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{"title"=>"Differential expression of the insulin-like growth factor receptor among early breast cancer subtypes", "type"=>"journal", "authors"=>[{"first_name"=>"Giannis", "last_name"=>"Mountzios", "scopus_author_id"=>"23094825600"}, {"first_name"=>"Dimitra", "last_name"=>"Aivazi", "scopus_author_id"=>"23990290100"}, {"first_name"=>"Ioannis", "last_name"=>"Kostopoulos", "scopus_author_id"=>"6602740760"}, {"first_name"=>"Helen P.", "last_name"=>"Kourea", "scopus_author_id"=>"6603608182"}, {"first_name"=>"George", "last_name"=>"Kouvatseas", "scopus_author_id"=>"14056301000"}, {"first_name"=>"Eleni", "last_name"=>"Timotheadou", "scopus_author_id"=>"23101746000"}, {"first_name"=>"Pantelis", "last_name"=>"Zebekakis", "scopus_author_id"=>"6505964319"}, {"first_name"=>"Ioannis", "last_name"=>"Efstratiou", "scopus_author_id"=>"8724885500"}, {"first_name"=>"Helen", "last_name"=>"Gogas", "scopus_author_id"=>"7004140376"}, {"first_name"=>"Chrisanthi", "last_name"=>"Vamvouka", "scopus_author_id"=>"56115059100"}, {"first_name"=>"Sofia", "last_name"=>"Chrisafi", "scopus_author_id"=>"6507758145"}, {"first_name"=>"Anastasios", "last_name"=>"Stofas", "scopus_author_id"=>"36132145800"}, {"first_name"=>"George", "last_name"=>"Pentheroudakis", "scopus_author_id"=>"56230606500"}, {"first_name"=>"Angelos", "last_name"=>"Koutras", "scopus_author_id"=>"6701657692"}, {"first_name"=>"Eleni", "last_name"=>"Galani", "scopus_author_id"=>"6602189735"}, {"first_name"=>"Dimitrios", "last_name"=>"Bafaloukos", "scopus_author_id"=>"55393846900"}, {"first_name"=>"George", "last_name"=>"Fountzilas", "scopus_author_id"=>"34467574700"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84898624039", "doi"=>"10.1371/journal.pone.0091407", "pui"=>"372838499", "pmid"=>"24637962", "scopus"=>"2-s2.0-84898624039", "issn"=>"19326203", "isbn"=>"1261100050"}, "id"=>"7ffc73e0-ea37-3d73-818d-01238c4104dd", "abstract"=>"INTRODUCTION: We sought to determine the level of protein expression of the critical components of the insulin-like growth factor receptor (IGFR) pathway and to evaluate their prognostic significance across the different early breast cancer subtypes.\\n\\nPATIENTS AND METHODS: Archival tumor tissue from 1,021 women with early, node positive breast cancer, who were prospectively evaluated within two randomized clinical trials, was used to construct tissue microarrays that were stained for hormone receptors (HR), Ki67, HER2, epidermal growth factor receptor (EGFR) and cytokeratins 5/6, to classify tumors into five immunophenotypical subgroups. Immunohistochemical (IHC) expression of IGF1R-alpha and beta subunits, IGF2R and IGF-binding protein 2 (IGFBP2) was assessed using the immunoreactive score (IRS). Repeated internal cross-validation was performed to examine the statistical validity of the cut off points for all biomarkers.\\n\\nRESULTS: After a median follow-up time of 105.4 months, overall 370 women (36.2%) had relapsed and 270 (26.4%) had died. Tumors expressing IGF1R-alpha above the median IRS were significantly more frequently HR positive (luminal A+B+HER2), as compared to HER2-enriched and triple negative ones (p<0.001 for both comparisons). IGF2R was overexpressed significantly more frequently in HR negative tumors (p = 0.001) and had an inverse correlation with all other biomarkers. Patients with luminal A and B tumors with high IGF1R-alpha and negative EGFR expression (N = 190) had significantly higher 4-year survival rates, as compared to the rest (log-rank p = 0.046), as did patients with luminal A and B tumors with high IGF1R-alpha and low IGF2R expression, as compared to the rest (N = 91), (log-rank p = 0.035). After adjustment for significant variables, patients in the latter group had a relative 45% reduction in the risk of death, as compared to the rest (p = 0.035).\\n\\nCONCLUSION: Aberrant expression of components of the IGF1R pathway is associated with better clinical outcomes in women with luminal A and B, node positive, early breast cancer.", "link"=>"http://www.mendeley.com/research/differential-expression-insulinlike-growth-factor-receptor-among-early-breast-cancer-subtypes", "reader_count"=>9, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Student > Doctoral Student"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>3, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Student > Doctoral Student"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>3, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Agricultural and Biological Sciences"=>2, "Medicine and Dentistry"=>5}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Unspecified"=>{"Unspecified"=>2}}, "group_count"=>0}

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• http://doi.org/10.1186/s12943-015-0291-7
• http://doi.org/10.1515/raon-2017-0020
• http://doi.org/10.1210/en.2018-00574
• http://doi.org/10.1371/journal.pone.0190619
• http://doi.org/10.1186/s13045-020-00904-3
• http://doi.org/10.1186/s13058-020-01281-y
• http://doi.org/10.1371/journal.pone.0140293

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• {"id"=>"445712316386922496", "text"=>"PLOS ONE: Differential Expression of the Insulin-Like Growth Factor Receptor... http://t.co/p4lt6rrsvC @TIFF_NET", "created_at"=>"2014-03-18T00:04:31Z", "user"=>"FILMbutton", "user_name"=>"FILMbutton", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1140503218/FILMbutton-image_normal.jpg"}

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• {"files"=>["https://ndownloader.figshare.com/files/1423226", "https://ndownloader.figshare.com/files/1423227", "https://ndownloader.figshare.com/files/1423228", "https://ndownloader.figshare.com/files/1423229", "https://ndownloader.figshare.com/files/1423230"], "description"=>"<div><p>Introduction</p><p>We sought to determine the level of protein expression of the critical components of the insulin-like growth factor receptor (IGFR) pathway and to evaluate their prognostic significance across the different early breast cancer subtypes.</p><p>Patients and Methods</p><p>Archival tumor tissue from 1,021 women with early, node positive breast cancer, who were prospectively evaluated within two randomized clinical trials, was used to construct tissue microarrays that were stained for hormone receptors (HR), Ki67, HER2, epidermal growth factor receptor (EGFR) and cytokeratins 5/6, to classify tumors into five immunophenotypical subgroups. Immunohistochemical (IHC) expression of IGF1R-alpha and beta subunits, IGF2R and IGF-binding protein 2 (IGFBP2) was assessed using the immunoreactive score (IRS). Repeated internal cross-validation was performed to examine the statistical validity of the cut off points for all biomarkers.</p><p>Results</p><p>After a median follow-up time of 105.4 months, overall 370 women (36.2%) had relapsed and 270 (26.4%) had died. Tumors expressing IGF1R-alpha above the median IRS were significantly more frequently HR positive (luminal A+B+HER2), as compared to HER2-enriched and triple negative ones (p<0.001 for both comparisons). IGF2R was overexpressed significantly more frequently in HR negative tumors (p = 0.001) and had an inverse correlation with all other biomarkers. Patients with luminal A and B tumors with high IGF1R-alpha and negative EGFR expression (N = 190) had significantly higher 4-year survival rates, as compared to the rest (log-rank p = 0.046), as did patients with luminal A and B tumors with high IGF1R-alpha and low IGF2R expression, as compared to the rest (N = 91), (log-rank p = 0.035). After adjustment for significant variables, patients in the latter group had a relative 45% reduction in the risk of death, as compared to the rest (p = 0.035).</p><p>Conclusion</p><p>Aberrant expression of components of the IGF1R pathway is associated with better clinical outcomes in women with luminal A and B, node positive, early breast cancer.</p></div>", "links"=>[], "tags"=>["Biochemistry", "biomarkers", "cell biology", "Signal transduction", "cell signaling", "Molecular cell biology", "oncology", "Basic cancer research", "metastasis", "Cancers and neoplasms", "Breast tumors", "Tumor physiology", "Cancer detection and diagnosis", "Cancer risk factors", "Cancer treatment", "insulin-like", "receptor", "cancer"], "article_id"=>964283, "categories"=>["Biological Sciences"], "users"=>["Giannis Mountzios", "Dimitra Aivazi", "Ioannis Kostopoulos", "Helen P. Kourea", "George Kouvatseas", "Eleni Timotheadou", "Pantelis Zebekakis", "Ioannis Efstratiou", "Helen Gogas", "Chrisanthi Vamvouka", "Sofia Chrisafi", "Anastasios Stofas", "George Pentheroudakis", "Angelos Koutras", "Eleni Galani", "Dimitrios Bafaloukos", "George Fountzilas"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0091407.s001", "https://dx.doi.org/10.1371/journal.pone.0091407.s002", "https://dx.doi.org/10.1371/journal.pone.0091407.s003", "https://dx.doi.org/10.1371/journal.pone.0091407.s004", "https://dx.doi.org/10.1371/journal.pone.0091407.s005"], "stats"=>{"downloads"=>22, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Differential_Expression_of_the_Insulin_Like_Growth_Factor_Receptor_among_Early_Breast_Cancer_Subtypes_/964283", "title"=>"Differential Expression of the Insulin-Like Growth Factor Receptor among Early Breast Cancer Subtypes", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-03-17 03:27:17"}
• {"files"=>["https://ndownloader.figshare.com/files/1423225"], "description"=>"<p>Note: The p-values correspond to Kruskal-Wallis test for age and Chi-square test for the other categorical variables. MRM: Modified radical mastectomy.</p>", "links"=>[], "tags"=>["Biochemistry", "biomarkers", "cell biology", "Signal transduction", "cell signaling", "Molecular cell biology", "oncology", "Basic cancer research", "metastasis", "Cancers and neoplasms", "Breast tumors", "Tumor physiology", "Cancer detection and diagnosis", "Cancer risk factors", "Cancer treatment", "cohort", "immunophenotypical"], "article_id"=>964282, "categories"=>["Biological Sciences"], "users"=>["Giannis Mountzios", "Dimitra Aivazi", "Ioannis Kostopoulos", "Helen P. Kourea", "George Kouvatseas", "Eleni Timotheadou", "Pantelis Zebekakis", "Ioannis Efstratiou", "Helen Gogas", "Chrisanthi Vamvouka", "Sofia Chrisafi", "Anastasios Stofas", "George Pentheroudakis", "Angelos Koutras", "Eleni Galani", "Dimitrios Bafaloukos", "George Fountzilas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091407.t001", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Clinicopathological_characteristics_of_the_whole_patient_cohort_and_by_immunophenotypical_subtypes_/964282", "title"=>"Clinicopathological characteristics of the whole patient cohort and by immunophenotypical subtypes.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-17 03:27:17"}
• {"files"=>["https://ndownloader.figshare.com/files/1423220"], "description"=>"<p>Line graph for high (or positive) levels of the biomarkers.</p>", "links"=>[], "tags"=>["Biochemistry", "biomarkers", "cell biology", "Signal transduction", "cell signaling", "Molecular cell biology", "oncology", "Basic cancer research", "metastasis", "Cancers and neoplasms", "Breast tumors", "Tumor physiology", "Cancer detection and diagnosis", "Cancer risk factors", "Cancer treatment", "graph"], "article_id"=>964277, "categories"=>["Biological Sciences"], "users"=>["Giannis Mountzios", "Dimitra Aivazi", "Ioannis Kostopoulos", "Helen P. Kourea", "George Kouvatseas", "Eleni Timotheadou", "Pantelis Zebekakis", "Ioannis Efstratiou", "Helen Gogas", "Chrisanthi Vamvouka", "Sofia Chrisafi", "Anastasios Stofas", "George Pentheroudakis", "Angelos Koutras", "Eleni Galani", "Dimitrios Bafaloukos", "George Fountzilas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091407.g003", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Line_graph_for_high_or_positive_levels_of_the_biomarkers_/964277", "title"=>"Line graph for high (or positive) levels of the biomarkers.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-17 03:27:17"}
• {"files"=>["https://ndownloader.figshare.com/files/1423219"], "description"=>"<p>(<b>A</b>) IGF1R-alpha moderate to strong membraneous staining in carcinoma cells; (<b>B</b>) IGF1R-alpha cytoplasmic staining; (<b>C</b>) IGF1R-beta intense cytoplasmic and membraneous staining; (<b>D</b>) IGF1R-beta cytoplasmic expression in neoplastic population; (<b>E</b>) IGF2R, predominantly granular cytoplasmic staining; (<b>F</b>) IGF2R expression limited to non-neoplastic epithelial remnants; (<b>G</b>) IGFBP2 moderate to intense cytoplasmic staining in neoplastic cells; (<b>H</b>) IGFBP2 cytoplasmic and dot-like pattern of staining. Scale Bar: 10 µm.</p>", "links"=>[], "tags"=>["Biochemistry", "biomarkers", "cell biology", "Signal transduction", "cell signaling", "Molecular cell biology", "oncology", "Basic cancer research", "metastasis", "Cancers and neoplasms", "Breast tumors", "Tumor physiology", "Cancer detection and diagnosis", "Cancer risk factors", "Cancer treatment", "ihc", "invasive", "carcinoma"], "article_id"=>964276, "categories"=>["Biological Sciences"], "users"=>["Giannis Mountzios", "Dimitra Aivazi", "Ioannis Kostopoulos", "Helen P. Kourea", "George Kouvatseas", "Eleni Timotheadou", "Pantelis Zebekakis", "Ioannis Efstratiou", "Helen Gogas", "Chrisanthi Vamvouka", "Sofia Chrisafi", "Anastasios Stofas", "George Pentheroudakis", "Angelos Koutras", "Eleni Galani", "Dimitrios Bafaloukos", "George Fountzilas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091407.g002", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Protein_expression_detected_by_IHC_from_invasive_breast_carcinoma_cases_/964276", "title"=>"Protein expression detected by IHC from invasive breast carcinoma cases.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-17 03:27:17"}
• {"files"=>["https://ndownloader.figshare.com/files/1423224"], "description"=>"<p>Multivariate model for the IGF1R-alpha and IGF2R combined variable adjusted for clinical parameters (patients of luminal A and B subtype only).</p>", "links"=>[], "tags"=>["Biochemistry", "biomarkers", "cell biology", "Signal transduction", "cell signaling", "Molecular cell biology", "oncology", "Basic cancer research", "metastasis", "Cancers and neoplasms", "Breast tumors", "Tumor physiology", "Cancer detection and diagnosis", "Cancer risk factors", "Cancer treatment", "igf1r-alpha", "igf2r", "adjusted", "luminal", "subtype"], "article_id"=>964281, "categories"=>["Biological Sciences"], "users"=>["Giannis Mountzios", "Dimitra Aivazi", "Ioannis Kostopoulos", "Helen P. Kourea", "George Kouvatseas", "Eleni Timotheadou", "Pantelis Zebekakis", "Ioannis Efstratiou", "Helen Gogas", "Chrisanthi Vamvouka", "Sofia Chrisafi", "Anastasios Stofas", "George Pentheroudakis", "Angelos Koutras", "Eleni Galani", "Dimitrios Bafaloukos", "George Fountzilas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091407.t002", "stats"=>{"downloads"=>0, "page_views"=>28, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multivariate_model_for_the_IGF1R_alpha_and_IGF2R_combined_variable_adjusted_for_clinical_parameters_patients_of_luminal_A_and_B_subtype_only_/964281", "title"=>"Multivariate model for the IGF1R-alpha and IGF2R combined variable adjusted for clinical parameters (patients of luminal A and B subtype only).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-17 03:27:17"}
• {"files"=>["https://ndownloader.figshare.com/files/1423222"], "description"=>"<p>B: Kaplan- Meier Curves for the IGF1R- alpha and IGF2R combination variable- OS (patients of luminal A and luminal B subtype).</p>", "links"=>[], "tags"=>["Biochemistry", "biomarkers", "cell biology", "Signal transduction", "cell signaling", "Molecular cell biology", "oncology", "Basic cancer research", "metastasis", "Cancers and neoplasms", "Breast tumors", "Tumor physiology", "Cancer detection and diagnosis", "Cancer risk factors", "Cancer treatment", "meier", "curves", "igf1r-", "alpha", "igf2r", "variable-", "dfs", "luminal"], "article_id"=>964279, "categories"=>["Biological Sciences"], "users"=>["Giannis Mountzios", "Dimitra Aivazi", "Ioannis Kostopoulos", "Helen P. Kourea", "George Kouvatseas", "Eleni Timotheadou", "Pantelis Zebekakis", "Ioannis Efstratiou", "Helen Gogas", "Chrisanthi Vamvouka", "Sofia Chrisafi", "Anastasios Stofas", "George Pentheroudakis", "Angelos Koutras", "Eleni Galani", "Dimitrios Bafaloukos", "George Fountzilas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091407.g005", "stats"=>{"downloads"=>2, "page_views"=>70, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Kaplan_Meier_Curves_for_the_IGF1R_alpha_and_IGF2R_combination_variable_DFS_patients_of_luminal_A_and_luminal_B_subtype_in_panel_A_/964279", "title"=>"Kaplan - Meier Curves for the IGF1R- alpha and IGF2R combination variable- DFS (patients of luminal A and luminal B subtype) in panel A.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-17 03:27:17"}
• {"files"=>["https://ndownloader.figshare.com/files/1423223"], "description"=>"<p>HR: hazard ratio.</p><p>MRM: Modified radical mastectomy.</p>", "links"=>[], "tags"=>["Biochemistry", "biomarkers", "cell biology", "Signal transduction", "cell signaling", "Molecular cell biology", "oncology", "Basic cancer research", "metastasis", "Cancers and neoplasms", "Breast tumors", "Tumor physiology", "Cancer detection and diagnosis", "Cancer risk factors", "Cancer treatment", "igf1r-alpha", "egfr", "adjusted", "luminal", "subtype"], "article_id"=>964280, "categories"=>["Biological Sciences"], "users"=>["Giannis Mountzios", "Dimitra Aivazi", "Ioannis Kostopoulos", "Helen P. Kourea", "George Kouvatseas", "Eleni Timotheadou", "Pantelis Zebekakis", "Ioannis Efstratiou", "Helen Gogas", "Chrisanthi Vamvouka", "Sofia Chrisafi", "Anastasios Stofas", "George Pentheroudakis", "Angelos Koutras", "Eleni Galani", "Dimitrios Bafaloukos", "George Fountzilas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091407.t003", "stats"=>{"downloads"=>6, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multivariate_model_for_the_IGF1R_alpha_and_EGFR_combined_variable_adjusted_for_clinical_parameters_patients_of_luminal_A_and_B_subtype_only_/964280", "title"=>"Multivariate model for the IGF1R-alpha and EGFR combined variable adjusted for clinical parameters (patients of luminal A and B subtype only).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-17 03:27:17"}
• {"files"=>["https://ndownloader.figshare.com/files/1423221"], "description"=>"<p>Multiple correspondence analysis graph.</p>", "links"=>[], "tags"=>["Biochemistry", "biomarkers", "cell biology", "Signal transduction", "cell signaling", "Molecular cell biology", "oncology", "Basic cancer research", "metastasis", "Cancers and neoplasms", "Breast tumors", "Tumor physiology", "Cancer detection and diagnosis", "Cancer risk factors", "Cancer treatment", "correspondence"], "article_id"=>964278, "categories"=>["Biological Sciences"], "users"=>["Giannis Mountzios", "Dimitra Aivazi", "Ioannis Kostopoulos", "Helen P. Kourea", "George Kouvatseas", "Eleni Timotheadou", "Pantelis Zebekakis", "Ioannis Efstratiou", "Helen Gogas", "Chrisanthi Vamvouka", "Sofia Chrisafi", "Anastasios Stofas", "George Pentheroudakis", "Angelos Koutras", "Eleni Galani", "Dimitrios Bafaloukos", "George Fountzilas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091407.g004", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multiple_correspondence_analysis_graph_/964278", "title"=>"Multiple correspondence analysis graph.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-17 03:27:17"}
• {"files"=>["https://ndownloader.figshare.com/files/1423217"], "description"=>"<p>REMARK flow chart.</p>", "links"=>[], "tags"=>["Biochemistry", "biomarkers", "cell biology", "Signal transduction", "cell signaling", "Molecular cell biology", "oncology", "Basic cancer research", "metastasis", "Cancers and neoplasms", "Breast tumors", "Tumor physiology", "Cancer detection and diagnosis", "Cancer risk factors", "Cancer treatment"], "article_id"=>964274, "categories"=>["Biological Sciences"], "users"=>["Giannis Mountzios", "Dimitra Aivazi", "Ioannis Kostopoulos", "Helen P. Kourea", "George Kouvatseas", "Eleni Timotheadou", "Pantelis Zebekakis", "Ioannis Efstratiou", "Helen Gogas", "Chrisanthi Vamvouka", "Sofia Chrisafi", "Anastasios Stofas", "George Pentheroudakis", "Angelos Koutras", "Eleni Galani", "Dimitrios Bafaloukos", "George Fountzilas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0091407.g001", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_REMARK_flow_chart_/964274", "title"=>"REMARK flow chart.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-17 03:27:17"}

PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2014-01-01T00:00:00Z", "end_date"=>"2014-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Medicine and health sciences", "average_usage"=>[285]}, {"subject_area"=>"/Medicine and health sciences/Immunology", "average_usage"=>[289]}]}

F1000Prime