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pmid:39247591
Identification and Validation of MYADM as a Novel Prognostic Marker Related to EMT in ESCC.
Qiuxing Yang · Bo Cai · Shudong Zhu · Guomei Tai · Aiguo Shen
Journal of Cancer · 2024 doi:10.7150/jca.88767
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Experiment
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Complete file
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Based on the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases in R language, the myeloid-associated differentiation marker (MYADM) was confirmed using bioinformatics analysis and experimental verification. MYADM is upregulated in multiple cancer types; however, the oncogenic mechanism by which MYADM promotes ESCC remains largely unknown. Methods: In the present study, we used weighted gene coexpression network analysis to filter four hub genes (AKAP12, ITGA1, JAM2, and MYADM) in GSE45670 and GSE23400 that are related to the malignant progression of ESCC. Transcription factors and target miRNAs of the hub genes were predicted using the TarBase and JASPRAR databases, respectively, and a regulatory network was established. MYADM was selected based on the analysis of expression differences and prognostic value in ESCC. Next, we confirmed the level of MYADM in ESCC samples using immunohistochemistry of the tissue microarray. The molecular mechanisms of MYADM were further elucidated by experimental analyses, including Transwell assays, wound healing assays, and CCK8. Results: The correlation between MYADM levels and the clinical data of patients with ESCC was confirmed, including tumor differentiation, the node and metastasis stage, T stage, lymphatic metastasis, and postoperative distant metastasis. MYADM was significantly upregulated in ESCC and positively correlated with overall survival. MYADM induced cell proliferation, migration, invasion, and wound healing via the epithelial to mesenchymal transition (EMT) pathway in multiple experiments. Moreover, our results supported the hypothesis that MYADM promotes EMT during paclitaxel resistance. Conclusion: MYADM is closely correlated with ESCC progression, metastasis, and paclitaxel resistance and could be regarded as a novel biomarker and therapeutic target for ESCC patients.", "claims": [{"id": "claim-method", "statement": "WGCNA was performed to identify modules of highly correlated genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39247591", "locator": "sections[17] \"Identification of hub VRmRNAs\" paragraph 2", "quote": "WGCNA was performed to identify modules of highly correlated genes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All datasets included in this study are available online to the public.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39247591", "locator": "sections[3] \"Datasets and data preprocessing\" paragraph 2", "quote": "All datasets included in this study are available online to the public."}], "state": "complete"}, {"id": "claim-target-result", "statement": "MYADM is closely correlated with ESCC progression, metastasis, and paclitaxel resistance and could be regarded as a novel biomarker and therapeutic target for ESCC patients.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39247591", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "MYADM is closely correlated with ESCC progression, metastasis, and paclitaxel resistance and could be regarded as a novel biomarker and therapeutic target for ESCC patients."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "MYADM is closely correlated with ESCC progression, metastasis, and paclitaxel resistance and could be regarded as a novel biomarker and therapeutic target for ESCC patients.", "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:39247591"], "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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