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accession-icon GSE51931
Pancreatic cancer-induced cachexia syndrome
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Cancer cachexia syndrome is observed in 80% of patients with advanced-stage cancer, and it is one of the most frequent causes of death. Severe wasting accounts for more than 80% in patients with advanced pancreatic cancer. Here we wanted to define, by using an microarray approach and the Pdx1-cre;LSL-KrasG12D;INK4a/arffl/fl, the pathways involved in muscle, liver and white adipose tissue wasting.

Publication Title

Pancreatic cancer-induced cachexia is Jak2-dependent in mice.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

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accession-icon GSE42322
Nuclear protein (Nupr)-1 is required for pancreatic adenocarcinoma development in Pdx1-cre;LSL-KrasG12D;Ink4a/Arffl/fl mice
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Nuclear Protein 1 (Nupr1) is a major actor of the cell stress response required for KrasG12D-driven formation of pancreatic intraepithelial neoplastic (PanINs) lesions in mice. We investigated the impact of Nupr1-depletion on the development and biology of murin pancreatic adenocarcinomas (PDAC) in the Pdx1-cre;LSL-KrasG12D;Ink4a/Arffl/fl (KIC) mice. We found that only one half of Nupr1-deficient mice developed PDAC. This is related to increased caspase 3 activity and low IER3 expression in Nupr1-deficient;KIC in the pancreas. Moreover, when Nupr1-deficient;KIC mice do develop PDAC, tumors present with impaired epithelial-to-mesenchymal transition (EMT). Transcriptoma analysis revealed that Nupr1-deficient and Nupr1wt;KIC PDACs presented enrichment of gene signatures of the human classical- and quasi-mesenchymal (QM)-PDAC respectively. Moreover, Nupr1-deficient;KIC PDACs shared with human classical-PDACs overexpression of Kras-activation genes. In addition, cells derived from Nupr1-deficient;KIC PDACs formed fewer microspheres in vitro compared to Nupr1wt;KIC cells, indicative of stemness impairment in the absence of Nupr1. Finally, we found that Nupr1-deficient;KIC cells were more sensitive to some anticancer drugs than their Nupr1wt counterpart. Hence, this study establishes the pivotal role of Nupr1 in PDAC progression after PanIN and in PDAC EMT in vivo, with an impact in PDAC cell stemness. As a consequence, according to absence or presence of Nupr1, KIC mice develop tumors that phenocopy human classical- or QM-PDAC, respectively, thus becoming attractive models for preclinical drug trials.

Publication Title

Genetic inactivation of Nupr1 acts as a dominant suppressor event in a two-hit model of pancreatic carcinogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE17987
Novel treatment of human pancreatic cancer using masitinib combined with standard gemcitabine chemotherapy
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Masitinib is a tyrosine kinase inhibitor of c-Kit, PDGFR and , and to some extent Lyn of the Src kinase family. We evaluated the therapeutic potential of masitinib in vitro on human pancreatic tumour cell lines and in vivo in a mouse model of human pancreatic cancer.

Publication Title

Masitinib combined with standard gemcitabine chemotherapy: in vitro and in vivo studies in human pancreatic tumour cell lines and ectopic mouse model.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE55513
Transcriptome Analysis Predicts Clinical Outcome and Sensitivity to Anticancer Drugs of patients with a Pancreatic Adenocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

A major impediment to the effective treatment of patients with PDAC (Pancreatic Ductal Adenocarcinoma) is the molecular heterogeneity of the disease, which is reflected in an equally diverse pattern of clinical responses to therapy. We developed an efficient strategy in which PDAC samples from 17 consecutively patients were obtained by EUS-FNA or surgery, their cells maintained as a primary culture and tumors as breathing tumors by xenografting in immunosuppressed mice. For these patients a clinical follow up was obtained. On the breathing tumors we studied the RNA expression profile by an Affymetrix approach. We observed a significant heterogeneity in their RNA expression profile, however, the transcriptome was able to discriminate patients with long- or short-time survival which correspond to moderately- or poorly-differentiated PDAC tumors respectively. Cells allowed us the possibility to analyze their relative sensitivity to several anticancer drugs in vitro by developing a chimiogram, like an antibiogram for microorganisms, with several anticancer drugs for obtaining an individual profile of drug sensitivity and as expected, the response was patient-dependent. Interestingly, using this approach, we also found that the transcriptome analysis could predict the sensitivity to some anticancer drugs of patients with a PDAC. In conclusion, using this approach, we found that the transcriptome analysis could predict the sensitivity to some anticancer drugs and the clinical outcome of patients with a PDAC.

Publication Title

Transcriptomic analysis predicts survival and sensitivity to anticancer drugs of patients with a pancreatic adenocarcinoma.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE61412
Expression data from advanced stage of murine pancreatic ductal adenocarcinoma (PDAC) and control pancreas
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to detail the global gene expression signature of PDAC and to identify distinct up- and down-regulated transcripts in these tumors compared to control pancreas. We also established from this dataset the metabolic signature of PDAC in order to define new metabolic therapeutic target for pancreatic cancer.

Publication Title

Cholesterol uptake disruption, in association with chemotherapy, is a promising combined metabolic therapy for pancreatic adenocarcinoma.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE50570
Slit2/Robo axis is mandatory for neural remodeling in pancreatic cancer.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Pancreatic Ductal Adenocarcinoma (PDA) is a critical health issue in cancer field with little new therapeutic options. Several evidences support an implication of intra-tumoral microenvironment (stroma) on PDA progression. However, its contribution to the role of neuroplastic changes within pathophysiology and clinical course of PDA, mainly through tumor recurrence and neuropathic pain, remains unknown neglecting a putative therapeutic window. Here, we report that intra-tumoral microenvironment is a mediator of PDA Associated Neural Remodeling (PANR). With laser capture microdissection of stromal/tumoral compartment from human PDA followed by cDNA based microarray analyses we highlighted numerous factors expressed by stromal compartment that could impact on neuroplastic changes; among them, the Slit2/Robo axon guidance pathway. Using co-culture in vitro, we showed that stromal secreted Slit2 increases DRG neurite outgrowth and Schwann cells migration/proliferation by modulating N-Cadherin/-Catenin signaling. Importantly, Slit2/Robo signaling inhibition disrupts this stromal/neural connection. Finally, we revealed in vivo that Slit2 expression is correlated with neural remodeling within Human and mouse PDA. These results demonstrate the implication of microenvironment, through secretion of axon guidance molecule, in PANR. Furthermore, it provides rationale to investigate the disruption of stromal/neural compartment dialogue by using Slit2/Robo pathway inhibitors for treatment of pancreatic cancer recurrence and associated pain.

Publication Title

Stromal SLIT2 impacts on pancreatic cancer-associated neural remodeling.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE89792
Gene Expression Profiling of Patient-Derived Pancreatic Cancer Xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: Implications to individualized medicine efforts
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

c-Myc controls more than 15% of genes responsible for proliferation, differentiation, and cellular metabolism in pancreatic as well as other cancers making this transcription factor a prime target for treating patients. The transcriptome of 55 patient derived xenografts show that 30% of them share an exacerbated expression profile of MYC transcriptional targets (MYC-high). This cohort is characterized by a high level of Ki67 staining, a lower differentiation state and a shorter survival time compared to the MYC-low subgroup. To define classifier expression signature, we selected a group of 10 MYC targets transcripts which expression is increased in the MYC-high group and 6 transcripts increased in the MYC-low group. We validated the ability of these markers panel to identify MYC-high patient-derived xenografts from both: discovery and validation cohorts as well as primary cells cultures from the same patients. We then showed that cells from MYC-high patients are more sensitive to JQ1 treatment compared to MYC-low cells, in both monolayer and 3D cultured spheroids, due to cell cycle arrest followed by apoptosis. Therefore, these results provide new markers and potentially novel therapeutic modalities for distinct subgroups of pancreatic tumors and may find application to the future management of these patients within the setting of individualized medicine clinics.

Publication Title

Gene expression profiling of patient-derived pancreatic cancer xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: implications for individualized medicine efforts.

Sample Metadata Fields

Disease

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accession-icon GSE95042
KDM4 inhibition targets breast cancer stem cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Cancer progression is associated with alterations of epigenetic regulators such as histone-lysine demethylases 4 (KDM4)2-5. During breast cancer therapy, classical treatments fail to address resistant cancer stem cell populations6-10. Here, we identified a novel KDM4 inhibitor (KDM4(i)) with unique preclinical characteristics. KDM4(i) is a highly potent pan KDM4 inhibitor that specifically blocks the demethylase activity of KDM4A, B, C, and D but not that of the other members of the KDM family. We validated the KDM4(i) anti-tumoral properties under conditions recapitulating patient tumors. Therefore, we established a method to isolate and grow triple-negative breast cancer stem cells (BCSCs) from individual patient tumors after neoadjuvant chemotherapy. Limiting dilution orthotopic xenografts of these BCSCs faithfully regenerate original patient tumor histology and gene expression. KDM4(i) blocks proliferation, sphere formation and xenograft tumor growth of BCSCs. Importantly, KDM4(i) abrogates expression of EGFR, a driver of therapy-resistant triple-negative breast tumor cells11, via inhibition of the KDM4A demethylase activity. Taken together, we present a unique BCSC culture system as a basis for therapeutic compound identification and demonstrate that KDM4 inhibition is a new therapeutic strategy for the treatment of triple-negative breast cancer.

Publication Title

KDM4 Inhibition Targets Breast Cancer Stem-like Cells.

Sample Metadata Fields

Sex, Specimen part, Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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