Ontology highlight
ABSTRACT:
PROVIDER: PRJNA675382 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We have generated a collection of patient-derived xenograft (PDX) tumor models and characterized them at the molecular level to facilitate precision oncology. Surgically resected HCC specimens were subcutaneously implanted in immunodeficient mice. Resulting xenografts were serially implanted to establish transplantable PDX models, which were sequentially subject to whole exome sequencing (WES), gene expression array, genome-wide human single nucleotide polymorphism (SNP) array 6.0, and serum a–fetoprotein (AFP) detection assay. The feasibility as a preclinical model was validated by efficacy studies using a standard-of-care (SOC) and a targeted agent, respectively.
2014-03-13 | E-GEOD-55828 | biostudies-arrayexpress
Project description:We have generated a collection of patient-derived xenograft (PDX) tumor models and characterized them at the molecular level to facilitate precision oncology.
2014-03-13 | GSE55828 | GEO
Project description:Breast cancer is the most commonly diagnosed cancer among women. PDXs (patient-derived xenografts) are similar to cancer cell lines but differ in that they are maintained in a physiological setting as soon as they are isolated from the patient and for subsequent passages. These models are valuable for preclinical trials because PDX models have been shown to closely match their patient counterparts, both in genomic profile and response to treatment. Collection of RNA-expression data from multiple PDX models was performed to generate a library of RNA-sequencing data which may be utilized to compare tumors from different subtypes or treatment groups.
2023-07-18 | GSE235167 | GEO
Project description:Purpose: The goal of this study is to establish and molecularly characterize non-small cell lung cancer (NSCLC) organoids. Generation of NSCLC organoids would provide additional preclinical models for drug screening and biomarker discovery. Methods: Patient lung tumors and previously established patient-derived xenografts (PDX) were processed to generate organoids. Total RNA was extracted and subjected to RNA-seq to examine the gene expression similarity between patient/PDX/organoid of the same model using t-SNE clustering. Results: Through RNA-sequencing, we generated TPM values of patient, PDX and organoid samples of 5 models. t-SNE analysis showed that the patient/PDX/organoid of the same models clustered together. The lung adenocarcinoma samples formed a separate cluster from the squamous cell carcinoma samples based on gene expression. Conclusions: Our study introduces the establishment of NSCLC organoids and demonstrates the gene expession similarity of the organoid model to its corresponding PDX and patient sample.
2019-11-26 | GSE119004 | GEO
Project description:Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived xenografts (PDX) are appearing as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. We generated subcutaneous PDX from PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). The extensive multiomics characterization of the xenografts demonstrated that PDX is a suitable model for preclinical studies, representing the diversity of the primary cancers. this dataset, describe the RNA sequencing data used in the multiomics study.
2017-12-12 | E-MTAB-5039 | biostudies-arrayexpress
Project description:Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived xenografts (PDX) are appearing as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. We generated subcutaneous PDX from PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). The extensive multiomics characterization of the xenografts demonstrated that PDX is a suitable model for preclinical studies, representing the diversity of the primary cancers. We generated subcutaneous PDX from PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). The variable 'MultiOmicsClassification' indicates the resulting sample's group. 'CIMPclass' is the CpG island methylator phenotype as estimated from the methylation arrays analysis. In this dataset, Illumina Infinium HumanCode-24 BeadChips SNP arrays were used to analyze the DNA xenografts samples from pancreatic ductal adenocarcinoma.
2017-12-12 | E-MTAB-5006 | biostudies-arrayexpress
Project description:Pancreatic ductal adenocarcinoma has a very poor prognosis, and new therapies and preclinical models are urgently needed. We developed patient-derived xenografts (PDXs), established PDX-derived cell lines (PDCLs), and generated cell line-derived xenografts (CDXs), and integrated these to create 13 matched trios, as systematic models for this cancer. Orthotopic implantation (OI) of PDCLs showed tumorigenesis and metastases to the liver and peritoneum. Morphological comparisons of OI-CDX and OI-PDX with passaged tumors showed that histopathological features of the original tumor were maintained in both models. Molecular alterations in PDX tumors (including those to KRAS, TP53, SMAD4, and CDKN2A) were similar to those in the respective PDCLs and CDX tumors. Comparing gene expression in PDCLs, ectopic tumors, and OI tumors, CXCR4 and CXCL12 genes were specifically upregulated in OI tumors, whose immunohistochemical profiles suggested epithelial-mesenchymal transition and adeno-squamous trans-differentiation. These patient-derived tumor models provide useful tools for preclinical research into pancreatic ductal adenocarcinoma. We performed comprehensive gene expression profiling of 13 pancreatic cancer cell lines, 14 CDX and 14 PDX tumors by Affymetrix Gene Chip HG-U133Plus2.0.
2022-02-16 | GSE157494 | GEO
Project description:A Cartes d'Identit des Tumeurs (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net): Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived xenografts (PDX) are appearing as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. We generated subcutaneous PDX from PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). The extensive multiomics characterization of the xenografts demonstrated that PDX is a suitable model for preclinical studies, representing the diversity of the primary cancers. the MultiOmicClassification variable indicates groups resulting from the analysis, and the CIMPclass, the CpG Island Methylator Phenotype as estimated by the methylation analysis. This dataset, describes the miRNA-Seq data used in the multiOmics analysis.
2017-12-12 | E-MTAB-5018 | biostudies-arrayexpress
Project description:Patient-derived xenografts (PDX) and organoids (PDO) have been shown to model clinical response to cancer therapy. However, it remains challenging to use these models to guide timely clinical decisions for cancer patients. Here we used droplet emulsion microfluidics with temperature control and dead-volume minimization to rapidly generate thousands of Micro- Organospheres (MOS) from low-volume patient tissues, which serve as an ideal patient-derived model for clinical precision oncology. A clinical study of newly diagnosed metastatic colorectal cancer (CRC) patients using a MOS-based precision oncology pipeline reliably predicted patient treatment outcome within 14 days, a timeline suitable for guiding treatment decisions in clinic. Furthermore, MOS capture original stromal cells and allow T cell penetration, providing a clinical assay for testing immuno-oncology (IO) therapies such as PD-1 blockade, bispecific antibodies, and T cell therapies on patient tumors.
2022-09-01 | GSE184242 | GEO
Project description:Patient-derived tumor xenografts (PDXs) increasingly are being used as preclinical models to study human cancers and to evaluate novel therapeutics, as they reflect clinical cancers more closely than established tumor cell lines. With >100 PDXs established from resected non-small cell lung carcinomas (NSCLC), we reported previously that xenograftability correlates significantly with poorer patient prognosis. In this study, genomic, transcriptomic, and proteomic profiling of 36 PDXs showed greater similarity in somatic alterations between PDX and primary tumors than with cell lines, using publicly available data on the latter. A higher number of somatic alterations among 865 frequently altered genes in the PDX tumors was associated with better overall patient survival (HR=0.15, p=0.00015) compared to patients with corresponding PDXs characterized by a lower number of alterations; this was validated with the TCGA lung cancer patient dataset (HR=0.28, p=0.000022). These passenger-like alterations, identified in PDXs, link cell-cell signaling and adhesion to patient prognosis. Total RNAs from xenograftswere amplified by DASL kit and hybridized to Illumina HT12v4 chip
2016-10-26 | E-GEOD-68929 | biostudies-arrayexpress