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We are analyzing https://www.nature.com/articles/s41416-019-0634-z.

Title:
Spatial proximity between T and PD-L1 expressing cells as a prognostic biomarker for oropharyngeal squamous cell carcinoma | British Journal of Cancer
Description:
Fulfilling the promise of cancer immunotherapy requires novel predictive biomarkers to characterise the host immune microenvironment. Deciphering the complexity of immune cell interactions requires an automated multiplex approach to histological analysis of tumour sections. We tested a new automatic approach to select tissue and quantify the frequencies of cell-cell spatial interactions occurring in the PD1/PD-L1 pathway, hypothesised to reflect immune escape in oropharyngeal squamous cell carcinoma (OPSCC). Single sections of diagnostic biopsies from 72 OPSCC patients were stained using multiplex immunofluorescence (CD8, PD1, PD-L1, CD68). Following multispectral scanning and automated regions-of-interest selection, the Hypothesised Interaction Distribution (HID) method quantified spatial proximity between cells. Method applicability was tested by investigating the prognostic significance of co-localised cells (within 30 μm) in patients stratified by HPV status. High frequencies of proximal CD8+ and PD-L1+ (HR 2.95, p = 0.025) and PD1+ and PD-L1+ (HR 2.64, p = 0.042) cells were prognostic for poor overall survival in patients with HPV negative OPSCC (n = 31). The HID method can quantify spatial interactions considered to reflect immune escape and generate prognostic information in OPSCC. The new automated approach is ready to test in additional cohorts and its applicability should be explored in research and clinical studies.
Website Age:
30 years and 10 months (reg. 1994-08-11).

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$531,700 per month
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Keywords {🔍}

cell, cells, cancer, pdl, article, hpv, analysis, google, scholar, patients, manchester, immune, interactions, prognostic, hid, nature, tissue, spatial, opscc, image, supplementary, data, automated, expression, table, tumour, clinical, head, neck, study, cas, proximity, squamous, interaction, survival, negative, research, positive, fig, status, detection, staining, size, multiplex, results, treatment, pipeline, cohort, images, information,

Topics {✒️}

nature portfolio privacy policy advertising nature nature 515 open-source software open source software social media anti-pd-l1 antibody mpdl3280a reprints pd-l1-positive tumor cell cell-wise average precision pd-1/pd-l1 proximal events pd-l1-positive tumor cells ethics committee due256 grey-scale colour map kaplan–meier estimator plotted pd-1/pd-l1 blockade immunotherapy ligand pd-l1 leads ventana auto-staining platform ifn-γ+ release leads research spectral library proximal cell-cell interactions original author pd-1/pd-l1 pathway pd-1/ pd-l1 pathway pd-1/pd-l1 axis pd-l1+ cell interactions anti-tumour effector function pd-l1+ spatial interactions essential pre-processing step quantifying cell-type interactions pd1/pd-l1 pathway provided immunology expertise permissions cd8+ tissue-resident memory pd-l1 expression status cells expressing pd-l1 pd-l1 expressing cells u-net network architecture 1 library stage-dependent spatial distribution pd-l1+ hid interactions auto-staining platform performed pd-l1+ cells correlates date survival analysis development author tumor immune microenvironment

Schema {🗺️}

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         headline:Spatial proximity between T and PD-L1 expressing cells as a prognostic biomarker for oropharyngeal squamous cell carcinoma
         description:Fulfilling the promise of cancer immunotherapy requires novel predictive biomarkers to characterise the host immune microenvironment. Deciphering the complexity of immune cell interactions requires an automated multiplex approach to histological analysis of tumour sections. We tested a new automatic approach to select tissue and quantify the frequencies of cell-cell spatial interactions occurring in the PD1/PD-L1 pathway, hypothesised to reflect immune escape in oropharyngeal squamous cell carcinoma (OPSCC). Single sections of diagnostic biopsies from 72 OPSCC patients were stained using multiplex immunofluorescence (CD8, PD1, PD-L1, CD68). Following multispectral scanning and automated regions-of-interest selection, the Hypothesised Interaction Distribution (HID) method quantified spatial proximity between cells. Method applicability was tested by investigating the prognostic significance of co-localised cells (within 30 μm) in patients stratified by HPV status. High frequencies of proximal CD8+ and PD-L1+ (HR 2.95, p = 0.025) and PD1+ and PD-L1+ (HR 2.64, p = 0.042) cells were prognostic for poor overall survival in patients with HPV negative OPSCC (n = 31). The HID method can quantify spatial interactions considered to reflect immune escape and generate prognostic information in OPSCC. The new automated approach is ready to test in additional cohorts and its applicability should be explored in research and clinical studies.
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      headline:Spatial proximity between T and PD-L1 expressing cells as a prognostic biomarker for oropharyngeal squamous cell carcinoma
      description:Fulfilling the promise of cancer immunotherapy requires novel predictive biomarkers to characterise the host immune microenvironment. Deciphering the complexity of immune cell interactions requires an automated multiplex approach to histological analysis of tumour sections. We tested a new automatic approach to select tissue and quantify the frequencies of cell-cell spatial interactions occurring in the PD1/PD-L1 pathway, hypothesised to reflect immune escape in oropharyngeal squamous cell carcinoma (OPSCC). Single sections of diagnostic biopsies from 72 OPSCC patients were stained using multiplex immunofluorescence (CD8, PD1, PD-L1, CD68). Following multispectral scanning and automated regions-of-interest selection, the Hypothesised Interaction Distribution (HID) method quantified spatial proximity between cells. Method applicability was tested by investigating the prognostic significance of co-localised cells (within 30 μm) in patients stratified by HPV status. High frequencies of proximal CD8+ and PD-L1+ (HR 2.95, p = 0.025) and PD1+ and PD-L1+ (HR 2.64, p = 0.042) cells were prognostic for poor overall survival in patients with HPV negative OPSCC (n = 31). The HID method can quantify spatial interactions considered to reflect immune escape and generate prognostic information in OPSCC. The new automated approach is ready to test in additional cohorts and its applicability should be explored in research and clinical studies.
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      dateModified:2019-12-06T00:00:00Z
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         Cancer imaging
         Cancer microenvironment
         Head and neck cancer
         Image processing
         Prognostic markers
         Biomedicine
         general
         Cancer Research
         Epidemiology
         Molecular Medicine
         Oncology
         Drug Resistance
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      name:Richard Byers
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               name:Division of Cancer Sciences, University of Manchester, Manchester Royal Infirmary, Manchester, UK
               type:PostalAddress
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      email:[email protected]
      name:Catharine M. L. West
      url:http://orcid.org/0000-0002-0839-3449
      affiliation:
            name:University of Manchester, The Christie NHS Foundation Trust
            address:
               name:Division of Cancer Sciences, University of Manchester, The Christie NHS Foundation Trust, Manchester, UK
               type:PostalAddress
            type:Organization
      email:[email protected]
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      name:Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, UK
      name:Dorset Cancer Centre, Poole Hospital NHS Foundation Trust, Poole, UK
      name:The Christie NHS Foundation Trust, Manchester, UK
      name:The Christie NHS Foundation Trust, Manchester, UK
      name:Manchester Cancer Research Centre, University of Manchester, Manchester, UK
      name:Division of Informatics, Imaging and Data Science, Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
      name:Division of Cancer Sciences, University of Manchester, Manchester Royal Infirmary, Manchester, UK
      name:Division of Cancer Sciences, University of Manchester, The Christie NHS Foundation Trust, Manchester, UK

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