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Epigenome‐wide three‐way interaction study identifies a complex pattern betweenTRIM27,KIAA0226, and smoking associated with overall survival of early‐stage NSCLC

Authors: Xinyu Ji; Lijuan Lin; Juanjuan Fan; Yi Li; Yongyue Wei; Sipeng Shen; Li Su; +10 Authors

Epigenome‐wide three‐way interaction study identifies a complex pattern betweenTRIM27,KIAA0226, and smoking associated with overall survival of early‐stage NSCLC

Abstract

The interaction between DNA methylation of tripartite motif containing 27 (cg05293407TRIM27) and smoking has previously been identified to reveal histologically heterogeneous effects ofTRIM27DNA methylation on early‐stage non‐small‐cell lung cancer (NSCLC) survival. However, to understand the complex mechanisms underlying NSCLC progression, we searched three‐way interactions. A two‐phase study was adopted to identify three‐way interactions in the form of pack‐year of smoking (number of cigarettes smoked per day × number of years smoked) × cg05293407TRIM27 × epigenome‐wide DNA methylation CpG probe. Two CpG probes were identified with FDR‐q ≤ 0.05 in the discovery phase andP ≤ 0.05 in the validation phase: cg00060500KIAA0226and cg17479956EXT2. Compared to a prediction model with only clinical information, the model added 42 significant three‐way interactions using a looser criterion (discovery: FDR‐q ≤ 0.10, validation:P ≤ 0.05) had substantially improved the area under the receiver operating characteristic curve (AUC) of the prognostic prediction model for both 3‐year and 5‐year survival. Our research identified the complex interaction effects among multiple environment and epigenetic factors, and provided therapeutic target for NSCLC patients.

Keywords

Lung Neoplasms, Carcinogenesis, overall survival, ADN, 610, Autophagy-Related Proteins, prognostic prediction, Epigenesis, Genetic, Epigènesi, Epigenome, three‐way interaction, Autofàgia, Carcinoma, Non-Small-Cell Lung, three-way interaction, Autophagy, Humans, Carcinogènesi, non‐small‐cell lung cancer, RC254-282, Research Articles, DNA methylation, Smoking, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Nuclear Proteins, DNA, DNA Methylation, DNA-Binding Proteins, non-small-cell lung cancer, CpG Islands, Epigenesis, Genome-Wide Association Study

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
gold