Multi-omic screening of invasive GBM cells in engineered biomaterials and patient biopsies reveals targetable transsulfuration pathway alterations
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE246697 | GEO | 2023/12/01
REPOSITORIES: GEO
Similar Datasets
Project description:The invasive leading edge represents a potential gateway for tumor metastasis. The role of fibroblasts from the tumor edge in promoting cancer invasion and metastasis has not been comprehensively elucidated. We hypothesize that crosstalk between tumor and stromal cells within the tumor microenvironment (TME) results in activation of key biological pathways depending on their position in the tumor (edge vs core). Here we highlight phenotypic differences between tumor-adjacent-fibroblasts (TAF) from the invasive edge and tumor core fibroblasts (TCF) from the tumor core, established from human lung adenocarcinomas. A multi-omics approach that includes genomics, proteomics, and O-glycoproteomics was used to characterize crosstalk between TAFs and cancer cells. These analyses showed that O-glycosylation, an essential post-translational modification resulting from sugar metabolism, alters key biological pathways including the cyclin-dependent kinase 4 and phosphorylated retinoblastoma protein (CDK4-pRB) axis in the stroma and indirectly modulates pro-invasive features of cancer cells. In summary, the O-glycoproteome represents a new consideration for important biological processes involved in tumor-stroma crosstalk and a potential avenue to improve the anti-cancer efficacy of CDK4 inhibitors.
2021-10-22 | GSE186235 | GEO
Project description: Not available
| S-EPMC7744393 | biostudies-literature
Project description:Intratumor spatial heterogeneity facilitates therapeutic resistance in glioblastoma (GBM). Nonetheless, understanding of GBM is limited to the resectable tumor core lesion while the seeds for recurrence reside in the unresectable tumor edge. In this study, stratification of GBM to core and edge demonstrated clinically relevant surgical sequelae. We establish regionally derived models of GBM edge and core that retain their spatial identity in a cell autonomous manner. Edge cells show a higher capacity for infiltrative growth, while core cells demonstrate greater therapy resistance. Investigation of intercellular signaling between these two cell populations uncovered the paracrine crosstalk from tumor core that provokes malignancy and therapy resistance of edge cells. These phenotypic alterations were initiated by HDAC1 in GBM core cells which subsequently affect edge cells by secreting the soluble form of CD109 protein. Our data reveal the role of intracellular communication between regionally different populations of GBM cells in tumor recurrence.
2020-07-03 | GSE153746 | GEO
Project description:Clinical outcomes for patients with glioblastoma (GBM) are extremely poor due to inevitable tumor recurrence even after extensive treatments. These recurrences are thought to manifest from cells located within the tumor edge. Despite this, the precise molecular mechanism governing GBM spatial phenotypic heterogeneity (e.g. edge vs. core) and subsequent tumor recurrence remains poorly elucidated. Here, using patient-derived GBM core and edge tissues, we analyzed transcriptional and metabolic signatures in an effort to determine how GBM facilitates the edge phenotype and its associated recurrence-initiating cells (RICs). In so doing, we unexpectedly identified CD38 as an essential protein in the formation of the edge phenotype and found a CD38-driven interaction between edge GBM cells and neighboring astrocytes that communally develops a GBM edge that is unresectable by surgery and retains RICs.
2021-12-25 | GSE135408 | GEO
Project description: Not available
| S-EPMC9269300 | biostudies-literature
Project description: Not available
| S-EPMC7852029 | biostudies-literature
Project description: Not available
| S-EPMC6582577 | biostudies-literature
Project description: Not available
| S-EPMC7805167 | biostudies-literature
Project description: Not available
| S-EPMC6060019 | biostudies-literature
Project description:Glioblastoma multiforme (GBM), the most advanced form of a large subset of brain tumors collectively known as glioma, is the most aggressive and invasive type of brain tumor. Patients usually experience a median survival range of 9 to 12 months. GBMs are extremely difficult to manage because of the tumor cellsâ tendency to migrate and pervade into adjacent tissues. Surgical resection of GBMs generally only slows disease progression because any remaining tumor cells proceed to migrate through brain tissues and reform a new tumor mass. It is hypothesized that the invasive phenotype of these tumor cells may be attributable to unique gene expression. Stationary core and invasive rim tumor cells were collected separately by laser capture microdissection (LCM) from 19 biopsy samples. Identification of differentially expressed genes in the tumor core and invasive rim can give valuable insight to the genes and pathways potentially involved with the invasive phenotype. This information can then be used to generate possible biomarkers, diagnostic markers, or drug targets. Human glioblastoma tumor samples were obtained from patients who underwent primary therapeutic brain tumor resection. All specimens were collected and submitted to the study under institutional review board approved protocols. None of the patients had been subjected to chemotherapy or radiotherapy prior to resection, in order to avoid genetic signatures that are due to exposure to alkylating agents and/or ionizing radiation. All specimens were verified as GBMs by a neuropathologist. Tumors are embedded in OCT, then sectioned in a cryostat at -20C, to a thickness of 8-10 um and placed onto HistoGene slides. Sections to be microdissected are removed from the -80C fixed and stained with an abbreviated Hematoxylin and Eosin protocol. Two thousand tumor core and invasive cells are dissected onto separate caps using the PixCell II instrument using CapSure⢠Macro LCM Caps. The CapSure⢠Macro LCM Caps LCM 0211 should be used with the AutoPix instrument. Cells in the tumor core are identified by nuclear atypia and size and captured using the larger spot sizes. Tumor cells immediately adjacent to necrotic areas, cortical areas, cells with small regular nuclei, endothelial and blood cells should be avoided. Individual white matter invading GBM cells can be identified by means of their nuclear atypia and heteropyknotic staining, which is consistent with that of the cells within the tumor core. They should be microdissected using the 7.5 um laser spot size and the initial power settings recommended by the PixCell II manual. After microdissection all harvested material should immediately be lysed on the cap by applying the lysis buffer (XB) from the PicoPure RNA Isolation Kit according to the PicoPure protocol and stored -80C. Cell populations harvested on different caps can be pooled at the time of RNA isolation. RNA integrity is varified by identification of distinct 28S and 18S ribosomal bands with an Agilent Bioanalyzer using the RNA 6000 Nano LabChip kit. Total RNA was isolated from 2000 LCM cells (to ensure at least 500 ng total RNA) using the PicoPure RNA solation Kit, following manufacturers protocol. mRNA is reverse transcribed with the RiboAmp RNA Amplification kit. 500 ng total RNA is amplified with the RiboAmp RNA Amplification kit, following manufacturerâs instructions. The total yield that can be expected falls between 30 and 60 µg copy RNA. The size of the copy RNA should be verified by gel electrophoresis. Approximately 500ng of copy RNA can be separated on a 1% agarose gel in TAE buffer. A smear of amplified material should be seen between 200 and 3000bp. Six µg amplified RNA are labeled in a RT with SuperScriptIII in the presence of dUTP Cy5 utilizing 6 µg random hexamers as primers. Universal reference RNA is amplified one round in the same manner and labeled with Cy3 dUTP. Labeled cDNA is hybridized overnight onto cDNA microarray. Following hybridization, arrays are washed, scanned and quantitated with the Axon GenePix 4000 microarray reader (Axon Instruments). Gene expression results are analyzed using GeneSpring (Silicon Genetics) software. Intensity dependent normalization is applied, where the ratio is reduced to the residual Lowess fit of the intensity versus ratio curve. The measured intensity of each gene is divided by its reference channel (signal from the universal reference RNA) in each sample. When the reference channel is below 10, the data point is considered uninformative. The ratios (sample over reference) for the tumor core experiments and invasive rim experiments are averaged and compared. Genes that are more than two-fold differentially regulated in the majority of the matched core/invasive rim sets are selected.
2010-05-18 | E-GEOD-12689 | biostudies-arrayexpress