Project description:Proteomics analysis of matched tumor and normal adjacent tumor regions of 40 patients with multiparametric magnetic resonance imaging (mpMRI) visible or invisible tumors. All patients have clinically significant intermediate-risk (pathological ISUP Grade Group 2), localized prostate cancer.
Project description:Multiparametric magnetic resonance imaging (mpMRI) and molecular prognostic tests are emerging to guide screening and prostate cancer (PCa) diagnosis, however their efficacy and cross validation requires further assessment in the context of intraprostatic heterogeneity and patient prognosis. To evaluate the molecular features that make prostate tumors visible to mpMRI, we established an mpMRI-blind multicore collection and performed low pass whole genome, exome, transcriptome and methylation profiling of 14 lesions and 23 representative cores from 6 PCa patients. Our results show that diagnosis based on mpMRI does not capture the genomic complexity of tumors, and reveal that commercial prognostic signature results based on single-biopsy assessments are insufficient to define risk of progression. Altogether, our study supports the use of a multi-biopsy assessment in both mpMRI visible and non-visible areas in order to provide a truly personalised diagnosis
Project description:Bone marrow lesions (BML) are well described in osteoarthritis (OA) using magnetic resonance imaging (MRI) and associate with pain however, little is known about their role in disease process and pattern of gene expression within the lesions. This study evaluated the gene expression profile of OA BML (n=14) in comparison to normal bone (n=10) by microarray profiling. MR imaging and the MOAKS scoring was used to locate lesions and the scaled axial images were used to sample BMLs. The bone tissue controls were harvested from participants undergoing surgery following trauma.
Project description:Not all prostate cancers are visible on multiparametric MRI. The biologic basis and clinical implication of MRI visibility are unknown. We sought to identify genes associated with prognosis and MRI visibility.
Project description:Multiparametric magnetic resonance imaging (mpMRI) has transformed the landscape of prostate cancer (PCa) management. Prostate Imaging Reporting and Data System (PI-RADSv2) scores reflect function and correlate phenotypic features with tumor aggressiveness, is an independent predictor of biochemical recurrence, and may distinguish low-risk tumors requiring no treatment from high-risk tumors requiring aggressive management. We hypothesize that differences in functional mpMRI of prostate tumors reflect the genetic and epigenetic heterogeneity of PCa. We profiled the genomes and transcriptomes of 40 Gleason score 3+4 tumors, of which 20 tumors were mpMRI invisible (not PI-RADSv2 3-5) and 20 tumors were visible (PI-RADSv2 5). Genomes of visible tumors were more unstable than those of invisible tumors. We identified 62 enriched transcripts, including numerous snoRNAs, Relaxin 1 and SCHLAP1, in visible tumors. These data suggest a confluence of aggressive pathological and microenvironmental phenomenon in PI-RADSv2 5 tumors reminiscent of nimbosus, while linking the molecular profiles of tumor aggressiveness with their functional features on mpMRI.
| EGAS00001003179 | EGA
Project description:MerlinS13 phosphorylation controls meningioma Wnt signaling and magnetic resonance imaging features
Project description:Genome-wide copy number changes were monitored using array comparative genomic hybridization (aCGH) of laser-capture microdissected prostate cancer samples spanning stages of prostate cancer progression including precursor lesions, clinically localized disease and metastatic disease. A total of 62 specific cell populations from 38 patients were profiled. Keywords: Disease state analysis using array-based comparatavie genomic hybridization
Project description:The increased number of pancreatic cyst lesions (PCLs) have been detected through the development of abdominal imaging techniques, such as computed tomography (CT), magnetic resonance imaging (MRI), and endoscopic ultrasound (EUS). However, accurate classification of cystic lesions is difficult because of the lack of standardized diagnostic methods, and thus potentially unnecessary surgical resection has been performed on pancreatic cyst patients. Among four most common types of cystic lesions of pancreas, intraductal papillary mucinous neoplasms (IPMNs), mucinous cystic neoplasms (MCN), serous cystic neoplasms (SCN), and solid pseudopapillary neoplasms (SPNs), IPMNs, the precursor lesion of pancreatic cancer, have been detected most frequently, and are subdivided into low-grade dysplasia (LGD), high-grade dysplasia (HGD), and invasive IPMN in accordance with their malignancy. To discover the potential biomarkers of the histological grades of IPMN, we investigated pancreatic cyst fluid proteins that are differentially expressed in accordance with the IPMN malignancy by LC-MS/MS analysis.
Project description:European-American individuals of the GENOA cohort participating in the “Genetics of Microangiopathic Brain Injury” substudy, which investigates the genetic basis of alteration in brain structure detectable by magnetic resonance imaging. This analysis investigated the association of gene expression with age (at the time of cell transformation).
2013-09-15 | GSE49531 | GEO
Project description:Multiplatform genomic profiling and magnetic resonance imaging identify mechanisms underlying intratumor heterogeneity in meningioma
