Expression profiling to predict postoperative prognosis for estrogen receptor‐negative breast cancers by analysis of 25,344 genes on a cDNA microarray

Estrogen receptor (ER) status is an essential determinant of clinical and biological behavior of human breast cancers. While ER‐positive breast cancers respond well to adjuvant hormone therapy, ER‐negative tumors are generally resistant. To date, no attempts have succeeded in finding molecular marke...

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Veröffentlicht in:Cancer science 2004-03, Vol.95 (3), p.218-225
Hauptverfasser: Nagahata, Takemitsu, Onda, Masamitsu, Emi, Mitsuru, Nagai, Hisaki, Tsumagari, Koji, Fujimoto, Takashi, Hirano, Akira, Sato, Takamichi, Nishikawa, Kiyohiro, Akiyama, Futoshi, Sakamoto, Goi, Kasumi, Fujio, Miki, Yoshio, Tanaka, Toshihiro, Tsunoda, Tatsuhiko
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container_end_page 225
container_issue 3
container_start_page 218
container_title Cancer science
container_volume 95
creator Nagahata, Takemitsu
Onda, Masamitsu
Emi, Mitsuru
Nagai, Hisaki
Tsumagari, Koji
Fujimoto, Takashi
Hirano, Akira
Sato, Takamichi
Nishikawa, Kiyohiro
Akiyama, Futoshi
Sakamoto, Goi
Kasumi, Fujio
Miki, Yoshio
Tanaka, Toshihiro
Tsunoda, Tatsuhiko
description Estrogen receptor (ER) status is an essential determinant of clinical and biological behavior of human breast cancers. While ER‐positive breast cancers respond well to adjuvant hormone therapy, ER‐negative tumors are generally resistant. To date, no attempts have succeeded in finding molecular markers for classifying ER‐negative breast cancers with respect to postoperative prognosis. To identify a set of prognostic markers for this type of cancer, we used a cDNA microarray consisting of 25,344 human genes to investigate expression profiles of ten primary breast cancers from patients who had died of breast cancer within 5 years after surgery (5y‐D) and 10 from patients who had survived disease‐free for more than 5 years (5y‐S). Sets of genes characterizing each group were identified by Mann‐Whitney and random‐permutation tests. We documented 71 genes with higher expression in the 5y‐D group than in the 5y‐S group, and 15 with higher expression in the 5y‐S group than in the 5y‐D group. Semi‐quantitative RT‐PCR experiments were carried out to confirm the results of the microarray analysis. We established a scoring system for predicting postoperative prognosis of ER‐negative breast cancers on the basis of aberrant gene expression. The list of genes reported here provides valuable information with regard to progression of breast cancer and is a source of possible target molecules for development of novel drugs to treat patients with ER‐negative breast cancers.
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While ER‐positive breast cancers respond well to adjuvant hormone therapy, ER‐negative tumors are generally resistant. To date, no attempts have succeeded in finding molecular markers for classifying ER‐negative breast cancers with respect to postoperative prognosis. To identify a set of prognostic markers for this type of cancer, we used a cDNA microarray consisting of 25,344 human genes to investigate expression profiles of ten primary breast cancers from patients who had died of breast cancer within 5 years after surgery (5y‐D) and 10 from patients who had survived disease‐free for more than 5 years (5y‐S). Sets of genes characterizing each group were identified by Mann‐Whitney and random‐permutation tests. We documented 71 genes with higher expression in the 5y‐D group than in the 5y‐S group, and 15 with higher expression in the 5y‐S group than in the 5y‐D group. Semi‐quantitative RT‐PCR experiments were carried out to confirm the results of the microarray analysis. We established a scoring system for predicting postoperative prognosis of ER‐negative breast cancers on the basis of aberrant gene expression. The list of genes reported here provides valuable information with regard to progression of breast cancer and is a source of possible target molecules for development of novel drugs to treat patients with ER‐negative breast cancers.</description><identifier>ISSN: 1347-9032</identifier><identifier>EISSN: 1349-7006</identifier><identifier>DOI: 10.1111/j.1349-7006.2004.tb02206.x</identifier><identifier>PMID: 15016320</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Adult ; Aged ; Biological and medical sciences ; Biomarkers, Tumor - analysis ; Breast cancer ; Breast Neoplasms - genetics ; Breast Neoplasms - pathology ; Disease Progression ; DNA microarrays ; DNA Primers ; Drug development ; Estrogen receptors ; Female ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Gynecology. Andrology. Obstetrics ; Humans ; Mammary gland diseases ; Medical sciences ; Middle Aged ; Neoplasm Invasiveness ; Oligonucleotide Array Sequence Analysis ; Patients ; Postoperative Period ; Prognosis ; Receptors, Estrogen - metabolism ; Reverse Transcriptase Polymerase Chain Reaction ; RNA, Neoplasm - analysis ; Surgery ; Tumors</subject><ispartof>Cancer science, 2004-03, Vol.95 (3), p.218-225</ispartof><rights>2004 INIST-CNRS</rights><rights>Copyright John Wiley &amp; Sons, Inc. Mar 2004</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6578-d8b8b0f2c5209d95b76108642c62cbfc46e7985c412c4e76c7ce748f5d2a7bbd3</citedby><cites>FETCH-LOGICAL-c6578-d8b8b0f2c5209d95b76108642c62cbfc46e7985c412c4e76c7ce748f5d2a7bbd3</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/PMC11160046/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11160046/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,1417,11562,27924,27925,45574,45575,46052,46476,53791,53793</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1111%2Fj.1349-7006.2004.tb02206.x$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=15707738$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15016320$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nagahata, Takemitsu</creatorcontrib><creatorcontrib>Onda, Masamitsu</creatorcontrib><creatorcontrib>Emi, Mitsuru</creatorcontrib><creatorcontrib>Nagai, Hisaki</creatorcontrib><creatorcontrib>Tsumagari, Koji</creatorcontrib><creatorcontrib>Fujimoto, Takashi</creatorcontrib><creatorcontrib>Hirano, Akira</creatorcontrib><creatorcontrib>Sato, Takamichi</creatorcontrib><creatorcontrib>Nishikawa, Kiyohiro</creatorcontrib><creatorcontrib>Akiyama, Futoshi</creatorcontrib><creatorcontrib>Sakamoto, Goi</creatorcontrib><creatorcontrib>Kasumi, Fujio</creatorcontrib><creatorcontrib>Miki, Yoshio</creatorcontrib><creatorcontrib>Tanaka, Toshihiro</creatorcontrib><creatorcontrib>Tsunoda, Tatsuhiko</creatorcontrib><title>Expression profiling to predict postoperative prognosis for estrogen receptor‐negative breast cancers by analysis of 25,344 genes on a cDNA microarray</title><title>Cancer science</title><addtitle>Cancer Sci</addtitle><description>Estrogen receptor (ER) status is an essential determinant of clinical and biological behavior of human breast cancers. While ER‐positive breast cancers respond well to adjuvant hormone therapy, ER‐negative tumors are generally resistant. To date, no attempts have succeeded in finding molecular markers for classifying ER‐negative breast cancers with respect to postoperative prognosis. To identify a set of prognostic markers for this type of cancer, we used a cDNA microarray consisting of 25,344 human genes to investigate expression profiles of ten primary breast cancers from patients who had died of breast cancer within 5 years after surgery (5y‐D) and 10 from patients who had survived disease‐free for more than 5 years (5y‐S). Sets of genes characterizing each group were identified by Mann‐Whitney and random‐permutation tests. We documented 71 genes with higher expression in the 5y‐D group than in the 5y‐S group, and 15 with higher expression in the 5y‐S group than in the 5y‐D group. Semi‐quantitative RT‐PCR experiments were carried out to confirm the results of the microarray analysis. We established a scoring system for predicting postoperative prognosis of ER‐negative breast cancers on the basis of aberrant gene expression. The list of genes reported here provides valuable information with regard to progression of breast cancer and is a source of possible target molecules for development of novel drugs to treat patients with ER‐negative breast cancers.</description><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - genetics</subject><subject>Breast Neoplasms - pathology</subject><subject>Disease Progression</subject><subject>DNA microarrays</subject><subject>DNA Primers</subject><subject>Drug development</subject><subject>Estrogen receptors</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Gynecology. Andrology. 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While ER‐positive breast cancers respond well to adjuvant hormone therapy, ER‐negative tumors are generally resistant. To date, no attempts have succeeded in finding molecular markers for classifying ER‐negative breast cancers with respect to postoperative prognosis. To identify a set of prognostic markers for this type of cancer, we used a cDNA microarray consisting of 25,344 human genes to investigate expression profiles of ten primary breast cancers from patients who had died of breast cancer within 5 years after surgery (5y‐D) and 10 from patients who had survived disease‐free for more than 5 years (5y‐S). Sets of genes characterizing each group were identified by Mann‐Whitney and random‐permutation tests. We documented 71 genes with higher expression in the 5y‐D group than in the 5y‐S group, and 15 with higher expression in the 5y‐S group than in the 5y‐D group. Semi‐quantitative RT‐PCR experiments were carried out to confirm the results of the microarray analysis. We established a scoring system for predicting postoperative prognosis of ER‐negative breast cancers on the basis of aberrant gene expression. The list of genes reported here provides valuable information with regard to progression of breast cancer and is a source of possible target molecules for development of novel drugs to treat patients with ER‐negative breast cancers.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>15016320</pmid><doi>10.1111/j.1349-7006.2004.tb02206.x</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Biological and medical sciences
Biomarkers, Tumor - analysis
Breast cancer
Breast Neoplasms - genetics
Breast Neoplasms - pathology
Disease Progression
DNA microarrays
DNA Primers
Drug development
Estrogen receptors
Female
Gene expression
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Gynecology. Andrology. Obstetrics
Humans
Mammary gland diseases
Medical sciences
Middle Aged
Neoplasm Invasiveness
Oligonucleotide Array Sequence Analysis
Patients
Postoperative Period
Prognosis
Receptors, Estrogen - metabolism
Reverse Transcriptase Polymerase Chain Reaction
RNA, Neoplasm - analysis
Surgery
Tumors
title Expression profiling to predict postoperative prognosis for estrogen receptor‐negative breast cancers by analysis of 25,344 genes on a cDNA microarray
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