Validation of Nomograms for Survival and Metastases after Hysterectomy and Adjuvant Therapy in Uterine Cervical Cancer with Risk Factors.

Yoon, Won Sup; Yang, Dae Sik; Lee, Jung Ae; Lee, Nam Kwon; Park, Young Je; Kim, Chul Yong; Lee, Nak Woo; Hong, Jin Hwa; Lee, Jae Kwan; Song, Jae Yun

Background. Three nomogram models for early stage uterine cervical cancer have been developed (KROG 13-03 for overall survival [OS], SNUH/AMC for disease-free survival [DFS], and KROG 12-08 for distant metastases-free survival [DMFS]) after radical hysterectomy (RH) and pelvic lymph node dissection (PLND). This study aimed to validate these models using our cohort with adjuvant radiotherapy. Methods. According to the eligibility criteria of nomogram studies, patients were enrolled in Group A (N=109) for the two KROG models (RH with PLND and whole pelvic irradiation) and Group B (N=101) for the SNUH/AMC model (RH with PLND and squamous histology). Using Cox-regression hazard models, the prognostic factors of our cohorts were evaluated. The risk probabilities induced from published nomogram scores were calculated and the concordance indices were evaluated. Results. Group A had 88.1% 5-year OS and 86.0% 5-year DMFS. Group B had 83.0% 5-year DFS. In multivariate analyses, large tumor size for OS (HR 8.62, P<0.001) and DMFS (HR 5.13, P=0.003), young age (≤40 versus 41–64 years) for OS (HR 4.63, P=0.097) and DFS (HR 3.44, P=0.051), and multiple lymph node metastases (0 versus ≥3) for DMFS (HR 4.03, P=0.031) and DFS (HR 3.90, P=0.038) were significantly correlated. The concordance indices for OS, DMFS, and DFS were 0.612 (P=0.002), 0.597 (P=0.014), and 0.587 (P=0.020), respectively. Conclusion. The developed nomogram models after RH and PLND are clinically useful in predicting various types of survival with significance.

AGE distribution; SURGICAL excision; FORECASTING; HYSTERECTOMY; LONGITUDINAL method; LYMPH nodes; LYMPH node surgery; METASTASIS; MULTIVARIATE analysis; PROBABILITY theory; RADIOTHERAPY; RESEARCH evaluation; SURVIVAL; WOMEN'S health; CERVIX uteri tumors; STATISTICAL significance; PROPORTIONAL hazards models; STATISTICAL models; DESCRIPTIVE statistics; ODDS ratio; PROGNOSIS

BioMed Research International, 2017, Vol 2017, p1

2314-6133

Academic Journal

10.1155/2017/2917925