Evidence map›Paper›PMID 38933330›Full record

ReviewFrontiers in cell and developmental biology2024

Unraveling the intricate relationship between lipid metabolism and oncogenic signaling pathways.

Fahad Khan, Deena Elsori, Meenakshi Verma, Shivam Pandey, Safia Obaidur Rab, Samra Siddiqui, Nadiyah M Alabdallah, Mohd Saeed, Pratibha Pandey

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in cell and developmental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

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  17. Unraveling the Molecular Mechanisms of ABHD5 Membrane Targeting.bioRxiv : the preprint server for biology · 2025
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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

9 authors.

Fahad Khan *Center for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Deena Elsori *Faculty of Resilience, Rabdan Academy, Abu Dhabi, United Arab Emirates.
Meenakshi VermaUniversity Centre for Research and Development, Chandigarh University, Mohali, Punjab, India.
Shivam PandeySchool of Applied and Life Sciences, Uttaranchal University, Dehradun, Uttarakhand, India.
Safia Obaidur RabDepartment of Clinical Laboratory Sciences, College of Applied Medical Science, King Khalid University, Abha, Saudi Arabia.
Samra SiddiquiDepartment of Health Service Management, College of Public Health and Health Informatics, University of Hail, Ha'il, Saudi Arabia.
Nadiyah M AlabdallahDepartment of Biology, College of Science, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Mohd SaeedDepartment of Biology, College of Science, University of Hail, Ha'il, Saudi Arabia.
Pratibha PandeyChitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipids, the primary constituents of the cell membrane, play essential roles in nearly all cellular functions, such as cell-cell recognition, signaling transduction, and energy provision. Lipid metabolism is necessary for the maintenance of life since it regulates the balance between the processes of synthesis and breakdown. Increasing evidence suggests that cancer cells exhibit abnormal lipid metabolism, significantly affecting their malignant characteristics, including self-renewal, differentiation, invasion, metastasis, and drug sensitivity and resistance. Prominent oncogenic signaling pathways that modulate metabolic gene expression and elevate metabolic enzyme activity include phosphoinositide 3-kinase (PI3K)/AKT, MAPK, NF-kB, Wnt, Notch, and Hippo pathway. Conversely, when metabolic processes are not regulated, they can lead to malfunctions in cellular signal transduction pathways. This, in turn, enables uncontrolled cancer cell growth by providing the necessary energy, building blocks, and redox potentials. Therefore, targeting lipid metabolism-associated oncogenic signaling pathways could be an effective therapeutic approach to decrease cancer incidence and promote survival. This review sheds light on the interactions between lipid reprogramming and signaling pathways in cancer. Exploring lipid metabolism as a target could provide a promising approach for creating anticancer treatments by identifying metabolic inhibitors. Additionally, we have also provided an overview of the drugs targeting lipid metabolism in cancer in this review.

Indexed as

anticancer therapycancercell signalinglipid metabolismoncogenic proteins

Identifiers

PMID38933330
PMCPMC11199418

What OpenQuestion holds

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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.