ArticleMedical science monitor : international medical journal of experimental and clinical research2020
Secreted Phosphoprotein 1 (SPP1) and Fibronectin 1 (FN1) Are Associated with Progression and Prognosis of Esophageal Cancer as Identified by Integrated Expression Profiles Analysis.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 17 citations in OpenAlex.
- Advances in multi-omics for esophageal squamous cell carcinoma: diagnostic, prognostic, and therapeutic perspectives.Protein & cell · 2026Review
- The crucial role of SPP1 in osteoporosis, osteoarthritis, and cancer.Pharmaceutical science advances · 2025Review
- Spatial transcriptomics reveals prognostically LYZCancer immunology, immunotherapy : CII · 2025Article
- Advances of aptamers in esophageal cancer diagnosis, treatment and drug delivery.Beilstein journal of nanotechnology · 2025Review
- SPP1 promotes tumor progression in esophageal carcinoma by activating focal adhesion pathway.Journal of gastrointestinal oncology · 2024Article
- Immune cell related signature predicts prognosis in esophageal squamous cell carcinoma based on single-cell and bulk-RNA sequencing.Frontiers in oncology · 2024Article
- SHFM1 deficiency suppresses esophageal squamous cell carcinomas progression via modulating NF‑κB signaling and enhancing nature killer cell‑mediated tumor surveillance.Experimental and therapeutic medicine · 2023Article
- LowJournal of Cancer · 2023Article
- SPP1 promotes radiation resistance through JAK2/STAT3 pathway in esophageal carcinoma.Cancer medicine · 2022Article
- Three-Dimensional Growth of Prostate Cancer Cells Exposed to Simulated Microgravity.Frontiers in cell and developmental biology · 2022Article
- Comprehensive Analysis of Histone Modifications in Hepatocellular Carcinoma Reveals Different Subtypes and Key Prognostic Models.Journal of oncology · 2022Article
- The Overexpression of Fibronectin 1 Promotes Cancer Progression and Associated with M2 Macrophages Polarization in Head and Neck Squamous Cell Carcinoma Patients.International journal of general medicine · 2022Article
- Identification of Key Genes and Pathways Associated With Paclitaxel Resistance in Esophageal Squamous Cell Carcinoma Based on Bioinformatics Analysis.Frontiers in genetics · 2021Article
- Meta-Analysis of Esophageal Cancer Transcriptomes Using Independent Component Analysis.Frontiers in genetics · 2021Article
- mFrontiers in molecular biosciences · 2020Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Esophageal cancer is a malignant tumor with a complex pathogenesis and a poor 5-year survival rate, which encourages researchers to explore its molecular mechanisms deeper to improve the prognosis. MATERIAL AND METHODS DEGs were from 4 Gene Expression Omnibus (GEO) databases (GSE92396, GSE20347, GSE23400, and GSE45168) including 87 esophageal tumor samples and 84 normal samples. We performed Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Protein-Protein interaction (PPI) analysis, and GeneMANIA to identify the DEGs. Gene set enrichment analysis (GSEA) and Kaplan-Meier survival analyses were performed. RESULTS There was an overlapping subset consisting of 120 DEGs that was present in all esophageal tumor samples. The DEGs were enriched in extracellular matrix (ECM)-receptor interaction, as well as focal adhesion and transcriptional mis-regulation in cancer. The 2 most crucial regulatory pathways in esophageal cancer were the amebiasis pathway and the PI3K-Akt signaling pathway. Secreted phosphoprotein 1 (SPP1) and fibronectin 1 (FN1) were selected and verified in an independent cohort and samples using the TCGA and GTEx projects. Gene set enrichment analysis (GSEA) showed that proteasome and nucleotide excision repair were 2 most differentially enriched pathways in the SPP1 high-expression phenotype, and ECM-receptor interaction and focal adhesion in FN1 high-expression phenotype. Kaplan-Meier survival analysis showed that SPP1 and FN1 were significantly positively related to overall survival and had the potential to predict patient relapse. CONCLUSIONS Our analysis is the first to show that SPP1 and FN1 might work as biological markers of progression and prognosis in esophageal carcinoma (ESCA).
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