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Virtual Microdissection of Pancreatic Ductal Adenocarcinoma Reveals Tumor and Stroma Subtypes.

ABSTRACT: Pancreatic ductal adenocarcinoma (PDAC) remains a lethal disease with a 5-year survival of 4%. A key hallmark of PDAC is extensive stromal involvement, which makes capturing precise tumor-specific molecular information difficult. Here, we have overcome this problem by applying blind source separation to a diverse collection of PDAC gene expression microarray data, which includes primary, metastatic, and normal samples. By digitally separating tumor, stroma, and normal gene expression, we have identified and validated two tumor-specific subtypes including a â€œbasal-likeâ€ subtype which has worse outcome, and is molecularly similar to basal tumors in bladder and breast cancer. Furthermore, we define 'normal' and 'activated' stromal subtypes which are independently prognostic. Our results provide new insight into the molecular composition of PDAC which may be used to tailor therapies or provide decision support in a clinical setting where the choice and timing of therapies is critical.

ORGANISM(S): Homo sapiens

PROVIDER: GSE71729 | GEO | 2015/09/07

SECONDARY ACCESSION(S): PRJNA293520

REPOSITORIES: GEO

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Virtual Microdissection of Pancreatic Ductal Adenocarcinoma Reveals Tumor and Stroma Subtypes.

Project description:Pancreatic ductal adenocarcinoma (PDAC) remains a lethal disease with a 5-year survival of 4%. A key hallmark of PDAC is extensive stromal involvement, which makes capturing precise tumor-specific molecular information difficult. Here, we have overcome this problem by applying blind source separation to a diverse collection of PDAC gene expression microarray data, which includes primary, metastatic, and normal samples. By digitally separating tumor, stroma, and normal gene expression, we have identified and validated two tumor-specific subtypes including a â€œbasal-likeâ€ subtype which has worse outcome, and is molecularly similar to basal tumors in bladder and breast cancer. Furthermore, we define 'normal' and 'activated' stromal subtypes which are independently prognostic. Our results provide new insight into the molecular composition of PDAC which may be used to tailor therapies or provide decision support in a clinical setting where the choice and timing of therapies is critical. Analysis of the landscape of gene expression in pancreatic adenocarcinoma. Data include 145 primary and 61 metastatic PDAC tumors, 17 cell lines, 46 pancreas and 88 distant site adjacent normal samples. Arrays represent distinct samples. The SPOT column in the raw data file (linked to each sample record) contains Agilent feature extraction numbers (included in the 'GPL4133-20424.txt' linked to the platform records).

2015-09-07 | E-GEOD-71729 | biostudies-arrayexpress

Single-Cell Analysis of Human Pancreatic Ductal Adenocarcinoma

Project description:<p>Cancer-associated fibroblasts (CAFs) are major players in the progression and drug resistance of pancreatic ductal adenocarcinoma (PDAC). CAFs constitute a diverse cell population consisting of several recently described subtypes, although the extent of CAF heterogeneity has remained undefined. Here we employ single-cell RNA-sequencing to thoroughly characterize the neoplastic and tumor microenvironment content of human PDAC tumors. Six human PDAC tumor specimens from six patients were collected, and processed for single-cell RNA-sequencing analysis. Adjacent-normal pancreas tissue was also collected from two of the patients. Tumor samples were digested, and fluorescence-activated cell sorting was used to isolate viable cells. For one tumor sample, viable, CD45-negative, CD31-negative, and EpCAM-negative cells were also isolated to enrich for CAFs. The 10X Chromium platform was then used to isolate single cells for RNA-sequencing analysis. This work has demonstrated the differences in immune cell populations between adjacent-normal and tumor tissues, and identified subpopulations of epithelial cells and CAFs present in PDAC tumors. This high-throughput analysis is a resource to better understand the cell populations present in PDAC, and may ultimately aid in the development of more effective therapies for this deadly malignancy.</p>

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The SUMO Pathway as a Therapeutic Option in Pancreatic Cancer

Project description:Pancreatic ductal adenocarcinoma (PDAC) still carries a dismal prognosis with overall five-year survival of 8%. Conventional combination chemotherapies are a clear advance in the treatment of PDAC, however subtypes of the disease exist, which exhibit extensive resistance to such therapies. Genomic MYC amplifications represent a distinct subset of PDAC with an aggressive tumor biology. It is clear that hyperactivation of MYC generates dependencies, which can be exploited therapeutically. To find MYC-associated dependency we analyzed human PDAC expression dataset. We observed that MYC is connected to the sumoylation machinery in PDAC. Components of the SUMO pathway mark a PDAC subtype with worse prognosis and we provide evidence that PDACs with a MYChigh/SUMOhigh phenotype respond to a novel SUMO inhibitor, offering the opportunity to develop novel stratified PDAC therapies

2019-01-01 | GSE119423 | GEO

LC-MS/MS analyses of human PDAC cell lines after treatment with a new SUMO inhibitor

Project description:Pancreatic ductal adenocarcinoma (PDAC) still carries a dismal prognosis with overall five-year survival of 8%. Conventional combination chemotherapies are a clear advance in the treatment of PDAC, however subtypes of the disease exist, which exhibit extensive resistance to such therapies. Genomic MYC amplifications represent a distinct subset of PDAC with an aggressive tumor biology. It is clear that hyperactivation of MYC generates dependencies that can be exploited therapeutically. To find MYC-associated dependencies we analyzed human PDAC expression datasets. We observed that MYC is connected to the SUMOylation machinery in PDAC. Components of the SUMO pathway mark a PDAC subtype with worse prognosis and we provide evidence that hyperactivation of MYC is connected to an increased sensitivity to a novel SUMO inhibitor with a potential for further clinical development.

2020-01-06 | PXD011347 | Pride

Epithelial to Mesenchymal Plasticity and Differential Response to Therapies in Pancreatic Ductal Adenocarcinoma

Project description:PDAC epithelial (E) and quasi-mesenchymal (QM) subtypes can be modulated by different therapies demonstrating the plasticity of PDAC cells that contributes to the heterogeneity of PDAC tumors and their intrinsic resistance to a broad spectrum of therapies. Understanding and monitoring the fluidity of PDAC E and QM states are critical to the development of improved clinical trial design to target these different subpopulations

2020-01-08 | GSE141116 | GEO

Coordinated single cell tumor microenvironment dynamics reinforce pancreatic cancer subtype

Project description:Bulk analyses of pancreatic ductal adenocarcinoma (PDAC) samples are complicated by the tumor microenvironment (TME), i.e. signals from fibroblasts, endocrine, exocrine, and immune cells. Despite this, we and others have established tumor and stroma subtypes with prognostic significance. However, the interaction of underlying signals driving distinct immune and stromal landscapes is still unclear. Here we integrate 92 single cell RNA-seq samples from seven independent studies to build a reproducible PDAC atlas with a focus on tumor-TME interdependence. Patients with activated stroma are synonymous with higher myofibroblastic and immunogenic fibroblasts, and furthermore show increased M2-like macrophages and regulatory T-cells. Contrastingly, patients with ‘normal’ stroma showed M1 recruitment, elevated effector and exhausted T-cells. To aid interoperability of future studies, we provide a pretrained cell type classifier and an atlas of subtype-based signaling factors that we also validate in mouse data. Ultimately, this work leverages the heterogeneity among single-cell studies to create a comprehensive view of the orchestra of signaling interactions governing PDAC.

2023-06-25 | GSE231535 | GEO

Functional metabolic phenotyping of human pancreatic ductal adenocarcinoma (Xenografts)

Project description:Gene expression analysis was performed on tumor-derived RNA from human PDAC xenograft to study the metabolic differences in the different PDAC subtypes

2021-12-31 | E-MTAB-10784 | biostudies-arrayexpress

Regulation of GLI underlies a role for BET bromodomains in pancreatic cancer growth and the tumor microenvironment

Project description:Pancreatic ductal adenocarcinoma (PDAC) is extraordinarily chemoresistant and the abundant stromal content of these tumors contributes to the ineffective treatment of this disease. While the genetic alterations of PDAC have been well characterized, the epigenetic pathways regulating PDAC remain, for the most part, elusive. Employing an in vivo shRNA screen targeting epigenetic regulators, we identified members of the BET family of chromatin adaptors as key regulators of PDAC cell growth and maintenance of the tumor stroma. BET family members contribute to PDAC cell growth by modulating the activity of two key transcriptional programs, MYC and GLI. Within the cancer cells, BET inhibition also results in down-regulation of a key mediator of the tumor microenvironment, SHH, corresponding to a decrease in the stromal content of tumors. Taken together, these results suggest that therapeutic inhibition of BET proteins offers a novel mechanism to target both the neoplastic and stromal components of PDAC. Total RNA was isolated from 4 untreated PDAC cell lines or those exposedto the BET bromodomain inhibibitor CPI203 (1.6 uM) or control DMSO for 5 and 10 hours

2016-09-08 | E-GEOD-55209 | biostudies-arrayexpress

Notch2 controls non-autonomous Wnt-signalling in chronic lymphocytic leukaemia

Project description:The Wnt-signalling pathway is one of the core de-regulated pathways in chronic lymphocytic leukemia (CLL), activated in a subset of patients by somatic coding mutations. Here we describe an alternative mechanism of Wnt-activation in malignant B cells, mediated by Notch2 activity in mesenchymal stromal cells (MSC) in the tumor microenvironment. We identified that tumor cells specifically induce and activate Notch2 in MSCs. Notch2 orchestrates the expression of target genes essential for the activation of canonical Wnt-signaling in CLL cells. Mechanistically, stromal Notch2 mediates the stabilization of â-catenin by inhibiting the activation of Gsk3-â in malignant B cells. Pharmacological inhibition of the Wnt-pathway mitigates microenvironment-mediated survival of malignant B cells in vitro. Similarly, inhibition of Notch-signaling impaired survival of CLL cells and disease engraftment in a PDX mouse model. Notch2 activation in the tumour microenvironment is a pre-requisite for the GSK3-â dependent activation of the canonical Wnt-signaling in tumor cells.

2018-09-19 | PXD010401 | Pride

Stromal evolution of cancer-associated fibroblasts in PDAC GEMMs

Project description:With the advent of cancer immunotherapy, intense investigation has been focused on tumor-infiltrating immune cells. With only a fraction of patients responding to these new therapies, a better understanding of all elements of the tumor microenvironment (TME) that may influence therapeutic outcome is needed. Stromal elements of the TME, chiefly fibroblasts, have emerged as potential contributors to tumor progression and most recently resistance to immunotherapy, but their precise composition and clinical relevance remain incompletely understood. Here we use single-cell transcriptomics to chart the fibroblastic landscape during pancreatic ductal adenocarcinoma (PDAC) progression in animal models, identifying two healthy tissue fibroblast subsets that co-evolve along individual trajectories into four subsets of carcinoma-associated fibroblasts (CAFs).

2019-10-31 | E-MTAB-8483 | biostudies-arrayexpress

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