Evidence map›Paper›PMID 38833109›Full record

ReviewDiscover oncology2024

Role of lipid metabolism in hepatocellular carcinoma.

Yulin Cheng, Jun He, Bin Zuo, Yang He

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Yulin ChengMOE Engineering Center of Hematological Disease, Collaborative Innovation Center of Hematology, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Cyrus Tang Hematology Center, Soochow University, Suzhou, Jiangsu, 215006, China.
Jun HeDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, China.
Bin ZuoMOE Engineering Center of Hematological Disease, Collaborative Innovation Center of Hematology, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Cyrus Tang Hematology Center, Soochow University, Suzhou, Jiangsu, 215006, China.
Yang HeMOE Engineering Center of Hematological Disease, Collaborative Innovation Center of Hematology, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Cyrus Tang Hematology Center, Soochow University, Suzhou, Jiangsu, 215006, China. heyang1963@163.com.

Funding

National Science Foundation for Young Scientists of China 81802385
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC), an aggressive malignancy with a dismal prognosis, poses a significant public health challenge. Recent research has highlighted the crucial role of lipid metabolism in HCC development, with enhanced lipid synthesis and uptake contributing to the rapid proliferation and tumorigenesis of cancer cells. Lipids, primarily synthesized and utilized in the liver, play a critical role in the pathological progression of various cancers, particularly HCC. Cancer cells undergo metabolic reprogramming, an essential adaptation to the tumor microenvironment (TME), with fatty acid metabolism emerging as a key player in this process. This review delves into intricate interplay between HCC and lipid metabolism, focusing on four key areas: de novo lipogenesis, fatty acid oxidation, dysregulated lipid metabolism of immune cells in the TME, and therapeutic strategies targeting fatty acid metabolism for HCC treatment.

Indexed as

De novo lipogenesisFatty acid oxidationHepatocellular carcinomaLipid metabolismTherapeutic strategyTumor microenvironment

Identifiers

PMID38833109
PMCPMC11150225

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.