Inge Ambros

Inge Ambros
Children's Cancer Research Institute | CCRI · Tumour Biology

MD

About

202
Publications
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7,925
Citations
Citations since 2016
70 Research Items
2464 Citations
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Publications

Publications (202)
Article
Full-text available
In neuroblastoma, MYCN amplification and 11q-deletion are important, although incomplete, markers of high-risk disease. It is therefore relevant to characterize additional alterations that can function as prognostic and/or predictive markers. Using SNP-microarrays, a group of neuroblastoma patients showing amplification of one or multiple 12q loci...
Article
Introduction: Neuroblastoma is the most common solid tumor in infants and arises from progenitor cells during sympathoadrenal development. While the majority of primary tumor cells resembles adrenergic neurons, more undifferentiated mesenchymal or neural-crest cell-like phenotypes have been found, especially in pretreated and high-risk cases. In mo...
Preprint
Full-text available
The plastic potential of Schwann cells (SCs) is increasingly recognized to play a role after nerve injury and in diseases of the peripheral nervous system. In addition, reports on the interaction between SCs and immune cells indicate their involvement in inflammatory processes. However, data about the immunocompetence of human SCs are primarily der...
Article
Full-text available
Intratumour heterogeneity is a major cause of treatment failure in cancer. We present in-depth analyses combining transcriptomic and genomic profiling with ultra-deep targeted sequencing of multiregional biopsies in 10 patients with neuroblastoma, a devastating childhood tumour. We observe high spatial and temporal heterogeneity in somatic mutation...
Article
Full-text available
Purpose Neuroblastoma (NB) is the most frequent extracranial tumor in children. The detection of bone marrow (BM) involvement is crucial for correct staging and risk-adapted treatment. We compared three methods regarding the detection of NB involvement in BM. Methods Eighty-one patients with NB were included in this retrospective study. BM samples...
Article
Full-text available
While the bone marrow attracts tumor cells in many solid cancers leading to poor outcome in affected patients, comprehensive analyses of bone marrow metastases have not been performed on a single-cell level. We here set out to capture tumor heterogeneity and unravel microenvironmental changes in neuroblastoma, a solid cancer with bone marrow involv...
Article
Full-text available
Sequencing of cell-free DNA in the blood of cancer patients (liquid biopsy) provides attractive opportunities for early diagnosis, assessment of treatment response, and minimally invasive disease monitoring. To unlock liquid biopsy analysis for pediatric tumors with few genetic aberrations, we introduce an integrated genetic/epigenetic analysis met...
Article
Full-text available
Separating and labeling each nuclear instance (instance-aware segmentation) is the key challenge in nuclear image segmentation. Deep Convolutional Neural Networks have been demonstrated to solve nuclear image segmentation tasks across different imaging modalities, but a systematic comparison on complex immunofluorescence images has not been perform...
Article
Full-text available
Adult Schwann cells (SCs) possess an inherent plastic potential. This plasticity allows SCs to acquire repair-specific functions essential for peripheral nerve regeneration. Here, we investigate whether stromal SCs in benign-behaving peripheral neuroblastic tumors adopt a similar cellular state. We profile ganglioneuromas and neuroblastomas, rich a...
Article
Full-text available
We evaluated long-term outcome and genomic profiles in the Austrian Neuroblastoma Trial A-NB94 which applied a risk-adapted strategy of treatment (RAST) using stage, age and MYCN amplification (MNA) status for stratification. RAST ranged from surgery only to intensity-adjusted chemotherapy, single or multiple courses of high-dose chemotherapy (HDT)...
Preprint
Full-text available
Bone marrow commonly serves as a metastatic niche for disseminated tumor cells (DTCs) of solid cancers in patients with unfavorable clinical outcome. Single-cell assessment of bone marrow metastases is essential to decipher the entire spectrum of tumor heterogeneity in these cancers, however, has previously not been performed. Here we used multi-ep...
Article
Full-text available
Purpose: For localized, resectable neuroblastoma without MYCN amplification, surgery only is recommended even if incomplete. However, it is not known whether the genomic background of these tumors may influence outcome. Patients and methods: Diagnostic samples were obtained from 317 tumors, International Neuroblastoma Staging System stages 1/2A/...
Article
Full-text available
Fully-automated nuclear image segmentation is the prerequisite to ensure statistically significant, quantitative analyses of tissue preparations,applied in digital pathology or quantitative microscopy. The design of segmentation methods that work independently of the tissue type or preparation is complex, due to variations in nuclear morphology, st...
Article
Full-text available
Liquid biopsies as minimally invasive approach have the potential to revolutionize molecular diagnostics. Yet while protocols for sample handling and the isolation of circulating tumor DNA (ctDNA) are numerous, comprehensive guidelines for diagnostics and research considering all aspects of real-life multi-center clinical studies are currently not...
Preprint
Full-text available
The remarkable plasticity of Schwann cells (SCs) enables the acquisition of repair-specific functions essential for peripheral nerve regeneration. We hypothesized that this plastic potential is manifested in stromal SCs found within mostly benign-behaving peripheral neuroblastic tumors. To shed light on the cellular state and impact of stromal SCs,...
Preprint
Full-text available
Separating and labeling each instance of a nucleus (instance-aware segmentation) is the key challenge in segmenting single cell nuclei on fluorescence microscopy images. Deep Neural Networks can learn the implicit transformation of a nuclear image into a probability map indicating the class membership of each pixel (nucleus or background), but the...
Poster
Full-text available
Deep learning (DL) algorithms are achieving or even surpassing human-level performance in tasks like image classification or segmentation. Due to their fast development and exceptional performance, DL algorithms were introduced in various life science domains such as biomedical imaging, bioinformatics or computational biology. However, the outcome...
Article
Clinical decision-making in cancer and other diseases relies on timely and cost-effective genome-wide testing. Classical bioinformatic algorithms, such as Rawcopy, can support genomic analysis by calling genomic breakpoints and copy-number variations (CNVs), but often require manual data curation, which is error prone, time-consuming, and thus subs...
Article
Background: Poor prognosis and frequent relapses are major challenges for patients with high-risk neuroblastoma (NB), especially when tumors show amplification. High-dose chemotherapy triggers apoptosis, necrosis, and senescence, a cellular stress response leading to permanent proliferative arrest and a typical senescence-associated secretome (SASP...
Article
Neuroblastoma (NB) is the most common tumor diagnosed in the first year of life. More than 90% of stage M NB patients present with disseminated tumor cells (DTCs) in the bone marrow (BM). Although these cells represent a major obstacle to treatment, their global gene expression has, so far, been only poorly analyzed. GD2POS DTCs of stage M NB patie...
Preprint
Full-text available
Presented at WCB - Joint ICML and IJCAI 2018 Workshop on Computational Biology Diagnosis and risk stratification of cancer and many other diseases require the detection of genomic breakpoints as a prerequisite of calling copy number alterations (CNA). This, however, is still challenging and requires time-consuming manual curation. As deep-learning...
Preprint
Full-text available
Presented at WCB - Joint ICML and IJCAI 2018 Workshop on Computational Biology. Diagnosis and risk stratification of cancer and many other diseases require the detection of genomic breakpoints as a prerequisite of calling copy number alterations (CNA). This, however, is still challenging and requires time-consuming manual curation. As deep-learning...
Article
Full-text available
Background: In neuroblastoma (NB), the most powerful prognostic marker, the MYCN amplification (MNA), occasionally shows intratumoural heterogeneity (ITH), i.e. coexistence of MYCN-amplified and non-MYCN-amplified tumour cell clones, called heterogeneous MNA (hetMNA). Prognostication and therapy allocation are still unsolved issues. Methods: The...
Chapter
This chapter emphasizes detailed protocols for the effective establishment of highly enriched human Schwann cell cultures and their characterization via immunostaining. The Schwann cells are isolated from immediately dissociated fascicle tissue and expanded prior to purification. Two purification methods are described that use either fluorescence-a...
Article
Full-text available
Background: Neuroblastoma is characterized by substantial clinical heterogeneity. Despite intensive treatment, the survival rates of high-risk neuroblastoma patients are still disappointingly low. Somatic chromosomal copy number aberrations have been shown to be associated with patient outcome, particularly in low- and intermediate-risk neuroblasto...
Article
Full-text available
Neuroblastoma is the most common extracranial solid tumor in childhood. The vast majority of metastatic (M) stage patients present with disseminated tumor cells (DTCs) in the bone marrow (BM) at diagnosis and relapse. Although these cells represent a major obstacle in the treatment of neuroblastoma patients, insights into their expression profile r...
Article
Full-text available
Purpose: Tumor relapse is the most frequent cause of death in stage 4 neuroblastomas. Since genomic information on the relapse precursor cells could guide targeted therapy, our aim was to find the most appropriate tissue for identifying relapse-seeding clones. Experimental design: We analyzed 10 geographically and temporally separated samples of...
Article
Full-text available
Introduction Tumor touch imprints (TTIs) are routinely used for the molecular diagnosis of neuroblastomas by interphase fluorescence in-situ hybridization (I-FISH). However, in order to facilitate a comprehensive, up-to-date molecular diagnosis of neuroblastomas and to identify new markers to refine risk and therapy stratification methods, whole ge...
Data
Detailed SNP array and I-FISH results of neuroblastoma samples. This table lists segmental chromosomal aberrations typical for neuroblastomas (SCAs) and SCAs of so far unknown diagnostic relevance (atypical SCA), numerical chromosomal aberrations (NCAs), and aberrant copy numbers of single genes of selected chromosomes. Corresponding I-FISH results...
Data
SNP array and I-FISH results of non-neuroblastoma TTI samples. This table presents SCAs, NCAs, wc cnLOHs and altered single genes of possible interest in one Ewing tumor (ES01), one desmoplastic small round cell tumor (DSRCT01), one medulloblastoma (MB01) and one osteosarcoma (OS01). (XLSX)
Article
Full-text available
Intracranial classic (WHO grade II) and anaplastic (WHO grade III) ependymomas are among the most common tumors in pediatric patients and have due to frequent recurrences and late relapses a relatively poor outcome. The impact of histopathological grading on patient outcome is controversial and therefore, molecular prognostic and predictive markers...
Article
Full-text available
The remarkable feature of Schwann cells (SCs) to transform into a repair phenotype turned the spotlight on this powerful cell type. SCs provide the regenerative environment for axonal re-growth after peripheral nerve injury (PNI) and play a vital role in differentiation of neuroblastic tumors into a benign subtype of neuroblastoma, a tumor originat...
Conference Paper
MYCN-amplification and 11q-deletion are important, although incomplete, markers of high-risk neuroblastoma. Thus, characterization of additional genomic alterations that can be used as prognostic and/or predictive markers is of clinical importance in order to provide best treatment possible. By using SNP-microarrays we identified a small group of n...