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Cancer Investigation Volume 38, 2020 - Issue 8-9
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Articles

DNA Methylation and Gene Expression with Clinical Covariates Explain Variation in Aggressiveness and Survival of Pancreatic Cancer Patients

Shyamali Mukerjeea Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9283-363XView further author information
ORCID Icon,
Agustin Gonzalez-Reymundeza Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA;b Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USAView further author information
,
Sophia Y. Luntc Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, USA;d Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, Michigan, USAView further author information
&
Ana I. Vazqueza Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA;b Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USACorrespondence[email protected]
View further author information
Pages 502-506 | Received 23 Mar 2019, Accepted 16 Aug 2020, Published online: 16 Sep 2020

Figures & data

Figure 1. The percentage of interindividual variability in nodal involvement, cancer stage, and survival time among PC patients from TCGA and ICGC cohorts. The contribution of each random term (UMETH = methylation effects, UGE = gene expression, ε = model residual) to the interindividual variance for each response is shown. ε was fixed to 1 since Tumor Staging and Nodal Involvement were treated as multi-threshold probit responses.

Figure 1. The percentage of interindividual variability in nodal involvement, cancer stage, and survival time among PC patients from TCGA and ICGC cohorts. The contribution of each random term (UMETH = methylation effects, UGE = gene expression, ε = model residual) to the interindividual variance for each response is shown. ε was fixed to 1 since Tumor Staging and Nodal Involvement were treated as multi-threshold probit responses.

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