Multimodal treatment including hysterectomy improves survival in patients with locally advanced cervical cancer: A population-based, propensity score-matched analysis

A Bayesian network predicting survival of cervical cancer patients-Based on surveillance, epidemiology, and end results

This study aimed to build a comprehensive model for predicting the overall survival (OS) of cervical cancer patients who received standard treatments and to build a series of new stages based on the International Federation of Gynecologists and Obstetricians (FIGO) stages for better such predictions. We collected the cervical cancer patients diagnosed since the year 2000 from the Surveillance, Epidemiology, and End Results (SEER) database. Cervical cancer patients who received radiotherapy or surgery were included. Log-rank tests and Cox regression were used to identify potential factors of OS. Bayesian networks (BNs) were built to predict 3- and 5-year survival. We also grouped the patients into new stages by clustering their 5-year survival probabilities based on FIGO stage, age, and tumor differentiation. Cox regression suggested black ethnicity, adenocarcinoma, and single status as risks for poorer prognosis, in addition to age and stage. A total of 43,749 and 39,333 cases were finally eligible for the 3- and 5-year BNs, respectively, with 11 variables included. Cluster analysis and Kaplan-Meier curves indicated that it was best to divide the patients into nine modified stages. The BNs had excellent performance, with area under the curve and maximum accuracy of 0.855 and 0.804 for 3-year survival, and 0.851 and 0.787 for 5-year survival, respectively. Thus, BNs are excellent candidates for predicting cervical cancer survival. It is necessary to consider age and tumor differentiation when estimating the prognosis of cervical cancer using FIGO stages.

Prognostic factors for squamous cervical carcinoma identified by competing-risks analysis: A study based on the SEER database

Cervical cancer has a high incidence of malignant tumors and a high mortality rate, with squamous cervical carcinoma (SCC) accounting for 80% of cases. A competing-risks model is recommended as being more feasible for evaluating the prognosis and guiding clinical practice in the future compared to Cox regression. Data originating from the Surveillance, epidemiology, and end results (SEER) database during 2004 to 2013 were analyzed. Univariate analysis with the cumulative incidence function was performed to assess the potential risk of each covariate. Significant covariates (P < .05) were extracted for inclusion in a Cox regression analysis and a competing-risks model that included a cause-specific (CS) hazard function model and a sub-distribution (SD) hazard function model. A total of 5591 SCC patients met the inclusion criteria. The three methods (Cox regression analysis, CS analysis, and SD analysis) showed that age, metastasis, American Joint Committee on Cancer stage, surgery, chemotherapy, radiation sequence with surgery, lymph node dissection, tumor size, and tumor grade were prognostic factors affecting survival in patients with SCC. In contrast, race and radiation status were prognostic factors affecting survival in the Cox regression and CS analysis, but the results were different in the SD analysis. Being separated, divorced, or widowed was an independent prognostic factor in the Cox regression analysis, but the results were different in the CS and SD analyses. A competing-risks model was used as a new statistical method to more accurately identify prognostic factors than conventional Cox regression analysis leading to bias in the results. This study found that the SD model may be better suited to estimate the clinical prognosis of a patient, and that the results of an SD model analysis were close to those of a CS analysis.

Area-specific economic status should be regarded as a vital factor affecting the occurrence, development and outcome of cervical cancer

For patients with cervical cancer, despite the incidence and mortality rates have been declining in recent years, due to its huge population base, cervical cancer has always been a serious public health problem. Our research placed emphasis on the indices greatly associated with overall area-specific social economic status, making up for the defects of traditional research which only pay attention to the situation of some specific disease or patients’ individual social status. A total of 39160 women identified cervical cancer were concluded in our study from the Surveillance, Epidemiology, and End Results (SEER) 18 Program data between 1980 and 2014. With improving the area-specific social economic factors in recent years, the occurrence and prognosis of cervical cancer showed different variation patterns respectively. Some states like California and Georgia for their better economic status and more healthcare investment by local medical institution, population there showed a lower prevalence, incidence, more timely diagnosis, effective treatment, and better prognosis. According to our study, we aimed to give a scientific interpretation on how the area-specific social economic factors affect the disease situation at the macro level and help local medical institution make advisable decisions for controlling cervical cancer.

Rising Mortality Rate of Cervical Cancer in Younger Women in Urban China

BACKGROUND

In recent decades, much effort has been made in China to reduce the burden of cervical cancer.

OBJECTIVE

Our study's purpose was to examine trends of cervical cancer mortality in each 5-year age group for urban and rural Chinese women, respectively.

DESIGNS

Retrospective analysis of cervical cancer mortality from 1987 to 2015 from the World Health Organization Cancer Mortality Database and China Health Statistical Yearbooks.

PARTICIPANTS

Chinese women.

MAIN MEASURES

Trends were examined using annual percent change (APC) and average annual percent change (AAPC) via Joinpoint regression models for each 5-year age group in urban and rural areas, respectively.

RESULTS

In urban China, mortality rate of cervical cancer increased significantly among urban women aged 25-54 years (AAPC 2.12~5.49%), in contrast to a decline trend among urban women older than 60 years (AAPC - 3.61~- 5.35%). In rural China, cervical cancer rates declined in all age groups, but the magnitude was smaller in women aged 30-54 years (AAPC - 0.59~- 2.20%) compared to women older than 55 years (AAPC - 3.06~- 4.33%).

CONCLUSION

Mortality rate of cervical cancer is rising at an alarming rate in younger women in urban China. Timely intervention is required for these vulnerable populations.

Comparison of survival outcomes between radical hysterectomy and definitive radiochemotherapy in stage IB1 and IIA1 cervical cancer

Introduction

There is an ongoing debate regarding the optimal local treatment modalities for stage IB1 and IIA1 cervical cancer. The aim of this study was to determine whether radical hysterectomy or definitive radiochemotherapy is superior in stage IB1 and IIA1 cervical squamous cell carcinoma (SCC).

Methods

From 1990 to 2010, a total of 3,769 patients with stage IB1 and IIA1 cervical SCC were included from the Surveillance, Epidemiology, and End Results database and were stratified according to whether they received radical hysterectomy or primary radiochemotherapy. Propensity score-matching (PSM) methods were used to balance patient baseline characteristics. Cancer-specific survival (CSS) and overall survival (OS) were compared between the two groups.

Results

Of the 3,769 patients, 3,653 (96.9%) and 116 (3.1%) patients received radical hysterectomy and definitive radiochemotherapy, respectively. Radiochemotherapy was rarely used for definitive treatment prior to 2000. Before PSM, patients who were older, of black ethnicity, and with larger tumor size and stage IIA1 disease were more likely to receive definitive radiochemotherapy. A total of 116 pairs were completely matched using PSM. The local treatment modalities had no effect on CSS or OS in either unmatched or matched populations. In the matched population, the 8-year CSS rates were 82.1% and 76.5% in surgery and radiochemotherapy groups, respectively (p=0.382). The 8-year OS rates were 74.6% and 67.8% in surgery and radiochemotherapy groups, respectively (p=0.205).

Conclusion

Our population-based study suggests that there is no clear local treatment of choice on survival outcomes between radical hysterectomy and definitive radiochemotherapy in patients with stage IB1 and IIA1 cervical SCC.