ArticleOncology letters2019
Differential expression and functional analysis of lung cancer gene expression datasets: A systems biology perspective.
Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Candidate Regulatory Relationship and Expression Correlation Between miR-33a-5p and ANK3 in Chronic Myeloid Leukemia.Current issues in molecular biology · 2026Article
- Identification of a Novel miR-122-5p/CDC25A Axis and Potential Therapeutic Targets for Chronic Myeloid Leukemia.International journal of molecular sciences · 2025Article
- Expression Analysis, Diagnostic Significance and Biological Functions of BAG4 in Acute Myeloid Leukemia.Medicina (Kaunas, Lithuania) · 2025Article
- Lung Models to Evaluate Silver Nanoparticles' Toxicity and Their Impact on Human Health.Nanomaterials (Basel, Switzerland) · 2022Review
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is an inherent need to identify differentially expressed genes (DEGs), characterize these genes and provide functional enrichment analysis to the publicly available lung cancer datasets, primarily coming from next-generation sequencing data or microarray gene expression studies. The risk of lung cancer in patients with smokers is manifold, and with chronic obstructive pulmonary disease (COPD) it is 2- to 5-fold greater, compared with smokers without COPD. In the present study, differential expression analysis and gene functional enrichment analysis of lung cancer gene expression datasets obtained from NCBI-GEO were performed. The result identifies a significant number of DEGs which have at least a 2-fold change in their expression. Among them, six genes were found to have a 4-fold change in the expression level, and 47 genes exhibited a 3-fold change in the expression. It was also observed that most of the genes were upregulated and few genes were downregulated.
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