Incidence, prognostic factors and a nomogram of cervical cancer with distant organ metastasis: a SEER-based study

This study was to investigate the incidence, survival and prognostic factors of cervical cancer with distant organ metastasis, and to develop a nomogram to predict the prognosis of cervical cancer. We used the Surveillance, Epidemiology and End Results (SEER) database to screen patients diagnosed with cervical cancer from 2010 to 2014. The chi-squared test was used to analyse the differences in clinical characteristics, and we used Kaplan-Meier methods to perform survival analysis. Univariate and multivariate Cox proportional hazard regression models were used to estimate prognostic factors, and we developed a visual nomogram to judge the prognosis. We found that lung metastasis was the most common in cervical cancer patients with distant organ metastasis. Age, race, characteristics of the tumour, and therapy should be considered when analysing the prognosis of cervical cancer patients. The findings of this study may help clinicians to formulate individualised treatment strategies. Impact Statement What is already known on this subject? Distant organ metastasis of cervical cancer mainly involves lung, bone, liver and brain. Once it occurs, the survival and prognosis will be threatened seriously. What the results of this study add? 4176 patients were included, and lung metastasis was the most common in cervical cancer with distant organ metastasis (3.5%). Additionally, age, race, tumour grade, histological type, T-stage, N-stage, lung, liver and bone metastasis and the treatment mode are significantly related to the outcomes of cervical cancer patients. Furthermore, we developed a nomogram that could predict the probability of three-year and five-year OS. What the implications are of these findings for clinical practice and/or further research? The findings of this study may drive more and more studies focussing on the comprehensive prognostic assessment, diagnosis, and treatment of distant metastasis of cervical cancer. Besides, clinicians can utilise these findings to formulate individualised treatment strategies.