scholarly journals Comprehensive Analysis of the Transcriptional Expressions and Prognostic Value of S100A Family in Pancreatic Ductal Adenocarcinoma

2021 ◽  
Author(s):  
Hong-Bin Li ◽  
Jian-Li Wang ◽  
Xiao-Dong Jin ◽  
Lei Zhao ◽  
Hui-Li Ye ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Prognostic Value ◽  
Pancreatic Cancer Cell ◽  
Expression Patterns ◽  
Ductal Adenocarcinoma ◽  
Tissue Samples ◽  
Cancer Types ◽  
Cancer Tissues ◽  
Refractory Malignancy

Abstract Background Pancreatic ductal adenocarcinoma (PDAC) remains a treatment-refractory malignancy with poor prognosis. It is urgent to identify novel and valid biomarkers to predict the progress and prognosis of PDAC. The S100A family have been identified as being involved in cell proliferation, migration and differentiation progression of various cancer types. However, the expression patterns and prognostic values of S100As in PDAC remain to be analyzed. Methods We investigated the transcriptional expressions, methylation level and prognostic value of S100As in PDAC patients from the Oncomine, GEPIA2, Linkedomics, and cBioPortal databases. Real-time PCR was used to detect the expressions of S100A2/4/6/10/14/16 in four pancreatic cancer cell lines and pancreatic cancer tissues from PDAC patients undergoing surgery. To verify the results further, immunohistochemistry was used to measure the expression of S100A2/4/6/10/14/16 in 43 PDAC patients’ tissue samples. The drug relations of S100As were also analyzed by using Drugbank. Results The results suggested that, the expression levels of S100A2/4/6/10/14/16 were elevated to PDAC tissues than in normal pancreatic tissues, and the promoter methylation levels of S100A S100A2/4/6/10/14/16 in PDAC (n = 10) were lower compared with normal tissue (n = 184) (P < 0.05). In addition, their expressions were negatively correlated with PDAC patient survival. Conclusions Taken together, these results suggest that S100A2/4/6/10/14/16 might be served as prognostic biomarkers for survivals of PDAC patients.

scholarly journals Comprehensive analysis of the transcriptional expressions and prognostic value of S100A family in pancreatic ductal adenocarcinoma

2021 ◽  
Author(s):  
Hongbin Li ◽  
Jianli Wang ◽  
Xiaodong Jin ◽  
Lei Zhao ◽  
Huili Ye ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Prognostic Value ◽  
Pancreatic Cancer Cell ◽  
Expression Patterns ◽  
Ductal Adenocarcinoma ◽  
Tissue Samples ◽  
Cancer Types ◽  
Cancer Tissues ◽  
Refractory Malignancy

Abstract Background Pancreatic ductal adenocarcinoma (PDAC) remains a treatment-refractory malignancy with poor prognosis. It is urgent to identify novel and valid biomarkers to predict the progress and prognosis of PDAC. The S100A family have been identified as being involved in cell proliferation, migration and differentiation progression of various cancer types. However, the expression patterns and prognostic values of S100As in PDAC remain to be analyzed. Methods We investigated the transcriptional expressions, methylation level and prognostic value of S100As in PDAC patients from the Oncomine, GEPIA2, Linkedomics, and cBioPortal databases. Real-time PCR was used to detect the expressions of S100A2/4/6/10/14/16 in four pancreatic cancer cell lines and pancreatic cancer tissues from PDAC patients undergoing surgery. To verify the results further, immunohistochemistry was used to measure the expression of S100A2/4/6/10/14/16 in 43 PDAC patients’ tissue samples. The drug relations of S100As were also analyzed by using Drugbank. Results The results suggested that, the expression levels of S100A2/4/6/10/14/16 were elevated to PDAC tissues than in normal pancreatic tissues, and the promoter methylation levels of S100A S100A2/4/6/10/14/16 in PDAC (n = 10) were lower compared with normal tissue (n = 184) (P < 0.05). In addition, their expressions were negatively correlated with PDAC patient survival. Conclusions Taken together, these results suggest that S100A2/4/6/10/14/16 might be served as prognostic biomarkers for survivals of PDAC patients.

scholarly journals Comprehensive analysis of the transcriptional expressions and prognostic value of S100A family in pancreatic ductal adenocarcinoma

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hong-Bin Li ◽  
Jian-Li Wang ◽  
Xiao-Dong Jin ◽  
Lei Zhao ◽  
Hui-Li Ye ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Prognostic Value ◽  
Expression Patterns ◽  
Ductal Adenocarcinoma ◽  
Tissue Samples ◽  
Cancer Types ◽  
Cancer Tissues ◽  
Drugbank Database ◽  
Refractory Malignancy

Abstract Background Pancreatic ductal adenocarcinoma (PDAC) remains a treatment-refractory malignancy with poor prognosis. It is urgent to identify novel and valid biomarkers to predict the progress and prognosis of PDAC. The S100A family have been identified as being involved in cell proliferation, migration and differentiation progression of various cancer types. However, the expression patterns and prognostic values of S100As in PDAC remain to be analyzed. Methods We investigated the transcriptional expressions, methylation level and prognostic value of S100As in PDAC patients from the Oncomine, GEPIA2, Linkedomics and cBioPortal databases. Real-time PCR was used to detect the expressions of S100A2/4/6/10/14/16 in four pancreatic cancer cell lines and pancreatic cancer tissues from PDAC patients undergoing surgery. To verify the results further, immunohistochemistry was used to measure the expression of S100A2/4/6/10/14/16 in 43 PDAC patients’ tissue samples. The drug relations of S100As were analyzed by using the Drugbank database. Results The results suggested that, the expression levels of S100A2/4/6/10/14/16 were elevated to PDAC tissues than in normal pancreatic tissues, and the promoter methylation levels of S100A S100A2/4/6/10/14/16 in PDAC (n = 10) were lower compared with normal tissue (n = 184) (P < 0.05). In addition, their expressions were negatively correlated with PDAC patient survival. Conclusions Taken together, these results suggest that S100A2/4/6/10/14/16 might be served as prognostic biomarkers for survivals of PDAC patients.

scholarly journals Transcriptional regulation of SLIT2 expression in pancreatic cancer cell lines

2020 ◽  
Author(s):  
Brenna A. Rheinheimer ◽  
Lukas Vrba ◽  
Bernard W Futscher ◽  
Ronald L Heimark
Keyword(s):  
Pancreatic Cancer ◽  
Transcriptional Regulation ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Cell Lines ◽  
Cancer Cell ◽  
Pancreatic Cancer Cell ◽  
Trichostatin A ◽  
Cancer Cell Lines ◽  
Ductal Adenocarcinoma ◽  
Liver Cancers

AbstractBackgroundSLIT2 has been shown to serve as a tumor suppressor in breast, lung, colon, and liver cancers. Additionally, expression of SLIT2 has been shown to be epigenetically regulated in prostate cancer. Therefore, we sought to determine transcriptional regulation of SLIT2 in pancreatic ductal adenocarcinoma.MethodsRNA expression of SLIT2, SLIT3, and ROBO1 was examined in a panel of pancreatic ductal adenocarcinoma cell lines while protein expression of ROBO1 and SLIT2 was examined in tumor tissue. Methylation of the SLIT2 promoter was determined using Sequenom while histone modifications were queried by chromatin immunoprecipitation. Reexpression of SLIT2 was tested by treatment with 5-aza-2’deoxycytidine and Trichostatin A.ResultsPancreatic cancer cell lines fall into three distinct groups based on SLIT2 and ROBO1 expression. The SLIT2 promoter is methylated in pancreatic ductal adenocarcinoma and SLIT2 expression is dependent on the level of methylation at specific CpG sites. Treatment with 5-aza-2’deoxycytidine (but not Trichostatin A) led to SLIT2 reexpression. The SLIT2 promoter is bivalent in pancreatic ductal adenocarcinoma and histone marks around the transcriptional start site are responsible for transcription.ConclusionsLoss of SLIT2 expression modulated by epigenetic silencing may play a role in pancreatic ductal adenocarcinoma progression.

scholarly journals GATA4 Regulates Inflammation-Driven Pancreatic Ductal Adenocarcinoma Progression

2021 ◽  
Vol 9 ◽  
Author(s):  
Weiliang Jiang ◽  
Congying Chen ◽  
Li Huang ◽  
Jie Shen ◽  
Lijuan Yang
Keyword(s):  
Pancreatic Cancer ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Cancer Cell ◽  
Cell Invasion ◽  
Pancreatic Cancer Cell ◽  
Differential Expression Analysis ◽  
Ductal Adenocarcinoma ◽  
Cancer Cell Invasion ◽  
Dibutyltin Dichloride ◽  
Inflammatory Stimuli

Cancer-associated inflammation is a key molecular feature in the progression of pancreatic ductal adenocarcinoma (PDAC). GATA4 is a transcription factor that participates in the regulation and normal development of several endoderm- and mesoderm-derived tissues such as the pancreas. However, it remains unclear whether GATA4 is involved in the inflammation-driven development of pancreatic cancer. Here, we employed quantitative reverse transcription PCR, immunohistochemistry, and differential expression analysis to investigate the association between GATA4 and inflammation-driven PDAC. We found that overexpression of GATA4 in pancreatic tumor tissue was accompanied by increased levels of inflammatory macrophages. We used macrophage-conditioned medium to validate inflammation models following treatment with varying concentrations of lipopolysaccharide and determined whether GATA4-dependent inflammatory stimuli affected pancreatic cancer cell invasion and growth in vitro. Nude mouse models of dibutyltin dichloride-induced chronic pancreatitis with orthotopic tumor xenografts were used to evaluate the effect of the inflammatory microenvironment on GATA4 expression in vivo. Our findings indicate that overexpression of GATA4 dramatically aggravated inflammatory stimuli-induced pancreatic cancer cell invasion and growth via NF-κB and STAT3 signaling, whereas silencing of GATA4 attenuated invasion and growth. Overall, our findings suggest that inflammation-driven cancer progression is dependent on GATA4 expression and is mediated through the STAT3 and NF-κB signaling pathways.

scholarly journals Effect of Adenomatous Polyposis Coli Loss on Tumorigenic Potential in Pancreatic Ductal Adenocarcinoma

Cells ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1084 ◽  
Author(s):  
Jennifer M. Cole ◽  
Kaitlyn Simmons ◽  
Jenifer R. Prosperi
Keyword(s):  
Pancreatic Cancer ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Cell Lines ◽  
Pancreatic Cancer Cell ◽  
Ductal Adenocarcinoma ◽  
Adenomatous Polyposis ◽  
Polyposis Coli ◽  
Pathway Activation ◽  
Functional Implications

Loss of the Adenomatous Polyposis Coli (APC) tumor suppressor in colorectal cancer elicits rapid signaling through the Wnt/β-catenin signaling pathway. In contrast to this well-established role of APC, recent studies from our laboratory demonstrated that APC functions through Wnt-independent pathways to mediate in vitro and in vivo models of breast tumorigenesis. Pancreatic ductal adenocarcinoma (PDAC) has an overall median survival of less than one year with a 5-year survival rate of 7.2%. APC is lost in a subset of pancreatic cancers, but the impact on Wnt signaling or tumor development is unclear. Given the lack of effective treatment strategies for pancreatic cancer, it is important to understand the functional implications of APC loss in pancreatic cancer cell lines. Therefore, the goal of this project is to study how APC loss affects Wnt pathway activation and in vitro tumor phenotypes. Using lentiviral shRNA, we successfully knocked down APC expression in six pancreatic cancer cell lines (AsPC-1, BxPC3, L3.6pl, HPAF-II, Hs 766T, MIA PaCa-2). No changes were observed in localization of β-catenin or reporter assays to assess β-catenin/TCF interaction. Despite this lack of Wnt/β-catenin pathway activation, the majority of APC knockdown cell lines exhibit an increase in cell proliferation. Cell migration assays showed that the BxPC-3 and L3.6pl cells were impacted by APC knockdown, showing faster wound healing in scratch wound assays. Interestingly, APC knockdown had no effect on gemcitabine treatment, which is the standard care for pancreatic cancer. It is important to understand the functional implications of APC loss in pancreatic cancer cells lines, which could be used as a target for therapeutics.

scholarly journals ITGA2, LAMB3, and LAMC2 may be the potential therapeutic targets in pancreatic ductal adenocarcinoma: an integrated bioinformatics analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shajedul Islam ◽  
Takao Kitagawa ◽  
Byron Baron ◽  
Yoshihiro Abiko ◽  
Itsuo Chiba ◽  
...  
Keyword(s):  
Gene Expression ◽  
Pancreatic Cancer ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Bioinformatics Analysis ◽  
Therapeutic Targets ◽  
Ductal Adenocarcinoma ◽  
Integrin Subunit ◽  
Hub Genes ◽  
Cancerous Tissue ◽  
Tissue Samples

AbstractPancreatic ductal adenocarcinoma (PDAC) is the most common form of pancreatic cancer with an abysmal prognosis rate over the last few decades. Early diagnosis and prevention could effectively combat this malignancy. Therefore, it is crucial to discover potential biomarkers to identify asymptomatic premalignant or early malignant tumors of PDAC. Gene expression analysis is a powerful technique to identify candidate biomarkers involved in disease progression. In the present study, five independent gene expression datasets, including 321 PDAC tissues and 208 adjacent non-cancerous tissue samples, were subjected to statistical and bioinformatics analysis. A total of 20 differentially expressed genes (DEGs) were identified in PDAC tissues compared to non-cancerous tissue samples. Gene ontology and pathway enrichment analysis showed that DEGs were mainly enriched in extracellular matrix (ECM), cell adhesion, ECM–receptor interaction, and focal adhesion signaling. The protein–protein interaction network was constructed, and the hub genes were evaluated. Collagen type XII alpha 1 chain (COL12A1), fibronectin 1 (FN1), integrin subunit alpha 2 (ITGA2), laminin subunit beta 3 (LAMB3), laminin subunit gamma 2 (LAMC2), thrombospondin 2 (THBS2), and versican (VCAN) were identified as hub genes. The correlation analysis revealed that identified hub genes were significantly interconnected. Wherein COL12A1, FN1, ITGA2, LAMB3, LAMC2, and THBS2 were significantly associated with PDAC pathological stages. The Kaplan–Meier survival plots revealed that ITGA2, LAMB3, and LAMC2 expression were inversely correlated with a prolonged patient survival period. Furthermore, the Human Protein Atlas database was used to validate the expression and cellular origins of hub genes encoded proteins. The protein expression of hub genes was higher in pancreatic cancer tissue than in normal pancreatic tissue samples, wherein ITGA2, LAMB3, and LAMC2 were exclusively expressed in pancreatic cancer cells. Pancreatic cancer cell-specific expression of these three proteins may play pleiotropic roles in cancer progression. Our results collectively suggest that ITGA2, LAMB3, and LAMC2 could provide deep insights into pancreatic carcinogenesis molecular mechanisms and provide attractive therapeutic targets.

scholarly journals Inhibition of Sphingosine-1-Phosphate signaling in pancreatic ductal adenocarcinoma leads to downregulation of growth and invasion

2020 ◽  
Author(s):  
Brenna A. Rheinheimer ◽  
Alex Cardenas ◽  
Luis Camacho ◽  
Evan S. Ong ◽  
Tun Jie ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Cell Growth ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Cell Lines ◽  
Cancer Cell ◽  
Pancreatic Cancer Cell ◽  
Leading Edge ◽  
Cancer Cell Lines ◽  
Ductal Adenocarcinoma ◽  
Sphingosine 1 Phosphate

AbstractBackgroundDeregulated phosphorylation of sphingosine by the sphingosine kinases and signaling through the EDG family of receptors enhances growth and survival in many cell types. Therefore, we sought to elucidate the effect of alterations in the ceramide/sphingosine/S1P rheostat on driving human pancreatic ductal adenocarcinoma towards a malignant phenotype.MethodsPancreatic cancer cell lines were treated with exogenous S1P, FTY720, and siRNA to Sphk1. Migration was evaluated by wound healing assays, cell growth by MTT assays, and invasion by tumorsphere assays. Expression of S1PR1, S1PR3, Sphk1, and Sphk2 were measured by quantitative PCR, western blot, and immunohistochemistry.ResultsS1PR1, S1PR3, and Sphk2 were overexpressed in all pancreatic cancer cell lines. Sphk1 translocated from the cytoplasm to the nucleus in cells located at the leading edge of cell clusters. Exogenous S1P increased cell migration while treatment with FTY720 and Sphk1 siRNA decreased cell growth and invasion.ConclusionsOur results suggest that increased S1PR1 expression may be an early event in pancreatic cancer pathogenesis. Additionally, altered Sphk1 localization may provide a mechanism through which pancreatic ductal adenocarcinoma cells at the leading edge invade into the surrounding matrix. Finally, inhibition of sphingosine-1-phosphate signaling may provide a novel therapeutic target for patients with metastatic disease.

scholarly journals An Integrated Meta-Analysis of Secretome and Proteome Identify Potential Biomarkers of Pancreatic Ductal Adenocarcinoma

Cancers ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 716
Author(s):  
Grasieli de Oliveira ◽  
Paula Paccielli Freire ◽  
Sarah Santiloni Cury ◽  
Diogo de Moraes ◽  
Jakeline Santos Oliveira ◽  
...  
Keyword(s):  
Gene Expression ◽  
Pancreatic Cancer ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Prognostic Value ◽  
Meta Analysis ◽  
The Cancer Genome Atlas ◽  
Secreted Proteins ◽  
Ductal Adenocarcinoma ◽  
Public Data ◽  
Potential Biomarkers

Pancreatic ductal adenocarcinoma (PDAC) is extremely aggressive, has an unfavorable prognosis, and there are no biomarkers for early detection of the disease or identification of individuals at high risk for morbidity or mortality. The cellular and molecular complexity of PDAC leads to inconsistences in clinical validations of many proteins that have been evaluated as prognostic biomarkers of the disease. The tumor secretome, a potential source of biomarkers in PDAC, plays a crucial role in cell proliferation and metastasis, as well as in resistance to treatments, which together contribute to a worse clinical outcome. The massive amount of proteomic data from pancreatic cancer that has been generated from previous studies can be integrated and explored to uncover secreted proteins relevant to the diagnosis and prognosis of the disease. The present study aimed to perform an integrated meta-analysis of PDAC proteome and secretome public data to identify potential biomarkers of the disease. Our meta-analysis combined mass spectrometry data obtained from two systematic reviews of the pancreatic cancer literature, which independently selected 20 studies of the secretome and 35 of the proteome. Next, we predicted the secreted proteins using seven in silico tools or databases, which identified 39 secreted proteins shared between the secretome and proteome data. Notably, the expression of 31 genes of these secretome-related proteins was upregulated in PDAC samples from The Cancer Genome Atlas (TCGA) when compared to control samples from TCGA and The Genotype-Tissue Expression (GTEx). The prognostic value of these 39 secreted proteins in predicting survival outcome was confirmed using gene expression data from four PDAC datasets (validation set). The gene expression of these secreted proteins was able to distinguish high- and low-survival patients in nine additional tumor types from TCGA, demonstrating that deregulation of these secreted proteins may also contribute to the prognosis in multiple cancers types. Finally, we compared the prognostic value of the identified secreted proteins in PDAC biomarkers studies from the literature. This analysis revealed that our gene signature performed equally well or better than the signatures from these previous studies. In conclusion, our integrated meta-analysis of PDAC proteome and secretome identified 39 secreted proteins as potential biomarkers, and the tumor gene expression profile of these proteins in patients with PDAC is associated with worse overall survival.

scholarly journals ITGA2, LAMB3, and LAMC2 May Be the Potential Therapeutic Targets in Pancreatic Ductal Adenocarcinoma: an Integrated Bioinformatics Analysis

2021 ◽  
Author(s):  
Shajedul Islam ◽  
Takao Kitagawa ◽  
Byron Baron ◽  
Yoshihiro Abiko ◽  
Itsuo Chiba ◽  
...  
Keyword(s):  
Gene Expression ◽  
Pancreatic Cancer ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Bioinformatics Analysis ◽  
Therapeutic Targets ◽  
Ductal Adenocarcinoma ◽  
Integrin Subunit ◽  
Hub Genes ◽  
Cancerous Tissue ◽  
Tissue Samples

Abstract Pancreatic ductal adenocarcinoma (PDAC) is the most common form of pancreatic cancer with an abysmal prognosis rate over the last few decades. Early diagnosis and prevention could effectively combat this malignancy. Therefore, it is crucial to discover potential biomarkers to identify asymptomatic premalignant or early malignant tumors of PDAC. Gene expression analysis is a powerful technique to identify candidate biomarkers involved in disease progression. In the present study, five independent gene expression datasets, including 321 PDAC tissues and 208 adjacent non-cancerous tissue samples, were subjected to statistical and bioinformatics analysis. A total of 20 differentially expressed genes (DEGs) were identified in PDAC tissues compared to non-cancerous tissue samples. Gene ontology and pathway enrichment analysis showed that DEGs were mainly enriched in extracellular matrix (ECM), cell adhesion, ECM-receptor interaction, and focal adhesion signaling. The protein protein interaction network was constructed, and the hub genes were evaluated. Collagen type XII alpha 1 chain (COL12A1), fibronectin 1 (FN1), integrin subunit alpha 2 (ITGA2), laminin subunit beta 3 (LAMB3), laminin subunit gamma 2 (LAMC2), thrombospondin 2 (THBS2), and versican (VCAN) were identified as hub genes. The correlation analysis revealed that identified hub genes were significantly interconnected. Wherein COL12A1, FN1, ITGA2, LAMB3, LAMC2, and THBS2 were significantly associated with PDAC pathological stages. The Kaplan-Meier survival plots revealed that ITGA2, LAMB3, and LAMC2 expression were inversely correlated with a prolonged patient survival period. Furthermore, the Human Protein Atlas database was used to validate the expression and cellular origins of hub genes encoded proteins. The protein expression of hub genes was higher in pancreatic cancer tissue than in normal pancreatic tissue samples, wherein ITGA2, LAMB3, and LAMC2 were exclusively expressed in pancreatic cancer cells. Pancreatic cancer cell-specific expression of these three proteins may play pleiotropic roles in cancer progression. Our results collectively suggest that ITGA2, LAMB3, and LAMC2 could provide deep insights into pancreatic carcinogenesis molecular mechanisms and provide attractive therapeutic targets.

DNAJA1 dysregulates metabolism promoting an anti-apoptotic phenotype in pancreatic ductal adenocarcinoma

2020 ◽  
Author(s):  
Heidi Roth ◽  
Fatema Bhinderwala ◽  
Rodrigo Franco ◽  
You Zhou ◽  
Robert Powers
Keyword(s):  
Pancreatic Cancer ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Cancer Cells ◽  
Cell Lines ◽  
Cancer Cell ◽  
Pancreatic Cancer Cell ◽  
Cancer Cell Lines ◽  
Ductal Adenocarcinoma ◽  
Pancreatic Cancer Cells ◽  
The Impact

Abstract BackgroundAt less than 7%, pancreatic ductal adenocarcinoma (PDAC) has one of the poorest 5-year cancer survival rates and is set to be the leading cause of cancer related deaths by 2030. The co-chaperone protein DNAJA1 (HSP40) is downregulated four-fold in pancreatic cancer cells, but its impact on pancreatic ductal adenocarcinoma (PDAC) progression remains unclear.MethodsDNAJA1 was overexpressed in pancreatic cancer cell lines, BxPC-3 and MIA PaCa-2, through retroviral transfection. The impact of overexpressing DNAJA1 was investigated using a combination of untargeted metabolomics, stable isotope resolved metabolomics (SIRM), confocal microscopy, flow-cytometry, and cell-based assays.ResultsPancreatic cancer cells overexpressing DNAJA1 exhibited a global metabolomic change. Specifically, differential output from Warburg glycolysis, an increase in redox currency, and an alteration in amino acid levels were observed in both overexpression cell lines. DNAJA1 overexpression also led to mitochondrial fusion, an increase in the expression of Bcl-2, a modest protection from redox induced cell death, a loss of structural integrity due to the loss of actin fibers, and an increase in cell invasiveness in BxPC-3. These differences were more pronounced in BxPC-3, which contains a loss-of-function mutation in the tumor suppressing gene SMAD4.ConclusionsThe overexpression of DNAJA1 promoted cellular proliferation, redox tolerance, invasiveness, and anti-apoptosis, which suggests DNAJA1 has numerous regulatory roles. Overall, our findings suggest a proto-oncogenic role of DNAJA1 in PDAC progression and suggests DNAJA1 may function synergistically with other proteins with altered activity in pancreatic cancer cell lines.

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