Evidence map›Paper›PMID 40672678›Full record

ReviewACS pharmacology & translational science2025

Lipids: Driving Forces in the Underlying Biology of Carcinogenesis.

Sohini Chakraborty, Anudarshini Sathish Kumar, Satarupa Banerjee

Abstract readReview
In one paragraph

Review in ACS pharmacology & translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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.

Sohini ChakrabortyDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.
Anudarshini Sathish KumarDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.
Satarupa BanerjeeDepartment of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-0986-2796

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipids, mainly composed of cholesterol, phospholipids, sphingolipids, triacylglycerides, and fatty acids, have vital functions within cells. Some lipids function as signaling molecules or secondary messengers and are cellular membranes' energy sources and structural elements. More research is being conducted on metabolic reprogramming as a hallmark of cancer. However, compared with the metabolism of glucose or glutamine, lipid metabolism in cancer has received less attention. There is increasing evidence that certain parts of the lipid metabolism are altered in cancer cells. The alterations could influence the quantity of lipids involved in signaling functions, affect the synthesis and breakdown of lipids necessary for maintaining energy homeostasis, and modify the availability of structural lipids critical for membrane formation. The term "lipid metabolic reprogramming" refers to modifications in the lipid metabolism that can impact cellular processes such as cell division, growth, proliferation, and the cell cycle, ultimately resulting in cancer. Furthermore, interactions between cancer cells and nearby immune cells via an altered lipid metabolism promote the development and spread of tumors. The most recent studies on the involvement of lipid metabolism in different cancers and associated hallmarks and lipids in various aspects of cancer therapeutics, which affect multiple facets of tumorigenesis, are described in this review.

Indexed as

andcancer hallmarkslipid droplets and raftslipid reprogramminglipogenic factorstherapeuticstreatment resistance

Identifiers

PMID40672678
PMCPMC12260937

What OpenQuestion holds

Textmetadata
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Registered trials

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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.