Marital status and survival in epithelial ovarian cancer patients: a SEER-based study

Effect of marital status on the survival outcomes of cervical cancer: a retrospective cohort study based on SEER database

BACKGROUND

Cervical cancer is the fourth most common malignant tumor troubling women worldwide. Whether marital status affects the prognosis of cervical cancer is still unclear. Here, we investigate the prognostic value of marital status in patients with cervical cancer based on the seer database.

MATERIAL/METHODS

The demographic and clinical data of patients with cervical cancer were extracted from the Surveillance, Epidemiology, and End Results (SEER) database from 1975 to 2017. Patients were divided into two groups (married and unmarried) according to marital status, and then the clinical characteristics of each group were compared using the chi-square test. Propensity score matching (PSM) was used to reduce differences in baseline characteristics. The overall survival (OS) and cervical cancer-specific survival (CCSS) were assessed by the Kaplan-Meier method, univariate and multivariate Cox regression models, and stratified analysis. Moreover, univariate and multivariate competing risk regression models were performed to calculate hazard ratios (HR) of death risk.

RESULTS

A total of 21,148 patients were included in this study, including 10,603 married patients and 10,545 unmarried patients. Married patients had better OS(P < 0.05) and CCSS (P < 0.05) compared to unmarried patients, and marital status was an independent prognostic factor for both OS (HR: 0.830, 95% CI: 0.798-0.862) and CCSS (HR: 0.892, 95% CI: 0.850-0.937). Moreover, after eliminating the competing risk, married patients (CCSD: HR:0.723, 95% CI: 0.683-0.765, P < 0.001) had a significantly decreased risk of death compared to unmarried patients. In stratified analysis, the married patients showed better OS and CCSS than the unmarried patients diagnosed in 1975-2000 and 2001-2017.

CONCLUSIONS

Being married was associated with a favorable prognosis of cervical cancer, and marital status was an independent prognostic factor for cervical cancer.

Establishment and validation of systematic prognostic nomograms in patients over 60 years of age with osteosarcoma: A multicenter external verification study

BACKGROUND

The aim of this study was to develop and validate systematic nomograms to predict cancer specific survival (CSS) and overall survival (OS) in osteosarcoma patients aged over 60 years.

METHODS

We used data from the Surveillance, Epidemiology, and End Results (SEER) database and identified 982 patients with osteosarcoma over 60 years of age diagnosed between 2004 and 2015. Overall, 306 patients met the requirements for the training group. Next, we enrolled 56 patients who met the study requirements from multiple medical centers as the external validation group to validate and analyze our model. We collected all available variables and finally selected eight that were statistically associated with CSS and OS through Cox regression analysis. Integrating the identified variables, we constructed 3- and 5-year OS and CSS nomograms, respectively, which were further evaluated by calculating the C-index. A calibration curve was used to evaluate the accuracy of the model. Receiver operating characteristic (ROC) curves measured the predictive capacity of the nomograms. The Kaplan-Meier analysis was used for all patient-based variables to explore the influence of various factors on patient survival. Finally, a decision curve analysis (DCA) curve was used to analyze whether our model would be suitable for application in clinical practice.

RESULTS

Cox regression analysis of clinical variables identified age, sex, marital status, tumor grade, tumor laterality, tumor size, M-stage, and surgical treatment as prognostic factors. Nomograms showed good predictive capacity for OS and CSS. We calculated that the C-index of the OS nomogram of the training population was 0.827 (95% CI 0.778-0.876), while that of the CSS nomogram was 0.722 (95% CI 0.665-0.779). The C-index of the OS nomogram evaluated on the external validation population was 0.716 (95% CI 0.575-0.857), while that of the CSS nomogram was 0.642 (95% CI 0.50-0.788). Furthermore, the calibration curve of our prediction models indicated the nomograms could accurately predict patient outcome.

CONCLUSIONS

The constructed nomogram is a useful tool for accurately predicting OS and CSS at 3 and 5 years for patients over 60 years of age with osteosarcoma and can assist clinicians in making appropriate decisions in practice.

The Importance of Marital Status in the Morbidity and Prognosis of Lung Metastasis in Newly Diagnosed Ovarian Cancer

Objective: The study aimed to evaluate the risk factors for the morbidity and prognosis of lung metastases (LM) in patients with newly diagnosed ovarian cancer (OC), and further explore the important role of marital status. Materials and methods: Based on the Surveillance, Epidemiology, and End Results (SEER) dataset, OC patients from 2010 and 2019 were retrospectively analyzed. Logistic regression analysis and Kaplan-Meier method were applied to evaluate the vital factors of incidence and survival outcome in LM population. Cox regression analysis was performed to identify risk factors for the prognosis of OC patients with LM. The predictive potential was showed by two established nomograms and examined by the concordance index (C-index), calibration curves, the area under the curve (AUC), decision curve analyses (DCAs) and clinical impact curves (CICs). Results: There are 25,202 eligible OC patients were enrolled in the study, the morbidity of LM at 5.61%. Multivariable logistic regression models illustrated that chemotherapy (P<0.01), surgical treatment of bilateral or more areas (P<0.01), T stage (P<0.01), N1 stage (P<0.01), bone metastasis (P<0.01), brain metastasis (P<0.01) and liver metastasis (P<0.01) were all significantly connected with LM in OC. Multivariable Cox regression analyses illustrated that unmarried, radiotherapy, elder people and positive cancer antigen 125 (CA-125) were significantly associated with shorter survival time, while chemotherapy made contributions to improve survival. Our study found that marital relationships promoted LM and was associated with the better prognosis, while unmarried patients had the opposite results. With the further development of our research, the cross-action of social, economic and psychological factors together determined the great impact of marital status on the morbidity and prognosis of OC patients combined with LM. Finally, the stability of the models was proved by internal verification. Conclusion: The population-based cohort study provides references for guiding clinical screening and individualized treatment of OC patients with LM. Under the influence of society and economy, marital status is closely related to the morbidity and prognosis of OC, which can be an important direction to explore the risk of OC lung metastasis in the future.

The Relationship Between Sexual Satisfaction and Marital Satisfaction in Women With Ovarian Cancer and Their Spouses

BACKGROUND

Ovarian cancer can have long-term physical and psychosexual effects on survivors. The post-ovarian cancer sexuality concerns of women can cause sadness and anxiety and negatively impact sexual and marital satisfaction in these women and their spouses.

OBJECTIVE

The aim of this study was to investigate the relationship between sexual satisfaction and marital satisfaction of women with ovarian cancer and their spouses.

METHODS

This study was designed retrospectively. This study was conducted with 172 participants: 86 women with ovarian cancer and 86 spouses. Data were collected over 6 months from July 2019 to December 2019. Sexual satisfaction levels were assessed using the Golombok Rust Inventory of Sexual Satisfaction. Marital satisfaction levels were assessed using the Golombok Rust Inventory of Marital State.

RESULTS

Spouses' sexual satisfaction (mean, 8.10) was worse than that of the women (mean, 5.60). The women's marital satisfaction (mean, 47.39) was worse than that of their spouses (mean, 40.75).

CONCLUSIONS

As the sexual satisfaction of the women increased, the marital satisfaction of the women (r = 0.346, P = .001) and spouses (r = 0.308, P = .001) increased. As the sexual satisfaction of the spouses increased, the marital satisfaction of the women (r = 0.512, P = .001) and spouses (r = 0.409, P = .001) increased.

IMPLICATIONS FOR PRACTICE

Nurses and healthcare teams need to be aware of post-ovarian cancer sexual and marital satisfaction problems of women and their spouses and organize activities at education and couple counseling on these problems.

Influence of marital status on the treatment and survival of middle-aged and elderly patients with primary bone cancer

Objective

The role of spousal support has been recognized to benefit patients with many chronic diseases and cancers. However, the impact of marital status on the survival of middle-aged and elderly patients with primary bone tumors remains elusive.

Materials and methods

The data of patients aged ≥ 45 years with primary bone tumors diagnosed between 2000 and 2018 were extracted from the Surveillance, Epidemiology, and End Results Database. Kaplan–Meier analysis was used to assess the overall survival and tumor-specific survival of patients. The Cox proportional hazards and Fine-and-Gray models were used to calculate the hazard ratios (HRs) and sub-distribution HRs (sHR) and the corresponding 95% confidence interval (CI) of all-cause mortality and tumor-specific mortality, respectively.

Results

A total of 5,640 primary bone tumors were included in the study. In 45–59 years cohort, married, unmarried, divorced and widowed accounted for 66.0, 21.0, 11.2, and 1.8%, respectively; while 64.3, 10.1, 8.8, and 16.8% in 60+ years cohort, respectively. The widowed patients had a lower proportion of early-stage tumors at diagnosis than that married, unmarried, and divorced patients (31.0% vs. 36% vs. 37.1% vs. 39.4%; P = 0.008), and had a higher proportion of patients who did not undergo surgery than that of married, unmarried, and divorced patients (38.6% vs. 21.3% vs. 24.6% vs. 24.4%; P &lt; 0.001). The widowed population had an increased risk of all-cause mortality (HR, 1.68; 95% CI, 1.50–1.88; P &lt; 0.001) and disease-related mortality (HR, 1.33; 95% CI, 1.09–1.61; P = 0.005) compared with the married population.

Conclusion

The marital status of middle-aged and elderly people can affect the tumor stage at diagnosis, treatment, and survival prognosis of patients with primary bone cancer. Widowed patients are more inclined to choose non-surgical treatment and have the worst prognosis.

A Novel Nomogram for Predicting Breast Cancer-specific Survival in Male Patients

OBJECTIVES

To compare breast cancer-specific survival (BCSS) of nonmetastatic invasive breast cancer between male (MBC) and female (FBC) patients, define clinicopathologic variables related to BCSS in nonmetastatic invasive MBC patients, and establish a nomogram for individual risk prediction.

MATERIALS AND METHODS

On the basis of Surveillance, Epidemiology, and End Results database, 2094 MBC and 48,104 FBC cases underwent propensity score matching (PSM). We compared the prognosis of patients before and after PSM and developed a nomogram for BCSS of nonmetastatic invasive MBC patients. Internal validation was performed using the consistency index, calibration curves, and receiver operating characteristic curves. Simultaneously, data from 49 nonmetastatic invasive MBC patients diagnosed between January 2012 and May 2016 were collected for external validation.

RESULTS

Before PSM, overall survival and BCSS were significantly shorter in MBC than those in FBC patients. After PSM, MBC patients continued to have a shorter overall survival, but not BCSS, than FBC patients. Marital status, age, histologic grade, estrogen/progesterone receptor status, Tumor Lymph Node stage, and surgery were included in the prediction model.

CONCLUSIONS

The nomogram developed in this study seems to be more accurate than conventional Tumor-nodal-metastasis staging staging to predict BCSS and may serve as an effective tool for assessing the prognosis of nonmetastatic invasive MBC.

The influence of marital status on survival in patients with nasopharyngeal carcinoma: A surveillance, epidemiology, and end results database analysis

BACKGROUND

To assess the influence of marital status on the survival of patients with nasopharyngeal carcinoma (NPC), we used the Surveillance, Epidemiology, and End Results (SEER) database to analyze 5477 patients who were diagnosed with NPC from 2004 to 2016.

METHODS

Kaplan-Meier survival analysis and Cox proportional hazard regression were used to analyze the influence of marital status on cause-specific survival (CSS) and overall survival (OS). Subgroup analyses was used to assess the influence of marital status on CSS based on different factors.

RESULTS

For the 5477 patients, 61.5%, 22.4%, and 16.1% were married, single/unmarried, and separated/widowed/divorced, respectively. The separated/widowed/divorced group was more likely to be female (P < .001), had the highest proportion of elderly subjects (P < .001), were mostly Caucasian (P < .001), had pathological grade I/II (P < .001), were likely to undergo surgery (P = .032), and were registered in the northeast, north-central, and south (P < .001) regions. The 5-year CSS rates were 92.6%, 92.4%, and 85.1% in the married, single/unmarried, and separated/widowed/divorced groups, respectively (P < .001), and the 5-year OS rates were 60.7%, 54.6%, and 40.1%, respectively (P < .001).

CONCLUSION

Marital status is an independent prognostic factor of NPC. Separated/widowed/divorced patients had a significantly increased risk of NPC-related death (hazard ratio [HR] = 2.180, 95% confidence interval [CI] 1.721-2.757, P < .001) compared to married patients. The single/unmarried (P = .355) group had a CSS similar to that of the unmarried group. Marital status is an independent prognostic factor of survival in NPC patients. Separated/widowed/divorced status increases the risk of NPC mortality.

Risk and prognosis of second primary cancers among ovarian cancer patients, based on SEER database

The purposes of the present study were to elucidate the risk and prognostic effect of second primary cancers (SPCs) development, as well as the factors influencing the prognosis of OC patients with SPCs. A statistically significant increase in SPCs risk was observed among OC patients during 2004-2015. The independent factors were used to construct the SPCs-prediction nomogram and the OS-prediction nomogram. Both nomogram were subjected to internal validation and performed well. OC patients with SPCs have a better prognosis than patients without SPCs. Propensity score matching (PSM) was applied to reduce confounding.

Conditional Survival of Advanced Epithelial Ovarian Cancer: A Real-World Data Retrospective Cohort Study From the SEER Database

Objective: To analyze conditional survival (CS) in patients with advanced epithelial ovarian cancer (EOC) and investigate prognostic factors that affect the CS rate to provide more accurate survival information.

Methods: Patients with advanced EOC between 2004 and 2015 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. CS analysis was performed to depict exact survival for patients who had already survived a specific number of years. Cox proportional hazards regression was performed to ascertain the individual contribution of factors associated with actuarial overall survival (OS) at diagnosis and CS at 1, 3, and 5 years after diagnosis.

Results: Of 11,773 patients, OS decreased from 32.2% at 6 years to 25.1% at 8 years, while the corresponding 5 year CS (CS5) increased from 37.5% at 1 year to 43.9% at 3 years. Subgroup analysis stratified by clinicopathological characteristics showed that CS5 was always higher than the corresponding actuarial survival (all Δ > 0). Based on multivariate analysis at diagnosis, age, race, marital status, histological type, tumor grade, size, T stage, M stage, surgery, radiation therapy, and chemotherapy were independent prognostic factors for OS. Five years after diagnosis, however, only age, histological type, tumor grade, and laterality were persistently significant independent prognostic factors (all P <0.05). Furthermore, patients with poor pathological prognostic factors achieved greater improvements in CS5 rates, and the survival gaps between OS and CS were more obvious.

Conclusion: CS of advanced EOC was dynamic and increased over time. Age, histology, tumor grade, and laterality were significant prognostic factors even 5 years after diagnosis. Thus, the availability of updated prognoses at various time points will allow clinicians to better guide their patients.

The impact of marital status on stage at diagnosis and survival of female patients with breast and gynecologic cancers: A meta-analysis

The aim of this meta-analysis is to evaluate the effect of marital status on the stage at diagnosis and survival of female patients with breast and gynecologic cancers. A systematic literature search was conducted on electronic databases (PubMed, Cochrane and EMBASE) till December 31, 2020. Publications investigating the association of marital status with stage at diagnosis and/or cancer-specific mortality (CSM) and/or overall survival (OS) in female patients with breast or gynecologic cancers were retrieved. After studies were selected according to inclusion criteria, data extraction, quality assessment and data analysis were performed. 55 articles were eligible for inclusion, consisting of 1,195,773 female cancer patients with breast, vulvar, cervical, endometrial and ovarian cancers. Unmarried female cancer patients had higher odds of being diagnosed at later stage [odds ratio (OR) = 1.28, 95% confidence interval (CI): 1.22-1.36)] and worse survival outcomes in CSM [hazard ratio (HR) = 1.22, 95% CI: 1.16-1.28] and OS (HR = 1.20, 95% CI: 1.14-1.25). This estimate did not vary by level of social support, number of adjustment factors, or between America and Europe. Being married is associated with timely diagnosis and favorable prognosis in most women's cancers. Unmarried female cancer patients have a higher risk of late-stage diagnosis and worse survival outcomes than the married. Greater concern shall be demonstrated towards unmarried female cancer patients. Furthermore, the impact of lacking economic and emotional support on survival outcomes in unmarried female cancer patients deserves particular attention.

Development and validation of a nomogram to predict synchronous lung metastases in patients with ovarian cancer: a large cohort study

Purpose: Lung metastasis is an independent risk factor affecting the prognosis of ovarian cancer patients. We developed and validated a nomogram to predict the risk of synchronous lung metastases in newly diagnosed ovarian cancer patients.

Methods: Data of ovarian cancer patients from the Surveillance, Epidemiology, and Final Results (SEER) database between 2010 and 2015 were retrospectively collected. The model nomogram was built on the basis of logistic regression. The consistency index (C-index) was used to evaluate the discernment of the synchronous lung metastasis nomogram. Calibration plots were drawn to analyze the consistency between the observed probability and predicted probability of synchronous lung metastases. The Kaplan–Meier method was used to estimate overall survival rate, and influencing factors were included in multivariate Cox regression analysis (P<0.05) to determine the independent prognostic factors of synchronous lung metastases.

Results: Overall, 16059 eligible patients were randomly divided into training (n=11242) and validation cohorts (n=4817). AJCC T, N stage, bone metastases, brain metastases, and liver metastases were evaluated as predictors of synchronous lung metastases. Finally, a nomogram was constructed. The nomogram based on independent predictors was calibrated and showed good discriminative ability. Mixed histological types, chemotherapy, and primary site surgery were factors affecting the overall survival of patients with synchronous lung metastases.

Conclusion: The clinical prediction model has high accuracy and can be used to predict lung metastasis risk in newly diagnosed ovarian cancer patients, which can guide the treatment of patients with synchronous lung metastases.

Epidemiology, incidence, and survival of synovial sarcoma subtypes: SEER database analysis

BACKGROUND

Synovial sarcoma (SyS) is a rare malignancy that is typically located on the limbs and occurs predominantly in adolescents. A study in a large population for SyS comparing subtypes has not yet been reported.

METHODS

National Cancer Institute's Surveillance, Epidemiology, and End Results database was queried for patients diagnosed with SyS between January 1975 and December 2016. Patients were classified demographically according to gender, age, race/ethnicity, and marital status, and they were also classified by tumors, subtypes, localization, grade, year of diagnosis, laterality, type of treatment, and follow-up results.

RESULTS

A total of 3228 patients were included, with a mean age of 39.3 ± 18.8 (range: 1-94), of which 1521 (47.1%) were females and 1707 (52.9%) were males. According to its subtypes, 47.2% were SyS not otherwise specified, 32.3% were spindle cell, 19.9% were biphasic, and 0.6% were epithelioid type. The overall survival period is 138.0 (95% confidence interval: 113.2-162.8) months. Survival duration was found to be significantly different between groups according to gender (log-rank test; p < 0.001), age groups (log-rank test; p < 0.001), race (log-rank test; p = 0.001), marital status (log-rank test; p < 0.001), tumor subtypes (log-rank test; p < 0.001), tumor location (log-rank test; p < 0.001), tumor laterality (log-rank test; p < 0.001), date of diagnosis (log-rank test; p = 0.025), tumor grade (log-rank test; p < 0.001), historic stage (log-rank test; p < 0.001), state of chemotherapy (log-rank test; p < 0.001), state of radiotherapy (log-rank test; p < 0.001), presence of metastasis (log-rank test; p < 0.001), and total number of malignant tumors (log-rank test; p < 0.001).

CONCLUSION

Male gender, being colored individual, being over 35 years at the time of diagnosis, epithelioid type, non-head and neck region localization is associated with poor prognosis. While radiotherapy improves survival, benefit of chemotherapy is unclear.

LEVEL OF EVIDENCE

III retrospective analysis.

Development and validation of nomograms for epithelial ovarian cancer: a SEER population-based, real-world study

Aim: To develop and internally validate nomograms to predict the overall survival (OS) and the cancer-specific survival (CSS) of patients with epithelial ovarian cancer (EOC). Methods: A total of 9001 EOC patients diagnosed between 2010 and 2013 were randomly divided into the training (n = 6301) and validation (n = 2700) cohorts. Nomogram and bootstrap validation were used to assess the predictive values of the models, including discrimination, calibration and clinical benefit. Results: In the validation cohort, the concordance statistic values were 0.733 for OS and 0.747 for CSS. Calibration plots and decision curve analyses demonstrated moderate accuracy and clinical applicability. Conclusion: Nomograms were user-friendly tools for guiding clinical treatment and estimating prognosis.

Relationship status and other demographic influences on survival in patients with ovarian cancer

OBJECTIVE

To evaluate the influence of marital status and other demographic factors on survival of patients with ovarian cancer.

STUDY DESIGN

Data were obtained from the Surveillance, Epidemiology, and End Results database from 2010 to 2015. Analyses were performed using Kaplan-Meier and multivariate Cox proportional hazard methods.

RESULTS

Of 19 643 patients with ovarian cancer (median age 60 years, range 18-99), 16 278 (83%), 1381 (7%), 1856 (9%), and 128 (1%) were White, Black, Asian, and Native American, respectively. The majority of patients (10 769, 55%) were married while 4155 (21%) were single, 2278 (12%) were divorced, and 2441 (12%) were widowed. Patients were more likely to be married if they were Asian (65%) or White (56%) than if they were Black (31%) or Native American (39%) (p<0.001). Most married patients were insured (n=9760 (91%), non-Medicaid) compared with 3002 (72%) of single, 1777 (78%) divorced, and 2102 (86%) of widowed patients (p<0.001). Married patients were more likely to receive chemotherapy than single, divorced, and widowed patients (8515 (79%) vs 3000 (72%), 1747 (77%), and 1650 (68%), respectively; p<0.001). The 5-year disease-specific survival of the overall group was 58%. Married patients had improved survival of 60% compared with divorced (52%) and widowed (44%) patients (p<0.001). On multivariate analysis, older age (HR 1.02, 95% CI 1.016 to 1.021, p<0.001), Black race (HR 1.24, 95% CI 1.11 to 1.38, p<0.001), and Medicaid (HR 1.19, 95% CI 1.09 to 1.30, p<0.001) or uninsured status (HR 1.23, 95% CI 1.05 to 1.44, p<0.01) carried a worse prognosis. Single (HR 1.17, 95% CI 1.08 to 1.26, p<0.001), divorced (HR 1.14, 95% CI 1.04 to 1.25, p<0.01), and widowed (HR 1.16, 95% CI 1.06 to 1.26, p<0.001) patients had decreased survival.

CONCLUSION

Married patients with ovarian cancer were more likely to undergo chemotherapy with better survival rates. Black, uninsured, or patients with Medicaid insurance had poorer outcomes.

Treatment with β-elemene combined with paclitaxel inhibits growth, migration, and invasion and induces apoptosis of ovarian cancer cells by activation of STAT-NF-κB pathway

In this study, we aimed to analyze the anti-cancer effects of β-elemene combined with paclitaxel for ovarian cancer. RT-qPCR, MTT assay, western blot, flow cytometry, and immunohistochemistry were used to analyze in vitro and in vivo anti-cancer effects of combined treatment of β-elemene and paclitaxel. The in vitro results showed that β-elemene+paclitaxel treatment markedly inhibited ovarian cancer cell growth, migration, and invasion compared to either paclitaxel or β-elemene treatment alone. Results demonstrated that β-elemene+paclitaxel induced apoptosis of SKOV3 cells, down-regulated anti-apoptotic Bcl-2 and Bcl-xl gene expression and up-regulated pro-apoptotic P53 and Apaf1 gene expression in SKOV3 cells. Administration of β-elemene+paclitaxel arrested SKOV3 cell cycle at S phase and down-regulated CDK1, cyclin-B1, and P27 gene expression and apoptotic-related resistant gene expression of MDR1, LRP, and TS in SKOV3 cells. In vivo experiments showed that treatment with β-elemene+paclitaxel significantly inhibited ovarian tumor growth and prolonged the overall survival of SKOV3-bearing mice. In addition, the treatment inhibited phosphorylated STAT3 and NF-κB expression in vitro and in vivo. Furthermore, it inhibited migration and invasion through down-regulation of the STAT-NF-κB signaling pathway in SKOV3 cells. In conclusion, the data suggested that β-elemene+paclitaxel can inhibit ovarian cancer growth via down-regulation of the STAT3-NF-κB signaling pathway, which may be a potential therapeutic strategy for ovarian cancer therapy.

Predictors of survival trajectories among women with epithelial ovarian cancer

OBJECTIVE

Although ovarian cancer is a deadly disease, approximately a third of women survive ≥9 years after diagnosis. The factors associated with achieving long-term survival are not well understood. In this study, data from the Surveillance, Epidemiology, and End Results (SEER) program were used to determine predictors of survival trajectories among women with epithelial ovarian cancer and across histotype (high-grade serous carcinoma (HGSC) and non-HGSC).

METHODS

Data on 35,868 women diagnosed with epithelial ovarian cancer in 2004-2016 were extracted from SEER. Extended Cox proportional hazards regression was used to estimate overall and histotype-specific associations between patient and tumor characteristics and all-cause mortality within each survival time (t) interval (t < 3, 3 ≤ t < 6, 6 ≤ t < 9, and 9 ≤ t < 13 years).

RESULTS

Age at diagnosis, marital status, race/ethnicity, stage, and surgery were more strongly associated with mortality in the short-term survival period, and these associations waned with increasing survival time. Exceptions to this pattern were age >70 years at diagnosis, where a high risk of mortality was observed in both the t < 3 and t ≥ 9 year time periods, and non-Hispanic Asian/Pacific Islanders, where a more pronounced inverse association with mortality was observed in t ≥ 9 years after diagnosis. Similar associations were observed for HGSC, although the waning effect was not apparent for most characteristics. Mortality associations for non-HGSC were more pronounced for stage and race/ethnicity, primarily for non-Hispanic Asian/Pacific Islanders.

CONCLUSIONS

Most patient and tumor characteristics were more strongly associated with mortality in the years following diagnosis, but have declining impact with increasing survival time. Given this waning effect, it is critical to identify factors impacting risk of mortality as ovarian cancer patients advance through the survival trajectory.

Influence of marital status on overall survival in patients with ovarian serous carcinoma: finding from the surveillance epidemiology and end results (SEER) database

Objective

This study is to investigate the relationship between marital status and prognosis of patients with ovarian serous carcinoma.

Results

We performed data analysis from 19,276 patients identified from the SEER database of the National Cancer Center of the United States. 57.8% of the patients were married, 13.0% unmarried, and 29.2% separated/ divorced/widowed (SDW). The median overall survival time ofthe unmarried group and the married group are 48 months and 52 months respectively. Univariate Cox regression analysis showed that the patients with serous ovarian cancer in the unmarried group resulted in a hazard ratio (HR) of 1.14 (95% CI: 1.08–1.19%; P < 0.001), comparing to SDW group with a HR of 1.02 (95% CI: 0.98–1.19%; P = 0.26). However, the SDW group was not statistically significantly different from the married group. (median 32 vs 52 months). Multivariate Cox regression analysis presented the unmarried group leading to a HR of 1.05 (95% CI: 1.00–1.11%; P = 0.05), and the SDW group was not significant with a HR of 0.99 (95% CI: 0.95–1.03%; P = 0.57).

Conclusion

Unmarried patients with ovarian serous carcinoma have higherHRof overall survival. After controlling age, race, grade, radiation and year of diagnosis, unmarried patients were found to have a significantly higher risk of OS. Consequently, these patients are suggested to obtain more focused healthcare for the management of ovarian serous carcinoma.

The effect of marital status on endometrial cancer-related diagnosis and prognosis: a Surveillance Epidemiology and End Results database analysis

Aim: Marital status has been proved a significant prognostic factor for diagnosis and prognosis in various cancers, but the effect in endometrial cancer (EMC) is controversial. The research was designed to clarify the relationship between marital status and EMC. Methods: We identified 39,387 patients with EMC between 2004 and 2010 from the Surveillance Epidemiology and End Results database. Patients were categorized into four groups according to marital status. We used the logistic regression, the Kaplan-Meier method and Cox regression analysis to analyze the effect of marital status on EMC-related diagnosis and prognosis. Results: The study suggests that marriage benefits the diagnosis and prognosis of EMC. Widowed and unmarried patients had higher risk of mortality than other marital status.

Marital Status and Survival in Osteosarcoma Patients: An Analysis of the Surveillance, Epidemiology, and End Results (SEER) Database

Background

As the most malignant bone tumor globally, osteosarcoma has drawn increased attention. However, no studies have focused on the association between marital status and survival rate. The objectives of this study were to determine the association between marital and survival rate of osteosarcoma patients based on the SEER database.

Material/Methods

We enrolled a total of 2725 osteosarcoma patients between 1973 and 2015, including 1184 married, 154 divorced/separated, 136 widowed, and 1251 never-married patients. Survival rate was determined based on the Kaplan-Meier method in different marital subgroups. Multivariate Cox regression analysis was performed to explore independent prognostic factors.

Results

The 5-year overall survival (OS) and cancer-specific survival (CSS) rates of the married, separated/divorced, widowed, and never-married subjects were 45.93%, 41.39%, 19.08%, and 57.21% (OS), and 49.97%, 45.85%, 22.14%, and 60.69% (CSS), respectively. The survival outcome among subgroups exhibited a clear difference, with a log-rank test p-value <0.0001. Multivariate Cox regression showed that widowhood served as the independent prognostic factor for decreased OS rather than marriage (HR, 1.246; 95% CI, 1.011–1.536; p-value=0.039) and CSS (HR, 1.34; 95% CI, 1.07–1.68; p-value=0.01). Moreover, the OS and CSS in widowed patients were lower. Additionally, based on the propensity score matching (PSM) method, the prognosis of married patients was better than that of unmarried subjects.

Conclusions

Marital status was correlated with the survival rate, meaning that married patients had higher survival than widowed subjects, who had worse prognoses of osteosarcoma.

Metastases with definitive pathological diagnosis but no detectable primary tumor: A surveillance epidemiology and end results-based study

Background

This study investigates the characteristics of a special type of cancer of unknown primary site (CUP, type 2), which is a metastasis of a definite pathological diagnosis without a detectable primary site.

Patients and methods

Patients diagnosed between 2004 and 2014 were identified from the Surveillance Epidemiology and End Results (SEER) database. The characteristics of type 2 CUP from different sources were analyzed. For each source of type 2 CUP, tumors of the corresponding T_nN_0‐XM₁ stage were used as controls.

Results

A total of 8505 patients with type 2 CUP were included in this analysis. Type 2 CUP shows an increasing trend, while type 1 shows the opposite. Type 2 CUPs have significant differences with stage IV of the same pathological primary lesion. Many characteristics influenced the prognosis of type 2 CUP patients, including marital status, age, race, sex, registration time, lymph node metastasis, surgery, chemotherapy, and radiation.

Conclusion

Our study suggests that identifying the source of metastasis is the key to the selection of treatment and the determination of the prognosis for CUP.

The effects of time valuation in cancer optimal therapies: a study of chronic myeloid leukemia

BACKGROUND

The mathematical design of optimal therapies to fight cancer is an important research field in today's Biomathematics and Biomedicine given its relevance to formulate patient-specific treatments. Until now, however, cancer optimal therapies have considered that malignancy exclusively depends on the drug concentration and the number of cancer cells, ignoring that the faster the cancer grows the worse the cancer is, and that early drug doses are more prejudicial. Here, we analyze how optimal therapies are affected when the time evolution of treated cancer is envisaged as an additional element determining malignancy, analyzing in detail the implications for imatinib-treated Chronic Myeloid Leukemia.

METHODS

Taking as reference a mathematical model describing Chronic Myeloid Leukemia dynamics, we design an optimal therapy problem by modifying the usual malignancy objective function, unaware of any temporal dimension of cancer malignance. In particular, we introduce a time valuation factor capturing the increase of malignancy associated to the quick development of the disease and the persistent negative effects of initial drug doses. After assigning values to the parameters involved, we solve and simulate the model with and without the new time valuation factor, comparing the results for the drug doses and the evolution of the disease.

RESULTS

Our computational simulations unequivocally show that the consideration of a time valuation factor capturing the higher malignancy associated with early growth of cancer and drug administration allows more efficient therapies to be designed. More specifically, when this time valuation factor is incorporated into the objective function, the optimal drug doses are lower, and do not involve medically relevant increases in the number of cancer cells or in the disease duration.

CONCLUSIONS

In the light of our simulations and as biomedical evidence strongly suggests, the existence of a time valuation factor affecting malignancy in treated cancer cannot be ignored when designing cancer optimal therapies. Indeed, the consideration of a time valuation factor modulating malignancy results in significant gains of efficiency in the optimal therapy with relevant implications from the biomedical perspective, specially when designing patient-specific treatments.

Social Integration, Marital Status, and Ovarian Cancer Risk: A 20-Year Prospective Cohort Study

OBJECTIVE

Low social integration and divorce/widowhood are chronic psychosocial stressors that may affect health. When assessed after cancer diagnosis, they have been associated with poorer survival, but their role in cancer development, particularly ovarian cancer (OvCA), is less understood. We investigated whether social integration and marital status were related to OvCA risk in a large population-based study.

METHODS

Women from the Nurses' Health Study completed the Berkman-Syme Social Network Index and reported their marital status every 4 years starting in 1992 (N = 72,206), and were followed up until 2012 (20-year follow-up period). Multivariate Cox regression models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of OvCA risk, considering relevant potential confounders, in lagged analyses whereby psychosocial indicators were assessed 4 to 8 years (n = 436 cases) and 8 to 12 years (n = 306 cases) before diagnosis to account for the effects of prediagnostic symptoms on social measures. Secondary analyses evaluated the stability of and cumulative exposure to these social factors on OvCA risk.

RESULTS

Being socially isolated versus integrated was related to an increased OvCA risk 8 to 12 years later (HR = 1.51, 95% CI = 1.07-2.13), but not 4 to 8 years later. Compared with married women, OvCA risk was significantly higher in widowed but not in separated/divorced individuals, with both time periods (e.g., 8-12 years later: HRwidowed = 1.57 [95% CI = 1.15-2.14] versus HRseparated/divorced = 1.13 [95% CI = 0.74-1.72]). Estimates were comparable or stronger when investigating stability in and cumulative effects of social indicators.

CONCLUSIONS

Results suggest higher OvCA risk among socially isolated and widowed women, particularly when such psychosocial stressors were experienced a decade before diagnosis or were sustained over time.

Effect of marital status on survival in glioblastoma multiforme by demographics, education, economic factors, and insurance status

The relationship between marital status and glioblastoma multiforme (GBM) has not been addressed in depth. Here, we aimed to investigate the association between marital status and survival in GBM. We searched the Surveillance, Epidemiology, and End Results (SEER) database and extracted the data of eligible patients diagnosed with GBM after 2004. Marital status was classified as married, divorced/separated, widowed, and single. A Kaplan-Meier test was conducted to compare the survival curves of different groups. Multivariate Cox regression was performed to evaluate overall survival (OS) and cause-specific survival (CSS) in different groups. Subgroup analysis was applied according to demographics, typical education and income levels in the locale, and insurance status. A total of 30 767 eligible patients were included. The median OS values were 9, 7, 3, 9 months in married, divorced/separated, widowed, and single patients, respectively. After adjustment for other covariates, married patients had better OS and CSS than other patients had. In addition to marital status, demographic factors, disease progression factors, local educational level, and insurance status were also associated with survival in GBM. Furthermore, subgroup analyses revealed the protective effect of marriage in most of the comparisons. Notably, the protective effect of marriage becomes more and more apparent as time goes on. The advantageous effect of marriage on GBM survival is especially prominent in patients who are male, older than 60 years of age, White, or living in middle-income counties. In conclusion, marital status is an independent prognostic factor for GBM.