ALERT: This system is being upgraded on Tuesday December 12. It will not be available for use for several hours that day while the upgrade is in progress. Deposits to DukeSpace will be disabled on Monday December 11, so no new items are to be added to the repository while the upgrade is in progress. Everything should be back to normal by the end of day, December 12.

Show simple item record

Evaluating the number of stages in development of squamous cell and adenocarcinomas across cancer sites using human population-based cancer modeling. Kravchenko, Julia Akushevich, Igor Abernethy, Amy P Lyerly, H Kim
dc.coverage.spatial United States 2017-06-06T15:54:49Z 2017-06-06T15:54:49Z 2012
dc.identifier PONE-D-12-02029
dc.description.abstract BACKGROUND: Adenocarcinomas (ACs) and squamous cell carcinomas (SCCs) differ by clinical and molecular characteristics. We evaluated the characteristics of carcinogenesis by modeling the age patterns of incidence rates of ACs and SCCs of various organs to test whether these characteristics differed between cancer subtypes. METHODOLOGY/PRINCIPAL FINDINGS: Histotype-specific incidence rates of 14 ACs and 12 SCCs from the SEER Registry (1973-2003) were analyzed by fitting several biologically motivated models to observed age patterns. A frailty model with the Weibull baseline was applied to each age pattern to provide the best fit for the majority of cancers. For each cancer, model parameters describing the underlying mechanisms of carcinogenesis including the number of stages occurring during an individual's life and leading to cancer (m-stages) were estimated. For sensitivity analysis, the age-period-cohort model was incorporated into the carcinogenesis model to test the stability of the estimates. For the majority of studied cancers, the numbers of m-stages were similar within each group (i.e., AC and SCC). When cancers of the same organs were compared (i.e., lung, esophagus, and cervix uteri), the number of m-stages were more strongly associated with the AC/SCC subtype than with the organ: 9.79±0.09, 9.93±0.19 and 8.80±0.10 for lung, esophagus, and cervical ACs, compared to 11.41±0.10, 12.86±0.34 and 12.01±0.51 for SCCs of the respective organs (p<0.05 between subtypes). Most SCCs had more than ten m-stages while ACs had fewer than ten m-stages. The sensitivity analyses of the model parameters demonstrated the stability of the obtained estimates. CONCLUSIONS/SIGNIFICANCE: A model containing parameters capable of representing the number of stages of cancer development occurring during individual's life was applied to the large population data on incidence of ACs and SCCs. The model revealed that the number of m-stages differed by cancer subtype being more strongly associated with ACs/SCCs histotype than with organ/site.
dc.language eng
dc.publisher Public Library of Science (PLoS)
dc.relation.ispartof PLoS One
dc.relation.isversionof 10.1371/journal.pone.0037430
dc.subject Adenocarcinoma
dc.subject Adult
dc.subject Age Distribution
dc.subject Aged
dc.subject Aged, 80 and over
dc.subject Carcinoma, Squamous Cell
dc.subject Cohort Studies
dc.subject Esophageal Neoplasms
dc.subject Female
dc.subject Humans
dc.subject Incidence
dc.subject Lung Neoplasms
dc.subject Middle Aged
dc.subject Models, Statistical
dc.subject SEER Program
dc.subject Sensitivity and Specificity
dc.subject United States
dc.subject Uterine Cervical Neoplasms
dc.title Evaluating the number of stages in development of squamous cell and adenocarcinomas across cancer sites using human population-based cancer modeling.
dc.type Journal article Akushevich, Igor|0285458 Abernethy, Amy P|0050834 Lyerly, H Kim|0117267
pubs.begin-page e37430
pubs.issue 5
pubs.organisational-group Basic Science Departments
pubs.organisational-group Clinical Science Departments
pubs.organisational-group Duke
pubs.organisational-group Duke Cancer Institute
pubs.organisational-group Duke Clinical Research Institute
pubs.organisational-group Duke Population Research Institute
pubs.organisational-group Immunology
pubs.organisational-group Institutes and Centers
pubs.organisational-group Institutes and Provost's Academic Units
pubs.organisational-group Medicine
pubs.organisational-group Medicine, Medical Oncology
pubs.organisational-group Nursing
pubs.organisational-group Pathology
pubs.organisational-group Physics
pubs.organisational-group Sanford School of Public Policy
pubs.organisational-group School of Medicine
pubs.organisational-group School of Nursing
pubs.organisational-group Social Science Research Institute
pubs.organisational-group Surgery
pubs.organisational-group Surgery, Surgical Sciences
pubs.organisational-group Trinity College of Arts & Sciences
pubs.organisational-group University Institutes and Centers
pubs.publication-status Published
pubs.volume 7
dc.identifier.eissn 1932-6203
duke.contributor.orcid Lyerly, H Kim|0000-0002-0063-4770

Files in this item


This item appears in the following Collection(s)

Show simple item record