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{"title"=>"The role of PKR/eIF2α signaling pathway in prognosis of Non-Small cell lung cancer", "type"=>"journal", "authors"=>[{"first_name"=>"Yong", "last_name"=>"He", "scopus_author_id"=>"56517226500"}, {"first_name"=>"Arlene M.", "last_name"=>"Correa", "scopus_author_id"=>"35371786100"}, {"first_name"=>"Maria Gabriela", "last_name"=>"Raso", "scopus_author_id"=>"55170871400"}, {"first_name"=>"Wayne L.", "last_name"=>"Hofstetter", "scopus_author_id"=>"7005630907"}, {"first_name"=>"Bingliang", "last_name"=>"Fang", "scopus_author_id"=>"7102405820"}, {"first_name"=>"Carmen", "last_name"=>"Behrens", "scopus_author_id"=>"7005441177"}, {"first_name"=>"Jack A.", "last_name"=>"Roth", "scopus_author_id"=>"7404379856"}, {"first_name"=>"Yihong", "last_name"=>"Zhou", "scopus_author_id"=>"16168171300"}, {"first_name"=>"Liping", "last_name"=>"Yu", "scopus_author_id"=>"55686824900"}, {"first_name"=>"Ignacio I.", "last_name"=>"Wistuba", "scopus_author_id"=>"35375776900"}, {"first_name"=>"Stephen G.", "last_name"=>"Swisher", "scopus_author_id"=>"35381674000"}, {"first_name"=>"Apar", "last_name"=>"Pataer", "scopus_author_id"=>"6603113216"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-80755143201", "sgr"=>"80755143201", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0024855", "pmid"=>"22102852", "isbn"=>"1932-6203 (Electronic)$\\$n1932-6203 (Linking)", "pui"=>"362897859"}, "id"=>"0c123207-cdeb-3c47-b2d5-7325b1193d96", "abstract"=>"BACKGROUND In this study, we investigated whether PKR protein expression is correlated with mRNA levels and also evaluated molecular biomarkers that are associated with PKR, such as phosphorylated PKR (p-PKR) and phosphorylated eIF2α (p-eIF2α). METHODOLOGY AND FINDINGS We determined the levels of PKR protein expression and mRNA in 36 fresh primary lung tumor tissues by using Western blot analysis and real-time reverse-transcriptase PCR (RT-PCR), respectively. We used tissue microarrays for immunohistochemical evaluation of the expression of p-PKR and p-eIF2α proteins. We demonstrated that PKR mRNA levels are significantly correlated with PKR protein levels (Spearman's rho = 0.55, p<0.001), suggesting that PKR protein levels in tumor samples are regulated by PKR mRNA. We also observed that the patients with high p-PKR or p-eIF2α expression had a significantly longer median survival than those with little or no p-PKR or p-eIF2α expression (p = 0.03 and p = 0.032, respectively). We further evaluated the prognostic effect of combined expression of p-PKR plus PKR and p-eIF2α plus PKR and found that both combinations were strong independent prognostic markers for overall patient survival on stage I and all stage patients. CONCLUSIONS Our findings suggest that PKR protein expression may controlled by transcription level. Combined expression levels of PKR and p-PKR or p-eIF2α can be new markers for predicting the prognosis of patients with NSCLC.", "link"=>"http://www.mendeley.com/research/role-pkreif2%CE%B1-signaling-pathway-prognosis-nonsmall-cell-lung-cancer", "reader_count"=>24, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Researcher"=>5, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>5, "Other"=>2, "Student > Bachelor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Researcher"=>5, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>5, "Other"=>2, "Student > Bachelor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Biochemistry, Genetics and Molecular Biology"=>3, "Agricultural and Biological Sciences"=>18, "Medicine and Dentistry"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>18}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>3}, "Unspecified"=>{"Unspecified"=>1}}, "group_count"=>0}

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/713309"], "description"=>"<p><b>A.</b> Western blot analysis of PKR and p-PKR protein in tumor samples. A densitometric analysis of the ratio of PKR or PKR to β-actin is represents normalized protein levels. Each lane represents a tumor sample from an individual patient. <b>B.</b> mRNA levels of corresponding samples were determined using quantitative real-time PCR. Levels of β-actin protein and its mRNA of the same sample were used as controls. <b>C.</b> Scatter plot of PKR protein expression correlated with mRNA expression (Spearman's rho = 0.55, <i>p</i><0.001).</p>", "links"=>[], "tags"=>["mrna", "levels", "correlated", "pkr", "nsclc"], "article_id"=>383653, "categories"=>["Molecular Biology", "Cell Biology", "Biochemistry", "Cancer", "Biological Sciences", "Genetics"], "users"=>["Yong He", "Arlene M. Correa", "Maria Gabriela Raso", "Wayne L. Hofstetter", "Bingliang Fang", "Carmen Behrens", "Jack A. Roth", "Yihong Zhou", "Liping Yu", "Ignacio I. Wistuba", "Stephen G. Swisher", "Apar Pataer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0024855.g001", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_PKR_mRNA_levels_are_correlated_with_PKR_protein_levels_in_primary_NSCLC_tissues_/383653", "title"=>"PKR mRNA levels are correlated with PKR protein levels in primary NSCLC tissues.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 11:44:22"}
• {"files"=>["https://ndownloader.figshare.com/files/713670"], "description"=>"<p><b>A</b> and <b>C</b>. Survival rate was significantly lower patients with low PKR or low p-PKR expression than in those with high PKR or high p-PKR expression on stage I (A) and all stages (C) (<i>p</i> = 0.001 and <i>p</i> = 0.001, respectively). <b>B</b> and <b>D</b>. Survival rate was also significantly lower in patients with low PKR or low p-eIF2α expression than in those with high PKR or high p-eIF2α expression on stage I (B) and all stages (D) (<i>p</i> = 0.001 and <i>p</i> = 0.001, respectively).</p>", "links"=>[], "tags"=>["prognostic", "assessed", "kaplan-meier", "estimates", "long-rank"], "article_id"=>384012, "categories"=>["Molecular Biology", "Cell Biology", "Biochemistry", "Cancer", "Biological Sciences", "Genetics"], "users"=>["Yong He", "Arlene M. Correa", "Maria Gabriela Raso", "Wayne L. Hofstetter", "Bingliang Fang", "Carmen Behrens", "Jack A. Roth", "Yihong Zhou", "Liping Yu", "Ignacio I. Wistuba", "Stephen G. Swisher", "Apar Pataer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0024855.g004", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_prognostic_significance_assessed_by_using_Kaplan_Meier_survival_estimates_and_long_rank_test_/384012", "title"=>"The prognostic significance assessed by using Kaplan-Meier survival estimates and long-rank test.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 11:46:32"}
• {"files"=>["https://ndownloader.figshare.com/files/713567"], "description"=>"<p><b>A–F.</b> Kaplan-Meier survival curves according to the differences in (<b>A</b>, <b>B</b>, <b>C</b>) p-PKR and (<b>D</b>, <b>E</b>, <b>F</b>) p-eIF2-α expression in patients with stage I (<b>A</b>, <b>D</b>), stages II–IV (<b>B</b>, <b>E</b>) and all stage (<b>C</b>, <b>F</b>) NSCLC. The survival rates were significantly worse in the patients with low p-PKR or p-eIF2α expression than in those with high p-PKR or p-eIF2α expression (Stage I: <i>p</i> = 0.01 and <i>p</i> = 0.02; All stages: <i>p</i> = 0.03 and <i>p</i> = 0.03, respectively).</p>", "links"=>[], "tags"=>["prognostic", "assessed", "kaplan-meier", "estimates", "long-rank"], "article_id"=>383914, "categories"=>["Molecular Biology", "Cell Biology", "Biochemistry", "Cancer", "Biological Sciences", "Genetics"], "users"=>["Yong He", "Arlene M. Correa", "Maria Gabriela Raso", "Wayne L. Hofstetter", "Bingliang Fang", "Carmen Behrens", "Jack A. Roth", "Yihong Zhou", "Liping Yu", "Ignacio I. Wistuba", "Stephen G. Swisher", "Apar Pataer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0024855.g003", "stats"=>{"downloads"=>1, "page_views"=>89, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_prognostic_significance_assessed_by_using_Kaplan_Meier_survival_estimates_and_long_rank_test_/383914", "title"=>"The prognostic significance assessed by using Kaplan-Meier survival estimates and long-rank test.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 11:45:54"}
• {"files"=>["https://ndownloader.figshare.com/files/713775"], "description"=>"a<p>The <i>p</i>-value was calculated between pathologic stage I and II–IV.</p>b<p>Between T1 and T2–T4.</p>c<p>Between N0 and N1–N2.</p><p>SCC, squamous cell carcinoma. ACC, Adenocarcinoma.</p>", "links"=>[], "tags"=>["p-pkr", "clinicopathologic", "characteristics", "tma", "nsclc"], "article_id"=>384123, "categories"=>["Molecular Biology", "Cell Biology", "Biochemistry", "Cancer", "Biological Sciences", "Genetics"], "users"=>["Yong He", "Arlene M. Correa", "Maria Gabriela Raso", "Wayne L. Hofstetter", "Bingliang Fang", "Carmen Behrens", "Jack A. Roth", "Yihong Zhou", "Liping Yu", "Ignacio I. Wistuba", "Stephen G. Swisher", "Apar Pataer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0024855.t001", "stats"=>{"downloads"=>3, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relationships_between_the_level_of_p_PKR_and_p_eIF2_945_expression_and_clinicopathologic_characteristics_in_TMA_of_NSCLC_patients_/384123", "title"=>"Relationships between the level of p-PKR and p-eIF2α expression and clinicopathologic characteristics in TMA of NSCLC patients.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 11:47:10"}
• {"files"=>["https://ndownloader.figshare.com/files/713450"], "description"=>"<p>High-expressing cases (<b>A</b> and <b>C</b>). Low-expressing cases (<b>B</b> and <b>D</b>). Expression of p-PKR and p-eIF2α was detected in the cytoplasm.</p>", "links"=>[], "tags"=>["immunohistochemical", "staining", "nsclc", "specimens", "p-pkr"], "article_id"=>383788, "categories"=>["Molecular Biology", "Cell Biology", "Biochemistry", "Cancer", "Biological Sciences", "Genetics"], "users"=>["Yong He", "Arlene M. Correa", "Maria Gabriela Raso", "Wayne L. Hofstetter", "Bingliang Fang", "Carmen Behrens", "Jack A. Roth", "Yihong Zhou", "Liping Yu", "Ignacio I. Wistuba", "Stephen G. Swisher", "Apar Pataer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0024855.g002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Representative_results_of_immunohistochemical_staining_of_NSCLC_tumor_specimens_for_p_PKR_and_p_eIF2_945_/383788", "title"=>"Representative results of immunohistochemical staining of NSCLC tumor specimens for p-PKR and p-eIF2α.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 11:45:12"}
• {"files"=>["https://ndownloader.figshare.com/files/713824"], "description"=>"<p>Univariate and multivariate Cox model assessing effects of covariates on overall survival.</p>", "links"=>[], "tags"=>["multivariate", "cox", "assessing", "covariates"], "article_id"=>384173, "categories"=>["Molecular Biology", "Cell Biology", "Biochemistry", "Cancer", "Biological Sciences", "Genetics"], "users"=>["Yong He", "Arlene M. Correa", "Maria Gabriela Raso", "Wayne L. Hofstetter", "Bingliang Fang", "Carmen Behrens", "Jack A. Roth", "Yihong Zhou", "Liping Yu", "Ignacio I. Wistuba", "Stephen G. Swisher", "Apar Pataer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0024855.t002", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Univariate_and_multivariate_Cox_model_assessing_effects_of_covariates_on_overall_survival_/384173", "title"=>"Univariate and multivariate Cox model assessing effects of covariates on overall survival.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 11:47:25"}

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Relative Metric

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F1000Prime