Early detection of breast cancer based on gene-expression patterns in peripheral blood cells
Existing methods to detect breast cancer in asymptomatic patients have limitations, and there is a need to develop more accurate and convenient methods. In this study, we investigated whether early detection of breast cancer is possible by analyzing gene-expression patterns in peripheral blood cells...
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| Veröffentlicht in: | Breast cancer research : BCR 2005-01, Vol.7 (5), p.R634-R644, Article R634 |
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| container_title | Breast cancer research : BCR |
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| creator | Sharma, Praveen Sahni, Narinder S Tibshirani, Robert Skaane, Per Urdal, Petter Berghagen, Hege Jensen, Marianne Kristiansen, Lena Moen, Cecilie Sharma, Pradeep Zaka, Alia Arnes, Jarle Sauer, Torill Akslen, Lars A Schlichting, Ellen Børresen-Dale, Anne-Lise Lönneborg, Anders |
| description | Existing methods to detect breast cancer in asymptomatic patients have limitations, and there is a need to develop more accurate and convenient methods. In this study, we investigated whether early detection of breast cancer is possible by analyzing gene-expression patterns in peripheral blood cells.
Using macroarrays and nearest-shrunken-centroid method, we analyzed the expression pattern of 1,368 genes in peripheral blood cells of 24 women with breast cancer and 32 women with no signs of this disease. The results were validated using a standard leave-one-out cross-validation approach.
We identified a set of 37 genes that correctly predicted the diagnostic class in at least 82% of the samples. The majority of these genes had a decreased expression in samples from breast cancer patients, and predominantly encoded proteins implicated in ribosome production and translation control. In contrast, the expression of some defense-related genes was increased in samples from breast cancer patients.
The results show that a blood-based gene-expression test can be developed to detect breast cancer early in asymptomatic patients. Additional studies with a large sample size, from women both with and without the disease, are warranted to confirm or refute this finding. |
| doi_str_mv | 10.1186/bcr1203 |
| format | Article |
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Using macroarrays and nearest-shrunken-centroid method, we analyzed the expression pattern of 1,368 genes in peripheral blood cells of 24 women with breast cancer and 32 women with no signs of this disease. The results were validated using a standard leave-one-out cross-validation approach.
We identified a set of 37 genes that correctly predicted the diagnostic class in at least 82% of the samples. The majority of these genes had a decreased expression in samples from breast cancer patients, and predominantly encoded proteins implicated in ribosome production and translation control. In contrast, the expression of some defense-related genes was increased in samples from breast cancer patients.
The results show that a blood-based gene-expression test can be developed to detect breast cancer early in asymptomatic patients. Additional studies with a large sample size, from women both with and without the disease, are warranted to confirm or refute this finding.</description><identifier>ISSN: 1465-542X</identifier><identifier>ISSN: 1465-5411</identifier><identifier>EISSN: 1465-542X</identifier><identifier>DOI: 10.1186/bcr1203</identifier><identifier>PMID: 16168108</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Analysis of Variance ; Blood cells ; Blood Cells - pathology ; Breast cancer ; Breast Neoplasms - blood ; Breast Neoplasms - genetics ; Breast Neoplasms - pathology ; Diagnosis ; DNA microarrays ; DNA, Complementary - genetics ; DNA, Neoplasm - genetics ; False Negative Reactions ; False Positive Reactions ; Female ; Gene expression ; Gene Expression Regulation, Neoplastic ; Genetic aspects ; Humans ; Nucleic Acid Hybridization ; Oligonucleotide Array Sequence Analysis ; Reference Values ; Reproducibility of Results</subject><ispartof>Breast cancer research : BCR, 2005-01, Vol.7 (5), p.R634-R644, Article R634</ispartof><rights>COPYRIGHT 2005 BioMed Central Ltd.</rights><rights>info:eu-repo/semantics/openAccess</rights><rights>Copyright © 2005 Sharma et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b575t-bb535dc7138d26bfedba561cafd405940aa2cb71fe39c97cecf58c4915e471963</citedby><cites>FETCH-LOGICAL-b575t-bb535dc7138d26bfedba561cafd405940aa2cb71fe39c97cecf58c4915e471963</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/PMC1242124/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1242124/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,26548,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16168108$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sharma, Praveen</creatorcontrib><creatorcontrib>Sahni, Narinder S</creatorcontrib><creatorcontrib>Tibshirani, Robert</creatorcontrib><creatorcontrib>Skaane, Per</creatorcontrib><creatorcontrib>Urdal, Petter</creatorcontrib><creatorcontrib>Berghagen, Hege</creatorcontrib><creatorcontrib>Jensen, Marianne</creatorcontrib><creatorcontrib>Kristiansen, Lena</creatorcontrib><creatorcontrib>Moen, Cecilie</creatorcontrib><creatorcontrib>Sharma, Pradeep</creatorcontrib><creatorcontrib>Zaka, Alia</creatorcontrib><creatorcontrib>Arnes, Jarle</creatorcontrib><creatorcontrib>Sauer, Torill</creatorcontrib><creatorcontrib>Akslen, Lars A</creatorcontrib><creatorcontrib>Schlichting, Ellen</creatorcontrib><creatorcontrib>Børresen-Dale, Anne-Lise</creatorcontrib><creatorcontrib>Lönneborg, Anders</creatorcontrib><title>Early detection of breast cancer based on gene-expression patterns in peripheral blood cells</title><title>Breast cancer research : BCR</title><addtitle>Breast Cancer Res</addtitle><description>Existing methods to detect breast cancer in asymptomatic patients have limitations, and there is a need to develop more accurate and convenient methods. In this study, we investigated whether early detection of breast cancer is possible by analyzing gene-expression patterns in peripheral blood cells.
Using macroarrays and nearest-shrunken-centroid method, we analyzed the expression pattern of 1,368 genes in peripheral blood cells of 24 women with breast cancer and 32 women with no signs of this disease. The results were validated using a standard leave-one-out cross-validation approach.
We identified a set of 37 genes that correctly predicted the diagnostic class in at least 82% of the samples. The majority of these genes had a decreased expression in samples from breast cancer patients, and predominantly encoded proteins implicated in ribosome production and translation control. In contrast, the expression of some defense-related genes was increased in samples from breast cancer patients.
The results show that a blood-based gene-expression test can be developed to detect breast cancer early in asymptomatic patients. Additional studies with a large sample size, from women both with and without the disease, are warranted to confirm or refute this finding.</description><subject>Analysis of Variance</subject><subject>Blood cells</subject><subject>Blood Cells - pathology</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - blood</subject><subject>Breast Neoplasms - genetics</subject><subject>Breast Neoplasms - pathology</subject><subject>Diagnosis</subject><subject>DNA microarrays</subject><subject>DNA, Complementary - genetics</subject><subject>DNA, Neoplasm - genetics</subject><subject>False Negative Reactions</subject><subject>False Positive Reactions</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Genetic aspects</subject><subject>Humans</subject><subject>Nucleic Acid Hybridization</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Reference Values</subject><subject>Reproducibility of Results</subject><issn>1465-542X</issn><issn>1465-5411</issn><issn>1465-542X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>3HK</sourceid><recordid>eNp1kl1rFDEUhgex2FrFf6ABQa-mJpOPmemFUErVQqE3Cl4IIR8n28hMMiZZsf_eLLvqLlhCyCHnOW_enKRpXhB8Rsgg3mmTSIfpo-aEMMFbzrqvj_fi4-Zpzt8xJv3AhyfNMRFEDAQPJ823K5Wme2ShgCk-BhQd0glULsioYCAhrTJYVDMrCNDCryVBzhtyUaVAChn5GkPyyx0kNSE9xWiRgWnKz5ojp6YMz3frafPlw9Xny0_tze3H68uLm1bznpdWa065NT2hg-2EdmC14oIY5SzDfGRYqc7onjigoxl7A8bxwbCRcGA9GQU9bd5vdZe1nsEaCKU6kUvys0r3MiovDzPB38lV_ClJx7o6q8CrrYBJPhcfZIhJydog3kkm2IArcb4ltI8PHHGYMXGWu1epxW92_lL8sYZc5OzzpkMqQFxnKQY-Uoq7Cr7egis1gfTBxaplNrC8qC4EHjEdK3X2H6oOC7M3MYDzdf-g4O2f68WcE7i_vgmWm_-z5_Tlfif_cbsPQ38DwA_CBA</recordid><startdate>20050101</startdate><enddate>20050101</enddate><creator>Sharma, Praveen</creator><creator>Sahni, Narinder S</creator><creator>Tibshirani, Robert</creator><creator>Skaane, Per</creator><creator>Urdal, Petter</creator><creator>Berghagen, Hege</creator><creator>Jensen, Marianne</creator><creator>Kristiansen, Lena</creator><creator>Moen, Cecilie</creator><creator>Sharma, Pradeep</creator><creator>Zaka, Alia</creator><creator>Arnes, Jarle</creator><creator>Sauer, Torill</creator><creator>Akslen, Lars A</creator><creator>Schlichting, Ellen</creator><creator>Børresen-Dale, Anne-Lise</creator><creator>Lönneborg, Anders</creator><general>BioMed Central Ltd</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>7X8</scope><scope>3HK</scope><scope>5PM</scope></search><sort><creationdate>20050101</creationdate><title>Early detection of breast cancer based on gene-expression patterns in peripheral blood cells</title><author>Sharma, Praveen ; 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In this study, we investigated whether early detection of breast cancer is possible by analyzing gene-expression patterns in peripheral blood cells.
Using macroarrays and nearest-shrunken-centroid method, we analyzed the expression pattern of 1,368 genes in peripheral blood cells of 24 women with breast cancer and 32 women with no signs of this disease. The results were validated using a standard leave-one-out cross-validation approach.
We identified a set of 37 genes that correctly predicted the diagnostic class in at least 82% of the samples. The majority of these genes had a decreased expression in samples from breast cancer patients, and predominantly encoded proteins implicated in ribosome production and translation control. In contrast, the expression of some defense-related genes was increased in samples from breast cancer patients.
The results show that a blood-based gene-expression test can be developed to detect breast cancer early in asymptomatic patients. Additional studies with a large sample size, from women both with and without the disease, are warranted to confirm or refute this finding.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>16168108</pmid><doi>10.1186/bcr1203</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Analysis of Variance Blood cells Blood Cells - pathology Breast cancer Breast Neoplasms - blood Breast Neoplasms - genetics Breast Neoplasms - pathology Diagnosis DNA microarrays DNA, Complementary - genetics DNA, Neoplasm - genetics False Negative Reactions False Positive Reactions Female Gene expression Gene Expression Regulation, Neoplastic Genetic aspects Humans Nucleic Acid Hybridization Oligonucleotide Array Sequence Analysis Reference Values Reproducibility of Results |
| title | Early detection of breast cancer based on gene-expression patterns in peripheral blood cells |
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