| 1. |
- Adams, Charleen, et al.
(författare)
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Circulating Metabolic Biomarkers of Screen-Detected Prostate Cancer in the ProtecT Study
- 2019
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Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - : American Association for Cancer Research (AACR). - 1055-9965 .- 1538-7755. ; 28:1, s. 208-216
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Whether associations between circulating metabolites and prostate cancer are causal is unknown. We report on the largest study of metabolites and prostate cancer (2,291 cases and 2,661 controls) and appraise causality for a subset of the prostate cancer-metabolite associations using two-sample Mendelian randomization (MR).MATERIALS AND METHODS: The case-control portion of the study was conducted in nine UK centres with men aged 50-69 years who underwent prostate-specific antigen (PSA) screening for prostate cancer within the Prostate testing for cancer and Treatment (ProtecT) trial. Two data sources were used to appraise causality: a genome-wide association study (GWAS) of metabolites in 24,925 participants and a GWAS of prostate cancer in 44,825 cases and 27,904 controls within the Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium.RESULTS: Thirty-five metabolites were strongly associated with prostate cancer (p <0.0014, multiple-testing threshold). These fell into four classes: i) lipids and lipoprotein subclass characteristics (total cholesterol and ratios, cholesterol esters and ratios, free cholesterol and ratios, phospholipids and ratios, and triglyceride ratios); ii) fatty acids and ratios; iii) amino acids; iv) and fluid balance. Fourteen top metabolites were proxied by genetic variables, but MR indicated these were not causal.CONCLUSIONS: We identified 35 circulating metabolites associated with prostate cancer presence, but found no evidence of causality for those 14 testable with MR. Thus, the 14 MR-tested metabolites are unlikely to be mechanistically important in prostate cancer risk.IMPACT: The metabolome provides a promising set of biomarkers that may aid prostate cancer classification.
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| 2. |
- Bonn, Stephanie E., et al.
(författare)
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Physical Activity and Survival among Men Diagnosed with Prostate Cancer
- 2015
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Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - : AMER ASSOC CANCER RESEARCH. - 1055-9965 .- 1538-7755. ; 24:1, s. 57-64
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Tidskriftsartikel (refereegranskat)abstract
- Background: Few studies have investigated the association between post-diagnosis physical activity and mortality among men diagnosed with prostate cancer. The aim of this study was to investigate the effect of physical activity after a prostate cancer diagnosis on both overall and prostate cancer-specific mortality in a large cohort. Methods: Data from 4,623 men diagnosed with localized prostate cancer 1997-2002 and followed-up until 2012 were analyzed. HRs with 95% confidence intervals (CI) were estimated using Cox proportional hazards models to examine the association between post-diagnosis recreational MET-h/d, time spent walking/bicycling, performing household work or exercising, and time to overall and prostate cancer-specific death. All models were adjusted for potential confounders. Results: During the follow-up, 561 deaths of any cause and 194 deaths from prostate cancer occurred. Statistically significantly lower overall mortality rates were found among men engaged in 5 recreationalMET-h/d (HR, 0.63; 95% CI, 0.52-0.77), walking/ bicycling 20 min/d (HR, 0.70; 95% CI, 0.57-0.86), performing householdwork > 1 h/d (HR, 0.71; 95% CI, 0.59-0.86), or exercising > 1 h/wk (HR, 0.74; 95% CI, 0.61-0.90), compared with less active men within each activity type. For prostate cancer-specific mortality, statistically significantly lower mortality rates were seen among men walking/bicycling >= 20 min/d (HR, 0.61; 95% CI, 0.43-0.87) or exercising 1 h/wk (HR, 0.68; 95% CI, 0.48-0.94). Conclusions: Higher levels of physical activity were associated with reduced rates of overall and prostate cancer-specific mortality. Impact: Our study further strengthens previous results indicating beneficial effects of physical activity on survival among men with prostate cancer. Cancer Epidemiol Biomarkers Prev; 24(1); 57-64.
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| 3. |
- Jan, Michael, et al.
(författare)
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The roles of stress and social support in prostate cancer mortality
- 2016
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Ingår i: Scandinavian journal of urology. - : Informa UK Limited. - 2168-1805 .- 2168-1813. ; 50:1, s. 47-55
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Tidskriftsartikel (refereegranskat)abstract
- Objective: This study aimed to evaluate the association between perceived stress, social support, disease progression and mortality in a nationwide population-based cohort of men with prostate cancer. Materials and methods: The study surveyed 4105 Swedish men treated for clinically localized prostate cancer regarding stress, grief, sleep habits and social support. Associations between these factors and mortality were assessed using multivariate Cox regression analysis. Results: Men with the highest levels of perceived stress had a statistically significantly increased rate of prostate cancer-specific mortality compared with men with low stress levels (hazard ratio 1.66, 95% confidence interval 1.05-2.63). Men with high stress levels also had a high frequency of grieving and sleep loss. They also had fewer people with whom to share their emotional problems and felt an inability to share most of their problems with partners, friends and family. Conclusions: This study contributes to the growing field of psychosocial quality of life research in men with prostate cancer. The findings show a significant association between prostate cancer-specific mortality and perceived stress in patients initially diagnosed with localized, non-metastatic prostate cancer. Significant associations between perceived stress and various psychosocial factors were also seen. The findings of this study could prove useful to target interventions to improve quality of life in men with prostate cancer.
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| 4. |
- Locke, Adam E, et al.
(författare)
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Genetic studies of body mass index yield new insights for obesity biology.
- 2015
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 518:7538, s. 197-401
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Tidskriftsartikel (refereegranskat)abstract
- Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
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| 5. |
- Spjuth, Ola, 1977-, et al.
(författare)
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E-Science technologies in a workflow for personalized medicine using cancer screening as a case study
- 2017
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Ingår i: JAMIA Journal of the American Medical Informatics Association. - : Oxford University Press. - 1067-5027 .- 1527-974X. ; 24:5, s. 950-957
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Tidskriftsartikel (refereegranskat)abstract
- Objective: We provide an e-Science perspective on the workflow from risk factor discovery and classification of disease to evaluation of personalized intervention programs. As case studies, we use personalized prostate and breast cancer screenings.Materials and Methods: We describe an e-Science initiative in Sweden, e-Science for Cancer Prevention and Control (eCPC), which supports biomarker discovery and offers decision support for personalized intervention strategies. The generic eCPC contribution is a workflow with 4 nodes applied iteratively, and the concept of e-Science signifies systematic use of tools from the mathematical, statistical, data, and computer sciences.Results: The eCPC workflow is illustrated through 2 case studies. For prostate cancer, an in-house personalized screening tool, the Stockholm-3 model (S3M), is presented as an alternative to prostate-specific antigen testing alone. S3M is evaluated in a trial setting and plans for rollout in the population are discussed. For breast cancer, new biomarkers based on breast density and molecular profiles are developed and the US multicenter Women Informed to Screen Depending on Measures (WISDOM) trial is referred to for evaluation. While current eCPC data management uses a traditional data warehouse model, we discuss eCPC-developed features of a coherent data integration platform.Discussion and Conclusion: E-Science tools are a key part of an evidence-based process for personalized medicine. This paper provides a structured workflow from data and models to evaluation of new personalized intervention strategies. The importance of multidisciplinary collaboration is emphasized. Importantly, the generic concepts of the suggested eCPC workflow are transferrable to other disease domains, although each disease will require tailored solutions.
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| 6. |
- Wang, Mei, et al.
(författare)
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Development and Validation of a Novel RNA Sequencing-Based Prognostic Score for Acute Myeloid Leukemia
- 2018
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Ingår i: Journal of the National Cancer Institute. - : OXFORD UNIV PRESS INC. - 0027-8874 .- 1460-2105. ; 110:10, s. 1094-1101
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Tidskriftsartikel (refereegranskat)abstract
- Background: Recent progress in sequencing technologies allows us to explore comprehensive genomic and transcriptomic information to improve the current European LeukemiaNet (ELN) system of acute myeloid leukemia (AML).Methods: We compared the prognostic value of traditional demographic and cytogenetic risk factors, genomic data in the form of somatic aberrations of 25 AML-relevant genes, and whole-transcriptome expression profiling (RNA sequencing) in 267 intensively treated AML patients (Clinseq-AML). Multivariable penalized Cox models (overall survival [OS]) were developed for each data modality (clinical, genomic, transcriptomic), together with an associated prognostic risk score.Results: Of the three data modalities, transcriptomic data provided the best prognostic value, with an integrated area under the curve (iAUC) of a time-dependent receiver operating characteristic (ROC) curve of 0.73. We developed a prognostic risk score (Clinseq-G) from transcriptomic data, which was validated in the independent The Cancer Genome Atlas AML cohort (RNA sequencing, n = 142, iAUC = 0.73, comparing the high-risk group with the low-risk group, hazard ratio [HR] OS = 2.42, 95% confidence interval [CI] = 1.51 to 3.88). Comparison between Clinseq-G and ELN score iAUC estimates indicated strong evidence in favor of the Clinseq-G model (Bayes factor = 26.78). The proposed model remained statistically significant in multivariable analysis including the ELN and other well-known risk factors (HRos = 2.34, 95% CI = 1.30 to 4.22). We further validated the Clinseq-G model in a second independent data set (n = 458, iAUC = 0.66, adjusted HROS = 2.02, 95% CI = 1.33 to 3.08; adjusted HREFS = 2.10, 95% CI = 1.42 to 3.12).Conclusions: Our results indicate that the Clinseq-G prediction model, based on transcriptomic data from RNA sequencing, outperforms traditional clinical parameters and previously reported models based on genomic biomarkers.
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| 7. |
- Åström, Lennart
(författare)
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Dose Escalation with High Dose Rate Brachytherapy or Protons in Curative Radiotherapy of Prostate Cancer
- 2018
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The aim of the thesis was to study the outcome and side effects after dose-escalated radiotherapy with high dose rate brachytherapy (HDR-BT) or proton beam therapy (PBT) boost in prostate cancer.The first cohorts of men in Sweden treated with either HDR-BT or PBT in combination with conventional photon beam therapy (2 Gray (Gy) fractions to 50 Gy) were analysed. The HDR-BT was given with two 10 Gy fractions, and the PBT with four fractions of 5 Gy. The analyses included 823 men in two HDR-BT cohorts, and 265 men in the PBT cohort. A large proportion of the cohorts, from 38% to 53%, were classified as high risk. After a follow-up between four and eleven years, both combinations showed low risks for relapse. The overall 5-year risk for PSA relapse was 0% for men with low risk. After PBT, the 5-year PSA relapse risk for intermediate and high risk were 5% and 26% respectively. After HDR-BT the 10-year risks for PSA relapse were 0%, 21% and 33% for low, intermediate, and high risk, respectively.The risk for early and late toxicity was low. Genitourinary (GU) toxicity was more frequent than gastrointestinal (GI) toxicity. GU toxicity may have a late onset and progress slowly with time after HDR-BT. The 5- and 10-year actuarial incidences of urethral stricture were 6% and 10% respectively after HDR-BT. With applied dose constraints to the urethra the 10-year risk was 5%. The actuarial prevalence of GI toxicity declined slowly with time after HDR-BT as well as after PBT.A PSA bounce after HDR-BT was seen in 26% of the patients, more frequent with younger age and lower Gleason score, and followed by a low risk for relapse.For dose-escalated radiotherapy with HDR-BT or PBT:long-term tumour control was achieved, not only for low- and intermediate risk, but also for the majority of high risk patients,a PSA bounce after HDR-BT was folled by a good prognosis,levels of late toxicity were low,genitourinary toxicity was more frequent than gastrointestinal toxicity,dose constraints to risk organs must be applied to minimise risks for late toxicity.
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