scholarly journals The Genetic Basis of Transcriptional and Spatial Heterogeneity of Squamous Features in Pancreatic Ductal Adenocarcinoma

2019 ◽  
Author(s):  
Akimasa Hayashi ◽  
Jun Fan ◽  
Ruoyao Chen ◽  
Yu-jui Ho ◽  
Alvin P. Makohon-Moore ◽  
...  

SummaryRecent studies indicate that pancreatic cancer expression profiles are variable and largely reflect a classical or basal-type phenotype. We performed genetic sequencing, RNA-seq, and histologic review of multiregion sampled pancreatic cancers and found that squamous and squamoid features, indicators of poor prognosis, correlate with a “basal-like” expressional type. Cancers with squamous features were more likely to have truncal mutations in chromatin modifier genes and intercellular heterogeneity for MYC amplification that was associated with entosis. In most patients the basal phenotype coexisted with a glandular component, and phylogenetic studies indicated that it arose from a subclonal population in the tumor. These data provide a unifying paradigm for understanding the interrelationship of basal-type features, squamous histology, and somatic mutations in chromatin modifier genes in the context of the clonal evolution of pancreatic cancer.

Gut ◽  
2021 ◽  
pp. gutjnl-2020-321397
Author(s):  
Bernhard Kloesch ◽  
Vivien Ionasz ◽  
Sumit Paliwal ◽  
Natascha Hruschka ◽  
Jaime Martinez de Villarreal ◽  
...  

ObjectiveMolecular taxonomy of tumours is the foundation of personalised medicine and is becoming of paramount importance for therapeutic purposes. Four transcriptomics-based classification systems of pancreatic ductal adenocarcinoma (PDAC) exist, which consistently identified a subtype of highly aggressive PDACs with basal-like features, including ΔNp63 expression and loss of the epithelial master regulator GATA6. We investigated the precise molecular events driving PDAC progression and the emergence of the basal programme.DesignWe combined the analysis of patient-derived transcriptomics datasets and tissue samples with mechanistic experiments using a novel dual-recombinase mouse model for Gata6 deletion at late stages of KRasG12D-driven pancreatic tumorigenesis (Gata6LateKO).ResultsThis comprehensive human-to-mouse approach showed that GATA6 loss is necessary, but not sufficient, for the expression of ΔNp63 and the basal programme in patients and in mice. The concomitant loss of HNF1A and HNF4A, likely through epigenetic silencing, is required for the full phenotype switch. Moreover, Gata6 deletion in mice dramatically increased the metastatic rate, with a propensity for lung metastases. Through RNA-Seq analysis of primary cells isolated from mouse tumours, we show that Gata6 inhibits tumour cell plasticity and immune evasion, consistent with patient-derived data, suggesting that GATA6 works as a barrier for acquiring the fully developed basal and metastatic phenotype.ConclusionsOur work provides both a mechanistic molecular link between the basal phenotype and metastasis and a valuable preclinical tool to investigate the most aggressive subtype of PDAC. These data, therefore, are important for understanding the pathobiological features underlying the heterogeneity of pancreatic cancer in both mice and human.


Cancers ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1052
Author(s):  
Iranzu González-Boja ◽  
Antonio Viúdez ◽  
Saioa Goñi ◽  
Enrique Santamaria ◽  
Estefania Carrasco-García ◽  
...  

Pancreatic ductal adenocarcinoma, which represents 80% of pancreatic cancers, is mainly diagnosed when treatment with curative intent is not possible. Consequently, the overall five-year survival rate is extremely dismal—around 5% to 7%. In addition, pancreatic cancer is expected to become the second leading cause of cancer-related death by 2030. Therefore, advances in screening, prevention and treatment are urgently needed. Fortunately, a wide range of approaches could help shed light in this area. Beyond the use of cytological or histological samples focusing in diagnosis, a plethora of new approaches are currently being used for a deeper characterization of pancreatic ductal adenocarcinoma, including genetic, epigenetic, and/or proteo-transcriptomic techniques. Accordingly, the development of new analytical technologies using body fluids (blood, bile, urine, etc.) to analyze tumor derived molecules has become a priority in pancreatic ductal adenocarcinoma due to the hard accessibility to tumor samples. These types of technologies will lead us to improve the outcome of pancreatic ductal adenocarcinoma patients.


2011 ◽  
Vol 29 (4_suppl) ◽  
pp. 153-153 ◽  
Author(s):  
N. A. Schultz ◽  
J. Werner ◽  
H. Willenbrock ◽  
A. Roslind ◽  
T. Horn ◽  
...  

153 Background: The aim was: 1) to define the global microRNA (miRNA) expression pattern in pancreatic cancer (PC) and compare it with normal pancreas (NP) and chronic pancreatitis (CP); 2) to validate reported diagnostic miR profiles in PC; 3) to discover new diagnostic miRs in pancreas samples without micro-dissection of cancer cells. Methods: MiR expression patterns in FFPE tissue blocks from patients operated for pancreatic ductal adenocarcinoma (PDAC, n=170) and ampullary adenocarcinomas (A-AC, n=107) were determined using TaqMan Human miR microarrray (Applied Biosystem; 754 miRs were determined) and compared to profiles of CP (n=23) and NP (n=28). Raw Ct-values were normalized using quantile-normalisation. Results: 83miRs were differentially expressed in PDAC and NP (42 higher expression; 41 reduced expression in PDAC). 32 miRs were differentially expressed in PDAC and CP. The most differentially expressed miRs were miR-614, miR-492, miR-622, miR-135b* and miR-196. The miR signatures of PDAC and A-AC were highly correlated (0.99; only 5 miRs were significantly differentially expressed). An earlier reported diagnostic miR profile for PDAC was validated (mirR196b - miR217), and 3 other significant profiles were identified (Table). A more complex Lasso classifier using 19 miRs could separate PDAC from NP and CP (accuracy = 98%). Conclusions: We identified systematic differences in patterns of miR expressions between tumor tissue including both cancer cells and surrounding desmoplasia obtained from patients with PDAC and A-AC compared to tissue from patients with CP and NP. We validated the diagnostic miR expression profile (miR-196b, miR-217) described by Szafranska et al. (Clin Chem 2008;54:1716-24). Furthermore, we identified 5 miRs which were better to discriminate PDAC and A-AC from CP and NP. Prospective studies are needed to evaluate if this panel of miRs is useful for early diagnosis of patients with PDAC. [Table: see text] No significant financial relationships to disclose.


2021 ◽  
Vol 12 (11) ◽  
Author(s):  
Chao-Hui Chang ◽  
Siim Pauklin

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.


2018 ◽  
Author(s):  
Francois Collin ◽  
Yuhong Ning ◽  
Tierney Phillips ◽  
Erin McCarthy ◽  
Aaron Scott ◽  
...  

AbstractPancreatic cancers are typically diagnosed at late stage where disease prognosis is poor as exemplified by a 5-year survival rate of 8.2%. Earlier diagnosis would be beneficial by enabling surgical resection or earlier application of therapeutic regimens. We investigated the detection of pancreatic ductal adenocarcinoma (PDAC) in a non-invasive manner by interrogating changes in 5-hydroxymethylation cytosine status (5hmC) of circulating cell free DNA in the plasma of a PDAC cohort (n=51) in comparison with a non-cancer cohort (n=41). We found that 5hmC sites are enriched in a disease and stage specific manner in exons, 3’UTRs and transcription termination sites. Our data show that 5hmC density is reduced in promoters and histone H3K4me3-associated sites with progressive disease suggesting increased transcriptional activity. 5hmC density is differentially represented in thousands of genes, and a stringently filtered set of the most significant genes points to biology related to pancreas (GATA4, GATA6, PROX1, ONECUT1) and/or cancer development (YAP1, TEAD1, PROX1, ONECUT1, ONECUT2, IGF1 and IGF2). Regularized regression models were built using 5hmC densities in statistically filtered genes or a comprehensive set of highly variable 5hmC counts in genes and performed with an AUC = 0.94-0.96 on training data. We were able to test the ability to classify PDAC and non-cancer samples with the Elastic net and Lasso models on two external pancreatic cancer 5hmC data sets and found validation performance to be AUC = 0.74-0.97. The findings suggest that 5hmC changes enable classification of PDAC patients with high fidelity and are worthy of further investigation on larger cohorts of patient samples.


2020 ◽  
Author(s):  
Huatian Luo ◽  
Da-qiu Chen ◽  
Jing-jing Pan ◽  
Zhang-wei Wu ◽  
Can Yang ◽  
...  

Abstract Background: Pancreatic cancer has many pathologic types, among which pancreatic ductal adenocarcinoma (PDAC) is the most common one. Bioinformatics has become a very common tool for the selection of potentially pathogenic genes. Methods: Three data sets containing the gene expression profiles of PDAC were downloaded from the gene expression omnibus (GEO) database. The limma package of R language was utilized to explore the differentially expressed genes (DEGs). To analyze functions and signaling pathways, the Database Visualization and Integrated Discovery (DAVID) was used. To visualize the protein-protein interaction (PPI) of the DEGs ,Cytoscape was performed under the utilization of Search Tool for the Retrieval of Interacting Genes (STRING). With the usage of the plug-in cytoHubba in cytoscape software, the hub genes were found out. To verify the expression levels of hub genes, Gene Expression Profiling Interactive Analysis (GEPIA) was performed. Last but not least, UALCAN analysis online tool was implemented to analyze the overall survival. Results: The 376 DEGs were highly enriched in biological processes including signal transduction, apoptotic process and several pathways, mainly associated with Protein digestion and absorption and Pancreatic secretion pathway. The expression levels of nucleolar and spindle associated protein 1 (NUSAP1) and SHC binding and spindle associated 1 (SHCBP1) were discovered highly expressed in pancreatic ductal adenocarcinoma tissues. NUSAP1 and SHCBP1 had a high correlation with prognosis. Conclusions: The findings of this bioinformatics analysis indicate that NUSAP1 and SHCBP1 may be key factors in the prognosis and treatment of pancreatic cancer.


2016 ◽  
Vol 8s1 ◽  
pp. BIC.S34414 ◽  
Author(s):  
Fataneh Karandish ◽  
Sanku Mallik

Pancreatic ductal adenocarcinoma (PDAC) constitutes 90% of pancreatic cancers. PDAC is a complex and devastating disease with only 1%–3% survival rate in five years after the second stage. Treatment of PDAC is complicated due to the tumor microenvironment, changing cell behaviors to the mesenchymal type, altered drug delivery, and drug resistance. Considering that pancreatic cancer shows early invasion and metastasis, critical research is needed to explore different aspects of the disease, such as elaboration of biomarkers, specific signaling pathways, and gene aberration. In this review, we highlight the biomarkers, the fundamental signaling pathways, and their importance in targeted drug delivery for pancreatic cancers.


2021 ◽  
Author(s):  
Hae Hyun Hwang ◽  
Hee Jeong Jeong ◽  
Sangwoo Yoon ◽  
Youngro Byun ◽  
Teruo Okano ◽  
...  

Abstract Pancreatic cancers are classified based on where they occur into those derived from exocrine glands and endocrine glands, thereby showing different anti-cancer effect with medication. Therefore, it is necessary to develop anti-cancer drugs that can inhibit both of these types. To this end, we developed a heparin-taurocholate conjugate, i.e., LHT, to suppress tumor growth via its anti-angiogenic activity. Here we conducted a study to determine the anti-cancer efficacy of LHT on various types of pancreatic cancer, i.e., human pancreatic ductal adenocarcinoma (PDAC) and human pancreatic neuroendocrine tumor (PNET), at orthotopic animal model. LHT reduced not only proliferation of all three cancer cells, but also attenuated the production of VEGF through ERK dephosphorylation. Especially, these effects of LHT were much stronger to PNET (RINm cells). Also, LHT effectively reduced the migration, invasion and tube formation of endothelial cells via dephosphorylation of VEGFR, ERK1/2, and FAK protein. Eventually LHT reduced strongly ~ 50% tumor weights and tumor volumes of all three cancer cells at orthotopic model via anti-proliferation of cancer cells and anti-angiogenesis of endothelial cells. Interestingly, LHT was highly effective to PNET tumor tissue in vivo. Collectively, these findings demonstrated that LHT could be a potential anti-pancreatic cancer medication, regardless of pancreatic cancer types.


2020 ◽  
Author(s):  
Bernhard Kloesch ◽  
Natascha Hruschka ◽  
Vivien Ionasz ◽  
Rupert Oellinger ◽  
Sebastian Mueller ◽  
...  

AbstractObjectiveMolecular taxonomy of tumors is the foundation of personalized medicine and is becoming of paramount importance for therapeutic purposes. Four transcriptomics-based classification systems of pancreatic ductal adenocarcinoma (PDAC) exist, which consistently identified a subtype of highly aggressive PDACs with basal-like features, including ΔNp63 expression and loss of the epithelial master regulator GATA6. We investigated the precise molecular events driving PDAC progression and the emergence of the basal program.DesignWe combined the analysis of patient-derived transcriptomics datasets and tissue samples with mechanistic experiments using a novel dual-recombinase mouse model for Gata6 deletion at late stages of KRasG12D-driven pancreatic tumorigenesis (Gata6LateKO).ResultsThis comprehensive human-to-mouse approach allowed us to show that GATA6 loss is necessary, but not sufficient, for the expression of a basal program in patients and in mice. The concomitant loss of HNF1A and HNF4A, likely through epigenetic silencing, is required for the full phenotype switch. Moreover, Gata6 deletion in mice dramatically increased the metastatic rate, with a propensity for lung metastases. Through RNA-Seq analysis of primary cells isolated from mouse tumors, we show that Gata6 inhibits tumor cell plasticity and immune evasion, suggesting that it works as a barrier for acquiring the fully developed basal and metastatic phenotype.ConclusionsOur work provides both a mechanistic molecular link between the basal phenotype and metastasis and a valuable preclinical tool to investigate the most aggressive subtype of PDAC. These data, therefore, are important for understanding the pathobiological features underlying the heterogeneity of pancreatic cancer in both mice and human.What is already known about this subject?Multiple transcriptomics-based studies have identified a basal-like subtype of pancreatic ductal adenocarcinoma (PDAC) with especially poor prognosis.Loss of GATA6 in PDAC cells is associated with altered differentiation, including ectopic expression of basal markers such as KRT14.Aberrant expression of the ΔNp63 transcription factor can drive the expression of the basal transcriptional program.What are the new findings?Loss of GATA6 expression is necessary but not sufficient for the expression of ΔNp63 and the basal phenotype.Concomitant silencing of HNF4A and HNF1A, possibly through epigenetic mechanisms, is required for the full-blown phenotype.Gata6 deletion in established murine tumors favors the basal and metastatic phenotype, with a lung tropism, in a next-generation model of KRasG12D-driven PDAC.Loss of GATA6 expression is associated with features of immune escape in mouse and human PDAC cells.How might it impact on clinical practice in the foreseeable future?The combined analysis of GATA6, HNFs, and TP63 expression in patient-derived samples will provide a more precise classification of PDAC.Restoration of the classical PDAC phenotype may not only reduce metastatic potential but also increase immune recognition of tumor cells.


2020 ◽  
Vol 7 (1) ◽  
pp. e000408
Author(s):  
Muhammad Nadeem Yousaf ◽  
Fizah S Chaudhary ◽  
Amrat Ehsan ◽  
Alejandro L Suarez ◽  
Thiruvengadam Muniraj ◽  
...  

Pancreatic cancer is one of the leading causes of cancer-related mortality in western countries. Early diagnosis of pancreatic cancers plays a key role in the management by identification of patients who are surgical candidates. The advancement in the radiological imaging and interventional endoscopy (including endoscopic ultrasound (EUS), endoscopic retrograde cholangiopancreatography and endoscopic enteral stenting techniques) has a significant impact in the diagnostic evaluation, staging and treatment of pancreatic cancer. The multidisciplinary involvement of radiology, gastroenterology, medical oncology and surgical oncology is central to the management of patients with pancreatic cancers. This review aims to highlight the diagnostic and therapeutic role of EUS in the management of patients with pancreatic malignancy, especially pancreatic ductal adenocarcinoma.


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