Risk-scoring models for individualized prediction of overall survival in low-grade and high-grade endometrial cancer

Gynecol Oncol. 2014 Jun;133(3):485-93. doi: 10.1016/j.ygyno.2014.03.567. Epub 2014 Mar 29.

Abstract

Objective: Overall survival (OS) in endometrial cancer (EC) is dependent on patient-, disease-, and treatment-specific risk factors. Comprehensive risk-scoring models were developed to estimate OS in low-grade and high-grade EC.

Methods: Patients undergoing primary surgery for EC from 1999 through 2008 were stratified histologically according to the International Federation of Gynecology and Obstetrics (FIGO) as either (i) low grade: grades 1 and 2 endometrioid EC or (ii) high grade: grade 3, including non-endometrioid EC. Associations between patient-, pathological-, and treatment-specific risk factors and OS starting on postoperative day 30 were assessed using multivariable Cox regression models. Factors independently associated with OS were used to construct nomograms and risk-scoring models.

Results: Eligible patients (N=1281) included 925 low-grade and 356 high-grade patients; estimated 5-year OSs were 87.0% and 51.5%, respectively. Among patients alive at last follow-up, median follow-up was 5.0 (low grade) and 4.6years (high grade), respectively. In low-grade patients, independent factors predictive of compromised OS included age, cardiovascular disease, pulmonary dysfunction, stage, tumor diameter, pelvic lymph node status, and grade 2 or higher 30-day postoperative complications. Among high-grade patients, age, American Society of Anesthesiologists score, stage, lymphovascular space invasion, adjuvant therapy, para-aortic nodal status, and cervical stromal invasion were independent predictors of compromised OS. The two risk-scoring models/nomograms had excellent calibration and discrimination (unbiased c-indices=0.803 and 0.759).

Conclusion: Patients with low-grade and high-grade EC can be counseled regarding their predicted OS using the proposed risk-scoring models. This may facilitate institution of personalized treatment algorithms, surveillance strategies, and lifestyle interventions.

Keywords: Endometrial cancer; High grade; Low grade; Nomogram; Overall survival.

MeSH terms

  • Aged
  • Carcinoma / mortality
  • Carcinoma / pathology
  • Carcinoma / therapy
  • Carcinoma, Endometrioid / mortality
  • Carcinoma, Endometrioid / pathology*
  • Carcinoma, Endometrioid / therapy
  • Cardiovascular Diseases / epidemiology
  • Chemotherapy, Adjuvant
  • Cohort Studies
  • Combined Modality Therapy
  • Comorbidity
  • Diabetes Mellitus / epidemiology
  • Disease-Free Survival
  • Endometrial Neoplasms / mortality
  • Endometrial Neoplasms / pathology*
  • Endometrial Neoplasms / therapy
  • Female
  • Humans
  • Hysterectomy
  • Lung Diseases / epidemiology
  • Lymph Node Excision
  • Lymph Nodes / pathology
  • Middle Aged
  • Multivariate Analysis
  • Neoplasm Grading
  • Neoplasm Staging
  • Nomograms*
  • Prognosis
  • Proportional Hazards Models
  • Radiotherapy, Adjuvant
  • Retrospective Studies
  • Risk Assessment / methods*