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  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
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We are analyzing https://link.springer.com/article/10.1186/s13058-022-01503-5.

Title:
Gene expression predicts dormant metastatic breast cancer cell phenotype | Breast Cancer Research
Description:
Background Breast cancer can recur months to decades after an initial diagnosis and treatment. The mechanisms that control tumor cell dormancy remain poorly understood, making it difficult to predict which patients will recur and thus benefit from more rigorous screening and treatments. Unfortunately, the extreme rarity of dormant DTCs has been a major obstacle to their study. Methods To overcome this challenge, we developed an efficient system to isolate and study rare dormant breast cancer cells from metastatic organs including bones, which represent a major site of metastasis. After isolation of cells from the long bones, we used single cell RNA-sequencing (scRNA-seq) to profile proliferative and dormant PyMT-Bo1 breast cancer cells. We also compared this signature to dormant versus proliferative tumor cells isolated from the lungs. Finally, we compared our dormant signature to human datasets. Results We identified a group of genes including Cfh, Gas6, Mme and Ogn that were highly expressed in dormant breast cancer cells present in the bone and lung. Expression of these genes had no impact on dormancy in murine models, but their expression correlated with disease-free survival in primary human breast cancer tumors, suggesting that these genes have predictive value in determining which patients are likely to recur. Conclusions Dormant breast cancer cells exhibit a distinct gene expression signature regardless of metastatic site. Genes enriched in dormant breast cancer cells correlate with recurrence-free survival in breast cancer patients.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Science
  • Health & Fitness
  • Education

Content Management System {📝}

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 {📈}

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? {💸}

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. Link.springer.com has a secret sauce for making money, but we can't detect it yet.

Keywords {🔍}

cells, cancer, breast, dormant, bone, pymtbo, cell, genes, pubmed, fig, article, expression, tumor, dormancy, patients, scholar, google, gene, metastatic, mice, cas, additional, analysis, central, dtcs, lung, file, scrnaseq, bones, found, signature, identified, cfh, gas, expressed, dormancyrelated, proliferative, marrow, fluorescence, data, isolation, ogn, proliferation, injection, including, isolated, mme, disseminated, system, survival,

Topics {✒️}

h2-kd-restricted ctl epitope tri-labeled pymt-bo1 cells plenti-cas9-p2a-puro plasmid col-i-enriched fibrotic environment article download pdf magnetic-activated cell sorting tgf-beta2-induced dormancy single cell rna-sequencing single-cell plate sorting 150 mg/kg d-luciferin photons/sec/cm2/sr rarbeta-driven quiescence programmes poorer relapse-free survival step qrt-pcr kit single-cell sequencing technologies 15 mg/ml d-luciferin large single-centre analysis parental pymt-bo1 cells pymt-bo1 tumor cells label pymt-bo1 cells pymt-bo1 cell division + dormant pymt-bo1 cells dormant pymt-bo1 cells + pymt-bo1 cell proliferation identify pymt-bo1 cells 2 mg/ml collagenase type mapple + tumor cell nucleus transduced pymt-bo1 cells full access proliferative pymt-bo1 cells proliferative pymt-bo1 cells + pymt-bo1 cells isolated tri giang phan & peter grcm38/mm10 mouse genome pymt-bo1 labeling strategy kaplan–meier plots long-term cell tracking common dormancy-related genes breast cancer cell dormant pymt-bo1 isolation dormancy gene-ko d2 published maps individual dormancy-related genes + pymt-bo1 cells represent analyzed pymt-bo1 cells downstream scrna-seq analysis h2b-mapple fusion gene released pymt-bo1 cells chemotherapy-induced bone loss qrt-pcr validation results

Questions {❓}

  • These findings raise important questions including, (1) when do disseminated tumor cells (DTCs) leave the primary site and (2) what controls whether they go on to form deadly metastatic disease?

Schema {🗺️}

WebPage:
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         headline:Gene expression predicts dormant metastatic breast cancer cell phenotype
         description:Breast cancer can recur months to decades after an initial diagnosis and treatment. The mechanisms that control tumor cell dormancy remain poorly understood, making it difficult to predict which patients will recur and thus benefit from more rigorous screening and treatments. Unfortunately, the extreme rarity of dormant DTCs has been a major obstacle to their study. To overcome this challenge, we developed an efficient system to isolate and study rare dormant breast cancer cells from metastatic organs including bones, which represent a major site of metastasis. After isolation of cells from the long bones, we used single cell RNA-sequencing (scRNA-seq) to profile proliferative and dormant PyMT-Bo1 breast cancer cells. We also compared this signature to dormant versus proliferative tumor cells isolated from the lungs. Finally, we compared our dormant signature to human datasets. We identified a group of genes including Cfh, Gas6, Mme and Ogn that were highly expressed in dormant breast cancer cells present in the bone and lung. Expression of these genes had no impact on dormancy in murine models, but their expression correlated with disease-free survival in primary human breast cancer tumors, suggesting that these genes have predictive value in determining which patients are likely to recur. Dormant breast cancer cells exhibit a distinct gene expression signature regardless of metastatic site. Genes enriched in dormant breast cancer cells correlate with recurrence-free survival in breast cancer patients.
         datePublished:2022-01-29T00:00:00Z
         dateModified:2022-01-29T00:00:00Z
         pageStart:1
         pageEnd:16
         license:http://creativecommons.org/publicdomain/zero/1.0/
         sameAs:https://doi.org/10.1186/s13058-022-01503-5
         keywords:
            Dormancy
            scRNA-seq
            Biomarkers
            Breast cancer
            Disseminated tumor cell
            Cancer Research
            Oncology
            Surgical Oncology
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      headline:Gene expression predicts dormant metastatic breast cancer cell phenotype
      description:Breast cancer can recur months to decades after an initial diagnosis and treatment. The mechanisms that control tumor cell dormancy remain poorly understood, making it difficult to predict which patients will recur and thus benefit from more rigorous screening and treatments. Unfortunately, the extreme rarity of dormant DTCs has been a major obstacle to their study. To overcome this challenge, we developed an efficient system to isolate and study rare dormant breast cancer cells from metastatic organs including bones, which represent a major site of metastasis. After isolation of cells from the long bones, we used single cell RNA-sequencing (scRNA-seq) to profile proliferative and dormant PyMT-Bo1 breast cancer cells. We also compared this signature to dormant versus proliferative tumor cells isolated from the lungs. Finally, we compared our dormant signature to human datasets. We identified a group of genes including Cfh, Gas6, Mme and Ogn that were highly expressed in dormant breast cancer cells present in the bone and lung. Expression of these genes had no impact on dormancy in murine models, but their expression correlated with disease-free survival in primary human breast cancer tumors, suggesting that these genes have predictive value in determining which patients are likely to recur. Dormant breast cancer cells exhibit a distinct gene expression signature regardless of metastatic site. Genes enriched in dormant breast cancer cells correlate with recurrence-free survival in breast cancer patients.
      datePublished:2022-01-29T00:00:00Z
      dateModified:2022-01-29T00:00:00Z
      pageStart:1
      pageEnd:16
      license:http://creativecommons.org/publicdomain/zero/1.0/
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      keywords:
         Dormancy
         scRNA-seq
         Biomarkers
         Breast cancer
         Disseminated tumor cell
         Cancer Research
         Oncology
         Surgical Oncology
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         name:BioMed Central
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      author:
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                  type:Organization
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                     name:St Vincent’s Clinical School, Faculty of Medicine and Healthy, UNSW Sydney, Sydney, Australia
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                     type:PostalAddress
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                     name:St Vincent’s Clinical School, Faculty of Medicine and Healthy, UNSW Sydney, Sydney, Australia
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                     type:PostalAddress
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            url:http://orcid.org/0000-0002-2260-9576
            affiliation:
                  name:Washington University School of Medicine
                  address:
                     name:Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, USA
                     type:PostalAddress
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                     name:Department of Medicine, Washington University School of Medicine, St. Louis, USA
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                     name:Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
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            name:Washington University School of Medicine
            address:
               name:Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
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            name:Washington University School of Medicine
            address:
               name:Department of Medicine, Washington University School of Medicine, St. Louis, USA
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            name:Washington University School of Medicine
            address:
               name:Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
            type:Organization
            name:Washington University School of Medicine
            address:
               name:ICCE Institute, Washington University School of Medicine, St. Louis, USA
               type:PostalAddress
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      email:[email protected]
PostalAddress:
      name:Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, USA
      name:Garvan Institute of Medical Research, Sydney, Australia
      name:St Vincent’s Clinical School, Faculty of Medicine and Healthy, UNSW Sydney, Sydney, Australia
      name:Garvan Institute of Medical Research, Sydney, Australia
      name:St Vincent’s Clinical School, Faculty of Medicine and Healthy, UNSW Sydney, Sydney, Australia
      name:Garvan Institute of Medical Research, Sydney, Australia
      name:St Vincent’s Clinical School, Faculty of Medicine and Healthy, UNSW Sydney, Sydney, Australia
      name:Garvan Institute of Medical Research, Sydney, Australia
      name:St Vincent’s Clinical School, Faculty of Medicine and Healthy, UNSW Sydney, Sydney, Australia
      name:Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, USA
      name:Department of Medicine, Washington University School of Medicine, St. Louis, USA
      name:Siteman Cancer Center, Washington University School of Medicine, St. Louis, USA
      name:ICCE Institute, Washington University School of Medicine, St. Louis, USA

External Links {🔗}(234)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

  • Clipboard.js
  • Prism.js

CDN Services {📦}

  • Crossref

4.69s.