ReviewMedical oncology (Northwood, London, England)2023
Arginine deiminase produced by lactic acid bacteria as a potent anti-cancer drug.
Review in Medical oncology (Northwood, London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed, 12 citations in OpenAlex.
- Lactic Acid Bacteria-Yeast Consortia Enhance Nutritional Quality, Safety, and Volatilome of Fermented Chickpea Flour.Foods (Basel, Switzerland) · 2026Article
- Molecular mechanisms and therapies for tumor inhibition through the arginine metabolism pathway.Frontiers in oncology · 2026Review
- Efficacy and safety of camrelizumab plusCancer pathogenesis and therapy · 2025Article
- Evaluation of Immunostimulatory Effects of Bacterial Lysate Proteins on THP-1 Macrophages: Pro-inflammatory Cytokine Response and Proteomic Profiling.Journal of immunology research · 2025Article
- Physiochemically and Genetically Engineered Bacteria: Instructive Design Principles and Diverse Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- The Biotransformation and Influence on the Functional Activities of Metabolites during the Fermentation ofFoods (Basel, Switzerland) · 2024Article
- Purification and characterization of L-arginine deiminase from Penicillium chrysogenum.BMC microbiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial-based cancer immunotherapy has recently gained widespread attention due to its exceptional mechanism of rich pathogen-associated molecular patterns in anti-cancer immune responses. Contrary to conventional cancer therapies such as surgery, chemotherapy, radiation and phototherapy, bacteria-based cancer immunotherapy has the unique ability to suppress cancer by selectively accumulating and growing in tumours. In the view of this, several bacterial strains are being used for the treatment of cancer. Of which, lactic acid bacteria are a powerful, albeit still inadequately understood bacteria that possess a wide source of bioactive chemicals. Lactic acid bacteria metabolites, such as bacteriocins, short-chain fatty acids, exopolysaccharides show antitumour property. Amino acid pathways, which have lately been focussed as a new strategy to cancer therapy, are key element of the adaptability and dysregulation of metabolic pathways identified in proliferation of tumour cells. Arginine metabolism, in particular, has been shown to be critical for cancer therapy. As a result, better understanding of arginine metabolism in LAB and cancer cells could lead to new cancer therapeutic targets. This review will outline current advances in the interaction of arginine metabolism with cancer therapy and propose an arginine deiminase expression system to combat cancer more effectively.
Indexed as
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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.