Project description:Meningiomas are the most common primary intracranial tumors and are associated with inactivation of the tumor suppressor NF2/Merlin, but one-third of meningiomas retain Merlin expression and typically have favorable clinical outcomes. Biochemical mechanisms underlying Merlin-intact meningioma growth are incompletely understood, and non-invasive biomarkers that predict meningioma outcomes and could be used to guide treatment de-escalation or imaging surveillance of Merlin-intact meningiomas are lacking. Here we integrate single-cell RNA sequencing, proximity-labeling proteomic mass spectrometry, mechanistic and functional approaches, and magnetic resonance imaging (MRI) across meningioma cells, xenografts, and human patients to define biochemical mechanisms and an imaging biomarker that distinguish Merlin-intact meningiomas with favorable clinical outcomes from meningiomas with unfavorable clinical outcomes. We find Merlin drives meningioma Wnt signaling and tumor growth through a feed-forward mechanism that requires Merlin dephosphorylation on serine 13 (S13) to attenuate inhibitory interactions with β-catenin and activate the Wnt pathway. Meningioma MRI analyses of xenografts and human patients show Merlin-intact meningiomas with S13 phosphorylation and favorable clinical outcomes are associated with high apparent diffusion coefficient (ADC) on diffusionweighted imaging. In sum, our results shed light on Merlin posttranslational modifications that regulate meningioma Wnt signaling and tumor growth in tumors without NF2/Merlin inactivation. To translate these findings to clinical practice, we establish a non-invasive imaging biomarker that could be used to guide treatment de-escalation or imaging surveillance for patients with favorable meningiomas.
Project description:Separation by h.p.l.c. and pulsed amperometric detection were employed to measure glucuronic acid (GlcUA) and other acidic monosaccharides in fibroblasts from patients with infantile free sialic acid storage disease (ISSD) and Salla disease. These lysosomal storage disorders result from defective carrier-mediated transport of free N-acetylneuraminic acid (NeuAc) out of cellular lysosomes. Three Salla disease fibroblast strains stored approx. 0.4 nmol of free GlcUA/mg of cell protein, whereas four ISSD strains stored approx. 5 nmol GlcUA/mg (normal is undetectable). The GlcUA content of the mutant cell strains, which by differential centrifugation and Percoll gradient fractionation was localized to the lysosomes, averaged 5% of the free NeuAc content of the cells. N-Glycolylneuraminic acid (NeuGc) also accumulated in ISSD cells, but only when they were grown in the presence of fetal calf serum, which contains abundant NeuGc. No other acidic monosaccharides were detected in any of the mutant cell strains. GlcUA egress studies revealed that 56% of the initial GlcUA content was lost from normal granular fractions after 2 min at 37 degrees C. For similarly loaded ISSD granular fractions, virtually no GlcUA was lost even after 6 min. The results indicate that GlcUA is recognized and transported by the lysosomal NeuAc carrier, and that GlcUA transport is impaired in the lysosomal disorders of free NeuAc storage.
Project description:OBJECTIVE:Succinate dehydrogenase-deficient leukoencephalopathy is a complex II-related mitochondrial disorder for which the clinical phenotype, neuroimaging pattern, and genetic findings have not been comprehensively reviewed. METHODS:Nineteen individuals with succinate dehydrogenase deficiency-related leukoencephalopathy were reviewed for neuroradiological, clinical, and genetic findings as part of institutional review board-approved studies at Children's National Health System (Washington, DC) and VU University Medical Center (Amsterdam, the Netherlands). RESULTS:All individuals had signal abnormalities in the central corticospinal tracts and spinal cord where imaging was available. Other typical findings were involvement of the cerebral hemispheric white matter with sparing of the U fibers, the corpus callosum with sparing of the outer blades, the basis pontis, middle cerebellar peduncles, and cerebellar white matter, and elevated succinate on magnetic resonance spectroscopy (MRS). The thalamus was involved in most studies, with a predilection for the anterior nucleus, pulvinar, and geniculate bodies. Clinically, infantile onset neurological regression with partial recovery and subsequent stabilization was typical. All individuals had mutations in SDHA, SDHB, or SDHAF1, or proven biochemical defect. INTERPRETATION:Succinate dehydrogenase deficiency is a rare leukoencephalopathy, for which improved recognition by magnetic resonance imaging (MRI) in combination with advanced sequencing technologies allows noninvasive diagnostic confirmation. The MRI pattern is characterized by cerebral hemispheric white matter abnormalities with sparing of the U fibers, corpus callosum involvement with sparing of the outer blades, and involvement of corticospinal tracts, thalami, and spinal cord. In individuals with infantile regression and this pattern of MRI abnormalities, the differential diagnosis should include succinate dehydrogenase deficiency, in particular if MRS shows elevated succinate.
Project description:Similarities in biochemical findings have suggested that Salla disease (SD) and the infantile form of sialic acid storage disease (ISSD) could represent allelic disorders, despite their drastically different clinical phenotypes. SD and ISSD are both characterized by lysosomal storage of free N-acetyl neuraminic acid. However, in SD the increase detected in urine is 8-24-fold, whereas in ISSD the corresponding amount is 20-50-fold and patients are also more severely affected. Here we report linkage studies in 50 Finnish SD families and 26 non-Finnish families with no genealogical connections to Finns affected either with the Finnish type of SD, the "intermediate" form of the disease, or ISSD. All forms of the disease show linkage to the same locus on 6q14-q15. Haplotype analyses of Finnish SD chromosomes revealed one common haplotype, which was also seen in most of the non-Finnish patients with Finnish type of SD. This ancestral haplotype deviated from those observed in ISSD patients, who had a different common haplotype.
Project description:Infantile sialic acid storage disease (ISSD) is a lysosomal storage disease characterized by accumulation of covalently unlinked (free) sialic acid in multiple tissues. ISSD and Salla disease (a predominantly neurological disorder) are allelic disorders caused by recessive mutations of a lysosomal anionic monosaccharide transporter, SLC17A5. While Salla disease is common in Finland due to a founder-effect mutation (p.Arg39Cys), ISSD is comparatively rare in all populations studied.Here, we describe the clinical and molecular features of two unrelated Canadian Inuit neonates with a virtually identical presentation of ISSD. Both individuals presented antenatally with fetal hydrops, dying shortly following delivery. Urinary free sialic acid excretion was markedly increased in the one case in which urine could be obtained for testing; postmortem examination showed a picture of widespread lysosomal storage in both. Both children were homozygous for a novel splice site mutation (NM_012434:c.526-2A>G) resulting in skipping of exon 4 and an ensuing frameshift. Analysis of a further 129 pan-Arctic Inuit controls demonstrated a heterozygous carrier rate of 1/129 (~0.4 %) in our sample. Interestingly, lysosomal enzyme studies showed an unexplained ninefold increase in neuraminidase activity, with lesser elevations in the activities of several other lysosomal enzymes. Our results raise the possibility of a common founder mutation presenting as hydrops in this population. Furthermore, if confirmed in subsequent cases, the marked induction of neuraminidase activity seen here may prove useful in the clinical diagnosis of ISSD.
Project description:Background: Multiparametric magnetic resonance imaging (mpMRI) has emerged as a non-invasive modality to diagnose and monitor prostate cancer. Quantitative metrics on the regions of abnormality have shown to be useful descriptors to discriminate clinically significant cancers. In this study, we evaluate the reproducibility of quantitative imaging features using repeated mpMRI on the same patients. Methods: We retrospectively obtained the deidentified records of patients, who underwent two mpMRI scans within 2 weeks of the first baseline scan. The patient records were obtained as deidentified data (including imaging), obtained through the TCIA (The Cancer Imaging Archive) repository and analyzed in our institution with an institutional review board-approved Health Insurance Portability and Accountability Act-compliant retrospective study protocol. Indicated biopsied regions were used as a marker for our study radiologists to delineate the regions of interest. We extracted 307 quantitative features in each mpMRI modality [T2-weighted MR sequence image (T2w) and apparent diffusion coefficient (ADC) with b values of 0 and 1,400 mm/s2] across the two sequential scans. Concordance correlation coefficients (CCCs) were computed on the features extracted from sequential scans. Redundant features were removed by computing the coefficient of determination (R 2) among them and replaced with a feature that had the highest dynamic range within intercorrelated groups. Results: We have assessed the reproducibility of quantitative imaging features among sequential scans and found that habitat region characterization improves repeatability in ADC maps. There were 19 T2w features and two ADC features in radiologist drawn regions (native raw image), compared to 18 T2w and 15 ADC features in habitat regions (sphere), which were reproducible (CCC ?0.65) and non-redundant (R 2 ? 0.99). We also found that z-transformation of the images prior to feature extraction reduced the number of reproducible features with no detrimental effect. Conclusion: We have shown that there are quantitative imaging features that are reproducible across sequential prostate mpMRI acquisition at a preset level of filters. We also found that a habitat approach improves feature repeatability in ADC. A validated set of reproducible image features in mpMRI will allow us to develop clinically useful disease risk stratification, enabling the possibility of using imaging as a surrogate to invasive biopsies.
Project description:BackgroundTo analyze the characteristics of images from intraoperative ultrasound (IoUS) and preoperative magnetic resonance imaging (MRI) and their relationship with pathological components of dysembryoplastic neuroepithelial tumor (DNT) and to discuss the role of IoUS in detecting tumor residues.MethodsThe clinical and image data of 24 patients with postoperative pathology-confirmed DNT were analyzed retrospectively. Baseline characteristics, imaging features, and intraoperative residues were recorded for further analysis. Cohen's kappa consistency evaluation was performed on the echo and signal characteristics of the lesions.ResultsCohen's kappa coefficient between the echo and signal of the lesion was 0.832. The characteristics of IoUS were gyrus or mass hyperechoic solid nodules located under the cortex, insufficient blood flow signals, and clear boundaries, in addition to mixed cystic and solid echo nodules. The solid part of the lesion consisted of pathologically nodular specific glioneuronal element (SGE) or was combined with glial nodules and focal cortical dysplasia (FCD), which was characterized by a high echo or long T1 long T2 signal and uniform or uneven distribution. The cystic part consisted of a mucinous matrix, showing echoless or long T1 long T2 on fluid attenuated inversion recovery (FLAIR), which was higher than that in cerebrospinal fluid but lower than that in the cerebral cortex. The residual lesion discovered using IoUS was confirmed with postoperative MRI.ConclusionsThe IoUS characteristics of DNT are strongly consistent with MRI, and its imaging features are related to pathological components. IoUS can assist the operator to judge the mode and scope of tumor resection, detect residual tumor, and improve the rate of total tumor resection.
Project description:Background and purposeMR-guided radiotherapy adds the precision of magnetic resonance imaging (MRI) to the therapeutic benefits of a linear accelerator. Prior to each therapeutic session, an MRI generates a significant volume of imaging data ripe for analysis. Radiomics stands at the forefront of medical imaging and oncology research, dedicated to mining quantitative imaging attributes to forge predictive models. However, the robustness of these models is often challenged.Materials and methodsTo assess the robustness of feature extraction, we conducted reproducibility studies using a 0.35 T MR-linac system, employing both a specialized phantom and patient-derived images, focusing on cases of pancreatic cancer. We extracted shape-based, first-order and textural features from patient-derived images and only first-order and textural features from phantom-derived images. The impact of the delay between simulation and first fraction images was also assessed with an equivalence test.ResultsFrom 107 features evaluated, 58 (54 %) were considered as non-reproducible: 18 were uniformly inconsistent across both phantom and patient images, 9 were specific to phantom-based analysis, and 31 to patient-derived data.ConclusionOur findings show that a significant proportion of radiomic features extracted from this dual dataset were unreliable. It is essential to discard these non-reproducible elements to refine and enhance radiomic model development, particularly for MR-guided radiotherapy in pancreatic cancer.
Project description:AIM:To examine whether addition of 3T multiparametric magnetic resonance imaging (mpMRI) to an active surveillance protocol could detect aggressive or progressive prostate cancer. METHODS:Twenty-three patients with low risk disease were enrolled on this active surveillance study, all of which had Gleason score 6 or less disease. All patients had clinical assessments, including digital rectal examination and prostate specific antigen (PSA) testing, every 6 mo with annual 3T mpMRI scans with gadolinium contrast and minimum sextant prostate biopsies. The MRI images were anonymized of patient identifiers and clinical information and each scan underwent radiological review without the other results known. Descriptive statistics for demographics and follow-up as well as the sensitivity and specificity of mpMRI to identify prostate cancer and progressive disease were calculated. RESULTS:During follow-up (median 24.8 mo) 11 of 23 patients with low-risk prostate cancer had disease progression and were taken off study to receive definitive treatment. Disease progression was identified through upstaging of Gleason score on subsequent biopsies for all 11 patients with only 2 patients also having a PSA doubling time of less than 2 years. All 23 patients had biopsy confirmed prostate cancer but only 10 had a positive index of suspicion on mpMRI scans at baseline (43.5% sensitivity). Aggressive disease prediction from baseline mpMRI scans had satisfactory specificity (81.8%) but low sensitivity (58.3%). Twenty-two patients had serial mpMRI scans and evidence of disease progression was seen for 3 patients all of whom had upstaging of Gleason score on biopsy (30% specificity and 100% sensitivity). CONCLUSION:Addition of mpMRI imaging in active surveillance decision making may help in identifying aggressive disease amongst men with indolent prostate cancer earlier than traditional methods.