Evidence mapPaperPMID 34775964Full record

ReviewLipids in health and disease2021

How cancer cells remodel lipid metabolism: strategies targeting transcription factors.

Do-Won Jeong, Seulbee Lee, Yang-Sook Chun

Open access · goldAbstract readReview
In one paragraph

Review in Lipids in health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Targeting Acetyl-CoA Carboxylase Suppresses De Novo Lipogenesis and Tumor Cell Growth in Multiple Myeloma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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  17. BioMedicine · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 2 countries.

Do-Won JeongDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, South Korea.
Seulbee LeeDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, South Korea.
Yang-Sook ChunDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, 03080, South Korea. chunys@snu.ac.kr.ORCID http://orcid.org/0000-0002-1261-9498
Seoul National University · KR

Funding

National Research Foundation of Korea 2018R1A5A2025964National Research Foundation of Korea 2019R1A2C2083886
6 · The paper itself

Abstract

Reprogramming of lipid metabolism has received increasing recognition as a hallmark of cancer cells because lipid dysregulation and the alteration of related enzyme profiles are closely correlated with oncogenic signals and malignant phenotypes, such as metastasis and therapeutic resistance. In this review, we describe recent findings that support the importance of lipids, as well as the transcription factors involved in cancer lipid metabolism. With recent advances in transcription factor analysis, including computer-modeling techniques, transcription factors are emerging as central players in cancer biology. Considering the limited number and the crucial role of transcription factors associated with lipid rewiring in cancers, transcription factor targeting is a promising potential strategy for cancer therapy.

Indexed as

Antineoplastic AgentsLipid MetabolismMolecular Targeted TherapyNeoplasmsTranscription FactorsAntineoplastic AgentsTranscription FactorsCancerLipid metabolismTranscription factor

Identifiers

PMID34775964
PMCPMC8590761
OpenAlexW3213073838

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.