» Articles » PMID: 30143405

Progression to Pancreatic Ductal Adenocarcinoma from Pancreatic Intraepithelial Neoplasia: Results of a Simulation Model

Overview
Journal Pancreatology
Date 2018 Aug 26
PMID 30143405
Citations 23
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Intra-Operative Tumour Detection and Staging in Pancreatic Cancer Surgery: An Integrative Review of Current Standards and Future Directions.

Kotb A, Hafeji Z, Jesry F, Lintern N, Pathak S, Smith A Cancers (Basel). 2024; 16(22).

PMID: 39594758 PMC: 11592681. DOI: 10.3390/cancers16223803.


A mathematical model for pancreatic cancer during intraepithelial neoplasia.

Briones-Andrade J, Ramirez-Santiago G, Romero-Arias J R Soc Open Sci. 2024; 11(10):240702.

PMID: 39493299 PMC: 11528534. DOI: 10.1098/rsos.240702.


Defining precancer: a grand challenge for the cancer community.

Faupel-Badger J, Kohaar I, Bahl M, Chan A, Campbell J, Ding L Nat Rev Cancer. 2024; 24(11):792-809.

PMID: 39354069 DOI: 10.1038/s41568-024-00744-0.


Driver Mutations in Pancreatic Cancer and Opportunities for Targeted Therapy.

Olaoba O, Adelusi T, Yang M, Maidens T, Kimchi E, Staveley-OCarroll K Cancers (Basel). 2024; 16(10).

PMID: 38791887 PMC: 11119842. DOI: 10.3390/cancers16101808.


Biomarkers in Cancer Screening: Promises and Challenges in Cancer Early Detection.

Kohaar I, Hodges N, Srivastava S Hematol Oncol Clin North Am. 2024; 38(4):869-888.

PMID: 38782647 PMC: 11222039. DOI: 10.1016/j.hoc.2024.04.004.


References
1.
Laffan T, Horton K, Klein A, Berlanstein B, Siegelman S, Kawamoto S . Prevalence of unsuspected pancreatic cysts on MDCT. AJR Am J Roentgenol. 2008; 191(3):802-7. PMC: 2692243. DOI: 10.2214/AJR.07.3340. View

2.
Takaori K, Hruban R, Maitra A, Tanigawa N . Pancreatic intraepithelial neoplasia. Pancreas. 2004; 28(3):257-62. DOI: 10.1097/00006676-200404000-00008. View

3.
Cloyd J, Tran Cao H, Petzel M, Denbo J, Parker N, Nogueras-Gonzalez G . Impact of pancreatectomy on long-term patient-reported symptoms and quality of life in recurrence-free survivors of pancreatic and periampullary neoplasms. J Surg Oncol. 2016; 115(2):144-150. PMC: 11849053. DOI: 10.1002/jso.24499. View

4.
Pandharipande P, Heberle C, Dowling E, Kong C, Tramontano A, Perzan K . Targeted screening of individuals at high risk for pancreatic cancer: results of a simulation model. Radiology. 2014; 275(1):177-87. PMC: 4372492. DOI: 10.1148/radiol.14141282. View

5.
Matsuda Y, Tanaka M, Sawabe M, Mori S, Muramatsu M, Mieno M . Relationship between pancreatic intraepithelial neoplasias, pancreatic ductal adenocarcinomas, and single nucleotide polymorphisms in autopsied elderly patients. Genes Chromosomes Cancer. 2017; 57(1):12-18. DOI: 10.1002/gcc.22479. View