Bioengineered · 2021 · 37 citations · 28 references
MedicineBioinformaticsOncologyMetastasisTumor MicroenvironmentTumor ProgressionCancer Cell SignalingCancer TranscriptomicsCellular Responses To HypoxiaHypoxia AdaptationNeutrophil BiologyEnrichment AnalysisHypoxiaHypoxia-induced Gene ExpressionTranscriptome AnalysisTumor Cell Invasion Under HypoxiaTumor Immune Cell InfiltrationTumor Microenvironment HypoxiaTumor-associated Neutrophils
Hypoxia, a strong and selective pressure, has been involved in invasion, metastasis, and angiogenesis of tumor cells. Our study performed the transcriptome profiles of 666 non-small-cell lung cancer (NSCLC) patients. Various bioinformatic approaches were combined to evaluate the immune cell infiltration in the high hypoxia risk patients. In addition, in vitro experiments were performed to assess the effects of tumor-associated neutrophils (TANs) on NSCLC cells proliferation, migration and invasion and to reveal the underlying mechanisms. We divided NSCLC into two groups (Cluster1/2) based on the expression profiles of hypoxia-associated genes. Compared with the Cluster1 subgroup, the Cluster2 had a worse prognosis. Significant enrichment analysis revealed that PI3K/AKT/mTOR signaling pathway and TANs were highly related to hypoxia microenvironment. Eleven hypoxia-related genes (FBP1, NDST2, ADM, LDHA, DDIT4, EXT1, BCAN, IGFBP1, PDGFB, AKAP12, and CDKN3) were scored by LASSO COX regression to yield risk scores, and we revealed a significant difference in overall survival (OS) between the low- and high-risk groups. Mechanistically, CXCL6 in hypoxic cancer cells promoted the migration of TANs in vitro, and in turn promote NSCLC cells proliferation, migration and invasion. In summary, this study revealed a 11-hypoxia gene signature that predicted OS of NSCLC patients, and improved our understanding of the role of TANs in hypoxia microenvironment.
28
Rebecca L. Siegel, Kimberly D. Miller, Ahmedin Jemal · CA A Cancer Journal for Clinicians · 2018 · 17K citations · Full text
Robust enumeration of cell subsets from tissue expression profiles
Aaron M. Newman, Chih Long Liu, Michael R. Green et al. · Nature Methods · 2015 · 14.1K citations · Full text
xCell: digitally portraying the tissue cellular heterogeneity landscape
Dvir Aran, Zicheng Hu, Atul J. Butte · Genome biology · 2017 · 4.7K citations · Full text
Polarization of Tumor-Associated Neutrophil Phenotype by TGF-β: “N1” versus “N2” TAN
Zvi G. Fridlender, Jing Sun, Samuel Kim et al. · Cancer Cell · 2009 · 3.3K citations · Full text
Medicine, Immunology, Oncology +12