@article{SolimandoBittrichShahinietal.2023, author = {Solimando, Antonio G. and Bittrich, Max and Shahini, Endrit and Albanese, Federica and Fritz, Georg and Krebs, Markus}, title = {Determinants of COVID-19 disease severity - lessons from primary and secondary immune disorders including cancer}, series = {International Journal of Molecular Sciences}, volume = {24}, journal = {International Journal of Molecular Sciences}, number = {10}, issn = {1422-0067}, doi = {10.3390/ijms24108746}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-319412}, year = {2023}, abstract = {At the beginning of the COVID-19 pandemic, patients with primary and secondary immune disorders — including patients suffering from cancer — were generally regarded as a high-risk population in terms of COVID-19 disease severity and mortality. By now, scientific evidence indicates that there is substantial heterogeneity regarding the vulnerability towards COVID-19 in patients with immune disorders. In this review, we aimed to summarize the current knowledge about the effect of coexistent immune disorders on COVID-19 disease severity and vaccination response. In this context, we also regarded cancer as a secondary immune disorder. While patients with hematological malignancies displayed lower seroconversion rates after vaccination in some studies, a majority of cancer patients' risk factors for severe COVID-19 disease were either inherent (such as metastatic or progressive disease) or comparable to the general population (age, male gender and comorbidities such as kidney or liver disease). A deeper understanding is needed to better define patient subgroups at a higher risk for severe COVID-19 disease courses. At the same time, immune disorders as functional disease models offer further insights into the role of specific immune cells and cytokines when orchestrating the immune response towards SARS-CoV-2 infection. Longitudinal serological studies are urgently needed to determine the extent and the duration of SARS-CoV-2 immunity in the general population, as well as immune-compromised and oncological patients.}, language = {en} } @article{CerezoEchevarriaKehlBeitzingeretal.2023, author = {Cerezo-Echevarria, Argi{\~n}e and Kehl, Alexandra and Beitzinger, Christoph and M{\"u}ller, Tobias and Klopfleisch, Robert and Aupperle-Lellbach, Heike}, title = {Evaluating the histologic grade of digital squamous cell carcinomas in dogs and copy number variation of KIT Ligand — a correlation study}, series = {Veterinary Sciences}, volume = {10}, journal = {Veterinary Sciences}, number = {2}, issn = {2306-7381}, doi = {10.3390/vetsci10020088}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-304824}, year = {2023}, abstract = {Dark-haired dogs are predisposed to the development of digital squamous cell carcinoma (DSCC). This may potentially suggest an underlying genetic predisposition not yet completely elucidated. Some authors have suggested a potential correlation between the number of copies KIT Ligand (KITLG) and the predisposition of dogs to DSCC, containing a higher number of copies in those affected by the neoplasm. In this study, the aim was to evaluate a potential correlation between the number of copies of the KITLG and the histological grade of malignancy in dogs with DSCC. For this, 72 paraffin-embedded DSCCs with paired whole blood samples of 70 different dogs were included and grouped according to their haircoat color as follow: Group 0/unknown haircoat color (n = 11); Group 1.a/black non-Schnauzers (n = 15); group 1.b/black Schnauzers (n = 33); group 1.c/black and tan dogs (n = 7); group 2/tan animals (n = 4). The DSCCs were histologically graded. Additionally, KITLG Copy Number Variation (CNV) was determined by ddPCR. A significant correlation was observed between KITLG copy number and the histological grade and score value. This finding may suggest a possible factor for the development of canine DSCC, thus potentially having an impact on personalized veterinary oncological strategies and breeding programs.}, language = {en} } @article{SchlechtNeubertMengetal.2023, author = {Schlecht, Sina and Neubert, Sven and Meng, Karin and Rabe, Antonia and Jentschke, Elisabeth}, title = {Changes of symptoms of anxiety, depression, and fatigue in cancer patients 3 months after a video-based intervention}, series = {International journal of environmental research and public health}, volume = {20}, journal = {International journal of environmental research and public health}, number = {20}, doi = {10.3390/ijerph20206933}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357294}, year = {2023}, abstract = {During the COVID-19 pandemic, social distancing restricted psycho-oncological care. Therefore, this secondary analysis examines the changes in anxiety, fear of progression, fatigue, and depression in cancer patients after a video-based eHealth intervention. We used a prospective observational design with 155 cancer patients with mixed tumor entities. Data were assessed before and after the intervention and at a three-month follow-up using self-reported questionnaires (GAD-7, FOP-Q-SF, PHQ-8, and EORTC QLQ-FA12). The eight videos included psychoeducation, Acceptance and Commitment Therapy elements, and yoga and qigong exercises. The results showed that three months after finishing the video-based intervention, participants showed significantly reduced fear of progression (d = -0.23), depression (d = -0.27), and fatigue (d = -0.24) compared to the baseline. However, there was no change in anxiety (d = -0.09). Findings indicated marginal improvements in mental distress when using video-based intervention for cancer patients for up to three months, but long-term effectiveness must be confirmed using a controlled design.}, language = {en} } @article{VollmerNaglerHoerneretal.2023, author = {Vollmer, Andreas and Nagler, Simon and H{\"o}rner, Marius and Hartmann, Stefan and Brands, Roman C. and Breitenb{\"u}cher, Niko and Straub, Anton and K{\"u}bler, Alexander and Vollmer, Michael and Gubik, Sebastian and Lang, Gernot and Wollborn, Jakob and Saravi, Babak}, title = {Performance of artificial intelligence-based algorithms to predict prolonged length of stay after head and neck cancer surgery}, series = {Heliyon}, volume = {9}, journal = {Heliyon}, number = {11}, issn = {2405-8440}, doi = {10.1016/j.heliyon.2023.e20752}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-350416}, year = {2023}, abstract = {Background Medical resource management can be improved by assessing the likelihood of prolonged length of stay (LOS) for head and neck cancer surgery patients. The objective of this study was to develop predictive models that could be used to determine whether a patient's LOS after cancer surgery falls within the normal range of the cohort. Methods We conducted a retrospective analysis of a dataset consisting of 300 consecutive patients who underwent head and neck cancer surgery between 2017 and 2022 at a single university medical center. Prolonged LOS was defined as LOS exceeding the 75th percentile of the cohort. Feature importance analysis was performed to evaluate the most important predictors for prolonged LOS. We then constructed 7 machine learning and deep learning algorithms for the prediction modeling of prolonged LOS. Results The algorithms reached accuracy values of 75.40 (radial basis function neural network) to 97.92 (Random Trees) for the training set and 64.90 (multilayer perceptron neural network) to 84.14 (Random Trees) for the testing set. The leading parameters predicting prolonged LOS were operation time, ischemia time, the graft used, the ASA score, the intensive care stay, and the pathological stages. The results revealed that patients who had a higher number of harvested lymph nodes (LN) had a lower probability of recurrence but also a greater LOS. However, patients with prolonged LOS were also at greater risk of recurrence, particularly when fewer (LN) were extracted. Further, LOS was more strongly correlated with the overall number of extracted lymph nodes than with the number of positive lymph nodes or the ratio of positive to overall extracted lymph nodes, indicating that particularly unnecessary lymph node extraction might be associated with prolonged LOS. Conclusions The results emphasize the need for a closer follow-up of patients who experience prolonged LOS. Prospective trials are warranted to validate the present results.}, language = {en} } @article{AscheidBaumannFunkeetal.2023, author = {Ascheid, David and Baumann, Magdalena and Funke, Caroline and Volz, Julia and Pinnecker, J{\"u}rgen and Friedrich, Mike and H{\"o}hn, Marie and Nandigama, Rajender and Erg{\"u}n, S{\"u}leyman and Nieswandt, Bernhard and Heinze, Katrin G. and Henke, Erik}, title = {Image-based modeling of vascular organization to evaluate anti-angiogenic therapy}, series = {Biology Direct}, volume = {18}, journal = {Biology Direct}, doi = {10.1186/s13062-023-00365-x}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357242}, year = {2023}, abstract = {In tumor therapy anti-angiogenic approaches have the potential to increase the efficacy of a wide variety of subsequently or co-administered agents, possibly by improving or normalizing the defective tumor vasculature. Successful implementation of the concept of vascular normalization under anti-angiogenic therapy, however, mandates a detailed understanding of key characteristics and a respective scoring metric that defines an improved vasculature and thus a successful attempt. Here, we show that beyond commonly used parameters such as vessel patency and maturation, anti-angiogenic approaches largely benefit if the complex vascular network with its vessel interconnections is both qualitatively and quantitatively assessed. To gain such deeper insight the organization of vascular networks, we introduce a multi-parametric evaluation of high-resolution angiographic images based on light-sheet fluorescence microscopy images of tumors. We first could pinpoint key correlations between vessel length, straightness and diameter to describe the regular, functional and organized structure observed under physiological conditions. We found that vascular networks from experimental tumors diverted from those in healthy organs, demonstrating the dysfunctionality of the tumor vasculature not only on the level of the individual vessel but also in terms of inadequate organization into larger structures. These parameters proofed effective in scoring the degree of disorganization in different tumor entities, and more importantly in grading a potential reversal under treatment with therapeutic agents. The presented vascular network analysis will support vascular normalization assessment and future optimization of anti-angiogenic therapy.}, language = {en} } @article{GoetzRueckschlossBalketal.2023, author = {G{\"o}tz, Lisa and Rueckschloss, Uwe and Balk, G{\"o}zde and Pfeiffer, Verena and Erg{\"u}n, S{\"u}leyman and Kleefeldt, Florian}, title = {The role of carcinoembryonic antigen-related cell adhesion molecule 1 in cancer}, series = {Frontiers in Immunology}, volume = {14}, journal = {Frontiers in Immunology}, doi = {10.3389/fimmu.2023.1295232}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357250}, year = {2023}, abstract = {The Carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1), also known as CD66a, is a member of the immunoglobulin superfamily. CEACAM1 was shown to be a prognostic marker in patients suffering from cancer. In this review, we summarize pre-clinical and clinical evidence linking CEACAM1 to tumorigenicity and cancer progression. Furthermore, we discuss potential CEACAM1-based mechanisms that may affect cancer biology.}, language = {en} } @article{MamontovaTrifaultBurger2022, author = {Mamontova, Victoria and Trifault, Barbara and Burger, Kaspar}, title = {Compartment-specific proximity ligation expands the toolbox to assess the interactome of the long non-coding RNA NEAT1}, series = {International Journal of Molecular Sciences}, volume = {23}, journal = {International Journal of Molecular Sciences}, number = {8}, issn = {1422-0067}, doi = {10.3390/ijms23084432}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-284185}, year = {2022}, abstract = {The nuclear paraspeckle assembly transcript 1 (NEAT1) locus encodes two long non-coding (lnc)RNA isoforms that are upregulated in many tumours and dynamically expressed in response to stress. NEAT1 transcripts form ribonucleoprotein complexes with numerous RNA-binding proteins (RBPs) to assemble paraspeckles and modulate the localisation and activity of gene regulatory enzymes as well as a subset of messenger (m)RNA transcripts. The investigation of the dynamic composition of NEAT1-associated proteins and mRNAs is critical to understand the function of NEAT1. Interestingly, a growing number of biochemical and genetic tools to assess NEAT1 interactomes has been reported. Here, we discuss the Hybridisation Proximity (HyPro) labeling technique in the context of NEAT1. HyPro labeling is a recently developed method to detect spatially ordered interactions of RNA-containing nuclear compartments in cultured human cells. After introducing NEAT1 and paraspeckles, we describe the advantages of the HyPro technology in the context of other methods to study RNA interactomes, and review the key findings in mapping NEAT1-associated RNA transcripts and protein binding partners. We further discuss the limitations and potential improvements of HyPro labeling, and conclude by delineating its applicability in paraspeckles-related cancer research.}, language = {en} } @article{LorenzRosner2022, author = {Lorenz, Kristina and Rosner, Marsha Rich}, title = {Harnessing RKIP to combat heart disease and cancer}, series = {Cancers}, volume = {14}, journal = {Cancers}, number = {4}, issn = {2072-6694}, doi = {10.3390/cancers14040867}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-262185}, year = {2022}, abstract = {Cancer and heart disease are leading causes of morbidity and mortality worldwide. These diseases have common risk factors, common molecular signaling pathways that are central to their pathogenesis, and even some disease phenotypes that are interdependent. Thus, a detailed understanding of common regulators is critical for the development of new and synergistic therapeutic strategies. The Raf kinase inhibitory protein (RKIP) is a regulator of the cellular kinome that functions to maintain cellular robustness and prevent the progression of diseases including heart disease and cancer. Two of the key signaling pathways controlled by RKIP are the β-adrenergic receptor (βAR) signaling to protein kinase A (PKA), particularly in the heart, and the MAP kinase cascade Raf/MEK/ERK1/2 that regulates multiple diseases. The goal of this review is to discuss how we can leverage RKIP to suppress cancer without incurring deleterious effects on the heart. Specifically, we discuss: (1) How RKIP functions to either suppress or activate βAR (PKA) and ERK1/2 signaling; (2) How we can prevent cancer-promoting kinase signaling while at the same time avoiding cardiotoxicity.}, language = {en} } @article{GrappEllKiermeieretal.2022, author = {Grapp, Miriam and Ell, Johanna and Kiermeier, Senta and Haun, Markus W. and K{\"u}bler, Andrea and Friederich, Hans-Christoph and Maatouk, Imad}, title = {Feasibility study of a self-guided internet-based intervention for family caregivers of patients with cancer (OAse)}, series = {Scientific Reports}, volume = {12}, journal = {Scientific Reports}, doi = {10.1038/s41598-022-21157-9}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-300537}, year = {2022}, abstract = {Despite high levels of distress, family caregivers of patients with cancer rarely seek psychosocial support and Internet-based interventions (IBIs) are a promising approach to reduce some access barriers. Therefore, we developed a self-guided IBI for family caregivers of patients with cancer (OAse), which, in addition to patients' spouses, also addresses other family members (e.g., adult children, parents). This study aimed to determine the feasibility of OAse (recruitment, dropout, adherence, participant satisfaction). Secondary outcomes were caregivers' self-efficacy, emotional state, and supportive care needs. N = 41 family caregivers participated in the study (female: 65\%), mostly spouses (71\%), followed by children (20\%), parents (7\%), and friends (2\%). Recruitment (47\%), retention (68\%), and adherence rates (76\% completed at least 4 of 6 lessons) support the feasibility of OAse. Overall, the results showed a high degree of overall participant satisfaction (96\%). There were no significant pre-post differences in secondary outcome criteria, but a trend toward improvement in managing difficult interactions/emotions (p = .06) and depression/anxiety (p = .06). Although the efficacy of the intervention remains to be investigated, our results suggest that OAse can be well implemented in caregivers' daily lives and has the potential to improve family caregivers' coping strategies.}, language = {en} } @article{MarquardtKollmannsbergerKrebsetal.2022, author = {Marquardt, Andr{\´e} and Kollmannsberger, Philip and Krebs, Markus and Argentiero, Antonella and Knott, Markus and Solimando, Antonio Giovanni and Kerscher, Alexander Georg}, title = {Visual clustering of transcriptomic data from primary and metastatic tumors — dependencies and novel pitfalls}, series = {Genes}, volume = {13}, journal = {Genes}, number = {8}, issn = {2073-4425}, doi = {10.3390/genes13081335}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-281872}, year = {2022}, abstract = {Personalized oncology is a rapidly evolving area and offers cancer patients therapy options that are more specific than ever. However, there is still a lack of understanding regarding transcriptomic similarities or differences of metastases and corresponding primary sites. Applying two unsupervised dimension reduction methods (t-Distributed Stochastic Neighbor Embedding (t-SNE) and Uniform Manifold Approximation and Projection (UMAP)) on three datasets of metastases (n = 682 samples) with three different data transformations (unprocessed, log10 as well as log10 + 1 transformed values), we visualized potential underlying clusters. Additionally, we analyzed two datasets (n = 616 samples) containing metastases and primary tumors of one entity, to point out potential familiarities. Using these methods, no tight link between the site of resection and cluster formation outcome could be demonstrated, or for datasets consisting of solely metastasis or mixed datasets. Instead, dimension reduction methods and data transformation significantly impacted visual clustering results. Our findings strongly suggest data transformation to be considered as another key element in the interpretation of visual clustering approaches along with initialization and different parameters. Furthermore, the results highlight the need for a more thorough examination of parameters used in the analysis of clusters.}, language = {en} }