ArticleCancer informatics2015
FXYD5 is a Marker for Poor Prognosis and a Potential Driver for Metastasis in Ovarian Carcinomas.
Article in Cancer informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Prognostic value of dysadherin in cancer: A systematic review and meta-analysis.Frontiers in oncology · 2022Pooled it
- The functions of FXYD family members in human health and disease.Genes & diseases · 2026Review
- FXYD5 regulates gastric cancer cell metastasis and drug resistance by EMT modulation.Cancer gene therapy · 2025Article
- Alpha Mangostin and Cisplatin as Modulators of Exosomal Interaction of Ovarian Cancer Cell with Fibroblasts.International journal of molecular sciences · 2022Article
- Clinical significance of P-class pumps in cancer.Oncology letters · 2021Review
- Low expression of FXYD5 reverses the cisplatin resistance of epithelial ovarian cancer cells.Histology and histopathology · 2021Article
- A Comprehensive Risk Assessment Model for Ovarian Cancer Patients withOncoTargets and therapy · 2020Article
- Prognostic and Clinicopathological Significance of EphB3 and Dysadherin Expression in Extrahepatic Cholangiocarcinoma.Cancer management and research · 2020Article
- FXYD6 overexpression in HBV-related hepatocellular carcinoma with cirrhosis.Open life sciences · 2020Article
- FXYD5 (Dysadherin) upregulation predicts shorter survival and reveals platinum resistance in high-grade serous ovarian cancer patients.British journal of cancer · 2019Article
- Targeting Adenosine in Cancer Immunotherapy to Enhance T-Cell Function.Frontiers in immunology · 2019Review
- Exploring the role of stromal osmoregulation in cancer and disease using executable modelling.Nature communications · 2018Article
- Development and Clinical Validation of a Seven-Gene Prognostic Signature Based on Multiple Machine Learning Algorithms in Kidney Cancer.Cell transplantationArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian cancer (OC) is a leading cause of cancer mortality, but aside from a few well-studied mutations, very little is known about its underlying causes. As such, we performed survival analysis on ovarian copy number amplifications and gene expression datasets presented by The Cancer Genome Atlas in order to identify potential drivers and markers of aggressive OC. Additionally, two independent datasets from the Gene Expression Omnibus web platform were used to validate the identified markers. Based on our analysis, we identified FXYD5, a glycoprotein known to reduce cell adhesion, as a potential driver of metastasis and a significant predictor of mortality in OC. As a marker of poor outcome, the protein has effective antibodies against it for use in tissue arrays. FXYD5 bridges together a wide variety of cancers, including ovarian, breast cancer stage II, thyroid, colorectal, pancreatic, and head and neck cancers for metastasis studies.
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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.