Project description:Expression profiling of over 60000 RNAs was performed using cDNA microarray. The profiling was performed using serum EV RNA from PDAC patients compared with healthy individuals.
Project description:26 breast cancer patient serum EV derived RNA and 4 control serum EV derived RNA was sequenced to explore the diagnostic potential of EV. EV RNA was isolated by EXOQUICK® Exosome isolation and RNA purification kit for serum/plasma (System Biosciences,CA) and was reverse transcribed to make amplified cDNA by SMART seq v4 ultra-low input RNA kit (Takara Bio Inc, USA). A sequencing library was made using 1 ng of sheared cDNA using The Low Input Library Prep Kit v2 (Takara Bio Inc, USA). DNA unique Dual index kit was used to combine libraries for sequencing (Takara Bio Inc, USA). NOVASEQ 6000 was used for sequencing to generate 25 million paired end reads per sample.
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. <br>Note: Sample phenotypes have been updated on 2020-09-11 to correct the swapped labels between \"classical\" and \"basal\" phenotypes.
Project description:Background: Tumor stage predicts pancreatic cancer (PDAC) prognosis, but prolonged and short survivals have been described in patients with early-stage tumors. Circulating microRNA (miRNA) are an emerging class of suitable biomarkers for PDAC prognosis. Our aim was to identify whether serum miRNA signatures predict survival of early-stage PDAC. Methods: Se-rum RNA from archival 15 stage I-III PDAC patients and 4 controls was used for miRNAs ex-pression profile (Agilent microarrays). PDAC patients with comparable age, gender, diabetes, jaundice and surgery were classified according to survival: less than 14 months (7/15 pts, group A) and more than 22 months (8/15 pts, group B). Bioinformatic data analysis was performed by two-class Significance Analysis of Microarray (SAM) algorithm. Binary logistic regression analyses considering PDAC diagnosis and outcome as dependent variables, and ROC analyses were also performed. Results: 2549 human miRNAs were screened out. At SAM, 76 differen-tially expressed miRNAs were found among controls and PDAC (FDR = 0.4%), the large major-ity (50/76, 66%) of them being downregulated in PDAC with respect to controls. Six miRNAs were independently correlated with early PDAC, and among these, hsa-miR-6821-5p was asso-ciated with the best ROC curve area in distinguishing controls from early PDAC. Among the 71 miRNAs differentially expressed between groups A and B, the most significant were hsa-miR-3135b expressed in group A only, hsa-miR-6126 and hsa-miR-486-5p expressed in group B only. Eight miRNAs were correlated with the presence of lymph-node metastases; among these, hsa-miR-4669 is of potential interest. hsa-miR-4516, increased in PDAC and found as an independent predictor of survival, has among its putative targets a series of gens involved in key pathways of cancer progression and dissemination, such as Wnt and p53 signaling pathways. Conclusions: A series of serum miRNAs was identified as potentially useful for the early diag-nosis of PDAC, and for establishing a prognosis
Project description:In our study, we aimed to investigate adaptive processes of tumors under treatment and therefore, generated PDAC patient-derived organoids (PDOs) and 2D cell lines before and after chemotherapy. We enrolled a patient with borderline resectable PDAC who received neoadjuvant FOLFIRINOX. Endoscopic fine needle (pre-FFX) and surgical biopsies (post-FFX) were used to generate PDOs and 2D cells. Whole exome sequencing (WES) and RNA sequencing data of the pre-FFX and post-FFX organoids were compared in order to evaluate the genetic landscape and PDAC subtypes. Although transcriptional subtyping classified both PDOs as classical PDAC, gene set enrichment analysis (GSEA) revealed a reduced pathway activation linked to the basal-like phenotype such as KRAS signaling in the post-FFX organoids. WES did not show major differences in the genetic landscape of the tumor pre- and post-FFX induction suggesting a plasticity process rather than a clonal selection during chemotherapy. 2D cells were subjected to an unbiased automated drug screening of 415 compounds to investigate FFX-induced vulnerabilities. Top targets such as MEK inhibitors were validated manually in the 2D cells and organoids and an increased sensitivity was observed in the post-FFX cells. Thus, integrating functional layers into personalized medicine allows to identify chemotherapy-induced vulnerabilities as potent targeted therapy options in PDAC.
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:In the research field of extracellular vesicles (EVs), the use of EV-depleted fetal bovine serum (FBS) for in vitro studies is highly recommended to eliminate the confounding effects of media derived EVs. EV-depleted FBS may either be prepared by ultracentrifugation or bought commercially, nevertheless these depletion methods do not guarantee an RNA-free preparation. In this study we have addressed the RNA contamination issue in FBS, ultracentrifuged EV-depleted FBS, commercially available EV-depleted FBS, and also from our recently developed filtration based EV depleted FBS. Commercially available serum-free, xeno-free defined media were also screened for RNA contamination.