ArticleGenome medicine2018
Weak sharing of genetic association signals in three lung cancer subtypes: evidence at the SNP, gene, regulation, and pathway levels.
Article in Genome medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
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- Persistent lineage plasticity driving lung cancer development and progression.Clinical and translational medicine · 2025Review
- Dietary pattern and odds of lung cancer: a large case-control study in Iran.BMC nutrition · 2025Article
- Genetic Regulation of Alternative Polyadenylation Provides Novel Insights into Molecular Mechanisms Underlying Non-small Cell Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Characterization of hypoxia-related molecular clusters and prognostic riskScore for glioma.Frontiers in oncology · 2025Article
- Alterations of mannosylated glycopatterns recognized by Hippeastrum hybrid lectin in saliva of patients with lung cancer.Clinical oral investigations · 2024Article
- Therapeutic targets for lung cancer: genome-wide Mendelian randomization and colocalization analyses.Frontiers in pharmacology · 2024Article
- Prognostic and immunological potential of PPM1G in lung adenocarcinoma.Molecular medicine reports · 2023Article
- Sec61γ is a vital protein in the endoplasmic reticulum membrane promoting tumor metastasis and invasion in lung adenocarcinoma.British journal of cancer · 2023Article
- Identification of WD-Repeat Protein 72 as a Novel Prognostic Biomarker in Non-Small-Cell Lung Cancer.Mediators of inflammation · 2023Article
- Association between dietary approaches to stop hypertension eating pattern and lung cancer risk in 98,459 participants: results from a large prospective study.Frontiers in nutrition · 2023Article
- Identification of key pathways, genes and immune cell infiltration in hypoxia of high-altitude acclimatizationFrontiers in genetics · 2023Article
- Identification of lung adenocarcinoma subtypes and predictive signature for prognosis, immune features, and immunotherapy based on immune checkpoint genes.Frontiers in cell and developmental biology · 2023Article
- Integrating whole genome sequencing, methylation, gene expression, topological associated domain information in regulatory mutation prediction: A study of follicular lymphoma.Computational and structural biotechnology journal · 2022Article
- A comprehensive analysis of SNPs and CNVs identifies novel markers associated with disease outcomes in colorectal cancer.Molecular oncology · 2021Article
- DeepFun: a deep learning sequence-based model to decipher non-coding variant effect in a tissue- and cell type-specific manner.Nucleic acids research · 2021Article
- Association ofTranslational pediatrics · 2021Article
- A multi-omics study links TNS3 and SEPT7 to long-term former smoking NSCLC survival.NPJ precision oncology · 2021Article
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5 authors.
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Abstract
backgroundThere are two main types of lung cancer: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). NSCLC has many subtypes, but the two most common are lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). These subtypes are mainly classified by physiological and pathological characteristics, although there is increasing evidence of genetic and molecular differences as well. Although some work has been done at the somatic level to explore the genetic and biological differences among subtypes, little work has been done that interrogates these differences at the germline level to characterize the unique and shared susceptibility genes for each subtype.
methodsWe used single-nucleotide polymorphisms (SNPs) from a genome-wide association study (GWAS) of European samples to interrogate the similarity of the subtypes at the SNP, gene, pathway, and regulatory levels. We expanded these genotyped SNPs to include all SNPs in linkage disequilibrium (LD) using data from the 1000 Genomes Project. We mapped these SNPs to several lung tissue expression quantitative trait loci (eQTL) and enhancer datasets to identify regulatory SNPs and their target genes. We used these genes to perform a biological pathway analysis for each subtype.
resultsWe identified 8295, 8734, and 8361 SNPs with moderate association signals for LUAD, LUSC, and SCLC, respectively. Those SNPs had p < 1 × 10
conclusionsOur results suggest that the three lung cancer subtypes do not share much genetic signal at the SNP, gene, pathway, or regulatory level, which differs from the common subtype classification based upon histology. However, three (CHRNA5, IDH3A, and PSMA4) of the five genes shared between the subtypes are well-known lung cancer genes that may act as general lung cancer genes regardless of subtype.
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