Targeting lipid metabolism in the treatment of ovarian cancer

Saliha Chaudhry, Stefani N. Thomas, Glenn E. Simmons

Research output: Contribution to journalReview articlepeer-review

17 Scopus citations

Abstract

Cancer cells undergo alterations in lipid metabolism to support their high energy needs, tumorigenesis and evade an anti-tumor immune response. Alterations in fatty acid production are controlled by multiple enzymes, chiefly Acetyl CoA Carboxylase, ATP-Citrate Lyase, Fatty Acid Synthase, and Stearoyl CoA Desaturase 1. Ovarian cancer (OC) is a common gynecological malignancy with a high rate of aggressive carcinoma progression and drug resistance. The accumulation of unsaturated fatty acids in ovarian cancer supports cell growth, increased cancer cell migration, and worse patient outcomes. Ovarian cancer cells also expand their lipid stores via increased uptake of lipids using fatty acid translocases, fatty acid-binding proteins, and low-density lipoprotein receptors. Furthermore, increased lipogenesis and lipid uptake promote chemotherapy resistance and dampen the adaptive immune response needed to eliminate tumors. In this review, we discuss the role of lipid synthesis and metabolism in driving tumorigenesis and drug resistance in ovarian cancer conferring poor prognosis and outcomes in patients. We also cover some aspects of how lipids fuel ovarian cancer stem cells, and how these metabolic alterations in intracellular lipid content could potentially serve as biomarkers of ovarian cancer.

Original languageEnglish (US)
Pages (from-to)768-783
Number of pages16
JournalOncotarget
Volume13
Issue number1
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 2022 Chaudhry et al.

Keywords

  • biomarkers
  • fatty acid
  • lipid metabolism
  • microenvironment
  • ovarian cancer

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

Fingerprint

Dive into the research topics of 'Targeting lipid metabolism in the treatment of ovarian cancer'. Together they form a unique fingerprint.

Cite this