Circulating MicroRNA-26a in Plasma and Its Potential Diagnostic Value in Gastric Cancer
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{"title"=>"Circulating MicroRNA-26a in plasma and its potential diagnostic value in gastric cancer", "type"=>"journal", "authors"=>[{"first_name"=>"Xiaonan", "last_name"=>"Qiu", "scopus_author_id"=>"56532983600"}, {"first_name"=>"Jinyue", "last_name"=>"Zhang", "scopus_author_id"=>"57188660117"}, {"first_name"=>"Weihong", "last_name"=>"Shi", "scopus_author_id"=>"56059841300"}, {"first_name"=>"Sang", "last_name"=>"Liu", "scopus_author_id"=>"55965336300"}, {"first_name"=>"Meiyun", "last_name"=>"Kang", "scopus_author_id"=>"55609249800"}, {"first_name"=>"Haiyan", "last_name"=>"Chu", "scopus_author_id"=>"36614007100"}, {"first_name"=>"Dongmei", "last_name"=>"Wu", "scopus_author_id"=>"57191886294"}, {"first_name"=>"Na", "last_name"=>"Tong", "scopus_author_id"=>"25226159900"}, {"first_name"=>"Weida", "last_name"=>"Gong", "scopus_author_id"=>"8868454200"}, {"first_name"=>"Guoquan", "last_name"=>"Tao", "scopus_author_id"=>"47161721800"}, {"first_name"=>"Qinghong", "last_name"=>"Zhao", "scopus_author_id"=>"55479207500"}, {"first_name"=>"Fulin", "last_name"=>"Qiang", "scopus_author_id"=>"36101662200"}, {"first_name"=>"Haixia", "last_name"=>"Zhu", "scopus_author_id"=>"14520613100"}, {"first_name"=>"Qin", "last_name"=>"Wu", "scopus_author_id"=>"57188652386"}, {"first_name"=>"Meilin", "last_name"=>"Wang", "scopus_author_id"=>"56151035900"}, {"first_name"=>"Zhengdong", "last_name"=>"Zhang", "scopus_author_id"=>"55608623600"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84962090130", "pui"=>"609303819", "doi"=>"10.1371/journal.pone.0151345", "issn"=>"19326203", "scopus"=>"2-s2.0-84962090130", "isbn"=>"2013009212006", "pmid"=>"27010210"}, "id"=>"fe0ba69f-416d-3389-ae8f-c3d97f020c96", "abstract"=>"BACKGROUND: In the past decades, a good deal of studies has provided the possibility of the circulating microRNAs (miRNAs) as noninvasive biomarkers for cancer diagnosis. The aim of our study was to detect the levels of circulating miRNAs in tissues and plasmas of gastric cancer (GC) patients and evaluate their diagnostic value.\\r\\n\\r\\nMETHODS: Tissue samples were collected from 85 GC patients. Plasma samples were collected from 285 GC patients and 285 matched controls. Differentially expressed miRNAs were filtered with by Agilent Human miRNA Microarray and TaqMan low density array (TLDA) with pooled samples, followed by the quantitative reverse transcription polymerase chain reaction (qRT-PCR) validation. Receiver operating characteristic (ROC) curves were structured to evaluate the diagnostic accuracy of the miRNAs. The plasma level of miR-26a in GC patients of different clinical stages was compared.\\r\\n\\r\\nRESULTS: Four miRNAs (miR-26a, miR-142-3p, miR-148a, and miR-195) revealed coincidentally decreased levels in tissue and plasma of the GC patients compared with controls, and ROC curves were constructed to demonstrate that miR-26a had a highest area under the ROC curve (AUC) of 0.882. Furthermore, miR-26a was stably detected in the plasma of GC patients with different clinical characteristics.\\r\\n\\r\\nCONCLUSION: Plasma miR-26a may provide a novel and stable marker of gastric cancer.", "link"=>"http://www.mendeley.com/research/circulating-microrna26a-plasma-potential-diagnostic-value-gastric-cancer", "reader_count"=>18, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>2, "Researcher"=>6, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>4, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>2, "Researcher"=>6, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>4, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Biochemistry, Genetics and Molecular Biology"=>5, "Medicine and Dentistry"=>5, "Agricultural and Biological Sciences"=>4}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>5}, "Unspecified"=>{"Unspecified"=>4}}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/4883083"], "description"=>"<p>A flow chart of the experimental design.</p>", "links"=>[], "tags"=>["ROC", "GC patients", "AUC", "sample", "Gastric Cancer BackgroundIn", "Potential Diagnostic Value", "85 GC patients", "285 GC patients", "transcription polymerase chain reaction", "TLDA", "plasma", "Agilent Human miRNA Microarray"], "article_id"=>3140593, "categories"=>["Biophysics", "Biochemistry", "Medicine", "Cell Biology", "Genetics", "Molecular Biology", "Biotechnology", "Chemical Sciences not elsewhere classified", "Developmental Biology", "Marine Biology", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Xiaonan Qiu", "Jinyue Zhang", "Weihong Shi", "Sang Liu", "Meiyun Kang", "Haiyan Chu", "Dongmei Wu", "Na Tong", "Weida Gong", "Guoquan Tao", "Qinghong Zhao", "Fulin Qiang", "Haixia Zhu", "Qin Wu", "Meilin Wang", "Zhengdong Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151345.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/A_flow_chart_of_the_experimental_design_/3140593", "title"=>"A flow chart of the experimental design.", "pos_in_sequence"=>2, "defined_type"=>1, "published_date"=>"2016-03-24 07:01:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/4883158"], "description"=>"<p>Box plots showed the plasma levels of miR-26a (A), miR-142-3p (B), miR-148a (C) and miR-195 (D) in 200 gastric cancer patients and 200 age- and gender-matched healthy controls. The y axis represents relative expression of miRNAs normalized to cel-miR-39 (Log<sub>10</sub> relative level).</p>", "links"=>[], "tags"=>["ROC", "GC patients", "AUC", "sample", "Gastric Cancer BackgroundIn", "Potential Diagnostic Value", "85 GC patients", "285 GC patients", "transcription polymerase chain reaction", "TLDA", "plasma", "Agilent Human miRNA Microarray"], "article_id"=>3140647, "categories"=>["Biophysics", "Biochemistry", "Medicine", "Cell Biology", "Genetics", "Molecular Biology", "Biotechnology", "Chemical Sciences not elsewhere classified", "Developmental Biology", "Marine Biology", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Xiaonan Qiu", "Jinyue Zhang", "Weihong Shi", "Sang Liu", "Meiyun Kang", "Haiyan Chu", "Dongmei Wu", "Na Tong", "Weida Gong", "Guoquan Tao", "Qinghong Zhao", "Fulin Qiang", "Haixia Zhu", "Qin Wu", "Meilin Wang", "Zhengdong Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151345.g003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Plasma_levels_of_four_miRNAs_in_the_validation_phase_/3140647", "title"=>"Plasma levels of four miRNAs in the validation phase.", "pos_in_sequence"=>4, "defined_type"=>1, "published_date"=>"2016-03-24 07:01:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/4883209"], "description"=>"<p>ROC curves were constructed to show AUCs of miR-26a (A), miR-142-3p (B), miR-148a (C), miR-195 (D) and the combination of four miRNAs (E).</p>", "links"=>[], "tags"=>["ROC", "GC patients", "AUC", "sample", "Gastric Cancer BackgroundIn", "Potential Diagnostic Value", "85 GC patients", "285 GC patients", "transcription polymerase chain reaction", "TLDA", "plasma", "Agilent Human miRNA Microarray"], "article_id"=>3140680, "categories"=>["Biophysics", "Biochemistry", "Medicine", "Cell Biology", "Genetics", "Molecular Biology", "Biotechnology", "Chemical Sciences not elsewhere classified", "Developmental Biology", "Marine Biology", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Xiaonan Qiu", "Jinyue Zhang", "Weihong Shi", "Sang Liu", "Meiyun Kang", "Haiyan Chu", "Dongmei Wu", "Na Tong", "Weida Gong", "Guoquan Tao", "Qinghong Zhao", "Fulin Qiang", "Haixia Zhu", "Qin Wu", "Meilin Wang", "Zhengdong Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151345.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/ROC_curve_analysis_using_four_miRNAs_for_discriminating_GC_patients_from_healthy_controls_/3140680", "title"=>"ROC curve analysis using four miRNAs for discriminating GC patients from healthy controls.", "pos_in_sequence"=>5, "defined_type"=>1, "published_date"=>"2016-03-24 07:01:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/4883119"], "description"=>"<p>(A-D) Relative expression levels of miR-26a, miR-142-3p, miR-148a, miR-195, in 50 paired gastric cancer tissues and corresponding noncancerous tissues (log<sub>10</sub> scale on Y -axis). (E-H) Plasma expression levels of miR-26a, miR-142-3p, miR-148a, miR-195, in 80 GC patients and 80 healthy controls. The lines inside the boxes denote the medians (log<sub>10</sub> scale on Y -axis). The whiskers of box plots: Min to Max.</p>", "links"=>[], "tags"=>["ROC", "GC patients", "AUC", "sample", "Gastric Cancer BackgroundIn", "Potential Diagnostic Value", "85 GC patients", "285 GC patients", "transcription polymerase chain reaction", "TLDA", "plasma", "Agilent Human miRNA Microarray"], "article_id"=>3140617, "categories"=>["Biophysics", "Biochemistry", "Medicine", "Cell Biology", "Genetics", "Molecular Biology", "Biotechnology", "Chemical Sciences not elsewhere classified", "Developmental Biology", "Marine Biology", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Xiaonan Qiu", "Jinyue Zhang", "Weihong Shi", "Sang Liu", "Meiyun Kang", "Haiyan Chu", "Dongmei Wu", "Na Tong", "Weida Gong", "Guoquan Tao", "Qinghong Zhao", "Fulin Qiang", "Haixia Zhu", "Qin Wu", "Meilin Wang", "Zhengdong Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151345.g002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Box_plots_of_relative_expression_levels_of_miRNAs_by_qRT_PCR_in_the_training_phases_/3140617", "title"=>"Box plots of relative expression levels of miRNAs by qRT-PCR in the training phases.", "pos_in_sequence"=>3, "defined_type"=>1, "published_date"=>"2016-03-24 07:01:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/4883011", "https://ndownloader.figshare.com/files/4883014", "https://ndownloader.figshare.com/files/4883023", "https://ndownloader.figshare.com/files/4883038", "https://ndownloader.figshare.com/files/4883041", "https://ndownloader.figshare.com/files/4883056"], "description"=>"<div><p>Background</p><p>In the past decades, a good deal of studies has provided the possibility of the circulating microRNAs (miRNAs) as noninvasive biomarkers for cancer diagnosis. The aim of our study was to detect the levels of circulating miRNAs in tissues and plasmas of gastric cancer (GC) patients and evaluate their diagnostic value.</p><p>Methods</p><p>Tissue samples were collected from 85 GC patients. Plasma samples were collected from 285 GC patients and 285 matched controls. Differentially expressed miRNAs were filtered with by Agilent Human miRNA Microarray and TaqMan low density array (TLDA) with pooled samples, followed by the quantitative reverse transcription polymerase chain reaction (qRT-PCR) validation. Receiver operating characteristic (ROC) curves were structured to evaluate the diagnostic accuracy of the miRNAs. The plasma level of miR-26a in GC patients of different clinical stages was compared.</p><p>Results</p><p>Four miRNAs (miR-26a, miR-142-3p, miR-148a, and miR-195) revealed coincidentally decreased levels in tissue and plasma of the GC patients compared with controls, and ROC curves were constructed to demonstrate that miR-26a had a highest area under the ROC curve (AUC) of 0.882. Furthermore, miR-26a was stably detected in the plasma of GC patients with different clinical characteristics.</p><p>Conclusion</p><p>Plasma miR-26a may provide a novel and stable marker of gastric cancer.</p></div>", "links"=>[], "tags"=>["ROC", "GC patients", "AUC", "sample", "Gastric Cancer BackgroundIn", "Potential Diagnostic Value", "85 GC patients", "285 GC patients", "transcription polymerase chain reaction", "TLDA", "plasma", "Agilent Human miRNA Microarray"], "article_id"=>3140554, "categories"=>["Biophysics", "Biochemistry", "Medicine", "Cell Biology", "Genetics", "Molecular Biology", "Biotechnology", "Chemical Sciences not elsewhere classified", "Developmental Biology", "Marine Biology", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Xiaonan Qiu", "Jinyue Zhang", "Weihong Shi", "Sang Liu", "Meiyun Kang", "Haiyan Chu", "Dongmei Wu", "Na Tong", "Weida Gong", "Guoquan Tao", "Qinghong Zhao", "Fulin Qiang", "Haixia Zhu", "Qin Wu", "Meilin Wang", "Zhengdong Zhang"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0151345.s001", "https://dx.doi.org/10.1371/journal.pone.0151345.s002", "https://dx.doi.org/10.1371/journal.pone.0151345.s003", "https://dx.doi.org/10.1371/journal.pone.0151345.s004", "https://dx.doi.org/10.1371/journal.pone.0151345.s005", "https://dx.doi.org/10.1371/journal.pone.0151345.s006"], "stats"=>{"downloads"=>1, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Circulating_MicroRNA_26a_in_Plasma_and_Its_Potential_Diagnostic_Value_in_Gastric_Cancer/3140554", "title"=>"Circulating MicroRNA-26a in Plasma and Its Potential Diagnostic Value in Gastric Cancer", "pos_in_sequence"=>1, "defined_type"=>4, "published_date"=>"2016-03-24 07:01:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/4883242"], "description"=>"<p>Clinical characteristics of subjects.</p>", "links"=>[], "tags"=>["ROC", "GC patients", "AUC", "sample", "Gastric Cancer BackgroundIn", "Potential Diagnostic Value", "85 GC patients", "285 GC patients", "transcription polymerase chain reaction", "TLDA", "plasma", "Agilent Human miRNA Microarray"], "article_id"=>3140701, "categories"=>["Biophysics", "Biochemistry", "Medicine", "Cell Biology", "Genetics", "Molecular Biology", "Biotechnology", "Chemical Sciences not elsewhere classified", "Developmental Biology", "Marine Biology", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Xiaonan Qiu", "Jinyue Zhang", "Weihong Shi", "Sang Liu", "Meiyun Kang", "Haiyan Chu", "Dongmei Wu", "Na Tong", "Weida Gong", "Guoquan Tao", "Qinghong Zhao", "Fulin Qiang", "Haixia Zhu", "Qin Wu", "Meilin Wang", "Zhengdong Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151345.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Clinical_characteristics_of_subjects_/3140701", "title"=>"Clinical characteristics of subjects.", "pos_in_sequence"=>6, "defined_type"=>3, "published_date"=>"2016-03-24 07:01:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/4883269"], "description"=>"<p>The comparison of the partly results of microarrays.</p>", "links"=>[], "tags"=>["ROC", "GC patients", "AUC", "sample", "Gastric Cancer BackgroundIn", "Potential Diagnostic Value", "85 GC patients", "285 GC patients", "transcription polymerase chain reaction", "TLDA", "plasma", "Agilent Human miRNA Microarray"], "article_id"=>3140713, "categories"=>["Biophysics", "Biochemistry", "Medicine", "Cell Biology", "Genetics", "Molecular Biology", "Biotechnology", "Chemical Sciences not elsewhere classified", "Developmental Biology", "Marine Biology", "Cancer", "Infectious Diseases", "Virology"], "users"=>["Xiaonan Qiu", "Jinyue Zhang", "Weihong Shi", "Sang Liu", "Meiyun Kang", "Haiyan Chu", "Dongmei Wu", "Na Tong", "Weida Gong", "Guoquan Tao", "Qinghong Zhao", "Fulin Qiang", "Haixia Zhu", "Qin Wu", "Meilin Wang", "Zhengdong Zhang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151345.t002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/The_comparison_of_the_partly_results_of_microarrays_/3140713", "title"=>"The comparison of the partly results of microarrays.", "pos_in_sequence"=>7, "defined_type"=>3, "published_date"=>"2016-03-24 07:01:41"}

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Relative Metric

{"start_date"=>"2016-01-01T00:00:00Z", "end_date"=>"2016-12-31T00:00:00Z", "subject_areas"=>[]}
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