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Communication

Identification of Prognostic Organic Cation and Anion Transporters in Different Cancer Entities by In Silico Analysis

Department of Medicine, Hematology and Oncology, Martin Luther University Halle-Wittenberg, 06108 Halle (Saale), Germany
Int. J. Mol. Sci. 2020, 21(12), 4491; https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21124491
Received: 5 June 2020 / Revised: 19 June 2020 / Accepted: 21 June 2020 / Published: 24 June 2020
The information derived from next generation sequencing technology allows the identification of deregulated genes, gene mutations, epigenetic modifications, and other genomic events that are associated with a given tumor entity. Its combination with clinical data allows the prediction of patients’ survival with a specific gene expression pattern. Organic anion transporters and organic cation transporters are important proteins that transport a variety of substances across membranes. They are also able to transport drugs that are used for the treatment of cancer and could be used to improve treatment. In this study, we have made use of publicly available data to analyze if the expression of organic anion transporters or organic cation transporters have a prognostic value for a given tumor entity. The expression of most organic cation transporters is prognostic favorable. Within the organic anion transporters, the ratio between favorable and unfavorable organic anion transporters is nearly equal for most tumor entities and only in liver cancer is the number of unfavorable genes two times higher compared to favorable genes. Within the favorable genes, UNC13B, and SFXN2 cover nine cancer types and in the same way, SLC2A1, PLS3, SLC16A1, and SLC16A3 within the unfavorable set of genes and could serve as novel target structures. View Full-Text
Keywords: TCGA; human pathology atlas; gene ontology; organic cation transporter; organic anion transporter TCGA; human pathology atlas; gene ontology; organic cation transporter; organic anion transporter
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MDPI and ACS Style

Edemir, B. Identification of Prognostic Organic Cation and Anion Transporters in Different Cancer Entities by In Silico Analysis. Int. J. Mol. Sci. 2020, 21, 4491. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21124491

AMA Style

Edemir B. Identification of Prognostic Organic Cation and Anion Transporters in Different Cancer Entities by In Silico Analysis. International Journal of Molecular Sciences. 2020; 21(12):4491. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21124491

Chicago/Turabian Style

Edemir, Bayram. 2020. "Identification of Prognostic Organic Cation and Anion Transporters in Different Cancer Entities by In Silico Analysis" International Journal of Molecular Sciences 21, no. 12: 4491. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms21124491

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