Circulating MicroRNAs as Non-Invasive Biomarkers for Early Detection of Non-Small-Cell Lung Cancer
- Publication Date
- May 12, 2015
- Journal
- PLOS ONE
- Authors
- Magdalena B. Wozniak, Ghislaine Scelo, David C. Muller, Anush Mukeria, et al
- Volume
- 10
- Issue
- 5
- Pages
- e0125026
- DOI
- https://dx.plos.org/10.1371/journal.pone.0125026
- Publisher URL
- http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0125026
- PubMed
- http://www.ncbi.nlm.nih.gov/pubmed/25965386
- PubMed Central
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4428831
- Europe PMC
- http://europepmc.org/abstract/MED/25965386
- Web of Science
- 000354543500007
- Scopus
- 84930640607
- Mendeley
- http://www.mendeley.com/research/circulating-micrornas-noninvasive-biomarkers-early-detection-nonsmallcell-lung-cancer-2
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Mendeley | Further Information
{"title"=>"Circulating microRNAs as non-invasive biomarkers for early detection of non-small-cell lung cancer", "type"=>"journal", "authors"=>[{"first_name"=>"Magdalena B.", "last_name"=>"Wozniak", "scopus_author_id"=>"35742523900"}, {"first_name"=>"Ghislaine", "last_name"=>"Scelo", "scopus_author_id"=>"9334611100"}, {"first_name"=>"David C.", "last_name"=>"Muller", "scopus_author_id"=>"8050408600"}, {"first_name"=>"Anush", "last_name"=>"Mukeria", "scopus_author_id"=>"6603026158"}, {"first_name"=>"David", "last_name"=>"Zaridze", "scopus_author_id"=>"7005676681"}, {"first_name"=>"Paul", "last_name"=>"Brennan", "scopus_author_id"=>"7402304490"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84930640607", "doi"=>"10.1371/journal.pone.0125026", "pui"=>"604611982", "pmid"=>"25965386", "scopus"=>"2-s2.0-84930640607", "issn"=>"19326203"}, "id"=>"608e978e-76ae-3d0b-a2e7-c980c8b29740", "abstract"=>"BACKGROUND: Detection of lung cancer at an early stage by sensitive screening tests could be an important strategy to improving prognosis. Our objective was to identify a panel of circulating microRNAs in plasma that will contribute to early detection of lung cancer.\\n\\nMATERIAL AND METHODS: Plasma samples from 100 early stage (I to IIIA) non-small-cell lung cancer (NSCLC) patients and 100 non-cancer controls were screened for 754 circulating microRNAs via qRT-PCR, using TaqMan MicroRNA Arrays. Logistic regression with a lasso penalty was used to select a panel of microRNAs that discriminate between cases and controls. Internal validation of model discrimination was conducted by calculating the bootstrap optimism-corrected AUC for the selected model.\\n\\nRESULTS: We identified a panel of 24 microRNAs with optimum classification performance. The combination of these 24 microRNAs alone could discriminate lung cancer cases from non-cancer controls with an AUC of 0.92 (95% CI: 0.87-0.95). This classification improved to an AUC of 0.94 (95% CI: 0.90-0.97) following addition of sex, age and smoking status to the model. Internal validation of the model suggests that the discriminatory power of the panel will be high when applied to independent samples with a corrected AUC of 0.78 for the 24-miRNA panel alone.\\n\\nCONCLUSION: Our 24-microRNA predictor improves lung cancer prediction beyond that of known risk factors.", "link"=>"http://www.mendeley.com/research/circulating-micrornas-noninvasive-biomarkers-early-detection-nonsmallcell-lung-cancer-2", "reader_count"=>36, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Student > Master"=>7, "Other"=>2, "Student > Bachelor"=>3, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Student > Master"=>7, "Other"=>2, "Student > Bachelor"=>3, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Environmental Science"=>1, "Biochemistry, Genetics and Molecular Biology"=>10, "Materials Science"=>1, "Agricultural and Biological Sciences"=>10, "Medicine and Dentistry"=>9, "Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>9}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>10}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>10}, "Unspecified"=>{"Unspecified"=>4}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "reader_count_by_country"=>{"Belgium"=>1, "United States"=>1}, "group_count"=>3}CrossRef
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Scopus | Further Information
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- {"unique-ip"=>"26", "full-text"=>"24", "pdf"=>"15", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
- {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
- {"unique-ip"=>"23", "full-text"=>"25", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
- {"unique-ip"=>"22", "full-text"=>"26", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
- {"unique-ip"=>"16", "full-text"=>"17", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
- {"unique-ip"=>"15", "full-text"=>"14", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
- {"unique-ip"=>"34", "full-text"=>"40", "pdf"=>"17", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
- {"unique-ip"=>"37", "full-text"=>"44", "pdf"=>"16", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"11", "supp-data"=>"7", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
- {"unique-ip"=>"1", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"2"}
- {"unique-ip"=>"23", "full-text"=>"27", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"7", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
- {"unique-ip"=>"21", "full-text"=>"22", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
- {"unique-ip"=>"18", "full-text"=>"14", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
- {"unique-ip"=>"17", "full-text"=>"24", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"12", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
- {"unique-ip"=>"22", "full-text"=>"26", "pdf"=>"10", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
- {"unique-ip"=>"30", "full-text"=>"22", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"9", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
- {"unique-ip"=>"22", "full-text"=>"22", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"10", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
- {"unique-ip"=>"17", "full-text"=>"17", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"5", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
- {"unique-ip"=>"14", "full-text"=>"16", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
- {"unique-ip"=>"14", "full-text"=>"23", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"6", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
- {"unique-ip"=>"21", "full-text"=>"26", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
- {"unique-ip"=>"20", "full-text"=>"21", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
- {"unique-ip"=>"23", "full-text"=>"27", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"16", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
- {"unique-ip"=>"24", "full-text"=>"23", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
- {"unique-ip"=>"21", "full-text"=>"24", "pdf"=>"9", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"5", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
- {"unique-ip"=>"26", "full-text"=>"30", "pdf"=>"13", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
- {"unique-ip"=>"17", "full-text"=>"17", "pdf"=>"9", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
- {"unique-ip"=>"23", "full-text"=>"24", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
Relative Metric
{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}Loading … 

Net::HTTPInternalServerError
Source
CounterTime
2019-04-06 02:41:28 UTCTarget URL
http://counter-101.soma.plos.org/api/v1.0/stats/doi/10.1371%2Fjournal.pone.0125026Trace
/app/models/concerns/networkable.rb:21:in `get_result'
/app/models/source.rb:165:in `get_data'
/app/models/retrieval_status.rb:47:in `perform_get_data'
/app/jobs/source_job.rb:52:in `block (2 levels) in perform'
/app/jobs/source_job.rb:51:in `block in perform'
/app/jobs/source_job.rb:35:in `each'
/app/jobs/source_job.rb:35:in `perform'