Center for Personalized Cancer Medicine

Innsbruck, Austria

Center for Personalized Cancer Medicine

Innsbruck, Austria
SEARCH FILTERS
Time filter
Source Type

Loeb S.,New York University | Zhou Q.,New York University | Siebert U.,UMIT University for Health Sciences, Medical Informatics and Technology | Siebert U.,Center for Personalized Cancer Medicine | And 7 more authors.
European Urology | Year: 2017

Background: An increasing proportion of prostate cancer is being managed conservatively. However, there are no randomized trials or consensus regarding the optimal follow-up strategy. Objective: To compare life expectancy and quality of life between watchful waiting (WW) versus different strategies of active surveillance (AS). Design, setting, and participants: A Markov model was created for US men starting at age 50, diagnosed with localized prostate cancer who chose conservative management by WW or AS using different testing protocols (prostate-specific antigen every 3-6 mo, biopsy every 1-5 yr, or magnetic resonance imaging based). Transition probabilities and utilities were obtained from the literature. Outcome measurements and statistical analysis: Primary outcomes were life years and quality-adjusted life years (QALYs). Secondary outcomes include radical treatment, metastasis, and prostate cancer death. Results and limitations: All AS strategies yielded more life years compared with WW. Lifetime risks of prostate cancer death and metastasis were, respectively, 5.42% and 6.40% with AS versus 8.72% and 10.30% with WW. AS yielded more QALYs than WW except in cohorts age >65 yr at diagnosis, or when treatment-related complications were long term. The preferred follow-up strategy was also sensitive to whether people value short-term over long-term benefits (time preference). Depending on the AS protocol, 30-41% underwent radical treatment within 10 yr. Extending the surveillance biopsy interval from 1 to 5 yr reduced life years slightly, with a 0.26 difference in QALYs. Conclusions: AS extends life more than WW, particularly for men with higher-risk features, but this is partly offset by the decrement in quality of life since many men eventually receive treatment. Patient summary: More intensive active surveillance protocols extend life more than watchful waiting, but this is partly offset by decrements in quality of life from subsequent treatment. Active surveillance extends life more than watchful waiting, particularly for men with higher-risk features, but this is partly offset by decrements in quality of life from delayed treatment. Trade-offs about the intensity of surveillance should be discussed with patients. © 2017 European Association of Urology.


Di Paolo A.,University of Pisa | Sarkozy F.,FSNB Health and Care | Ryll B.,Uppsala University | Siebert U.,UMIT University for Health Sciences, Medical Informatics and Technology | Siebert U.,Center for Personalized Cancer Medicine
BMC Health Services Research | Year: 2017

Background: Personalized medicine has the potential to allow patients to receive drugs specific to their individual disease, and to increase the efficiency of the healthcare system. There is currently no comprehensive overview of personalized medicine, and this research aims to provide an overview of the concept and definition of personalized medicine in nine European countries. Methods: A targeted literature review of selected health databases and grey literature was conducted to collate information regarding the definition, process, use, funding, impact and challenges associated with personalized medicine. In-depth qualitative interviews were carried out with experts with health technology assessment, clinical provisioning, payer, academic, economic and industry experience, and with patient organizations. Results: We identified a wide range of definitions of personalized medicine, with most studies referring to the use of diagnostics and individual biological information such as genetics and biomarkers. Few studies mentioned patients’ needs, beliefs, behaviour, values, wishes, utilities, environment and circumstances, and there was little evidence in the literature for formal incorporation of patient preferences into the evaluation of new medicines. Most interviewees described approaches to stratification and segmentation of patients based on genetic markers or diagnostics, and few mentioned health-related quality of life. Conclusions: The published literature on personalized medicine is predominantly focused on patient stratification according to individual biological information. Although these approaches are important, incorporation of environmental factors and patients’ preferences in decision making is also needed. In future, personalized medicine should move from treating diseases to managing patients, taking into account all individual factors. © 2017 The Author(s).


Siebert U.,UMIT University for Health Sciences, Medical Informatics and Technology | Siebert U.,Center for Personalized Cancer Medicine | Siebert U.,Center for Health Decision Science | Siebert U.,Harvard University | And 3 more authors.
Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen | Year: 2013

Decision analysis (DA) and value-of-information (VOI) analysis provide a systematic, quantitative methodological framework that explicitly considers the uncertainty surrounding the currently available evidence to guide healthcare decisions. In medical decision making under uncertainty, there are two fundamental questions: 1) What decision should be made now given the best available evidence (and its uncertainty)?; 2) Subsequent to the current decision and given the magnitude of the remaining uncertainty, should we gather further evidence (i.e., perform additional studies), and if yes, which studies should be undertaken (e.g., efficacy, side effects, quality of life, costs), and what sample sizes are needed? Using the currently best available evidence, VoI analysis focuses on the likelihood of making a wrong decision if the new intervention is adopted. The value of performing further studies and gathering additional evidence is based on the extent to which the additional information will reduce this uncertainty. A quantitative framework allows for the valuation of the additional information that is generated by further research, and considers the decision maker's objectives and resource constraints. Claxton et al. summarise: "Value of information analysis can be used to inform a range of policy questions including whether a new technology should be approved based on existing evidence, whether it should be approved but additional research conducted or whether approval should be withheld until the additional evidence becomes available." [Claxton K. Value of information entry in Encyclopaedia of Health Economics, Elsevier, forthcoming 2014.] The purpose of this tutorial is to introduce the framework of systematic VoI analysis to guide further research. In our tutorial article, we explain the theoretical foundations and practical methods of decision analysis and value-of-information analysis. To illustrate, we use a simple case example of a foot ulcer (e.g., with diabetes) as well as key references from the literature, including examples for the use of the decision-analytic VoI framework by health technology assessment agencies to guide further research. These concepts may guide stakeholders involved or interested in how to determine whether or not and, if so, which additional evidence is needed to make decisions.


Scheuringer M.,MSD Sharp and Dohme GmbH | Sahakyan N.,Ludwig Maximilians University of Munich | Sahakyan N.,Center for Personalized Cancer Medicine | Sahakyan N.,UMIT University for Health Sciences, Medical Informatics and Technology | And 3 more authors.
Cost Effectiveness and Resource Allocation | Year: 2012

Guidance from the Institute for Quality and Efficiency in Health Care (IQWiG) on cost estimation in cost-benefit assessments in Germany acknowledges the need for standardization of costing methodology. The objective of this review was to assess current methods for deriving clinical event costs in German economic evaluations. A systematic literature search of 24 databases (including MEDLINE, BIOSIS, the Cochrane Library and Embase) identified articles, published between January 2005 and October 2009, which reported cost-effectiveness or cost-utility analyses. Studies assessed German patients and evaluated at least one of 11 predefined clinical events relevant to patients with diabetes mellitus. A total of 21 articles, describing 199 clinical cost events, met the inclusion criteria. Year of costing and time horizon were available for 194 (97%) and 163 (82%) cost events, respectively. Cost components were rarely specified (32 [16%]). Costs were generally based on a single literature source (140 [70%]); where multiple sources were cited (32 [16%]), data synthesis methodology was not reported. Cost ranges for common events, assessed using a Markov model with a cycle length of 12 months, were: acute myocardial infarction (nine studies), first year, 4,618-17,556 €; follow-up years, 1,006-3,647 €; and stroke (10 studies), first year; 10,149-24,936 €; follow-up years, 676-7,337 €. These results demonstrate that costs for individual clinical events vary substantially in German health economic evaluations, and that there is a lack of transparency and consistency in the methods used to derive them. The validity and comparability of economic evaluations would be improved by guidance on standardizing costing methodology for individual clinical events. © 2012 Scheuringer et al.; licensee BioMed Central Ltd.


Geiger-Gritsch S.,UMIT University for Health Sciences, Medical Informatics and Technology | Geiger-Gritsch S.,Ludwig Boltzmann Institute of Health Technology Assessment | Stollenwerk B.,UMIT University for Health Sciences, Medical Informatics and Technology | Stollenwerk B.,Helmholtz Center for Environmental Research | And 8 more authors.
Oncologist | Year: 2010

Objective. We performed a meta-analysis on adverse events seen with bevacizumab to combine the existing evidence about its safety in patients with advanced cancer. Methods. A systematic literature search was conducted to identify published, randomized controlled trials of bevacizumab in cancer patients with data on adverse events available. The primary endpoint was "severe adverse event," a composite of grade 3 and 4 adverse events. Secondary endpoints for the exploratory analysis were individual adverse events. We used random-effects meta-analysis to combine data. Results. Thirteen eligible publications were identified and eight trials reported the primary endpoint. Compared with the control group, the bevacizumab group had a slightly higher risk for any severe adverse event (pooled relative risk, 1.10; 95% confidence interval [95% CI], 1.01-1.19). The pooled risk difference was 7%(95%CI, 1%-13%), withanumber neededtoharm of 14 treated patients. Exploratory analyses showed a statistically significant higher risk for eight of the 15 evaluated secondary endpoints: bevacizumab was associated with a fourfold higher risk for hypertension, epistaxis, and gastrointestinal hemorrhage/perforation; a threefold higher risk for any bleeding events; and a lower, but elevated risk for proteinuria, leukopenia, diarrhea, and asthenia. No statistically significant differences were found for any thrombotic event (arterial or venous), hemoptysis, cardiac event, thrombocytopenia, neutropenia, impaired wound healing, or death related to an adverse event. Conclusion. Treatment with bevacizumab was associated with a slightly higher risk for any severe (grade 3 or 4) adverse event in patients with cancer. The result may impact individual benefit-risk assessments and policy guidelines. ©AlphaMed Press.


Oberaigner W.,Tyrolean State Hospitals Ltd. | Oberaigner W.,University for Information Science and Technology | Oberaigner W.,Center for Personalized Cancer Medicine | Oberaigner W.,TILAK GmbH | And 4 more authors.
European Journal of Public Health | Year: 2011

Background: Gender aspects in medicine are receiving increasing attention, namely also in oncology. For this reason, we decided to investigate whether for solid cancer sites women have better survival outcome than do men in the population of Tyrol, Austria. Methods: We conducted an observational population-based study in Tyrol. All solid cancer sites excluding non-melanoma skin cancer and sex-specific sites were analysed in total and all specific sites with more than 500 patients in the analysis. By the end of 2006, follow-up was ended. We applied a relative excess risk model, thus correcting for differences in life expectancy between women and men. Results: For all cancer sites combined, after adjusting for case mix, women had a relative excess risk of 0.95 (95 CI 0.91-0.99). For the following sites our analysis resulted in a relative excess risk statistically different from 1, namely for women as compared to men: head and neck without larynx 0.72 (95 CI 0.56-0.93), stomach 0.86 (95 CI 0.75-0.97) and lung 0.82 (95 CI 0.75-0.90). Conclusion: In a healthcare system with free access to diagnostics and therapy, after adjusting for staging distribution female cancer patients have a lesser excess mortality risk than do men for lung, stomach and head and neck cancer and also for all cancer sites combined after adjusting for case mix. © 2010 The Author.


PubMed | TARGOS Molecular Pathology GmbH, Protagen, Cornell University, Innsbruck Medical University and Center for Personalized Cancer Medicine
Type: Journal Article | Journal: PloS one | Year: 2016

Chronic inflammation is frequently observed on histological analysis of malignant and non-malignant prostate specimens. It is a suspected supporting factor for prostate diseases and their progression and a main cause of false positive PSA tests in cancer screening. We hypothesized that inflammation induces autoantibodies, which may be useful biomarkers. We aimed to identify and validate prostate inflammation associated serum autoantibodies in prostate cancer patients and evaluate the expression of corresponding autoantigens.Radical prostatectomy specimens of prostate cancer patients (N = 70) were classified into high and low inflammation groups according to the amount of tissue infiltrating lymphocytes. The corresponding pre-surgery blood serum samples were scrutinized for autoantibodies using a low-density protein array. Selected autoantigens were identified in prostate tissue and their expression pattern analyzed by immunohistochemistry and qPCR. The identified autoantibody profile was cross-checked in an independent sample set (N = 63) using the Luminex-bead protein array technology.Protein array screening identified 165 autoantibodies differentially abundant in the serum of high compared to low inflammation patients. The expression pattern of three corresponding antigens were established in benign and cancer tissue by immunohistochemistry and qPCR: SPAST (Spastin), STX18 (Syntaxin 18) and SPOP (speckle-type POZ protein). Of these, SPAST was significantly increased in prostate tissue with high inflammation. All three autoantigens were differentially expressed in primary and/or castration resistant prostate tumors when analyzed in an inflammation-independent tissue microarray. Cross-validation of the inflammation autoantibody profile on an independent sample set using a Luminex-bead protein array, retrieved 51 of the significantly discriminating autoantibodies. Three autoantibodies were significantly upregulated in both screens, MUT, RAB11B and CSRP2 (p>0.05), two, SPOP and ZNF671, close to statistical significance (p = 0.051 and 0.076).We provide evidence of an inflammation-specific autoantibody profile and confirm the expression of corresponding autoantigens in prostate tissue. This supports evaluation of autoantibodies as non-invasive markers for prostate inflammation.


Fischer M.,Innsbruck Medical University | Snajder R.,Innsbruck Medical University | Snajder R.,Center for Personalized Cancer Medicine | Pabinger S.,Innsbruck Medical University | And 6 more authors.
PLoS ONE | Year: 2012

In recent studies, exome sequencing has proven to be a successful screening tool for the identification of candidate genes causing rare genetic diseases. Although underlying targeted sequencing methods are well established, necessary data handling and focused, structured analysis still remain demanding tasks. Here, we present a cloud-enabled autonomous analysis pipeline, which comprises the complete exome analysis workflow. The pipeline combines several in-house developed and published applications to perform the following steps: (a) initial quality control, (b) intelligent data filtering and pre-processing, (c) sequence alignment to a reference genome, (d) SNP and DIP detection, (e) functional annotation of variants using different approaches, and (f) detailed report generation during various stages of the workflow. The pipeline connects the selected analysis steps, exposes all available parameters for customized usage, performs required data handling, and distributes computationally expensive tasks either on a dedicated high-performance computing infrastructure or on the Amazon cloud environment (EC2). The presented application has already been used in several research projects including studies to elucidate the role of rare genetic diseases. The pipeline is continuously tested and is publicly available under the GPL as a VirtualBox or Cloud image at http://simplex.i-med.ac.at additional supplementary data is provided at http://www.icbi.at/exome. © 2012 Fischer et al.


Stoitzner P.,Innsbruck Medical University | Schaffenrath S.,Innsbruck Medical University | Schaffenrath S.,Center for Personalized Cancer Medicine | Tripp C.H.,Innsbruck Medical University | And 9 more authors.
Experimental Dermatology | Year: 2014

Skin dendritic cells (DC) express C-type lectin receptors for the recognition of pathogens. Langerhans cells (LC) express the receptor Langerin/CD207, whereas DEC-205/CD205 is mainly expressed by dermal DC, but can also be detected at low levels on LC. In this study, we tested an ex vivo approach for targeting DC in situ with monoclonal antibodies (mAb) against Langerin and DEC-205. The targeting mAb was injected intradermally into human skin biopsies or added to the medium during skin explant culture. Corresponding to the expression patterns of these lectin receptors on skin DC, Langerin mAb was detected merely in LC in the epidermis and DEC-205 mainly in dermal DC in human skin explants, regardless of the application route. Migratory skin DC bound and carried targeting mAb from skin explants according to their lectin receptor expression profiles. In contrast to the very selective transport of Langerin mAb by LC, DEC-205 mAb was more widely distributed on all CD1a+ skin DC subsets but almost absent in CD14+ dermal DC. As effective vaccination requires the addition of adjuvant, we co-administered the toll-like receptor (TLR)-3 ligand poly I:C with the mAb. This adjuvant enhanced binding of DEC-205 mAb to all skin DC subsets, whereas Langerin targeting efficacy remained unchanged. Our findings demonstrate that LC can be preferentially targeted by Langerin mAb. In contrast, DEC-205 mAb can be bound by all CD1a+ skin DC subsets. The efficacy of DEC-205 mAb targeting strategy can be boosted by addition of poly I:C underlining the potential of this combination for immunotherapeutical interventions. © 2014 John Wiley & Sons A/S.


Dubrac S.,Innsbruck Medical University | Elentner A.,Innsbruck Medical University | Ebner S.,Innsbruck Medical University | Ebner S.,Center for Personalized Cancer Medicine | And 2 more authors.
Journal of Immunology | Year: 2010

The pregnane X receptor (PXR) is a ligand-activated transcription factor regulating genes central to drug and hormone metabolism in the liver. Previous reports indicated that PXR is expressed in PBMC, but the role of PXR in immune cells remains unknown. In this paper, we report increased PXR expression in mouse and human T lymphocytes upon immune activation. Furthermore, pharmacologic activation of PXR inhibits T lymphocyte proliferation and anergizes T lymphocytes by decreasing the expression of CD25 and IFN-γ and decreasing phosphorylated NF-κB and MEK1/2. Although these effects are preceded by an increase of suppressor of cytokine signaling 1, a master switch for IFN-γ expression, in a PXR-dependent manner, T-bet expression remains unchanged. Conversely, PXR-deficient mice exhibit an exaggerated T lymphocyte proliferation and increased CD25 expression. Furthermore, PXR-deficient lymphocytes produce more IFN-γ and less of the anti-inflammatory cytokine IL-10. In summary, these results reveal a novel immune-regulatory role of PXR in T lymphocytes and identify suppressor of cytokine signaling 1 as an early signal in PXR-mediated T lymphocyte suppression. Copyright © 2010 by The American Association of Immunologists, Inc.

Loading Center for Personalized Cancer Medicine collaborators
Loading Center for Personalized Cancer Medicine collaborators