Analysis of genetic variants and lung cancer risk and prognosis
Principal Investigator
Name
Qingyi Wei
Degrees
M.D., Ph.D.
Institution
Duke Cancer Institute
Position Title
Prof.
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-95
Initial CDAS Request Approval
Jul 17, 2014
Title
Analysis of genetic variants and lung cancer risk and prognosis
Summary
The purpose of the study is to identify novel genetic factors and confirm putative genes associated with lung cancer risk, clinical features and survival. We previously have performed lung cancer GWAS analysis and reported multiple genetic variants associated with lung cancer risk. However, these GWAS-level significant single nucleotide polymorphisms (SNPs) explain only a small proportion of heritable lung cancer risk. Multiple approaches for secondary analysis GWAS datasets have been proposed and supposed to identify additional novel variant with moderate but measurable effects, thereby extend our knowledge about molecular mechanisms of lung cancer etiology. In this project, we will firstly perform single-locus analysis, epistasis analysis, gene-environment interaction analysis and set-based analysis to prioritize associated genes and pathways using the PLCO data and other GWAS data. Considering the detailed clinical information available in PLCO, we will also explore the associations between genetic variants, clinical features, treatment regimen and prognosis of lung cancer. These data will also be used to follow-up the findings from other candidate pathway analysis.
Aims
1. Identify multiple genetic variants associated with lung cancer risk, clinical features and prognosis in the PLCO data. We will also use the PLCO data to validate the findings from our study.
2. Identify genes and pathways associated with lung cancer risk and clinical features by performing set-based analysis in the PLCO data.
3. Develop risk prediction and prognostic models for lung cancer using genetic variables and clinical variables.
Related Publications
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Genetic variants in DDO and PEX5L in peroxisome-related pathways predict non-small cell lung cancer survival.
Chen AS, Liu H, Wu Y, Luo S, Patz EF, Glass C, Su L, Du M, Christiani DC, Wei Q
Mol Carcinog. 2022 May 3 PUBMED -
Genetic Variants of CLEC4E and BIRC3 in Damage-Associated Molecular Patterns-Related Pathway Genes Predict Non-Small Cell Lung Cancer Survival.
Liu L, Liu H, Luo S, Patz EF, Glass C, Su L, Lin L, Christiani DC, Wei Q
Front Oncol. 2021; Volume 11: Pages 717109 PUBMED -
Genetic Variants of CLPP and M1AP Are Associated With Risk of Non-Small Cell Lung Cancer.
Li X, Zou Y, Li T, Wong TKF, Bushey RT, Campa MJ, Gottlin EB, Liu H, Wei Q, Rodrigo A, Patz EF
Front Oncol. 2021; Volume 11: Pages 709829 PUBMED -
Genetic variants of DOCK2, EPHB1 and VAV2 in the natural killer cell-related pathway are associated with non-small cell lung cancer survival.
Du H, Liu L, Liu H, Luo S, Patz EF, Glass C, Su L, Du M, Christiani DC, Wei Q
Am J Cancer Res. 2021; Volume 11 (Issue 5): Pages 2264-2277 PUBMED -
Potentially functional variants of HBEGF and ITPR3 in GnRH signaling pathway genes predict survival of non-small cell lung cancer patients.
Wu Y, Liu Z, Tang D, Liu H, Luo S, Stinchcombe TE, Glass C, Su L, Lin L, Christiani DC, Wang Q, Wei Q
Transl Res. 2021 Jul; Volume 233: Pages 92-103 PUBMED -
Genetic variants of BIRC3 and NRG1 in the NLRP3 inflammasome pathway are associated with non-small cell lung cancer survival.
Tang D, Liu H, Zhao Y, Qian D, Luo S, Patz EF, Su L, Shen S, ChristianI DC, Gao W, Wei Q
Am J Cancer Res. 2020; Volume 10 (Issue 8): Pages 2582-2595 PUBMED -
Novel genetic variants of KIR3DL2 and PVR involved in immunoregulatory interactions are associated with non-small cell lung cancer survival.
Wu Y, Yang S, Liu H, Luo S, Stinchcombe TE, Glass C, Su L, Shen S, Christiani DC, Wang Q, Wei Q
Am J Cancer Res. 2020; Volume 10 (Issue 6): Pages 1770-1784 PUBMED -
Novel genetic variants of SYK and ITGA1 related lymphangiogenesis signaling pathway predict non-small cell lung cancer survival.
Liu L, Liu H, Luo S, Patz EF, Glass C, Su L, Lin L, Christiani DC, Wei Q
Am J Cancer Res. 2020; Volume 10 (Issue 8): Pages 2603-2616 PUBMED -
Potentially functional genetic variants in PLIN2, SULT2A1 and UGT1A9 genes of the ketone pathway and survival of nonsmall cell lung cancer.
Tang D, Zhao YC, Liu H, Luo S, Clarke JM, Glass C, Su L, Shen S, Christiani DC, Gao W, Wei Q
Int J Cancer. 2020 Sep 15; Volume 147 (Issue 6): Pages 1559-1570 PUBMED -
Novel Variants of ELP2 and PIAS1 in the Interferon Gamma Signaling Pathway Are Associated with Non-Small Cell Lung Cancer Survival.
Zhao YC, Tang D, Yang S, Liu H, Luo S, Stinchcombe TE, Glass C, Su L, Shen S, Christiani DC, Wei Q
Cancer Epidemiol Biomarkers Prev. 2020 Aug; Volume 29 (Issue 8): Pages 1679-1688 PUBMED -
Novel genetic variants in KIF16B and NEDD4L in the endosome-related genes are associated with nonsmall cell lung cancer survival.
Yang S, Tang D, Zhao YC, Liu H, Luo S, Stinchcombe TE, Glass C, Su L, Shen S, Christiani DC, Wang Q, Wei Q
Int. J. Cancer. 2020 Jul 15; Volume 147 (Issue 2): Pages 392-403 PUBMED -
Novel genetic variants in genes of the Fc gamma receptor-mediated phagocytosis pathway predict non-small cell lung cancer survival.
Qian D, Liu H, Zhao L, Wang X, Luo S, Moorman PG, Patz EF, Su L, Shen S, Christiani DC, Wei Q
Transl Lung Cancer Res. 2020 Jun; Volume 9 (Issue 3): Pages 575-586 PUBMED -
Potentially functional genetic variants in the TNF/TNFR signaling pathway genes predict survival of patients with non-small cell lung cancer in the PLCO cancer screening trial.
Guo Y, Feng Y, Liu H, Luo S, Clarke JW, Moorman PG, Su L, Shen S, Christiani DC, Wei Q
Mol Carcinog. 2019 Jul; Volume 58 (Issue 7): Pages 1094-1104 PUBMED -
Potentially functional genetic variants in the complement-related immunity gene-set are associated with non-small cell lung cancer survival.
Qian D, Liu H, Wang X, Ge J, Luo S, Patz EF, Moorman PG, Su L, Shen S, Christiani DC, Wei Q
Int J Cancer. 2019 Apr 15; Volume 144 (Issue 8): Pages 1867-1876 PUBMED