@article{KotlyarKrebsSolimandoetal.2023, author = {Kotlyar, Mischa J. and Krebs, Markus and Solimando, Antonio Giovanni and Marquardt, Andr{\´e} and Burger, Maximilian and K{\"u}bler, Hubert and Bargou, Ralf and Kneitz, Susanne and Otto, Wolfgang and Breyer, Johannes and Vergho, Daniel C. and Kneitz, Burkhard and Kalogirou, Charis}, title = {Critical evaluation of a microRNA-based risk classifier predicting cancer-specific survival in renal cell carcinoma with tumor thrombus of the inferior vena cava}, series = {Cancers}, volume = {15}, journal = {Cancers}, number = {7}, issn = {2072-6694}, doi = {10.3390/cancers15071981}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-311040}, year = {2023}, abstract = {(1) Background: Clear cell renal cell carcinoma extending into the inferior vena cava (ccRCC\(^{IVC}\)) represents a clinical high-risk setting. However, there is substantial heterogeneity within this patient subgroup regarding survival outcomes. Previously, members of our group developed a microRNA(miR)-based risk classifier — containing miR-21-5p, miR-126-3p and miR-221-3p expression — which significantly predicted the cancer-specific survival (CSS) of ccRCC\(^{IVC}\) patients. (2) Methods: Examining a single-center cohort of tumor tissue from n = 56 patients with ccRCC\(^{IVC}\), we measured the expression levels of miR-21, miR-126, and miR-221 using qRT-PCR. The prognostic impact of clinicopathological parameters and miR expression were investigated via single-variable and multivariable Cox regression. Referring to the previously established risk classifier, we performed Kaplan-Meier analyses for single miR expression levels and the combined risk classifier. Cut-off values and weights within the risk classifier were taken from the previous study. (3) Results: miR-21 and miR-126 expression were significantly associated with lymphonodal status at the time of surgery, the development of metastasis during follow-up, and cancer-related death. In Kaplan-Meier analyses, miR-21 and miR-126 significantly impacted CSS in our cohort. Moreover, applying the miR-based risk classifier significantly stratified ccRCC\(^{IVC}\) according to CSS. (4) Conclusions: In our retrospective analysis, we successfully validated the miR-based risk classifier within an independent ccRCC\(^{IVC}\) cohort.}, language = {en} } @article{MarquardtHartrampfKollmannsbergeretal.2023, author = {Marquardt, Andr{\´e} and Hartrampf, Philipp and Kollmannsberger, Philip and Solimando, Antonio G. and Meierjohann, Svenja and K{\"u}bler, Hubert and Bargou, Ralf and Schilling, Bastian and Serfling, Sebastian E. and Buck, Andreas and Werner, Rudolf A. and Lapa, Constantin and Krebs, Markus}, title = {Predicting microenvironment in CXCR4- and FAP-positive solid tumors — a pan-cancer machine learning workflow for theranostic target structures}, series = {Cancers}, volume = {15}, journal = {Cancers}, number = {2}, issn = {2072-6694}, doi = {10.3390/cancers15020392}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-305036}, year = {2023}, abstract = {(1) Background: C-X-C Motif Chemokine Receptor 4 (CXCR4) and Fibroblast Activation Protein Alpha (FAP) are promising theranostic targets. However, it is unclear whether CXCR4 and FAP positivity mark distinct microenvironments, especially in solid tumors. (2) Methods: Using Random Forest (RF) analysis, we searched for entity-independent mRNA and microRNA signatures related to CXCR4 and FAP overexpression in our pan-cancer cohort from The Cancer Genome Atlas (TCGA) database — representing n = 9242 specimens from 29 tumor entities. CXCR4- and FAP-positive samples were assessed via StringDB cluster analysis, EnrichR, Metascape, and Gene Set Enrichment Analysis (GSEA). Findings were validated via correlation analyses in n = 1541 tumor samples. TIMER2.0 analyzed the association of CXCR4 / FAP expression and infiltration levels of immune-related cells. (3) Results: We identified entity-independent CXCR4 and FAP gene signatures representative for the majority of solid cancers. While CXCR4 positivity marked an immune-related microenvironment, FAP overexpression highlighted an angiogenesis-associated niche. TIMER2.0 analysis confirmed characteristic infiltration levels of CD8+ cells for CXCR4-positive tumors and endothelial cells for FAP-positive tumors. (4) Conclusions: CXCR4- and FAP-directed PET imaging could provide a non-invasive decision aid for entity-agnostic treatment of microenvironment in solid malignancies. Moreover, this machine learning workflow can easily be transferred towards other theranostic targets.}, language = {en} } @article{LuekeHallerUtpateletal.2022, author = {L{\"u}ke, Florian and Haller, Florian and Utpatel, Kirsten and Krebs, Markus and Meidenbauer, Norbert and Scheiter, Alexander and Spoerl, Silvia and Heudobler, Daniel and Sparrer, Daniela and Kaiser, Ulrich and Keil, Felix and Schubart, Christoph and T{\"o}gel, Lars and Einhell, Sabine and Dietmaier, Wolfgang and Huss, Ralf and Dintner, Sebastian and Sommer, Sebastian and Jordan, Frank and Goebeler, Maria-Elisabeth and Metz, Michaela and Haake, Diana and Scheytt, Mithun and Gerhard-Hartmann, Elena and Maurus, Katja and Br{\"a}ndlein, Stephanie and Rosenwald, Andreas and Hartmann, Arndt and M{\"a}rkl, Bruno and Einsele, Hermann and Mackensen, Andreas and Herr, Wolfgang and Kunzmann, Volker and Bargou, Ralf and Beckmann, Matthias W. and Pukrop, Tobias and Trepel, Martin and Evert, Matthias and Claus, Rainer and Kerscher, Alexander}, title = {Identification of disparities in personalized cancer care — a joint approach of the German WERA consortium}, series = {Cancers}, volume = {14}, journal = {Cancers}, number = {20}, issn = {2072-6694}, doi = {10.3390/cancers14205040}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-290311}, year = {2022}, abstract = {(1) Background: molecular tumor boards (MTBs) are crucial instruments for discussing and allocating targeted therapies to suitable cancer patients based on genetic findings. Currently, limited evidence is available regarding the regional impact and the outreach component of MTBs; (2) Methods: we analyzed MTB patient data from four neighboring Bavarian tertiary care oncology centers in W{\"u}rzburg, Erlangen, Regensburg, and Augsburg, together constituting the WERA Alliance. Absolute patient numbers and regional distribution across the WERA-wide catchment area were weighted with local population densities; (3) Results: the highest MTB patient numbers were found close to the four cancer centers. However, peaks in absolute patient numbers were also detected in more distant and rural areas. Moreover, weighting absolute numbers with local population density allowed for identifying so-called white spots—regions within our catchment that were relatively underrepresented in WERA MTBs; (4) Conclusions: investigating patient data from four neighboring cancer centers, we comprehensively assessed the regional impact of our MTBs. The results confirmed the success of existing collaborative structures with our regional partners. Additionally, our results help identifying potential white spots in providing precision oncology and help establishing a joint WERA-wide outreach strategy.}, language = {en} } @article{MarquardtSolimandoKerscheretal.2021, author = {Marquardt, Andr{\´e} and Solimando, Antonio Giovanni and Kerscher, Alexander and Bittrich, Max and Kalogirou, Charis and K{\"u}bler, Hubert and Rosenwald, Andreas and Bargou, Ralf and Kollmannsberger, Philip and Schilling, Bastian and Meierjohann, Svenja and Krebs, Markus}, title = {Subgroup-Independent Mapping of Renal Cell Carcinoma — Machine Learning Reveals Prognostic Mitochondrial Gene Signature Beyond Histopathologic Boundaries}, series = {Frontiers in Oncology}, volume = {11}, journal = {Frontiers in Oncology}, issn = {2234-943X}, doi = {10.3389/fonc.2021.621278}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-232107}, year = {2021}, abstract = {Background: Renal cell carcinoma (RCC) is divided into three major histopathologic groups—clear cell (ccRCC), papillary (pRCC) and chromophobe RCC (chRCC). We performed a comprehensive re-analysis of publicly available RCC datasets from the TCGA (The Cancer Genome Atlas) database, thereby combining samples from all three subgroups, for an exploratory transcriptome profiling of RCC subgroups. Materials and Methods: We used FPKM (fragments per kilobase per million) files derived from the ccRCC, pRCC and chRCC cohorts of the TCGA database, representing transcriptomic data of 891 patients. Using principal component analysis, we visualized datasets as t-SNE plot for cluster detection. Clusters were characterized by machine learning, resulting gene signatures were validated by correlation analyses in the TCGA dataset and three external datasets (ICGC RECA-EU, CPTAC-3-Kidney, and GSE157256). Results: Many RCC samples co-clustered according to histopathology. However, a substantial number of samples clustered independently from histopathologic origin (mixed subgroup)—demonstrating divergence between histopathology and transcriptomic data. Further analyses of mixed subgroup via machine learning revealed a predominant mitochondrial gene signature—a trait previously known for chRCC—across all histopathologic subgroups. Additionally, ccRCC samples from mixed subgroup presented an inverse correlation of mitochondrial and angiogenesis-related genes in the TCGA and in three external validation cohorts. Moreover, mixed subgroup affiliation was associated with a highly significant shorter overall survival for patients with ccRCC—and a highly significant longer overall survival for chRCC patients. Conclusions: Pan-RCC clustering according to RNA-sequencing data revealed a distinct histology-independent subgroup characterized by strengthened mitochondrial and weakened angiogenesis-related gene signatures. Moreover, affiliation to mixed subgroup went along with a significantly shorter overall survival for ccRCC and a longer overall survival for chRCC patients. Further research could offer a therapy stratification by specifically addressing the mitochondrial metabolism of such tumors and its microenvironment.}, language = {en} } @article{KunzBommertKruketal.2020, author = {Kunz, Viktoria and Bommert, Kathryn S. and Kruk, Jessica and Schwinning, Daniel and Chatterjee, Manik and St{\"u}hmer, Thorsten and Bargou, Ralf and Bommert, Kurt}, title = {Targeting of the E3 ubiquitin-protein ligase HUWE1 impairs DNA repair capacity and tumor growth in preclinical multiple myeloma models}, series = {Scientific Reports}, volume = {10}, journal = {Scientific Reports}, doi = {10.1038/s41598-020-75499-3}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-230632}, year = {2020}, abstract = {Experimental evidence suggests that ubiquitin-protein ligases regulate a number of cellular processes involved in tumorigenesis. We analysed the role of the E3 ubiquitin-protein ligase HUWE1 for pathobiology of multiple myeloma (MM), a still incurable blood cancer. mRNA expression analysis indicates an increase in HUWE1 expression levels correlated with advanced stages of myeloma. Pharmacologic as well as RNAi-mediated HUWE1 inhibition caused anti-proliferative effects in MM cell lines in vitro and in an MM1.S xenotransplantation mouse model. Cell cycle analysis upon HUWE1 inhibition revealed decreased S phase cell fractions. Analyses of potential HUWE1-dependent molecular functions did not show involvement in MYC-dependent gene regulation. However, HUWE1 depleted MM cells displayed increased DNA tail length by comet assay, as well as changes in the levels of DNA damage response mediators such as pBRCA1, DNA-polymerase beta, gamma H2AX and Mcl-1. Our finding that HUWE1 might thus be involved in endogenous DNA repair is further supported by strongly enhanced apoptotic effects of the DNA-damaging agent melphalan in HUWE1 depleted cells in vitro and in vivo. These data suggest that HUWE1 might contribute to tumour growth by endogenous repair of DNA, and could therefore potentially be exploitable in future treatment developments.}, language = {en} } @article{StanglHaasEichneretal.2020, author = {Stangl, Stephanie and Haas, Kirsten and Eichner, Felizitas A. and Grau, Anna and Selig, Udo and Ludwig, Timo and Fehm, Tanja and St{\"u}bner, Tanja and Rashid, Asarnusch and Kerscher, Alexander and Bargou, Ralf and Hermann, Silke and Arndt, Volker and Meyer, Martin and Wildner, Manfred and Faller, Hermann and Schrauder, Michael G. and Weigel, Michael and Schlembach, Ulrich and Heuschmann, Peter U. and W{\"o}ckel, Achim}, title = {Development and proof-of-concept of a multicenter, patient-centered cancer registry for breast cancer patients with metastatic disease — the "Breast cancer care for patients with metastatic disease" (BRE-4-MED) registry}, series = {Pilot and Feasibility Studies}, volume = {6}, journal = {Pilot and Feasibility Studies}, doi = {10.1186/s40814-019-0541-3}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-229149}, year = {2020}, abstract = {Background: Patients with metastatic breast cancer (MBC) are treated with a palliative approach with focus oncontrolling for disease symptoms and maintaining high quality of life. Information on individual needs of patients andtheir relatives as well as on treatment patterns in clinical routine care for this specific patient group are lacking or arenot routinely documented in established Cancer Registries. Thus, we developed a registry concept specifically adaptedfor these incurable patients comprising primary and secondary data as well as mobile-health (m-health) data. Methods: The concept for patient-centered "Breast cancer care for patients with metastatic disease"(BRE-4-MED)registry was developed and piloted exemplarily in the region of Main-Franconia, a mainly rural region in Germanycomprising about 1.3 M inhabitants. The registry concept includes data on diagnosis, therapy, progression, patient-reported outcome measures (PROMs), and needs of family members from several sources of information includingroutine data from established Cancer Registries in different federal states, treating physicians in hospital as well as inoutpatient settings, patients with metastatic breast cancer and their family members. Linkage with routine cancerregistry data was performed to collect secondary data on diagnosis, therapy, and progression. Paper and online-basedquestionnaires were used to assess PROMs. A dedicated mobile application software (APP) was developed to monitorneeds, progression, and therapy change of individual patients. Patient's acceptance and feasibility of data collection inclinical routine was assessed within a proof-of-concept study. Results: The concept for the BRE-4-MED registry was developed and piloted between September 2017 and May 2018.In total n= 31 patients were included in the pilot study, n= 22 patients were followed up after 1 month. Recordlinkage with the Cancer Registries of Bavaria and Baden-W{\"u}rttemberg demonstrated to be feasible. The voluntary APP/online questionnaire was used by n= 7 participants. The feasibility of the registry concept in clinical routine waspositively evaluated by the participating hospitals. Conclusion: The concept of the BRE-4-MED registry provides evidence that combinatorial evaluation of PROMs, needsof family members, and raising clinical parameters from primary and secondary data sources as well as m-healthapplications are feasible and accepted in an incurable cancer collective.}, language = {en} } @article{KepplerWeissbachLangeretal.2016, author = {Keppler, Sarah and Weißbach, Susann and Langer, Christian and Knop, Stefan and Pischimarov, Jordan and Kull, Miriam and St{\"u}hmer, Thorsten and Steinbrunn, Torsten and Bargou, Ralf and Einsele, Hermann and Rosenwald, Andreas and Leich, Ellen}, title = {Rare SNPs in receptor tyrosine kinases are negative outcome predictors in multiple myeloma}, series = {Oncotarget}, volume = {7}, journal = {Oncotarget}, number = {25}, doi = {10.18632/oncotarget.9607}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-177840}, pages = {38762-38774}, year = {2016}, abstract = {Multiple myeloma (MM) is a plasma cell disorder that is characterized by a great genetic heterogeneity. Recent next generation sequencing studies revealed an accumulation of tumor-associated mutations in receptor tyrosine kinases (RTKs) which may also contribute to the activation of survival pathways in MM. To investigate the clinical role of RTK-mutations in MM, we deep-sequenced the coding DNA-sequence of EGFR, EPHA2, ERBB3, IGF1R, NTRK1 and NTRK2 which were previously found to be mutated in MM, in 75 uniformly treated MM patients of the "Deutsche Studiengruppe Multiples Myelom". Subsequently, we correlated the detected mutations with common cytogenetic alterations and clinical parameters. We identified 11 novel non-synonymous SNVs or rare patient-specific SNPs, not listed in the SNP databases 1000 genomes and dbSNP, in 10 primary MM cases. The mutations predominantly affected the tyrosine-kinase and ligand-binding domains and no correlation with cytogenetic parameters was found. Interestingly, however, patients with RTK-mutations, specifically those with rare patient-specific SNPs, showed a significantly lower overall, event-free and progression-free survival. This indicates that RTK SNVs and rare patient-specific RTK SNPs are of prognostic relevance and suggests that MM patients with RTK-mutations could potentially profit from treatment with RTK-inhibitors.}, language = {en} } @article{KrebsSolimandoKalogirouetal.2020, author = {Krebs, Markus and Solimando, Antonio Giovanni and Kalogirou, Charis and Marquardt, Andr{\´e} and Frank, Torsten and Sokolakis, Ioannis and Hatzichristodoulou, Georgios and Kneitz, Susanne and Bargou, Ralf and K{\"u}bler, Hubert and Schilling, Bastian and Spahn, Martin and Kneitz, Burkhard}, title = {miR-221-3p Regulates VEGFR2 Expression in High-Risk Prostate Cancer and Represents an Escape Mechanism from Sunitinib In Vitro}, series = {Journal of Clinical Medicine}, volume = {9}, journal = {Journal of Clinical Medicine}, number = {3}, issn = {2077-0383}, doi = {10.3390/jcm9030670}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-203168}, year = {2020}, abstract = {Downregulation of miR-221-3p expression in prostate cancer (PCa) predicted overall and cancer-specific survival of high-risk PCa patients. Apart from PCa, miR-221-3p expression levels predicted a response to tyrosine kinase inhibitors (TKI) in clear cell renal cell carcinoma (ccRCC) patients. Since this role of miR-221-3p was explained with a specific targeting of VEGFR2, we examined whether miR-221-3p regulated VEGFR2 in PCa. First, we confirmed VEGFR2/KDR as a target gene of miR-221-3p in PCa cells by applying Luciferase reporter assays and Western blotting experiments. Although VEGFR2 was mainly downregulated in the PCa cohort of the TCGA (The Cancer Genome Atlas) database, VEGFR2 was upregulated in our high-risk PCa cohort (n = 142) and predicted clinical progression. In vitro miR-221-3p acted as an escape mechanism from TKI in PC3 cells, as displayed by proliferation and apoptosis assays. Moreover, we confirmed that Sunitinib induced an interferon-related gene signature in PC3 cells by analyzing external microarray data and by demonstrating a significant upregulation of miR-221-3p/miR-222-3p after Sunitinib exposure. Our findings bear a clinical perspective for high-risk PCa patients with low miR-221-3p levels since this could predict a favorable TKI response. Apart from this therapeutic niche, we identified a partially oncogenic function of miR-221-3p as an escape mechanism from VEGFR2 inhibition.}, language = {en} } @article{EffenbergerBommertKunzetal.2017, author = {Effenberger, Madlen and Bommert, Kathryn S. and Kunz, Viktoria and Kruk, Jessica and Leich, Ellen and Rudelius, Martina and Bargou, Ralf and Bommert, Kurt}, title = {Glutaminase inhibition in multiple myeloma induces apoptosis via MYC degradation}, series = {Oncotarget}, volume = {8}, journal = {Oncotarget}, number = {49}, doi = {10.18632/oncotarget.20691}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-170168}, pages = {85858-85867}, year = {2017}, abstract = {Multiple Myeloma (MM) is an incurable hematological malignancy affecting millions of people worldwide. As in all tumor cells both glucose and more recently glutamine have been identified as important for MM cellular metabolism, however there is some dispute as to the role of glutamine in MM cell survival. Here we show that the small molecule inhibitor compound 968 effectively inhibits glutaminase and that this inhibition induces apoptosis in both human multiple myeloma cell lines (HMCLs) and primary patient material. The HMCL U266 which does not express MYC was insensitive to both glutamine removal and compound 968, but ectopic expression of MYC imparted sensitivity. Finally, we show that glutamine depletion is reflected by rapid loss of MYC protein which is independent of MYC transcription and post translational modifications. However, MYC loss is dependent on proteasomal activity, and this loss was paralleled by an equally rapid induction of apoptosis. These findings are in contrast to those of glucose depletion which largely affected rates of proliferation in HMCLs, but had no effects on either MYC expression or viability. Therefore, inhibition of glutaminolysis is effective at inducing apoptosis and thus serves as a possible therapeutic target in MM.}, language = {en} } @article{WongWinterHartigetal.2014, author = {Wong, David and Winter, Oliver and Hartig, Christina and Siebels, Svenja and Szyska, Martin and Tiburzy, Benjamin and Meng, Lingzhang and Kulkarni, Upasana and F{\"a}hnrich, Anke and Bommert, Kurt and Bargou, Ralf and Berek, Claudia and Van, Trung Chu and Bogen, Bjarne and Jundt, Franziska and Manz, Rudolf Armin}, title = {Eosinophils and Megakaryocytes Support the Early Growth of Murine MOPC315 Myeloma Cells in Their Bone Marrow Niches}, series = {PLOS ONE}, volume = {9}, journal = {PLOS ONE}, number = {10}, doi = {10.1371/journal.pone.0109018}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-115269}, pages = {e109018}, year = {2014}, abstract = {Multiple myeloma is a bone marrow plasma cell tumor which is supported by the external growth factors APRIL and IL-6, among others. Recently, we identified eosinophils and megakaryocytes to be functional components of the micro-environmental niches of benign bone marrow plasma cells and to be important local sources of these cytokines. Here, we investigated whether eosinophils and megakaryocytes also support the growth of tumor plasma cells in the MOPC315. BM model for multiple myeloma. As it was shown for benign plasma cells and multiple myeloma cells, IL-6 and APRIL also supported MOPC315. BM cell growth in vitro, IL-5 had no effect. Depletion of eosinophils in vivo by IL-5 blockade led to a reduction of the early myeloma load. Consistent with this, myeloma growth in early stages was retarded in eosinophil-deficient Delta dblGATA-1 mice. Late myeloma stages were unaffected, possibly due to megakaryocytes compensating for the loss of eosinophils, since megakaryocytes were found to be in contact with myeloma cells in vivo and supported myeloma growth in vitro. We conclude that eosinophils and megakaryocytes in the niches for benign bone marrow plasma cells support the growth of malignant plasma cells. Further investigations are required to test whether perturbation of these niches represents a potential strategy for the treatment of multiple myeloma.}, language = {en} }