ArticleMolecular oncology2019
A 17 gene panel for non-small-cell lung cancer prognosis identified through integrative epigenomic-transcriptomic analyses of hypoxia-induced epithelial-mesenchymal transition.
Article in Molecular oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Pooled it
- Review
- Defining hypoxia in cancer: A landmark evaluation of hypoxia gene expression signatures.Cell genomics · 2025Article
- Expression Profiles of Hypoxia-Related Genes of Cancers Originating from Anatomically Similar Locations Using TCGA Database Analysis.Medicines (Basel, Switzerland) · 2023Article
- Combination of tumor asphericity and an extracellular matrix-related prognostic gene signature in non-small cell lung cancer patients.Scientific reports · 2023Article
- Cell-free chromatin immunoprecipitation can determine tumor gene expression in lung cancer patients.Molecular oncology · 2023Article
- An effective prognostic model for assessing prognosis of non-small cell lung cancer with brain metastases.Frontiers in genetics · 2023Article
- Article
- Data analysis methods for defining biomarkers from omics data.Analytical and bioanalytical chemistry · 2022Review
- Neutrophils correlate with hypoxia microenvironment and promote progression of non-small-cell lung cancer.Bioengineered · 2021Article
- Global mapping of cancers: The Cancer Genome Atlas and beyond.Molecular oncology · 2021Review
- Review
- Article
- Hyperbaric Oxygen Therapy Represses the Warburg Effect and Epithelial-Mesenchymal Transition in Hypoxic NSCLC CellsFrontiers in oncology · 2021Article
- Emerging data supporting stromal cell therapeutic potential in cancer: reprogramming stromal cells of the tumor microenvironment for anti-cancer effects.Cancer biology & medicine · 2020Review
- ISG15 induces ESRP1 to inhibit lung adenocarcinoma progression.Cell death & disease · 2020Article
- AllEnricher: a comprehensive gene set function enrichment tool for both model and non-model species.BMC bioinformatics · 2020Article
- Tumor Microenvironment Uses a Reversible Reprogramming of Mesenchymal Stromal Cells to Mediate Pro-tumorigenic Effects.Frontiers in cell and developmental biology · 2020Review
- SOX9 promotes epithelial-mesenchymal transition via the Hippo-YAP signaling pathway in gastric carcinoma cells.Oncology letters · 2019Article
- A Six-Gene Signature Predicts Survival of Adenocarcinoma Type of Non-Small-Cell Lung Cancer Patients: A Comprehensive Study Based on Integrated Analysis and Weighted Gene Coexpression Network.BioMed research international · 2019Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a critical feature of the tumor microenvironment, hypoxia is known to be a potent inducer of tumor metastasis, and it has been proposed that the initial steps in metastasis involve epithelial-mesenchymal transition (EMT). The strong correlation among hypoxia, EMT, and metastasis suggests that integrative assessment of gene expression and the DNA modification program of hypoxia-induced EMT via high-throughput sequencing technologies may increase our understanding of the molecular basis of tumor invasion and metastasis. Here, we present the genomewide transcriptional and epigenetic profiles of non-small-cell lung cancer (NSCLC) cells under normoxic and hypoxic conditions. We demonstrate that hypoxia induces EMT along with dynamic alterations of transcriptional expression and epigenetic modifications in both A549 and HCC827 cells. After training using a dataset from patients with invasive and noninvasive lung adenocarcinomas with an artificial neural network algorithm, a characteristic 17-gene panel was identified, consisting of genes involved in EMT, hypoxia response, glycometabolism, and epigenetic modifications. This 17-gene signature clearly stratified NSCLC patients with significant differences in overall survival across three independent datasets. Our study may be suitable as a basis for further selection of gene signatures to potentially guide prognostic stratification in patients with NSCLC.
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