| 1. |
- Alvez, Maria Bueno, et al.
(författare)
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Next generation pan-cancer blood proteome profiling using proximity extension assay
- 2023
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Ingår i: Nature Communications. - : Springer Nature. - 2041-1723. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- A comprehensive characterization of blood proteome profiles in cancer patients can contribute to a better understanding of the disease etiology, resulting in earlier diagnosis, risk stratification and better monitoring of the different cancer subtypes. Here, we describe the use of next generation protein profiling to explore the proteome signature in blood across patients representing many of the major cancer types. Plasma profiles of 1463 proteins from more than 1400 cancer patients are measured in minute amounts of blood collected at the time of diagnosis and before treatment. An open access Disease Blood Atlas resource allows the exploration of the individual protein profiles in blood collected from the individual cancer patients. We also present studies in which classification models based on machine learning have been used for the identification of a set of proteins associated with each of the analyzed cancers. The implication for cancer precision medicine of next generation plasma profiling is discussed.
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| 2. |
- Bratulic, Sinisa, 1981, et al.
(författare)
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Noninvasive detection of any-stage cancer using free glycosaminoglycans.
- 2022
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 119:50
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Tidskriftsartikel (refereegranskat)abstract
- Cancer mortality is exacerbated by late-stage diagnosis. Liquid biopsies based on genomic biomarkers can noninvasively diagnose cancers. However, validation studies have reported ~10% sensitivity to detect stage I cancer in a screening population and specific types, such as brain or genitourinary tumors, remain undetectable. We investigated urine and plasma free glycosaminoglycan profiles (GAGomes) as tumor metabolism biomarkers for multi-cancer early detection (MCED) of 14 cancer types using 2,064 samples from 1,260 cancer or healthy subjects. We observed widespread cancer-specific changes in biofluidic GAGomes recapitulated in an in vivo cancer progression model. We developed three machine learning models based on urine (Nurine = 220 cancer vs. 360 healthy) and plasma (Nplasma = 517 vs. 425) GAGomes that can detect any cancer with an area under the receiver operating characteristic curve of 0.83-0.93 with up to 62% sensitivity to stage I disease at 95% specificity. Undetected patients had a 39 to 50% lower risk of death. GAGomes predicted the putative cancer location with 89% accuracy. In a validation study on a screening-like population requiring ≥ 99% specificity, combined GAGomes predicted any cancer type with poor prognosis within 18 months with 43% sensitivity (21% in stage I; N = 121 and 49 cases). Overall, GAGomes appeared to be powerful MCED metabolic biomarkers, potentially doubling the number of stage I cancers detectable using genomic biomarkers.
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| 3. |
- Durham, Justin, et al.
(författare)
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Constructing the brief diagnostic criteria for temporomandibular disorders (bDC/TMD) for field testing
- 2024
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Ingår i: Journal of Oral Rehabilitation. - : John Wiley & Sons. - 1365-2842. ; 51:5, s. 785-794
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Tidskriftsartikel (refereegranskat)abstract
- Background: Despite advances in temporomandibular disorders' (TMDs) diagnosis, the diagnostic process continues to be problematic in non-specialist settings.Objective: To complete a Delphi process to shorten the Diagnostic Criteria for TMD (DC/TMD) to a brief DC/TMD (bDC/TMD) for expedient clinical diagnosis and initial management.Methods: An international Delphi panel was created with 23 clinicians representing major specialities, general dentistry and related fields. The process comprised a full day workshop, seven virtual meetings, six rounds of electronic discussion and finally an open consultation at a virtual international symposium.Results: Within the physical axis (Axis 1), the self-report Symptom Questionnaire of the DC/TMD did not require shortening from 14 items for the bDC/TMD. The compulsory use of the TMD pain screener was removed reducing the total number of Axis 1 items by 18%. The DC/TMD Axis 1 10-section examination protocol (25 movements, up to 12 sets of bilateral palpations) was reduced to four sections in the bDC/TMD protocol involving three movements and three sets of palpations. Axis I then resulted in two groups of diagnoses: painful TMD (inclusive of secondary headache), and common joint-related TMD with functional implications. The psychosocial axis (Axis 2) was shortened to an ultra-brief 11 item assessment.Conclusion: The bDC/TMD represents a substantially reduced and likely expedited method to establish (grouping) diagnoses in TMDs. This may provide greater utility for settings requiring less granular diagnoses for the implementation of initial treatment, for example non-specialist general dental practice.
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| 4. |
- Häggman, Michael, et al.
(författare)
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Bi-parametric MRI/TRUS fusion targeted repeat biopsy after systematic 10-12 core TRUS-guided biopsy reveals more significant prostate cancer especially in anteriorly located tumors
- 2022
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Ingår i: Acta Radiologica Open. - : SAGE Publications. - 2058-4601. ; 11:3
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Tidskriftsartikel (refereegranskat)abstract
- Background: MRI and fusion guided biopsy have an increased role in the diagnosis of prostate cancer. Purpose: To demonstrate the possible advantages with Bi-parametric MRI fusion-guided repeat biopsy over systematic 10-12-core biopsy for the diagnosis of prostate cancer. Material and Methods: Four hundred and twenty-three consecutive men, with previous systematic 10-12-core TRUS-guided biopsy, and with suspicion of, or diagnosis of, low-risk prostate cancer underwent fusion-guided prostate biopsy between February 2015 and February 2017. The material was retrospectively assessed. In 220 cases no previous cancer was diagnosed, and in 203 cases confirmatory fusion guided biopsy was performed prior to active monitoring. MRI was classified according to PI-RADS. Systematic biopsy was compared to fusion guided biopsy for the detection of cancer, and PI-RADS was compared to the Gleason score. Results: Fusion guided biopsy detected significantly more cancers than systematic (p < .001). Gleason scores were higher in the fusion biopsy group (p < .001). Anterior tumors were present in 54% of patients. Fusion biopsy from these lesions showed cancer in 53% with previously negative biopsy in systematic biopsies and 66% of them were upgraded from low risk to intermediate or high-risk cancers. Conclusion: These results show superior detection rate and grading of bi-parametric MRI/TRUS fusion targeted repeat biopsy over systematic 10-12 core biopsies. Fusion guided biopsy detects more significant cancers despite using fewer cores. The risk group was changed for many patients initially selected for active surveillance due to upgrading of tumors. Bi-parametric MRI shows promising results in detecting anterior tumors in patients with suspected prostate cancer.
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| 5. |
- Mitropoulos, Dionysios, et al.
(författare)
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Androgen deprivation monotherapy usage in non-metastatic prostate cancer : results from eight European countries
- 2021
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Ingår i: CENTRAL EUROPEAN JOURNAL OF UROLOGY. - : POLISH UROLOGICAL ASSOC. - 2080-4806 .- 2080-4873. ; 74:2, s. 161-168
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: The aim of this study was to investigate the attitudes towards use of androgen deprivation therapy (ADT) as monotherapy for localized or locally advanced prostate cancer (PC).Material and methods: A survey using a 28-item, structured, quantitative questionnaire about the management of patients with PC was conducted in eight European countries between February and May 2018. Survey recipients were selected from a private database of healthcare providers.Results: Overall, 375 physicians completed the survey (response rate, 58%). Participants were urologists (71.2%) or medical oncologists (28.8%), with a mean practice duration of 19.9 years and with university hospital or cancer center (41.6%), non-teaching hospital (38.4%) or private-sector clinic (20.0%) affiliations. Median proportions of physicians considering ADT as monotherapy to treat patients with PC in different risk groups varied between countries, but overall were: high/very high-risk, 60%; intermediate-risk, 30%; low-risk, 7.5%. The use of ADT monotherapy in the different risk groups also varied by medical specialty and type of affiliation. Proportions of participants applying different target thresholds for testosterone (T) levels also varied by country, but overall were: <50 ng/dL, 29.9%; <32 ng/dL, 4.8%; <20 ng/dL, 54.3%; castration but no specific target, 11%. More than half of participants (58.7%) determined target T levels only when prostate-specific antigen level was increased.Conclusions: Our multinational survey provides evidence that PC management varies across European countries and with clinical context, and frequently diverges from European Association of Urology (EAU) - European Society for Radiotherapy and Oncology (ESTRO) - European Society of Urogenital Radiology (ESUR) - International Society of Geriatric Oncology (SIOG) guidelines. Strategies for effective implementation of evidence-based recommendations in clinical practice may be needed to optimize patient outcomes.
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| 6. |
- Regula, Naresh, et al.
(författare)
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Carbon Flux as a Measure of Prostate Cancer Aggressiveness : [11C]-Acetate PET/CT
- 2020
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Ingår i: International Journal of Medical Sciences. - : Ivyspring International Publisher. - 1449-1907. ; 17:2, s. 214-223
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Dynamic [11C]-acetate positron emission tomography (PET) can be used to study tissue perfusion and carbon flux simultaneously. In this study, the feasibility of the quantification of prostate cancer aggressiveness using parametric methods assessing [11C]-acetate kinetics was investigated in prostate cancer subjects. The underlying uptake mechanism correlated with [11C]-acetate influx and efflux measured in real-time in vitro in cell culture.Methods: Twenty-one patients with newly diagnosed low-to-moderate risk prostate cancer underwent magnetic resonance imaging (MRI) and dynamic [11C]-acetate PET/CT examinations of the pelvis. Parametric images of K1 (extraction × perfusion), k2 (oxidative metabolism) and VT (=K1/k2, anabolic metabolism defined as carbon retention) were constructed using a one-tissue compartment model with an arterial input function derived from pelvic arteries. Regions of interest (ROIs) of the largest cancer lesion in each patient and normal prostate tissue were drawn using information from MRI (T2 and DWI images), biopsy results, and post-surgical histopathology of whole prostate sections (n=7). In vitro kinetics of [11C]-acetate were studied on DU145 andPC3 cell lines using LigandTracer® White equipment for the measurement of the radioactivity uptake in real-time at 37°C.Results: Mean prostate specific antigen (PSA) was 8.33±3.92 ng/mL and median Gleason Sum 6 (range 5-7). K1,VT and standardized uptake values (SUVs) were significantly higher in cancerous prostate tissues compared to normal ones for all patients (p<0.001), while k2 was not (p=0.26). PSA values correlated to early SUVs (r=0.50,p=0.02) and K1 (r=0.48, p=0.03). Early and late SUVs correlated to VT (r>0.76, p<0.001) and K1 (r>0.64,p<0.005). In vitro studies demonstrated higher extraction and retention (p<0.01) of [11C]-acetate in the more aggressive PC3 cells.Conclusion: Parametric images could be used to visualize the [11C]-acetate kinetics of the prostate cancer exhibiting elevated extraction associated with the cancer aggressiveness. The influx rate of [11C]-acetate studied in cell culture also showed dependence on the cancer aggressiveness associated with elevated lipogenesis. Dynamic [11C]-acetate/PET demonstrated potential for prostate cancer aggressiveness estimation using parametric-based K1 and VT values.
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| 7. |
- Röbeck, Pontus, et al.
(författare)
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Multiplex protein analysis and ensemble machine learning methods of fine needle aspirates from prostate cancer patients reveal potential diagnostic signatures associated with tumour grade
- 2023
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Ingår i: Cytopathology. - : Wiley. - 0956-5507 .- 1365-2303. ; 34:4, s. 286-294
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Tidskriftsartikel (refereegranskat)abstract
- Background: Improved molecular diagnosis is needed in prostate cancer (PC). Fine needle aspiration (FNA) is a minimally invasive biopsy technique, less traumatic compared to core needle biopsy, and could be useful for diagnosis of PC. Molecular biomarkers (BMs) in FNA-samples can be assessed for prediction, eg of immunotherapy efficacy before treatment as well as at treatment decision time points during disease progression.Methods: In the present pilot study, the expression levels of 151 BM proteins were analysed by proximity extension assay in FNA-samples from 16 patients, including benign prostate lesions (n = 3) and cancers (n = 13). An ensemble data analysis strategy was applied using several machine learning models.Results: Twelve potentially predictive BM proteins correlating with International Society of Urological Pathology grade groups were identified, among them vimentin, tissue factor pathway inhibitor 2, and integrin beta-5. The validity of the results was supported by network analysis that showed functional associations between most of the identified putative BMs. We also showed that multiple immune checkpoint targets can be assessed (eg PD-L1, CD137, and Galectin-9), which may support the selection of immunotherapy in advanced PC. Results are promising but need further validation in a larger cohort.Conclusions: Our pilot study represents a “proof of concept” and shows that multiplex profiling of potential diagnostic and predictive BM proteins is feasible on tumour material obtained by FNA sampling of prostate cancer. Moreover, our results demonstrate that an ensemble data analysis strategy may facilitate the identification of BM signatures in pilot studies when the patient cohort is limited.
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| 8. |
- Röbeck, Pontus, et al.
(författare)
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P-score in preoperative biopsies accurately predicts P-score in final pathology at radical prostatectomy in patients with localized prostate cancer
- 2023
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Ingår i: The Prostate. - : John Wiley & Sons. - 0270-4137 .- 1097-0045. ; 83:9, s. 831-839
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Prostate cancer (PCa) is a highly heterogeneous, multifocal disease, and identification of clinically significant lesions is challenging, which complicates the choice of adequate treatment. The Prostatype® score (P-score) is intended to guide treatment decisions for newly diagnosed PCa patients based on a three-gene signature (IGFBP3, F3, and VGLL3) and clinicopathological information obtained at diagnosis. This study evaluated association of the P-score measured in preoperative magnetic resonance imaging/transrectal ultrasound fusion-guided core needle biopsies (CNBs) and the P-score measured in radical prostatectomy (RP) specimens of PCa patients. We also evaluated the P-score association with the pathology of RP specimens. Furthermore, concordance of the P-score in paired CNB and RP specimens, as well as in index versus concomitant nonindex tumor foci from the same RP was investigated.METHODS: The study included 100 patients with localized PCa. All patients were diagnosed by CNB and underwent RP between 2015 and 2018. Gene expression was assessed with the Prostatype® real-time quantitative polymerase chain reaction kit and the P-score was calculated. Patients were categorized into three P-score risk groups according to previously defined cutoffs.RESULTS: For 71 patients, sufficient CNB tumor material was available for comparison with the RP specimens. The CNB-based P-score was associated with the pathological T-stage in RP specimens (p = 0.02). Moreover, the CNB-based P-score groups were in substantial agreement with the RP-based P-score groups (weighted κ score: 0.76 [95% confidence interval, 95% CI: 0.60-0.92]; Spearman's rank correlation coefficient r = 0.83 [95% CI: 0.74-0.89]; p < 0.0001). Similarly, the P-score groups based on paired index tumor and concomitant nonindex tumor foci (n = 64) were also in substantial agreement (weighted κ score: 0.74 [95% CI: 0.57-0.91]; r = 0.83 [95% CI: 0.73-0.89], p < 0.0001).CONCLUSIONS: Our findings suggest that the P-score based on preoperative CNB accurately reflects the pathology of the whole tumor, highlighting its value as a decision support tool for newly diagnosed PCa patients.
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| 9. |
- Sharma, Sonia, et al.
(författare)
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A new instrument for assessing work-related body mechanics and strain in the general population
- 2023
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Ingår i: Journal of Pain. - : Elsevier. - 1526-5900 .- 1528-8447. ; 24:2, s. 237-250
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Tidskriftsartikel (refereegranskat)abstract
- Clinical pain is often linked to poor body mechanics, with individuals sometimes presenting multiple painful disorders. Such disorders may be influenced by behaviors that affect the general resiliency and health of the musculoskeletal system. We aimed to develop a self-reported scale using the Malmö Diet and Cancer Study questions on work-related body mechanical exposures. An expert panel identified 41 variables having content validity for musculoskeletal problems. Exploratory factor analysis was conducted on a random selection of 50% of the cohort (n=6,789 adults); the remaining was reserved for confirmatory factor analyses (CFA), item response theory (IRT) item calibration, and differential item functioning investigations. Supported by standard measure development methods and fit criteria, the final unidimensional item bank contains 13 items. Overall CFA statistics (root mean square error of approximation=0.09; comparative fit index=0.96; Tucker-Lewis index=0.96; standardized root mean residuals=0.05) indicated excellent single-factor model fit and appropriateness of IRT modeling and calibration. Expert review and item information values (score-precision) guided selection of an 8-item short form with acceptable score-level reliabilities (≥0.70) for T-scores=39-80+. This measure provides reliable assessment of body mechanics strain in adults and can be useful when evaluating different contributions to musculoskeletal problems affecting pain-treatment success in future clinical research. Perspective: This article presents the development and psychometric properties of a new measure, "Work-related Body Mechanics and Strain Scale (WR-BMSS)." The scale has 13-items or alternatively an 8-item short form. This measure could potentially help clinicians who seek to assess how musculoskeletal problems may contribute to patient pain and disability.
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| 10. |
- Söderdahl, Fabian, et al.
(författare)
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A Novel Risk Score (P-score) Based on a Three-Gene Signature, for Estimating the Risk of Prostate Cancer-Specific Mortality
- 2022
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Ingår i: Research and Reports in Urology. - 2253-2447. ; 14, s. 203-217
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: To develop and validate a risk score (P-score) algorithm which includes previously described three-gene signature and clinicopathological parameters to predict the risk of death from prostate cancer (PCa) in a retrospective cohort.Patients and Methods: A total of 591 PCa patients diagnosed between 2003 and 2008 in Stockholm, Sweden, with a median clinical follow-up time of 7.6 years (1– 11 years) were included in this study. Expression of a three-gene signature (IGFBP3, F3, VGLL3) was measured in formalin-fixed paraffin-embedded material from diagnostic core needle biopsies (CNB) of these patients. A point-based scoring system based on a Fine-Gray competing risk model was used to establish the P-score based on the three-gene signature combined with PSA value, Gleason score and tumor stage at diagnosis. The endpoint was PCa-specific mortality, while other causes of death were treated as a competing risk. Out of the 591 patients, 315 patients (estimation cohort) were selected to develop the P-score. The P-score was subsequently validated in an independent validation cohort of 276 patients.Results: The P-score was established ranging from the integers 0 to 15. Each one-unit increase was associated with a hazard ratio of 1.39 (95% confidence interval: 1.27– 1.51, p < 0.001). The P-score was validated and performed better in predicting PCa-specific mortality than both D’Amico (0.76 vs 0.70) and NCCN (0.76 vs 0.71) by using the concordance index for competing risk. Similar improvement patterns are shown by time-dependent area under the curve. As demonstrated by cumulative incidence function, both P-score and gene signature stratified PCa patients into significantly different risk groups.Conclusion: We developed the P-score, a risk stratification system for newly diagnosed PCa patients by integrating a three-gene signature measured in CNB tissue. The P-score could provide valuable decision support to distinguish PCa patients with favorable and unfavorable outcomes and hence improve treatment decisions.
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