Gene expression patterns as marker for 5-year postoperative prognosis of primary breast cancers
To establish the novel prognostic markers for breast cancer, gene expression profile was examined genome-wide. We used cDNA microarray consisting of 18,432 human genes to compare genome-wide expression profiles of eight primary breast cancers, four from patients who died of breast cancer within 5 ye...
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| Veröffentlicht in: | Journal of cancer research and clinical oncology 2004-09, Vol.130 (9), p.537-545 |
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| container_title | Journal of cancer research and clinical oncology |
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| creator | Onda, Masamitsu Emi, Mitsuru Nagai, Hisaki Nagahata, Takemitsu Tsumagari, Kouji Fujimoto, Takashi Akiyama, Futoshi Sakamoto, Goi Makita, Masujirou Kasumi, Fujio Miki, Yoshio Tanaka, Toshihiro Tsunoda, Tatsuhiko Nakamura, Yusuke |
| description | To establish the novel prognostic markers for breast cancer, gene expression profile was examined genome-wide.
We used cDNA microarray consisting of 18,432 human genes to compare genome-wide expression profiles of eight primary breast cancers, four from patients who died of breast cancer within 5 years after surgery (5D group) and four who survived disease-free for more than 5 years (5S group).
We identified 21 genes whose expression was greater in tumors from the 5D group than in 5S tumors, and 23 with higher expression in the 5S group than in the 5D group. We established a Prognostic Index (PI) for prediction of postoperative prognosis, based on the aberrant expression profiles of ten of those genes. Among 20 additional cases chosen blindly, ten presented with high prognostic scores (>7, good) according to the PI; the remaining ten cases revealed scores |
| doi_str_mv | 10.1007/s00432-004-0574-7 |
| format | Article |
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We used cDNA microarray consisting of 18,432 human genes to compare genome-wide expression profiles of eight primary breast cancers, four from patients who died of breast cancer within 5 years after surgery (5D group) and four who survived disease-free for more than 5 years (5S group).
We identified 21 genes whose expression was greater in tumors from the 5D group than in 5S tumors, and 23 with higher expression in the 5S group than in the 5D group. We established a Prognostic Index (PI) for prediction of postoperative prognosis, based on the aberrant expression profiles of ten of those genes. Among 20 additional cases chosen blindly, ten presented with high prognostic scores (>7, good) according to the PI; the remaining ten cases revealed scores <7 (poor). The PI predicted the actual 5-year clinical outcomes of these 20 cases with 100% accuracy.
Our PI system is reliable in clinical settings for predicting postoperative risk for breast cancer. The extensive list of genes provides valuable information about progression of breast cancer and suggests potential target molecules for treating this disease.</description><identifier>ISSN: 0171-5216</identifier><identifier>EISSN: 1432-1335</identifier><identifier>DOI: 10.1007/s00432-004-0574-7</identifier><identifier>PMID: 15235906</identifier><language>eng</language><publisher>Germany: Springer Nature B.V</publisher><subject>Adult ; Aged ; Biomarkers, Tumor - analysis ; Breast cancer ; Breast Neoplasms - chemistry ; Breast Neoplasms - genetics ; Breast Neoplasms - mortality ; Breast Neoplasms - surgery ; Clinical outcomes ; Female ; Gene expression ; Gene Expression Regulation, Neoplastic ; Genetic Markers ; Humans ; Middle Aged ; Oligonucleotide Array Sequence Analysis ; Oncology ; Predictive Value of Tests ; Prognosis ; Reverse Transcriptase Polymerase Chain Reaction ; Survival Analysis ; Up-Regulation</subject><ispartof>Journal of cancer research and clinical oncology, 2004-09, Vol.130 (9), p.537-545</ispartof><rights>Copyright Springer-Verlag 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15235906$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Onda, Masamitsu</creatorcontrib><creatorcontrib>Emi, Mitsuru</creatorcontrib><creatorcontrib>Nagai, Hisaki</creatorcontrib><creatorcontrib>Nagahata, Takemitsu</creatorcontrib><creatorcontrib>Tsumagari, Kouji</creatorcontrib><creatorcontrib>Fujimoto, Takashi</creatorcontrib><creatorcontrib>Akiyama, Futoshi</creatorcontrib><creatorcontrib>Sakamoto, Goi</creatorcontrib><creatorcontrib>Makita, Masujirou</creatorcontrib><creatorcontrib>Kasumi, Fujio</creatorcontrib><creatorcontrib>Miki, Yoshio</creatorcontrib><creatorcontrib>Tanaka, Toshihiro</creatorcontrib><creatorcontrib>Tsunoda, Tatsuhiko</creatorcontrib><creatorcontrib>Nakamura, Yusuke</creatorcontrib><title>Gene expression patterns as marker for 5-year postoperative prognosis of primary breast cancers</title><title>Journal of cancer research and clinical oncology</title><addtitle>J Cancer Res Clin Oncol</addtitle><description>To establish the novel prognostic markers for breast cancer, gene expression profile was examined genome-wide.
We used cDNA microarray consisting of 18,432 human genes to compare genome-wide expression profiles of eight primary breast cancers, four from patients who died of breast cancer within 5 years after surgery (5D group) and four who survived disease-free for more than 5 years (5S group).
We identified 21 genes whose expression was greater in tumors from the 5D group than in 5S tumors, and 23 with higher expression in the 5S group than in the 5D group. We established a Prognostic Index (PI) for prediction of postoperative prognosis, based on the aberrant expression profiles of ten of those genes. Among 20 additional cases chosen blindly, ten presented with high prognostic scores (>7, good) according to the PI; the remaining ten cases revealed scores <7 (poor). The PI predicted the actual 5-year clinical outcomes of these 20 cases with 100% accuracy.
Our PI system is reliable in clinical settings for predicting postoperative risk for breast cancer. The extensive list of genes provides valuable information about progression of breast cancer and suggests potential target molecules for treating this disease.</description><subject>Adult</subject><subject>Aged</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - chemistry</subject><subject>Breast Neoplasms - genetics</subject><subject>Breast Neoplasms - mortality</subject><subject>Breast Neoplasms - surgery</subject><subject>Clinical outcomes</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Genetic Markers</subject><subject>Humans</subject><subject>Middle Aged</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Oncology</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>Survival Analysis</subject><subject>Up-Regulation</subject><issn>0171-5216</issn><issn>1432-1335</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkE9LAzEQxYMotlY_gBcJHrxF8z_doxStQsFL70uanZWt7WbNZEW_vRHrxcsMb_jxeG8IuRT8VnDu7pBzrSQrk3HjNHNHZCp-LkIpc0ymXDjBjBR2Qs4Qt7xo4-QpmQgjlam4nZJ6CT1Q-BwSIHaxp4PPGVKP1CPd-_QGibYxUcO-wCc6RMxxgORz9wF0SPG1j9ghjW0RXeG_6CaBx0yD7wMkPCcnrd8hXBz2jKwfH9aLJ7Z6WT4v7ldsENZmpuQ8cCM11yaEjQKwoAW3phJVI2XjHTTBGV_JVrQQWqPn2vmGW2Ub6dtKzcjNr22J9D4C5nrfYYDdzvcQR6ytdU5pKwt4_Q_cxjH1JVotJTfcympeoKsDNG720NSHavXf29Q3pfpv9w</recordid><startdate>200409</startdate><enddate>200409</enddate><creator>Onda, Masamitsu</creator><creator>Emi, Mitsuru</creator><creator>Nagai, Hisaki</creator><creator>Nagahata, Takemitsu</creator><creator>Tsumagari, Kouji</creator><creator>Fujimoto, Takashi</creator><creator>Akiyama, Futoshi</creator><creator>Sakamoto, Goi</creator><creator>Makita, Masujirou</creator><creator>Kasumi, Fujio</creator><creator>Miki, Yoshio</creator><creator>Tanaka, Toshihiro</creator><creator>Tsunoda, Tatsuhiko</creator><creator>Nakamura, Yusuke</creator><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>200409</creationdate><title>Gene expression patterns as marker for 5-year postoperative prognosis of primary breast cancers</title><author>Onda, Masamitsu ; Emi, Mitsuru ; Nagai, Hisaki ; Nagahata, Takemitsu ; Tsumagari, Kouji ; Fujimoto, Takashi ; Akiyama, Futoshi ; Sakamoto, Goi ; Makita, Masujirou ; Kasumi, Fujio ; Miki, Yoshio ; Tanaka, Toshihiro ; Tsunoda, Tatsuhiko ; Nakamura, Yusuke</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p166t-328c0524045ccb3ee6e41065919d22da7edc75a92f1fecf54847ad0636d2af93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biomarkers, Tumor - analysis</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - chemistry</topic><topic>Breast Neoplasms - genetics</topic><topic>Breast Neoplasms - mortality</topic><topic>Breast Neoplasms - surgery</topic><topic>Clinical outcomes</topic><topic>Female</topic><topic>Gene expression</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Genetic Markers</topic><topic>Humans</topic><topic>Middle Aged</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Oncology</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Reverse Transcriptase Polymerase Chain Reaction</topic><topic>Survival Analysis</topic><topic>Up-Regulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Onda, Masamitsu</creatorcontrib><creatorcontrib>Emi, Mitsuru</creatorcontrib><creatorcontrib>Nagai, Hisaki</creatorcontrib><creatorcontrib>Nagahata, Takemitsu</creatorcontrib><creatorcontrib>Tsumagari, Kouji</creatorcontrib><creatorcontrib>Fujimoto, Takashi</creatorcontrib><creatorcontrib>Akiyama, Futoshi</creatorcontrib><creatorcontrib>Sakamoto, Goi</creatorcontrib><creatorcontrib>Makita, Masujirou</creatorcontrib><creatorcontrib>Kasumi, Fujio</creatorcontrib><creatorcontrib>Miki, Yoshio</creatorcontrib><creatorcontrib>Tanaka, Toshihiro</creatorcontrib><creatorcontrib>Tsunoda, Tatsuhiko</creatorcontrib><creatorcontrib>Nakamura, Yusuke</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of cancer research and clinical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Onda, Masamitsu</au><au>Emi, Mitsuru</au><au>Nagai, Hisaki</au><au>Nagahata, Takemitsu</au><au>Tsumagari, Kouji</au><au>Fujimoto, Takashi</au><au>Akiyama, Futoshi</au><au>Sakamoto, Goi</au><au>Makita, Masujirou</au><au>Kasumi, Fujio</au><au>Miki, Yoshio</au><au>Tanaka, Toshihiro</au><au>Tsunoda, Tatsuhiko</au><au>Nakamura, Yusuke</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gene expression patterns as marker for 5-year postoperative prognosis of primary breast cancers</atitle><jtitle>Journal of cancer research and clinical oncology</jtitle><addtitle>J Cancer Res Clin Oncol</addtitle><date>2004-09</date><risdate>2004</risdate><volume>130</volume><issue>9</issue><spage>537</spage><epage>545</epage><pages>537-545</pages><issn>0171-5216</issn><eissn>1432-1335</eissn><abstract>To establish the novel prognostic markers for breast cancer, gene expression profile was examined genome-wide.
We used cDNA microarray consisting of 18,432 human genes to compare genome-wide expression profiles of eight primary breast cancers, four from patients who died of breast cancer within 5 years after surgery (5D group) and four who survived disease-free for more than 5 years (5S group).
We identified 21 genes whose expression was greater in tumors from the 5D group than in 5S tumors, and 23 with higher expression in the 5S group than in the 5D group. We established a Prognostic Index (PI) for prediction of postoperative prognosis, based on the aberrant expression profiles of ten of those genes. Among 20 additional cases chosen blindly, ten presented with high prognostic scores (>7, good) according to the PI; the remaining ten cases revealed scores <7 (poor). The PI predicted the actual 5-year clinical outcomes of these 20 cases with 100% accuracy.
Our PI system is reliable in clinical settings for predicting postoperative risk for breast cancer. The extensive list of genes provides valuable information about progression of breast cancer and suggests potential target molecules for treating this disease.</abstract><cop>Germany</cop><pub>Springer Nature B.V</pub><pmid>15235906</pmid><doi>10.1007/s00432-004-0574-7</doi><tpages>9</tpages></addata></record> |
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| subjects | Adult Aged Biomarkers, Tumor - analysis Breast cancer Breast Neoplasms - chemistry Breast Neoplasms - genetics Breast Neoplasms - mortality Breast Neoplasms - surgery Clinical outcomes Female Gene expression Gene Expression Regulation, Neoplastic Genetic Markers Humans Middle Aged Oligonucleotide Array Sequence Analysis Oncology Predictive Value of Tests Prognosis Reverse Transcriptase Polymerase Chain Reaction Survival Analysis Up-Regulation |
| title | Gene expression patterns as marker for 5-year postoperative prognosis of primary breast cancers |
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