ReviewMetabolites2024
Targeting Disulfidptosis with Potentially Bioactive Natural Products in Metabolic Cancer Therapy.
Review in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metabolic cell death in cancer: mechanisms and therapeutic potential.Apoptosis : an international journal on programmed cell death · 2025Pooled it
- Article
- Disulfidptosis-related gene DSTN predicts prognosis and promotes malignant progression in head and neck squamous cell carcinoma.Molecular and cellular biochemistry · 2026Article
- Integration of Single-cell Sequencing Analysis Reveals Disulfidptosis Related Molecular Subtype and Novel Prognosis System for Osteosarcoma.Current medicinal chemistry · 2026Article
- The Landscape of Disulfidptosis in Preeclampsia Reveals a Novel 5-Gene Diagnostic Signature via Machine Learning.International journal of women's health · 2026Article
- Actin-related protein 2/3 complex subunit 1B promotes cervical cancer cell tumorigenesis in vitro and in vivo.American journal of cancer research · 2026Article
- Programmed Cell Death in Cancer.MedComm · 2025Review
- Disulfidptosis in tumor progression.Cell death discovery · 2025Review
- Advances in the study of disulfidptosis in digestive tract tumors.Discover oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundMetabolic cancers are defined by metabolic reprogramming. Although this reprograming drives rapid tumour growth and invasion, it also reveals specific metabolic vulnerabilities that can be therapeutically exploited in cancer therapy. A novel form of programmed cell death, known as disulfidptosis, was identified last year; tumour cells with high SLC7A11 expression undergo disulfidptosis when deprived of glucose. Natural products have attracted increasing attention and have shown potential to treat metabolic cancers through diverse mechanisms.
methodsWe systematically searched electronic databases involving PubMed, Web of Science, Gooale Scholar. To ensue comprehensive exploration, keywords including metabolic reprogramming, metabolic cancer, disulfidptosis, natural products and some other words were employed.
resultsIn this review, we focus on the shared characteristics and metabolic vulnerabilities of metabolic cancers. Additionally, we discuss the molecular mechanisms underlying disulfidptosis and highlight key regulatory genes. Furthermore, we predict bioactive natural products that target disulfidptosis-related genes, offering new perspectives for anticancer strategies through the modulation of disulfidptosis.
conclusionsBy summarizing current research progress, this review mainly analyzed the potential mechanisms of natural products in the treatment of metabolic cancer.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.