Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 189

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Lipid desaturation – the next step in targeting lipogenesis in cancer?

Peck, Barrie, Schulze, Almut·2016·The FEBS Journal

Abstract

Metabolic reprogramming is a central feature of transformed cells. Cancer metabolism is now fully back in the focus of cancer research, as the interactions between oncogenic signalling and cellular metabolic processes are uncovered. One aspect of metabolic reprogramming in cancer is alterations in lipid metabolism. In contrast to most untransformed tissues, which satisfy their demand from dietary lipids, cancer cells frequently re‐activate de novo lipogenesis. However, compounds targeting fatty acid synthase (FASN), a multiprotein complex integral to lipogenesis, have so far shown limited efficacy in pre‐clinical cancer models and to date only one FASN inhibitor has entered clinical trials. Recently, a number of studies have suggested that enhanced production of fatty acids in cancer cells could also increases their dependence on the activity of desaturases, a class of enzymes that insert double bonds into acyl‐CoA chains. Targeting desaturase activity could provide a window of opportunity to selectively interfere with the metabolic activity of cancer cells. This review will summarise some key findings that implicate altered lipid metabolism in cancer and investigate the molecular interactions between lipid desaturation and cancer cell survival.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/febs.13681

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 14 references

Cited by

See all 189

Metadata

Authors
Peck, B., & Schulze, A.
Venue
The FEBS Journal
Publisher
Wiley
Published
2016-03-11
Volume
283
Issue
15
Pages
2767-2778
ISSN
  • 1742-464X (ISSN-L)
  • 1742-4658
OpenAlex
W2284128798
Cited by
189
References
14
FWCI
6.31
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Lipid desaturation – the next step in targeting lipogenesis in cancer? https://app.cochat.ai/papers/10.1111/febs.13681
The paper
Peck, B., & Schulze, A. (2016). Lipid desaturation – the next step in targeting lipogenesis in cancer? The FEBS Journal. https://doi.org/10.1111/febs.13681

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.