invasion are the most important predictors of recurrence. Though the recurrence rates are generally low in IAG1 EC, the survival rate for the patients with recurrences was worse than those without. Identification of additional recurrence risk factors can help select patients who may benefit from adjuvant treatment.

Effect of Pelvic Lymphadenectomy on Survival in Patients with Low-Risk Early-Stage Endometrial Cancer Diagnosed Intraoperatively Using Frozen Tissue Sections: A Retrospective Analysis

Purpose

To determine whether pelvic lymphadenectomy improved survival in patients diagnosed with low-risk early-stage endometrial cancer by intraoperative pathology.

Methods

This retrospective analysis included 238 patients at our hospital.

Results

The lymphadenectomy and non-lymphadenectomy groups contained 121 and 117 patients, respectively. In both groups, more than half the patients had tumor size ≥2 cm, and most had myometrial invasion <50%, stage Ia disease and no lymphovascular space invasion. Age, tumor size, myometrial invasion, surgical-pathologic stage and postoperative adjuvant therapy use were comparable between groups. The non-lymphadenectomy group had more patients treated laparoscopically (36.8% vs 10.7%; P<0.001) and fewer patients with histologic grade 2 disease (35.9% vs 62.8%; P<0.001) than the lymphadenectomy group. In the non-lymphadenectomy group, intraoperative frozen section pathology disagreed with postoperative pathology in only 31/117 cases for histologic grade (none upgraded to grade 3), 1/117 cases for myometrial invasion (one case revised from <50% to ≥50%) and 3/117 cases for surgical-pathologic stage (upgraded from Ia to Ib or II). Disease recurrence rate and overall survival did not differ significantly between the lymphadenectomy and non-lymphadenectomy groups. In multivariate Cox regression analysis, only surgical-pathologic stage >Ia (odds ratio, 47.7; 95% confidence interval, 6.7–340.8; P=0.031) was associated with increased odds of disease recurrence.

Conclusion

Pelvic lymphadenectomy may not be necessary in patients with an intraoperative diagnosis of low-risk endometrial cancer.

The combined ratio of estrogen, progesterone, Ki-67, and P53 to predict the recurrence of endometrial cancer

BACKGROUND AND OBJECTIVES

We aimed to explore the capacity of the combined ratio of biomarkers to predict the recurrence of Stage I-III endometrial cancer (EC).

METHODS

A total of 473 patients were enrolled after screening. The cut-off value of the ratio was calculated by the receiver operating characteristic curve (ROC). The univariate and multivariate Cox regression analysis was used to assess the correlation between the combined ratio and the recurrence of EC. The differences of clinicopathological parameters between the two groups divided based on the threshold were compared.

RESULT

The ROC curve showed that 0.92 was the optimal cut-off value of the ratio ([ER + PR]/[P53 + Ki67]). The multivariate analysis demonstrated that only International Federation of Gynecology and Obstetrics stage (p = .031) and the combined ratio (p = .004) were independent risk factors of recurrence. The 3-year recurrence-free survival (RFS) and overall survival of patients in the low-ratio group were 54.1% and 66.8%, respectively; while in the high-ratio group were 94.9% and 97.9%, respectively (p < .001). The 3-year RFS of 194 patients, who did not receive the adjuvant therapy, was 54.7% and 97.2% between two groups (p < .001).

CONCLUSIONS

The optimal cut-off value (0.92) of the combined ratio was demonstrated to be better to predict the recurrence of EC than a single immunohistochemical marker.

Can a symptom checklist improve the triage of patients following successful endometrial cancer treatment?

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We developed and piloted a questionnaire on endometrial cancer recurrence symptoms.

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Approximately 40% of patients self-reported at least one symptom.

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Just over 3% of patients with self-reported symptoms were diagnosed with recurrence.

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Back/lumbar pain, vaginal bleeding and fatigue were associated with recurrence.

Endometrial cancer (EC) is the fifth most common cancer in women in developed countries. Clinical practice guidelines recommend patients should be followed-up every 3–6 months after primary treatment of EC. Evidence suggests that 40% to 80% of patients develop symptoms prior to being diagnosed with EC recurrence, however which symptoms are key remains unclear. We previously conducted a comprehensive literature review and developed a questionnaire on patient-reported symptoms associated with EC recurrence.

This is a brief communication on a pilot prospective cohort study among 120 Australian patients who completed primary treatment for EC in the past three years. The study showed 47 of the 120 patients (39.2%) self-reported at least one symptom, four of whom (3.3%) were diagnosed with a recurrence. Back or lumbar pain (P = 0.012), vaginal bleeding (P < 0.001), and lethargy, fatigue, exhaustion or tiredness (P = 0.002) were significantly associated with the development of EC recurrence.

The checklist will be further validated as part of a randomized controlled clinical trial to confirm the observed relationship between symptoms and the development of EC recurrence.

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

BACKGROUND

The Cancer Genome Atlas (TCGA) identified four prognostic subgroups of endometrial carcinoma: copy-number-low/p53-wild-type (p53wt), POLE-mutated/ultramutated (POLEmt), microsatellite-instability/hypermutated (MSI), and copy-number-high/p53-mutated (p53mt). However, it is still unclear if they may be integrated with the current histopathological prognostic factors, such as histotype.

OBJECTIVE

To assess the impact of histotype on the prognostic value of the TCGA molecular subgroups of endometrial carcinoma.

METHODS

A systematic review and meta-analysis was performed by searching 7 electronic databases from their inception to April 2019 for studies assessing prognosis in all TCGA subgroups of endometrial carcinoma. Pooled hazard ratio (HR) for overall survival (OS) was calculated in two different groups ("all-histotypes" and "endometrioid"), using p53wt subgroup as reference standard; HR for non-endometrioid histotypes was calculated indirectly. Disease-specific survival and progression-free survival were assessed as additional analyses.

RESULTS

Six studies with 2818 patients were included. In the p53mt subgroup, pooled HRs for OS were 4.322 (all-histotypes), 2.505 (endometrioid), and 4.937 (non-endometrioid). In the MSI subgroup, pooled HRs were 1.965 (all-histotypes), 1.287 (endometrioid), and 6.361 (non-endometrioid). In the POLEmt subgroup, pooled HRs were 0.763 (all-histotypes), 0.481 (endometrioid), and 2.634 (non-endometrioid). Results of additional analyses were consistent for all subgroups except for non-endometrioid POLEmt carcinomas.

CONCLUSION

Histotype of endometrial carcinoma shows a crucial prognostic value independently of the TCGA molecular subgroup, with non-endometrioid carcinomas having a worse prognosis in each TCGA subgroup. Histotype should be integrated with molecular characterization for the risk stratification of patients in the future.

Prognostic significance of lymphovascular space invasion in patients with endometrioid endometrial cancer: a retrospective study from a single center

OBJECTIVE

This study aims to analyze factors associated with lymphovascular space invasion (LVSI) and evaluate the prognostic significance of LVSI in Chinese endometrioid endometrial cancer (EEC) patients.

METHODS

Five-hundred eighty-four EEC patients undergoing surgery in our center from 2006 to 2016 were selected for analysis. Univariate analysis and multivariate logistic regression were used to examine relevant factors of LVSI. To evaluate the prognostic role of LVSI, survival analyses were conducted. In survival analyses, both multivariate Cox regression and propensity score matching were used to control the confounders.

RESULTS

The incidence of LVSI was 12.16% (71/584). Diabetes history (p=0.021), lymph node metastasis (p=0.005), deep myometrial invasion (p<0.001) and negative PR expression (p=0.007) were independently associated with LVSI. Both Kaplan-Meier method and univariate Cox regressions showed LVSI negative and positive cases had similar tumor-specific survival (TSS) and disease-free survival (DFS). After adjusting for the influence of adjuvant therapy and other clinicopathological factors with multivariate Cox regressions, LVSI still could not bring additional survival risk to the patients (p=0.280 and p=0.650 for TSS and DFS, respectively). This result was verified by Kaplan-Meier survival analyses after propensity score matching (p=0.234 and p=0.765 for TSS and DFS, respectively).

CONCLUSION

LVSI does not significantly compromise the survival outcome of Chinese EEC patients.

Oncologic Outcome of Patients with (Low-Risk) Endometrial Carcinoma Undergoing Laparotomy versus Minimally Invasive Hysterectomy: A Retrospective Analysis

BACKGROUND

Patients with endometrial carcinoma (EC) frequently are obese and have various secondary diseases. We investigated the oncologic safety and complication rates of early-stage EC treated with laparotomy (LAP) versus minimally invasive hysterectomy (MIH). A secondary study aim was the evaluation of risk factors for relapse and complications.

METHODS

Data from the Cancer Registry Rostock, Germany, and the medical records of women diagnosed with type 1 EC between January 2005 and December 2014 were retrospectively evaluated. The baseline characteristics were analyzed with the χ2 test and Fisher's exact test. Multivariate analysis with the Cox proportional-hazards model and logistic regression were performed to identify prognostic factors for time to event and risk factors for complications. Kaplan-Meier analysis was performed for disease-free and overall survival.

RESULTS

Of 350 evaluated patients, 242 underwent traditional LAP; on 108 patients, MIH was performed. The median follow-up period in the LAP group and the MIH group was 82 ± 31.1 and 71.1 ± 33.6 months, respectively (p = 0.10). The median time to event was 40.3 ± 28.1 months in the LAP group and 38.0 ± 27.5 months in the MIH group (p = 0.476). Significantly longer surgery times (p < 0.001) and more complications (p < 0.001) were observed in the LAP group. Disease-free survival after MIH was not significantly different from that after LAP (log-rank p = 0.052). Multimorbidity remained as the single risk factor for event/recurrence (p = 0.019) in multivariate analysis.

CONCLUSIONS

MIH for early-stage EC may be an oncologically safe approach when compared to LAP, and its complication rates are lower; therefore, MIH represents the preferred approach for this patient cohort.

TCGA molecular groups of endometrial cancer: Pooled data about prognosis

BACKGROUND

After The Cancer Genome Atlas (TCGA) findings, four novel prognostic groups may direct the management of endometrial cancer (EC): POLE-mutated/ultramutated (POLEmt), microsatellite-instable/hypermutated (MSI), copy-number-low/p53-wild-type (p53wt), and copy-number-high/p53-mutated (p53mt). However, data about prognosis in each group are different across the studies, and definitive pooled estimates are lacking after validation series. Such data may be crucial in directing clinical study design and establishing the optimal tailored management of patients.

AIM

To provide pooled estimates of hazard ratio (HR) for overall survival (OS), disease-specific survival (DSS), progression-free survival (PFS) in each prognostic group.

MATERIALS AND METHODS

A systematic review and meta-analysis was performed by searching 7 electronic databases, from their inception to April 2019, for studies assessing prognosis in each TCGA EC group. Both univariable and multivariable HR analysis was performed for OS, DSS and PFS in each group, using p53wt as reference group.

RESULTS

Six studies with 2818 patients were included. Regarding OS, pooled HRs were 3.179 and 1.986 for p53mt group, 1.522 and 1.192 for MSI group, and 0.589 and 0.795 for POLEmt group at univariable and multivariable analyses, respectively. Regarding DSS, pooled HR were 5.052 and 2.133 for p53mt group, 1.965 and 1.068 for MSI group, and 0.552 and 0.325 for POLEmt group at univariable and multivariable analyses, respectively. Regarding PFS, pooled HR were 3.512 and 1.833 for p53mt group, 1.354 and 0.817 for MSI group, and 0.287 and 0.217 for POLEmt group at univariable and multivariable analyses, respectively.

CONCLUSIONS

Prognosis of p53mt group is consistently the worst one and is further worsened by unfavorable clinicopathological factors. Prognosis of MSI group overlaps with p53wt group but is worsened by unfavorable clinicopathological factors. Prognosis of POLEmt group is the best one and does not seem to be significantly affected by clinicopathological factors.

Clinicopathologic Features and Treatment Outcomes in Patients with Stage I, High-Risk Histology or High-Grade Endometrial Cancer after Primary Staging Surgery: A Taiwanese Gynecologic Oncology Group Study

To investigate the clinicopathological features and treatment outcomes in patients with stage I, high-risk endometrial cancer. Patients with International Federation of Gynecology and Obstetrics stage I, papillary serous, clear cell, or grade 3 endometrioid carcinoma treated between 2000 and 2012 were analyzed for the clinical and pathological factors in relation to prognosis. A total of 267 patients (stage IA; n = 175, stage IB; n = 92) were included. Among the clinicopathological features, stage and age were significant prognostic factors. The recurrence rate and overall survival for stage IB versus IA were 22.8% versus 9.1% (p = 0.003) and 149.7 months versus 201.8 months (p < 0.001), respectively. The patients >60 years of age also had a higher recurrence rate (21.7% versus 9.7%, p = 0.008) and poorer survival (102.0 months versus 196.8 months, p = 0.001) than those ≤60 years of age. Distant recurrence (64.9%) occurred more frequently than local recurrence (24.3%) and local combined with distant recurrence (10.8%) (p < 0.001). The postoperative treatment modality had no impact on tumor recurrence rate, recurrence site, or overall survival. Distant recurrence is a major cause of treatment failure in patients with stage I, high-risk endometrial cancer. However, current adjuvant treatment appeared to have little effect in preventing its occurrence.

Identification of Metabolomic Biomarkers for Endometrial Cancer and Its Recurrence after Surgery in Postmenopausal Women

Endometrial cancer (EC) is the most frequent gynecological cancer in developed countries. Most EC occurs after menopause and is diagnosed as endometrioid (type I) carcinomas, which exhibit a favorable prognosis. In contrast, non-endometrioid (type II) carcinomas such as serous tumors have a poor prognosis. Our goal was to identify novel blood-based markers associated with EC subtypes and recurrence after surgery in postmenopausal women. Using mass spectrometry-based untargeted metabolomics, we examined preoperative serum metabolites among control women (n = 18) and those with non-recurrent (NR) and recurrent (R) cases of type I endometrioid (n = 24) and type II serous (n = 12) carcinomas. R and NR cases were similar with respect to pathological characteristics, body mass index, and age. A total of 1,592 compounds were analyzed including 14 different lipid classes. When we compared EC cases with controls, 137 metabolites were significantly different. A combination of spermine and isovalerate resulted in an age-adjusted area under the receiver-operating characteristic curve (AUC_adj) of 0.914 (P < 0.001) for EC detection. The combination of 2-oleoylglycerol and TAG42:2-FA12:0 allowed the distinction of R cases from NR cases with an AUC_adj of 0.901 (P < 0.001). Type I R cases were also characterized by much lower levels of bile acids and elevated concentrations of phosphorylated fibrinogen cleavage peptide, whereas type II R cases displayed higher levels of ceramides. The findings from our pilot study provide a detailed metabolomics study of EC and identify putative serum biomarkers for defining clinically relevant risk groups.