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- Herrera, M, et al.
(author)
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Prognostic Interactions between FAP+ Fibroblasts and CD8a+ T Cells in Colon Cancer
- 2020
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In: Cancers. - : MDPI AG. - 2072-6694. ; 12:11
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Journal article (peer-reviewed)abstract
- Inter-case variations in immune cell and fibroblast composition are associated with prognosis in solid tumors, including colon cancer. A series of experimental studies suggest immune-modulatory roles of marker-defined fibroblast populations, including FAP-positive fibroblasts. These studies imply that the fibroblast status of tumors might affect the prognostic significance of immune-related features. Analyses of a population-based colon cancer cohort demonstrated good prognosis associations of FAP intensity and CD8a density. Notably, a significant prognostic interaction was detected between these markers (p = 0.013 in nonadjusted analyses and p = 0.003 in analyses adjusted for cofounding factors) in a manner where the good prognosis association of CD8 density was restricted to the FAP intensity-high group. This prognostic interaction was also detected in an independent randomized trial-derived colon cancer cohort (p = 0.048 in nonadjusted analyses). In the CD8-high group, FAP intensity was significantly associated with a higher total tumor density of FoxP3-positive immune cells and a higher ratio of epithelial-to-stromal density of CD8a T cells. The study presents findings relevant for the ongoing efforts to improve the prognostic performance of CD8-related markers and should be followed by additional validation studies. Furthermore, findings support, in general, earlier model-derived studies implying fibroblast subsets as clinically relevant modulators of immune surveillance. Finally, the associations between FAP intensity and specific immune features suggest mechanisms of fibroblast-immune crosstalk with therapeutic potential.
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- Sjoblom, A, et al.
(author)
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The Role of Human Chorionic Gonadotropin Beta (hCGβ) in HPV-Positive and HPV-Negative Oropharyngeal Squamous Cell Carcinoma
- 2022
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In: Cancers. - : MDPI AG. - 2072-6694. ; 14:12
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Journal article (peer-reviewed)abstract
- Background: This study was carried out to observe the upregulation of the free β-subunit of human chorionic gonadotropin (hCGβ) and its prognostic significance in human papillomavirus (HPV)-positive and HPV-negative oropharyngeal squamous cell carcinoma (OPSCC). Materials and methods: A total of 90 patients with OPSCC treated with curative intent at the Helsinki University Hospital (HUS), Helsinki, Finland, during 2012–2016 were included. Serum samples were collected prospectively, and their hCGβ concentrations (S-hCGβ) were determined by an immunofluorometric assay. The expression of hCGβ in tumor tissues was defined by immunohistochemistry (IHC). HPV determination was performed by combining p16-INK4 IHC and HPV DNA PCR genotyping. Overall survival (OS) and disease-specific survival (DSS) were used as survival endpoints. Results: S-hCGβ positivity correlated with poor OS in the whole patient cohort (p < 0.001) and in patients with HPV-negative OPSCC (p < 0.001). A significant correlation was seen between S-hCGβ and poor DSS in the whole cohort (p < 0.001) and in patients with HPV-negative OPSCC (p = 0.007). In a multivariable analysis, S-hCGβ was associated with poor DSS. Of the clinical characteristics, higher cancer stage and grade were associated with S-hCGβ positivity. No statistically significant correlation with tissue positivity of hCGβ was seen in these analyses. Conclusion: S-hCGβ may be a potential independent factor indicating poor prognosis, notably in HPV-negative OPSCC.
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- Sjoblom, A, et al.
(author)
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Tumor-Associated Trypsin Inhibitor (TATI) as a Biomarker of Poor Prognosis in Oropharyngeal Squamous Cell Carcinoma Irrespective of HPV Status
- 2021
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In: Cancers. - : MDPI AG. - 2072-6694. ; 13:11
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Journal article (peer-reviewed)abstract
- Background: We studied the role of tumor-associated trypsin inhibitor (TATI) in serum and in tumor tissues among human papillomavirus (HPV)-positive and HPV-negative OPSCC patients. Materials and methods: The study cohort included 90 OPSCC patients treated at the Helsinki University Hospital (HUS), Helsinki, Finland, in 2012–2016. TATI serum concentrations (S-TATIs) were determined by an immunofluorometric assay. Immunostaining was used to assess tissue expression. HPV status was determined with a combination of p16 immunohistochemistry and HPV DNA PCR genotyping. The survival endpoints were overall survival (OS) and disease-specific survival (DSS). Results: A significant correlation was found between S-TATI positivity and poor OS (p < 0.001) and DSS (p = 0.04) in all patients. In HPV-negative cases, S-TATI positivity was linked to poor OS (p = 0.01) and DSS (p = 0.05). In HPV-positive disease, S-TATI positivity correlated with poor DSS (p = 0.01). S-TATI positivity was strongly associated with HPV negativity. TATI serum was negatively linked to a lower cancer stage. TATI expression in peritumoral lymphocytes was associated with favorable OS (p < 0.025) and HPV positivity. TATI expression in tumor and in peritumoral lymphocytes correlated with lower cancer stages. Conclusion: Our results suggest that S-TATI positivity may be a biomarker of poor prognosis in both HPV-positive and HPV-negative OPSCC.
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- Sjoblom, J, et al.
(author)
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Emulsions characterized by means of time domain dielectric measurements (TDS). Technical applications
- 1999
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In: JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY. - : MARCEL DEKKER INC. - 0193-2691. ; 20:3, s. 921-943
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Journal article (other academic/artistic)abstract
- The authors have in previous contributions determined dielectric properties of W/O-emulsions by applying the Time Domain Dielectric Spectroscopy technique. The main findings are summarized here. The influence of droplet shape and flocculation on the diele
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- Svenningsson, A., et al.
(author)
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Safety and efficacy of rituximab versus dimethyl fumarate in patients with relapsing-remitting multiple sclerosis or clinically isolated syndrome in Sweden: a rater-blinded, phase 3, randomised controlled trial
- 2022
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In: Lancet Neurology. - : Elsevier BV. - 1474-4422. ; 21:8, s. 693-703
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Journal article (peer-reviewed)abstract
- Background B-cell depleting therapies are highly efficacious in relapsing-remitting multiple sclerosis but one such therapy, rituximab, is not approved for multiple sclerosis and no phase 3 trial data are available. We therefore examined the safety and efficacy of rituximab compared with dimethyl fumarate in patients with relapsing-remitting multiple sclerosis to obtain data that might allow inclusion of rituximab in treatment guidelines. Methods RIFUND-MS was a multicentre, rater-blinded, active-comparator, phase 3, randomised controlled trial done at 17 Swedish university and community hospitals. Key inclusion criteria for participants were: age 18-50 years; relapsing-remitting multiple sclerosis or clinically isolated syndrome according to prevailing McDonald criteria; 10 years or less since diagnosis; untreated or only exposed to interferons or glatiramer acetate; and with clinical or neuroradiological disease activity in the past year. Patients were automatically randomly assigned (1:1) by the treating physician using a randomisation module in the Swedish multiple sclerosis registry, without stratification, to oral dimethyl fumarate 240 mg twice daily or to intravenous rituximab 1000 mg followed by 500 mg every 6 months. Relapse evaluation, Expanded Disability Status Scale rating, and assessment of MRI scans were done by examining physicians and radiologists masked to treatment allocation. The primary outcome was the proportion of patients with at least one relapse (defined as subacute onset of new or worsening neurological symptoms compatible with multiple sclerosis with a duration of more than 24 h and preceded by at least 30 days of clinical stability), assessed in an intention-to-treat analysis using log-binomial regression with robust standard errors. This trial is registered at ClinicalTrials.gov, NCT02746744. Findings Between July 1, 2016, and Dec 18, 2018, 322 patients were screened for eligibility, 200 of whom were randomly assigned to a treatment group (100 assigned to rituximab and 100 assigned to dimethyl fumarate). The last patient completed 24-month follow-up on April 21, 2021. 98 patients in the rituximab group and 97 patients in the dimethyl fumarate group were eligible for the primary outcome analysis. Three (3%) patients in the rituximab group and 16 (16%) patients in the dimethyl fumarate group had a protocol-defined relapse during the trial, corresponding to a risk ratio of 0.19 (95% CI 0.06-0.62; p=0.0060). Infusion reactions (105 events [40.9 per 100 patient-years]) in the rituximab group and gastrointestinal reactions (65 events [47.4 per 100 patient-years]) and flush (65 events [47.4 per 100 patient-years]) in the dimethyl fumarate group were the most prevalent adverse events. There were no safety concerns. Interpretation RIFUND-MS provides evidence that rituximab given as 1000 mg followed by 500 mg every 6 months is superior to dimethyl fumarate in preventing relapses over 24 months in patients with early relapsing-remitting multiple sclerosis. Health economic and long-term safety studies of rituximab in patients with multiple sclerosis are needed.
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| 32. |
- Yacob, F., et al.
(author)
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Weakly supervised detection and classification of basal cell carcinoma using graph-transformer on whole slide images
- 2023
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In: Scientific Reports. - 2045-2322. ; 13:1
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Journal article (peer-reviewed)abstract
- The high incidence rates of basal cell carcinoma (BCC) cause a significant burden at pathology laboratories. The standard diagnostic process is time-consuming and prone to inter-pathologist variability. Despite the application of deep learning approaches in grading of other cancer types, there is limited literature on the application of vision transformers to BCC on whole slide images (WSIs). A total of 1832 WSIs from 479 BCCs, divided into training and validation (1435 WSIs from 369 BCCs) and testing (397 WSIs from 110 BCCs) sets, were weakly annotated into four aggressivity subtypes. We used a combination of a graph neural network and vision transformer to (1) detect the presence of tumor (two classes), (2) classify the tumor into low and high-risk subtypes (three classes), and (3) classify four aggressivity subtypes (five classes). Using an ensemble model comprised of the models from cross-validation, accuracies of 93.5%, 86.4%, and 72% were achieved on two, three, and five class classifications, respectively. These results show high accuracy in both tumor detection and grading of BCCs. The use of automated WSI analysis could increase workflow efficiency.
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