Retracing RAS signaling by correlating protein expression in different subtypes of neurofibromatosis 1-associated nerve sheath tumors.

AIMS: Expression patterns of key proteins involved in RAS signaling and connected pathways were determined and correlated to possibly provide information for therapeutic application of RAS inhibitors in neurofibromatosis type 1 (NF1)-associated peripheral nerve sheath tumors (PNST). MATERIALS AND METHODS: Clinical variables (age, sex), histological parameters (cell density, mitoses), and expression of immunohistochemically evaluated ligand and receptor proteins (neuregulin 1 (NRG1), ErbB2, ErbB3), RAS pathway proteins (mTor, Rho, phosphorylated MEK), transcription factors (Pax7, Sox9), and proliferation marker Ki-67, were correlated in cutaneous (CNF, n = 136), diffuse (DNF, n = 123)/diffuse plexiform (DPNF, n = 113), and plexiform neurofibroma (PNF, n = 126), and in malignant PNST (MPNST, n = 22). RESULTS: In CNF, NRG1 correlated with Ki-67 and Pax7. Further, mTOR correlated with ErbB3, Sox9, Pax7, and Ki-67. In DNF/DPNF, expression of NRG1 correlated with pMEK and Pax7. mTOR correlated with pMEK, Sox9, and Pax7. Noteworthy, pMEK was weakly expressed in some DNF but not in DPNF. ErbB3 correlated with mTor and Ki-67. Furthermore, Rho correlated with Pax7 and Ki-67. In PNF, ErbB3 expression was associated with Sox9, mTOR, pMEK, and Pax7 as well as mTOR with Sox9 and Pax7, Rho with pMEK and Pax7, and pMEK with Pax7 and Sox9. In MPNST, only few correlations were observed, ErbB2 correlated with Ki-67, and Rho with pMEK. CONCLUSION: Signaling networks of the RAS pathway could be retraced by correlation analysis of protein expression in subgroups of NF1 associated benign PNST. In regard to treatment of PNST, MEK inhibitors, which are presently evaluated for PNF, may possibly also be effective to some extent in DNF.

Microscope-integrated optical coherence tomography for in vivo human brain tumor detection with artificial intelligence.

OBJECTIVE: It has been shown that optical coherence tomography (OCT) can identify brain tumor tissue and potentially be used for intraoperative margin diagnostics. However, there is limited evidence on its use in human in vivo settings, particularly in terms of its applicability and accuracy of residual brain tumor detection (RTD). For this reason, a microscope-integrated OCT system was examined to determine in vivo feasibility of RTD after resection with automated scan analysis. METHODS: Healthy and diseased brain was 3D scanned at the resection edge in 18 brain tumor patients and investigated for its informative value in regard to intraoperative tissue classification. Biopsies were taken at these locations and labeled by a neuropathologist for further analysis as ground truth. Optical OCT properties were obtained, compared, and used for separation with machine learning. In addition, two artificial intelligence-assisted methods were utilized for scan classification, and all approaches were examined for RTD accuracy and compared to standard techniques. RESULTS: In vivo OCT tissue scanning was feasible and easily integrable into the surgical workflow. Measured backscattered light signal intensity, signal attenuation, and signal homogeneity were significantly distinctive in the comparison of scanned white matter to increasing levels of scanned tumor infiltration (p < 0.001) and achieved high values of accuracy (85%) for the detection of diseased brain in the tumor margin with support vector machine separation. A neuronal network approach achieved 82% accuracy and an autoencoder approach 85% accuracy in the detection of diseased brain in the tumor margin. Differentiating cortical gray matter from tumor tissue was not technically feasible in vivo. CONCLUSIONS: In vivo OCT scanning of the human brain has been shown to contain significant value for intraoperative RTD, supporting what has previously been discussed for ex vivo OCT brain tumor scanning, with the perspective of complementing current intraoperative methods for this purpose, especially when deciding to withdraw from further resection toward the end of the surgery.

Raman difference spectroscopy and U-Net convolutional neural network for molecular analysis of cutaneous neurofibroma.

In Neurofibromatosis type 1 (NF1), peripheral nerve sheaths tumors are common, with cutaneous neurofibromas resulting in significant aesthetic, painful and functional problems requiring surgical removal. To date, determination of adequate surgical resection margins-complete tumor removal while attempting to preserve viable tissue-remains largely subjective. Thus, residual tumor extension beyond surgical margins or recurrence of the disease may frequently be observed. Here, we introduce Shifted-Excitation Raman Spectroscopy in combination with deep neural networks for the future perspective of objective, real-time diagnosis, and guided surgical ablation. The obtained results are validated through established histological methods. In this study, we evaluated the discrimination between cutaneous neurofibroma (n = 9) and adjacent physiological tissues (n = 25) in 34 surgical pathological specimens ex vivo at a total of 82 distinct measurement loci. Based on a convolutional neural network (U-Net), the mean raw Raman spectra (n = 8,200) were processed and refined, and afterwards the spectral peaks were assigned to their respective molecular origin. Principal component and linear discriminant analysis was used to discriminate cutaneous neurofibromas from physiological tissues with a sensitivity of 100%, specificity of 97.3%, and overall classification accuracy of 97.6%. The results enable the presented optical, non-invasive technique in combination with artificial intelligence as a promising candidate to ameliorate both, diagnosis and treatment of patients affected by cutaneous neurofibroma and NF1.

Phase unwrapping for MHz optical coherence elastography and application to brain tumor tissue.

During neuro-oncologic surgery, phase-sensitive optical coherence elastography (OCE) can be valuable for distinguishing between healthy and diseased tissue. However, the phase unwrapping process required to retrieve the original phase signal is a challenging and critical task. To address this issue, we demonstrate a one-dimensional unwrapping algorithm that recovers the phase signal from a 3.2 MHz OCE system. With a processing time of approximately 0.11 s per frame on the GPU, multiple 2π wraps are detected and corrected. By utilizing this approach, exact and reproducible information on tissue deformation can be obtained with pixel accuracy over the entire acquisition time. Measurements of brain tumor-mimicking phantoms and human ex vivo brain tumor samples verified the algorithm's reliability. The tissue samples were subjected to a 200 ms short air pulse. A correlation with histological findings confirmed the algorithm's dependability.

Expression of Ras signaling pathway proteins and developmental factors in peripheral nerve sheath tumors of patients with neurofibromatosis type 1.

PURPOSE: To characterize expression of factors relevant for Ras signaling and developmental factors in a large series of peripheral nerve sheath tumors (PNST) obtained from patients with neurofibromatosis type 1 (NF1). MATERIALS AND METHODS: Tissue micro-array technique was applied to study 520 PNST of 385 NF1 patients by immunohistochemistry for mTor, Rho, phosphorylated MEK, Pax7, Sox9, and periaxin expression. PNST comprised cutaneous neurofibroma (CNF) (n = 114), diffuse neurofibroma (DNF) (n = 109), diffuse plexiform neurofibroma (DPNF) (n = 108), plexiform neurofibroma (PNF) (n = 110), and malignant PNST (MPNST) (n = 22). RESULTS: All proteins examined showed highest expression levels/highest frequency of expression in MPNST. Benign PNF with potential for malignant dedifferentiation expressed mTor, phosphorylated MEK, Sox9, and periaxin significantly higher/more frequently than other benign neurofibroma subtypes. CONCLUSION: In NF1-associated PNST, expression of proteins involved in Ras-signaling and development is upregulated not only in MPNST, but also in benign PNF with the potential for malignant dedifferentiation. The differences in protein expression may provide clues for understanding the therapeutic effects of substances applied for reduction of PNST in NF1.

[Pediatric Intracranial Ependymoma - Recommendations for First-Line Treatment from the German HIT-MED study group]. / Kinder und Jugendliche mit intrakraniellem Ependymom ­ Empfehlungen der HIT-MED-Studiengruppe der GPOH zur Erstlinientherapie.

Biological subtypes of ependymoma (EPN) have been introduced by the recent WHO classification and appear to have great impact on the clinical course, but have not yet found their way into clinical risk stratification. Further, the overall unfavorable prognosis underlines the fact that current therapeutic strategies need further evaluation for improvement. To date, there is no international consensus regarding first-line treatment for children with intracranial EPN. Extent of resection is known to be the most important clinical risk factor, leading to the consensus that consequent evaluation for re-surgery of postoperative residual tumor needs to have highest priority. Furthermore, efficacy of local irradiation is unquestioned and recommended for patients aged>1 year. In contrast, efficacy of chemotherapy is still under discussion. The European trial SIOP Ependymoma II aims at evaluating efficacy of different chemotherapy elements, leading to the recommendation to include German patients. The BIOMECA study, as biological accompanying study, aims at identifying new prognostic parameters. These results might help to develop targeted therapies for unfavorable biological subtypes. For patient who are not qualified for inclusion into the interventional strata, the HIT-MED Guidance 5.2 provides specific recommendations. This article is meant as an overview of national guidelines regarding diagnostics and treatment as well as of treatment according to the SIOP Ependymoma II trial protocol.

The neurosurgical benefit of contactless in vivo optical coherence tomography regarding residual tumor detection: A clinical study.

Purpose: In brain tumor surgery, it is crucial to achieve complete tumor resection while conserving adjacent noncancerous brain tissue. Several groups have demonstrated that optical coherence tomography (OCT) has the potential of identifying tumorous brain tissue. However, there is little evidence on human in vivo application of this technology, especially regarding applicability and accuracy of residual tumor detection (RTD). In this study, we execute a systematic analysis of a microscope integrated OCT-system for this purpose. Experimental design: Multiple 3-dimensional in vivo OCT-scans were taken at protocol-defined sites at the resection edge in 21 brain tumor patients. The system was evaluated for its intraoperative applicability. Tissue biopsies were obtained at these locations, labeled by a neuropathologist and used as ground truth for further analysis. OCT-scans were visually assessed with a qualitative classifier, optical OCT-properties were obtained and two artificial intelligence (AI)-assisted methods were used for automated scan classification. All approaches were investigated for accuracy of RTD and compared to common techniques. Results: Visual OCT-scan classification correlated well with histopathological findings. Classification with measured OCT image-properties achieved a balanced accuracy of 85%. A neuronal network approach for scan feature recognition achieved 82% and an auto-encoder approach 85% balanced accuracy. Overall applicability showed need for improvement. Conclusion: Contactless in vivo OCT scanning has shown to achieve high values of accuracy for RTD, supporting what has well been described for ex vivo OCT brain tumor scanning, complementing current intraoperative techniques and even exceeding them in accuracy, while not yet in applicability.

Atypical neurofibromas reveal distinct epigenetic features with proximity to benign peripheral nerve sheath tumor entities.

BACKGROUND: Plexiform neurofibromas can transform into atypical neurofibromas (ANF) and then further progress to aggressive malignant peripheral nerve sheath tumors (MPNST). ANF have been described to harbor distinct histological features and frequent loss of CDKN2A/B. However, histological evaluation may be rater-dependent, and detailed knowledge about the molecular mechanisms of malignant transformation is scarce. In general, malignant transformation can be accompanied by significant epigenetic changes, and global DNA methylation profiling is able to differentiate relevant tumor subgroups. Therefore, epigenetic profiling might provide a valuable tool to distinguish and characterize ANF with differing extent of histopathological atypia from neurofibromas and MPNST. METHODS: We investigated 40 tumors histologically diagnosed as ANF and compared their global methylation profile to other peripheral nerve sheath tumors. RESULTS: Unsupervised class discovery and t-SNE analysis indicated that 36/40 ANF cluster with benign peripheral nerve sheath tumors with clear separation from MPNST. 21 ANF formed a molecularly distinct cluster in proximity to schwannomas. Tumors in this cluster had a frequent heterozygous or homozygous loss of CDKN2A/B and significantly more lymphocyte infiltration than MPNST, schwannomas, and NF. Few ANF clustered closely with neurofibromas, schwannomas, or MPNST, raising the question, whether diagnosis based on histological features alone might pose a risk to both over- and underestimate the aggressiveness of these lesions. CONCLUSIONS: Our data suggest that ANF with varying histological morphology show distinct epigenetic similarities and cluster in proximity to benign peripheral nerve sheath tumor entities. Future investigations should pay special respect to correlating this methylation pattern to clinical outcomes.

Pontine autosomal dominant microangiopathy with leukoencephalopathy: Col4A1 gene variants in the original family and sporadic stroke.

BACKGROUND: (1) Description of clinical and cranial MRI features in the original Pontine Autosomal Dominant Microangiopathy with Leukoencephalopathy (PADMAL) family and correlation with the segregation analysis of the causative collagen 4A1 gene (COL4A1) variant. (2) Sequence analysis of the COL4A1 miRNA-binding site containing the causative variant in two independent cross-sectional samples of sporadic stroke patients. PATIENTS AND METHODS: Sanger sequencing of the COL4A1 miRNA-binding site in the PADMAL family and 874 sporadic stroke patients. RESULTS: PADMAL shows adult-onset usually between 30 and 50 years of age with initial brainstem-related symptoms most commonly dysarthria, with progression to dementia and tetraparesis. Radiologically pontine lacunes are followed by supratentorial white matter involvement. Radiological onset may precede clinical symptoms. We found no variants in the COL4A1 miRNA-binding site of sporadic stroke patients. CONCLUSION: Our results allow an early diagnosis of PADMAL based on cranial MRI, clinical signs, and confirmatory sequencing of the COL4A1 miRNA-29-binding site. COL4A1 miRNA-29-binding site variants do not contribute to a sizeable proportion of sporadic stroke.

Unveiling the identities of null cell tumours: Epigenomics corroborate subtle histological cues in pituitary neuroendocrine tumour/adenoma classification.

AIMS: Pituitary neuroendocrine tumour (PitNET)/adenoma classification is based on cell lineage and requires immunopositivity for adenohypophysial hormones and/or transcription factors (TFs) steroidogenic factor 1 (SF1), T-box transcription factor TBX19 (TPIT) or pituitary-specific positive transcription factor 1 (PIT1). PitNET/adenomas lacking lineage affiliation are termed 'null cell' tumours (NCTs). NCT diagnosis may be afflicted by methodological limitations and inconsistent diagnostic approaches. Previous studies have questioned the existence of true NCTs. In this study, we explore the epigenomic identities of PitNET/adenomas lacking clear TF immunopositivity. METHODS: Seventy-four hormone-negative PitNET/adenomas were immunostained and scored for SF1, TPIT and PIT1 expression. All tumours were classified as gonadotroph, corticotroph, PIT1-positive or 'null cell'. NCTs were subjected to global DNA methylation analysis. Epigenomic profiles of NCTs were compared to reference tumours using Uniform Manifold Approximation and Projection (UMAP) plotting and methylation-based classification. RESULTS: TF immunostaining revealed definite lineage identity in 59 of 74 (79.7%) hormone-negative PitNET/adenomas. Of the remaining 15 NCTs, 13 demonstrated minimal and inconclusive nuclear SF1 or TPIT expression (5 and 8, respectively). Two NCTs were entirely immunonegative. UMAP plotting and methylation-based classification demonstrated that the epigenomes of NCTs with minimal SF1 or TPIT expression were adequately affiliated with gonadotroph or corticotroph lineages, respectively. The two immunonegative NCTs were located near the corticotroph PitNET/adenomas via UMAP, whereas the methylation classifier could not match these two cases to predefined tumour classes. CONCLUSIONS: Epigenomic analyses substantiate lineage identification based on minimal TF immunopositivity in PitNET/adenomas. This strategy dramatically decreases the incidence of NCTs and further challenges the legitimacy of NCTs as a distinct PitNET/adenoma subtype. Our study may be useful for guiding diagnostic efforts and future considerations of PitNET/adenoma classification.

Comparative study of two re-embedding methods on the ultrastructure of corneal tissue.

PURPOSE: To expand the routine of pathological diagnostics of surgical keratoplasty specimens via transmission electron microscopy. The target was to identify the best re-embedding method for optimal structural preservation of formalin fixed paraffin embedded (FFPE) corneal tissue re-embedded into resin for ultrastructural analysis. BASIC PROCEDURES: Bovine FFPE corneal tissue was re-embedded into resin with either a rapid osmium-free four-hour-method or a four-day-routine-method known from nephropathology, compared with primary resin embedded bovine corneal tissue. The analysis involved the ultrastructure of cytoplasm, the intercellular interfaces of superficial epithelial cells, deepest basal epithelial cells and corneal endothelial cells, cell matrix interfaces, Bowman layer, corneal stroma, its microfibril bundles and Descemet membrane. MAIN FINDINGS: The main observation was the equally reduced preservation status of re-embedded FFPE corneal tissue independent of the used re-embedding method. This extends to the intercellular contacts of superficial epithelial cells and the apical tight junctions of corneal endothelial cells. Hemidesmosomal cell matrix contacts showed less demarcation in re-embedded specimens. Cell matrix interfaces of Bowman layer and Descemet membrane were more clearly bordered in primary resin embedded than re-embedded tissue. In contrast, gap junctions in re-embedded tissue were detected in deepest basal epithelial cells and corneal endothelial cells with comparable preservation to primary resin embedding. Bowman layer, corneal stromal extracellular matrix, its microfibril bundles and Descemet membrane showed equal ultrastructural preservation in all evaluated methods. PRINCIPAL CONCLUSION: Corneal tissue can be successfully analysed with transmission electron microscopy after a rapid osmium-free four hour re-embedding procedure from FFPE material. A comparable morphology with primary resin embedded material can be obtained for gap junctions of deepest basal epithelial cells and corneal endothelial cells, further for Bowman layer, corneal stromal extracellular matrix, its microfibril bundles and Descemet membrane.

Differentiation of different stages of brain tumor infiltration using optical coherence tomography: Comparison of two systems and histology.

The discrimination of tumor-infiltrated tissue from non-tumorous brain tissue during neurosurgical tumor excision is a major challenge in neurosurgery. It is critical to achieve full tumor removal since it directly correlates with the survival rate of the patient. Optical coherence tomography (OCT) might be an additional imaging method in the field of neurosurgery that enables the classification of different levels of tumor infiltration and non-tumorous tissue. This work investigated two OCT systems with different imaging wavelengths (930 nm/1310 nm) and different resolutions (axial (air): 4.9 µm/16 µm, lateral: 5.2 µm/22 µm) in their ability to identify different levels of tumor infiltration based on freshly excised ex vivo brain samples. A convolutional neural network was used for the classification. For both systems, the neural network could achieve classification accuracies above 91% for discriminating between healthy white matter and highly tumor infiltrated white matter (tumor infiltration >60%) .This work shows that both OCT systems with different optical properties achieve similar results regarding the identification of different stages of brain tumor infiltration.

Ezrin deficiency triggers glial fibrillary acidic protein upregulation and a distinct reactive astrocyte phenotype.

Astrocytes are increasingly being recognized as contributors to physiological brain function and behavior. Astrocytes engage in glia-synaptic interactions through peripheral astrocyte processes, thus modulating synaptic signaling, for example, by handling glutamate removal from the synaptic cleft and (re)provision to axonal terminals. Peripheral astrocyte processes are ultrafine membrane protrusions rich in the membrane-to-actin cytoskeleton linker Ezrin, an essential component of in vitro filopodia formation and in vivo peripheral astrocyte process motility. Consequently, it has been postulated that Ezrin significantly contributes to neurodevelopment as well as astrocyte functions within the adult brain. However, while Ezrin has been studied in vitro within cultured primary astrocytes, in vivo studies on the role of Ezrin in astrocytes remain to be conducted and consequences of its depletion to be studied. Here, we investigated consequences of Ezrin deletion in the mouse brain starting from early neuronal specification. While Ezrin knockout did not impact prenatal cerebral cortex development, behavioral phenotyping depicted reduced exploratory behavior. Starting with postnatal appearance of glia cells, Ezrin was verified to remain predominantly expressed in astrocytes. Proteome analysis of Ezrin deficient astrocytes revealed alterations in glutamate and ion homeostasis, metabolism and cell morphology - important processes for synaptic signal transmission. Notably, Ezrin deletion in astrocytes provoked (GFAP) glial fibrillary acidic protein upregulation - a marker of astrocyte activation and reactive astrogliosis. However, this spontaneous, reactive astrogliosis exhibited proteome changes distinct from ischemic-induced reactive astrogliosis. Moreover, in experimental ischemic stroke, Ezrin knockout mice displayed reduced infarct volume, indicating a protective effect of the Ezrin deletion-induced changes and astrogliosis.

Evidence of beta amyloid independent small vessel disease in familial Alzheimer's disease.

We studied small vessel disease (SVD) pathology in Familial Alzheimer's disease (FAD) subjects carrying the presenilin 1 (PSEN1) p.Glu280Ala mutation in comparison to those with sporadic Alzheimer's disease (SAD) as a positive control for Alzheimer's pathology and Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) bearing different NOTCH3 mutations, as positive controls for SVD pathology. Upon magnetic resonance imaging (MRI) in life, some FAD showed mild white matter hyperintensities and no further radiologic evidence of SVD. In post-mortem studies, total SVD pathology in cortical areas and basal ganglia was similar in PSEN1 FAD and CADASIL subjects, except for the feature of arteriosclerosis which was higher in CADASIL subjects than in PSEN1 FAD subjects. Further only a few SAD subjects showed a similar degree of SVD pathology as observed in CADASIL. Furthermore, we found significantly enlarged perivascular spaces in vessels devoid of cerebral amyloid angiopathy in FAD compared with SAD and CADASIL subjects. As expected, there was greater fibrinogen-positive perivascular reactivity in CADASIL but similar reactivity in PSEN1 FAD and SAD groups. Fibrinogen immunoreactivity correlated with onset age in the PSEN1 FAD cases, suggesting increased vascular permeability may contribute to cognitive decline. Additionally, we found reduced perivascular expression of PDGFRß AQP4 in microvessels with enlarged PVS in PSEN1 FAD cases. We demonstrate that there is Aß-independent SVD pathology in PSEN1 FAD, that was marginally lower than that in CADASIL subjects although not evident by MRI. These observations suggest presence of covert SVD even in PSEN1, contributing to disease progression. As is the case in SAD, these consequences may be preventable by early recognition and actively controlling vascular disease risk, even in familial forms of dementia.

Recurrent Mandibular Giant Cell Lesion in Neurofibromatosis Type 1: Second Hit Mutation on the NF1 Gene in the Osseous Lesion.

BACKGROUND/AIM: In the autosomal dominant hereditary disease neurofibromatosis type 1 (NF1), lesions of the jaw develop in isolated cases, which are diagnosed as central giant cell granuloma (CGCG). This study aimed to clarify the genetic basis of a bone lesion in a syndromic patient. CASE REPORT: The NF1 patient had developed a CGCG that recurred after local excision. Blood and tumor tissue were studied for NF1 mutations using advanced molecular genetic methods. Examinations of blood and tumor tissue provided evidence of the constitutive mutation in both samples. A further mutation was detected in the tumor, which was interpreted as a somatic mutation. The detection of somatic mutation in the tissue was successful both on native and routinely fixed material. CONCLUSION: The study supports current assessments of CGCG as a benign neoplasm. In NF1 patients, the phenotype seems to imply bi-allelic loss of the NF1 gene. The detection of both mutations in routinely fixed tissue allows studies of archived tissue samples with this diagnosis.

Registration of histological brain images onto optical coherence tomography images based on shape information.

Identifying tumour infiltration zones during tumour resection in order to excise as much tumour tissue as possible without damaging healthy brain tissue is still a major challenge in neurosurgery. The detection of tumour infiltrated regions so far requires histological analysis of biopsies taken from at expected tumour boundaries. The gold standard for histological analysis is the staining of thin cut specimen and the evaluation by a neuropathologist. This work presents a way to transfer the histological evaluation of a neuropathologist onto optical coherence tomography (OCT) images. OCT is a method suitable for real timein vivoimaging during neurosurgery however the images require processing for the tumour detection. The method demonstrated here enables the creation of a dataset which will be used for supervised learning in order to provide a better visualization of tumour infiltrated areas for the neurosurgeon. The created dataset contains labelled OCT images from two different OCT-systems (wavelength of 930 nm and 1300 nm). OCT images corresponding to the stained histological images were determined by shaping the sample, a controlled cutting process and a rigid transformation process between the OCT volumes based on their topological information. The histological labels were transferred onto the corresponding OCT images through a non-rigid transformation based on shape context features retrieved from the sample outline in the histological image and the OCT image. The accuracy of the registration was determined to be 200 ± 120µm. The resulting dataset consists of 1248 labelled OCT images for each of the two OCT systems.

ERBB2 and ERBB3 Growth Factor Receptors, Neuregulin-1, CD44 and Ki-67 Proliferation Index in Neurofibromatosis Type 1-associated Peripheral Nerve Sheath Tumors.

AIM: To characterize the growth pattern and antigen profile of peripheral nerve sheaths tumors (PNST) in a large series of tumors obtained from patients with neurofibromatosis type 1 (NF1). MATERIALS AND METHODS: Tissue micro-array technique was applied to study 520 PNSTs of 385 patients with NF1 by immunohistochemistry for human epidermal growth factor receptors erb-b2 receptor tyrosine kinase 2 (ERBB2) and ERBB3, CD44, neuroregulin (NRG1) and proliferation index by Ki-67. PNSTs were classified as cutaneous neurofibroma (CNF) in 114 cases, diffuse neurofibroma (DNF) in 109, diffuse plexiform neurofibroma (DPNF) in 108, plexiform neurofibroma (PNF) in 110, and malignant PNST (MPNST) in 22. RESULTS: The Ki-67 proliferation index was significantly higher in MPNST than in benign PNST (p<0.001). ERBB2 expression was significantly lower in PNST with diffuse growth than in PNF and MPNST (p<0.001). ERBB3 expression was also higher in PNF and MPNST (both p<0.001) than in diffuse PNST. NRG1 expression was significantly higher in PNF than in non-encapsulated benign PNST or MPNST (both p<0.001). Co-expression of ERBB2, ERBB3 and ligand NRG1 was rare, mainly observed in PNST with a plexiform component (in four PNFs, nine DPNFs, one CNF, and two MPNSTs). Expression of CD44 in contrast was significantly stronger in diffusely growing PNST than in PNF (p<0.001). CONCLUSION: Growth factor receptors ERBB2 and ERBB3 were significantly up-regulated in PNF and MPNST. The antigen expression pattern of DPNF resembled that of benign PNST with diffuse growth pattern rather than that of encapsulated PNF. Differentiating PNST may be important for the assessment of neurofibroma progression, and for the expected impact of drugs currently used for tumor reduction.

Tissue Microarray Analyses Suggest Axl as a Predictive Biomarker in HPV-Negative Head and Neck Cancer.

The receptor tyrosine kinase Axl is described to promote migration, metastasis and resistance against molecular targeting, radiotherapy, and chemotherapy in various tumor entities, including head and neck squamous cell carcinoma (HNSCC). Since clinical data on Axl and its ligand Gas6 in HNSCC are sparse, we assessed the association of Axl and Gas6 expression with patient survival in a single center retrospective cohort in a tissue microarray format. Expression was evaluated manually using an established algorithm and correlated with clinicopathological parameters and patient survival. A number of 362 samples yielded interpretable staining, which did not correlate with T- and N-stage. Protein expression levels were not associated with the survival of patients with p16-positive oropharyngeal SCC. In HPV-negative tumors, Axl expression did not impact patients treated with primary or adjuvant radio(chemo)therapy, but was significantly associated with inferior overall and recurrence-free survival in patients treated with surgery alone. Gas6 was a positive predictor of survival in patients whose treatment included radiotherapy. Associations remained significant in multivariable analysis. Our data question a meaningful contribution of the Axl/Gas6 pathway to radio-resistance in HNSCC and instead suggest that strong Axl expression identifies tumors requiring adjuvant radio(chemo)therapy after surgery.

Peripheral Nerve Sheath Tumors in Patients With Neurofibromatosis Type 1: Morphological and Immunohistochemical Study.

BACKGROUND/AIM: The aim of the present investigation was to characterize the growth pattern and antigen profile of peripheral nerve sheath tumors (PNST) in a large series of tumors obtained from patients with Neurofibromatosis type 1 (NF1) focusing on morphological characteristics of diffuse plexiform neurofibroma (DPNF). MATERIALS AND METHODS: Tissue micro-array (TMA) analysis was applied to study 520 formalin-fixed, paraffin-embedded human PNST of 385 patients with confirmed NF1 diagnosis. PNST originated from all areas of the body and were classified as cutaneous neurofibroma (CNF, n=114), diffuse neurofibroma (DNF, n=109), DPNF (n=108), plexiform neurofibroma (PNF, n=110), and malignant peripheral nerve sheath tumor (MPNST, n=22). Histomorphology and antigen expression patterns of the tumors were determined [S100, epithelial membrane antigen (EMA), CD90, mast cell tryptase, and neurofilament]. RESULTS: Benign PNST showed significantly more S100-positive tumor cells than MPNST (p<0.001). EMA expression was most pronounced in perineurium of DPNF. The number of mast cells in CNF, DNF and DPNF was significantly higher compared to PNF and MPNST (p<0.001 for both comparisons, Mann-Whitney U-test). CONCLUSION: DPNF show some distinct cellular characteristics. A high number of EMA positive cells possibly indicates the dissemination of perineural cells to the surrounding tissue. Concerning mast cell density, DPNF resemble DNF and CNS rather than PNF. Close contact of tumor cells in DPNF, DNF and CNF with the immune system is a prerequisite for permanent immunological reactions in contrast to PNF in which tumor cells are partitioned from the immune system by the perineurium and blood-nerve barrier of blood vessels. It is assumed that these morphological distinctions may reflect in part the biological differences between the entities. While PNF is a known precancerous stage in NF1 patients, DPNF are not rated as such. Furthermore, the morphologic differences between benign nerve sheath tumors may be important for the efficacy of drugs to access tumor cells.