ArticleTranslational oncology2014
Fatty Acid binding protein 7 is a molecular marker in adenoid cystic carcinoma of the salivary glands: implications for clinical significance.
Article in Translational oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 23 citations in OpenAlex.
- The Role of Fatty Acid Binding Protein 7 in Neurological Diseases.Molecular neurobiology · 2025Review
- Current Insights on Salivary Gland Adenoid Cystic Carcinoma: Related Genes and Molecular Pathways.Genes · 2025Review
- Understanding FABP7 binding to fatty acid micelles and membranes.Biophysical journal · 2023Article
- Single-cell transcriptomic analysis of the tumor ecosystem of adenoid cystic carcinoma.Frontiers in oncology · 2022Article
- The Prognostic Significance of Notch1 and Fatty Acid Binding Protein 7 (FABP7) Expression in Resected Tracheobronchial Adenoid Cystic Carcinoma: A Multicenter Retrospective Study.Cancer research and treatment · 2018Article
- Transcriptomes define distinct subgroups of salivary gland adenoid cystic carcinoma with different driver mutations and outcomes.Oncotarget · 2018Article
- Establishment and characterization of an oral tongue squamous cell carcinoma cell line from a never-smoking patient.Oral oncology · 2017Article
- Clinical and molecular insights into adenoid cystic carcinoma: Neural crest-like stemness as a target.Laryngoscope investigative otolaryngology · 2016Review
- NOTCH1 and SOX10 are Essential for Proliferation and Radiation Resistance of Cancer Stem-Like Cells in Adenoid Cystic Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016Article
- Adenoid cystic carcinoma: current therapy and potential therapeutic advances based on genomic profiling.Oncotarget · 2015Review
- FABP7: A Potential Diagnostic and Prognostic Biomarker for Clear Cell Renal Cell Carcinoma.In vivo (Athens, Greece)Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adenoid cystic carcinoma (ACC) is an aggressive malignant neoplasm of the salivary glands. Its diagnosis is difficult due to overlapping features with other salivary tumors. Gene expression analysis may complement traditional diagnostic methods. We searched gene expression patterns in the Gene Expression Omnibus (GEO) database and in our tumor and normal samples. The biologic and prognostic potential of the identified genes was analyzed. The GEO data set of primary xenografted ACCs revealed that expression of five genes, engrailed homeobox 1 (EN1), fatty acid binding protein 7 (FABP7), hemoglobin epsilon 1, MYB, and versican (VCAN), was dramatically increased. mRNA expression of EN1, FABP7, MYB, and VCAN distinguished our sporadic ACCs from normal tissues and benign tumors. FABP7 expression appeared to be regulated differently from EN1 and MYB and was crossly correlated with poor prognosis in our ACC cohort. Immunohistochemistry showed that FABP7 protein was predominantly expressed in the nucleus of myoepithelial cells of both tubular and cribriform subtypes. In contrast, in the solid subtype, which is often associated with a lower survival rate, FABP7 protein was uniformly expressed in cancerous cells. One case with cribriform architecture and the highest level of FABP7 mRNA showed strong FABP7 staining in both duct-type epithelial and myoepithelial cells, suggesting that diffuse expression of FABP7 protein might be related to aggressive tumor behavior and poor prognosis. We propose FABP7 as a novel biomarker in ACC. The molecule may be useful in diagnosis and for identifying more effective therapies targeting this protein or upstream molecules that regulate it.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.