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NATURE . COM {}

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  2. Matching Content Categories
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  4. Monthly Traffic Estimate
  5. How Does Nature.com Make Money
  6. How Much Does Nature.com Make
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We are analyzing https://www.nature.com/articles/s41698-021-00168-1.

Title:
Patient-derived organoids as a predictive biomarker for treatment response in cancer patients | npj Precision Oncology
Description:
Effective predictive biomarkers are needed to enable personalized medicine and increase treatment efficacy and survival for cancer patients, thereby reducing toxic side effects and treatment costs. Patient-derived organoids (PDOs) enable individualized tumour response testing. Since 2018, 17 publications have examined PDOs as a potential predictive biomarker in the treatment of cancer patients. We review and provide a pooled analysis of the results regarding the use of PDOs in individualized tumour response testing, focusing on evidence for analytical validity, clinical validity and clinical utility. We identify future perspectives to accelerate the implementation of PDOs as a predictive biomarker in the treatment of cancer patients.
Website Age:
30 years and 10 months (reg. 1994-08-11).

Matching Content Categories {πŸ“š}

  • Health & Fitness
  • Education
  • Science

Content Management System {πŸ“}

What CMS is nature.com built with?

Custom-built

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

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of nature.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.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Nature.com Make Money? {πŸ’Έ}


Display Ads {🎯}


The website utilizes display ads within its content to generate revenue. Check the next section for further revenue estimates.

Ads are managed by yourbow.com. Particular relationships are as follows:

Direct Advertisers (10)
google.com, pmc.com, doceree.com, yourbow.com, audienciad.com, onlinemediasolutions.com, advibe.media, aps.amazon.com, getmediamx.com, onomagic.com

Reseller Advertisers (38)
conversantmedia.com, rubiconproject.com, pubmatic.com, appnexus.com, openx.com, smartadserver.com, lijit.com, sharethrough.com, video.unrulymedia.com, google.com, yahoo.com, triplelift.com, onetag.com, sonobi.com, contextweb.com, 33across.com, indexexchange.com, media.net, themediagrid.com, adform.com, richaudience.com, sovrn.com, improvedigital.com, freewheel.tv, smaato.com, yieldmo.com, amxrtb.com, adyoulike.com, adpone.com, criteo.com, smilewanted.com, 152media.info, e-planning.net, smartyads.com, loopme.com, opera.com, mediafuse.com, betweendigital.com

How Much Does Nature.com Make? {πŸ’°}


Display Ads {🎯}

$63,100 per month
Our analysis indicates Nature.com generates between $42,042 and $115,616 monthly online from display ads.

Keywords {πŸ”}

patients, drug, response, treatment, results, clinical, pdos, cancer, pdo, studies, article, screen, tumour, predictive, pubmed, google, scholar, organoids, cas, screens, organoid, study, cell, biomarker, heterogeneity, reported, validity, patient, establishment, nature, patientderived, pdobased, table, analysis, pooled, tissue, receiving, sensitivity, screening, reporting, testing, treatments, trial, individualized, predict, size, utrecht, data, disease, central,

Topics {βœ’οΈ}

nature portfolio privacy policy editing descriptive nature advertising library screening social media nature 452 nature 574 nature 539 nature 3d-based chemical screening language reprints patient-specific immune-enhanced organoids pre-defined index test preclinical research development patient-derived tumor organoids patient tumor-derived organoids undefined differentiation-inducing components16 research design ultra-high-throughput screening large libraries future research pdo patient-derived organoid serum-free growth factors animal-derived growth factors40 patients received pdo-guided patient-derived cancer organoids large-scale genomic testing adapted crc-focused panel organoid-based preclinical model mechano-modulatory synthetic niches medium-throughput drug screening mono-culture pdo models effective anti-cancer treatments animal-derived extracellular matrices pdo-guided treatment compared vitro dose-response assays increases access drug response-based cut clinical recurrence-free survival permissions end point read-outs provide pdo-guided treatment metastatic gastrointestinal cancers libraries intra-patient heterogeneity colorectal peritoneal metastases

Schema {πŸ—ΊοΈ}

WebPage:
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         headline:Patient-derived organoids as a predictive biomarker for treatment response in cancer patients
         description:Effective predictive biomarkers are needed to enable personalized medicine and increase treatment efficacy and survival for cancer patients, thereby reducing toxic side effects and treatment costs. Patient-derived organoids (PDOs) enable individualized tumour response testing. Since 2018, 17 publications have examined PDOs as a potential predictive biomarker in the treatment of cancer patients. We review and provide a pooled analysis of the results regarding the use of PDOs in individualized tumour response testing, focusing on evidence for analytical validity, clinical validity and clinical utility. We identify future perspectives to accelerate the implementation of PDOs as a predictive biomarker in the treatment of cancer patients.
         datePublished:2021-04-12T00:00:00Z
         dateModified:2021-04-12T00:00:00Z
         pageStart:1
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         license:http://creativecommons.org/licenses/by/4.0/
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ScholarlyArticle:
      headline:Patient-derived organoids as a predictive biomarker for treatment response in cancer patients
      description:Effective predictive biomarkers are needed to enable personalized medicine and increase treatment efficacy and survival for cancer patients, thereby reducing toxic side effects and treatment costs. Patient-derived organoids (PDOs) enable individualized tumour response testing. Since 2018, 17 publications have examined PDOs as a potential predictive biomarker in the treatment of cancer patients. We review and provide a pooled analysis of the results regarding the use of PDOs in individualized tumour response testing, focusing on evidence for analytical validity, clinical validity and clinical utility. We identify future perspectives to accelerate the implementation of PDOs as a predictive biomarker in the treatment of cancer patients.
      datePublished:2021-04-12T00:00:00Z
      dateModified:2021-04-12T00:00:00Z
      pageStart:1
      pageEnd:13
      license:http://creativecommons.org/licenses/by/4.0/
      sameAs:https://doi.org/10.1038/s41698-021-00168-1
      keywords:
         Cancer therapy
         Predictive markers
         Translational research
         Medicine/Public Health
         general
         Internal Medicine
         Cancer Research
         Human Genetics
         Oncology
         Gene Therapy
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         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1038%2Fs41698-021-00168-1/MediaObjects/41698_2021_168_Fig1_HTML.png
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                     name:Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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            type:Person
            name:Sjoerd G. Elias
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                  name:Utrecht University
                  address:
                     name:Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
                     type:PostalAddress
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                     name:Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
                     type:PostalAddress
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                     name:Foundation Hubrecht Organoid Technology (HUB), Utrecht, the Netherlands
                     type:PostalAddress
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            name:Onno W. Kranenburg
            affiliation:
                  name: Utrecht University
                  address:
                     name:Department of Surgical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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      address:
         name:Department of Surgical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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               type:PostalAddress
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      affiliation:
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            address:
               name:Department of Surgical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
               type:PostalAddress
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            name: Utrecht University
            address:
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      name:Jeanine M. L. Roodhart
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            address:
               name:Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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      name:Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
      name:Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
      name:Foundation Hubrecht Organoid Technology (HUB), Utrecht, the Netherlands
      name:Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
      name:Foundation Hubrecht Organoid Technology (HUB), Utrecht, the Netherlands
      name:Department of Surgical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
      name:Utrecht Platform for Organoid Technology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
      name:Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands

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