Clinicopathological Characteristics and Prognosis in Endometrial Cancer With Bone Metastasis: A SEER-Based Study of 584 Women

Clinical Characteristics and Prognostic Factors of Endometrial Cancer Patients With Liver Metastasis: A Surveillance, Epidemiology, and End Results Database (SEER)-Based Study of 1,034 Women

Background There are several patterns of metastatic spread from endometrial cancer (EC). Although studies have been conducted to study the EC population with distant metastasis in the bone and lungs, there is still a lack of studies on liver metastasis. This study aims to evaluate and assess the clinical features and prognostic factors of EC patients with liver metastasis. Methodology We conducted a retrospective cohort study adhering to the guidelines for reporting observational research. We utilized the Surveillance, Epidemiology, and End Results database to gather data on female patients diagnosed with EC and reported liver metastasis. We estimated survival curves using the Kaplan-Meier method and evaluated differences in survival using the log-rank test. We also conducted univariable and multivariable Cox proportional hazards regression analyses to determine the hazard ratios with 95% confidence intervals for overall survival (OS) and identify factors that impact survival. Results We analyzed data from 1,034 EC patients with liver metastasis. Median OS after liver metastasis was six months, and cancer-specific survival was seven months. Univariate Cox regression analysis revealed several factors associated with decreased OS in EC patients. These included age (≥60 years), non-endometrioid and sarcoma histological subtypes, absence of surgery, no chemotherapy, and the presence of distant metastasis to the lung, brain, and bone. Conversely, married marital status and white race were linked to a better prognosis. Subsequent multivariate Cox regression analysis identified age (≥60 years), non-endometrioid histological subtype, absence of surgery, no chemotherapy, and the presence of distant metastasis to lung, brain, and bone remaining as independent risk factors for decreased OS. In contrast, the white race still emerged as an independent prognostic factor for better OS. Conclusions Various risk factors, such as age, race, lung, bone, or brain metastasis, as well as chemotherapy and surgery, may influence the prognosis of individuals with primary EC liver metastases.

Predicting survival of patients with bone metastasis of unknown origin

Purpose

Bone metastasis of unknown origin is a rare and challenging situation, which is infrequently reported. Therefore, the current study was performed to analyze the clinicopathologic features and risk factors of survival among patients with bone metastasis of unknown origin.

Patients and methods

We retrospectively analyzed the clinical data for patients with bone metastasis of unknown origin between 2010 and 2016 based on the Surveillance, Epidemiology, and End Results (SEER) database. Overall survival (OS) and cancer-specific survival (CSS) were first analyzed by applying univariable Cox regression analysis. Then, we performed multivariable analysis to confirm independent survival predictors.

Results

In total, we identified 1224 patients with bone metastasis of unknown origin for survival analysis, of which 704 males (57.5%) and 520 females (42.5%). Patients with bone metastasis of unknown origin had a 1-year OS rate of 14.50% and CSS rate of 15.90%, respectively. Race, brain metastasis, liver metastasis, radiotherapy, and chemotherapy were significant risk factors of OS on both univariable and multivariable analyses (p <0.05). As for CSS, both univariable and multivariable analyses revealed that no brain metastasis, no liver metastasis, radiotherapy, and chemotherapy were associated with increased survival (p <0.05).

Conclusion

Patients with bone metastasis of unknown origin experienced an extremely poor prognosis. Radiotherapy and chemotherapy were beneficial for prolonging the survival of those patients.

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.

Analysis of prognostic factors of metastatic endometrial cancer based on surveillance, epidemiology, and end results database

Objective

To explore the risk factors for survival and prognosis of patients with metastatic endometrial cancer and to build and verify a reliable prediction model.

Methods

We retrospectively analyzed patients diagnosed with metastatic endometrial cancer in the US Surveillance, Epidemiology, and End Results (SEER) database between January 2010 and December 2015. Univariate and multivariate Cox regression analyses were used to assess clinical variables impact on survival and to construct nomograms. The results of the consistency index (C-index), subject operating characteristic (ROC) curve, and calibration curve were used to evaluate the predictive ability of the nomogram.

Results

This study included 3,878 patients with metastatic endometrial cancer. In the univariate analysis, variables associated with overall survival (OS) and cancer-specific survival (CSS) included age, race, marital status, pathological type, pathological grade, T-stage, N-stage, surgery, radiotherapy, chemotherapy, bone metastasis, brain metastasis, liver metastasis, and lung metastasis. In the multivariate analysis, age, race, pathological type, pathological grade, T-stage, N-stage, surgery, radiotherapy, chemotherapy, brain metastasis, liver metastasis, and lung metastasis were independent risk factors for OS and CSS (all P < 0.05). Combined with the results of the multiple factors, the 1-, 3-, 5-, and 8-year nomograms were constructed. For OS and CSS, T-stage had the greatest impact on the adverse prognosis of patients with metastatic endometrial cancer. The C-indexes of the OS and CSS nomograms in the training cohort were 0.749 (95% CI, 0.739-0.760) and 0.746 (95% CI, 0.736-0.756), respectively. The C-indices of OS and CSS in the validation cohort were 0.730 (95% CI, 0.714-0.746) and 0.728 (95% CI, 0.712-0.744), respectively. The ROC curve revealed our model's good prediction accuracy and clinical practicability. The calibration curve also confirmed the consistency between the model and actual existence. The Kaplan-Meier curves revealed statistically significant differences between the risk subgroups (P < 0.05).

Conclusion

Our SEER-based nomograms for predicting survival in patients with metastatic endometrial cancer were helpful for the clinical evaluation of patient prognosis.

Clinicopathological Features, Prognostic Factors and Survival in Patients With Pancreatic Cancer Bone Metastasis

Purpose

The purpose of this study is to reveal the clinicopathological features and identify risk factors of prognosis among patients with pancreatic cancer bone metastasis (PCBM).

Patients and Methods

Patients with PCBM were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2016. Independent predictors for survival of those patients were determined by the univariate and multivariate Cox regression analysis. Forest plots were drawn by GraphPad 8.0.1 and used to visually display the results of multivariate analysis.

Results

We identified 2072 eligible PCBM patients, of which 839 patients (40.5%) were female. Patients with age >60 years accounted for 70.6%. Multivariable Cox regression analysis indicated that age, pathological type, chemotherapy, liver metastasis, lung metastasis, and marital status were independent prognostic factors for both overall survival (OS) and cancer-specific survival (CSS). Kaplan–Meier survival curves showed that for patients with PCBM, age ≤60 years, non-ductal adenocarcinoma type, chemotherapy, no liver metastasis, no lung metastasis, and married status were correlated with increased survival. This population-based study showed that 1-year OS and CSS were 13.6% and 13.7%, respectively.

Conclusion

The present study identified six independent predictors of prognosis in PCBM, including age, pathological type, chemotherapy, liver metastasis, lung metastasis, and marital status. Knowledge of these survival predictors is helpful for clinicians to accelerate clinical decision process and design personalized treatment for patients with PCBM.

Characteristics and Predictors of Long-Time Survivors in Non-Metastatic Gastric Signet Ring Cell Carcinoma: A Large Population-Based Study

Objective

Gastric signet ring cell carcinoma (SRCC) is a distinct entity with a relatively poor prognosis. This study analyzed the clinicopathological characteristics of long-time survivors (LTSs) and identified independent predictors of long-term survival (LTS) in non-metastatic gastric SRCC.

Methods

Data from 3906 patients with non-metastatic gastric SRCC were retrieved from Surveillance, Epidemiology and End Results according to the inclusion and exclusion criteria. Patients were randomly divided into training and validation cohorts. Predictors of LTS in the training cohort were identified by multivariate logistic regression. A nomogram-based predictive model for LTS was constructed in non-metastatic gastric SRCC.

Results

There were 800 patients who survived for >5 years and were defined as TLSs. Young age, other race (not black or white population), female gender, married status, small tumor size, low tumor infiltration, and negative lymph node involvement were independent predictors of LTS in non-metastatic gastric SRCC. These seven variables were incorporated into a nomogram model for predicting LTS. The calibration curve showed good consistency between observed and predicted probability of LTS, and the receiver operating characteristic curve showed acceptable discriminative capacity in the training and validation cohorts.

Conclusion

This study provides an overview of the features of patients with non-metastatic gastric SRCC. Age, race, sex, marital status, tumor size, tumor infiltration, and lymph node involvement were identified as independent predictors of LTS.