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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
47
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pubmed:dateCreated |
2008-11-26
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pubmed:abstractText |
Individualization of cancer management requires prognostic markers and therapy-predictive markers. Prognostic markers assess risk of disease progression independent of therapy, whereas therapy-predictive markers identify patients whose disease is sensitive or resistant to treatment. We show that an experimentally derived IFN-related DNA damage resistance signature (IRDS) is associated with resistance to chemotherapy and/or radiation across different cancer cell lines. The IRDS genes STAT1, ISG15, and IFIT1 all mediate experimental resistance. Clinical analyses reveal that IRDS(+) and IRDS(-) states exist among common human cancers. In breast cancer, a seven-gene-pair classifier predicts for efficacy of adjuvant chemotherapy and for local-regional control after radiation. By providing information on treatment sensitivity or resistance, the IRDS improves outcome prediction when combined with standard markers, risk groups, or other genomic classifiers.
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pubmed:grant |
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-12490681,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-12885778,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-14755057,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-15837986,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-15894097,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-16009940,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-16103067,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-16105897,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-16148022,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-16205748,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-16360786,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-17440099,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-17585334,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-17909027,
http://linkedlifedata.com/resource/pubmed/commentcorrection/19001271-7477145
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Nov
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pubmed:issn |
1091-6490
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pubmed:author |
pubmed-author:BakerSamuel WSW,
pubmed-author:BerghJonasJ,
pubmed-author:IshwaranHemantH,
pubmed-author:KhodarevNikolaiN,
pubmed-author:KreikeBasB,
pubmed-author:MinnAndy JAJ,
pubmed-author:NuytenDimitry S ADS,
pubmed-author:PawitanYudiY,
pubmed-author:RoachPaulP,
pubmed-author:RoizmanBernardB,
pubmed-author:ShaikhArif YAY,
pubmed-author:SuAndy WAW,
pubmed-author:WeichselbaumRalph RRR,
pubmed-author:YoonTaewonT,
pubmed-author:van de VijverMarc JMJ
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pubmed:issnType |
Electronic
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pubmed:day |
25
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pubmed:volume |
105
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
18490-5
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:19001271-Animals,
pubmed-meshheading:19001271-Antineoplastic Agents,
pubmed-meshheading:19001271-Biological Markers,
pubmed-meshheading:19001271-Breast Neoplasms,
pubmed-meshheading:19001271-Cell Line, Tumor,
pubmed-meshheading:19001271-Chemotherapy, Adjuvant,
pubmed-meshheading:19001271-DNA Damage,
pubmed-meshheading:19001271-Humans,
pubmed-meshheading:19001271-Interferons,
pubmed-meshheading:19001271-Mice,
pubmed-meshheading:19001271-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:19001271-Prognosis
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pubmed:year |
2008
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pubmed:articleTitle |
An interferon-related gene signature for DNA damage resistance is a predictive marker for chemotherapy and radiation for breast cancer.
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pubmed:affiliation |
Department of Radiation and Cellular Oncology, Ludwig Center for Metastasis Research, Marjorie B. Kovler Viral Oncology Laboratories, University of Chicago, Chicago, IL 60637, USA.
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural,
Validation Studies
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