Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA752223 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Patient-derived xenografts retain the genotype of the parent tumors more readily than tumor cells maintained in culture. The two reported clival chordoma xenografts are derived from recurrent tumors after radiation. In order to study the genetics of clival chordoma in the absence of prior radiation we sought to establish a patient-derived xenograft at primary resection of a clival chordoma.
2017-08-31 | GSE103342 | GEO
Project description:This project describes the establishment and validation of a murine orthotopic xenograft model using fresh human tumor samples that recapitulates the critical components of human pancreatic adenocarcinoma. The authors discuss the proven and theoretical advantages of the model as well as future translational implications. Background: Relevant preclinical models that recapitulate the key features of human pancreatic ductal adenocarcinoma (PDAC) are needed in order to provide biologically tractable models to probe disease progression and therapeutic responses and ultimately improve patient outcomes for this disease. Here, we describe the establishment and clinical, pathological, molecular and genetic validation of a murine, orthotopic xenograft model of PDAC. Methods: Human PDACs were resected and orthotopically implanted and propagated in immunocompromised mice. Patient survival was correlated with xenograft growth and metastatic rate in mice. Human and mouse tumor pathology were compared. Tumors were analyzed for genetic mutations, gene expression, receptor tyrosine kinase (RTK) activation, and cytokine expression. Results: Fifteen human PDACs were propagated orthotopically in mice. Xenografts developed peritoneal and liver metastases. Time to growth and metastatic efficiency in mice each correlated with patient survival. Tumor architecture, nuclear grade and stromal content were similar in patient and xenografted tumors. Propagated tumors closely exhibited the genetic and molecular features known to characterize pancreatic cancer (e.g. high rate of KRAS, p53, SMAD4 mutation and EGFR activation). The correlation coefficient of gene expression between patient tumors and xenografts propagated through multiple generations was 93 to 99%. Analysis of gene expression demonstrated distinct differences between xenografts from fresh patient tumors versus commercially available PDAC cell lines. Conclusions: Our orthotopic xenograft model derived from fresh human PDACs closely recapitulates the clinical, pathologic, genetic and molecular aspects of human disease. This model has resulted in the identification of rational therapeutic strategies to be tested in clinical trials and will permit additional therapeutic approaches and identification of biomarkers of response to therapy. 47 Samples in total were generated for normal pancreatic tissue in patients, pancreatic tumors in patients, pancreatic tumors propagated in a mouse xenograft model, and pancreatic cancer cell lines in vitro. Clustering analysis was performed to evaluate the differences between patient tumors, xenograft tumors, established cancer cell lines, and cell lines derived from xenografts.
2013-10-01 | E-GEOD-46385 | biostudies-arrayexpress
Project description:Single cells were isolated from the main scenarios during tumor dissemination of a highly metastatic Patient-Derived Xenograft model (Panc-265) in order to discover potential therapeutic targets against the metastatic settings of PDAC. Primary tumor (n=37), liver metastasis (n=23) cells and circulating tumor cells (CTCs, n=10, in bloodstream) were subjected of single-cell RNAseq. Single-cell RNA sequencing analysis revealed that CTCs clustered separately from their matched primary and metastatic tumors and were characterized by low expression of ECM associated genes, high expression of cell cycle genes, a metabolic switch to oxidative phosphorylation and high expression of genes involved in ribosome biogenesis.
2020-07-24 | GSE114704 | GEO
Project description:We profiled the tumor heterogeneity of individual primary tumor and matched metastatic cells of breast cancer using a set of patient derived xenograft models with different metastatic potentials. This data set gives insights into the transcriptional tumor heterogeneity, the transcriptional differences between primary tumor and matched metastatic cells and how these are changing in regard to varying metastatic phenotypes.
2022-08-15 | GSE211146 | GEO
Project description:Single-nuncleus RNA sequencing for circulating tumor cell-derived xenograft models of non-metastatic non-small cell lung cancer
| PRJNA755249 | ENA
Project description:We generated novel patient derived xenograft (PDX) and cell line -derived xenograft models for pancreatic ductal adenocarcinoma (PDAC) which reflect different molecular subtypes. Pancreatic ductal adenocarcinoma is currently the tumor with the fourth highest mortality rate. Recently, subtypes of PDAC have been reported by Collisson et al (Nat. Med. 17(4) 2011. DOI: 10.1038/nm.2344). However current fetal calf serum (FCS) cultured cell lines do not accurately model these subtypes. We thus generated novel serum-free cell lines derived from primary patient xenografts. We here analyse the gene-expression profiles of the xenografts and the derived cell lines. We show that indeed three different subtypes can be separated in our models based on gene-expression data. Further, we identify upregulation of a drug-detoxification pathway specifically in xenografts and cell lines of one of the subtypes. These models and data will help to better understand inter-patient heterogeneity in PDAC and identify novel drug targets and diagnostic markers.
2016-01-12 | E-MTAB-4029 | biostudies-arrayexpress
Project description:We profiled the tumor heterogeneity of individual primary tumor of breast cancer using a set of patient derived xenograft models with different metastatic potentials. This data set gives insights into the transcriptional tumor heterogeneity and how these are changing in regard to varying metastatic phenotypes.
2022-08-15 | GSE211145 | GEO
Project description:We profiled the tumor heterogeneity of individual primary tumor of breast cancer using a set of patient derived xenograft models with different metastatic potentials. This data set gives insights into the transcriptional tumor heterogeneity and how these are changing in regard to varying metastatic phenotypes.
2022-08-12 | GSE210283 | GEO
Project description:Microarrays were used to assess differences between 1) human tumours that did and did not engraft, 2) human tumours and their matched primary xenografts, 3) early and late passage primary xenografts and 4) small and large primary xenografts for a series of esophageal patient and primary xenograft tumours
2015-01-11 | GSE58870 | GEO
Project description:Gene expression was measured on the Affymetrix platform in primary xenografts, xenograft-derived cell lines, secondary xenografts, normal lung, and primary tumors obtained from chemotherapy naive Small Cell Lung Cancer (SCLC). The SCLC primary xenografts were serially propagated in vivo in immunodeficient mice. Cell lines were derived from each xenograft and grown for 6 months using conventional tissue culture conditions. Secondary xenografts were obtained from cell cultures by re-implantation in immunodeficient mice. Such SCLC laboratory models were analyzed along with conventional SCLC cell lines and the derivative secondary xenografts, with normal lung and primary tumors, to assess irreversible gene expression changes induced by culturing conditions. Experiment Overall Design: SCLC primary xenografts were compared to the corresponding xenograft-derived cell lines, and to the secondary xenografts established from the cell lines using the Affymetrix GeneChip Human Genome U133 Plus 2.0 Array. Gene expression from SCLC primary tumors was measured using the Affymetrix GeneChip Human Genome U133A 2.0 Array. 3 datasets: GSM380476-GSM380512, GSM380513-GSM380516, and GSM380517-GSM380520
2009-06-05 | E-GEOD-15240 | biostudies-arrayexpress