p53 as an Independent Prognostic Marker in Lymph Node-Negative Breast Cancer Patients

Background: At present, most decisions concerning the use of adjuvant therapy in lymph node-negative breast cancer patients are made on the basis of traditional factors such as tumor size, nodal status, and histopathologic features. However, prognostic factors are being investigated that could ident...

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Veröffentlicht in:JNCI : Journal of the National Cancer Institute 1993-06, Vol.85 (12), p.965-970
Hauptverfasser: Silvestrini, Rosella, Benini, Elvira, Daidone, Maria Grazia, Veneroni, Silvia, Boracchi, Patrizia, Cappelletti, Vera, Fronzo, Giovanni Di, Veronesi, Umberto
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container_issue 12
container_start_page 965
container_title JNCI : Journal of the National Cancer Institute
container_volume 85
creator Silvestrini, Rosella
Benini, Elvira
Daidone, Maria Grazia
Veneroni, Silvia
Boracchi, Patrizia
Cappelletti, Vera
Fronzo, Giovanni Di
Veronesi, Umberto
description Background: At present, most decisions concerning the use of adjuvant therapy in lymph node-negative breast cancer patients are made on the basis of traditional factors such as tumor size, nodal status, and histopathologic features. However, prognostic factors are being investigated that could identify high-risk groups and that could better address treatment efforts for those patients. Identification of more accurate prognostic markers, such as the expression of the mutant p53 protein encoded by the p53 (also known as TP53) tumor suppressor gene, that are reproducible, easily assessable, and independent in predicting clinical outcome would have a beneficial impact on cancer treatment decisions. Purpose: Our Purpose was to analyze the predictive relevance of mutant p53 protein expression on 6-year relapse-free and overall survival in node-negative breast cancer patients in relation to menopausal status, tumor size, cell kinetics, and estrogen receptor status. Methods: Expression of mutant p53 protein was detected by an immunohistochemical technique using a 1: 50 dilution of PAb1801 monoclonal antibody on paraffin-embedded tumor specimens obtained from 256 axillary lymph nodenegative breast cancer patients, with long-term follow-up (median, 72 months). The [3H]thymidine labeling index, a measure of cell kinetics, was evaluated on histologic sections after fresh tumor tissue was labeled with [3H]thymidine. Estrogen receptor status was determined by the dextran-coated charcoal absorption technique. Statistical comparisons were made for levels of p53 protein expression, [3H]thymidine labeling index, estrogen receptor status, tumor size, and menopausal status with respect to 6-year relapse-free survival and overall survival. Results: Overexpression of the p53 protein, defined as the presence of more than 5% positive cells, was detected in 113 (44%) of 256 tumors. Odds ratios (ORs) for multiple regression analysis of 6-year relapse-free survival were significantly higher for p53 (OR = 3.24; 95% confidence limits [CL] = 2.01–5.23) and [3H]thymidine labeling index (OR = 1.92; 95% CL = 1.19–3.12), both of which appeared to be the most relevant indicators of relapse, than for tumor size (OR = 1.49; 95% CL = 0.94–2.38) and estrogen receptor status (OR = 0.91; 95% CL = 0.55–1.51). Overexpression was found to be unrelated to menopausal status. Conclusions: Immunohistochemically detected p53 overexpression is an independent marker for shortened 6-year relapse-free and ov
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However, prognostic factors are being investigated that could identify high-risk groups and that could better address treatment efforts for those patients. Identification of more accurate prognostic markers, such as the expression of the mutant p53 protein encoded by the p53 (also known as TP53) tumor suppressor gene, that are reproducible, easily assessable, and independent in predicting clinical outcome would have a beneficial impact on cancer treatment decisions. Purpose: Our Purpose was to analyze the predictive relevance of mutant p53 protein expression on 6-year relapse-free and overall survival in node-negative breast cancer patients in relation to menopausal status, tumor size, cell kinetics, and estrogen receptor status. Methods: Expression of mutant p53 protein was detected by an immunohistochemical technique using a 1: 50 dilution of PAb1801 monoclonal antibody on paraffin-embedded tumor specimens obtained from 256 axillary lymph nodenegative breast cancer patients, with long-term follow-up (median, 72 months). The [3H]thymidine labeling index, a measure of cell kinetics, was evaluated on histologic sections after fresh tumor tissue was labeled with [3H]thymidine. Estrogen receptor status was determined by the dextran-coated charcoal absorption technique. Statistical comparisons were made for levels of p53 protein expression, [3H]thymidine labeling index, estrogen receptor status, tumor size, and menopausal status with respect to 6-year relapse-free survival and overall survival. Results: Overexpression of the p53 protein, defined as the presence of more than 5% positive cells, was detected in 113 (44%) of 256 tumors. Odds ratios (ORs) for multiple regression analysis of 6-year relapse-free survival were significantly higher for p53 (OR = 3.24; 95% confidence limits [CL] = 2.01–5.23) and [3H]thymidine labeling index (OR = 1.92; 95% CL = 1.19–3.12), both of which appeared to be the most relevant indicators of relapse, than for tumor size (OR = 1.49; 95% CL = 0.94–2.38) and estrogen receptor status (OR = 0.91; 95% CL = 0.55–1.51). Overexpression was found to be unrelated to menopausal status. Conclusions: Immunohistochemically detected p53 overexpression is an independent marker for shortened 6-year relapse-free and overall survival in node-negative patients with resectable breast cancers. Based on these findings, p53 overexpression should be used with other established prognostic factors, such as [3H]thymidine labeling index and estrogen receptor status, to further refine the prognostic assessment of node-negative breast cancer. [J Natl Cancer Inst 85: 965–1970, 1993]</description><identifier>ISSN: 0027-8874</identifier><identifier>EISSN: 1460-2105</identifier><identifier>DOI: 10.1093/jnci/85.12.965</identifier><identifier>PMID: 8496982</identifier><identifier>CODEN: JNCIEQ</identifier><language>eng</language><publisher>Cary, NC: Oxford University Press</publisher><subject>Adult ; Analysis of Variance ; Biological and medical sciences ; Biomarkers, Tumor ; Breast cancer ; Breast Neoplasms - chemistry ; Breast Neoplasms - diagnosis ; Breast Neoplasms - genetics ; Female ; Genes, p53 ; Gynecology. Andrology. Obstetrics ; Humans ; Immunohistochemistry ; Likelihood Functions ; Logistic Models ; Lymphatic system ; Mammary gland diseases ; Medical research ; Medical sciences ; Menopause ; Middle Aged ; Multivariate Analysis ; Neoplasm Recurrence, Local ; Odds Ratio ; Prognosis ; Proteins ; Receptors, Estrogen - analysis ; Regression Analysis ; Retrospective Studies ; Risk Factors ; Survival Analysis ; Survival Rate ; Tritium ; Tumor Suppressor Protein p53 - analysis ; Tumors</subject><ispartof>JNCI : Journal of the National Cancer Institute, 1993-06, Vol.85 (12), p.965-970</ispartof><rights>1993 INIST-CNRS</rights><rights>Copyright Oxford University Press(England) Jun 16, 1993</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-89539ec113d107a506db51956b9c5af87aaf58c0aa13d0a13bea6f96afa5a0503</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=4846173$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/8496982$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Silvestrini, Rosella</creatorcontrib><creatorcontrib>Benini, Elvira</creatorcontrib><creatorcontrib>Daidone, Maria Grazia</creatorcontrib><creatorcontrib>Veneroni, Silvia</creatorcontrib><creatorcontrib>Boracchi, Patrizia</creatorcontrib><creatorcontrib>Cappelletti, Vera</creatorcontrib><creatorcontrib>Fronzo, Giovanni Di</creatorcontrib><creatorcontrib>Veronesi, Umberto</creatorcontrib><title>p53 as an Independent Prognostic Marker in Lymph Node-Negative Breast Cancer Patients</title><title>JNCI : Journal of the National Cancer Institute</title><addtitle>J Natl Cancer Inst</addtitle><description>Background: At present, most decisions concerning the use of adjuvant therapy in lymph node-negative breast cancer patients are made on the basis of traditional factors such as tumor size, nodal status, and histopathologic features. However, prognostic factors are being investigated that could identify high-risk groups and that could better address treatment efforts for those patients. Identification of more accurate prognostic markers, such as the expression of the mutant p53 protein encoded by the p53 (also known as TP53) tumor suppressor gene, that are reproducible, easily assessable, and independent in predicting clinical outcome would have a beneficial impact on cancer treatment decisions. Purpose: Our Purpose was to analyze the predictive relevance of mutant p53 protein expression on 6-year relapse-free and overall survival in node-negative breast cancer patients in relation to menopausal status, tumor size, cell kinetics, and estrogen receptor status. Methods: Expression of mutant p53 protein was detected by an immunohistochemical technique using a 1: 50 dilution of PAb1801 monoclonal antibody on paraffin-embedded tumor specimens obtained from 256 axillary lymph nodenegative breast cancer patients, with long-term follow-up (median, 72 months). The [3H]thymidine labeling index, a measure of cell kinetics, was evaluated on histologic sections after fresh tumor tissue was labeled with [3H]thymidine. Estrogen receptor status was determined by the dextran-coated charcoal absorption technique. Statistical comparisons were made for levels of p53 protein expression, [3H]thymidine labeling index, estrogen receptor status, tumor size, and menopausal status with respect to 6-year relapse-free survival and overall survival. Results: Overexpression of the p53 protein, defined as the presence of more than 5% positive cells, was detected in 113 (44%) of 256 tumors. Odds ratios (ORs) for multiple regression analysis of 6-year relapse-free survival were significantly higher for p53 (OR = 3.24; 95% confidence limits [CL] = 2.01–5.23) and [3H]thymidine labeling index (OR = 1.92; 95% CL = 1.19–3.12), both of which appeared to be the most relevant indicators of relapse, than for tumor size (OR = 1.49; 95% CL = 0.94–2.38) and estrogen receptor status (OR = 0.91; 95% CL = 0.55–1.51). Overexpression was found to be unrelated to menopausal status. Conclusions: Immunohistochemically detected p53 overexpression is an independent marker for shortened 6-year relapse-free and overall survival in node-negative patients with resectable breast cancers. Based on these findings, p53 overexpression should be used with other established prognostic factors, such as [3H]thymidine labeling index and estrogen receptor status, to further refine the prognostic assessment of node-negative breast cancer. [J Natl Cancer Inst 85: 965–1970, 1993]</description><subject>Adult</subject><subject>Analysis of Variance</subject><subject>Biological and medical sciences</subject><subject>Biomarkers, Tumor</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - chemistry</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast Neoplasms - genetics</subject><subject>Female</subject><subject>Genes, p53</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Humans</subject><subject>Immunohistochemistry</subject><subject>Likelihood Functions</subject><subject>Logistic Models</subject><subject>Lymphatic system</subject><subject>Mammary gland diseases</subject><subject>Medical research</subject><subject>Medical sciences</subject><subject>Menopause</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Neoplasm Recurrence, Local</subject><subject>Odds Ratio</subject><subject>Prognosis</subject><subject>Proteins</subject><subject>Receptors, Estrogen - analysis</subject><subject>Regression Analysis</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Survival Analysis</subject><subject>Survival Rate</subject><subject>Tritium</subject><subject>Tumor Suppressor Protein p53 - analysis</subject><subject>Tumors</subject><issn>0027-8874</issn><issn>1460-2105</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1993</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkMtPGzEQh62qiAbolRuSVSFuG_x-HEsKBCk8DiBVvVgTr5dumngXe1PBf49RohzwYTzy75uR9SF0TMmYEsvPF9G350aOKRtbJb-gERWKVIwS-RWNCGG6MkaLb-gg5wUpxzKxj_aNsMoaNkJPveQYMoaIb2Id-lBKHPBD6p5jl4fW41tI_0LCbcSzt1X_F991dajuwjMM7f-AL1KAPOAJRF-gh_JYxvMR2mtgmcP37X2Inq4uHyfTanZ_fTP5Oas8N2KojJXcBk8prynRIImq55JaqebWS2iMBmik8QSgEKSUeQDVWAUNSCCS8EN0ttnbp-5lHfLgVm32YbmEGLp1dlpqYZhSBfzxCVx06xTL3xzjUnEhNCvQeAP51OWcQuP61K4gvTlK3Ids9yHbGekoc0V2GTjZbl3PV6He4Vu7JT_d5pA9LJtULLV5hwkjFNW8YNUGa_MQXndx8e6U5lq66e8_7prr6a-L28fSvAPhYZWU</recordid><startdate>19930616</startdate><enddate>19930616</enddate><creator>Silvestrini, Rosella</creator><creator>Benini, Elvira</creator><creator>Daidone, Maria Grazia</creator><creator>Veneroni, Silvia</creator><creator>Boracchi, Patrizia</creator><creator>Cappelletti, Vera</creator><creator>Fronzo, Giovanni Di</creator><creator>Veronesi, Umberto</creator><general>Oxford University Press</general><general>Superintendent of Documents</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>19930616</creationdate><title>p53 as an Independent Prognostic Marker in Lymph Node-Negative Breast Cancer Patients</title><author>Silvestrini, Rosella ; Benini, Elvira ; Daidone, Maria Grazia ; Veneroni, Silvia ; Boracchi, Patrizia ; Cappelletti, Vera ; Fronzo, Giovanni Di ; Veronesi, Umberto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-89539ec113d107a506db51956b9c5af87aaf58c0aa13d0a13bea6f96afa5a0503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Adult</topic><topic>Analysis of Variance</topic><topic>Biological and medical sciences</topic><topic>Biomarkers, Tumor</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - chemistry</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Breast Neoplasms - genetics</topic><topic>Female</topic><topic>Genes, p53</topic><topic>Gynecology. 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Obstetrics</topic><topic>Humans</topic><topic>Immunohistochemistry</topic><topic>Likelihood Functions</topic><topic>Logistic Models</topic><topic>Lymphatic system</topic><topic>Mammary gland diseases</topic><topic>Medical research</topic><topic>Medical sciences</topic><topic>Menopause</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Neoplasm Recurrence, Local</topic><topic>Odds Ratio</topic><topic>Prognosis</topic><topic>Proteins</topic><topic>Receptors, Estrogen - analysis</topic><topic>Regression Analysis</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Survival Analysis</topic><topic>Survival Rate</topic><topic>Tritium</topic><topic>Tumor Suppressor Protein p53 - analysis</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Silvestrini, Rosella</creatorcontrib><creatorcontrib>Benini, Elvira</creatorcontrib><creatorcontrib>Daidone, Maria Grazia</creatorcontrib><creatorcontrib>Veneroni, Silvia</creatorcontrib><creatorcontrib>Boracchi, Patrizia</creatorcontrib><creatorcontrib>Cappelletti, Vera</creatorcontrib><creatorcontrib>Fronzo, Giovanni Di</creatorcontrib><creatorcontrib>Veronesi, Umberto</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>JNCI : Journal of the National Cancer Institute</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Silvestrini, Rosella</au><au>Benini, Elvira</au><au>Daidone, Maria Grazia</au><au>Veneroni, Silvia</au><au>Boracchi, Patrizia</au><au>Cappelletti, Vera</au><au>Fronzo, Giovanni Di</au><au>Veronesi, Umberto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>p53 as an Independent Prognostic Marker in Lymph Node-Negative Breast Cancer Patients</atitle><jtitle>JNCI : Journal of the National Cancer Institute</jtitle><addtitle>J Natl Cancer Inst</addtitle><date>1993-06-16</date><risdate>1993</risdate><volume>85</volume><issue>12</issue><spage>965</spage><epage>970</epage><pages>965-970</pages><issn>0027-8874</issn><eissn>1460-2105</eissn><coden>JNCIEQ</coden><abstract>Background: At present, most decisions concerning the use of adjuvant therapy in lymph node-negative breast cancer patients are made on the basis of traditional factors such as tumor size, nodal status, and histopathologic features. However, prognostic factors are being investigated that could identify high-risk groups and that could better address treatment efforts for those patients. Identification of more accurate prognostic markers, such as the expression of the mutant p53 protein encoded by the p53 (also known as TP53) tumor suppressor gene, that are reproducible, easily assessable, and independent in predicting clinical outcome would have a beneficial impact on cancer treatment decisions. Purpose: Our Purpose was to analyze the predictive relevance of mutant p53 protein expression on 6-year relapse-free and overall survival in node-negative breast cancer patients in relation to menopausal status, tumor size, cell kinetics, and estrogen receptor status. Methods: Expression of mutant p53 protein was detected by an immunohistochemical technique using a 1: 50 dilution of PAb1801 monoclonal antibody on paraffin-embedded tumor specimens obtained from 256 axillary lymph nodenegative breast cancer patients, with long-term follow-up (median, 72 months). The [3H]thymidine labeling index, a measure of cell kinetics, was evaluated on histologic sections after fresh tumor tissue was labeled with [3H]thymidine. Estrogen receptor status was determined by the dextran-coated charcoal absorption technique. Statistical comparisons were made for levels of p53 protein expression, [3H]thymidine labeling index, estrogen receptor status, tumor size, and menopausal status with respect to 6-year relapse-free survival and overall survival. Results: Overexpression of the p53 protein, defined as the presence of more than 5% positive cells, was detected in 113 (44%) of 256 tumors. Odds ratios (ORs) for multiple regression analysis of 6-year relapse-free survival were significantly higher for p53 (OR = 3.24; 95% confidence limits [CL] = 2.01–5.23) and [3H]thymidine labeling index (OR = 1.92; 95% CL = 1.19–3.12), both of which appeared to be the most relevant indicators of relapse, than for tumor size (OR = 1.49; 95% CL = 0.94–2.38) and estrogen receptor status (OR = 0.91; 95% CL = 0.55–1.51). Overexpression was found to be unrelated to menopausal status. Conclusions: Immunohistochemically detected p53 overexpression is an independent marker for shortened 6-year relapse-free and overall survival in node-negative patients with resectable breast cancers. Based on these findings, p53 overexpression should be used with other established prognostic factors, such as [3H]thymidine labeling index and estrogen receptor status, to further refine the prognostic assessment of node-negative breast cancer. [J Natl Cancer Inst 85: 965–1970, 1993]</abstract><cop>Cary, NC</cop><pub>Oxford University Press</pub><pmid>8496982</pmid><doi>10.1093/jnci/85.12.965</doi><tpages>6</tpages></addata></record>
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subjects Adult
Analysis of Variance
Biological and medical sciences
Biomarkers, Tumor
Breast cancer
Breast Neoplasms - chemistry
Breast Neoplasms - diagnosis
Breast Neoplasms - genetics
Female
Genes, p53
Gynecology. Andrology. Obstetrics
Humans
Immunohistochemistry
Likelihood Functions
Logistic Models
Lymphatic system
Mammary gland diseases
Medical research
Medical sciences
Menopause
Middle Aged
Multivariate Analysis
Neoplasm Recurrence, Local
Odds Ratio
Prognosis
Proteins
Receptors, Estrogen - analysis
Regression Analysis
Retrospective Studies
Risk Factors
Survival Analysis
Survival Rate
Tritium
Tumor Suppressor Protein p53 - analysis
Tumors
title p53 as an Independent Prognostic Marker in Lymph Node-Negative Breast Cancer Patients
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