OP0145 DIFFERENTIAL DIAGNOSIS OF RA AND PSA USING NEURAL NETWORKS ON THREE-DIMENSIONAL BONE SHAPE OF FINGER JOINTS

Background:

Early diagnosis and reliable differentiation between rheumatic diseases (RMDs) are crucial to start an adequate therapy and prevent irreversible damage. Since finger joints are commonly affected in rheumatoid arthritis (RA) and psoriatic arthritis (PsA), imaging of the peripheral skeleton is an essential step of diagnosis at a rheumatologist. High resolution peripheral quantitative computed tomography (HR-pQCT) allows an even more detailed and three-dimensional (3D) illustration of the peripheral bone than conventional radiographs. Segmented scans contain further information, such as the density, microstructure, and shape of the bones, which can be further analyzed by neural networks.

Objectives:

We hypothesize that, based on the shape of the second metacarpophalangeal (MCP) joint from HR-pQCT images, a neural network can be trained to differentiate between RA, PsA, and healthy controls and to reveal regions in the bone shape characteristic for the diseases.

Methods:

HR-pQCT images of MCP joints from patients with classified CCP positive RA, classified PsA, and healthy controls with low motion artifacts and appropriate scan region were selected as reported previously [3]. Scans were performed as part of the clinical routine and patients gave their informed consent to use pseudonymized data (Ethics approval 334_16B). Based on the assumption that pathognomonic changes develop over time, only images were used, where the period between classification and imaging exceeded one year.

Based on previous work [4], a pixel-wise mask of the second metacarpal bone was generated using a neural network based on the HR-pQCT scans of patients. Supervised auto-encoder [1] networks were used to predict the correct class given the bone mask only. For the neural network experiment, the patient scans were split on a patient-level into training (70%), validation (20%), and testing (10%). Guided backpropagation [2] was used as a method to investigate the regions influencing the class prediction most.

Results:

In total, images of 331 patients were included in the experiments. The evaluation of the model on the 33 test cases yielded a high accuracy for the healthy control with 94%, RA patients with 84%, and PsA patients with 89%. An area under the receiver operator curve of 91% could be achieved. The regions of the bone mask influencing the network´s decision most are highlighted exemplary in Figure 1.

Figure 1.

Visualization of the HR-pQCT slices with gradient maps. Higher values (red) represent regions that had a stronger contribution to the classification result. The HR-pQCT images are displayed for reference only. (a) Healthy patient, (b) RA diagnosed patient, and (c) PsA diagnosed patient. The first row shows the single slices with the highest values corresponding to the 3D bone masks in the second row.

Conclusion:

For the first time, a neural network-based approach successfully provides a differential diagnosis of RA and PsA based only on the shape of the second MCP in HR-pQCT images. The evaluation of the test set suggests that high curvatures of the bone surface in the joint region significantly influence the prediction of the network, suggesting an in-depth investigation of these regions for patients affected by RA and PsA. Based on these promising findings, we aim to extend the approach to seronegative RA as well as early RA and PsA.

References:

[1]Le, L. et al. (2018). Supervised autoencoders: Improving generalization performance with unsupervised regularizers. In Advances in Neural Information Processing Systems.

[2]Springenberg, J. T. et al. (2015). Striving for simplicity: The all convolutional net. 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings.

[3]Simon, D. et al. (2017). Age- and Sex-Dependent Changes of Intra-articular Cortical and Trabecular Bone Structure and the Effects of Rheumatoid Arthritis. Journal of Bone and Mineral Research, 32(4), 722–730.

[4]Folle, L. et al. (2021). Fully Automatic Bone Mineral Density Measurements using Deep Learning. Manuscript submitted for publication.

Acknowledgements:

This work was supported by the emerging field initiative (project 4 Med 05 “MIRACLE”) of the University Erlangen-Nürnberg and MASCARA - Molecular Assessment of Signatures Characterizing the Remission of Arthritis grant 01EC1903A.

Disclosure of Interests:

Lukas Folle: None declared, Chang Liu: None declared, David Simon Speakers bureau: Lilly, Novartis, Consultant of: Lilly, Novartis, Gilead, BMS, Abbvie, Grant/research support from: Lilly, Novartis, Timo Meinderink: None declared, Anna-Maria Liphardt Consultant of: Mylan/Meda Pharma, Grant/research support from: Novartis, Gerhard Krönke Speakers bureau: Lilly, Novartis, Consultant of: Lilly, Novartis, Gilead, BMS, Abbvie, Grant/research support from: Lilly, Novartis, Georg Schett Speakers bureau: Lilly, Novartis, Consultant of: Lilly, Novartis, Gilead, BMS, Abbvie, Grant/research support from: Lilly, Novartis, Andreas Maier: None declared, Arnd Kleyer Speakers bureau: Lilly, Novartis, Consultant of: Lilly, Novartis, Gilead, BMS, Abbvie, Grant/research support from: Novartis, Lilly

[Rehabilitation of orphan diseases in adulthood: osteogenesis imperfecta]

Osteogenesis imperfecta (brittle bone disease) is an orphan disease caused by a genetic mutation in collagen metabolism. Bone fractures are the most common symptoms; however, the clinical manifestation can vary widely. Additional features can include blue sclera, dwarfism, bone deformities, muscular weakness, scoliosis, hearing loss and hypermobility of joints. Most patients show a reduction of skeletal function. This leads to an increased risk of being unable to continue their former work and to participate in social life. A comprehensive treatment includes drug therapy, surgery and rehabilitation. This article gives an overview of the current status of rehabilitation in adult patients with osteogenesis imperfecta.

Abstract 2813: Tumor models driven by EGFR: Optimizing the preclinical profiling of EGFR-targeting agents

The epidermal growth factor receptor (EGFR, HER1, ERBB1) is a driver of many human cancers. Standard of care treatment for colon, head and neck and non-small cell lung cancer includes drugs targeting EGFR. Numerous molecular alterations activating the oncogenic potential of the EGFR gene have been described including activating point mutations, point mutations causing resistance against EGFR-targeting drugs, activating deletions and truncations as well as overexpression of EGFR and its ligands, occasionally induced by gene amplification. In other situations, EGFR has been identified as a driver in the absence of any obvious molecular alterations of the EGFR gene. The discovery and development of EGFR-targeting agents depends on the availability of relevant tumor models. We provide an overview of our collection of EGFR-driven tumor models, including PDXs along with PDX-derived cell lines and human tumor cell lines. We compare sensitivity profiles of tumor models for EGFR-targeting agents obtained in vivo and in vitro and demonstrate that for EGFR-targeting agents, data obtained in 2D and 3D assays are predictive for the in vivo situation. We propose an optimized strategy for the preclinical profiling of EGFR-targeting anti-cancer agents.

Citation Format: Markus Posch, Hagen Klett, Anne-Lise Peille, Gerhard Kelter, Armin Maier, Julia Schüler, Thomas M. Metz. Tumor models driven by EGFR: Optimizing the preclinical profiling of EGFR-targeting agents [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 2813.

Three-dimensional Monte Carlo-based voxel-wise tumor dosimetry in patients with neuroendocrine tumors who underwent 177Lu-DOTATOC therapy

Background

Patients with advanced neuroendocrine tumors (NETs) of the midgut are suitable candidates for ¹⁷⁷Lu-DOTATOC therapy. Integrated SPECT/CT systems have the potential to help improve the accuracy of patient-specific tumor dosimetry. Dose estimations to target organs are generally performed using the Medical Internal Radiation Dose scheme. We present a novel Monte Carlo-based voxel-wise dosimetry approach to determine organ- and tumor-specific total tumor doses (TTD).

Methods

A cohort of 14 patients with histologically confirmed metastasized NETs of the midgut (11 men, 3 women, 62.3 ± 11.0 years of age) underwent a total of 39 cycles of ¹⁷⁷Lu-DOTATOC therapy (mean 2.8 cycles, SD ± 1 cycle). After the first cycle of therapy, regions of interest were defined manually on the SPECT/CT images for the kidneys, the spleen, and all 198 tracer-positive tumor lesions in the field of view. Four SPECT images, taken at 4 h, 24 h, 48 h and 72 h after injection of the radiopharmaceutical, were used to determine their effective half-lives in the structures of interest. The absorbed doses were calculated by a three-dimensional dosimetry method based on Monte Carlo simulations. TTD was calculated as the sum of all products of single tumor doses with single tumor volumes divided by the sum of all tumor volumes.

Results

The average dose values per cycle were 3.41 ± 1.28 Gy (1.91–6.22 Gy) for the kidneys, 4.40 ± 2.90 Gy (1.14–11.22 Gy) for the spleen, and 9.70 ± 8.96 Gy (1.47–39.49 Gy) for all ¹⁷⁷Lu-DOTATOC-positive tumor lesions. Low- and intermediate-grade tumors (G 1–2) absorbed a higher TTD compared to high-grade tumors (G 3) (signed-rank test, p =  < 0.05). The pre-therapeutic chromogranin A (CgA) value and the TTD correlated significantly (Pearson correlation:  = 0.67, p = 0.01). Higher TTD resulted in a significant decrease of CgA after therapy.

Conclusion

These results suggest that Monte Carlo-based voxel-wise dosimetry is a very promising tool for predicting the absorbed TTD based on histological and clinical parameters.

[Raynaud's phenomenon : Practical management]

Raynaud's phenomenon (RP) is a frequent and painful vasospasm of small arteries localized in acral body regions (most frequently the fingers). The more frequent so-called primary RP is caused merely by a functional dysregulation of the tonus of vascular walls. In contrast, the rarer secondary RP is additionally associated with structural abnormalities of blood vessels. Knowledge of RP is important for rheumatologists because secondary RP can be associated with the presence or development of severe underlying diseases, especially with systemic sclerosis. Thus, the rheumatologist has to be aware of this condition. In this article the diagnostic procedures and the most important treatment approaches are summarized.

Abstract LB-B05: Characterization of a panel of 79 PDX-derived cell lines with a focus on the EGFR exon 20 insertion mutation-driven NSCLC model LXFE 2478

Patient-derived tumor xenograft (PDX) models have become indispensable for the preclinical profiling of novel anti-cancer agents as they retain histological, molecular and pharmacological characteristics of the parental patient tumors and for many tumor types collectively replicate the diversity of patient tumors. To make PDX models available for in vitro assays, we have established a panel of 79 low passage cell lines derived from PDXs representing 15 different tumor histologies. Using, among others, the non-small cell lung cancer model LXFE_2478 which is driven by the exon 20 insertion EGFR mutation M766_A767insASV as an example, we demonstrate the following similarities of PDX models and the corresponding PDX-derived cell lines. (i) Subcutaneous xenografts established from PDX-derived cell lines mirror the histology of the corresponding PDX models and usually also patient tumors. (ii) For LXFE_2478 both the PDX model and the corresponding PDX-derived cell line express high levels of EGFR, suggesting that the oncogenic driver is still present. (iii) For LXFE_2478 the PDX and the PDX-derived cell line subcutaneously implanted in mice display comparable sensitivity to a variety of EGFR inhibitors and cytotoxics. (iv) For LXFE_2478 the sensitivity of the PDX-derived cell line to a variety of EGFR inhibitors in an in vitro 2D cell survival and proliferation assay in general corresponds to the EGFRi sensitivity of the corresponding PDX model in vivo. (v) For several additional PDX models representing various histotypes the sensitivity to first generation EGFR inhibitors of PDX-derived cell lines in the 2D assay is in line with the in vivo EGFR inhibitor sensitivity of the corresponding PDXs. In conclusion, at least for some mechanisms of action in vitro data obtained with PDX-derived cell lines can predict the in vivo behavior of the corresponding PDX model and can thereby accelerate, and reduce the costs of, the discovery of novel anticancer agents.

Citation Format: Gerhard Kelter, Anne-Lise Peille, Jutta Fehr, Hagen Klett, Armin Maier, Markus Posch, Thomas M Metz. Characterization of a panel of 79 PDX-derived cell lines with a focus on the EGFR exon 20 insertion mutation-driven NSCLC model LXFE 2478 [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2019 Oct 26-30; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2019;18(12 Suppl):Abstract nr LB-B05. doi:10.1158/1535-7163.TARG-19-LB-B05

Abstract C021: Validation of the interaction between a candidate compound and the intended drug target by a phenotypic rescue approach

New targets for cancer treatment frequently emerge in literature, but the thorough target validation required to consider these targets for a drug discovery program is often lacking. In pharmacological or genetic perturbation studies using complex biological assays, undesired off-target effects cannot be easily distinguished from the intended mode of action at the desired target. This is especially evident in cancer drug development where it is important to discriminate on-target effects on cell viability from off-target effects resulting in non-specific loss of cellular fitness. Neglecting the possibility of being deceived by off-target effects can have tremendous scientific and financial impact on a drug discovery program. Ideally, confidence in a preclinical drug target and a modulating compound is boosted in an early stage by more extensive analysis and validation of the actual drug-target relationship. Rescue of a disease-relevant phenotype by genetic restoration of a target mutation is a gold standard approach in drug discovery by which target validation can be achieved. We aim to follow this approach targeting the BRAF V600E mutation in a number of well described melanoma lines as well as the MAP2K1 Q56P mutation in the non-small cell lung cancer cell line H1437. Target validation for both BRAF and MAP2K1 will be addressed by assessing viability, phenotypic changes and sensitivity to compound modulation upon CRISPR/Cas9 repair of the target mutation or by exogenous re-expression of the wild type variant. Compounds tested will be Vemurafenib for BRAF and Trametinib for MAP2K1. Further investigation into target validity will be done using a physiologically relevant 3D spheroid based co-culture system. Mimicking the tumor microenvironment increases the knowledge about “drug-ability” of a target and sustainability of the target modulation at an early time point in the development process. Such early in-depth validation of the relationship between a compound and the drug target is vital to mitigate the risk of failure at later steps of drug development.

Citation Format: Laure Grandmoursel, Lieke Geerts, Geraldine Servant, Miranda van der Ham, Armin Maier, Jamil Aarbiou, Marijn Vlaming, Jeroen DeGroot, Julia Schuler, Ian Waddell, Anne-Marie Zuurmond. Validation of the interaction between a candidate compound and the intended drug target by a phenotypic rescue approach [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2019 Oct 26-30; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2019;18(12 Suppl):Abstract nr C021. doi:10.1158/1535-7163.TARG-19-C021

Child protection in medicine - closing gaps in continuing education through e-learning

Background

Child abuse is a major problem across Europe. The consequences are often serious and long-lasting disorders which, in addition to the individual burden, are extremely costly for the national health system. It is important to prevent or recognize child abuse at an early stage and to provide adequate help to those affected. Health professionals are privileged first contact persons for the victims. However, the WHO assumes that about 90% of cases of child abuse in medical institutions remain unknown. It is therefore important to train health professionals in this field. For this reason, in Germany an E-Learning course on child protection in medicine is currently being developed and evaluated. This article is intended to present the results of the accompanying evaluation of the E-Learning course.

Methods

The accompanying evaluation collected and analyzed the graduates’ opinion on the course, its contents and the topic of child protection in medicine in general. Knowledge and competence levels were surveyed before and after the course and evaluated with a t-test for related samples.

Results

The evaluation of the course showed a high relevance of the topic of child protection in medicine and the rather low attention paid to the topic in the medical field. The course was, however, assessed very positively and the majority of graduates were already able to apply what they had learnt in their daily work. The pre-post design showed a significant increase in knowledge and skills as a result of the course.

Conclusions

It turned out that the E-Learning course on child protection in medicine closes an existing gap in the continuing medical education system. The evaluation also shows a success of the program and thus a reduction of uncertainties in child protection procedures among health professionals. A corresponding E-Learning offer for other European countries should be considered in order to address the comprehensive problem of child abuse across the whole of Europe.

Key messages

Too little attention is paid to child protection in the medical field. E-Learning can effectively train health professionals in child protection, has a wide reach and is flexible in use.

4323Detection of early inflammation in myocarditis by molecular magnetic resonance imaging of activated platelets

Introduction

A noninvasive imaging strategy for diagnosis and localization of early myocarditis would be of great clinical interest. However, resolution of current imaging techniques is limited. Platelets play an important role in inflammatory processes but the role in myocarditis is unknown. Therefore, the aim of this project was to examine the role of platelets in myocarditis and establish a sensitive non-invasive molecular MRI in-vivo imaging strategy for diagnosis of myocarditis with a contrast agent against activated platelets in mice.

Methods

Myocarditis was induced by subcutaneous injection of an emulsion of porcine cardiac myosin and complete freud's adjuvant (CFA) in Balb/c mice. Inflammatory activity was targeted with a contrast agent against activated platelets consisting of microparticles of iron oxide (MPIO) conjugated to a single chain antibody directed against ligand-induced binding sites (LIBS) on activated glycoprotein IIb/IIIa (=LIBS-MPIO). In comparison, we applied an unspecific control antibody linked to microparticles of iron oxide (control-MPIO) and injected LIBS-MPIO to mice subjected to incomplete freud's adjuvant (iCFA). All imaging results were correlated to immunohistochemistry findings.

Results

Histological evaluation showed significantly higher binding of LIBS-MPIOs to platelet enriched, CD41-positive inflamed myocardium two days after induction of myocarditis in comparison to later time points (7d, 14d, 21d) (p<0.05) and control-MPIO (p<0.05) injection. In iCFA injected mice no significant LIBS-MPIO binding was found (p<0.05). In 3D in-vivo MRI we could specifically detect focal signal effects in LIBS-MPIO injected mice 2 days after induction of myocarditis, whereas in control-MPIO injected mice no signal effect was visible. Quantification of the myocardial MRI signal confirmed a signal decrease after LIBS-MPIO injection and significant fewer signals in comparison to control-MPIO injection (p<0.05).

As a perspective, we also found CD41 positive areas in histology of human myocarditis specimens.

Conclusions

Platelets are involved in the inflammation of myocarditis. Molecular MRI with LIBS-MPIO can image them at an early time point. This noninvasive imaging strategy is of clinical interest for both diagnostic and prognostic purposes, and highlights the potential of molecular MRI for characterization of cardiovascular pathologies such as myocardial inflammation.

Anakinra Drug Retention Rate and Predictive Factors of Long-Term Response in Systemic Juvenile Idiopathic Arthritis and Adult Onset Still Disease

Background and Objective: Only a few studies have reported long-term efficacy of interleukin (IL)-1 inhibition in systemic juvenile idiopathic arthritis (sJIA) and adult-onset Still disease (AOSD). Herein we report on the effectiveness of anakinra (ANA), expressed in terms of drug retention rate (DRR), and evaluate the predictive factors of drug survival in a cohort of patients with sJIA and AOSD.

Patients and Methods: This is a multicenter study reviewing retrospectively the medical records from 61 patients with sJIA and 76 with AOSD, all treated with ANA in 25 Italian tertiary referral centers.

Results: The cumulative retention rate of ANA at 12-, 24-, 48-, and 60-month of follow-up was 74.3%, 62.9%, 49.4%, and 49.4%, respectively, without any significant differences between sJIA and AOSD patients (p = 0.164), and between patients treated in monotherapy compared with the subgroup coadministered with conventional disease-modifying antirheumatic drugs (cDMARDs) (p = 0.473). On the other hand, a significant difference in DRR was found between biologic-naïve patients and those previously treated with biotechnologic drugs (p = 0.009), which persisted even after adjustment for pathology (p = 0.013). In the regression analysis, patients experiencing adverse events (AEs) {hazards ratio (HR) = 3.029 [confidence interval (CI) 1.750–5.242], p < 0.0001} and those previously treated with other biologic agents [HR = 1.818 (CI 1.007–3.282), p = 0.047] were associated with a higher HR of ANA discontinuation. The median treatment delay was significantly higher among patients discontinuing ANA (p < 0.0001). Significant corticosteroid-sparing (p = 0.033) and cDMARD-sparing effects (p < 0.0001) were also recorded. Less than one-third of our cohort developed AEs, and 85% were deemed mild in nature, with 70% of them involving the skin.

Conclusions: Our findings display an overall excellent DRR of ANA on the long run for both sJIA and AOSD, that may be further optimized by closely monitoring patient’s safety issues and employing this IL-1 inhibitor as a first-line biologic as early as possible. Moreover, ANA allowed a significant drug-sparing effect and showed an overall good safety profile.

Abstract 2709: Modulation of the tumor-infiltrating lymphocyte population by PARP inhibitor talazoparib in combination with anti-PD1 treatment significantly enhances overall survival in a murine BRCA1-/- breast cancer model

Targeted therapy of BRCA-deficient cancers has been achieved using poly(ADP-ribose) polymerase (PARP) inhibitors, which block BRCA-independent DNA repair. With first approval in 2014 of Olaparib the concept of tumor-specific synthetic lethality was added to the treatment portfolio of cancer patients. Although the effects of PARPi have shown promising results in multiple cancer types, how and whether patients might benefit from combination with compounds modulating the immune landscape of a tumor is largely unknown. In the current study, we investigate the cross-talk between PARPi and immune checkpoint inhibition, in particular, anti PD-1 and anti CTLA-4, as the most advanced targets in the field. PARP inhibitors Niraparib, Rucaparib, Talazoparib and Olaparib were investigated in vivo using the murine EMT6/BRCA1-/- model in monotherapy as well as in combination with anti-CTLA-4 or anti-PD1 treatment. The four PARPi showed distinct activity profiles in the two breast cancer models. Talazoparib was the most active compound in the BRCA1-/- model (optimal T/C (test/control) of 60%), followed by Niraparib and Rucaparib (65% and 67%, respectively). Olaparib was considered inactive with a T/C value of 80% in monotherapy. The EMT6/BRCA1-/- turned out to be sensitive towards anti CTLA-4 treatment (optimal T/C of 35% - 38% in three independent experiments). Anti PD-1 treatment in monotherapy induced no significant reduction in tumor growth (optimal T/C of 80% - 82%, in two independent experiments). The combination of PARPi and anti CTLA-4 induced a transient but significant reduction of tumor load early in the treatment phase (p&lt; 0.002, one-way ANOVA, day 8). However, anti PD-1 treatment significantly prolonged overall survival in combination with Talazoparib (p&lt; 0.011 log-rank test). The analysis of tumor infiltrating lymphocytes (TILs) by flow cytometry revealed that Talazoparib as monotherapy and in combination with checkpoint (CP) inhibitors enhanced the number of gMDSC as well as the number of CD3/CD11b double positive T cells. Weekly cytokine analysis in the serum of tumor bearing mice will elucidate possible interactions between PARP and CP inhibitors and give guidance to optimal combination and schedules. First results indicate that PARPi as well as CPi induce unique cytokine profiles correlating well with the modified TIL composition of the respective treatment groups. Further mechanistic studies as well as comparative studies with the EMT6/BRCAwt model will elucidate the tumor biology behind these observations and might lead to beneficial combination strategies in patients suffering from triple negative and BRCA1-/- breast cancer.

Citation Format: Anya Avrutskaya, Cordula Tschuch, Astrid Jensen, William Durham, Maycee Robinson, Charles Krause, Emily O’Koren, Gerhard Kelter, Anne-Lise Peille, Armin Maier, Anne-Marie Zuurmond, Julia Schüler. Modulation of the tumor-infiltrating lymphocyte population by PARP inhibitor talazoparib in combination with anti-PD1 treatment significantly enhances overall survival in a murine BRCA1-/- breast cancer model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2709.

Abstract 52: PDX-derived 3D InSightTM tumor microtissues as ex-vivo human experimental models for evaluating therapeutic responses

Background The selection of appropriate preclinical models comes always with the major question on how accurately and robustly they can represent the complexity of human disease. Patient-derived xenograft (PDX) models faithfully preserve the biological features and the genetic expression profile of human tumor specimens. However, one limiting aspect of patient-derived models is the replacement of the human host microenvironment by murine stroma within the tumor. Lack of cross-species compatibility compromises the induction of a broad range of signaling pathways that cannot be entirely recapitulated. With our in vitro 3D InSightTMTumor Microtissues derived from PDX lines, we provide a relevant physiological environment and a strategy to assess candidate drugs for novel therapeutic approaches.

Aim Development of in vitro 3D InSightTM Tumor Microtissues from PDX lines aimed to retain the cellular heterogeneity found in the original human tumor tissue.

Material & Methods and Results PDX cell suspensions of lung, breast and melanoma origin were successfully used to assess 3D aggregation in 96-well format and characterized over 10 days in culture. After careful removal of mouse cell contaminants in each PDX sample, 3D PDX cell cultures were supplied with exogenous normal human dermal fibroblasts (nHDF). Furthermore, to provide a more physiological cancer niche, PDX cells were also co-cultured with tumor-matched cancer-associated fibroblasts (CAFs). 3D in vitro tumors were analyzed histologically and cancer phenotypic alterations were evaluated through the analysis of epithelial-to-mesenchymal transition (EMT) markers. The morphology, viability and growth rate of PDX-derived microtumors were assessed by size analysis (cell scanner) and ATP assay. To assess the distribution of various cell populations within the tumor, 3D PDX samples were screened for standard stromal vs. epithelial-tumor cells markers (e.g. FAP, pan-CK, E-Cadherin), and diagnostic cancer type-specific biomarkers. 3D PDX samples were also employed to investigate the efficacy of specific targeted therapies based on distinct molecular signatures of PDX tumor models. Immunohistochemistry assessment of 3D microtumors validated the resemblance with their respective PDX tumor models. 3D tumor growth rate and cell behavior observations reflected the diversity of disease progression in vivo.

Conclusion Further efforts will focus on employing this platform to establish more complex co-cultures with integration of additional relevant stromal and immune cells, to enable a reliable preclinical translational research of tumor/immune cell interactions. We suggest that in vitro 3D PDX models offer a more suitable and robust approach to expedite faithful efficacy assessment of immunomodulators and approval of optimal drug candidates.

Citation Format: Francesca Chiovaro, Irina Agarkova, Nicole Buschmann, Chloe' Pichon, Teresa Langova, Armin Maier, Julia Schueler, Patrick Guye. PDX-derived 3D InSightTM tumor microtissues as ex-vivo human experimental models for evaluating therapeutic responses [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 52.

Probe-based confocal laser endomicroscopy in detecting malignant lesions of vocal folds

Probe-based confocal laser endomicroscopy (CLE) is an innovative technique for real-time, non-invasive analysis of the surface epithelium. While being successfully used for diagnosis by experts, this method has not yet been established in clinical routine, partly due to the lack of standards and criteria for classifying various lesions. Our aim was to determine the diagnostic value and inter-rater reliability of CLE in detecting malignant lesions of the vocal cords. 58 video sequences were extracted from the probe-based CLE (GastroFlex probe with a Cellvizio^® laser system) examinations of 3 patients with squamous cell carcinomas and 4 patients with benign alterations of the vocal folds. Two ENT surgeons, who were blinded to the histological result, were asked to identify the sequences representing a carcinoma. We showed an accuracy, sensitivity, specificity, PPV and NPV of 91.38-96.55%, 100%, 87.8-95.2%, 77.27-89.47% and 100%, respectively, with an inter-rater reliability of k = 0.89 (“almost perfect agreement”). Probe-based CLE is a promising method for diagnosis and assessment of vocal fold lesions in vivo. Our results suggest that, with adequate training, the diagnostic value of this technique can be improved and potentially provide important information during oncological surgery.

Ärztliche Kompetenzentwicklung im Kinderschutz durch E-Learning

Gegenstand und Ziel: Kindesmisshandlung stellt eine individuelle und gesellschaftliche Belastung dar. Gesundheitsfachkräfte sind hierbei wichtige Akteure, haben aber häufig unzureichende Kompetenzen. Deshalb fördert das Bundesministerium für Gesundheit die Entwicklung eines Online-Kurses zu Kinderschutz in der Medizin. Diese Arbeit stellt erste Ergebnisse der Kursevaluation für die ärztlichen Teilnehmenden vor. Material und Methoden: Vor und nach Bearbeitung des Kurses wurde Bedarf, Qualität und Kompetenzvermittlung des Online-Kurses mittels Fragebögen evaluiert. An der Befragung beteiligten sich 178 ärztliche Absolventen. Ergebnisse: 74,2% der Befragten empfanden die Inhalte des Kurses als genau angemessen. Wissen und Handlungskompetenz nahmen durch Bearbeitung des Kurses signifikant zu (Cohen’s d = 1,28 und 1,06). Der häufigste Grund für den Abbruch des Kurses waren mangelnde zeitliche Ressourcen (68,4%). Schlussfolgerungen: Der Online-Kurs stellt eine gute Möglichkeit dar, notwendige Kenntnisse zu Kinderschutz in der Medizin zu erwerben oder diese auszubauen. Klinische Relevanz: Es müssen Möglichkeiten geschaffen werden, um die Verbreitung der Kursinhalte noch weiter voranzutreiben.

The Dermal Exposure Risk Management and Logic eTookit: Characterizing and managing dermal exposure during emergency management operations

OBJECTIVE

Emergency management and operations (EMO) personnel require up-to-date information to make informed decisions during natural and man-made disasters. However, information gaps present challenges for accessing human health risk assessment and risk management strategies for dermal exposure. This article describes the development of a decision support system, the Dermal Exposure Risk Management and Logic (DERMaL) eToolkit.

DESIGN

The DERMaL eToolkit provides information on key resources used in emergency incidents. Resources were classified according to response phase, resource categories, and information category and evaluated on reliability, accessibility, and preference by subject matter experts in emergency management fields. These rankings were used to generate a value of information score, unique for each resource, which aids in developing reference lists for users during each incident phase.

RESULTS

This tool will identify and prioritize information resources on dermal risks, and can readily find the most relevant information to suit EMO needs.

CONCLUSION

The DERMaL eToolkit can be used as an aid in finding information resources targeted to scenario-driven needs by providing well-vetted and prioritized resources related to dermal hazards, exposure, and risk assessments for EMO.