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Gene expression pro...
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Pawitan, YudiKarolinska Institutet
(author)
Gene expression profiling spares early breast cancer patients from adjuvant therapy : derived and validated in two population-based cohorts
- Article/chapterEnglish2005
Publisher, publication year, extent ...
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2005-10-03
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Springer Science and Business Media LLC,2005
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:uu-76645
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-76645URI
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https://doi.org/10.1186/bcr1325DOI
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http://kipublications.ki.se/Default.aspx?queryparsed=id:1937140URI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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INTRODUCTION: Adjuvant breast cancer therapy significantly improves survival, but overtreatment and undertreatment are major problems. Breast cancer expression profiling has so far mainly been used to identify women with a poor prognosis as candidates for adjuvant therapy but without demonstrated value for therapy prediction. METHODS: We obtained the gene expression profiles of 159 population-derived breast cancer patients, and used hierarchical clustering to identify the signature associated with prognosis and impact of adjuvant therapies, defined as distant metastasis or death within 5 years. Independent datasets of 76 treated population-derived Swedish patients, 135 untreated population-derived Swedish patients and 78 Dutch patients were used for validation. The inclusion and exclusion criteria for the studies of population-derived Swedish patients were defined. RESULTS: Among the 159 patients, a subset of 64 genes was found to give an optimal separation of patients with good and poor outcomes. Hierarchical clustering revealed three subgroups: patients who did well with therapy, patients who did well without therapy, and patients that failed to benefit from given therapy. The expression profile gave significantly better prognostication (odds ratio, 4.19; P = 0.007) (breast cancer end-points odds ratio, 10.64) compared with the Elston-Ellis histological grading (odds ratio of grade 2 vs 1 and grade 3 vs 1, 2.81 and 3.32 respectively; P = 0.24 and 0.16), tumor stage (odds ratio of stage 2 vs 1 and stage 3 vs 1, 1.11 and 1.28; P = 0.83 and 0.68) and age (odds ratio, 0.11; P = 0.55). The risk groups were consistent and validated in the independent Swedish and Dutch data sets used with 211 and 78 patients, respectively. CONCLUSION: We have identified discriminatory gene expression signatures working both on untreated and systematically treated primary breast cancer patients with the potential to spare them from adjuvant therapy.
Subject headings and genre
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Adult
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Aged
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Breast Neoplasms/*drug therapy/*genetics/surgery
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Chemotherapy; Adjuvant
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Cohort Studies
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Female
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Gene Expression Profiling
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Genes; Neoplasm
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Humans
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Middle Aged
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Neoplasm Metastasis
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Netherlands
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Odds Ratio
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Prognosis
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Research Support; Non-U.S. Gov't
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Survival Analysis
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Sweden
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Treatment Outcome
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MEDICINE
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MEDICIN
Added entries (persons, corporate bodies, meetings, titles ...)
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Bjöhle, JudithKarolinska Institutet
(author)
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Amler, Lukas
(author)
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Borg, Anna-Lena
(author)
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Egyhazi, SuzanneKarolinska Institutet
(author)
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Hall, PerKarolinska Institutet
(author)
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Han, Xia
(author)
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Holmberg, LarsUppsala universitet,Institutionen för kirurgiska vetenskaper,Endokrinkirurgi,Gastrointestinal Surgery(Swepub:uu)larsholmb
(author)
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Huang, Fei
(author)
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Klaar, Sigrid
(author)
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Liu, Edison T.
(author)
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Miller, Lance
(author)
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Nordgren, HansUppsala universitet,Institutionen för genetik och patologi(Swepub:uu)hansnordg
(author)
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Ploner, AlexanderKarolinska Institutet
(author)
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Sandelin, KerstinKarolinska Institutet
(author)
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Shaw, Peter M.
(author)
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Smeds, JohannaKarolinska Institutet
(author)
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Skoog, LambertKarolinska Institutet
(author)
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Wedrén, SaraKarolinska Institutet
(author)
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Bergh, JonasKarolinska Institutet
(author)
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Karolinska InstitutetInstitutionen för kirurgiska vetenskaper
(creator_code:org_t)
Related titles
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In:Breast cancer research : BCR: Springer Science and Business Media LLC7:6, s. R953-641465-54111465-542X
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- By the author/editor
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Pawitan, Yudi
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Bjöhle, Judith
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Amler, Lukas
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Borg, Anna-Lena
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Egyhazi, Suzanne
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Hall, Per
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show more...
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Han, Xia
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Holmberg, Lars
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Huang, Fei
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Klaar, Sigrid
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Liu, Edison T.
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Miller, Lance
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Nordgren, Hans
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Ploner, Alexande ...
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Sandelin, Kersti ...
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Shaw, Peter M.
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Smeds, Johanna
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Skoog, Lambert
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Wedrén, Sara
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Bergh, Jonas
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Breast cancer re ...
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Uppsala University
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Karolinska Institutet