Dataset Information

Age-Structured Population Modeling of HPV-related Cervical Cancer in Texas and US.

ABSTRACT: Human papillomavirus (HPV)-related cervical cancer is a major public health threat to women, with >10,000 new cases diagnosed annually in the United States between 2008 and 2012. Since HPV vaccines can protect against ~80% of HPV-associated cervical cancers, the economic and epidemiological impacts of HPV vaccination have been extensively investigated, particularly at the national level. However, vaccination policies are state-specific, and state-level models are required for state-specific policy decisions. This study adapted an age-structured population model to describe the dynamics of HPV-related cervical cancer in Texas, with model parameters calibrated for Texas. The Year 2000 parameter set was the start point, and the model's predictions from 2001-2010 were well matched with the real incidence numbers in 23 age groups, suggesting the validity of the model. Application of the model to the Year 2010 parameter set predicted that, over the next 10 decades, incidence would decrease rapidly within the first decade and more slowly thereafter. Sensitivity analysis determined the impact of selected parameters (e.g., vaccine coverage rate) on future disease incidence. When compared with the US parameter sets, the Texas population was more sensitive to changes in HPV transmission and vaccination (e.g., ~8% difference in the predicted disease decline).

SUBMITTER: Peng HL

PROVIDER: S-EPMC6156590 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Publications

Age-Structured Population Modeling of HPV-related Cervical Cancer in Texas and US.

Peng Ho-Lan HL Tam Samantha S Xu Li L Dahlstrom Kristina R KR Wu Chi-Fang CF Fu Shuangshuang S Zhong Chengxue C Chan Wenyaw W Sturgis Erich M EM Ramondetta Lois L Rong Libin L Lairson David R DR Miao Hongyu H

Scientific reports 20180925 1

Human papillomavirus (HPV)-related cervical cancer is a major public health threat to women, with >10,000 new cases diagnosed annually in the United States between 2008 and 2012. Since HPV vaccines can protect against ~80% of HPV-associated cervical cancers, the economic and epidemiological impacts of HPV vaccination have been extensively investigated, particularly at the national level. However, vaccination policies are state-specific, and state-level models are required for state-specific poli ...[more]

PMID: 30254252

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Project description:Human papillomavirus (HPV) is a clear etiology of cervical cancer (CC). However, the associations between HPV infection and DNA methylation have not been thoroughly investigated. Additionally, it remains unknown whether HPV-related methylation signatures can identify subtypes of CC and stratify the prognosis of CC patients. DNA methylation profiles were obtained from The Cancer Genome Atlas to identify HPV-related methylation sites. Unsupervised clustering analysis of HPV-related methylation sites was performed to determine the different CC subtypes. CC patients were categorized into cluster 1 (Methylation-H), cluster 2 (Methylation-M), and cluster 3 (Methylation-L). Compared to Methylation-M and Methylation-L, Methylation-H exhibited a significantly improved overall survival (OS). Gene set enrichment analysis (GSEA) was conducted to investigate the functions that correlated with different CC subtypes. GSEA indicated that the hallmarks of tumors, including KRAS signaling, TNFα signaling via NF-κB, inflammatory response, epithelial-mesenchymal transition, and interferon-gamma response, were enriched in Methylation-M and Methylation-L. Based on mutation and copy number variation analyses, we found that aberrant mutations, amplifications, and deletions among the MYC, Notch, PI3K-AKT, and RTK-RAS pathways were most frequently detected in Methylation-H. Additionally, mutations, amplifications, and deletions within the Hippo, PI3K-AKT, and TGF-β pathways were presented in Methylation-M. Genes within the cell cycle, Notch, and Hippo pathways possessed aberrant mutations, amplifications, and deletions in Methylation-L. Moreover, the analysis of tumor microenvironments revealed that Methylation-H was characterized by a relatively low degree of immune cell infiltration. Finally, a prognostic signature based on six HPV-related methylation sites was developed and validated. Our study revealed that CC patients could be classified into three heterogeneous clusters based on HPV-related methylation signatures. Additionally, we derived a prognostic signature using six HPV-related methylation sites that stratified the OS of patients with CC into high- and low-risk groups.

Dataset Information

Age-Structured Population Modeling of HPV-related Cervical Cancer in Texas and US.

Publications

Age-Structured Population Modeling of HPV-related Cervical Cancer in Texas and US.

Similar Datasets

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