Similar Datasets
Project description:The aggressive clinical behavior of mantle cell lymphoma (MCL) is attributed to specific genetic and molecular mechanisms involved in its pathogenesis, mainly the t(11;14)(q13;q32) traslocation and cyclin D1 (CCND1) overexpression. Nevertheless, evidence of a certain degree of heterogeneity has been disclosed by gene expression profile (GEP) and (immuno)genetic/immunohistochemistry studies. AIM: To use a GEP approach in MCL cell line models.
2017-12-31 | GSE89615 | GEO
Project description:Expression data from Drosophila tumor models
| PRJNA377663 | ENA
Project description:The Gene Expression Study (GEP) was based on a 6 MCL cell line models.
| PRJNA352717 | ENA
Project description:Purpose: Advanced high-grade gastroenteropancreatic neuroendocrine neoplasm (GEP-NEN) are highly aggressive and heterogeneous epithelial malignancies with poor clinical outcomes. No therapeutic predictive biomarkers exist and representative preclinical models to study their biology are missing. Patient-derived (PD) tumoroids may enable fast ex vivo pharmacotyping and provide subsidiary biological information for more personalized therapy strategies in individual patients. Experimental Design: PD tumoroids were established from rare biobanked surgical resections of advanced high-grade GEP-NEN patients. Using targeted in vitro pharmacotyping and next-generation sequencing of patient samples and matching PD tumoroids, we profiled individual patients and compared treatment-induced molecular stress response and in vitro drug sensitivity to the clinical therapy response. Results: We demonstrate high success rates in culturing PD tumoroids of high-grade GEP-NENs within clinically meaningful timespans. PD tumoroids recapitulate biological key features of high-grade GEP-NEN and mimic clinical response to cisplatin and temozolomide in vitro. Moreover, investigating treatment-induced molecular stress responses in PD tumoroids in silico, we discovered and functionally validated Lysine demethylase 5A (KDM5A) and interferon-beta (IFNB1) as two vulnerabilities that act synergistically in combination with cisplatin and may present novel therapeutic options in high-grade GEP-NENs. Conclusion: Patient-derived tumoroids from high-grade GEP-NENs represent a relevant model to screen drug sensitivities of individual patients within clinically relevant timespans and provide novel functional insights into drug-induced stress responses. Clinical patient response to standard-of-care chemotherapeutics matches with drug sensitivities of PD tumoroids. Together, our findings provide a functional precision oncology approach for gathering patient-centered subsidiary treatment information that will potentially increase therapeutic opportunities in the framework of personalized medicine.
2024-03-01 | GSE213504 | GEO
Project description:Using FlyAtlas to identify better Drosophila models of human disease
| PRJNA99895 | ENA
Project description:In vivo changes of gene expression profiles (GEP) of tumor cells 48hr after single agent therapy may vary by treatment and provide added predictive power over baseline GEP information. In newly diagnosed patients with multiple myeloma (MM), GEP data were obtained on tumor cells prior to and 48hr after dexamethasone (n=45) or thalidomide treatment (n=42); in case of relapsed MM, GEP data were obtained prior to (n=36) and after (n=19) lenalidomide administration. Dexamethasone and thalidomide induced both common and unique GEP changes. Combined baseline and 48hr changes of GEP in a subset of genes that were discovered in newly diagnosed MM also predicted event-free and overall survival in relapsed patients receiving lenalidomide. Combined with baseline molecular features, changes in GEP following short-term single agent treatment may help guide treatment decisions for patients with MM. The genes whose altered expression is related to eventual survival may also point to mechanisms of action and resistance to different classes of drugs. Keywords: drug response
2008-08-04 | GSE8546 | GEO
Project description:Gene expression profiling (GEP) divides DLBCL according to the cell of origin into GCB, ABC and unclassifiable, exhibiting different mutational profiles. The Hans algorithm, a surrogate of GEP, classifies cases expressing CD10, BCL6 and MUM1 as GCB but it is not clear whether all these cases correspond to GCB-type. Accordingly, LBCL with IRF4 rearrangement usually expresses GCB phenotype (CD10+, BCL6+) together with strong MUM1/IRF4.
2023-06-05 | GSE178417 | GEO
Project description:Targeting the PD-1/PD-L1 pathway has changed the landscape of cancer immunotherapy, revolutionizing the treatment of many cancers. Somatic tumor mutational burden (TMB) and T-cell–inflamed gene expression profile (GEP) are clinically validated pan-tumor genomic biomarkers that predict responsiveness to anti-PD-1/anti-PD-L1 monotherapy in a variety of tumor types. Here we analyze the association between these biomarkers and efficacy in 11 commonly used preclinical murine syngeneic models using a rodent surrogate antibody (muDX400) of pembrolizumab, a humanized monoclonal antibody against PD-1. Response to muDX400 treatment was broadly classified in these models into 3 categories: highly responsive, partially responsive, and intrinsically resistant to therapy. Molecular and cellular profiling validated differences in immune-cell infiltration and activation in the tumor microenvironment of muDX400 responsive tumors. Baseline and post-treatment genomic analysis showed an association between murine-GEP and TMB and response to muDX400 treatment. To better understand the limitations, predictive nature and role of these models in guiding treatment options at the bedside, we extended our analysis to investigate a canonical set of cancer and immune biology-related gene expression signatures, including signatures of angiogenesis, monocytic myeloid derived suppressor cell (mMDSC) and stromal/EMT/TGF-β biology previously shown to have potential negative impact on immunotherapy efficacy in the clinic. Finally, reverse translation studies were performed to evaluate the association between murine-GEP and preclinical efficacy with standard of care and anti-angiogenic combinations with muDX400 which show promising clinical activity. These efforts begin to elucidate which biological mechanisms can and cannot be appropriately and productively tested in these preclinical models to facilitate the development of rational orthogonal combination strategies with checkpoint blockade as well as the evaluation of underlying biological mechanisms associated with response in the clinic
2022-01-07 | GSE168846 | GEO
Project description:Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare and heterogeneous tumors presenting a wide spectrum of different clinical and biological characteristics. In these tumors, the histological evaluation is a crucial element of clinical management. Currently, tumor grading, determined by Ki-67 staining and mitotic counts, is the most reliable predictor of prognosis. This scoring method is time-consuming and a high reproducibility cannot be achieved. Novel approaches are needed to support histological evaluation and prognosis. In this study, starting from a microarray analysis, we defined the miRNAs signature for poorly differentiated NETs (G3) compared to well differentiated NETs (G1 and G2) consisting of 56 deregulated miRNAs. Moreover, we identified 8 miRNAs that were expressed in all GEP-NETs grades but at different level. Among these miRNAs, we found miR-96-5p that raised its expression levels from grade 1 to grade 3; inversely, its target FOXO1 was decrease from grade 1 to grade 3. Our results reveal that the miRNAs expression profile of GEP-NET correlates their expression with grading showing a potential advantage of miRNA quantification to aid clinicians in the classification of common GEP-NETs subtypes.
2020-08-04 | GSE135034 | GEO