| 1. |
- Sabaa, Amal Abu, et al.
(författare)
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Plasma protein biomarker profiling reveals major differences between acute leukaemia, lymphoma patients and controls
- 2022
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Ingår i: New Biotechnology. - : Elsevier. - 1871-6784 .- 1876-4347. ; 71, s. 21-29
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Tidskriftsartikel (refereegranskat)abstract
- Aiming to accommodate the unmet need for easily accessible biomarkers with a focus on biological differences between haematological diseases, the diagnostic value of plasma proteins in acute leukaemias and lymphomas was investigated. A multiplex proximity extension assay (PEA) was used to analyze 183 proteins in diagnostic plasma samples from 251 acute leukaemia and lymphoma patients and compared with samples from 60 healthy controls. Multivariate modelling using partial least square discriminant analysis revealed highly significant differences between distinct disease subgroups and controls. The model allowed explicit distinction between leukaemia and lymphoma, with few patients misclassified. Acute leukaemia samples had higher levels of proteins associated with haemostasis, inflammation, cell differentiation and cell-matrix integration, whereas lymphoma samples demonstrated higher levels of proteins known to be associated with tumour microenvironment and lymphoma dissemination. PEA technology can be used to screen for large number of plasma protein biomarkers in low mu L sample volumes, enabling the distinction between controls, acute leukaemias and lymphomas. Plasma protein profiling could help gain insights into the pathophysiology of acute leukaemia and lymphoma and the technique may be a valuable tool in the diagnosis of these diseases.
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| 2. |
- Bergengren, Oskar, et al.
(författare)
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Changes in lifestyle among prostate cancer survivors: A nationwide population-based study
- 2020
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Ingår i: Psycho-Oncology. - : Wiley. - 1057-9249 .- 1099-1611. ; 29:10
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Tidskriftsartikel (refereegranskat)abstract
- Objective Long-term information on lifestyle changes among prostate survivors is lacking. In this nationwide, population-based study we investigated the prevalence of lifestyle changes, factors associated with lifestyle changes and associations between lifestyle changes and general quality of life. Methods All men registered in the National Prostate Cancer Register of Sweden diagnosed in 2008 with low-risk prostate cancer at age 70 years or younger were sent a questionnaire. Logistic regression was used to calculate odds ratios (ORs) with 95% confidence intervals for factors potentially associated with lifestyle change. Results Out of 1288, 1720 men (75%) were responded. A total of 279 (22%) reported a positive lifestyle change regarding diet or exercise. Poor functional outcomes after treatment was associated with exercising less (OR 1.6, 95% CI 1.2-2.1) and less interest in social activities and relationships (OR 1.8, 95% CI 1.5-2.1). Men who exercised more (OR 7.9, 95% CI 4.4-14) and men who had an increased interest in relationships and social activities (OR 5.2, 95% CI 2.1-13) reported higher general quality of life. Conclusions A considerable proportion of men reported making positive lifestyle changes after the prostate cancer diagnosis. The time after diagnosis may be a teachable moment that facilitates lifestyle interventions. Poor functional outcomes after treatment may reduce the willingness to engage in positive lifestyle change, which need be considered when supporting men after treatment. Men who made a positive lifestyle change, regardless of whether it was exercise or regarding relationships and social activities more often reported a high level of general quality of life.
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| 3. |
- Enblad, Anna Pia, et al.
(författare)
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PSA testing patterns in a large Swedish cohort before the implementation of organized PSA testing
- 2020
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Ingår i: Scandinavian journal of urology. - : Taylor & Francis. - 2168-1805 .- 2168-1813. ; 54:5, s. 376-381
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Tidskriftsartikel (refereegranskat)abstract
- Background: Organized PSA testing for asymptomatic men aged 50-74 years will be implemented in Sweden to reduce opportunistic testing in groups who will not benefit. The aim of this study was to describe the opportunistic PSA testing patterns in a Swedish region before the implementation of organized PSA testing programs.Method: We included all men in the Uppsala-orebro health care region of Sweden who were PSA tested between 1 July 2012 and 30 June 2014. Information regarding previous PSA testing, prostate cancer diagnosis, socioeconomic situation, surgical procedures and prescribed medications were collected from population-wide registries to create the Uppsala-orebro PSA cohort (UPSAC). The cohort was divided into repeat and single PSA testers. The background population used for comparison consisted of men 40 years or older, living in the Uppsala-orebro region during this time period.Results: Of the adult male population in the region, 18.1% had undergone PSA testing. Among men over 85 years old 21% where PSA tested. In our cohort, 62.1% were repeat PSA testers. Of men with a PSA level <= 1 mu g/l 53.8% had undergone repeat testing. Prostate cancer was found in 2.7% and 4.8% of the repeat and single testers, respectively.Conclusion: Every fifth man in the male background population was PSA tested. Repeated PSA testing was common despite low PSA values. As repeated PSA testing was common, especially among older men who will not be included in organized testing, special measures to change the testing patterns in this group may be required.
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| 4. |
- Gezelius, Henrik, PhD, 1977-, et al.
(författare)
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Comparison of high-throughput single-cell RNA-seq methods for ex vivo drug screening
- 2024
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Ingår i: NAR Genomics and Bioinformatics. - : Oxford University Press. - 2631-9268. ; 6:1
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Tidskriftsartikel (refereegranskat)abstract
- Functional precision medicine (FPM) aims to optimize patient-specific drug selection based on the unique characteristics of their cancer cells. Recent advancements in high throughput ex vivo drug profiling have accelerated interest in FPM. Here, we present a proof-of-concept study for an integrated experimental system that incorporates ex vivo treatment response with a single-cell gene expression output enabling barcoding of several drug conditions in one single-cell sequencing experiment. We demonstrate this through a proof-of-concept investigation focusing on the glucocorticoid-resistant acute lymphoblastic leukemia (ALL) E/R+ Reh cell line. Three different single-cell transcriptome sequencing (scRNA-seq) approaches were evaluated, each exhibiting high cell recovery and accurate tagging of distinct drug conditions. Notably, our comprehensive analysis revealed variations in library complexity, sensitivity (gene detection), and differential gene expression detection across the methods. Despite these differences, we identified a substantial transcriptional response to fludarabine, a highly relevant drug for treating high-risk ALL, which was consistently recapitulated by all three methods. These findings highlight the potential of our integrated approach for studying drug responses at the single-cell level and emphasize the importance of method selection in scRNA-seq studies. Finally, our data encompassing 27 327 cells are freely available to extend to future scRNA-seq methodological comparisons.
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| 5. |
- Krali, Olga, et al.
(författare)
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Multimodal classification of molecular subtypes in pediatric acute lymphoblastic leukemia
- 2023
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Ingår i: npj Precision Oncology. - : Springer Nature. - 2397-768X. ; 7:1
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Tidskriftsartikel (refereegranskat)abstract
- Genomic analyses have redefined the molecular subgrouping of pediatric acute lymphoblastic leukemia (ALL). Molecular subgroups guide risk-stratification and targeted therapies, but outcomes of recently identified subtypes are often unclear, owing to limited cases with comprehensive profiling and cross-protocol studies. We developed a machine learning tool (ALLIUM) for the molecular subclassification of ALL in retrospective cohorts as well as for up-front diagnostics. ALLIUM uses DNA methylation and gene expression data from 1131 Nordic ALL patients to predict 17 ALL subtypes with high accuracy. ALLIUM was used to revise and verify the molecular subtype of 281 B-cell precursor ALL (BCP-ALL) cases with previously undefined molecular phenotype, resulting in a single revised subtype for 81.5% of these cases. Our study shows the power of combining DNA methylation and gene expression data for resolving ALL subtypes and provides a comprehensive population-based retrospective cohort study of molecular subtype frequencies in the Nordic countries.
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