Evidence map›Paper›PMID 41739294›Full record

ReviewDiscover oncology2026

The impact of lipid metabolism remodeling in the tumor microenvironment on angiogenesis.

Chen Ye, Zhongqun Wang, Lihua Li

Abstract readReview
In one paragraph

Review in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chen YeDepartment of Pathology, Affiliated Hospital of Jiangsu University, No. 438 Jiefang Road, Jingkou District, Zhenjiang, 212000, Jiangsu, China.
Zhongqun WangDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212000, Jiangsu, China.
Lihua LiDepartment of Pathology, Affiliated Hospital of Jiangsu University, No. 438 Jiefang Road, Jingkou District, Zhenjiang, 212000, Jiangsu, China. tsmc01@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumour cells enhance their survival and proliferation through autocrine and paracrine signalling, thereby facilitating tumour progression. Sustained growth requires the formation of new blood vessels, making angiogenesis a major therapeutic target. Concurrently, tumour development involves metabolic reprogramming to support uncontrolled proliferation. While the role of tumour metabolism in immune regulation has been widely studied, its contribution to angiogenesis remains less understood.

objectiveTo summarize current knowledge on how tumour-driven lipid metabolic reprogramming influences angiogenesis within the tumour microenvironment (TME) and to identify potential therapeutic opportunities.

methodsWe reviewed recent studies focusing on the intersection between tumour lipid metabolism and angiogenesis, integrating findings from experimental and translational research.

resultsEmerging evidence indicates that lipid metabolic alterations in tumour cells modulate endothelial function, vascular remodelling, and pro-angiogenic signalling pathways. These changes reshape the angiogenic landscape of the TME, contributing to tumour progression and therapy resistance.

conclusionUnderstanding the interplay between lipid metabolism and angiogenesis may uncover novel therapeutic vulnerabilities. Targeting metabolic reprogramming in the TME could provide new avenues for anti-angiogenic strategies and improve patient outcomes.

Indexed as

AngiogenesisLipid metabolic reprogrammingTumor metabolismTumor microenvironment (TME)

Identifiers

PMID41739294
PMCPMC13161451

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.