In one paragraphArticle in Cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
29 authors.
Josep Tarragó-Celada *Oncogenes and Tumor Metabolism Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0001-7322-9736 Asad S Mahmood *Oncogenes and Tumor Metabolism Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0009-0007-9779-6250 Yulia PaninaOncogenes and Tumor Metabolism Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-7526-2000 Sakshi LalwaniOncogenes and Tumor Metabolism Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0009-0008-2721-2210 Samantha AtkinsonDepartment of Immunology and Inflammation, Faculty of Medicine, Imperial College London, South Kensington Campus, London, United Kingdom.ORCID 0009-0006-7930-9810 Amy SpicerOncogenes and Tumor Metabolism Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0001-6474-1498 Michael KossifosOncogenes and Tumor Metabolism Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0009-0009-8568-8046 Weigang CaiOncogenes and Tumor Metabolism Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0001-9592-2160 Ersa GjelajOncogenes and Tumor Metabolism Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-5168-3724 Sharavan Vishaan VenkateswaranOncogenes and Tumor Metabolism Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0001-6910-9117 Nathalie Michelle LegraveMetabolomics Platform, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0003-1172-4955 Tegan GilmoreBioinformatics and Biostatistics Platform, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-6504-7083 Richard MitterBioinformatics and Biostatistics Platform, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-1279-3760 Avinash GhanateOncogenes and Tumor Metabolism Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-6284-7667 Vincen WuDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, South Kensington Campus, London, United Kingdom.ORCID 0000-0002-5292-9941 Zoltán TakátsDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, South Kensington Campus, London, United Kingdom.ORCID 0000-0002-0795-3467 Bin YanNational Centre of Excellence in Mass Spectrometry Imaging, National Physical Laboratory, Teddington, United Kingdom.ORCID 0000-0002-7562-9562 Alex DexterNational Centre of Excellence in Mass Spectrometry Imaging, National Physical Laboratory, Teddington, United Kingdom.ORCID 0000-0001-8536-4417 Rory T StevenNational Centre of Excellence in Mass Spectrometry Imaging, National Physical Laboratory, Teddington, United Kingdom.ORCID 0000-0002-6754-2424 Josephine BunchNational Centre of Excellence in Mass Spectrometry Imaging, National Physical Laboratory, Teddington, United Kingdom.ORCID 0000-0002-4257-1296 George GeorgiouDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, Texas.ORCID 0000-0002-8823-3073 Everett M StoneDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, Texas.ORCID 0000-0002-2459-9762 Míriam Tarrado-CastellarnauDepartment of Biochemistry and Molecular Biomedicine, Institute of Biomedicine of Universitat de Barcelona, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0001-9757-2686 Richard J BurtDepartment of Immunology and Inflammation, Faculty of Medicine, Imperial College London, South Kensington Campus, London, United Kingdom.ORCID 0000-0003-2360-7537 Mariia YunevaOncogenes and Tumor Metabolism Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0003-3455-9374 Funding
Cancer Research UK (CRUK) C57633/A25043Cancer Research UK (CRUK) CC2082Cancer Research UK (CRUK) RCCFEL/100017Marie Curie (MarieCurieUK) EP/Y029232/1Medical Research Council (MRC) CC2082Wellcome Trust CC2082Wellcome Trust (WT) CC2082
6 · The paper itselfAbstract
Metastatic disease remains a major cause of cancer-related mortality. Recent studies suggest that dissemination to other organs comes with metabolic changes that allow the metastasizing cancer cells to adapt to new microenvironments. A deeper knowledge of these specific metabolic features and associated vulnerabilities could lead to the development of more effective therapies against metastasis. We used in vivo and ex vivo models of MYC-driven breast tumorigenesis to explore the key metabolic pathways that change when mammary gland tumor (MGT) cells metastasize to the lung. Stable isotope-resolved metabolomics, mass spectrometry imaging, and single-cell RNA sequencing demonstrated that MGT-derived lung metastases have increased synthesis of glutathione fueled by increased cystine uptake. Metastatic cells relied heavily on the availability of extracellular cysteine or cystine, possibly due to downregulated intracellular cysteine synthesis through the transsulfuration pathway. When combined with focal radiotherapy, the amino acid degrader cyst(e)inase effectively reduced metastatic burden in the lungs. Together, these findings show that targeting cystine/cysteine exploits a metabolic dependency that is unique to metastatic cells and acts as a sensitizer to radiotherapy-induced oxidative stress, offering a promising targeted strategy. SIGNIFICANCE: A radiotherapy-sensitizing combination with the amino acid degrader cyst(e)inase is an effective strategy to treat breast metastasis to the lungs, tackling the specific dependence of metastatic cells on cysteine and cystine.
Indexed as
Breast NeoplasmsCystineLung NeoplasmsAnimalsCell Line, TumorCysteineFemaleGlutathioneHumansMiceCysteineCystineGlutathione
Identifiers
PMID42412619
PMCPMC7619373
What Socratic holds
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