ArticleCancer biomarkers : section A of Disease markers2022
Differential gene expression analysis for osteosarcoma lung metastases.
Article in Cancer biomarkers : section A of Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 5 citations in OpenAlex.
- Shared genetic regulators and diagnostic biomarkers in gallbladder stone and cholangiocarcinoma: A comprehensive comparative transcriptomic analysis.Translational oncology · 2026Article
- Effects of cisplatin, paclitaxel combined with high-dose methotrexate as adjuvant therapy on survival rates in osteosarcoma patients, and analysis of influencing factors.American journal of cancer research · 2025Article
- Integrated analysis of anti-tumor roles of BAP1 in osteosarcoma.Frontiers in oncology · 2022Article
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4 authors.
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Abstract
purposeTo explore the exact molecular mechanisms underline osteosarcoma (OS) patients with lung metastases.
methodsThe differentially expressed gene (DEG) as well as differentially expressed miRNAs (DEMs) for OS lung metastases were deeply investigated with two independent sources of databases (GEO dataset and clinical participants); The enriched biological processes and signaling pathways were explored; the miRNAs-mRNAs network was constructed; the functions of potential DEGs and DEMs were also verified with external analysis.
resultsThe OS patients with lung metastases displayed 323 DEGs as C-C motif chemokine ligand 3 (CCL3), sorting nexin 10 (SNX10), alpha-2-macroglobulin (A2M), carboxypeptidase E (CPE), Rap guanine nucleotide exchange factor 4 (RAPGEF4), PDZ domain containing 2 (PDZD2), calpain 10 (CAPN10), four and a half LIM domains 2 (FHL2), alkaline phosphatase, biomineralization associated (ALPL), interleukin 6 (IL6), solute carrier family 26 member 1 (SLC26A1) as well as smoothened, frizzled class receptor (SMO) were significant differentially expressed. At the same time, 21 DEMs were potential for the progress of OS lung metastasis with hsa-miR-638, hsa-miR-451, hsa-miR-486-5p, hsa-miR-134 and hsa-miR-648 were significant distinct. It could been shown that hsa-miR-638 manipulated the largest number of target genes. The functions of hsa-miR-638 and target mRNAs for the development of lung metastasis in OS could be confirmed by quantitative Real-time PCR analysis.
conclusionThis integrated study hypothesized several miRNA dependent signaling pathway for OS patients with lung metastases and initiated a potential strategy for better understanding the lung metastases in clinic.
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