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  • 1. Knoppers, Bartha Maria
    et al.
    Avard, Denise
    Howard, Heidi Carmen
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Centre for Research Ethics and Bioethics.
    Direct-to-consumer genetic testing: driving choice?2010In: Expert Review of Molecular Diagnostics, ISSN 1473-7159, E-ISSN 1744-8352, Vol. 10, no 8, p. 965-8Article in journal (Refereed)
  • 2.
    Lindskog, Cecilia
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Edlund, Karolina
    Mattsson, Johanna Sofia Margareta
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular and Morphological Pathology.
    Micke, Patrick
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular and Morphological Pathology.
    Immunohistochemistry-based prognostic biomarkers in NSCLC: novel findings on the road to clinical use?2015In: Expert Review of Molecular Diagnostics, ISSN 1473-7159, E-ISSN 1744-8352, Vol. 15, no 4, p. 471-490Article, review/survey (Refereed)
    Abstract [en]

    Prognostication of non-small cell lung cancer is principally based on stage, age and performance status. This review provides an overview of 342 potential prognostic biomarkers in non-small cell lung cancer described between January 2008 and June 2013, evaluating the association between immunohistochemical protein expression and survival endpoint. Numerous studies proposed prognostic biomarkers, but many were only evaluated in a single patient cohort, and a large number of biomarkers revealed inconclusive findings when analyzed in more than one study. Only 26 proteins first described after 2008 (ALDH1A1, ANXA1, BCAR1, CLDN1, EIF4E, EZH2, FOLR1, FOXM1, IL7R, IL12RB2, KIAA1524, CRMP1, LOX, MCM7, MTA1, MTDH, NCOA3, NDRG2, NEDD9, NES, PBK, PPM1D, SIRT1, SLC7A5, SQSTM1 and WNT1) demonstrated a consistent prognostic association in two or more independent patient cohorts, thus qualifying as promising candidates for diagnostic use. Raised quality standards for study design and antibody validation, and integration of preclinical findings with clinical needs are clearly warranted.

  • 3. Rögnvaldsson, Thorsteinn
    et al.
    You, Liwen
    Garwicz, Daniel
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Bioinformatic approaches for modeling the substrate specificity of HIV-1 protease: an overview2007In: Expert Review of Molecular Diagnostics, ISSN 1473-7159, E-ISSN 1744-8352, Vol. 7, no 4, p. 435-451Article in journal (Refereed)
    Abstract [en]

    HIV-1 protease has a broad and complex substrate specificity, which hitherto has escaped a simple comprehensive definition. This, and the relatively high mutation rate of the retroviral protease, makes it challenging to design effective protease inhibitors. Several attempts have been made during the last two decades to elucidate the enigmatic cleavage specificity of HIV-1 protease and to predict cleavage of novel substrates using bioinformatic analysis methods. This review describes the methods that have been utilized to date to address this important problem and the results achieved. The data sets used are also reviewed and important aspects of these are highlighted.

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