J Gynecol Oncol.  2023 Nov;34(6):e81. 10.3802/jgo.2023.34.e81.

Epidemiologic characteristics and a prognostic nomogram for patients with vulvar cancer: results from the Surveillance, Epidemiology, and End Results (SEER) program in the United States, 1975 to 2016

Affiliations
  • 1Department of Gynecology, Guangdong Second Provincial General Hospital, Guangzhou, China
  • 2Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
  • 3Department of Hematology, The First Affiliated Hospital of Shaoyang University, Shaoyang, China
  • 4Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China

Abstract


Objective
To elucidate clinical characteristics and build a prognostic nomogram for patients with vulvar cancer.
Methods
The study population was drawn from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly assigned to training and validation sets. Cox proportional hazards model and competing risk model were used to identify the prognostic parameters of overall survival (OS) and cancer-specific survival (CSS) to construct a nomogram. The nomogram was assessed by concordance index (C-index), area under the curve (AUC), calibration plot, and decision curve analysis (DCA).
Results
A total of 20,716 patients were included in epidemiological analysis, of whom 7,025 patients were selected in survival analysis, including 4,215 and 2,810 in training and validation sets, respectively. The multivariate Cox model showed that the predictors for OS were age, marital status, histopathology, differentiation and tumor node metastasis (TNM) stages, whether to undergo surgery and chemotherapy. However, the predictors for CSS were age, race, differentiation and TNM stages, whether to undergo surgery and radiation. The C-index for OS and CSS in the training set were 0.76 and 0.80. The AUC in the training set for 1-, 3- and 5-year OS and CSS were 0.84, 0.81, 0.80 and 0.88, 0.85, 0.83, respectively, which was similar in the validation set. The calibration curves showed good agreement between prediction and actual observations. DCA revealed that the nomogram had a better discrimination than TNM stages.
Conclusions
The nomogram showed accurate prognostic prediction in OS and CSS for vulvar cancer, which could provide guidance to clinical practice.

Keyword

Vulvar Cancer; Nomogram; Receiver Operating Characteristic; Overall Survival; Cancer-Specific Survival
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