Evidence map›Paper›PMID 32694690›Full record

ReviewNature metabolism2020

Cholesterol metabolism in cancer: mechanisms and therapeutic opportunities.

Binlu Huang, Bao-Liang Song, Chenqi Xu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 582 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
582citing papers in PubMed, 2 pooled it
37.3field-weighted citation impact, top 1% 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

582 citing papers in PubMed, 2 syntheses or guidelines pooled it, 884 citations in OpenAlex.

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522 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Binlu HuangState Key Laboratory of Molecular Biology, Shanghai Science Research Center, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China.
Bao-Liang SongHubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China.ORCID http://orcid.org/0000-0002-6397-5935
Chenqi XuState Key Laboratory of Molecular Biology, Shanghai Science Research Center, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China. cqxu@sibcb.ac.cn.ORCID http://orcid.org/0000-0002-4968-6782
Chinese Academy of Sciences · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholesterol metabolism produces essential membrane components as well as metabolites with a variety of biological functions. In the tumour microenvironment, cell-intrinsic and cell-extrinsic cues reprogram cholesterol metabolism and consequently promote tumourigenesis. Cholesterol-derived metabolites play complex roles in supporting cancer progression and suppressing immune responses. Preclinical and clinical studies have shown that manipulating cholesterol metabolism inhibits tumour growth, reshapes the immunological landscape and reinvigorates anti-tumour immunity. Here, we review cholesterol metabolism in cancer cells, its role in cancer progression and the mechanisms through which cholesterol metabolites affect immune cells in the tumour microenvironment. We also discuss therapeutic strategies aimed at interfering with cholesterol metabolism, and how the combination of such approaches with existing anti-cancer therapies can have synergistic effects, thus offering new therapeutic opportunities.

Indexed as

Cellular ReprogrammingCholesterolEndoplasmic Reticulum StressHumansNeoplasmsTumor MicroenvironmentCholesterol

Identifiers

PMID32694690
OpenAlexW3004642442

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.