48 research outputs found

    Protein expression based multimarker analysis of breast cancer samples

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Tissue microarray (TMA) data are commonly used to validate the prognostic accuracy of tumor markers. For example, breast cancer TMA data have led to the identification of several promising prognostic markers of survival time. Several studies have shown that TMA data can also be used to cluster patients into clinically distinct groups. Here we use breast cancer TMA data to cluster patients into distinct prognostic groups.</p> <p>Methods</p> <p>We apply weighted correlation network analysis (WGCNA) to TMA data consisting of 26 putative tumor biomarkers measured on 82 breast cancer patients. Based on this analysis we identify three groups of patients with low (5.4%), moderate (22%) and high (50%) mortality rates, respectively. We then develop a simple threshold rule using a subset of three markers (p53, Na-KATPase-β1, and TGF β receptor II) that can approximately define these mortality groups. We compare the results of this correlation network analysis with results from a standard Cox regression analysis.</p> <p>Results</p> <p>We find that the rule-based grouping variable (referred to as WGCNA*) is an independent predictor of survival time. While WGCNA* is based on protein measurements (TMA data), it validated in two independent Affymetrix microarray gene expression data (which measure mRNA abundance). We find that the WGCNA patient groups differed by 35% from mortality groups defined by a more conventional stepwise Cox regression analysis approach.</p> <p>Conclusions</p> <p>We show that correlation network methods, which are primarily used to analyze the relationships between gene products, are also useful for analyzing the relationships between patients and for defining distinct patient groups based on TMA data. We identify a rule based on three tumor markers for predicting breast cancer survival outcomes.</p

    Differential expression of anterior gradient gene AGR2 in prostate cancer

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>The protein AGR2 is a putative member of the protein disulfide isomerase family and was first identified as a homolog of the <it>Xenopus laevis </it>gene XAG-2. AGR2 has been implicated in a number of human cancers. In particular, AGR2 has previously been found to be one of several genes that encode secreted proteins showing increased expression in prostate cancer cells compared to normal prostatic epithelium.</p> <p>Methods</p> <p>Gene expression levels of AGR2 were examined in prostate cancer cells by microarray analysis. We further examined the relationship of AGR2 protein expression to histopathology and prostate cancer outcome on a population basis using tissue microarray technology.</p> <p>Results</p> <p>At the RNA and protein level, there was an increase in AGR2 expression in adenocarcinoma of the prostate compared to morphologically normal prostatic glandular epithelium. Using a tissue microarray, this enhanced AGR2 expression was seen as early as premalignant PIN lesions. Interestingly, within adenocarcinoma samples, there was a slight trend toward lower levels of AGR2 with increasing Gleason score. Consistent with this, relatively lower levels of AGR2 were highly predictive of disease recurrence in patients who had originally presented with high-stage primary prostate cancer (P = 0.009).</p> <p>Conclusions</p> <p>We have shown for the first time that despite an increase in AGR2 expression in prostate cancer compared to non-malignant cells, relatively lower levels of AGR2 are highly predictive of disease recurrence following radical prostatectomy.</p

    Untangling knowledge creation and knowledge integration in enterprise wikis

    Get PDF
    A central challenge organizations face is how to build, store, and maintain knowledge over time. Enterprise wikis are community-based knowledge systems situated in an organizational context. These systems have the potential to play an important role in managing knowledge within organizations, but the motivating factors that drive individuals to contribute their knowledge to these systems is not very well understood. We theorize that enterprise wiki initiatives require two separate and distinct types of knowledge-sharing behaviors to succeed: knowledge creation (KC) and knowledge integration (KI). We examine a Wiki initiative at a major German bank to untangle the motivating factors behind KC and KI. Our results suggest KC and KI are indeed two distinct behaviors, reconcile inconsistent findings from past studies on the role of motivational factors for knowledge sharing to establish shared electronic knowledge resources in organizations, and identify factors that can be leveraged to tilt behaviors in favor of KC or KI

    Barriers and facilitators to Hepatitis C (HCV) Screening and Treatment – A Prisoners’ Perspective

    Get PDF
    Background: Hepatitis C Virus (HCV) infection is a global epidemic with an estimated 71 million people infected worldwide. People who inject drugs (PWID) are over represented in prison populations globally and have higher levels of HCV infection than the general population. Despite increased access to primary health care while in prison, many HCV infected prisoners do not engage with screening or treatment. With recent advances in treatment regimes, HCV in now a curable and preventable disease and prisons provide an ideal opportunity to engage this hard to reach population. Aim: To identify barriers and enablers to HCV screening and treatment in prisons Methods: A qualitative study of four prisoner focus groups (n=46) conducted at two prison settings in Dublin, Ireland. Results: The following barriers to HCV screening and treatment were identified, lack of knowledge, concerns regarding confidentiality and stigma experienced and inconsistent and delayed access to prison health services. Enablers identified included; access to health care, opt-out screening at committal, peer support, and stability of prison life which removed many of the competing priorities associated with life on the outside. Unique blocks and enablers to HCV treatment reported were, fear of treatment and having a liver biopsy, the requirement to go to hospital and in-reach hepatology services and fibroscaning. Conclusion; The many barriers and enablers to HCV screening and treatment reported by Irish prisoners will inform both national and international public health HCV elimination strategies. Incarceration provides a unique opportunity to upscale HCV treatment and linkage to the community would support effectiveness
    corecore