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DOI . ORG {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Doi.org Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Schema
  10. Social Networks
  11. External Links
  12. Analytics And Tracking
  13. Libraries
  14. Hosting Providers
  15. CDN Services

We began analyzing https://breast-cancer-research.biomedcentral.com/articles/10.1186/bcr2889, but it redirected us to https://breast-cancer-research.biomedcentral.com/articles/10.1186/bcr2889. The analysis below is for the second page.

Title[redir]:
Choosing the right cell line for breast cancer research | Breast Cancer Research | Full Text
Description:
Breast cancer is a complex and heterogeneous disease. Gene expression profiling has contributed significantly to our understanding of this heterogeneity at a molecular level, refining taxonomy based on simple measures such as histological type, tumour grade, lymph node status and the presence of predictive markers like oestrogen receptor and human epidermal growth factor receptor 2 (HER2) to a more sophisticated classification comprising luminal A, luminal B, basal-like, HER2-positive and normal subgroups. In the laboratory, breast cancer is often modelled using established cell lines. In the present review we discuss some of the issues surrounding the use of breast cancer cell lines as experimental models, in light of these revised clinical classifications, and put forward suggestions for improving their use in translational breast cancer research.

Matching Content Categories {๐Ÿ“š}

  • Education
  • Health & Fitness
  • Telecommunications

Content Management System {๐Ÿ“}

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 {๐Ÿ“ˆ}

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

๐Ÿš„ Respectable Traffic: 10k - 20k visitors per month


Based on our best estimate, this website will receive around 10,019 visitors per month in the current month.
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How Does Doi.org Make Money? {๐Ÿ’ธ}

We don't see any clear sign of profit-making.

While many websites aim to make money, others are created to share knowledge or showcase creativity. People build websites for various reasons. This could be one of them. Doi.org could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {๐Ÿ”}

cancer, breast, cell, pubmed, google, scholar, article, lines, cells, cas, human, line, models, mdamb, central, res, expression, culture, molecular, mammary, growth, luminal, basal, epithelial, threedimensional, research, gene, tumour, metastatic, phenotype, carcinoma, tumours, vitro, normal, derived, biol, profiling, cscs, studies, model, response, tissue, stem, structures, metastasis, authors, heterogeneity, receptor, mcf, study,

Topics {โœ’๏ธ}

springer nature cell-cell adhesion molecules male breast cancer systemic cell-cycle suppression n-terminal recombinant fragment author information authors triple-negative breast cancer branching ductal-alveolar morphogenesis tgf-ฮฒ mediated mechanism phenotype cd44+cd24-/lowlin high-resolution integrated analysis hybrid mouse-human nuclei triple-negative breast cancers her2- positive mda-mb-453 claudin-low mda-mb-231 cd44+cd24-/low phenotype cd44+/cd24-/low phenotype [30] epidermal growth factor authorsโ€™ original file authors scientific editing mda-mb-435 melanoma cells fulvestrant versus anastrozole claudin-low clusters identified claudin-low intrinsic subtype human cell line human breast cancer privacy choices/manage cookies basal cell line cell line models breast cancer cells hollidayย &ย valerie speirs cell line authentication cell line' studies cell line panels human breast cells anti-oestrogens regulated accompany manuscript submission cell line derived breast epithelial growth basal breast cancer human breast carcinomas bmc breast cancer research breast carcinoma cells article holliday cell lines grown single cell line melanoma cell line breast cancer therapies inflammatory breast cancer

Questions {โ“}

  • Burdall SE, Hanby AM, Lansdown MRJ, Speirs V: Breast cancer cell lines: friend or foe?
  • Do current breast cancer cell line models reflect breast cancer heterogeneity?

Schema {๐Ÿ—บ๏ธ}

WebPage:
      mainEntity:
         headline:Choosing the right cell line for breast cancer research
         description:Breast cancer is a complex and heterogeneous disease. Gene expression profiling has contributed significantly to our understanding of this heterogeneity at a molecular level, refining taxonomy based on simple measures such as histological type, tumour grade, lymph node status and the presence of predictive markers like oestrogen receptor and human epidermal growth factor receptor 2 (HER2) to a more sophisticated classification comprising luminal A, luminal B, basal-like, HER2-positive and normal subgroups. In the laboratory, breast cancer is often modelled using established cell lines. In the present review we discuss some of the issues surrounding the use of breast cancer cell lines as experimental models, in light of these revised clinical classifications, and put forward suggestions for improving their use in translational breast cancer research.
         datePublished:2011-08-12T00:00:00Z
         dateModified:2011-08-12T00:00:00Z
         pageStart:1
         pageEnd:7
         sameAs:https://doi.org/10.1186/bcr2889
         keywords:
            Breast Cancer
            Breast Cancer Cell Line
            Fulvestrant
            Male Breast Cancer
            Basal Cell Line
            Cancer Research
            Oncology
            Surgical Oncology
         image:
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         isPartOf:
            name:Breast Cancer Research
            issn:
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            type:
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            name:BioMed Central
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               type:ImageObject
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         author:
               name:Deborah L Holliday
               affiliation:
                     name:University of Leeds
                     address:
                        name:Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Valerie Speirs
               affiliation:
                     name:University of Leeds
                     address:
                        name:Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK
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      context:https://schema.org
ScholarlyArticle:
      headline:Choosing the right cell line for breast cancer research
      description:Breast cancer is a complex and heterogeneous disease. Gene expression profiling has contributed significantly to our understanding of this heterogeneity at a molecular level, refining taxonomy based on simple measures such as histological type, tumour grade, lymph node status and the presence of predictive markers like oestrogen receptor and human epidermal growth factor receptor 2 (HER2) to a more sophisticated classification comprising luminal A, luminal B, basal-like, HER2-positive and normal subgroups. In the laboratory, breast cancer is often modelled using established cell lines. In the present review we discuss some of the issues surrounding the use of breast cancer cell lines as experimental models, in light of these revised clinical classifications, and put forward suggestions for improving their use in translational breast cancer research.
      datePublished:2011-08-12T00:00:00Z
      dateModified:2011-08-12T00:00:00Z
      pageStart:1
      pageEnd:7
      sameAs:https://doi.org/10.1186/bcr2889
      keywords:
         Breast Cancer
         Breast Cancer Cell Line
         Fulvestrant
         Male Breast Cancer
         Basal Cell Line
         Cancer Research
         Oncology
         Surgical Oncology
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fbcr2889/MediaObjects/13058_2011_2719_Fig1_HTML.jpg
      isPartOf:
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            type:ImageObject
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      author:
            name:Deborah L Holliday
            affiliation:
                  name:University of Leeds
                  address:
                     name:Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Valerie Speirs
            affiliation:
                  name:University of Leeds
                  address:
                     name:Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
      isAccessibleForFree:1
["Periodical","PublicationVolume"]:
      name:Breast Cancer Research
      issn:
         1465-542X
      volumeNumber:13
Organization:
      name:BioMed Central
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:University of Leeds
      address:
         name:Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK
         type:PostalAddress
      name:University of Leeds
      address:
         name:Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Deborah L Holliday
      affiliation:
            name:University of Leeds
            address:
               name:Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK
               type:PostalAddress
            type:Organization
      name:Valerie Speirs
      affiliation:
            name:University of Leeds
            address:
               name:Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK
      name:Leeds Institute of Molecular Medicine, University of Leeds, Leeds, UK

External Links {๐Ÿ”—}(410)

Analytics and Tracking {๐Ÿ“Š}

  • Google Tag Manager

Libraries {๐Ÿ“š}

  • Prism.js

Emails and Hosting {โœ‰๏ธ}

Mail Servers:

  • mx.zoho.eu
  • mx2.zoho.eu
  • mx3.zoho.eu

Name Servers:

  • josh.ns.cloudflare.com
  • zita.ns.cloudflare.com

CDN Services {๐Ÿ“ฆ}

  • Crossref

3.98s.