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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
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We began analyzing https://link.springer.com/article/10.1007/s10549-013-2699-3, but it redirected us to https://link.springer.com/article/10.1007/s10549-013-2699-3. The analysis below is for the second page.

Title[redir]:
The molecular diversity of Luminal A breast tumors | Breast Cancer Research and Treatment
Description:
Breast cancer is a collection of diseases with distinct molecular traits, prognosis, and therapeutic options. Luminal A breast cancer is the most heterogeneous, both molecularly and clinically. Using genomic data from over 1,000 Luminal A tumors from multiple studies, we analyzed the copy number and mutational landscape of this tumor subtype. This integrated analysis revealed four major subtypes defined by distinct copy-number and mutation profiles. We identified an atypical Luminal A subtype characterized by high genomic instability, TP53 mutations, and increased Aurora kinase signaling; these genomic alterations lead to a worse clinical prognosis. Aberrations of chromosomes 1, 8, and 16, together with PIK3CA, GATA3, AKT1, and MAP3K1 mutations drive the other subtypes. Finally, an unbiased pathway analysis revealed multiple rare, but mutually exclusive, alterations linked to loss of activity of co-repressor complexes N-Cor and SMRT. These rare alterations were the most prevalent in Luminal A tumors and may predict resistance to endocrine therapy. Our work provides for a further molecular stratification of Luminal A breast tumors, with potential direct clinical implications.

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?

🏙️ Massive Traffic: 50M - 100M visitors per month


Based on our best estimate, this website will receive around 96,105,781 visitors per month in the current month.

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How Does Doi.org Make Money? {💸}

We can't see how the site brings in money.

Websites don't always need to be profitable; some serve as platforms for education or personal expression. Websites can serve multiple purposes. And this might be one of them. Doi.org has a revenue plan, but it's either invisible or we haven't found it.

Keywords {🔍}

cancer, breast, luminal, tumors, mutations, article, number, google, scholar, pubmed, copy, cas, genes, analysis, alterations, genomic, dataset, fig, multiple, cnh, mapk, subtypes, clinical, table, samples, data, subtype, tcga, tumor, expression, clusters, gene, loss, cluster, molecular, mutation, high, shows, identified, characterized, pikca, survival, somatic, recurrent, distinct, metabric, cna, observed, amplification, size,

Topics {✒️}

tamoxifen-bound estrogen receptor-alpha org/web/packages/survival/index 8p−/8q+/16p+/16q− pattern observed article download pdf relapsed classic e-cadherin mitotic serine/threonine kinase triple-negative breast cancer open software development pre-processed acgh data european genome–phenome archive node-negative breast cancer suggesting bi-allelic inactivation regulating er-α transcription growth factor receptors ras/erk signaling cascades copy number-driven clusters dark blue frame-shift cancer genome atlas gene-expression-based predictors subtype-specific genomic events 8p−/8q+/16p+/16q− tamoxifen anti-proliferative effects lobular breast cancer research-based versions pam50 mrna-derived signatures breast cancer prognosis/prediction nonsense/light blue missense promote er-driven proliferation reduced jnk signaling human breast tumours human colorectal cancers full access breast cancer based breast cancer cells �mitotic cell cycle” highlighting multiple ways privacy choices/manage cookies splicing factor sf3b1 identifies distinct subgroups identifies micro-pathways dna homozygous deletion mutual exclusivity analysis mutual exclusivity modules advanced breast cancer defining breast cancer breast cancer pathophysiologies breast cancer detected metastatic breast cancer breast cancer chemoresistance comprehensive genomic profile

Questions {❓}

  • Dar AA et al (2010) Aurora kinase inhibitors—rising stars in cancer therapeutics?
  • Kapp AV, Tibshirani R (2007) Are clusters found in one dataset present in another dataset?

Schema {🗺️}

WebPage:
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         headline:The molecular diversity of Luminal A breast tumors
         description:Breast cancer is a collection of diseases with distinct molecular traits, prognosis, and therapeutic options. Luminal A breast cancer is the most heterogeneous, both molecularly and clinically. Using genomic data from over 1,000 Luminal A tumors from multiple studies, we analyzed the copy number and mutational landscape of this tumor subtype. This integrated analysis revealed four major subtypes defined by distinct copy-number and mutation profiles. We identified an atypical Luminal A subtype characterized by high genomic instability, TP53 mutations, and increased Aurora kinase signaling; these genomic alterations lead to a worse clinical prognosis. Aberrations of chromosomes 1, 8, and 16, together with PIK3CA, GATA3, AKT1, and MAP3K1 mutations drive the other subtypes. Finally, an unbiased pathway analysis revealed multiple rare, but mutually exclusive, alterations linked to loss of activity of co-repressor complexes N-Cor and SMRT. These rare alterations were the most prevalent in Luminal A tumors and may predict resistance to endocrine therapy. Our work provides for a further molecular stratification of Luminal A breast tumors, with potential direct clinical implications.
         datePublished:2013-10-06T00:00:00Z
         dateModified:2013-10-06T00:00:00Z
         pageStart:409
         pageEnd:420
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            Luminal A breast cancer
            Breast cancer genomics
            Oncology
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      headline:The molecular diversity of Luminal A breast tumors
      description:Breast cancer is a collection of diseases with distinct molecular traits, prognosis, and therapeutic options. Luminal A breast cancer is the most heterogeneous, both molecularly and clinically. Using genomic data from over 1,000 Luminal A tumors from multiple studies, we analyzed the copy number and mutational landscape of this tumor subtype. This integrated analysis revealed four major subtypes defined by distinct copy-number and mutation profiles. We identified an atypical Luminal A subtype characterized by high genomic instability, TP53 mutations, and increased Aurora kinase signaling; these genomic alterations lead to a worse clinical prognosis. Aberrations of chromosomes 1, 8, and 16, together with PIK3CA, GATA3, AKT1, and MAP3K1 mutations drive the other subtypes. Finally, an unbiased pathway analysis revealed multiple rare, but mutually exclusive, alterations linked to loss of activity of co-repressor complexes N-Cor and SMRT. These rare alterations were the most prevalent in Luminal A tumors and may predict resistance to endocrine therapy. Our work provides for a further molecular stratification of Luminal A breast tumors, with potential direct clinical implications.
      datePublished:2013-10-06T00:00:00Z
      dateModified:2013-10-06T00:00:00Z
      pageStart:409
      pageEnd:420
      sameAs:https://doi.org/10.1007/s10549-013-2699-3
      keywords:
         Luminal A breast cancer
         Breast cancer genomics
         Oncology
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            affiliation:
                  name:University of North Carolina
                  address:
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                     name:Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA
                     type:PostalAddress
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            address:
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               type:PostalAddress
            type:Organization
      name:Anders S. Jacobsen
      affiliation:
            name:Memorial Sloan-Kettering Cancer Center
            address:
               name:Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA
               type:PostalAddress
            type:Organization
      name:Boris Reva
      affiliation:
            name:Memorial Sloan-Kettering Cancer Center
            address:
               name:Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA
               type:PostalAddress
            type:Organization
      name:Charles M. Perou
      affiliation:
            name:University of North Carolina
            address:
               name:Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA
               type:PostalAddress
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      name:Chris Sander
      affiliation:
            name:Memorial Sloan-Kettering Cancer Center
            address:
               name:Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA
               type:PostalAddress
            type:Organization
      name:Nikolaus Schultz
      affiliation:
            name:Memorial Sloan-Kettering Cancer Center
            address:
               name:Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA
      name:Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA
      name:Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA
      name:Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA
      name:Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA
      name:Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA
      name:Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA
      name:Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA

External Links {🔗}(305)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

  • Clipboard.js
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  • Prism.js

Emails and Hosting {✉️}

Mail Servers:

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Name Servers:

  • josh.ns.cloudflare.com
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CDN Services {📦}

  • Crossref

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