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pmid:39697746
Postexercise downregulation of NUP155 in regulating non-small cell lung cancer progression via the PTEN/AKT signaling pathway.
Jiangang Xu · Liyin Zhang · Menghui Feng · Weijun Hong · Xinming Ye
Translational cancer research · 2024 doi:10.21037/tcr-24-1619
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Experiment
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Data
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Complete file
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This study investigated the role of an exercise-related gene, NUP155, in the progression of non-small cell lung cancer (NSCLC) and its potential as therapy target.\nMethods: Using the GSE41914 dataset, which includes data related to exercise, and the Cancer Genome Atlas (TCGA)-NSCLC dataset, we identified differentially expressed genes (DEGs) and selected NUP155 as a hub gene for further analysis. NUP155 expression levels were measured in NSCLC cell lines and normal lung cells using in vitro assays. The functional roles of NUP155 were investigated through small interfering RNA (siRNA) knockdown experiments, assessing effects on migration, cell proliferation, invasion, and apoptosis. The involvement of the PTEN/AKT signaling pathway was examined using the PTEN inhibitor SF1670.\nResults: NUP155 was downregulated in postexercise samples and upregulated in NSCLC samples, indicating its association with poor prognosis in NSCLC. Knockdown of NUP155 in NSCLC cell lines resulted in reduced cell viability, migration, and invasion, alongside increased apoptosis. Western blotting revealed that NUP155 knockdown upregulated PTEN levels and downregulated phosphorylated AKT (p-AKT), without altering total AKT levels. The addition of SF1670 partially reversed the effects of NUP155 knockdown, indicating the involvement of the signaling pathway PTEN/AKT in NUP155-mediated tumorigenesis.\nConclusions: NUP155 is upregulated in NSCLC, which promotes cell invasion and migration via the PTEN/AKT signaling pathway. Targeting NUP155, potentially influenced by exercise, could be a promising therapy. Combining exercise with targeted treatments may enhance patient outcomes.", "claims": [{"id": "claim-method", "statement": "These two datasets were employed to determine differentially expressed genes (DEGs) via the “Limma” package in version 3.42.2 (The R Foundation for Statistical Computing).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39697746", "locator": "sections[5] \"Differential expression analysis of relevant datasets\" paragraph 2", "quote": "These two datasets were employed to determine differentially expressed genes (DEGs) via the “Limma” package in version 3.42.2 (The R Foundation for Statistical Computing)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Available at https://tcr.amegroups.com/article/view/10.21037/tcr-24-1619/dss\n10.21037/tcr-24-1619", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39697746", "locator": "sections[28] \"Data Sharing Statement\" paragraphs 1-3", "quote": "Available at https://tcr.amegroups.com/article/view/10.21037/tcr-24-1619/dss\n10.21037/tcr-24-1619"}], "state": "complete"}, {"id": "claim-target-result", "statement": "A total of 589 upregulated DEGs and 299 downregulated DEGs were identified between pre-exercise and postexercise samples from the GSE41914 dataset, alongside 4,571 upregulated DEGs and 4,223 downregulated DEGs between the TCGA-NSCLC dataset’s tumor and normal samples (Figure 1A,1B).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39697746", "locator": "sections[16] \"A high expression of exercise-related gene NUP155 in NSCLC was associated with poor prognosis\" paragraph 2", "quote": "A total of 589 upregulated DEGs and 299 downregulated DEGs were identified between pre-exercise and postexercise samples from the GSE41914 dataset, alongside 4,571 upregulated DEGs and 4,223 downregulated DEGs between the TCGA-NSCLC dataset’s tumor and normal samples (Figure 1A,1B)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A total of 589 upregulated DEGs and 299 downregulated DEGs were identified between pre-exercise and postexercise samples from the GSE41914 dataset, alongside 4,571 upregulated DEGs and 4,223 downregulated DEGs between the TCGA-NSCLC dataset’s tumor and normal samples (Figure 1A,1B).", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:39697746"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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