Prognostic Role of MicroRNA-221 in Various Human Malignant Neoplasms: A Meta-Analysis of 20 Related Studies
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{"title"=>"Prognostic role of microRNA-221 in various human malignant neoplasms: A meta-analysis of 20 related", "type"=>"journal", "authors"=>[{"first_name"=>"Jie", "last_name"=>"Yang", "scopus_author_id"=>"55574202984"}, {"first_name"=>"Jia Yi", "last_name"=>"Zhang", "scopus_author_id"=>"56155369900"}, {"first_name"=>"Jing", "last_name"=>"Chen", "scopus_author_id"=>"56155369500"}, {"first_name"=>"Yang", "last_name"=>"Xu", "scopus_author_id"=>"57131662800"}, {"first_name"=>"Ning Hong", "last_name"=>"Song", "scopus_author_id"=>"10139888200"}, {"first_name"=>"Chang Jun", "last_name"=>"Yin", "scopus_author_id"=>"16481676000"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84900299304", "sgr"=>"84900299304", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0087606", "pmid"=>"24475314", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pui"=>"373058868"}, "id"=>"071f9643-fc82-3d26-8964-71cdbe7a94dc", "abstract"=>"BACKGROUND: MicroRNA-221 (miR-221) has been shown to play an important role in cancer prognosis. In order to evaluate the predictive value of miR-221, we compiled the evidence from 20 eligible studies to perform a meta-analysis.\\n\\nDESIGN: All of relevant studies were identified by searching PubMed, Embase, and Web of Science, and were assessed by further quality evaluation. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) of total and stratified analyses, for overall survival (OS) and recurrence-free survival (RFS), were calculated to investigate the association between high miR-221 expression and cancer prognosis.\\n\\nRESULTS: We found that high miR-221 expression can predict a poor OS in malignant tumors (pooled HR = 1.55, P = 0.017) but has no significant association with RFS (pooled HR = 1.02, P = 0.942). Further in stratified analyses, high miR-221 expression was significantly associated with a poor OS in Asians (pooled HR = 2.04, P = 0.010) or serum/ plasma subgroup (pooled HR = 2.28, P<0.001), and even showed significantly poor OS (pooled HR = 1.80, P<0.001) and RFS (pooled HR = 2.43, P = 0.010) in hepatocellular carcinoma (HCC) subgroup, but was correlated to a favorable RFS in prostate cancer subgroup (pooled HR = 0.51, P = 0.004).\\n\\nCONCLUSIONS: Our findings demonstrate that miR-221 is more suitable to predict cancer prognosis in Asians, and it is a promising prognostic biomarker for HCC. The detection of miR-221 in serum or plasma samples may make it become an effective method for monitoring patients' prognosis and assessing therapeutic efficacy in the future.", "link"=>"http://www.mendeley.com/research/prognostic-role-microrna221-various-human-malignant-neoplasms-metaanalysis-20-related", "reader_count"=>14, "reader_count_by_academic_status"=>{"Librarian"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>2, "Student > Master"=>3, "Student > Bachelor"=>1, "Student > Doctoral Student"=>1}, "reader_count_by_user_role"=>{"Librarian"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>2, "Student > Master"=>3, "Student > Bachelor"=>1, "Student > Doctoral Student"=>1}, "reader_count_by_subject_area"=>{"Biochemistry, Genetics and Molecular Biology"=>3, "Agricultural and Biological Sciences"=>3, "Medicine and Dentistry"=>6, "Computer Science"=>1, "Unspecified"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>6}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>3}, "Unspecified"=>{"Unspecified"=>1}}, "group_count"=>0}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1362048"], "description"=>"<p>Study design is described as consecutive patients (C), prospective (P) or retrospective (R).</p><p>HCC, hepatocellular carcinoma; T-ALL, T-cell acute lymphoid leukemia; AML, acute myeloid leukemia; NSCLC, nonsmall-cell lung cancer; Adenoca, adenocarcinoma; SqCa, squamous carcinoma; OS, overall survival; RFS, recurrence-free survival; HR, hazard ratio; SC, survival curve; DE, data-extrapolated.</p>", "links"=>[], "tags"=>["Biochemistry", "Nucleic acids", "rna", "Molecular cell biology", "Diagnostic medicine", "Clinical laboratory sciences", "Non-clinical medicine", "Health care policy", "Health risk analysis", "Evidence-based medicine", "oncology", "Cancers and neoplasms", "Public health", "enrolled"], "article_id"=>914453, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jie Yang", "Jia-yi Zhang", "Jing Chen", "Yang Xu", "Ning-hong Song", "Chang-jun Yin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087606.t001", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_main_characteristics_of_enrolled_studies_/914453", "title"=>"The main characteristics of enrolled studies.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-27 03:44:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/1362047"], "description"=>"<p>qRT-PCR, quantitative real-time PCR; NM, not mentioned; OS, overall survival; CI, confidence interval; RFS, recurrence-free survival; HR, hazard ratio; *, HR and 95% CI calculated by survival curve; M, cox multivariate analysis; U, cox univariate analysis; DE, data-extrapolated.</p>", "links"=>[], "tags"=>["Biochemistry", "Nucleic acids", "rna", "Molecular cell biology", "Diagnostic medicine", "Clinical laboratory sciences", "Non-clinical medicine", "Health care policy", "Health risk analysis", "Evidence-based medicine", "oncology", "Cancers and neoplasms", "Public health", "recurrence-free", "high-", "low-expression", "cases", "microrna-221", "enrolled"], "article_id"=>914452, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jie Yang", "Jia-yi Zhang", "Jing Chen", "Yang Xu", "Ning-hong Song", "Chang-jun Yin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087606.t002", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_difference_of_overall_survival_and_recurrence_free_survival_between_high_and_low_expression_cases_of_microRNA_221_in_enrolled_studies_/914452", "title"=>"The difference of overall survival and recurrence-free survival between high- and low-expression cases of microRNA-221 in enrolled studies.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-27 03:44:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/1362044"], "description"=>"<p>(A) Forest plots of overall and ethnic subtotal analyses of OS. Squares and horizontal lines correspond to study-specific HRs and 95% CIs, respectively. The area of the squares correlates the weight of each enrolled study and the diamonds represent the summary HRs and 95% CIs; (B) Forest plots for overall and ethnic subtotal analyses of RFS; (C) Begg's funnel plots of publication bias test for the overall merged analysis of OS. Each point represents a separate study; (D) Begg's funnel plots of the publication bias test for the overall merged analysis of RFS.</p>", "links"=>[], "tags"=>["Biochemistry", "Nucleic acids", "rna", "Molecular cell biology", "Diagnostic medicine", "Clinical laboratory sciences", "Non-clinical medicine", "Health care policy", "Health risk analysis", "Evidence-based medicine", "oncology", "Cancers and neoplasms", "Public health", "merged", "recurrence-free", "mir-221", "funnel"], "article_id"=>914449, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jie Yang", "Jia-yi Zhang", "Jing Chen", "Yang Xu", "Ning-hong Song", "Chang-jun Yin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087606.g002", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Forest_plots_for_merged_analyses_of_overall_survival_OS_and_recurrence_free_survival_RFS_associated_with_miR_221_expression_difference_and_Begg_s_funnel_plots_of_publication_bias_test_/914449", "title"=>"Forest plots for merged analyses of overall survival (OS) and recurrence-free survival (RFS) associated with miR-221 expression difference, and Begg's funnel plots of publication bias test.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-27 03:44:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/1362043"], "description"=>"_", "links"=>[], "tags"=>["Biochemistry", "Nucleic acids", "rna", "Molecular cell biology", "Diagnostic medicine", "Clinical laboratory sciences", "Non-clinical medicine", "Health care policy", "Health risk analysis", "Evidence-based medicine", "oncology", "Cancers and neoplasms", "Public health", "diagram"], "article_id"=>914448, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jie Yang", "Jia-yi Zhang", "Jing Chen", "Yang Xu", "Ning-hong Song", "Chang-jun Yin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087606.g001", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Flow_diagram_of_study_selection_process_/914448", "title"=>"Flow diagram of study selection process.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-27 03:44:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/1362049", "https://ndownloader.figshare.com/files/1362050"], "description"=>"<div><p>Background</p><p>MicroRNA-221 (miR-221) has been shown to play an important role in cancer prognosis. In order to evaluate the predictive value of miR-221, we compiled the evidence from 20 eligible studies to perform a meta-analysis.</p><p>Design</p><p>All of relevant studies were identified by searching PubMed, Embase, and Web of Science, and were assessed by further quality evaluation. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) of total and stratified analyses, for overall survival (OS) and recurrence-free survival (RFS), were calculated to investigate the association between high miR-221 expression and cancer prognosis.</p><p>Results</p><p>We found that high miR-221 expression can predict a poor OS in malignant tumors (pooled HR = 1.55, P = 0.017) but has no significant association with RFS (pooled HR = 1.02, P = 0.942). Further in stratified analyses, high miR-221 expression was significantly associated with a poor OS in Asians (pooled HR = 2.04, P = 0.010) or serum/ plasma subgroup (pooled HR = 2.28, P<0.001), and even showed significantly poor OS (pooled HR = 1.80, P<0.001) and RFS (pooled HR = 2.43, P = 0.010) in hepatocellular carcinoma (HCC) subgroup, but was correlated to a favorable RFS in prostate cancer subgroup (pooled HR = 0.51, P = 0.004).</p><p>Conclusions</p><p>Our findings demonstrate that miR-221 is more suitable to predict cancer prognosis in Asians, and it is a promising prognostic biomarker for HCC. The detection of miR-221 in serum or plasma samples may make it become an effective method for monitoring patients' prognosis and assessing therapeutic efficacy in the future.</p></div>", "links"=>[], "tags"=>["Biochemistry", "Nucleic acids", "rna", "Molecular cell biology", "Diagnostic medicine", "Clinical laboratory sciences", "Non-clinical medicine", "Health care policy", "Health risk analysis", "Evidence-based medicine", "oncology", "Cancers and neoplasms", "Public health", "microrna-221", "malignant", "meta-analysis", "20"], "article_id"=>914454, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jie Yang", "Jia-yi Zhang", "Jing Chen", "Yang Xu", "Ning-hong Song", "Chang-jun Yin"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0087606.s001", "https://dx.doi.org/10.1371/journal.pone.0087606.s002"], "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prognostic_Role_of_MicroRNA_221_in_Various_Human_Malignant_Neoplasms_A_Meta_Analysis_of_20_Related_Studies_/914454", "title"=>"Prognostic Role of MicroRNA-221 in Various Human Malignant Neoplasms: A Meta-Analysis of 20 Related Studies", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-01-27 03:44:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/1362046"], "description"=>"<p>N, number of studies; HR, hazard ratio; CI, confidence interval.</p><p>a, the HRs and 95% CIs of enrolled studies are pooled by the fixed-effects model; b, the HRs and 95% CIs of enrolled studies are pooled by the random-effects model if p value for heterogeneity test was less than 0.10 or I<sup>2</sup> was more than 50%.</p>", "links"=>[], "tags"=>["Biochemistry", "Nucleic acids", "rna", "Molecular cell biology", "Diagnostic medicine", "Clinical laboratory sciences", "Non-clinical medicine", "Health care policy", "Health risk analysis", "Evidence-based medicine", "oncology", "Cancers and neoplasms", "Public health", "pooled", "cis", "recurrence-free", "stratified", "pathologic", "categories", "malignant", "diseases"], "article_id"=>914451, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jie Yang", "Jia-yi Zhang", "Jing Chen", "Yang Xu", "Ning-hong Song", "Chang-jun Yin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087606.t003", "stats"=>{"downloads"=>0, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_pooled_HRs_95_CIs_and_p_values_of_overall_survival_and_recurrence_free_survival_stratified_by_ethnicity_main_pathologic_type_categories_of_malignant_diseases_and_detected_samples_/914451", "title"=>"The pooled HRs, 95% CIs and p values of overall survival and recurrence-free survival stratified by ethnicity, main pathologic type, categories of malignant diseases and detected samples.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-27 03:44:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/1362045"], "description"=>"<p>(A) Forest plots for the subgroup analysis of OS in different pathological types. Squares and horizontal lines correspond to study-specific HRs and 95% CIs, respectively. The area of the squares correlates the weight of each enrolled study and the diamonds represent the summary HRs and 95% CIs; (B) Forest plots for the subgroup analysis of OS in different detected samples; (C) Forest plots for the subgroup analysis of OS in different malignant diseases; (D) Forest plots for the subgroup analysis of RFS in adenocarcinoma; (E) Forest plots for the subgroup analysis of RFS in tissue samples; (F) Forest plots for the subgroup analysis of RFS in different malignant diseases.</p>", "links"=>[], "tags"=>["Biochemistry", "Nucleic acids", "rna", "Molecular cell biology", "Diagnostic medicine", "Clinical laboratory sciences", "Non-clinical medicine", "Health care policy", "Health risk analysis", "Evidence-based medicine", "oncology", "Cancers and neoplasms", "Public health", "merged", "recurrence-free", "mir-221"], "article_id"=>914450, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jie Yang", "Jia-yi Zhang", "Jing Chen", "Yang Xu", "Ning-hong Song", "Chang-jun Yin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087606.g003", "stats"=>{"downloads"=>1, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Forest_plots_for_merged_analyses_of_overall_survival_OS_and_recurrence_free_survival_RFS_associated_with_miR_221_expression_difference_in_different_subgroups_/914450", "title"=>"Forest plots for merged analyses of overall survival (OS) and recurrence-free survival (RFS), associated with miR-221 expression difference, in different subgroups.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-27 03:44:07"}

PMC Usage Stats | Further Information

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Relative Metric

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