An iPSC Line from Human Pancreatic Ductal Adenocarcinoma Undergoes Early to Invasive Stages of Pancreatic Cancer Progression

AbstractPancreatic cancer (PC) is one of the leading causes of cancer-related death worldwide due to delayed diagnosis and limited treatments. More than 90% of all pancreatic cancers are pancreatic ductal adenocarcinoma (PDAC). Extensive communication between tumour cells and other cell types in the tumour microenvironment have been identified which regulate cancer hallmarks during pancreatic tumorigenesis via secretory factors and extracellular vesicles (EVs). The EV-capsuled factors not only facilitate tumour growth locally, but also enter circulation and reach distant organs to construct a pre-metastatic niche. In this review, we delineate the key factors in pancreatic ductal adenocarcinoma derived EVs that mediate different tumour processes. Also, we highlight the factors that are related to the crosstalk with cancer stem cells/cancer-initiating cells (CSC/CIC), the subpopulation of cancer cells that can efficiently metastasize and resist currently used chemotherapies. Lastly, we discuss the potential of EV-capsuled factors in early diagnosis and antitumour therapeutic strategies.

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Matrix Metalloproteases in Pancreatic Ductal Adenocarcinoma: Key Drivers of Disease Progression?

Biology ◽

10.3390/biology9040080 ◽

2020 ◽

Vol 9 (4) ◽

pp. 80 ◽

Cited By ~ 1

Author(s):

Etienne J. Slapak ◽

JanWillem Duitman ◽

Cansu Tekin ◽

Maarten F. Bijlsma ◽

C. Arnold Spek

Keyword(s):

Pancreatic Cancer ◽

Pancreatic Ductal Adenocarcinoma ◽

Treatment Response ◽

Cancer Progression ◽

Matrix Metalloproteases ◽

Ductal Adenocarcinoma ◽

Matrix Metalloprotease ◽

Genetic Ablation ◽

Key Drivers ◽

Tumor Growth And Metastasis

Pancreatic cancer is a dismal disorder that is histologically characterized by a dense fibrotic stroma around the tumor cells. As the extracellular matrix comprises the bulk of the stroma, matrix degrading proteases may play an important role in pancreatic cancer. It has been suggested that matrix metalloproteases are key drivers of both tumor growth and metastasis during pancreatic cancer progression. Based upon this notion, changes in matrix metalloprotease expression levels are often considered surrogate markers for pancreatic cancer progression and/or treatment response. Indeed, reduced matrix metalloprotease levels upon treatment (either pharmacological or due to genetic ablation) are considered as proof of the anti-tumorigenic potential of the mediator under study. In the current review, we aim to establish whether matrix metalloproteases indeed drive pancreatic cancer progression and whether decreased matrix metalloprotease levels in experimental settings are therefore indicative of treatment response. After a systematic review of the studies focusing on matrix metalloproteases in pancreatic cancer, we conclude that the available literature is not as convincing as expected and that, although individual matrix metalloproteases may contribute to pancreatic cancer growth and metastasis, this does not support the generalized notion that matrix metalloproteases drive pancreatic ductal adenocarcinoma progression.

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Combining the Specific Anti-MUC1 Antibody TAB004 and Lip-MSA-IL-2 Limits Pancreatic Cancer Progression in Immune Competent Murine Models of Pancreatic Ductal Adenocarcinoma

Frontiers in Oncology ◽

10.3389/fonc.2019.00330 ◽

2019 ◽

Vol 9 ◽

Cited By ~ 2

Author(s):

Didier Dréau ◽

Laura Jeffords Moore ◽

Mike Wu ◽

Lopa Das Roy ◽

Lloye Dillion ◽

...

Keyword(s):

Pancreatic Cancer ◽

Pancreatic Ductal Adenocarcinoma ◽

Cancer Progression ◽

Ductal Adenocarcinoma ◽

Murine Models

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A Proteomic Study on the Personalized Protein Corona of Liposomes. Relevance for Early Diagnosis of Pancreatic DUCTAL Adenocarcinoma and Biomarker Detection

Journal of Nanotheranostics ◽

10.3390/jnt2020006 ◽

2021 ◽

Vol 2 (2) ◽

pp. 82-93

Author(s):

Luca Digiacomo ◽

Francesca Giulimondi ◽

Daniela Pozzi ◽

Alessandro Coppola ◽

Vincenzo La Vaccara ◽

...

Keyword(s):

Pancreatic Cancer ◽

Early Diagnosis ◽

Pancreatic Ductal Adenocarcinoma ◽

Protein Corona ◽

Detection Sensitivity ◽

Ductal Adenocarcinoma ◽

Protein Biomarkers ◽

Ca 19.9 ◽

Proteomic Study

Due to late diagnosis, high incidence of metastasis, and poor survival rate, pancreatic cancer is one of the most leading cause of cancer-related death. Although manifold recent efforts have been done to achieve an early diagnosis of pancreatic cancer, CA-19.9 is currently the unique biomarker that is adopted for the detection, despite its limits in terms of sensitivity and specificity. To identify potential protein biomarkers for pancreatic ductal adenocarcinoma (PDAC), we used three model liposomes as nanoplatforms that accumulate proteins from human plasma and studied the composition of this biomolecular layer, which is known as protein corona. Indeed, plasma proteins adsorb on nanoparticle surface according to their abundance and affinity to the employed nanomaterial, thus even small differences between healthy and PDAC protein expression levels can be, in principle, detected. By mass spectrometry experiments, we quantified such differences and identified possible biomarkers for PDAC. Some of them are already known to exhibit different expressions in PDAC proteomes, whereas the role of other relevant proteins is still not clear. Therefore, we predict that the employment of nanomaterials and their protein corona may represent a useful tool to amplify the detection sensitivity of cancer biomarkers, which may be used for the early diagnosis of PDAC, with clinical implication for the subsequent therapy in the context of personalized medicine.

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Discovering key transcriptomic regulators in pancreatic ductal adenocarcinoma using Dirichlet process Gaussian mixture model

Scientific Reports ◽

10.1038/s41598-021-87234-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Sk Md Mosaddek Hossain ◽

Aanzil Akram Halsana ◽

Lutfunnesa Khatun ◽

Sumanta Ray ◽

Anirban Mukhopadhyay

Keyword(s):

Pancreatic Ductal Adenocarcinoma ◽

Mixture Model ◽

Cancer Progression ◽

Dirichlet Process ◽

Network Inference ◽

Correlation Method ◽

Gaussian Mixture ◽

Ductal Adenocarcinoma ◽

Gene Regulatory Network Inference ◽

Gene Modules

AbstractPancreatic Ductal Adenocarcinoma (PDAC) is the most lethal type of pancreatic cancer, late detection leading to its therapeutic failure. This study aims to determine the key regulatory genes and their impacts on the disease’s progression, helping the disease’s etiology, which is still mostly unknown. We leverage the landmark advantages of time-series gene expression data of this disease and thereby identified the key regulators that capture the characteristics of gene activity patterns in the cancer progression. We have identified the key gene modules and predicted the functions of top genes from a reconstructed gene association network (GAN). A variation of the partial correlation method is utilized to analyze the GAN, followed by a gene function prediction task. Moreover, we have identified regulators for each target gene by gene regulatory network inference using the dynamical GENIE3 (dynGENIE3) algorithm. The Dirichlet process Gaussian process mixture model and cubic spline regression model (splineTimeR) are employed to identify the key gene modules and differentially expressed genes, respectively. Our analysis demonstrates a panel of key regulators and gene modules that are crucial for PDAC disease progression.

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NR5A2 transcriptional activation by BRD4 promotes pancreatic cancer progression by upregulating GDF15

Cell Death Discovery ◽

10.1038/s41420-021-00462-8 ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

Feng Guo ◽

Yingke Zhou ◽

Hui Guo ◽

Dianyun Ren ◽

Xin Jin ◽

...

Keyword(s):

Pancreatic Cancer ◽

Cancer Cells ◽

Cancer Progression ◽

Transcriptional Activation ◽

Ductal Adenocarcinoma ◽

Pancreatic Cancer Cells ◽

Gene Sets ◽

And Migration

AbstractNR5A2 is a transcription factor regulating the expression of various oncogenes. However, the role of NR5A2 and the specific regulatory mechanism of NR5A2 in pancreatic ductal adenocarcinoma (PDAC) are not thoroughly studied. In our study, Western blotting, real-time PCR, and immunohistochemistry were conducted to assess the expression levels of different molecules. Wound-healing, MTS, colony formation, and transwell assays were employed to evaluate the malignant potential of pancreatic cancer cells. We demonstrated that NR5A2 acted as a negative prognostic biomarker in PDAC. NR5A2 silencing inhibited the proliferation and migration abilities of pancreatic cancer cells in vitro and in vivo. While NR5A2 overexpression markedly promoted both events in vitro. We further identified that NR5A2 was transcriptionally upregulated by BRD4 in pancreatic cancer cells and this was confirmed by Chromatin immunoprecipitation (ChIP) and ChIP-qPCR. Besides, transcriptome RNA sequencing (RNA-Seq) was performed to explore the cancer-promoting effects of NR5A2, we found that GDF15 is a component of multiple down-regulated tumor-promoting gene sets after NR5A2 was silenced. Next, we showed that NR5A2 enhanced the malignancy of pancreatic cancer cells by inducing the transcription of GDF15. Collectively, our findings suggest that NR5A2 expression is induced by BRD4. In turn, NR5A2 activates the transcription of GDF15, promoting pancreatic cancer progression. Therefore, NR5A2 and GDF15 could be promising therapeutic targets in pancreatic cancer.

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Roles of autophagy and metabolism in pancreatic cancer cell adaptation to environmental challenges

AJP Gastrointestinal and Liver Physiology ◽

10.1152/ajpgi.00138.2017 ◽

2017 ◽

Vol 313 (5) ◽

pp. G524-G536 ◽

Cited By ~ 12

Author(s):

Sandrina Maertin ◽

Jason M. Elperin ◽

Ethan Lotshaw ◽

Matthias Sendler ◽

Steven D. Speakman ◽

...

Keyword(s):

Pancreatic Cancer ◽

Cell Proliferation ◽

Cell Growth ◽

Oxidative Phosphorylation ◽

Pancreatic Ductal Adenocarcinoma ◽

Environmental Stresses ◽

Ductal Adenocarcinoma ◽

Cell Adaptation ◽

Autophagy Inhibition ◽

Dependent Mechanism

Pancreatic ductal adenocarcinoma (PDAC) displays extensive and poorly vascularized desmoplastic stromal reaction, and therefore, pancreatic cancer (PaCa) cells are confronted with nutrient deprivation and hypoxia. Here, we investigate the roles of autophagy and metabolism in PaCa cell adaptation to environmental stresses, amino acid (AA) depletion, and hypoxia. It is known that in healthy cells, basal autophagy is at a low level, but it is greatly activated by environmental stresses. By contrast, we find that in PaCa cells, basal autophagic activity is relatively high, but AA depletion and hypoxia activate autophagy only weakly or not at all, due to their failure to inhibit mechanistic target of rapamycin. Basal, but not stress-induced, autophagy is necessary for PaCa cell proliferation, and AA supply is even more critical to maintain PaCa cell growth. To gain insight into the underlying mechanisms, we analyzed the effects of autophagy inhibition and AA depletion on PaCa cell metabolism. PaCa cells display mixed oxidative/glycolytic metabolism, with oxidative phosphorylation (OXPHOS) predominant. Both autophagy inhibition and AA depletion dramatically decreased OXPHOS; furthermore, pharmacologic inhibitors of OXPHOS suppressed PaCa cell proliferation. The data indicate that the maintenance of OXPHOS is a key mechanism through which autophagy and AA supply support PaCa cell growth. We find that the expression of oncogenic activation mutation in GTPase Kras markedly promotes basal autophagy and stimulates OXPHOS through an autophagy-dependent mechanism. The results suggest that approaches aimed to suppress OXPHOS, particularly through limiting AA supply, could be beneficial in treating PDAC. NEW & NOTEWORTHY Cancer cells in the highly desmoplastic pancreatic ductal adenocarcinoma confront nutrient [i.e., amino acids (AA)] deprivation and hypoxia, but how pancreatic cancer (PaCa) cells adapt to these conditions is poorly understood. This study provides evidence that the maintenance of mitochondrial function, in particular, oxidative phosphorylation (OXPHOS), is a key mechanism that supports PaCa cell growth, both in normal conditions and under the environmental stresses. OXPHOS in PaCa cells critically depends on autophagy and AA supply. Furthermore, the oncogenic activation mutation in GTPase Kras upregulates OXPHOS through an autophagy-dependent mechanism.

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