Project description:We report a high degree of correlation between PDAC patient derived orgnanoid (PDO) drug sensitivity and clinical responses. This finding supports the utility of PDOs to tailor therapy for individual patients to improve clinical outcomes.
2021-11-10 | GSE187619 | GEO
Project description:Histone marks CUT&Tag libraries in PDAC PDO
Project description:Two molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) have been proposed: the “Classical” and “Basal-like” subtypes. However, the “molecular” classification has not been applied in real-world clinical practice. This study aimed to establish patient-derived organoids (PDOs) for PDAC and evaluate their application in subtype classification and clinical outcome prediction. We constructed a PDO library for morphologic and RNA-seq analyses and drug response assays in vitro. PDOs of PDAC were established at a high efficiency (> 70%) with at least 100,000 live cells. Morphologically, PDOs were classified as gland-like structures (GL type) or densely proliferating inside (DP type). RNA-seq analysis revealed that the “morphological” subtype (GL vs. DP) roughly corresponded to the “molecular” subtype (“Classical” vs. “Basal-like”). The proposed “morphological” classification predicted clinical treatment response and prognosis; the median overall survival of patients with GL type were significantly longer than that of those with DP type (P < 0.005). The GL type showed a better response to gemcitabine than the DP type in vitro, whereas the drug response of the DP type was improved by the combination of ERK and autophagy inhibition. PDAC PDOs facilitated subtype determination and clinical outcome prediction, thereby advancing precision medicine for PDAC.
Project description:We performed RNA-sequencing to investigate the gene expression profiles of colorectal cancer patient-derived organoids (PDO) and PDO-initiated spontaenous metastases mouse models
Project description:Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived tumor xenografts (PDTXs) have been increasingly used as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. Extensive multiomics characterization of these PDTXs have demonstrated their utility as a suitable model for preclinical studies, representing the diversity of the primary cancers. We performed a multi-factorial integrative analysis of genome-wide ChIP-seq on multiple histone modifications, as well as RNA-seq on subcutaneous PDTXs from 24 PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). In the dataset, ChIP-seq for five distinct histone marks (H3K4me1, H3K27ac, H3K4me3, H3K27me3, and H3K9me3) and RNA-seq was carried out to generate new knowledge on the epigenetic landscapes underlying the heterogeneity of PDAC tissues grown in this manner.
Project description:The goal of this study was to determine IGF2BP3 regulation of RNA targets in human pacreatic ductal adenocarcinoma cell lines Included are iCLIP-seq libraries for IGF2BP3 from PL45 and Panc1 PDAC cell samples, RIP-seq samples from PL45 and Panc1 PDAC cells, RNA-seq data sets from control and IGF2BP3 knockdown in PL45 and Panc1 PDAC cells, and small RNA-seq samples from Panc1 cells
Project description:Pancreatic ductal adenocarcinoma (PDAC) has one of the lowest cancer survival rates. Although KRAS oncogenes are responsible for the initiation of most PDACs, thus far KRAS inhibitors have not changed their clinical outcome. Here, we describe a therapeutic strategy that combines inhibition of three independent signaling nodes involved in downstream (RAF1), upstream (EGFR) and orthogonal (STAT3) KRAS signaling pathways. Genetic elimination and/or pharmacological inhibition/degradation of these independent nodes in orthotopic mouse tumor models results in their complete and durable regression. The efficacy of this therapeutic strategy has also been validated in several patient-derived organoid (PDO) and xenograft (PDX) PDAC tumor models using a combination of a Pan-ERBB inhibitor (Afatinib), a selective STAT3 PROTAC (SD36) and a RAF1 shRNA. Importantly, this triple strategy did not induce significant toxicities. These results open the door to the development of novel targeted therapies for PDAC patients.