Evidence map›Paper›PMID 35625633›Full record

ReviewBiomolecules2022

Key Molecules of Fatty Acid Metabolism in Gastric Cancer.

Chunlei Li, Lilong Zhang, Zhendong Qiu, Wenhong Deng, Weixing Wang

Open access · goldAbstract readReview
In one paragraph

Review in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
9.1field-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

62 citing papers in PubMed, 104 citations in OpenAlex.

  1. Review
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  6. [Combined Analysis of Dyslipidemia and Tumor Markers for the Diagnosis of Gastric Cancer].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
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2 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

5 authors at 1 institution in 1 country.

Chunlei LiDepartment of General Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Lilong ZhangDepartment of General Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0002-3360-1158
Zhendong QiuDepartment of General Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Wenhong DengDepartment of General Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Weixing WangDepartment of General Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatty acid metabolism is closely linked to the progression of gastric cancer (GC), a very aggressive and life-threatening tumor. This study examines linked molecules, such as Sterol Regulatory Element-Binding Protein 1 (SREBP1), ATP Citrate Lyase (ACLY), Acetyl-CoA Synthases (ACSs), Acetyl-CoA Carboxylase (ACC), Fatty Acid Synthase (FASN), Stearoyl-CoA Desaturase 1 (SCD1), CD36, Fatty Acid Binding Proteins (FABPs), and Carnitine palmitoyltransferase 1 (CPT1), as well as their latest studies and findings in gastric cancer to unveil its core mechanism. The major enzymes of fatty acid de novo synthesis are ACLY, ACSs, ACC, FASN, and SCD1, while SREBP1 is the upstream molecule of fatty acid anabolism. Fatty acid absorption is mediated by CD36 and FABPs, and fatty acid catabolism is mediated by CPT1. If at all possible, we will discover novel links between fatty acid metabolism and a prospective gastric cancer target.

Indexed as

Stomach NeoplasmsATP Citrate (pro-S)-LyaseFatty AcidsHumansLipid MetabolismLipogenesisProspective StudiesATP Citrate (pro-S)-LyaseFatty Acidsfatty acidsgastric cancerkey enzymesmetabolismprognosistreatment

Identifiers

PMID35625633
PMCPMC9138239
OpenAlexW4280599519

What OpenQuestion 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 OpenQuestion graph.