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Grant Details

Grant Number: 5R21CA224026-02 Interpret this number
Primary Investigator: Sun, Wei
Organization: Fred Hutchinson Cancer Research Center
Project Title: Estimation and Association Analysis of Biomarkers for Tumor Immune Microenvironment
Fiscal Year: 2019
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Project Summary Molecular features derived from tumor samples (e.g., somatic mutations, gene expression, or DNA methylation) can be very useful biomarkers for epidemiology studies. Recent success of immunotherapy demonstrated that tumor immune microenvironment plays a crucial role for tumor growth and inhibition. Therefore, biomarkers derived from tumor immune microenvironment are great additions to many large epidemiology studies that have access to tumor samples. In this project, we propose to develop a set of statistical methods and computational tools to study biomarkers in tumor immune microenvironment, and as a demonstration, apply them to analyze the omic data from The Cancer Genome Atlas (TCGA). Specifically, we will estimate immune cell composition in the TCGA samples using gene expression and/or DNA methylation data, which can be collected from either fresh frozen or formalin-fixed paraffin-embedded (FFPE) samples. Next we will use immune cell composition to construct prognostic signatures of patient survival time. Our methods and software packages will provide important resources that will enable new epidemiology studies, such as association of immune features with environmental/genetic factors, or cancer risk prediction for cancer subtypes defined/refined by immune biomarkers.

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Joint analysis of single-cell and bulk tissue sequencing data to infer intratumor heterogeneity.
Authors: Sun W. , Jin C. , Gelfond J.A. , Chen M.H. , Ibrahim J.G. .
Source: Biometrics, 2019-12-07; , .
EPub date: 2019-12-07.
PMID: 31813161
Related Citations

Associating somatic mutations to clinical outcomes: a pan-cancer study of survival time.
Authors: Little P. , Lin D.Y. , Sun W. .
Source: Genome medicine, 2019-05-28; 11(1), p. 37.
EPub date: 2019-05-28.
PMID: 31138328
Related Citations

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