Progression to pancreatic ductal adenocarcinoma from pancreatic intraepithelial neoplasia: Results of a simulation model

Pancreatology. 2018 Dec;18(8):928-934. doi: 10.1016/j.pan.2018.07.009. Epub 2018 Jul 29.

Abstract

Objectives: To gain insight into the natural history and carcinogenesis pathway of Pancreatic Intraepithelial Neoplasia (PanIN) lesions by building a calibrated simulation model of PanIN progression to pancreatic ductal adenocarcinoma (PDAC) METHODS: We revised a previously validated simulation model of solid PDAC, calibrating the model to fit data from the National Cancer Institute's Surveillance, Epidemiology, and End Results program and published literature on PanIN prevalence by age. We estimated the likelihood of progression from PanIN states (1, 2, and 3) to PDAC and the time between PanIN onset and PDAC (dwell time). We evaluated a hypothetical intervention to test for and treat PanIN 3 lesions to estimate the potential benefits from PanIN detection.

Results: We estimated the lifetime probability of progressing from PanIN 1 to PDAC to be 1.5% (men), 1.3% (women). Progression from PanIN 1 to PDAC took 33.6 years and 35.3 years, respectively, and from PanIN 3 to PDAC took 11.3 years and 12.3 years. A hypothetical test for PanIN 3 detection and treatment could provide a maximum, average life expectancy gain of 40 days.

Conclusions: Our modeling analysis estimates PanINs have a relatively indolent course to PDAC, supporting the feasibility of potential future early detection strategies.

Keywords: pancreatic cancer; pancreatic intraepithelial neoplasia; simulation modeling.

MeSH terms

  • Adenocarcinoma / epidemiology
  • Adenocarcinoma / pathology*
  • Adenocarcinoma / therapy
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Biomarkers, Tumor
  • Carcinoma in Situ / epidemiology
  • Carcinoma in Situ / pathology*
  • Carcinoma in Situ / therapy
  • Carcinoma, Pancreatic Ductal / epidemiology
  • Carcinoma, Pancreatic Ductal / pathology*
  • Carcinoma, Pancreatic Ductal / therapy
  • Computer Simulation
  • Disease Progression
  • Female
  • Humans
  • Incidence
  • Life Expectancy
  • Male
  • Middle Aged
  • Models, Biological
  • Prevalence
  • Treatment Outcome
  • Young Adult

Substances

  • Biomarkers, Tumor