Trends in uterine cancer incidence and mortality: insights from a natural history model.

BACKGROUND

Uterine cancer incidence and mortality are increasing, with concomitant disparities in outcomes between racial groups. Natural history modeling can evaluate risk factors, predict future trends, and simulate approaches to reducing mortality and disparities.

METHODS

We designed a natural history model of uterine cancer using a multistage clonal expansion design. The model is informed by National Health and Nutrition Examination Survey, National Health Examination Survey, age, time period, birth cohort, and birth certificate data on reproductive histories and body mass index (BMI). We fit and calibrated the model to Surveillance, Epidemiology, and End Results data by race and ethnicity as well as histologic subgroup. We projected future incidence and estimated the degree of contribution of BMI, reproductive history, and competing hysterectomy to excess uterine cancer incidence.

RESULTS

The model accurately replicated Surveillance, Epidemiology, and End Results incidence for endometrioid, nonendometrioid, and sarcoma subgroups for non-Hispanic Black and non-Hispanic White patients. For endometrioid, nonendometrioid, and sarcomas, BMI-attributable risks are greater for non-Hispanic White than for non-Hispanic Black patients; reproductive history-attributable risks are greater for non-Hispanic Black patients. Between 2018 and 2050, endometrioid incidence is projected to rise by 64.9% in non-Hispanic Black individuals and17.5% in non-Hispanic White individuals; the projected rise for the nonendometrioid subgroup is 41.4% in non-Hispanic Black individuals and 22.5% in non-Hispanic White individuals; the sarcoma incidence projected increase is 36% in non-Hispanic Black individuals and 29.2% in non-Hispanic White individuals.

CONCLUSIONS

Uterine cancer risk is substantially explained by reproductive history and BMI, with differences observed between non-Hispanic Black and non-Hispanic White individuals and future projections indicating perpetuation of disparities. Lower rates of hysterectomy and rising obesity rates will likely contribute to continued increases in uterine cancer incidence.