TY - JOUR A1 - Breun, Maria A1 - Flock, Katharina A1 - Feldheim, Jonas A1 - Nattmann, Anja A1 - Monoranu, Camelia M. A1 - Herrmann, Pia A1 - Ernestus, Ralf-Ingo A1 - Löhr, Mario A1 - Hagemann, Carsten A1 - Stein, Ulrike T1 - Metastasis associated in colorectal cancer 1 (MACC1) mRNA expression is enhanced in sporadic vestibular schwannoma and correlates to deafness JF - Cancers N2 - Vestibular schwannoma (VS) are benign cranial nerve sheath tumors of the vestibulocochlear nerve. Their incidence is mostly sporadic, but they can also be associated with NF2-related schwannomatosis (NF2), a hereditary tumor syndrome. Metastasis associated in colon cancer 1 (MACC1) is known to contribute to angiogenesis, cell growth, invasiveness, cell motility and metastasis of solid malignant cancers. In addition, MACC1 may be associated with nonsyndromic hearing impairment. Therefore, we evaluated whether MACC1 may be involved in the pathogenesis of VS. Sporadic VS, recurrent sporadic VS, NF2-associated VS, recurrent NF2-associated VS and healthy vestibular nerves were analyzed for MACC1 mRNA and protein expression by quantitative polymerase chain reaction and immunohistochemistry. MACC1 expression levels were correlated with the patients’ clinical course and symptoms. MACC1 mRNA expression was significantly higher in sporadic VS compared to NF2-associated VS (p < 0.001). The latter expressed similar MACC1 concentrations as healthy vestibular nerves. Recurrent tumors resembled the MACC1 expression of the primary tumors. MACC1 mRNA expression was significantly correlated with deafness in sporadic VS patients (p = 0.034). Therefore, MACC1 might be a new molecular marker involved in VS pathogenesis. KW - vestibular schwannoma KW - metastasis associated in colorectal cancer 1 (MACC1) KW - pathogenesis KW - deafness KW - NF2-related schwannomatosis (NF2) KW - mRNA expression Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-362543 SN - 2072-6694 VL - 15 IS - 16 ER - TY - JOUR A1 - Gerhard-Hartmann, Elena A1 - Goergen, Helen A1 - Bröckelmann, Paul J. A1 - Mottok, Anja A1 - Steinmüller, Tabea A1 - Grund, Johanna A1 - Zamò, Alberto A1 - Ben-Neriah, Susana A1 - Sasse, Stephanie A1 - Borchmann, Sven A1 - Fuchs, Michael A1 - Borchmann, Peter A1 - Reinke, Sarah A1 - Engert, Andreas A1 - Veldman, Johanna A1 - Diepstra, Arjan A1 - Klapper, Wolfram A1 - Rosenwald, Andreas T1 - 9p24.1 alterations and programmed cell death 1 ligand 1 expression in early stage unfavourable classical Hodgkin lymphoma: an analysis from the German Hodgkin Study Group NIVAHL trial JF - British Journal of Haematology N2 - High programmed cell death 1 ligand 1 (PD-L1) protein expression and copy number alterations (CNAs) of the corresponding genomic locus 9p24.1 in Hodgkin- and Reed–Sternberg cells (HRSC) have been shown to be associated with favourable response to anti-PD-1 checkpoint inhibition in relapsed/refractory (r/r) classical Hodgkin lymphoma (cHL). In the present study, we investigated baseline 9p24.1 status as well as PD-L1 and major histocompatibility complex (MHC) class I and II protein expression in 82 biopsies from patients with early stage unfavourable cHL treated with anti-PD-1-based first-line treatment in the German Hodgkin Study Group (GHSG) NIVAHL trial (ClinicalTrials.gov Identifier: NCT03004833). All evaluated specimens showed 9p24.1 CNA in HRSC to some extent, but with high intratumoral heterogeneity and an overall smaller range of alterations than reported in advanced-stage or r/r cHL. All but two cases (97%) showed PD-L1 expression by the tumour cells in variable amounts. While MHC-I was rarely expressed in >50% of HRSC, MHC-II expression in >50% of HRSC was found more frequently. No obvious impact of 9p24.1 CNA or PD-L1 and MHC-I/II expression on early response to the highly effective anti-PD-1-based NIVAHL first-line treatment was observed. Further studies evaluating an expanded panel of potential biomarkers are needed to optimally stratify anti-PD-1 first-line cHL treatment. KW - fluorescence in situ hybridisation KW - major histocompatibility complex KW - immune checkpoint blockade KW - classical Hodgkin lymphoma KW - CD274 Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-258358 VL - 196 IS - 1 ER - TY - JOUR A1 - Seiler, Jonas A1 - Ebert, Regina A1 - Rudert, Maximilian A1 - Herrmann, Marietta A1 - Leich, Ellen A1 - Weißenberger, Manuela A1 - Horas, Konstantin T1 - Bone metastases of diverse primary origin frequently express the VDR (vitamin D receptor) and CYP24A1 JF - Journal of Clinical Medicine N2 - Active vitamin D (1,25(OH)2D3) is known to exert direct anti-cancer actions on various malignant tissues through binding to the vitamin D receptor (VDR). These effects have been demonstrated in breast, prostate, renal and thyroid cancers, which all have a high propensity to metastasise to bone. In addition, there is evidence that vitamin D catabolism via 24-hydroxylase (CYP24A1) is altered in tumour cells, thus, reducing local active vitamin D levels in cancer cells. The aim of this study was to assess VDR and CYP24A1 expression in various types of bone metastases by using immunohistochemistry. Overall, a high total VDR protein expression was detected in 59% of cases (39/66). There was a non-significant trend of high-grade tumours towards the low nuclear VDR expression (p = 0.07). Notably, patients with further distant metastases had a reduced nuclear VDR expression (p = 0.03). Furthermore, a high CYP24A1 expression was detected in 59% (39/66) of bone metastases. There was a significant positive correlation between nuclear VDR and CYP24A1 expression (p = 0.001). Collectively, the VDR and CYP24A1 were widely expressed in a multitude of bone metastases, pointing to a potential role of vitamin D signalling in cancer progression. This is of high clinical relevance, as vitamin D deficiency is frequent in patients with bone metastases. KW - vitamin D receptor KW - VDR KW - CYP24A1 KW - bone metastasis KW - vitamin D Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-297377 SN - 2077-0383 VL - 11 IS - 21 ER - TY - THES A1 - Marquardt, André T1 - Machine-Learning-Based Identification of Tumor Entities, Tumor Subgroups, and Therapy Options T1 - Bestimmung von Tumorentitäten, Tumorsubgruppen und Therapieoptionen basierend auf maschinellem Lernen N2 - Molecular genetic analyses, such as mutation analyses, are becoming increasingly important in the tumor field, especially in the context of therapy stratification. The identification of the underlying tumor entity is crucial, but can sometimes be difficult, for example in the case of metastases or the so-called Cancer of Unknown Primary (CUP) syndrome. In recent years, methylome and transcriptome utilizing machine learning (ML) approaches have been developed to enable fast and reliable tumor and tumor subtype identification. However, so far only methylome analysis have become widely used in routine diagnostics. The present work addresses the utility of publicly available RNA-sequencing data to determine the underlying tumor entity, possible subgroups, and potential therapy options. Identification of these by ML - in particular random forest (RF) models - was the first task. The results with test accuracies of up to 99% provided new, previously unknown insights into the trained models and the corresponding entity prediction. Reducing the input data to the top 100 mRNA transcripts resulted in a minimal loss of prediction quality and could potentially enable application in clinical or real-world settings. By introducing the ratios of these top 100 genes to each other as a new database for RF models, a novel method was developed enabling the use of trained RF models on data from other sources. Further analysis of the transcriptomic differences of metastatic samples by visual clustering showed that there were no differences specific for the site of metastasis. Similarly, no distinct clusters were detectable when investigating primary tumors and metastases of cutaneous skin melanoma (SKCM). Subsequently, more than half of the validation datasets had a prediction accuracy of at least 80%, with many datasets even achieving a prediction accuracy of – or close to – 100%. To investigate the applicability of the used methods for subgroup identification, the TCGA-KIPAN dataset, consisting of the three major kidney cancer subgroups, was used. The results revealed a new, previously unknown subgroup consisting of all histopathological groups with clinically relevant characteristics, such as significantly different survival. Based on significant differences in gene expression, potential therapeutic options of the identified subgroup could be proposed. Concludingly, in exploring the potential applicability of RNA-sequencing data as a basis for therapy prediction, it was shown that this type of data is suitable to predict entities as well as subgroups with high accuracy. Clinical relevance was also demonstrated for a novel subgroup in renal cell carcinoma. The reduction of the number of genes required for entity prediction to 100 genes, enables panel sequencing and thus demonstrates potential applicability in a real-life setting. N2 - Molekulargenetische Analysen, wie z. B. Mutationsanalysen, gewinnen im Tumorbereich zunehmend an Bedeutung, insbesondere im Zusammenhang mit der Therapiestratifizierung. Die Identifizierung der zugrundeliegenden Tumorentität ist von entscheidender Bedeutung, kann sich aber manchmal als schwierig erweisen, beispielsweise im Falle von Metastasen oder dem sogenannten Cancer of Unknown Primary (CUP)-Syndrom. In den letzten Jahren wurden Methylom- und Transkriptom-Ansätze mit Hilfe des maschinellen Lernens (ML) entwickelt, die eine schnelle und zuverlässige Identifizierung von Tumoren und Tumorsubtypen ermöglichen. Bislang werden jedoch nur Methylomanalysen in der Routinediagnostik eingesetzt. Die vorliegende Arbeit befasst sich mit dem Nutzen öffentlich zugänglicher RNA-Sequenzierungsdaten zur Bestimmung der zugrunde liegenden Tumorentität, möglicher Untergruppen und potenzieller Therapieoptionen. Die Identifizierung dieser durch ML - insbesondere Random-Forest (RF)-Modelle - war die erste Aufgabe. Die Ergebnisse mit Testgenauigkeiten von bis zu 99 % lieferten neue, bisher unbekannte Erkenntnisse über die trainierten Modelle und die entsprechende Entitätsvorhersage. Die Reduktion der Eingabedaten auf die 100 wichtigsten mRNA-Transkripte führte zu einem minimalen Verlust an Vorhersagequalität und könnte eine Anwendung in klinischen oder realen Umgebungen ermöglichen. Durch die Einführung des Verhältnisses dieser Top 100 Gene zueinander als neue Datenbasis für RF-Modelle wurde eine neuartige Methode entwickelt, die die Verwendung trainierter RF-Modelle auf Daten aus anderen Quellen ermöglicht. Eine weitere Analyse der transkriptomischen Unterschiede von metastatischen Proben durch visuelles Clustering zeigte, dass es keine für den Ort der Metastasierung spezifischen Unterschiede gab. Auch bei der Untersuchung von Primärtumoren und Metastasen des kutanen Hautmelanoms (SKCM) konnten keine unterschiedlichen Cluster festgestellt werden. Mehr als die Hälfte der Validierungsdatensätze wiesen eine Vorhersagegenauigkeit von mindestens 80% auf, wobei viele Datensätze sogar eine Vorhersagegenauigkeit von 100% oder nahezu 100% erreichten. Um die Anwendbarkeit der verwendeten Methoden zur Identifizierung von Untergruppen zu untersuchen, wurde der TCGA-KIPAN-Datensatz verwendet, welcher die drei wichtigsten Nierenkrebs-Untergruppen umfasst. Die Ergebnisse enthüllten eine neue, bisher unbekannte Untergruppe, die aus allen histopathologischen Gruppen mit klinisch relevanten Merkmalen, wie z. B. einer signifikant unterschiedlichen Überlebenszeit, besteht. Auf der Grundlage signifikanter Unterschiede in der Genexpression konnten potenzielle therapeutische Optionen für die identifizierte Untergruppe vorgeschlagen werden. Zusammenfassend lässt sich sagen, dass bei der Untersuchung der potenziellen Anwendbarkeit von RNA-Sequenzierungsdaten als Grundlage für die Therapievorhersage gezeigt werden konnte, dass diese Art von Daten geeignet ist, sowohl Entitäten als auch Untergruppen mit hoher Genauigkeit vorherzusagen. Die klinische Relevanz wurde auch für eine neue Untergruppe beim Nierenzellkarzinom demonstriert. Die Verringerung der für die Entitätsvorhersage erforderlichen Anzahl von Genen auf 100 Gene ermöglicht die Sequenzierung von Panels und zeigt somit die potenzielle Anwendbarkeit in der Praxis. KW - Maschinelles Lernen KW - Krebs KW - Tumor KW - Sequenzdaten KW - Random Forest KW - Vorhersage KW - RNA-Sequenzierung KW - Prognose Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-329548 ER - TY - JOUR A1 - Feldheim, Jonas A1 - Wend, David A1 - Lauer, Mara J. A1 - Monoranu, Camelia M. A1 - Glas, Martin A1 - Kleinschnitz, Christoph A1 - Ernestus, Ralf-Ingo A1 - Braunger, Barbara M. A1 - Meybohm, Patrick A1 - Hagemann, Carsten A1 - Burek, Malgorzata T1 - Protocadherin Gamma C3 (PCDHGC3) is strongly expressed in glioblastoma and its high expression is associated with longer progression-free survival of patients JF - International Journal of Molecular Sciences N2 - Protocadherins (PCDHs) belong to the cadherin superfamily and represent the largest subgroup of calcium-dependent adhesion molecules. In the genome, most PCDHs are arranged in three clusters, α, β, and γ on chromosome 5q31. PCDHs are highly expressed in the central nervous system (CNS). Several PCDHs have tumor suppressor functions, but their individual role in primary brain tumors has not yet been elucidated. Here, we examined the mRNA expression of PCDHGC3, a member of the PCDHγ cluster, in non-cancerous brain tissue and in gliomas of different World Health Organization (WHO) grades and correlated it with the clinical data of the patients. We generated a PCDHGC3 knockout U343 cell line and examined its growth rate and migration in a wound healing assay. We showed that PCDHGC3 mRNA and protein were significantly overexpressed in glioma tissue compared to a non-cancerous brain specimen. This could be confirmed in glioma cell lines. High PCDHGC3 mRNA expression correlated with longer progression-free survival (PFS) in glioma patients. PCDHGC3 knockout in U343 resulted in a slower growth rate but a significantly faster migration rate in the wound healing assay and decreased the expression of several genes involved in WNT signaling. PCDHGC3 expression should therefore be further investigated as a PFS-marker in gliomas. However, more studies are needed to elucidate the molecular mechanisms underlying the PCDHGC3 effects. KW - glioblastoma multiforme KW - glioma KW - astrocytoma KW - recurrence KW - relapse KW - mRNA KW - protein KW - brain KW - expression KW - PCDHGC3 KW - WNT signaling Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-284433 SN - 1422-0067 VL - 23 IS - 15 ER - TY - JOUR A1 - Marquardt, André A1 - Hartrampf, Philipp A1 - Kollmannsberger, Philip A1 - Solimando, Antonio G. A1 - Meierjohann, Svenja A1 - Kübler, Hubert A1 - Bargou, Ralf A1 - Schilling, Bastian A1 - Serfling, Sebastian E. A1 - Buck, Andreas A1 - Werner, Rudolf A. A1 - Lapa, Constantin A1 - Krebs, Markus T1 - Predicting microenvironment in CXCR4- and FAP-positive solid tumors — a pan-cancer machine learning workflow for theranostic target structures JF - Cancers N2 - (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. KW - machine learning KW - tumor microenvironment KW - immune infiltration KW - angiogenesis KW - mRNA KW - miRNA KW - transcriptome Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-305036 SN - 2072-6694 VL - 15 IS - 2 ER - TY - JOUR A1 - Feldheim, Jonas A1 - Kessler, Almuth F. A1 - Feldheim, Julia J. A1 - Schmitt, Dominik A1 - Oster, Christoph A1 - Lazaridis, Lazaros A1 - Glas, Martin A1 - Ernestus, Ralf-Ingo A1 - Monoranu, Camelia M. A1 - Löhr, Mario A1 - Hagemann, Carsten T1 - BRMS1 in gliomas — an expression analysis JF - Cancers N2 - The metastatic suppressor BRMS1 interacts with critical steps of the metastatic cascade in many cancer entities. As gliomas rarely metastasize, BRMS1 has mainly been neglected in glioma research. However, its interaction partners, such as NFκB, VEGF, or MMPs, are old acquaintances in neurooncology. The steps regulated by BRMS1, such as invasion, migration, and apoptosis, are commonly dysregulated in gliomas. Therefore, BRMS1 shows potential as a regulator of glioma behavior. By bioinformatic analysis, in addition to our cohort of 118 specimens, we determined BRMS1 mRNA and protein expression as well as its correlation with the clinical course in astrocytomas IDH mutant, CNS WHO grade 2/3, and glioblastoma IDH wild-type, CNS WHO grade 4. Interestingly, we found BRMS1 protein expression to be significantly decreased in the aforementioned gliomas, while BRMS1 mRNA appeared to be overexpressed throughout. This dysregulation was independent of patients’ characteristics or survival. The protein and mRNA expression differences cannot be finally explained at this stage. However, they suggest a post-transcriptional dysregulation that has been previously described in other cancer entities. Our analyses present the first data on BRMS1 expression in gliomas that can provide a starting point for further investigations. KW - glioblastoma KW - metastasis KW - suppressor KW - behavior KW - mRNA KW - protein Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-319225 SN - 2072-6694 VL - 15 IS - 11 ER - TY - JOUR A1 - Nickl, Vera A1 - Eck, Juliana A1 - Goedert, Nicolas A1 - Hübner, Julian A1 - Nerreter, Thomas A1 - Hagemann, Carsten A1 - Ernestus, Ralf-Ingo A1 - Schulz, Tim A1 - Nickl, Robert Carl A1 - Keßler, Almuth Friederike A1 - Löhr, Mario A1 - Rosenwald, Andreas A1 - Breun, Maria A1 - Monoranu, Camelia Maria T1 - Characterization and optimization of the tumor microenvironment in patient-derived organotypic slices and organoid models of glioblastoma JF - Cancers N2 - While glioblastoma (GBM) is still challenging to treat, novel immunotherapeutic approaches have shown promising effects in preclinical settings. However, their clinical breakthrough is hampered by complex interactions of GBM with the tumor microenvironment (TME). Here, we present an analysis of TME composition in a patient-derived organoid model (PDO) as well as in organotypic slice cultures (OSC). To obtain a more realistic model for immunotherapeutic testing, we introduce an enhanced PDO model. We manufactured PDOs and OSCs from fresh tissue of GBM patients and analyzed the TME. Enhanced PDOs (ePDOs) were obtained via co-culture with PBMCs (peripheral blood mononuclear cells) and compared to normal PDOs (nPDOs) and PT (primary tissue). At first, we showed that TME was not sustained in PDOs after a short time of culture. In contrast, TME was largely maintained in OSCs. Unfortunately, OSCs can only be cultured for up to 9 days. Thus, we enhanced the TME in PDOs by co-culturing PDOs and PBMCs from healthy donors. These cellular TME patterns could be preserved until day 21. The ePDO approach could mirror the interaction of GBM, TME and immunotherapeutic agents and may consequently represent a realistic model for individual immunotherapeutic drug testing in the future. KW - glioblastoma KW - organoids KW - slice culture KW - tumormicroenvironment Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-319249 SN - 2072-6694 VL - 15 IS - 10 ER - TY - JOUR A1 - Linz, Christian A1 - Brands, Roman C. A1 - Kertels, Olivia A1 - Dierks, Alexander A1 - Brumberg, Joachim A1 - Gerhard-Hartmann, Elena A1 - Hartmann, Stefan A1 - Schirbel, Andreas A1 - Serfling, Sebastian A1 - Zhi, Yingjun A1 - Buck, Andreas K. A1 - Kübler, Alexander A1 - Hohm, Julian A1 - Lapa, Constantin A1 - Kircher, Malte T1 - Targeting fibroblast activation protein in newly diagnosed squamous cell carcinoma of the oral cavity – initial experience and comparison to [\(^{18}\)F]FDG PET/CT and MRI JF - European Journal of Nuclear Medicine and Molecular Imaging N2 - Purpose While [\(^{18}\)F]-fluorodeoxyglucose ([\(^{18}\)F]FDG) is the standard for positron emission tomography/computed tomography (PET/CT) imaging of oral squamous cell carcinoma (OSCC), diagnostic specificity is hampered by uptake in inflammatory cells such as neutrophils or macrophages. Recently, molecular imaging probes targeting fibroblast activation protein α (FAP), which is overexpressed in a variety of cancer-associated fibroblasts, have become available and might constitute a feasible alternative to FDG PET/CT. Methods Ten consecutive, treatment-naïve patients (8 males, 2 females; mean age, 62 ± 9 years) with biopsy-proven OSCC underwent both whole-body [\(^{18}\)F]FDG and [\(^{68}\)Ga]FAPI-04 (FAP-directed) PET/CT for primary staging prior to tumor resection and cervical lymph node dissection. Detection of the primary tumor, as well as the presence and number of lymph node and distant metastases was analysed. Intensity of tracer accumulation was assessed by means of maximum (SUV\(_{max}\)) and peak (SUV\(_{peak}\) standardized uptake values. Histological work-up including immunohistochemical staining for FAP served as standard of reference. Results [\(^{18}\)F]FDG and FAP-directed PET/CT detected all primary tumors with a SUVmax of 25.5 ± 13.2 (FDG) and 20.5 ± 6.4 (FAP-directed) and a SUVpeak of 16.1 ± 10.3 ([\(^{18}\)F]FDG) and 13.8 ± 3.9 (FAP-directed), respectively. Regarding cervical lymph node metastases, FAP-directed PET/CT demonstrated comparable sensitivity (81.3% vs. 87.5%; P = 0.32) and specificity (93.3% vs. 81.3%; P = 0.16) to [\(^{18}\)F]FDG PET/CT. FAP expression on the cell surface of cancer-associated fibroblasts in both primary lesions as well as lymph nodes metastases was confirmed in all samples. Conclusion FAP-directed PET/CT in OSCC seems feasible. Future research to investigate its potential to improve patient staging is highly warranted. KW - molecular imaging KW - fibroblast activation protein KW - head and neck cancer KW - PET Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-307246 SN - 1619-7070 SN - 1619-7089 VL - 48 IS - 12 ER - TY - JOUR A1 - Böck, Julia A1 - Maurus, Katja A1 - Gerhard-Hartmann, Elena A1 - Brändlein, Stephanie A1 - Kurz, Katrin S. A1 - Ott, German A1 - Anagnostopoulos, Ioannis A1 - Rosenwald, Andreas A1 - Zamò, Alberto T1 - Targeted panel sequencing in the routine diagnosis of mature T- and NK-cell lymphomas BT - report of 128 cases from two German reference centers JF - Frontiers in Oncology N2 - Diagnosing any of the more than 30 types of T-cell lymphomas is considered a challenging task for many pathologists and currently requires morphological expertise as well as the integration of clinical data, immunophenotype, flow cytometry and clonality analyses. Even considering all available information, some margin of doubt might remain using the current diagnostic procedures. In recent times, the genetic landscape of most T-cell lymphomas has been elucidated, showing a number of diagnostically relevant mutations. In addition, recent data indicate that some of these genetic alterations might bear prognostic and predictive value. Extensive genetic analyses, such as whole exome or large panel sequencing are still expensive and time consuming, therefore limiting their application in routine diagnostic. We therefore devoted our effort to develop a lean approach for genetic analysis of T-cell lymphomas, focusing on maximum efficiency rather than exhaustively covering all possible targets. Here we report the results generated with our small amplicon-based panel that could be used routinely on paraffin-embedded and even decalcified samples, on a single sample basis in parallel with other NGS-panels used in our routine diagnostic lab, in a relatively short time and with limited costs. We tested 128 available samples from two German reference centers as part of our routine work up (among which 116 T-cell lymphomas), which is the largest routine diagnostic series reported to date. Our results showed that this assay had a very high rate of technical success (97%) and could detect mutations in the majority (79%) of tested T-cell lymphoma samples. KW - T-cell lymphoma KW - panel-sequencing KW - NGS KW - diagnostics KW - mutation KW - FFPE Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-326478 SN - 2234-943X VL - 13 ER -