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  4. Monthly Traffic Estimate
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We began analyzing https://www.nature.com/articles/s41416-019-0634-z, but it redirected us to https://www.nature.com/articles/s41416-019-0634-z. The analysis below is for the second page.

Title[redir]:
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.

Matching Content Categories {📚}

  • Science
  • Education
  • Health & Fitness

Content Management System {📝}

What CMS is doi.org built with?

Custom-built

No common CMS systems were detected on Doi.org, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of doi.org audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Doi.org Make Money? {💸}

We can't figure out the monetization strategy.

Many websites are intended to earn money, but some serve to share ideas or build connections. Websites exist for all kinds of purposes. This might be one of them. Doi.org might be making money, but it's not detectable how they're doing it.

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 {🗺️}

WebPage:
      mainEntity:
         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.
         datePublished:2019-12-06T00:00:00Z
         dateModified:2019-12-06T00:00:00Z
         pageStart:539
         pageEnd:544
         sameAs:https://doi.org/10.1038/s41416-019-0634-z
         keywords:
            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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                        type:PostalAddress
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                        type:PostalAddress
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                     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
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ScholarlyArticle:
      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.
      datePublished:2019-12-06T00:00:00Z
      dateModified:2019-12-06T00:00:00Z
      pageStart:539
      pageEnd:544
      sameAs:https://doi.org/10.1038/s41416-019-0634-z
      keywords:
         Cancer imaging
         Cancer microenvironment
         Head and neck cancer
         Image processing
         Prognostic markers
         Biomedicine
         general
         Cancer Research
         Epidemiology
         Molecular Medicine
         Oncology
         Drug Resistance
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1038%2Fs41416-019-0634-z/MediaObjects/41416_2019_634_Fig1_HTML.png
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1038%2Fs41416-019-0634-z/MediaObjects/41416_2019_634_Fig2_HTML.png
      isPartOf:
         name:British Journal of Cancer
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            1532-1827
            0007-0920
         volumeNumber:122
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            Periodical
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            type:ImageObject
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      author:
            name:Anna Maria Tsakiroglou
            affiliation:
                  name:University of Manchester
                  address:
                     name:Division of Cancer Sciences, University of Manchester, Manchester, UK
                     type:PostalAddress
                  type:Organization
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                  name:University of Manchester
                  address:
                     name:Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, UK
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Ken Oguejiofor
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                  address:
                     name:Dorset Cancer Centre, Poole Hospital NHS Foundation Trust, Poole, UK
                     type:PostalAddress
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            type:Person
            name:Kim Linton
            affiliation:
                  name:The Christie NHS Foundation Trust
                  address:
                     name:The Christie NHS Foundation Trust, Manchester, UK
                     type:PostalAddress
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                  name:The Christie NHS Foundation Trust
                  address:
                     name:The Christie NHS Foundation Trust, Manchester, UK
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Peter L. Stern
            affiliation:
                  name:University of Manchester
                  address:
                     name:Manchester Cancer Research Centre, University of Manchester, Manchester, UK
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Susan Astley
            affiliation:
                  name:University of Manchester
                  address:
                     name:Division of Informatics, Imaging and Data Science, Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
                     type:PostalAddress
                  type:Organization
            type:Person
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            affiliation:
                  name:Manchester Royal Infirmary
                  address:
                     name:Division of Cancer Sciences, University of Manchester, Manchester Royal Infirmary, Manchester, UK
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
            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
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            type:Person
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         type:PostalAddress
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      address:
         name:Dorset Cancer Centre, Poole Hospital NHS Foundation Trust, Poole, UK
         type:PostalAddress
      name:The Christie NHS Foundation Trust
      address:
         name:The Christie NHS Foundation Trust, Manchester, UK
         type:PostalAddress
      name:The Christie NHS Foundation Trust
      address:
         name:The Christie NHS Foundation Trust, Manchester, UK
         type:PostalAddress
      name:University of Manchester
      address:
         name:Manchester Cancer Research Centre, University of Manchester, Manchester, UK
         type:PostalAddress
      name:University of Manchester
      address:
         name:Division of Informatics, Imaging and Data Science, Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
         type:PostalAddress
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      address:
         name:Division of Cancer Sciences, University of Manchester, Manchester Royal Infirmary, Manchester, UK
         type:PostalAddress
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Person:
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      affiliation:
            name:University of Manchester
            address:
               name:Division of Cancer Sciences, University of Manchester, Manchester, UK
               type:PostalAddress
            type:Organization
      name:Martin Fergie
      affiliation:
            name:University of Manchester
            address:
               name:Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, UK
               type:PostalAddress
            type:Organization
      name:Ken Oguejiofor
      affiliation:
            name:Poole Hospital NHS Foundation Trust
            address:
               name:Dorset Cancer Centre, Poole Hospital NHS Foundation Trust, Poole, UK
               type:PostalAddress
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      name:Kim Linton
      affiliation:
            name:The Christie NHS Foundation Trust
            address:
               name:The Christie NHS Foundation Trust, Manchester, UK
               type:PostalAddress
            type:Organization
      name:David Thomson
      affiliation:
            name:The Christie NHS Foundation Trust
            address:
               name:The Christie NHS Foundation Trust, Manchester, UK
               type:PostalAddress
            type:Organization
      name:Peter L. Stern
      affiliation:
            name:University of Manchester
            address:
               name:Manchester Cancer Research Centre, University of Manchester, Manchester, UK
               type:PostalAddress
            type:Organization
      name:Susan Astley
      affiliation:
            name:University of Manchester
            address:
               name:Division of Informatics, Imaging and Data Science, Manchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, UK
               type:PostalAddress
            type:Organization
      name:Richard Byers
      affiliation:
            name:Manchester Royal Infirmary
            address:
               name:Division of Cancer Sciences, University of Manchester, Manchester Royal Infirmary, Manchester, UK
               type:PostalAddress
            type:Organization
      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]
PostalAddress:
      name:Division of Cancer Sciences, University of Manchester, Manchester, UK
      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

Social Networks {👍}(1)

External Links {🔗}(234)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

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  • Zoom.js

Emails and Hosting {✉️}

Mail Servers:

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Name Servers:

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CDN Services {📦}

  • Crossref

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