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Sökning: onr:"swepub:oai:DiVA.org:oru-41452" > Molecular sampling ...

  • Sboner, AndreaDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven CT, USA,Yale University (författare)

Molecular sampling of prostate cancer : a dilemma for predicting disease progression

  • Artikel/kapitelEngelska2010

Förlag, utgivningsår, omfång ...

  • London, United Kingdom :BioMed Central,2010
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:oru-41452
  • urn:nbn:se:oru:diva-41452urn
  • https://doi.org/10.1186/1755-8794-3-8DOI
  • urn:nbn:se:liu:diva-56306urn
  • http://kipublications.ki.se/Default.aspx?queryparsed=id:120331073URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

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  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Original Publication: Andrea Sboner, Francesca Demichelis, Stefano Calza, Yudi Pawitan, Sunita R Setlur, Yujin Hoshida, Sven Perner, Hans-Olov Adami, Katja Fall, Lorelei A Mucci, Philip W Kantoff, Meir Stampfer, Swen-Olof Andersson, Eberhard Varenhorst, Jan-Erik Johansson, Mark B Gerstein, Todd R Golub, Mark A Rubin and Ove Andren, Molecular sampling of prostate cancer: a dilemma for predicting disease progression, 2010, BMC MEDICAL GENOMICS, (3), 8. http://dx.doi.org/10.1186/1755-8794-3-8 Copyright: BioMed Central http://www.biomedcentral.com/
  • gratis
  • Background: Current prostate cancer prognostic models are based on pre-treatment prostate specific antigen (PSA) levels, biopsy Gleason score, and clinical staging but in practice are inadequate to accurately predict disease progression. Hence, we sought to develop a molecular panel for prostate cancer progression by reasoning that molecular profiles might further improve current clinical models.Methods: We analyzed a Swedish Watchful Waiting cohort with up to 30 years of clinical follow up using a novel method for gene expression profiling. This cDNA-mediated annealing, selection, ligation, and extension (DASL) method enabled the use of formalin-fixed paraffin-embedded transurethral resection of prostate (TURP) samples taken at the time of the initial diagnosis. We determined the expression profiles of 6100 genes for 281 men divided in two extreme groups: men who died of prostate cancer and men who survived more than 10 years without metastases (lethals and indolents, respectively). Several statistical and machine learning models using clinical and molecular features were evaluated for their ability to distinguish lethal from indolent cases.Results: Surprisingly, none of the predictive models using molecular profiles significantly improved over models using clinical variables only. Additional computational analysis confirmed that molecular heterogeneity within both the lethal and indolent classes is widespread in prostate cancer as compared to other types of tumors.Conclusions: The determination of the molecularly dominant tumor nodule may be limited by sampling at time of initial diagnosis, may not be present at time of initial diagnosis, or may occur as the disease progresses making the development of molecular biomarkers for prostate cancer progression challenging.

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Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Demichelis, FrancescaDepartment of Pathology and LaboratoryMedicine, Weill Cornell Medical Center, New York, USA; Institute for Computational Biomedicine, Weill Cornell Medical Center, New York, USA,Weill Cornell Medical Centre (författare)
  • Calza, StefanoDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden; Department of Biomedical Sciences and Biotechnologies, University of Brescia, Brescia, Italy,Karolinska Institute (författare)
  • Pawitan, YudiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden,Karolinska Institute (författare)
  • Setlur, Sunita R.Department of Pathology, Brigham and Women's Hospital, Boston MA, USA (författare)
  • Hoshida, YujinThe Broad Institute of MIT and Harvard, Cambridge MA, USA; The Dana Farber Cancer Institute, Boston MA, USA,Dana Farber Cancer Institute (författare)
  • Perner, SvenDepartment of Pathology and LaboratoryMedicine, Weill Cornell Medical Center, New York, USA,Weill Cornell Medical Centre (författare)
  • Adami, Hans-OlovDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden; Department of Epidemiology, Harvard School of Public Health, Boston, USA,Karolinska Institute (författare)
  • Fall, Katja,1971-Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden; Department of Epidemiology, Harvard School of Public Health, Boston, USA,Karolinska Institute(Swepub:oru)kafl (författare)
  • Mucci, Lorelei A.Harvard Medical School, Boston MA, USA; Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, Boston MA, USA; Department of Epidemiology, Harvard School of Public Health, Boston MA, USA (författare)
  • Kantoff, Philip W.Harvard Medical School, Boston MA, USA; The Dana Farber Cancer Institute, Boston MA, USA (författare)
  • Stampfer, MeirHarvard Medical School, Boston MA, USA; Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, Boston MA, USA; Department of Epidemiology, Harvard School of Public Health, Boston MA, USA,Harvard University (författare)
  • Andersson, Swen-Olof,1949-Department of Urology, Örebro University Hospital, Örebro, Sweden,Örebro University Hospital(Swepub:oru)sfan (författare)
  • Varenhorst, EberhardÖstergötlands Läns Landsting,Linköpings universitet,Urologi,Hälsouniversitetet,Urologiska kliniken i Östergötland (författare)
  • Johansson, Jan-ErikDepartment of Urology, Örebro University Hospital, Örebro, Sweden,Örebro University Hospital(Swepub:oru)jkjn (författare)
  • Gerstein, Mark B.Department of Molecular Biophysics and Biochemistry, Yale University, New Haven CT, USA; Program in Computational Biology and Bioinformatics, Yale University, New Haven CT, USA; Department of Computer Science, Yale University, New Haven CT, USA (författare)
  • Golub, Todd R.The Howard Hughes Medical Institute at The Broad Institute of MIT and Harvard, Cambridge MA, USA; The Broad Institute of MIT and Harvard, Cambridge MA, USA; The Dana Farber Cancer Institute, Boston MA, USA (författare)
  • Rubin, Mark A.Medicine, Weill Cornell Medical Center, New York, USA; The Broad Institute of MIT and Harvard, Cambridge MA, USA (författare)
  • Andrén, Ove,1963-Department of Urology, Örebro University Hospital, Örebro, Sweden(Swepub:oru)oan (författare)
  • Andren, OveÖrebro University Hospital (författare)
  • Golub, Todd RDana Farber Cancer Institute (författare)
  • Setlur, Sunita RBrigham and Womens Hospital (författare)
  • Kantoff, Philip WDana Farber Cancer Institute (författare)
  • Rubin, Mark AWeill Cornell Medical Centre (författare)
  • A Mucci, LoreleiHarvard University (författare)
  • Gerstein, Mark BYale University (författare)
  • Calza, SKarolinska Institutet (författare)
  • Setlur, SR (författare)
  • Gerstein, MB (författare)
  • Andersson, SO (författare)
  • Sboner, A (författare)
  • Johansson, JE (författare)
  • Rubin, MA (författare)
  • Andren, O (författare)
  • Varenhorst, E (författare)
  • Perner, S (författare)
  • Adami, HOKarolinska Institutet (författare)
  • Fall, KKarolinska Institutet (författare)
  • Kantoff, PW (författare)
  • Golub, TR (författare)
  • Hoshida, Y (författare)
  • Pawitan, YKarolinska Institutet (författare)
  • Demichelis, F (författare)
  • Stampfer, M (författare)
  • Mucci, LA (författare)
  • Department of Molecular Biophysics and Biochemistry, Yale University, New Haven CT, USAYale University (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:BMC Medical GenomicsLondon, United Kingdom : BioMed Central31755-87941755-8794

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