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LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Schema
  10. External Links
  11. Analytics And Tracking
  12. Libraries
  13. CDN Services

We are analyzing https://link.springer.com/article/10.1186/bcr274.

Title:
Molecular profiling of breast cancer: portraits but not physiognomy | Breast Cancer Research
Description:
Breast cancers differ in response to treatment and may have a divergent clinical course despite having a similar histopathological appearance. New technology using DNA microarrays provides a systematic method to identify key markers for prognosis and treatment response by profiling thousands of genes expressed in a single cancer. Microarray profiling of 38 invasive breast cancers now confirms striking molecular differences between ductal carcinoma specimens and suggests a new classification for oestrogen-receptor negative breast cancer. Future approaches will need to include methods for high-throughput clinical validation and the ability to analyze microscopic samples.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {πŸ“š}

  • Education
  • Science
  • Health & Fitness

Content Management System {πŸ“}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of link.springer.com 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 Link.springer.com Make Money? {πŸ’Έ}

We can't figure out the monetization strategy.

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. Link.springer.com has a revenue plan, but it's either invisible or we haven't found it.

Keywords {πŸ”}

breast, expression, cancer, gene, article, data, pubmed, google, scholar, analysis, samples, cell, cas, profiling, molecular, microarrays, genes, microarray, epithelial, tumours, cluster, cancers, clinical, dna, set, lines, treatment, patterns, information, large, cdna, arrays, perou, median, basal, hybridization, nature, privacy, cookies, research, number, method, identify, single, ductal, methods, patient, sample, clustering, brown,

Topics {βœ’οΈ}

high-throughput molecular profiling wellcome trust/mrc building dimensional hierarchical clustering adipose-enriched/normal breast //breast-cancer-research er-negative breast cancer high-fidelity mrna amplification lymphocyte-derived cell lines lymph node metastasis primary medical therapy microarray profiles genome-wide expression patterns extensive expression profiling profiling macroscopic specimens gene expression profiling privacy choices/manage cookies breast cancer remains breast cancer secondary advanced breast cancer repetitive cdna hybridizations high-throughput analysis high-throughput clinical validation endothelial cell lines b-cell cluster microarray profiling genome-wide analysis synchronous breast primary breast cancer classifications breast cancer cells molecular profiling author correspondence high resolution analysis normal dna repair adipose cell expression identifying distinct sets high-throughput testing vascular cell lines stratified epithelial cytokeratins alizadeh aa basal epithelial expression basal epithelial cancers paired breast specimens single cancer specimen breast cancers arise invasive ductal carcinomas luminal ductal epithelium tumour material required er-negative cancers european economic area ordering process continues

Questions {❓}

  • Should this new classification of ER-negative cancers become part of the clinical assessment of breast cancer?

Schema {πŸ—ΊοΈ}

WebPage:
      mainEntity:
         headline:Molecular profiling of breast cancer: portraits but not physiognomy
         description:Breast cancers differ in response to treatment and may have a divergent clinical course despite having a similar histopathological appearance. New technology using DNA microarrays provides a systematic method to identify key markers for prognosis and treatment response by profiling thousands of genes expressed in a single cancer. Microarray profiling of 38 invasive breast cancers now confirms striking molecular differences between ductal carcinoma specimens and suggests a new classification for oestrogen-receptor negative breast cancer. Future approaches will need to include methods for high-throughput clinical validation and the ability to analyze microscopic samples.
         datePublished:2000-12-18T00:00:00Z
         dateModified:2000-12-18T00:00:00Z
         pageStart:1
         pageEnd:4
         sameAs:https://doi.org/10.1186/bcr274
         keywords:
            breast cancer
            cDNA microarray
            hierarchical clustering
            molecular profiling
            Cancer Research
            Oncology
            Surgical Oncology
         image:
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fbcr274/MediaObjects/13058_2000_Article_279_Fig1_HTML.jpg
         isPartOf:
            name:Breast Cancer Research
            issn:
               1465-542X
            volumeNumber:3
            type:
               Periodical
               PublicationVolume
         publisher:
            name:BioMed Central
            logo:
               url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
               type:ImageObject
            type:Organization
         author:
               name:James D Brenton
               affiliation:
                     name:Ontario Cancer Institute/Princess Margaret Hospital
                     address:
                        name:Department of Medical Oncology and Hematology, Ontario Cancer Institute/Princess Margaret Hospital, Toronto, Canada
                        type:PostalAddress
                     type:Organization
               email:[email protected]
               type:Person
               name:Samuel AJR Aparicio
               affiliation:
                     name:University of Cambridge
                     address:
                        name:Department of Oncology and Cambridge Institute for Medical Research/Wellcome Trust Centre for Molecular Mechanisms in Disease, University of Cambridge, Cambridge, UK
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Carlos Caldas
               affiliation:
                     name:University of Cambridge
                     address:
                        name:Department of Oncology and Cambridge Institute for Medical Research/Wellcome Trust Centre for Molecular Mechanisms in Disease, University of Cambridge, Cambridge, UK
                        type:PostalAddress
                     type:Organization
               type:Person
         isAccessibleForFree:1
         type:ScholarlyArticle
      context:https://schema.org
ScholarlyArticle:
      headline:Molecular profiling of breast cancer: portraits but not physiognomy
      description:Breast cancers differ in response to treatment and may have a divergent clinical course despite having a similar histopathological appearance. New technology using DNA microarrays provides a systematic method to identify key markers for prognosis and treatment response by profiling thousands of genes expressed in a single cancer. Microarray profiling of 38 invasive breast cancers now confirms striking molecular differences between ductal carcinoma specimens and suggests a new classification for oestrogen-receptor negative breast cancer. Future approaches will need to include methods for high-throughput clinical validation and the ability to analyze microscopic samples.
      datePublished:2000-12-18T00:00:00Z
      dateModified:2000-12-18T00:00:00Z
      pageStart:1
      pageEnd:4
      sameAs:https://doi.org/10.1186/bcr274
      keywords:
         breast cancer
         cDNA microarray
         hierarchical clustering
         molecular profiling
         Cancer Research
         Oncology
         Surgical Oncology
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1186%2Fbcr274/MediaObjects/13058_2000_Article_279_Fig1_HTML.jpg
      isPartOf:
         name:Breast Cancer Research
         issn:
            1465-542X
         volumeNumber:3
         type:
            Periodical
            PublicationVolume
      publisher:
         name:BioMed Central
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:James D Brenton
            affiliation:
                  name:Ontario Cancer Institute/Princess Margaret Hospital
                  address:
                     name:Department of Medical Oncology and Hematology, Ontario Cancer Institute/Princess Margaret Hospital, Toronto, Canada
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
            name:Samuel AJR Aparicio
            affiliation:
                  name:University of Cambridge
                  address:
                     name:Department of Oncology and Cambridge Institute for Medical Research/Wellcome Trust Centre for Molecular Mechanisms in Disease, University of Cambridge, Cambridge, UK
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Carlos Caldas
            affiliation:
                  name:University of Cambridge
                  address:
                     name:Department of Oncology and Cambridge Institute for Medical Research/Wellcome Trust Centre for Molecular Mechanisms in Disease, University of Cambridge, Cambridge, UK
                     type:PostalAddress
                  type:Organization
            type:Person
      isAccessibleForFree:1
["Periodical","PublicationVolume"]:
      name:Breast Cancer Research
      issn:
         1465-542X
      volumeNumber:3
Organization:
      name:BioMed Central
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:Ontario Cancer Institute/Princess Margaret Hospital
      address:
         name:Department of Medical Oncology and Hematology, Ontario Cancer Institute/Princess Margaret Hospital, Toronto, Canada
         type:PostalAddress
      name:University of Cambridge
      address:
         name:Department of Oncology and Cambridge Institute for Medical Research/Wellcome Trust Centre for Molecular Mechanisms in Disease, University of Cambridge, Cambridge, UK
         type:PostalAddress
      name:University of Cambridge
      address:
         name:Department of Oncology and Cambridge Institute for Medical Research/Wellcome Trust Centre for Molecular Mechanisms in Disease, University of Cambridge, Cambridge, UK
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:James D Brenton
      affiliation:
            name:Ontario Cancer Institute/Princess Margaret Hospital
            address:
               name:Department of Medical Oncology and Hematology, Ontario Cancer Institute/Princess Margaret Hospital, Toronto, Canada
               type:PostalAddress
            type:Organization
      email:[email protected]
      name:Samuel AJR Aparicio
      affiliation:
            name:University of Cambridge
            address:
               name:Department of Oncology and Cambridge Institute for Medical Research/Wellcome Trust Centre for Molecular Mechanisms in Disease, University of Cambridge, Cambridge, UK
               type:PostalAddress
            type:Organization
      name:Carlos Caldas
      affiliation:
            name:University of Cambridge
            address:
               name:Department of Oncology and Cambridge Institute for Medical Research/Wellcome Trust Centre for Molecular Mechanisms in Disease, University of Cambridge, Cambridge, UK
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Department of Medical Oncology and Hematology, Ontario Cancer Institute/Princess Margaret Hospital, Toronto, Canada
      name:Department of Oncology and Cambridge Institute for Medical Research/Wellcome Trust Centre for Molecular Mechanisms in Disease, University of Cambridge, Cambridge, UK
      name:Department of Oncology and Cambridge Institute for Medical Research/Wellcome Trust Centre for Molecular Mechanisms in Disease, University of Cambridge, Cambridge, UK

External Links {πŸ”—}(69)

Analytics and Tracking {πŸ“Š}

  • Google Tag Manager

Libraries {πŸ“š}

  • Clipboard.js
  • Prism.js

CDN Services {πŸ“¦}

  • Crossref

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