Ontology highlight
ABSTRACT:
PROVIDER: PRJEB41516 | ENA |
REPOSITORIES: ENA
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Project description:Neuroblastoma is the third most common pediatric cancer and is responsible for approximately 15% of all childhood cancer deaths (Maris & Matthay, 1999). In our analysis, we found that poor patient survival with increasing mRNA expression level of AURKA and AURKB in Mycn-amplified neuroblastoma. In the light of this evidence, we were able to find possibilities of existing inhibitors for therapy. According to the following experiments, we found that tozasertib, a pan-Aurora kinase inhibitor, has high therapeutic potential in neuroblastoma treatment. First, we performed in vitro experiments to reveal that tozasertib suppressed cell proliferation in multiple Mycn-amplified neuroblastoma cell lines. Next, we evaluated ex vivo not only in Mycn-amplified neuroblastoma xenograft mouse model but also TH-Mycn transgenic mouse model. The results showed that tozasertib significantly inhibited the tumor growth and prolonged the survival probability in both animal models. Finally, we explored the mechanism of tozasertib-treated tissues in two animal models by iTRAQ proteomic.
2019-09-30 | PXD007640 | Pride
Project description:Understanding dysregulated genes and pathways in cancer is critical for precision oncology. Integrating mass spectrometry-based proteomic data with transcriptomic data presents unique opportunities for systematic analyses of dysregulated genes and pathways in pan-cancer. Here, we compiled a comprehensive set of datasets, encompassing proteomic data from 2,404 samples and transcriptomic data from 7,752 samples across 13 cancer types. Comparisons between normal or adjacent normal tissues (ANTs) and tumor tissues identified several dysregulated pathways including mRNA splicing, interferon pathway, fatty acid metabolism, and complement coagulation cascade in pan-cancer. Additionally, pan-cancer up- and down-regulated genes (PCUGs and PCDGs) were also identified. Notably, RRM2 and ADH1B, two genes belong to PCUGs and PCDGs, respectively, were identified as robust pan-cancer diagnostic biomarkers. TNM stage-based comparisons revealed dysregulated genes and biological pathways involved in cancer progression, among which the dysregulation of complement coagulation cascade and epithelial-mesenchymal transition are frequent in multiple types of cancers. A group of pan-cancer continuously up- and down-regulated proteins in different tumor stages (PCCUPs and PCCDPs) were identified. We further constructed prognostic risk stratification models for corresponding cancer types based on dysregulated genes, which effectively predict the prognosis for patients with these cancers. Drug prediction based on PCUPs and PCDPs as well as PCCUPs and PCCDPs revealed that small molecule inhibitors targeting CDK, HDAC, MEK, JAK, PI3K, and others might be effective treatments for pan-cancer. We also developed web tools for cancer diagnosis, pathologic stage assessment, and risk evaluation. Overall, this study highlights the power of combining proteomic and transcriptomic data to identify valuable diagnostic and prognostic markers as well as drug targets and treatments for cancer.
2024-12-24 | PXD059207 |
Project description:MYCN is a master regulator controlling many processes necessary for tumor cell survival. Here, we unravel a microRNA network that causes tumor suppressive effects in MYCN-amplified neuroblastoma cells. In profiling studies, histone deacetylase (HDAC) inhibitor treatment most strongly induced miR-183. Enforced miR-183 expression triggered apoptosis, and inhibited anchorage-independent colony formation in vitro and xenograft growth in mice. Furthermore, the mechanism of miR-183 induction was found to contribute to the cell death phenotype induced by HDAC inhibitors. Experiments to identify the HDAC(s) involved in miR-183 transcriptional regulation showed that HDAC2 depletion induced miR-183. HDAC2 overexpression reduced miR-183 levels and counteracted the induction caused by HDAC2 depletion or HDAC inhibitor treatment. MYCN was found to recruit HDAC2 in the same complexes to the miR-183 promoter, and HDAC2 depletion enhanced promoter-associated histone H4 pan-acetylation, suggesting epigenetic changes preceded transcriptional activation. These data reveal miR-183 tumor suppressive properties in neuroblastoma that are jointly repressed by MYCN and HDAC2, and suggest a novel way to bypass MYCN function. BE(2)-C neuroblastoma cells were treated with the pan-HDACi HC-toxin (20 nM) or solvent control (methanol) for 24 h in three replicates, respectively.Total RNA was isolated using miRNeasy Mini Kit (Qiagen) according to the manufacturer's instructions. RNA was eluted in water. The quality of total RNA was checked by gel analysis using the total RNA Nanochip assay on an Agilent 2100 Bioanalyzer.
2013-05-01 | E-GEOD-44538 | biostudies-arrayexpress
Project description:Pan-Cancer Single Cell Landscape of Tumor-Infiltrating T Cells
| PRJNA658913 | ENA
Project description:Neuroblastoma is a childhood cancer believed to result from dysfunctional development. Its origin during embryogenesis remains poorly understood. The lack of appropriate models has hindered in-depth mapping of early tumor-driving events. Here, we identify a novel tumor suppressor gene associating with worse outcome in MOXD1-deprived high-risk patients, by applying bulk and single cell RNA sequencing data of neuroblastoma and human fetal adrenal glands. Trunk neural crest-specific MOXD1 discriminates cell populations during normal and tumor development, with implications for deciphering neuroblastoma cell origin. We created an embryonic conditional knockout model and show that cell type-specific loss of MOXD1 leads to disrupted organ homeostasis and failed adrenal gland formation, home for neuroblastoma. We show that MOXD1 is a tumor suppressor gene in zebrafish, chick, and mice in vivo models.
2023-09-06 | GSE242157 | GEO
Project description:Our current knowledge of the different immune cells in neuroblastoma is based on in vitro and in vivo studies mainly focusing on a single cell type. Importantly, different studies have conveyed conflicting results. Moreover, a comprehensive immune cell overview at the single-cell level is still missing and understanding the complete immune cell composition of neuroblastoma will be crucial for the development of novel immunotherapeutics against the disease. In this study, we performed single-cell RNA-sequencing on nineteen human neuroblastoma samples coupled with multiplex immunohistochemistry and survival analysis using additional datasets to provide a comprehensive cellular and molecular immune cell landscape of human neuroblastoma. Further, we contrasted our data with single-cell RNA-sequencing data from normal fetal adrenal gland to characterize cell-state changes from normal tissue to cancerous neuroblastoma. Our analysis revealed 27 immune cell subtypes including distinct subpopulations of myeloid, NK, B and T cells not identified in neuroblastoma before. Several immune cell subtypes demonstrated a survival benefit such as inflammatory monocytes, tumor associated macrophages, various T cell populations, and Active NK cells. Furthermore, in contrast to adult cancers and previous neuroblastoma studies, we demonstrated an increase in inflammatory monocyte cell-state when contrasting normal and tumor tissue, while we do not observe differences in cytotoxicity and exhaustion score for cytotoxic T cells, nor in Treg activity. Finally, we performed a systemic receptor-ligand interaction analysis between tumor, stroma and immune cells, where we showed the neuroblastoma tumor microenvironment is highly complex and strongly correlated to survival. In addition, we highlighted several interactions that we suggest to be tested in future studies as a therapeutic option in human neuroblastoma. Taken together, our study significantly adds to the in depth understanding of the immune cell landscape, the complexity of the tumor microenvironment and it provides a resource for the development of novel immunotherapeutics for neuroblastoma.
2022-05-05 | GSE147766 | GEO
Project description:A pan-cancer single-cell landscape of tumor-infiltrating myeloid cells
| PRJNA647394 | ENA
Project description:Intra-tumor heterogeneity of tumor-initiating cell (TIC) activity drives colorectal cancer (CRC) progression and therapy resistance. Here, we used single-cell mRNA-sequencing (scRNA-seq) of patient-derived CRC models to decipher distinct cell subpopulations based on their transcriptional profiles. Cell type-specific expression modules of stem-like, transit amplifying-like, and differentiated CRC cells resemble differentiation states of normal intestinal epithelial cells. Strikingly, identified subpopulations differ in proliferative activity and metabolic state. In summary, we here show at single-cell resolution that transcriptional heterogeneity identifies functional states during TIC differentiation. Targeting transcriptional states associated to cancer cell differentiation might unravel vulnerabilities in human CRC.
2021-05-07 | PXD018230 | Pride
Project description:m1A, a prevalent RNA modification found in various RNA species, was recently reported to modulate cancer progression; However its effects in neuroblastoma have not been investigated. In this study, we observed a significantly elevated expression of m1A transmethylase TRMT6 in high-risk and late-stage neuroblastoma patients. Silence and regain of function studies demonstrated that TRMT6 promotes neuroblastoma cell malignancy, tumor growth, and metastasis in vitro and in vivo. Omics analysis and cancer malignancy assay revealed that somatostatin (SST) is the functional downstream target of TRMT6, which determined the pro-tumor role of TRMT6 in neuroblastoma. Mechanistically, TRMT6 reduces SST mRNA levels by inhibiting its mRNA stability in an m1A-YTHDF2-dependent manner, which revealed the crosstalk of the m1A methylase TRMT6 in neuroblastoma. Moreover, SST analog octreotide suppresses neuroblastoma cell malignancy, tumor growth, and metastasis. Targeting TRMT6 provides a novel potential diagnosis and therapeutic target for neuroblastoma
2025-12-01 | GSE297545 | GEO
Project description:Solid tumors are complex organs comprising neoplastic cells and stroma, yet cancer cell lines remain widely used to study tumor biology, biomarkers and experimental therapy. Here, we performed a fully integrative analysis of global proteomic data comparing human colorectal cancer (CRC) cell lines to primary tumors and normal tissues. We found a significant, systematic difference between cell line and tumor proteomes, with a major contribution from tumor stroma proteomes. Nevertheless, cell lines overall mirrored the proteomic differences observed between tumors and normal tissues, in particular for genetic information processing and metabolic pathways, indicating that cell lines provide a system for the study of the intrinsic molecular programs in cancer cells. Intersection of cell line data with tumor data provided insights into tumor cell specific proteome alterations driven by genomic alterations. Our integration of cell line proteogenomic data with drug sensitivity data highlights the potential of proteomic data in predicting therapeutic response. We identified representative cell lines for the proteomic subtypes of primary tumors, and linked these to drug sensitivity data to identify subtype-specific drug candidates.
2016-12-01 | MSV000080374 | GNPS