ArticleInternational journal of general medicine2022
Bioinformatic Analysis for the Prognostic Implication of Genes Encoding Epithelial Sodium Channel in Cervical Cancer.
Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Downregulation ofTranslational cancer research · 2025Article
- Hypermethylation of the sodium channel beta subunit gene promoter is associated with colorectal cancer.Hereditas · 2024Article
- Micro- and Macronutrients in Endometrial Cancer-From Metallomic Analysis to Improvements in Treatment Strategies.International journal of molecular sciences · 2024Review
- Exploring MiR-484 Regulation byBiomedicines · 2024Article
- Inactivation of epithelial sodium ion channel molecules serves as effective diagnostic biomarkers in clear cell renal cell carcinoma.Genes & genomics · 2023Article
- Ion Channels and Personalized Medicine in Gynecological Cancers.Pharmaceuticals (Basel, Switzerland) · 2023Review
- An ion-channel-gene-based prediction model for head and neck squamous cell carcinoma: Prognostic assessment and treatment guidance.Frontiers in immunology · 2022Article
- Mambalgin-2 Inhibits Lung Adenocarcinoma Growth and Migration by Selective Interaction With ASIC1/α-ENaC/γ-ENaC Heterotrimer.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCervical cancer is one of the leading causes of death in women. Among the sodium ion channels associated with cancer development, voltage gated sodium channel plays an important role in pathophysiology of cervical cancer; however, the clinicopathological implication of epithelial sodium channel (ENaC) has not been explored. PURPOSE: This study focused on identifying dysregulation of ENaC encoding genes, including MATERIALS AND
methodsRNA sequencing data of ENaC-encoding genes, clinicopathologic data, and survival data of cervical cancer patients were obtained from The Cancer Genome Atlas cohort. Microarray data of ENaC-encoding genes were obtained from Gene Expression Omnibus datasets: GSE6791 and GSE63514.
resultsThe expression levels of
conclusionENaC-encoding genes might be potential biological markers to better predict survival outcomes in cervical cancer patients.
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Registered trials
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