Topological analysis of the human lymph node reticular network predicts outcome in breast cancer.

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Title: Topological analysis of the human lymph node reticular network predicts outcome in breast cancer.
Authors: Llewellyn AM; Translational Pathology, Comprehensive Cancer Centre, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK., D'Costa SL; Synnovis, Department of Cellular Pathology, a partnership between SYNLAB UK & Ireland, Guy's and St Thomas' NHS Foundation Trust, and King's College Hospital NHS Foundation Trust, London, UK., Lam CY; Synnovis, Department of Cellular Pathology, a partnership between SYNLAB UK & Ireland, Guy's and St Thomas' NHS Foundation Trust, and King's College Hospital NHS Foundation Trust, London, UK., Gore JA; Translational Pathology, Comprehensive Cancer Centre, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK., Lachina V; Stromal Immunology Group, Laboratory for Molecular Cell Biology, University College London, London, UK., Shewring DJ; Stromal Immunology Group, Laboratory for Molecular Cell Biology, University College London, London, UK., Acton SE; Stromal Immunology Group, Laboratory for Molecular Cell Biology, University College London, London, UK., Naidoo K; Translational Pathology, Comprehensive Cancer Centre, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.; Department of Cellular Pathology, King's College Hospital, London, UK.
Source: The Journal of pathology [J Pathol] 2026 Jul; Vol. 269 (3), pp. 348-362. Date of Electronic Publication: 2026 Apr 20.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley And Sons Country of Publication: England NLM ID: 0204634 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-9896 (Electronic) Linking ISSN: 00223417 NLM ISO Abbreviation: J Pathol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Topological analysis of the human lymph node reticular network predicts outcome in breast cancer.
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  Data: <searchLink fieldCode="AU" term="%22Llewellyn+AM%22">Llewellyn AM</searchLink>; Translational Pathology, Comprehensive Cancer Centre, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.<br /><searchLink fieldCode="AU" term="%22D'Costa+SL%22">D'Costa SL</searchLink>; Synnovis, Department of Cellular Pathology, a partnership between SYNLAB UK & Ireland, Guy's and St Thomas' NHS Foundation Trust, and King's College Hospital NHS Foundation Trust, London, UK.<br /><searchLink fieldCode="AU" term="%22Lam+CY%22">Lam CY</searchLink>; Synnovis, Department of Cellular Pathology, a partnership between SYNLAB UK & Ireland, Guy's and St Thomas' NHS Foundation Trust, and King's College Hospital NHS Foundation Trust, London, UK.<br /><searchLink fieldCode="AU" term="%22Gore+JA%22">Gore JA</searchLink>; Translational Pathology, Comprehensive Cancer Centre, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Lachina+V%22">Lachina V</searchLink>; Stromal Immunology Group, Laboratory for Molecular Cell Biology, University College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Shewring+DJ%22">Shewring DJ</searchLink>; Stromal Immunology Group, Laboratory for Molecular Cell Biology, University College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Acton+SE%22">Acton SE</searchLink>; Stromal Immunology Group, Laboratory for Molecular Cell Biology, University College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Naidoo+K%22">Naidoo K</searchLink>; Translational Pathology, Comprehensive Cancer Centre, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.; Department of Cellular Pathology, King's College Hospital, London, UK.
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        Value: 10.1002/path.70065
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        Text: English
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        StartPage: 348
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      – TitleFull: Topological analysis of the human lymph node reticular network predicts outcome in breast cancer.
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              M: 07
              Text: 2026 Jul
              Type: published
              Y: 2026
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