ArticleFrontiers in oncology2021
Programmed Death Ligand 2 Gene Polymorphisms Are Associated With Lung Adenocarcinoma Risk in Female Never-Smokers.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Genomic insights on lung cancer risk: identifying new variants in Amazonian indigenous populations.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- MiRNA and Potential Prognostic Value in Non-Smoking Females with Lung Adenocarcinoma by High-Throughput Sequencing.International journal of general medicine · 2023Article
- Evolutionary Origins of Metabolic Reprogramming in Cancer.International journal of molecular sciences · 2022Review
- The relationship between previous pulmonary tuberculosis and risk of lung cancer in the future.Infectious agents and cancer · 2022Review
- Lung cancer in never smokers: Tumor immunology and challenges for immunotherapy.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
18 authors at 9 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesLung cancer in never-smokers is a distinct disease associated with a different genomic landscape, pathogenesis, risk factors, and immune checkpoint inhibitor responses compared to those observed in smokers. This study aimed to identify novel single nucleotide polymorphisms (SNPs) of programmed death-1 (encoded by MATERIALS AND
methodsDuring September 2002 and July 2012, we enrolled never-smoking female patients with lung adenocarcinoma (LUAD) (n=1153) and healthy women (n=1022) from six tertiary hospitals in Taiwan. SNP data were obtained and analyzed from the genome-wide association study dataset and through an imputation method. The expression quantitative trait loci (eQTL) analysis was performed in both tumor and non-tumor tissues for the correlation between genetic expression and identified SNPs.
resultsA total of 12
conclusionsNovel SNPs of programed death ligand 2 associated with lung adenocarcinoma risk were identified. Among them, two SNPs were associated with pulmonary tuberculosis infection in relation to lung adenocarcinoma susceptibility. These SNPs may help to stratify high-risk populations of never-smokers during lung cancer screening.
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