ORCID Profile
0000-0002-9472-8099
Current Organisations
Aarhus University
,
Aarhus Universitet Health
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Publisher: Elsevier BV
Date: 2007
DOI: 10.1016/J.YGYNO.2006.07.015
Abstract: The Epidermal Growth Factor (EGF) system is expressed in healthy premenopausal endometrium. We describe the expression of the four receptors, HER1, HER2, HER3, HER4 and the six ligands hiregulin, transforming growth factor alpha (TGF-alpha), heparin binding EGF like growth factor (HB-EGF), betacellulin, epiregulin and EGF in endometrioid endometrial cancer. We have uterine s les from 45 women with endometrioid endometrial cancer. As normal counterparts, endometrial s les from thirteen postmenopausal women, and previous data on fourteen premenopausal women were employed. Extracted RNA was analyzed by real-time PCR the receptors and ligands were localized by immunohistochemistry. Three receptors (HER1, HER2 and HER4) and two detectable ligands (TGF-alpha and HB-EGF) are expressed significantly higher in endometrial cancer than in healthy postmenopausal endometrium. Cancer tissue show significantly lower expression of HER1 and HER3, and higher expression of HER4, hiregulin, TGF-alpha and HB-EGF compared to premenopausal endometrium no difference is seen in HER2. EGF is undetectable in all of the s les. Immunohistochemically the receptors locate to the epithelium and/or glands while the ligands locate to the stroma ( hiregulin), the stroma and the epithelium (TGF-alpha, epiregulin), the epithelium (betacellulin) or are not detectable (HB-EGF, EGF). mRNA of all receptors and five ligands are present in endometrioid endometrial cancer, and the protein of all receptors and four ligands are identified by immunohistochemistry. The expression pattern in endometrioid endometrial cancer differs from the pattern in pre- and postmenopausal endometrium. The most remarkable finding is an increased level of HER4, a receptor which correlates to a favorable prognosis in other types of cancers.
Publisher: S. Karger AG
Date: 06-11-2008
DOI: 10.1159/000167798
Abstract: i Background: /i The epidermal growth factor (EGF) system comprises four receptors, HER1–4, and several ligands, and is cyclically expressed in endometrium from healthy fertile women. Our aim is to identify differences in expression of the EGF system between endometriotic and normal endometrium. i Methods: /i We previously examined the EGF system in endometrial s les from healthy women (n = 14). Here we examine s les from endometrium (n = 23), endometriomas (n = 10) and peritoneal endometriosis (n = 9) from women with endometriosis (n = 23). mRNA expression of receptors and ligands from the EGF system was analyzed by real-time PCR, and proteins were localized by immunohistochemistry. i Results: /i Endometrial mRNA for HER1–3 was high compared with our previous findings in healthy endometrium, whereas HER4 and the ligands were unchanged. Endometriomas show lower expression of HER1–3 and no HER4 expression. Significant differences were demonstrated in late secretory phase for HER1 and HER2 and in the proliferative phase for HER3 compared to healthy women. Immunohistochemically, HER2 was identified in all s les, predominately in glands and surface epithelium. In a few glands, HER2 was in both cytoplasm and cell membrane. i Conclusion: /i We report quantitative and qualitative differences in the EGF system in endometriotic eutopic endometrium compared to endometrium from healthy in iduals.
Publisher: MDPI AG
Date: 30-05-2020
Abstract: Purpose: Checkpoint inhibitors have significantly improved treatment of metastatic melanoma. However, 40–60% of patients do not respond to therapy, emphasizing the need for better predictive biomarkers for treatment response to immune checkpoint inhibitors. Prorammed death-ligand 1(PD-L1) expression in tumor cells is currently used as a predictive biomarker however, it lacks specificity. Therefore, it is of utmost importance to identify other novel biomarkers that can predict treatment outcome. Experimental design: We studied a small cohort of 16 patients with advanced-stage melanoma treated with first-line checkpoint inhibitors. Plasma s les were collected prior to treatment initiation and continuously during the first year of treatment. Circulating tumor DNA (ctDNA) level and the expression of ten inflammatory cytokines were analyzed. Results: We found that the ctDNA-level in a blood s le collected after 6–8 weeks of therapy is predictive for response to checkpoint inhibitors. Patients with undetectable ctDNA had significantly longer progression-free survival (PFS) compared with patients with detectable ctDNA (median 26.3 vs. 2.1 months, p = 0.006). In parallel, we identified that high levels of the cytokines monocyte chemoattractant protein 1 (MCP1) and tumor necrosis factor α(TNFα) in baseline blood s les were significantly associated with longer PFS compared to low level of these cytokines (median not reached vs. 8.2 months p = 0.0008). Conclusions: These findings suggest that the levels of ctDNA, MCP1, and TNFα in baseline and early follow-up s les can predict disease progression in metastatic melanoma patients treated with checkpoint inhibitors. Potentially, these minimally invasive biomarkers may identify responders from non-responders.
Publisher: MDPI AG
Date: 09-07-2022
Abstract: Background: Checkpoint inhibitors have revolutionized the treatment of metastatic melanoma, yielding long-term survival in a considerable proportion of the patients. Yet, 40–60% of patients do not achieve a long-term benefit from such therapy, emphasizing the urgent need to identify biomarkers that can predict response to immunotherapy and guide patients for the best possible treatment. Here, we exploited an unsupervised machine learning approach to identify potential inflammatory cytokine signatures from liquid biopsies, which could predict response to immunotherapy in melanoma. Methods: We studied a cohort of 77 patients diagnosed with unresectable advanced-stage melanoma undergoing treatment with first-line nivolumab plus ipilimumab or pembrolizumab. Baseline and on-treatment plasma s les were tested for levels of PD-1, PD-L1, IFNγ, IFNβ, CCL20, CXCL5, CXCL10, IL6, IL8, IL10, MCP1, and TNFα and analyzed by Uniform Manifold Approximation and Projection (UMAP) dimension reduction method and k-means clustering analysis. Results: Interestingly, using UMAP analysis, we found that treatment-induced cytokine changes measured as a ratio between baseline and on-treatment s les correlated significantly to progression-free survival (PFS). For patients treated with nivolumab plus ipilimumab we identified a group of patients with superior PFS that were characterized by significantly higher baseline-to-on-treatment increments of PD-1, PD-L1, IFNγ, IL10, CXCL10, and TNFα compared to patients with worse PFS. Particularly, a high PD-1 increment was a strong in idual predictor for superior PFS (HR = 0.13 95% CI 0.034–0.49 p = 0.0026). In contrast, decreasing levels of IFNγ and IL6 and increasing levels of CXCL5 were associated with superior PFS in the pembrolizumab group, although none of the cytokines were in idually predictors for PFS. Conclusions: In short, our study demonstrates that a high increment of PD-1 is associated with superior PFS in advanced-stage melanoma patients treated with nivolumab plus ipilimumab. In contrast, decreasing levels of IFNγ and IL6, and increasing levels of CXCL5 are associated with response to pembrolizumab. These results suggest that using serial s les to monitor changes in cytokine levels early during treatment is informative for treatment response.
Publisher: Oxford University Press (OUP)
Date: 08-2005
Abstract: The epidermal growth factor (EGF) system is ubiquitous in humans and plays fundamental roles in embryogenesis, development, proliferation and differentiation. As the endometrium of fertile women is characterized by proliferation and differentiation, we hypothesize a role for the EGF system. Fourteen premenopausal women had endometrial s les removed on day 6 +/- 1 and day 6 +/- 1 and 12 +/- 1 after ovulation during one menstrual cycle. RNA was extracted and analysed by real-time PCR, and immunohistochemistry was performed to localize the components of the EGF system. Human EGF Receptor 1 (HER1) showed highest expression during the proliferative phase, HER2 and HER4 during the early and HER3 during the late secretory phase. Amphiregulin (AR) and transforming growth factor alpha (TGFalpha) expression is highest in proliferative phase. Heparin binding (HB)-EGF and betacellulin (BCL) show no variation. Epiregulin (EP) is detectable in some s les. EGF is undetectable. HER1, HER2, HER3 and HER4 were localized to the epithelium and glands HER3 and HER4 solely in the secretory phase. Amphiregulin was seen in leucocytes and stromal cells, TGFalpha and betacellulin in the epithelial lining, epiregulin in stromal cells whereas HB-EGF and EGF are undetectable. In conclusions, we observed cyclical expression of the four EGF receptors and two ligands and localized all four receptors and four ligands in endometrial biopsies. This suggests a role for the EGF system in growth of the endometrium.
Publisher: AME Publishing Company
Date: 2021
DOI: 10.21037/TLCR-20-524
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 12-06-2023
DOI: 10.1097/CMR.0000000000000903
Abstract: Immunotherapy has revolutionized treatment of patients diagnosed with metastatic melanoma, where nearly half of patients receive clinical benefit. However, immunotherapy is also associated with immune-related adverse events, which may be severe and persistent. It is therefore important to identify patients that do not benefit from therapy early. Currently, regularly scheduled CT scans are used to investigate size changes in target lesions to evaluate progression and therapy response. This study aims to explore if panel-based analysis of circulating tumor DNA (ctDNA) taken at 3-week intervals may provide a window into the growing cancer, can be used to identify nonresponding patients early, and determine genomic alterations associated with acquired resistance to checkpoint immunotherapy without analysis of tumor tissue biopsies. We designed a gene panel for ctDNA analysis and sequenced 4–6 serial plasma s les from 24 patients with unresectable stage III or IV melanoma and treated with first-line checkpoint inhibitors enrolled at the Department of Oncology at Aarhus University Hospital, Denmark. TERT was the most mutated gene found in ctDNA and associated with a poor prognosis. We detected more ctDNA in patients with high metastatic load, which indicates that more aggressive tumors release more ctDNA into the bloodstream. Although we did not find evidence of specific mutations associated with acquired resistance, we did demonstrate in this limited cohort of 24 patients that untargeted, panel-based ctDNA analysis has the potential to be used as a minimally invasive tool in clinical practice to identify patients where the benefits of immunotherapy outweigh the drawbacks.
No related grants have been discovered for Boe Sorensen.