| 61. |
- Enroth, Stefan, 1976-, et al.
(författare)
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Data-driven analysis of a validated risk score for ovarian cancer identifies clinically distinct patterns during follow-up and treatment
- 2022
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Ingår i: Communications Medicine. - : Springer Nature. - 2730-664X. ; 2:1
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundOvarian cancer is the eighth most common cancer among women and due to late detection prognosis is poor with an overall 5-year survival of 30–50%. Novel biomarkers are needed to reduce diagnostic surgery and enable detection of early-stage cancer by population screening. We have previously developed a risk score based on an 11-biomarker plasma protein assay to distinguish benign tumors (cysts) from malignant ovarian cancer in women with adnexal ovarian mass.MethodsProtein concentrations of 11 proteins were characterized in plasma from 1120 clinical samples with a custom version of the proximity extension assay. The performance of the assay was evaluated in terms of prediction accuracy based on receiver operating characteristics (ROC) and multiple hypothesis adjusted Fisher’s Exact tests on achieved sensitivity and specificity.ResultsThe assay’s performance is validated in two independent clinical cohorts with a sensitivity of 0.83/0.91 and specificity of 0.88/0.92. We also show that the risk score follows the clinical development and is reduced upon treatment, and increased with relapse and cancer progression. Data-driven modeling of the risk score patterns during a 2-year follow-up after diagnosis identifies four separate risk score trajectories linked to clinical development and survival. A Cox proportional hazard regression analysis of 5-year survival shows that at time of diagnosis the risk score is the second-strongest predictive variable for survival after tumor stage, whereas MUCIN-16 (CA-125) alone is not significantly predictive.ConclusionThe robust performance of the biomarker assay across clinical cohorts and the correlation with clinical development indicates its usefulness both in the diagnostic work-up of women with adnexal ovarian mass and for predicting their clinical course.
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| 62. |
- Enroth, Stefan, et al.
(författare)
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Effects of Long-Term Storage Time and Original Sampling Month on Biobank Plasma Protein Concentrations
- 2016
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Ingår i: EBioMedicine. - : Elsevier BV. - 2352-3964. ; 12, s. 309-314
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Tidskriftsartikel (refereegranskat)abstract
- The quality of clinical biobank samples is crucial to their value for life sciences research. A number of factors related to the collection and storage of samples may affect the biomolecular composition. We have studied the effect of long-time freezer storage, chronological age at sampling, season and month of the year and on the abundance levels of 108 proteins in 380 plasma samples collected from 106 Swedish women. Storage time affected 18 proteins and explained 4.8–34.9% of the observed variance. Chronological age at sample collection after adjustment for storage-time affected 70 proteins and explained 1.1–33.5% of the variance. Seasonal variation had an effect on 15 proteins and month (number of sun hours) affected 36 proteins and explained up to 4.5% of the variance after adjustment for storage-time and age. The results show that freezer storage time and collection date (month and season) exerted similar effect sizes as age on the protein abundance levels. This implies that information on the sample handling history, in particular storage time, should be regarded as equally prominent covariates as age or gender and need to be included in epidemiological studies involving protein levels.
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| 63. |
- Enroth, Stefan, 1976-, et al.
(författare)
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High throughput proteomics identifies a high-accuracy 11 plasma protein biomarker signature for ovarian cancer
- 2019
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Ingår i: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 2
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Tidskriftsartikel (refereegranskat)abstract
- Ovarian cancer is usually detected at a late stage and the overall 5-year survival is only 30-40%. Additional means for early detection and improved diagnosis are acutely needed. To search for novel biomarkers, we compared circulating plasma levels of 593 proteins in three cohorts of patients with ovarian cancer and benign tumors, using the proximity extension assay (PEA). A combinatorial strategy was developed for identification of different multivariate biomarker signatures. A final model consisting of 11 biomarkers plus age was developed into a multiplex PEA test reporting in absolute concentrations. The final model was evaluated in a fourth independent cohort and has an AUC = 0.94, PPV = 0.92, sensitivity = 0.85 and specificity = 0.93 for detection of ovarian cancer stages I-IV. The novel plasma protein signature could be used to improve the diagnosis of women with adnexal ovarian mass or in screening to identify women that should be referred to specialized examination.
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| 64. |
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| 65. |
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| 66. |
- Enroth, Stefan, 1976-
(författare)
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Plasma Proteins and Cancer
- 2021
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Ingår i: Cancers. - : MDPI. - 2072-6694. ; 13:5
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- The human plasma comes into contact with virtually all the cells in the human body and can be easily sampled through phlebotomy [...]
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| 67. |
- Enroth, Stefan, et al.
(författare)
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Prevalence and sensitization of atopic allergy and coeliac disease in the Northern Sweden Population Health Study
- 2013
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Ingår i: International Journal of Circumpolar Health. - : Informa UK Limited. - 1239-9736 .- 2242-3982. ; 72, s. 21403-
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND:Atopic allergy is effected by a number of environmental exposures, such as dry air and time spent outdoors, but there are few estimates of the prevalence in populations from sub-arctic areas.OBJECTIVE:To determine the prevalence and severity of symptoms of food, inhalation and skin-related allergens and coeliac disease (CD) in the sub-arctic region of Sweden. To study the correlation between self-reported allergy and allergy test results. To estimate the heritability of these estimates.STUDY DESIGN:The study was conducted in Karesuando and Soppero in Northern Sweden as part of the Northern Sweden Population Health Study (n=1,068). We used a questionnaire for self-reported allergy and CD status and measured inhalation-related allergens using Phadiatop, food-related allergens using the F×5 assay and IgA and IgG antibodies against tissue transglutaminase (anti-tTG) to indicate prevalence of CD.RESULTS:The prevalence of self-reported allergy was very high, with 42.3% reporting mild to severe allergy. Inhalation-related allergy was reported in 26.7%, food-related allergy in 24.9% and skin-related allergy in 2.4% of the participants. Of inhalation-related allergy, 11.0% reported reactions against fur and 14.6% against pollen/grass. Among food-related reactions, 14.9% reported milk (protein and lactose) as the cause. The IgE measurements showed that 18.4% had elevated values for inhalation allergens and 11.7% for food allergens. Self-reported allergies and symptoms were positively correlated (p<0.01) with age- and sex-corrected inhalation allergens. Allergy prevalence was inversely correlated with age and number of hours spent outdoors. High levels of IgA and IgG anti-tTG antibodies, CD-related allergens, were found in 1.4 and 0.6% of participants, respectively. All allergens were found to be significantly (p<3 e-10) heritable, with estimated heritabilities ranging from 0.34 (F×5) to 0.65 (IgA).CONCLUSIONS:Self-reported allergy correlated well with the antibody measurements. The prevalence of allergy was highest in the young and those working inside. Heritability of atopy and sensitization was high. The prevalence of CD-related autoantibodies was high and did not coincide with the self-reported allergy.
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| 68. |
- Enroth, Stefan, 1976-, et al.
(författare)
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SICTIN : Rapid footprinting of massively parallel sequencing data
- 2010
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Ingår i: BioData Mining. - : Springer Science and Business Media LLC. - 1756-0381. ; 3
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Massively parallel sequencing allows for genome-wide hypothesis-free investigation of for instance transcription factor binding sites or histone modifications. Although nucleotide resolution detailed information can easily be generated, biological insight often requires a more general view of patterns (footprints) over distinct genomic features such as transcription start sites, exons or repetitive regions. The construction of these footprints is however a time consuming task.METHODS: The presented software generates a binary representation of the signals enabling fast and scalable lookup. This representation allows for footprint generation in mere minutes on a desktop computer. Several different input formats are accepted, e.g. the SAM format, bed-files and the UCSC wiggle track.CONCLUSIONS: Hypothesis-free investigation of genome wide interactions allows for biological data mining at a scale never before seen. Until recently, the main focus of analysis of sequencing data has been targeted on signal patterns around transcriptional start sites which are in manageable numbers. Today, focus is shifting to a wider perspective and numerous genomic features are being studied. To this end, we provide a system allowing for fast querying in the order of hundreds of thousands of features.
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| 69. |
- Enroth, Stefan, 1976-
(författare)
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The Nucleosome as a Signal Carrying Unit : From Experimental Data to Combinatorial Models of Transcriptional Control
- 2010
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The human genome consists of over 3 billion nucleotides and would be around 2 meters long if uncoiled and laid out. Each human somatic cell contains all this in their nucleus which is only around 5 µm across. This extreme compaction is largely achieved by wrapping the DNA around a histone octamer, the nucleosome. Still, the DNA is accessible to the transcriptional machinery and this regulation is highly dynamic and change rapidly with, e.g. exposure to drugs. The individual histone proteins can carry specific modifications such as methylations and acetylations. These modifications are a major part of the epigenetic status of the DNA which contributes significantly to the transcriptional status of a gene - certain modifications repress transcription and others are necessary for transcription to occur. Specific histone methylations and acetylations have also been implicated in more detailed regulation such as inclusion/exclusion of individual exons, i.e. splicing. Thus, the nucleosome is involved in chromatin remodeling and transcriptional regulation – both directly from steric hindrance but also as a signaling platform via the epigenetic modifications. In this work, we have developed tools for storage (Paper I) and normalization (Paper II) of next generation sequencing data in general, and analyzed nucleosome locations and histone modification in particular (Paper I, III and IV). The computational tools developed allowed us as one of the first groups to discover well positioned nucleosomes over internal exons in such wide spread organisms as worm, mouse and human. We have also provided biological insight into how the epigenetic histone modifications can control exon expression in a combinatorial way. This was achieved by applying a Monte Carlo feature selection system in combination with rule based modeling of exon expression. The constructed model was validated on data generated in three additional cell types suggesting a general mechanism.
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| 70. |
- Evangelou, Evangelos, et al.
(författare)
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Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.
- 2018
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Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 50:10, s. 1412-1425
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Tidskriftsartikel (refereegranskat)abstract
- High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.
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