Skip to main navigation Skip to search Skip to main content

Inhibition of bladder tumor growth by chitooligosaccharides in an experimental carcinogenesis model

Research output: Contribution to journal › Article › peer-review

47 Citations (Scopus)
44 Downloads

Abstract

Urinary bladder cancer is one of the most common cancers worldwide, with the highest incidence in industrialized countries. Patients with cancer commonly use unconventional and complementary therapy including nutraceuticals. In this study we evaluated the efficacy of chitooligosaccharides (in orange juice) in rat bladder cancer chemoprevention and as therapeutic agent, on a rat model of urinary bladder carcinogenesis induced with N-butyl-N-(4-hydroxybutyl) nitrosamine. Results indicate that chitooligosaccharides may have a preventive effect on bladder cancer development and a curative effect upon established bladder tumors, dependent on the concentration ingested 500 mg/kg b.w., every three days, showed capacity to inhibit and prevent the proliferation of bladder cancer; however, this was associated with secondary effects such as hypercholesterolemia and hypertriglyceridemia. The use of lower doses (50 and 250 mg/kg b.w.) showed only therapeutic effects. It is further suggested that this antitumor effect might be due to its expected anti-inflammatory action, as well as by mechanisms not directly dependent of COX-2 inhibition, such as cellular proliferation control and improvement in antioxidant profile.
Original languageEnglish
Pages (from-to)2661-2675
Number of pages15
JournalMarine Drugs
Volume10
Issue number12
DOIs
Publication statusPublished - Dec 2012

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

  • Bladder cancer
  • Chemoprevention
  • Chitooligosaccharides
  • Chitosans

Fingerprint

Dive into the research topics of 'Inhibition of bladder tumor growth by chitooligosaccharides in an experimental carcinogenesis model'. Together they form a unique fingerprint.

Cite this