RNAseq of paired primary and locally recurrent IDHwt GBM
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PROVIDER: EGAS00001006871 | EGA |
REPOSITORIES: EGA
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Project description:Glioblastoma (GBM) bears a dismal prognosis with rapid relapse following complete resection and radiochemotherapy. The involvement of microRNAs in tumor progression has been demonstrated in hepatoma, breast cancer, and prostate cancers. However, the microRNAs involved in modulating the progression and relapse of GBM are still unclear. Initially, we compared the miRNA expression profiles between primary and recurrent GBM tissues from the same patient in twelve independent cases. miRNA expression profiles between primary and recurrent GBM tissues from the same patient in twelve independent cases.
2014-09-28 | E-GEOD-32466 | biostudies-arrayexpress
Project description:Glioblastoma (GBM) bears a dismal prognosis with rapid relapse following complete resection and radiochemotherapy. The involvement of microRNAs in tumor progression has been demonstrated in hepatoma, breast cancer, and prostate cancers. However, the microRNAs involved in modulating the progression and relapse of GBM are still unclear. Initially, we compared the miRNA expression profiles between primary and recurrent GBM tissues from the same patient in twelve independent cases.
2014-09-28 | GSE32466 | GEO
Project description:Background Despite maximal therapy with surgery, chemotherapy and radiotherapy, glioblastoma multiforme (GBM) patients have a median survival of only 15 months. Almost all patients inevitably experience symptomatic tumor recurrence. A hallmark of this tumor type is the large heterogeneity between patients and within tumors itself which relate to failure of standardized tumor treatment. In this study, tissue samples of paired primary and recurrent GBM tumors were investigated to identify individual factors related to tumor progression. Methods Paired primary and recurrent GBM tumor tissues from 8 patients were investigated with a multi-omics approach using transcriptomics, proteomics and phosphoproteomics. Results In the studied patient cohort, large variations between and within patients are observed for all omics analyses. A few pathways affected at the different omics levels partly overlapped if patients are analyzed at the individual level, such as synaptogenesis (containing the SNARE complex) and cholesterol metabolism. Phosphoproteomics revealed increased STMN1(S38) phosphorylation that relates to ERBB4 signaling. A pathway tool has been developed to visualize and compare the different omics datasets per patient and showed potential therapeutic drugs, such as abobotulinumtoxina and afatinib, that target these affected pathways. Afatinib targeting ERBB4 signaling is currently in clinical trials for GBM. Conclusions Large variation on all omics levels exist between and within GBM patients. Therefore, it will be rather unlikely to find a drug treatment that would fit all patients. Instead a multi-omics approach can be used to identify affected pathways on the individual patient level and select potential treatment options.
2020-11-17 | PXD017952 | Pride
Project description:Formalin fixed paraffin embedded (FFPE) primary-recurrent Glioblastoma (pGBM-rGBM) matched patient samples and normal tissue adjacent to tumor (NAT) were analyzed by shotgun DDA proteomics. The proteomic profiles of pGBM-rGBM pairs revealed differentially expressed proteins in rGBM samples, which in future could be used for potential therapeutic interventions.
2021-08-06 | MSV000087947 | MassIVE
Project description:Treating recurrent GBM is a clinical challenge due to its highly resistant and aggressive nature. In order to develop new therapeutic targets for recurrent GBM a better understanding of its molecular landscape is necessary. Here we used a cellular model, developed in our lab which generates paired primary and recurrent samples from GBM cell lines and primary patient samples hence allowing us to compare the molecular differences between the two populations. Total RNA seq analysis of parent and recurrent population of two cell lines and one patient sample revealed a significant upregulation of Extracellular matrix interaction in recurrent population. Since matrix stiffness plays a pivotal role in cell-ECM interaction and downstream signaling, we developed a system that mimicked the brain like substrate stiffness by using collagen coated polyacrylamide-based substrate whose stiffness can be modified from normal brain (0.5kPa) to tumorigenic (10kPa). Using these substrates, we were able to capture the morphological and physiological differences between parent and recurrent GBM which were not evident on plastic surfaces (~1 GPa). On 0.5kPa, unlike circular parent cells, recurrent GBM cells showed two morphologies (circular and elongated). The recurrent cells growing on 0.5kPa also showed higher proliferation, invasion, migration and in-vivo tumorigenicity in orthotropic GBM mouse model, compared to parent cells. Furthermore, recurrent cells exhibited elevated velocity irrespective of substrate stiffness, which indicated that recurrent cells may possess inherent differential mechanosignalling ability which was reflected by higher expression of ECM proteins like Collagen IVA, MMP2 and MMP9. Moreover, mice brain injected with recurrent cells grown on 0.5kPa substrate showed higher Young’s modulus values suggesting that recurrent cells conditioned on 0.5kPa make the surrounding ECM stiffer. Importantly, inhibition of EGFR signaling, that is amplified with tissue stiffening in GBM resulted in decreased invasion, migration and proliferation in 0.5kPa recurrent cells, but interestingly survival remained unaffected, highlighting the importance of mimicking the physiological stiffness of the brain mimicking clinical scenario. Total RNA seq analysis of parent and recurrent cells grown on plastic and 0.5kPa substrate identified PLEKHA7 as significantly upregulated gene specifically in 0.5kPa recurrent sample. Higher protein expression of PLEKHA7 in recurrent GBM as compared to primary GBM was validated in patient biopsies. Accordingly, PLEKHA7 knockdown reduced invasion and survival of recurrent GBM cells. Together, these data provides a model system that captures the differential mechanosensing signals of primary and recurrent GBM cells and identifies a novel potential target specific for recurrent GBM.
2023-06-29 | E-MTAB-11293 | biostudies-arrayexpress
Project description:We used bulk RNA sequencing to analyze unsupervised clustering of early and late passages of four GBM PDXs. Single cell RNAseq data was used to study transcriptional profiles of DMSO and TMZ, Primary and Recurrent as well as early and late passages of GBM PDXs.
2024-11-22 | GSE278154 | GEO
Project description:Glioblastoma multiforme (GBM) is the most lethal brain malignant neoplasm, associated with poor prognosis and high recurrence. The mechanisms involved in GBM development and recurrent remains largely unknown. Hence, it’s considerably imperative to explore the potential targets and unravel the mechanism implicated in GBM tumorigenesis and recurrence. In our study, mass spectrometry-based label-free quantitative proteomics was employed to explore the proteomic profiling in non-paired samples of primary and recurrent GBM. Bioinformatic analysis of differentially expression proteins (DEPs) were applied to screen the hub genes. Subsequently, hub genes expression was verified by western blot and immunohistochemistry (IHC) in GBM tissues, followed by its biological effect on GBM at a cellular level determined. We contoured the divergent landscape of proteome between primary and recurrent GBM, with only ten overlapped DEPs included. The several hub genes screened (e.g., CKAP4 and CANX) and enriched pathways correlated with primary GBM such as post-translation, metabolism, energy pathways and cell growth were profiled. Furthermore, CKAP4 was implicated in proliferation, migration and invasion of A172 and T98G cell lines. However, UQCRC1, together with relative enriched pathways such as oxidative phosphorylation, were screened in recurrent GBM. Establishment of the proteomics and several candidate proteins identified could pose considerable access to understand complex biochemical processes and obtain a better picture of GBM biology.
2021-06-06 | PXD026503 |
Project description:The 12 recurrent GBM patients were participated. NanoString nCounter pancancer IO 360 panel (750 genes) assay was conducted with GBM patients tissue which was extracted at postoperative after recurrent event. The goal of this study was to extract significant genes which were associated with overall survival (OS) and durable response within AKC-treated recurrent GBM patients.
2020-12-31 | GSE142693 | GEO
Project description:aCGH was used to profile copy-number aberrations (CNA) in 64 glioblastoma specimen of patients treated within clinical trials. The data was used to identify changes in CNA which contribute to the aberrant of expression of HOX transcription factors. Our group had previously demonstrated that expression of HOX genes was associated with increased resistance to chemo-radiotherapy and worse outcome in GBM patients Keywords: Disease state comparison Genomic DNA from the 64 samples and synthetic normal reference DNA were labelled with Cy3 and Cy5 respectively and hybridised to HumArray3 and HumArray2 chips. The unified platform HumArray3.1 is used for annotation purposes
2015-01-06 | E-GEOD-60507 | biostudies-arrayexpress
Project description:aCGH was used to profile copy-number aberrations (CNA) in 64 glioblastoma specimen of patients treated within clinical trials. The data was used to identify changes in CNA which contribute to the aberrant of expression of HOX transcription factors. Our group had previously demonstrated that expression of HOX genes was associated with increased resistance to chemo-radiotherapy and worse outcome in GBM patients Keywords: Disease state comparison
2015-01-06 | GSE60507 | GEO