ArticleScientific reports2017
In-silico gene essentiality analysis of polyamine biosynthesis reveals APRT as a potential target in cancer.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Nucleotide salvage, genome instability, and potential therapeutic applications.Nucleic acids research · 2026Review
- PAICS-Driven Purine Biosynthesis and Its Prognostic Implications in Lung Adenocarcinoma: A Novel Risk Stratification Model and Therapeutic Insights.Current issues in molecular biology · 2025Article
- Subtype-specific transcription factors affect polyamine metabolism and the tumor microenvironment in breast cancer.Cancer innovation · 2025Article
- An automated network-based tool to search for metabolic vulnerabilities in cancer.Nature communications · 2024Article
- Population-Specific gene expression profiles in prostate cancer: insights from Weighted Gene Co-expression Network Analysis (WGCNA).World journal of surgical oncology · 2024Article
- ELIMINATOR: essentiality analysis using multisystem networks and integer programming.BMC bioinformatics · 2022Article
- Polyamine Metabolites as Biomarkers in Head and Neck Cancer Biofluids.Diagnostics (Basel, Switzerland) · 2022Article
- A network-based approach to integrate nutrient microenvironment in the prediction of synthetic lethality in cancer metabolism.PLoS computational biology · 2022Article
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- Current Status and Future Prospects of Clinically Exploiting Cancer-specific Metabolism-Why Is Tumor Metabolism Not More Extensively Translated into Clinical Targets and Biomarkers?International journal of molecular sciences · 2019Review
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Constraint-based modeling for genome-scale metabolic networks has emerged in the last years as a promising approach to elucidate drug targets in cancer. Beyond the canonical biosynthetic routes to produce biomass, it is of key importance to focus on metabolic routes that sustain the proliferative capacity through the regulation of other biological means in order to improve in-silico gene essentiality analyses. Polyamines are polycations with central roles in cancer cell proliferation, through the regulation of transcription and translation among other things, but are typically neglected in in silico cancer metabolic models. In this study, we analysed essential genes for the biosynthesis of polyamines. Our analysis corroborates the importance of previously known regulators of the pathway, such as Adenosylmethionine Decarboxylase 1 (AMD1) and uncovers novel enzymes predicted to be relevant for polyamine homeostasis. We focused on Adenine Phosphoribosyltransferase (APRT) and demonstrated the detrimental consequence of APRT gene silencing on different leukaemia cell lines. Our results highlight the importance of revisiting the metabolic models used for in-silico gene essentiality analyses in order to maximize the potential for drug target identification in cancer.
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