Change in hazard rates of recurrence over time following diagnosis of endometrial cancer: An age stratified multicentre study from the FRANCOGYN group

YAP1 affects the prognosis through the regulation of stemness in endometrial cancer

Background

Endometrial cancer stem-like cells (ECSCs) have been proven to be responsible for recurrence, metastasis, and drug-resistance in patients with endometrial cancer. The HIPPO pathway has been shown to play an important role in the development and maintenance of stemness in a variety of tumors. While there was less research about its function in ECSCs. The aim of this study was to explore the role of YAP1, a core molecular of HIPPO pathway, in the stemness of endometrial cancer and to reveal its influence on prognosis.

Methods

We collected specimens and clinical data from 774 patients with endometrial cancer to analyze the correlation between YAP1 expression and prognosis. We then examined the expression of YAP1 in ECSCs and EC cell lines (Ishikawa; HEC1-A) in vitro experiments. Changes in the stemness of cell lines were detected after YAP1 silencing by siRNA. Finally, high-throughput sequencing was used to predict the potential molecular interactions and mechanisms of YAP1's effect on stemness.

Result

Down-regulation of YAP1 significantly suppresses the stemness of EC cell lines. High expression of YAP1 leads to poor prognosis in EC by regulation of stemness.

Conclusion

YAP1 plays an important role in the prognosis of patients with EC by regulation of stemness.

Therapeutic approaches in patients with bone metastasis due to endometrial carcinoma - A systematic review

Background

Bone metastases (BM) are uncommon in endometrial carcinoma (EC), without information on the optimal oncologic management of patients with BM in EC. Here, we systematically review clinical characteristics, treatment approaches and prognosis in patients with BM in EC.

Methods

We conducted a systematic literature search until 27th March 2022 on PubMed, MEDLINE, Embase and clinicaltrials.gov. Outcomes included treatment frequency and survival after BM with comparators being treatment approaches (local cytoreductive bone surgery, systemic therapy, and local radiotherapy). Risk of bias was assessed using the NIH Quality Assessment Tool and Navigation Guide methodology.

Results

We retrieved 1096 records of which 112 retrospective studies (12 cohort studies, 12/12 fair quality; 100 case studies, 100/100 low quality) with a total of 1566 patients were included. The majority had a primary diagnosis of FIGO stage IV, grade 3 endometrioid EC. Singular BM were present in a median of 39.2%, multiple BM in 60.8% and synchronous additional distant metastases in 48.1% of patients respectively. In patients with secondary BM median time to bone recurrence was 14 months. Median survival after BM was 12 months. Local cytoreductive bone surgery was assessed in 7/13 cohorts and performed in a median of 15.8% (interquartile range [IQR] 10.3-43.0) of patients. Chemotherapy was assessed in 11/13 cohorts and administered in a median of 55.5% (IQR 41.0-63.9), hormonal therapy (7/13 cohorts) in 24.7% (IQR 16.3-36.0), and osteooncologic therapy (4/13 cohorts) in 2.7% (IQR 0.0-7.5) of patients respectively. Local radiotherapy was assessed in 9/13 cohorts and performed in a median of 66.7% (IQR 55.6-70.0) of patients. Survival benefits were seen in 2/3 cohorts after local cytoreductive bone surgery, and in 2/7 cohorts after chemotherapy without survival benefits in the remaining cohorts and investigated therapies. Limitations include the lack of controlled intervention studies, the heterogeneity and retrospective nature of the investigated populations.

Conclusions

This systematic review shows heterogenous therapeutic approaches in clinical practice without clear evidence for optimal oncologic management for patients with BM in EC.

Development and validation of a nomogram involving immunohistochemical markers for prediction of recurrence in early low-risk endometrial cancer

Background

The purpose of this study was to construct a nomogram based on classical parameters and immunohistochemical markers to predict the recurrence of early low-risk endometrial cancer patients.

Methods

A total of 998 patients with early low-risk endometrial cancer who underwent primary surgical treatment were enrolled (668 in the training cohort, 330 in the validation cohort). Prognostic factors identified by univariate and multivariate analysis in the training cohort were used to construct the nomogram. Prediction performance of the nomogram was evaluated using the calibration curve, concordance index (C-index), and the time-dependent receiver operating characteristic curve. The cumulative incidence curve was used to describe the prognosis of patients in high-risk and low-risk groups divided by the optimal risk threshold of the model.

Results

In the training cohort, grade ( P = 0.040), estrogen receptor ( P < 0.001), progesterone receptor ( P = 0.001), P53 ( P = 0.004), and Ki67 ( P = 0.002) were identified as independent risk factors of recurrence of early low-risk endometrial cancer, and were used to establish the nomogram. The calibration curve showed that the fitting degree of the model was good. The C-indexes of training and validation cohorts were 0.862 and 0. 827, respectively. Based on the optimal risk threshold of the nomogram, patients were split into a high-risk group and a low-risk group. The cumulative incidence curves showed that the prognosis of the high-risk group was far worse than that of the low-risk group ( P < 0.001).

Conclusion

This nomogram, with a combination of classical parameters and immunohistochemical markers, can effectively predict recurrence in early low-risk endometrial cancer patients.

Prognostic factors determining survival after extrapelvic recurrence in endometrioid type endometrial cancer

OBJECTIVE

To define the factors that determine survival after extrapelvic recurrence in patients with endometrioid type endometrial cancer (EC).objective MATERIALS AND METHODS: Clinicopathological and survival data of surgically treated endometrioid type EC patients who recurred outside pelvis were reviewed. Patients who had non-endometrioid tumor, sarcomatous component in the final pathology and synchronous tumor were excluded. The period from surgery to recurrence was defined as time to recurrence (TTR) and the period from recurrence to death or last visit was defined as post-recurrence survival (PRS).

RESULTS

Sixty-six patients with extrapelvic recurrence were included in the study. No residual disease was achieved in all patients at initial surgery. Median TTR was 18 months (range, 2-84). Recurrence developed within 1 year in 24 (36.4%) patients and between 13 and 24 months in 22 (33.3%) patients. Fifty-three of 66 patients (80.3%) had extraabdominal recurrence. The 2-year PRS of the all cohort with extrapelvic recurrence was 56%. In the univariate analysis, advanced FIGO stage, lymph node metastasis, adnexal metastasis and short TTR were associated with diminished PRS (p < 0.05). The salvage chemotherapy for recurrence had a tendency to be associated with improved PRS in the univariate analysis. Two-year survival was 81% and 37% in the patients who received chemotherapy and radiotherapy, respectively (p = 0.057).

CONCLUSION

Almost half of the patients with extrapelvic recurrence died of disease within 2 years. Chemotherapy seemed to be more effective than radiotherapy as the salvage therapy of extrapelvic recurrences.

Recurrent patterns after postoperative radiotherapy for early stage endometrial cancer: A competing risk analysis model

OBJECTIVE

The study aimed to evaluate site-specific recurrent patterns via competing risks analysis and hazard function to provide evidence for adjuvant treatment and follow-up for early staged endometrial cancer (EC).

METHODS

A total of 858 patients with International Federation of Gynecology and Obstetrics stage I-II EC who received adjuvant radiotherapy at our institution (2000-2017) were included. The radiotherapy modality comprised external beam radiotherapy (EBRT) with or without vaginal brachytherapy (VBT) or VBT alone. Competing risks analysis and hazard rate function were employed to evaluate the recurrence rate according to the ESMO-ESGO-ESTRO risk classification.

RESULTS

The 5-year overall survival rates of the low-risk (LR), intermediate-risk (IR), high-intermediate risk (HIR), and high-risk (HR) groups were 96.1%, 95%, 93%, and 89.7%, respectively (p = 0.018). Sixty-eight patients developed recurrence. The 5-year incidence of distant recurrence was the highest in the HR group (14.87%), followed by the HIR (7.71%), IR (5.27%), and LR (1.26%) groups (Gray's test, p < 0.001). The LR and IR groups showed late metastasis behaviors for distant metastasis. The HR group presented a large magnitude of distant metastasis with an early peak that increased beyond 3 years. Subgroup analysis revealed that EBRT±VBT tended to reduce the locoregional relapse rate compared with VBT in the HIR-HR group (2.36% vs. 7.73%, Gray's test, p = 0.08).

CONCLUSION

The established competing risk modeling demonstrated different recurrence patterns across the risk groups and radiotherapy modes. A better understanding of the change in site-specific recurrence behavior allows more targeted adjuvant treatment and surveillance regimens.

Combining Clinicopathological Parameters and Molecular Indicators to Predict Lymph Node Metastasis in Endometrioid Type Endometrial Adenocarcinoma

Background

Lymph node metastasis (LNM) is a critical unfavorable prognostic factor in endometrial cancer (EC). At present, models involving molecular indicators that accurately predict LNM are still uncommon. We addressed this gap by developing nomograms to individualize the risk of LNM in EC and to identify a low-risk group for LNM.

Methods

In all, 776 patients who underwent comprehensive surgical staging with pelvic lymphadenectomy at the First Affiliated Hospital of Chongqing Medical University were divided into a training cohort (used for building the model) and a validation cohort (used for validating the model) according to a predefined ratio of 7:3. Logistics regression analysis was used in the training cohort to screen out predictors related to LNM, after which a nomogram was developed to predict LNM in patients with EC. A calibration curve and consistency index (C-index) were used to estimate the performance of the model. A receiver operating characteristic (ROC) curve and Youden index were used to determine the optimal threshold of the risk probability of LNM predicted by the model proposed in this study. Then, the prediction performance of different models and their discrimination abilities for identifying low-risk patients were compared.

Result

LNM occurred in 87 and 42 patients in the training and validation cohorts, respectively. Multivariate logistic regression analysis showed that histological grade (P=0.022), myometrial invasion (P=0.002), lymphovascular space invasion (LVSI) (P=0.001), serum CA125 (P=0.008), Ki67 (P=0.012), estrogen receptor (ER) (0.009), and P53 (P=0.003) were associated with LNM; a nomogram was then successfully established on this basis. The internal and external calibration curves showed that the model fits well, and the C-index showed that the prediction accuracy of the model proposed in this study was better than that of the other models (the C-index of the training and validation cohorts was 0.90 and 0.91, respectively). The optimal threshold of the risk probability of LNM predicted by the model was 0.18. Based on this threshold, the model showed good discrimination for identifying low-risk patients.

Conclusion

Combining molecular indicators based on classical clinical parameters can predict LNM of patients with EC more accurately. The nomogram proposed in this study showed good discrimination for identifying low-risk patients with LNM.

Real-world database analysis of the characteristics and treatment patterns of patients with endometrial cancer in Japan

OBJECTIVE

The aim was to identify the characteristics and treatment patterns of early and advanced stage endometrial cancer patients using real-world data.

METHODS

Patients' data extracted from a Japanese health insurance claims database were analyzed.

RESULTS

Of the 12,449 endometrial cancer patients, 74.4% were in stage I, 5.1% in stage II, 12.0% in stage III, and 8.4% in stage IV. Their median age was 60.5 years, higher in advanced stages (III/IV) than in early stages (I/II). Overall, 11,055 patients (88.8%) underwent surgery, and 4977 patients (40.0%) received post-surgery treatment, including chemotherapy (4441: 35.7%), chemoradiation therapy (379: 3.0%), and radiation therapy (157 patients: 1.3%); 1394 patients (11.2%) were not treated by surgery, and 742 patients (6.0%) received other treatment, with chemotherapy (548: 4.4%), radiation therapy (105: 0.8%), and chemoradiation therapy (89: 0.7%). The rate of patients undergoing surgery decreased, and that receiving chemotherapy increased significantly as cancer stage progressed. Paclitaxel/carboplatin was the most frequent first-line regimen (85.4% of patients), whereas various combination and monotherapy regimens were used as second- and third-line regimens. The most frequent second-line monotherapy was paclitaxel. The rate of monotherapy increased as the treatment line progressed (first-line 3.5%, second-line 22.0%, and third-line 36.4%).

CONCLUSIONS

The characteristics and treatment patterns of endometrial cancer patients differed between early and advanced stages, as did the chemotherapy regimens among first-, second-, and third-lines. Since various regimens were used for second- and third-line chemotherapies, development of appropriate second- and third-line chemotherapy regimens is warranted. A real-world analysis of cancer patients using a nationwide claims database may be a valuable approach to identifying unmet medical needs.

A Nomogram Model Involving Immunohistochemical Markers for Predicting the Recurrence of Stage I-II Endometrial Cancer

Background

The purpose of this study was to establish a nomogram combining classical parameters and immunohistochemical markers to predict the recurrence of patients with stage I-II endometrial cancer (EC).

Methods

419 patients with stage I-II endometrial cancer who received primary surgical treatment at the First Affiliated Hospital of Chongqing Medical University were involved in this study as a training cohort. Univariate and multivariate Cox regression analysis of screening prognostic factors were performed in the training cohort to develop a nomogram model, which was further validated in 248 patients (validation cohort) from the Second Affiliated Hospital of Chongqing Medical University. The calibration curve was used for internal and external verification of the model, and the C-index was used for comparison among different models.

Results

There were 51 recurrent cases in the training cohort while 31 cases in the validation cohort. Univariate analysis showed that age, histological type, histological grade, myometrial invasion, cervical stromal invasion, postoperative adjuvant treatment, and four immunohistochemical makers (Ki67, estrogen receptor, progesterone receptor, P53) were the related factors for recurrence of EC. Multivariate analysis demonstrated that histological type (P = 0.029), myometrial invasion (P = 0.003), cervical stromal invasion (P = 0.001), Ki67 (P < 0.001), ER (P = 0.009) and P53 expression (P = 0.041) were statistically correlated with recurrence of EC. Recurrence-free survival was better predicted by the proposed nomogram with a C-index of 0.832 (95% CI, 0.752–0.912) in the training cohort, and the validation set confirmed the finding with a C-index of 0.861 (95% CI, 0.755–0.967).

Conclusion

The nomogram model combining classical parameters and immunohistochemical markers can better predict the recurrence in patients with FIGO stage I-II EC.

Prognostic Value of Ki67 in Patients with Stage 1-2 Endometrial Cancer: Validation of the Cut-off Value of Ki67 as a Predictive Factor

Objective

The purpose of this study was to find a cut-off value of the immunohistochemical parameter Ki67 for stage I-II endometrial cancer.

Materials and Methods

The clinicopathological data of 318 patients with stages I-II endometrial cancer who received primary surgical treatment were retrospectively analyzed. A cut-off value of Ki67 for predicting recurrence of endometrial cancer was determined by using the receiver operating characteristic curve and the Youden index. The Cox regression was performed to screen factors associated with recurrence of endometrial cancer. Based on the cut-off value of Ki67, the patients were divided into two groups, and the differences of clinicopathological parameters between the two groups were compared.

Results

The receiver operating characteristic curve showed that the optimal cut-off value of Ki67 for predicting recurrence of patients with stages I-II endometrial cancer was 38%. The multivariate Cox regression analysis demonstrated that the histotypes (P=0.012), myometrial invasion (P=0.014), cervical stromal invasion (P=0.001), Ki67 (P=0.002), estrogen receptor (ER) (P=0.045) and P53 (P=0.032) were significant prognostic predictors for recurrence of endometrial cancer. The recurrence-free survival and the disease-specific survival of patients in the high-Ki67 group (Ki67 ≥38%) were much lower than those in the low-Ki67 group (Ki67 <38%) (P=0.000, P=0.001, respectively). Among the 118 patients with early low-risk endometrial cancer who did not receive adjuvant treatment after surgery, the recurrence-free survival of patients in the high-Ki67 group was also lower than those in the low-Ki67 group (P=0.000).

Conclusion

The Ki67 was demonstrated to be a useful prognostic factor in patients with stages I-II endometrial cancer, and the Ki67 labeling index 38.0% was optimal cut-off value for predicting recurrence.

Predicting Recurrence in Endometrial Cancer Based on a Combination of Classical Parameters and Immunohistochemical Markers

Objective

The aim of this study was to establish a nomogram to predict the recurrence of endometrial cancer (EC) by immunohistochemical markers and clinicopathological parameters and to evaluate the discriminative power of this model.

Methods

The data of 473 patients with stages I–III endometrial cancer who had received primary surgical treatment between October 2013 and May 2018 were randomly split into two sets: a training cohort and a validation cohort at a predefined ratio of 7:3. Univariate and multivariate Cox regression analysis of screening prognostic factors were performed in the training cohort (n=332) to develop a nomogram model for EC-recurrence prediction, which was further evaluated in the validation cohort (n=141).

Results

Univariate analysis found that FIGO stage, histological type, histological grade, myometrial invasion, cervical stromal invasion, postoperative adjuvant treatment, and four immunohistochemical markers (Ki67, ER, PR, and p53) were associated with recurrence in EC. Multivariate analysis showed that FIGO stage, histological type, ER, and p53 were superior parameters to generate the nomogram model for recurrence prediction in EC. Recurrence-free survival was better predicted by the proposed nomogram, with a C-index value of 0.79 (95% CI 0.66–0.92) in the validation cohort.

Conclusion

This nomogram model involving immunohistochemical markers can better predict recurrence in FIGO stages I–III EC.

Clinical outcome of recurrent endometrial cancer: analysis of post-relapse survival by pattern of recurrence and secondary treatment

INTRODUCTION

Recurrence of endometrial cancer is an important clinical challenge, with median survival rarely exceeding 12 months. The aim of this study was to analyze patterns of endometrial cancer recurrence and associations of these patterns with clinical outcome.

METHODS

The study included patients with endometrial cancer who underwent primary surgical treatment with or without adjuvant treatment between July 2004 and June 2017 at the Gynaecologic Oncology Unit of one of three tertiary hospitals of the Catholic University Network in Italy with complete follow-up data available. Information on the date and pattern of recurrence was retrieved for each relapse. Post-relapse survival was recorded as the time from the date of recurrence to the date of death or last follow-up. Survival probabilities were compared using log rank tests, and associations of clinico-pathological characteristics with post-relapse survival were tested using Cox's regression models.

RESULTS

A total of 1503 patients were included in the analysis. We identified 210 recurrences (14.0%) and 105 deaths (7.0%) at a median follow-up of 34 months (range 1-162). One hundred and fifty-eight recurrences (78.1%) occurred during the first two years of follow-up. Most recurrences were multifocal (n=121, 57.6%) and involved extrapelvic sites (n=38, 65.7%). Parameters associated with post-relapse survival in the univariate analysis included histotype, grade, time to recurrence, pattern of recurrence, number of relapsing lesions, and secondary radical surgery. Only the pattern of recurrence and secondary radical surgery were independent predictors of post-relapse survival in the multivariate analysis (p=0.025 and p=0.0001, respectively).

CONCLUSION

Lymph node recurrence and the feasibility of secondary radical surgery were independent predictors of post-relapse survival in patients with recurrent endometrial cancer.