Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapy
Some patients with breast cancer develop local recurrence after breast-conservation surgery despite postoperative radiotherapy, whereas others remain free of local recurrence even in the absence of radiotherapy. As clinical parameters are insufficient for identifying these two groups of patients, we...
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creator | Niméus-Malmström, Emma Krogh, Morten Malmström, Per Strand, Carina Fredriksson, Irma Karlsson, Per Nordenskjöld, Bo Stål, Olle Ostberg, Görel Peterson, Carsten Fernö, Mårten |
description | Some patients with breast cancer develop local recurrence after breast-conservation surgery despite postoperative radiotherapy, whereas others remain free of local recurrence even in the absence of radiotherapy. As clinical parameters are insufficient for identifying these two groups of patients, we investigated whether gene expression profiling would add further information.
We performed gene expression analysis (oligonucleotide arrays, 26,824 reporters) on 143 patients with lymph node-negative disease and tumor-free margins. A support vector machine was employed to build classifiers using leave-one-out cross-validation.
Within the estrogen receptor-positive (ER+) subgroup, the gene expression profile clearly distinguished patients with local recurrence after radiotherapy (n = 20) from those without local recurrence (n = 80 with or without radiotherapy). The receiver operating characteristic (ROC) area was 0.91, and 5,237 of 26,824 reporters had a P value of less than 0.001 (false discovery rate = 0.005). This gene expression profile provides substantially added value to conventional clinical markers (for example, age, histological grade, and tumor size) in predicting local recurrence despite radiotherapy. Within the ER- subgroup, a weaker, but still significant, signal was found (ROC area = 0.74). The ROC area for distinguishing patients who develop local recurrence from those who remain local recurrence-free in the absence of radiotherapy was 0.66 (combined ER+/ER-).
A highly distinct gene expression profile for patients developing local recurrence after breast-conservation surgery despite radiotherapy has been identified. If verified in further studies, this profile might be a most important tool in the decision making for surgery and adjuvant therapy. |
doi_str_mv | 10.1186/bcr1997 |
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We performed gene expression analysis (oligonucleotide arrays, 26,824 reporters) on 143 patients with lymph node-negative disease and tumor-free margins. A support vector machine was employed to build classifiers using leave-one-out cross-validation.
Within the estrogen receptor-positive (ER+) subgroup, the gene expression profile clearly distinguished patients with local recurrence after radiotherapy (n = 20) from those without local recurrence (n = 80 with or without radiotherapy). The receiver operating characteristic (ROC) area was 0.91, and 5,237 of 26,824 reporters had a P value of less than 0.001 (false discovery rate = 0.005). This gene expression profile provides substantially added value to conventional clinical markers (for example, age, histological grade, and tumor size) in predicting local recurrence despite radiotherapy. Within the ER- subgroup, a weaker, but still significant, signal was found (ROC area = 0.74). The ROC area for distinguishing patients who develop local recurrence from those who remain local recurrence-free in the absence of radiotherapy was 0.66 (combined ER+/ER-).
A highly distinct gene expression profile for patients developing local recurrence after breast-conservation surgery despite radiotherapy has been identified. If verified in further studies, this profile might be a most important tool in the decision making for surgery and adjuvant therapy.</description><identifier>ISSN: 1465-542X</identifier><identifier>ISSN: 1465-5411</identifier><identifier>EISSN: 1465-542X</identifier><identifier>DOI: 10.1186/bcr1997</identifier><identifier>PMID: 18430221</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; Aged ; Breast ; Breast Neoplasms - metabolism ; Breast Neoplasms - radiotherapy ; Breast Neoplasms - surgery ; Cancer ; Cancer and Oncology ; Cancer och onkologi ; Clinical Medicine ; Female ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genetic aspects ; Health aspects ; Humans ; Klinisk medicin ; Mastectomy, Segmental ; Medical and Health Sciences ; MEDICIN ; Medicin och hälsovetenskap ; MEDICINE ; Middle Aged ; Neoplasm Recurrence, Local - diagnosis ; Neoplasm Recurrence, Local - metabolism ; Neoplasm Recurrence, Local - prevention & control ; Oligonucleotide Array Sequence Analysis ; Predictive Value of Tests ; Radiotherapy, Adjuvant ; Receptors, Estrogen - metabolism ; Relapse ; Risk Assessment ; Risk Factors ; ROC Curve ; Surgery</subject><ispartof>Breast cancer research : BCR, 2008-01, Vol.10 (2), p.R34-R34, Article R34</ispartof><rights>COPYRIGHT 2008 BioMed Central Ltd.</rights><rights>Copyright National Library of Medicine - MEDLINE Abstracts 2008</rights><rights>Copyright © 2008 Niméus-Malmström et al.; licensee BioMed Central Ltd. 2008 Niméus-Malmström et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b659t-20c8f9a9b3ea4ffdf3bd9edc29bcc438ce52b6dd054d6296d75657d8665526753</citedby><cites>FETCH-LOGICAL-b659t-20c8f9a9b3ea4ffdf3bd9edc29bcc438ce52b6dd054d6296d75657d8665526753</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2397536/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2397536/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,550,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18430221$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-45891$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://lup.lub.lu.se/record/818801$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:117047918$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Niméus-Malmström, Emma</creatorcontrib><creatorcontrib>Krogh, Morten</creatorcontrib><creatorcontrib>Malmström, Per</creatorcontrib><creatorcontrib>Strand, Carina</creatorcontrib><creatorcontrib>Fredriksson, Irma</creatorcontrib><creatorcontrib>Karlsson, Per</creatorcontrib><creatorcontrib>Nordenskjöld, Bo</creatorcontrib><creatorcontrib>Stål, Olle</creatorcontrib><creatorcontrib>Ostberg, Görel</creatorcontrib><creatorcontrib>Peterson, Carsten</creatorcontrib><creatorcontrib>Fernö, Mårten</creatorcontrib><title>Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapy</title><title>Breast cancer research : BCR</title><addtitle>Breast Cancer Res</addtitle><description>Some patients with breast cancer develop local recurrence after breast-conservation surgery despite postoperative radiotherapy, whereas others remain free of local recurrence even in the absence of radiotherapy. As clinical parameters are insufficient for identifying these two groups of patients, we investigated whether gene expression profiling would add further information.
We performed gene expression analysis (oligonucleotide arrays, 26,824 reporters) on 143 patients with lymph node-negative disease and tumor-free margins. A support vector machine was employed to build classifiers using leave-one-out cross-validation.
Within the estrogen receptor-positive (ER+) subgroup, the gene expression profile clearly distinguished patients with local recurrence after radiotherapy (n = 20) from those without local recurrence (n = 80 with or without radiotherapy). The receiver operating characteristic (ROC) area was 0.91, and 5,237 of 26,824 reporters had a P value of less than 0.001 (false discovery rate = 0.005). This gene expression profile provides substantially added value to conventional clinical markers (for example, age, histological grade, and tumor size) in predicting local recurrence despite radiotherapy. Within the ER- subgroup, a weaker, but still significant, signal was found (ROC area = 0.74). The ROC area for distinguishing patients who develop local recurrence from those who remain local recurrence-free in the absence of radiotherapy was 0.66 (combined ER+/ER-).
A highly distinct gene expression profile for patients developing local recurrence after breast-conservation surgery despite radiotherapy has been identified. If verified in further studies, this profile might be a most important tool in the decision making for surgery and adjuvant therapy.</description><subject>Adult</subject><subject>Aged</subject><subject>Breast</subject><subject>Breast Neoplasms - metabolism</subject><subject>Breast Neoplasms - radiotherapy</subject><subject>Breast Neoplasms - surgery</subject><subject>Cancer</subject><subject>Cancer and Oncology</subject><subject>Cancer och onkologi</subject><subject>Clinical Medicine</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Klinisk medicin</subject><subject>Mastectomy, Segmental</subject><subject>Medical and Health Sciences</subject><subject>MEDICIN</subject><subject>Medicin och hälsovetenskap</subject><subject>MEDICINE</subject><subject>Middle Aged</subject><subject>Neoplasm Recurrence, Local - diagnosis</subject><subject>Neoplasm Recurrence, Local - metabolism</subject><subject>Neoplasm Recurrence, Local - prevention & control</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Predictive Value of Tests</subject><subject>Radiotherapy, Adjuvant</subject><subject>Receptors, Estrogen - metabolism</subject><subject>Relapse</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Surgery</subject><issn>1465-542X</issn><issn>1465-5411</issn><issn>1465-542X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>D8T</sourceid><recordid>eNqFk99uFCEUxidGY7Ua38AQL_SmW_kzwOCFSVO1mjTxRo13hIEzu9TZYYSZrX0uX9Cz7kZbk8ZMCDD8vg8O51BVTxg9ZqxRL1ufmTH6TvWA1UouZM2_3r02PqgelnJBKdONbO5XB6ypBeWcPah-nsEABH6MGUqJaSBjTl3s47AkcTuJa5evSJvBlYl4N3jIJMQyITDHsoJCRjdFGKZCAmygT-NW2ifvepLBzzkDaojrJhTubBY-DQXyBnW4X5nzEvLVEbmM04qk_LtP80TGVKY0QkZsAyS7ENO0wul49ai617m-wON9f1h9fvf20-n7xfnHsw-nJ-eLVkkzLTj1TWecaQW4uutCJ9pgIHhuWu9r0XiQvFUhUFkHxY0KWiqpQ6OUlFxpKQ6rxc63XMI4t3Z_Gza5aPe_vuEIrFS1Fhr581v5fh6xtdi2AtFI3QgprWmCtzV33pq6MxZPSCntQHaOod3RrXZv4pcTm_LS9nG2tWzMFn-9w5FdY5iYk-z6G6qbK0Nc2WXaWC4MBqvQ4NXOoI3pFoObKz6t7b7wUPx8v3tO32cok13H4qHv3QBpLlZTDJhL9l-QU6oY1wLBZ_-AF2nOAyYcT6yY1sI0CB3voKXrwcahS3gyj1-AdcQ6A6xlsCdMG1pLwbY5fbET-JxKydD9iY9Ru31K1yJ6ev0-_3L7tyN-AYdkI1o</recordid><startdate>20080101</startdate><enddate>20080101</enddate><creator>Niméus-Malmström, Emma</creator><creator>Krogh, Morten</creator><creator>Malmström, Per</creator><creator>Strand, Carina</creator><creator>Fredriksson, Irma</creator><creator>Karlsson, Per</creator><creator>Nordenskjöld, Bo</creator><creator>Stål, Olle</creator><creator>Ostberg, Görel</creator><creator>Peterson, Carsten</creator><creator>Fernö, Mårten</creator><general>BioMed Central Ltd</general><general>National Library of Medicine - MEDLINE Abstracts</general><general>BioMed Central</general><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>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>DG8</scope><scope>AGCHP</scope><scope>D8T</scope><scope>D95</scope><scope>ZZAVC</scope></search><sort><creationdate>20080101</creationdate><title>Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapy</title><author>Niméus-Malmström, Emma ; Krogh, Morten ; Malmström, Per ; Strand, Carina ; Fredriksson, Irma ; Karlsson, Per ; Nordenskjöld, Bo ; Stål, Olle ; Ostberg, Görel ; Peterson, Carsten ; Fernö, Mårten</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b659t-20c8f9a9b3ea4ffdf3bd9edc29bcc438ce52b6dd054d6296d75657d8665526753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Breast</topic><topic>Breast Neoplasms - metabolism</topic><topic>Breast Neoplasms - radiotherapy</topic><topic>Breast Neoplasms - surgery</topic><topic>Cancer</topic><topic>Cancer and Oncology</topic><topic>Cancer och onkologi</topic><topic>Clinical Medicine</topic><topic>Female</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Genetic aspects</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Klinisk medicin</topic><topic>Mastectomy, Segmental</topic><topic>Medical and Health Sciences</topic><topic>MEDICIN</topic><topic>Medicin och hälsovetenskap</topic><topic>MEDICINE</topic><topic>Middle Aged</topic><topic>Neoplasm Recurrence, Local - diagnosis</topic><topic>Neoplasm Recurrence, Local - metabolism</topic><topic>Neoplasm Recurrence, Local - prevention & control</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Predictive Value of Tests</topic><topic>Radiotherapy, Adjuvant</topic><topic>Receptors, Estrogen - metabolism</topic><topic>Relapse</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Niméus-Malmström, Emma</creatorcontrib><creatorcontrib>Krogh, Morten</creatorcontrib><creatorcontrib>Malmström, Per</creatorcontrib><creatorcontrib>Strand, Carina</creatorcontrib><creatorcontrib>Fredriksson, Irma</creatorcontrib><creatorcontrib>Karlsson, Per</creatorcontrib><creatorcontrib>Nordenskjöld, Bo</creatorcontrib><creatorcontrib>Stål, Olle</creatorcontrib><creatorcontrib>Ostberg, Görel</creatorcontrib><creatorcontrib>Peterson, Carsten</creatorcontrib><creatorcontrib>Fernö, Mårten</creatorcontrib><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 & Medical Complete (Alumni)</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Linköpings universitet</collection><collection>SWEPUB Lunds universitet full text</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Lunds universitet</collection><collection>SwePub Articles full text</collection><jtitle>Breast cancer research : BCR</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Niméus-Malmström, Emma</au><au>Krogh, Morten</au><au>Malmström, Per</au><au>Strand, Carina</au><au>Fredriksson, Irma</au><au>Karlsson, Per</au><au>Nordenskjöld, Bo</au><au>Stål, Olle</au><au>Ostberg, Görel</au><au>Peterson, Carsten</au><au>Fernö, Mårten</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapy</atitle><jtitle>Breast cancer research : BCR</jtitle><addtitle>Breast Cancer Res</addtitle><date>2008-01-01</date><risdate>2008</risdate><volume>10</volume><issue>2</issue><spage>R34</spage><epage>R34</epage><pages>R34-R34</pages><artnum>R34</artnum><issn>1465-542X</issn><issn>1465-5411</issn><eissn>1465-542X</eissn><abstract>Some patients with breast cancer develop local recurrence after breast-conservation surgery despite postoperative radiotherapy, whereas others remain free of local recurrence even in the absence of radiotherapy. As clinical parameters are insufficient for identifying these two groups of patients, we investigated whether gene expression profiling would add further information.
We performed gene expression analysis (oligonucleotide arrays, 26,824 reporters) on 143 patients with lymph node-negative disease and tumor-free margins. A support vector machine was employed to build classifiers using leave-one-out cross-validation.
Within the estrogen receptor-positive (ER+) subgroup, the gene expression profile clearly distinguished patients with local recurrence after radiotherapy (n = 20) from those without local recurrence (n = 80 with or without radiotherapy). The receiver operating characteristic (ROC) area was 0.91, and 5,237 of 26,824 reporters had a P value of less than 0.001 (false discovery rate = 0.005). This gene expression profile provides substantially added value to conventional clinical markers (for example, age, histological grade, and tumor size) in predicting local recurrence despite radiotherapy. Within the ER- subgroup, a weaker, but still significant, signal was found (ROC area = 0.74). The ROC area for distinguishing patients who develop local recurrence from those who remain local recurrence-free in the absence of radiotherapy was 0.66 (combined ER+/ER-).
A highly distinct gene expression profile for patients developing local recurrence after breast-conservation surgery despite radiotherapy has been identified. If verified in further studies, this profile might be a most important tool in the decision making for surgery and adjuvant therapy.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>18430221</pmid><doi>10.1186/bcr1997</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Breast Breast Neoplasms - metabolism Breast Neoplasms - radiotherapy Breast Neoplasms - surgery Cancer Cancer and Oncology Cancer och onkologi Clinical Medicine Female Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Genetic aspects Health aspects Humans Klinisk medicin Mastectomy, Segmental Medical and Health Sciences MEDICIN Medicin och hälsovetenskap MEDICINE Middle Aged Neoplasm Recurrence, Local - diagnosis Neoplasm Recurrence, Local - metabolism Neoplasm Recurrence, Local - prevention & control Oligonucleotide Array Sequence Analysis Predictive Value of Tests Radiotherapy, Adjuvant Receptors, Estrogen - metabolism Relapse Risk Assessment Risk Factors ROC Curve Surgery |
title | Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapy |
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