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Characterization of farnesyl diphosphate farnesyl transferase 1 (FDFT1) expression in cancer

  • Şükrü Tüzmen*
  • , Galen Hostetter
  • , Aprill Watanabe
  • , Cumhur Ekmekçi
  • , Patricia E. Carrigan
  • , Ishaiahu Shechter
  • , Olli Kallioniemi
  • , Laurence J. Miller
  • , Spyro Mousses
  • *Corresponding author for this work
  • Eastern Mediterranean University
  • Translational Genomics Research Institute (TGen)
  • Van Andel Institute
  • Texas Tech University
  • Acibadem University
  • Mayo Clinic
  • Bayer AG
  • Uniformed Services University of the Health Sciences
  • VTT (former employee or external)
  • University of Turku
  • Systems Oncology

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Aim: To help characterize the FDFT1 gene and protein expression in cancer. Cholesterol represents an important structural component of lipid rafts. These specializations can be involved in pathways stimulating cell growth, survival and other processes active in cancer. This cellular compartment can be expanded by acquisition of cholesterol from the circulation or by its synthesis in a metabolic pathway regulated by the FDFT1 enzyme. Given the critical role this might play in carcinogenesis and in the behavior of cancers, we have examined the level of this enzyme in various types of human cancer. Our demonstration of elevated levels of FDFT1 mRNA and protein in some tumors relative to surrounding normal tissue identifies this as a possible biomarker for disease development and progression, and as a potential new target for the treatment of cancer.
Original languageEnglish
Pages (from-to)51-65
JournalPersonalized Medicine
Volume16
Issue number1
DOIs
Publication statusPublished - Jan 2019
MoE publication typeA1 Journal article-refereed

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cancer
  • cholesterol
  • FDFT1
  • gene expression
  • immunohistochemistry
  • lipidrafts
  • microdomains
  • plasma membrane
  • qPCR
  • TMA

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