Poor Prognosis In Pancreatic Cancer Research Articles

Radiopharmaceuticals for Pancreatic Cancer: A Review of Current Approaches and Future Directions

The poor prognosis of pancreatic cancer requires novel treatment options. This review examines the evolution of radiopharmaceuticals in the treatment of pancreatic cancer. Established strategies such as peptide receptor radionuclide therapy (PRRT) offer targeted and effective treatment, compared to conventional treatments. However, there are currently no radiopharmaceuticals approved for the treatment of pancreatic cancer in Europe, which requires further research and novel approaches. New radiopharmaceuticals including radiolabeled antibodies, peptides, and nanotechnological approaches are promising in addressing the challenges of pancreatic cancer therapy. These new agents may offer more specific targeting and potentially improve efficacy compared to traditional therapies. Further research is needed to optimize efficacy, address limitations, and explore the overall potential of these new strategies in the treatment of this aggressive and harmful pathology.

Long non-coding RNA MIR4435-2HG promotes pancreatic cancer progression by regulating ABHD17C through sponging miR-128-3p.

The recently identified carcinogenic long non-coding RNA (lncRNA) MIR4435-2HG has been validated to contribute to the initiation and progression of several malignancies. Nonetheless, its specific mechanistic function in pancreatic cancer (PC) is yet to be determined. This study aims to investigate the expression and functional role of MIR4435-2HG in PC and to elucidate its potential mechanism. This study employed The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx)-Pancreas datasets for the analysis of MIR4435-2HG expression in PC and normal pancreatic tissues and its relations with prognosis in PC. Moreover, quantitative real-time polymerase chain reaction (qRT-PCR) was employed for analyzing MIR4435-2HG, miR-128-3p, and ABHD17C expressions within cells and tissues. Cell proliferation and apoptosis were detected in vitro through Cell Counting Kit 8 (CCK-8) assay and flow cytometry while utilizing transwell and wound healing assays to assess cell migration and invasion. Predicting miR-128-3p binding sites with MIR4435-2HG or ABHD17C was conducted via the online tool starBase and validated through a dual-luciferase reporter (DLR), RNA pull-down and RNA binding protein immunoprecipitation (RIP) assays. Herein, we deployed Western blot to assess protein expression levels. The in vivo role of MIR4435-2HG was studied using tumor xenografts. MIR4435-2HG overexpression exhibited a correlation with poor prognosis in PC. Knocking down MIR4435-2HG significantly hindered the proliferative, invading, and migrating PC cell abilities, accompanied by apoptosis induction, counteracted via a miR-128-3p inhibitor. Moreover, MIR4435-2HG could directly bind to miR-128-3p. Additionally, miR-128-3p directly targeted ABHD17C. Furthermore, in vitro as well as in vivo experiment results elucidated that knocking down MIR4435-2HG hindered PC progression by suppressing ABHD17C expression via miR-128-3p upregulation. MIR4435-2HG can serve as a dependable target for PC diagnosis and treatment by modulating the miR-128-3p/ABHD17C axis to promote its progression.

Emerging Nanotechnology in Preclinical Pancreatic Cancer Immunotherapy: Driving Towards Clinical Applications.

The high malignant degree and poor prognosis of pancreatic cancer (PC) pose severe challenges to the basic research and clinical translation of next-generation therapies. The rise of immunotherapy has improved the treatment of a variety of solid tumors, while the application in PC is highly restricted by the challenge of immunosuppressive tumor microenvironment. The latest progress of nanotechnology as drug delivery platform and immune adjuvant has improved drug delivery in a variety of disease backgrounds and enhanced tumor therapy based on immunotherapy. Based on the immune loop of PC and the status quo of clinical immunotherapy of tumors, this article discussed and critically analyzed the key transformation difficulties of immunotherapy adaptation to the treatment of PC, and then proposed the rational design strategies of new nanocarriers for drug delivery and immune regulation, especially the design of combined immunotherapy. This review also put forward prospective views on future research directions, so as to provide information for the new means of clinical treatment of PC combined with the next generation of nanotechnology and immunotherapy.

TAGLN2 targeted control of ARPC5-mediated activation of the MEK/ERK signaling pathway influences the proliferation, invasion, and metastasis of pancreatic cancer cells

PurposePcancreatic cancer (PC) is a common tumor of the digestive tract with an insidious onset and high malignancy potential. Currently, surgery is the only effective treatment modality. Therefore, it is crucial to discover new targeted therapeutic modalities. We studied whether transgelin 2 (TAGLN2) targeted control of actin-related protein 2/3 complex subunit 5 (ARPC5)-mediated activation of the MEK/ERK signaling pathway to Influences the proliferation, invasion, and metastasis of pancreatic cancer cells. MethodsThe effects of TAGLN2 overexpression and knockdown on the proliferative viability and invasive metastatic ability of pancreatic cancer cells were verified through in vitro and in vivo assays via constructing a stable lentiviral transfection of human pancreatic cancer cell lines PANC-1 and SW1990. Bioinformatics analysis was used to predict the relationship between TAGLN2 and ARPC5. These findings were subsequently verified through protein profiling, immunofluorescence (IF), and coimmunoprecipitation (CO-IP) assays. In vitro experiments were also conducted to confirm the effect of TAGLN2 modulation on ARPC5 expression, which subsequently affects the proliferation and invasive metastatic ability of pancreatic cancer cells. The study analyzed the relationship between TAGLN2 and the MEK/ERK signaling pathway through bioinformatics and in vitro experiments with the MEK signaling pathway inhibitor U0126. ResultsTAGLN2 is expressed at high levels in pancreatic cancer cell lines, and its expression is positively correlated with poor prognosis of pancreatic cancer. ARPC5 is a direct target of TAGLN2 and is associated with the MEK/ERK signaling pathway. In vivo and ex vivo experiments confirmed that overexpression of TAGLN2 promoted the proliferation, invasion, and metastasis of pancreatic cancer cells, and silencing ARPC5 reversed these effect. ConclusionOur research revealed that TAGLN2 protein binds to ARPC5 protein and contributes to increased ARPC5 expression and activation of the MEK/ERK signaling pathway. This activation promotes pancreatic cancer cell growth, infiltration, and spread. Hence, TAGLN2 is a potential viable therapeutic target in pancreatic cancer and represents a novel therapeutic approach.

SCPMan: Shape context and prior constrained multi-scale attention network for pancreatic segmentation

Due to the poor prognosis of Pancreatic cancer, accurate early detection and segmentation are critical for improving treatment outcomes. However, pancreatic segmentation is challenged by blurred boundaries, high shape variability, and class imbalance. To tackle these problems, we propose a multiscale attention network with shape context and prior constraint for robust pancreas segmentation. Specifically, we proposed a Multi-scale Feature Extraction Module (MFE) and a Mixed-scale Attention Integration Module (MAI) to address unclear pancreas boundaries. Furthermore, a Shape Context Memory (SCM) module is introduced to jointly model semantics across scales and pancreatic shape. Active Shape Model (ASM) is further used to model the shape priors. Experiments on NIH and MSD datasets demonstrate the efficiency of our model, which improves the state-of-the-art Dice Score for 1.01% and 1.03% respectively. Our architecture provides robust segmentation performance, against the blurry boundaries, and variations in scale and shape of pancreas.

Abstract LB190: Cancer-stromal cells interaction dominates the expression of pro-tumor decreted protein chitinase-3-like-1 in pancreatic cancer

Abstract In the context of the tumor microenvironment (TME), a substantial increased secreted protein, chitinase-3 like-protein-1 (CHI3L1) has been observed, emanating from various cell types such as cancer cells, macrophages, and T cells. The development of an immunosuppressive and fibrotic TME has been implicated in CHI3L1-mediated cancer progression. Despite recognizing the potential for CHI3L1 blockade to facilitate cancer regression, there remains a limited understanding of the regulatory mechanisms governing the expression of this tumor-promoting protein within cancer cells. Our investigations, along with others, have identified low levels of CHI3L1 protein in normal epithelial cells, in stark contrast to its abundant presence in pancreatic cancer tumor specimens. We propose that the interaction between cancer and stromal cells in the TME induces CHI3L1 expression within cancer cells. To test this hypothesis, we established a co-culture system involving cancer and stromal cells including pancreatic stellate cells, macrophages and T cells to emulate the TME of pancreatic cancer. Subsequently, we observed a ten-fold increase in CHI3L1 expression in cancer cells upon exposure to co-culture media. Through secretomic analysis, C-X-C motif chemokine ligand 10 (CXCL10) emerged as a potential inducer of CHI3L1 expression in response to co-culture media. CXCL10/CXCR3 signaling has been reported to correlate with poor prognosis in pancreatic cancer, while their role in disease development is still unclear. Concurrently, Gene Set Enrichment Analysis (GSEA) identified the activation of TNFα signaling via NF-κB and TGF-β pathways in pancreatic cancer patients with high CHI3L1 expression. Notably, chromatin-immunoprecipitation and promoter activity assays validated the direct binding and transcriptional regulatory role of NF-κB, a downstream transcription factor of CXCL10, on CHI3L1 gene in cancer cells. In addition, epigenetic reprogramming occurred during co-culture media education. Our observations indicated demethylation of the CHI3L1 promoter during co-culture media exposure, a phenomenon confirmed to be mediated by STAT3 activation. In summary, this study elucidates, for the first time, the intricate crosstalk between cancer and stromal cells within the TME of pancreatic cancer as a pivotal factor for the transcriptional and epigenetic dysregulation of CHI3L1, which then contributes to TME remodeling and malignant pancreatic cancer progression. Citation Format: Pei-Chia (Peggy) Su, Yi-Ching Wang. Cancer-stromal cells interaction dominates the expression of pro-tumor decreted protein chitinase-3-like-1 in pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB190.

MSLN induced EMT, cancer stem cell traits and chemotherapy resistance of pancreatic cancer cells

Chemoresistance is one of the main reasons for poor prognosis of pancreatic cancer. The effects of mesothelin (MSLN) on chemoresistance in pancreatic cancer are still unclear. We aim to investigate potential roles of MSLN in chemoresistance and its relationship with proliferation, epithelial-mesenchymal transition (EMT) and cancer stemness of pancreatic cancer cells. Human pancreatic cancer cell lines ASPC-1 and Mia PaCa-2 with high and low expression of MSLN, respectively, were selected. The ASPC-1 with MSLN knockout (KO) and Mia PaCa-2 of MSLN overexpression (OE) were generated. The effects of MSLN on cell phenotypes, expression of EMT-related markers, clone formation, tumor sphere formation, and pathologic role of MSLN in tumorigenesis were detected. Sensitivity of tumor cells to gemcitabine was evaluated. The results showed that adhesion, proliferation, migration and invasion were decreased significantly in ASPC-1 with MSLN KO, whereas increased significantly in Mia PaCa-2 with MSLN OE. The size and the number of clones and tumor spheres were decreased in ASPC-1 with MSLN KO, and increased in Mia PaCa-2 with MSLN OE. In xenograft model, tumor volume was decreased (tumor grew slower) in MSLN KO group compared to control group, while increased in MSLN OE group. Mia PaCa-2 with MSLN OE had a higher IC50 of gemcitabine, while ASPC-1 with MSLN KO had a lower IC50. We concluded that MSLN could induce chemoresistance by enhancing migration, invasion, EMT and cancer stem cell traits of pancreatic cancer cells. Targeting MSLN could represent a promising therapeutic strategy for reversing EMT and chemoresistance in pancreatic cancer cells.

EPYC functions as a novel prognostic biomarker for pancreatic cancer

Pancreatic cancer (PC) has become a worldwide challenge attributed to its difficult early diagnosis and rapid progression. Treatments continue to be limited besides surgical resection. Hence, we aimed to discover novel biological signatures as clinically effective therapeutic targets for PC via the mining of public tumor databases. We found that epiphycan (EPYC) could function as an independent risk factor to predict the poor prognosis in PC based on integrated bioinformatics analysis. We downloaded associated PC data profiles from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) online websites, then applied the software Rstudio to filter out genes under the strict criteria. After the batch survival analysis using Log-rank test and univariate cox regression, we obtained 39 candidate genes. Subsequently, we narrowed the scope to 8 genes by establishing a Lasso regression model. Eventually, we focused on 2 genes (EPYC and MET) by further building a multivariate cox regression model. Given that the role of EPYC in PC remains obscure, we then performed a series of molecular functional experiments, including RT-qPCR, CCK8, EdU, colony formation, Transwell, western blot, cell live-dead staining, subcutaneous tumor formation, to enhance our insight into its underlying molecular mechanisms. The above results demonstrated that EPYC was highly expressed in PC cell lines and could promote the proliferation of PCs via PI3K-AKT signaling pathway in vivo and in vitro. We arrived at a conclusion that EPYC was expected to be a biological neo-biomarker for PC followed by being a potential therapeutic target.

Gaps and Opportunities in the Diagnosis and Treatment of Pancreatic Cancer

Pancreatic cancer is one of the leading causes off cancer-related deaths globally. In Europe, this type of cancer has the lowest survival rate of all cancers. A majority of patients have unresectable or even metastatic disease. In addition, actual therapeutic options are not curative, and surgical treatment is associated with high post-operative morbidity and a lack of uniform translation of surgical success into long-term survival. Moreover, there is no screening for the general population which is recommended, and the overall poor prognosis in pancreatic cancer is related to late clinical detection. Therefore, early diagnosis and early treatment of pancreatic cancer are particularly critical. In this review, we summarize the most significant gaps and opportunities in the diagnosis and treatment of pancreatic cancer to emphasize need for improvement of early detection and the therapeutic efficacy of the available treatment for this cancer. Novel, inclusive, and intentional research is needed to produce improvements in pancreatic cancer in mm the world.

PSCA is a critical biomarker for predicting the prognosis of KRAS/TP53 mutant pancreatic cancer patients

Background: Partly due to the limited effect of chemotherapy or other therapeutic strategies, which may be due to the insufficient knowledge of the tumor promotion markers and targets, pancreatic cancer (PC) holds the position of one of the most malignant tumors. This study aims to find a diagnosis/therapeutic molecule that can predict the prognosis of PC with different gene background. Methods: The Cancer Genome Atlas (TCGA) pancreatic duct adenocarcinoma (PAAD)–based single nucleotide polymorphisms and gene expression data were used to find the differentially expressed genes (DEGs) between KRAS/TP53 mutant samples and no gene mutation samples. Gene Set Enrichment Analysis (GSEA)-based Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and R-based gene oncology (GO) or immune cell invasion assay were used to explore the above DEGs involved pathways. The single-center PC cohort accompanied with next-generation sequence testing was used to verify the TCGA PAAD–based bioinformatic results. Results: First, we found PC patients who harbored KRAS and/or TP53 gene mutation have poor overall survival. Besides, the enrichment analysis showed that mutant KRAS/TP53 was correlated with PC tumor-promotion–related pathways and immune microenvironment. Next, we detected that prostate stem cell antigen (PSCA) was one of the most differential genes in KRAS/TP53 mutant PC tissues. Indeed, the bioinformatic analysis and our clinical data showed that PSCA was a biomarker of poor prognosis in PC. Conclusion: PSCA is a critical biomarker for predicting the prognosis of KRAS/TP53 mutant PC patients.

Down regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is associated with a very poor prognosis. Therefore, there has been a focus on identifying new biomarkers for its early diagnosis and the prediction of patient survival. Genome-wide RNA and microRNA sequencing, bioinformatics and Machine Learning approaches to identify differentially expressed genes (DEGs), followed by validation in an additional cohort of PDAC patients has been undertaken. To identify DEGs, genome RNA sequencing and clinical data from pancreatic cancer patients were extracted from The Cancer Genome Atlas Database (TCGA). We used Kaplan–Meier analysis of survival curves was used to assess prognostic biomarkers. Ensemble learning, Random Forest (RF), Max Voting, Adaboost, Gradient boosting machines (GBM), and Extreme Gradient Boosting (XGB) techniques were used, and Gradient boosting machines (GBM) were selected with 100% accuracy for analysis. Moreover, protein–protein interaction (PPI), molecular pathways, concomitant expression of DEGs, and correlations between DEGs and clinical data were analyzed. We have evaluated candidate genes, miRNAs, and a combination of these obtained from machine learning algorithms and survival analysis. The results of Machine learning identified 23 genes with negative regulation, five genes with positive regulation, seven microRNAs with negative regulation, and 20 microRNAs with positive regulation in PDAC. Key genes BMF, FRMD4A, ADAP2, PPP1R17, and CACNG3 had the highest coefficient in the advanced stages of the disease. In addition, the survival analysis showed decreased expression of hsa.miR.642a, hsa.mir.363, CD22, BTNL9, and CTSW and overexpression of hsa.miR.153.1, hsa.miR.539, hsa.miR.412 reduced survival rate. CTSW was identified as a novel genetic marker and this was validated using RT-PCR. Machine learning algorithms may be used to Identify key dysregulated genes/miRNAs involved in the disease pathogenesis can be used to detect patients in earlier stages. Our data also demonstrated the prognostic and diagnostic value of CTSW in PDAC.

Regulation of AMPK activation by extracellular matrix stiffness in pancreatic cancer

The adenosine monophosphate (AMP)-activated protein kinase (AMPK) sits at a central node in the regulation of energy metabolism and tumor progression. AMPK is best known to sense high cellular ADP or AMP levels, which indicate the depletion of energy stores. Previous studies have shown that the low expression of phosphorylated AMPK is associated with a poor prognosis of pancreatic cancer. In this study, we report that AMPK is also highly sensitive to extracellular matrix (ECM) stiffness. We found that AMPK is activated in cells when cultured under low ECM stiffness conditions and is functionally required for the metabolic switch induced by ECM stiffness. This regulation of AMPK requires the Hippo kinases but not LKB1/CaMKKβ. Hippo kinases directly phosphorylate AMPKα at Thr172 to activate AMPK at low ECM stiffness. Furthermore, we found AMPK activity is inhibited in patients with pancreatic ductal adenocarcinoma (PDAC) with high ECM stiffness and is associated with a poor survival outcome. The activation of Hippo kinases by ROCK inhibitor Y-27632 in combination with the mitochondrial inhibitor metformin synergistically activates AMPK and dramatically inhibits PDAC growth. Together, these findings establish a novel model for AMPK regulation by the mechanical properties of ECMs and provide a rationale for simultaneously targeting the ECM stiffness–Hippo kinases–AMPK signaling and low glucose–LKB1–AMPK signaling pathways as an effective therapeutic strategy against PDAC.

ImmunoPET Imaging of CD47 with VHH-Derived Tracers in Pancreatic Cancers.

Pancreatic ductal adenocarcinoma (PDAC) is a malignant tumor with insidious onset, rapid progression, and a very poor prognosis. CD47 is a transmembrane protein associated with the development and poor prognosis of pancreatic cancer. The aim of this study was to evaluate the diagnostic value of novel immunoPET tracers targeting CD47 in preclinical pancreatic cancer models. The association of CD47 expression with pancreatic cancer was analyzed using the Gene Expression Profiling Interactive Analysis platform. Immunohistochemical analysis of tissue microarrays was performed to detect CD47 expression in PDAC. CD47 expression levels on BxPC-3 and AsPC-1 cell membranes were compared using flow cytometry. A VHH (C2)-targeting human CD47 and its albumin-binding derivative (ABDC2) were labeled with 68Ga or 89Zr, respectively. The developed tracers were evaluated by immuno-positron emission tomography (immunoPET) imaging in tumor-bearing nude and CD47-humanized mice. [68Ga]Ga-NOTA-C2 effectively detected tumor lesions in nude mice models and further showed confirmative imaging capacity in CD47-humanized PDAC models. Compared with [68Ga]Ga-NOTA-C2, [89Zr]Zr-DFO-ABDC2 had a significantly prolonged circulation time, increased tumor uptake, and reduced accumulation in the kidneys. Finally, biodistribution and histological staining confirmed the results of the immunoPET imaging studies. In this study, we validated that two novel VHH-derived molecular imaging tracers for immunoPET imaging ([68Ga]Ga-NOTA-C2 and [89Zr]Zr-DFO-ABDC2) can effectively annotate CD47 expression and diagnose PDAC in a target-specific manner. Clinical application of the imaging strategies may help select patients for CD47-targeted therapies and assess the response thereafter.

State-of-the-Art and Upcoming Innovations in Pancreatic Cancer Care: A Step Forward to Precision Medicine

Pancreatic cancer remains a social and medical burden despite the tremendous advances that medicine has made in the last two decades. The incidence of pancreatic cancer is increasing, and it continues to be associated with high mortality and morbidity rates. The difficulty of early diagnosis (the lack of specific symptoms and biomarkers at early stages), the aggressiveness of the disease, and its resistance to systemic therapies are the main factors for the poor prognosis of pancreatic cancer. The only curative treatment for pancreatic cancer is surgery, but the vast majority of patients with pancreatic cancer have advanced disease at the time of diagnosis. Pancreatic surgery is among the most challenging surgical procedures, but recent improvements in surgical techniques, careful patient selection, and the availability of minimally invasive techniques (e.g., robotic surgery) have dramatically reduced the morbidity and mortality associated with pancreatic surgery. Patients who are not candidates for surgery may benefit from locoregional and systemic therapy. In some cases (e.g., patients for whom marginal resection is feasible), systemic therapy may be considered a bridge to surgery to allow downstaging of the cancer; in other cases (e.g., metastatic disease), systemic therapy is considered the standard approach with the goal of prolonging patient survival. The complexity of patients with pancreatic cancer requires a personalized and multidisciplinary approach to choose the best treatment for each clinical situation. The aim of this article is to provide a literature review of the available treatments for the different stages of pancreatic cancer.

Establishment and validation of a nomogram based on coagulation parameters to predict the prognosis of pancreatic cancer

BackgroundIn recent years, multiple coagulation and fibrinolysis (CF) indexes have been reported to be significantly related to the progression and prognosis of some cancers.ObjectiveThe purpose of this study was to comprehensively analyze the value of CF parameters in prognosis prediction of pancreatic cancer (PC).MethodsThe preoperative coagulation related data, clinicopathological information, and survival data of patients with pancreatic tumor were collected retrospectively. Mann Whitney U test, Kaplan-Meier analysis, and Cox proportional hazards regression model were applied to analyze the differences of coagulation indexes between benign and malignant tumors, as well as the roles of these indexes in PC prognosis prediction.ResultsCompared with benign tumors, the preoperative levels of some traditional coagulation and fibrinolysis (TCF) indexes (such as TT, Fibrinogen, APTT, and D-dimer) were abnormally increased or decreased in patients with pancreatic cancer, as well as Thromboelastography (TEG) parameters (such as R, K, α Angle, MA, and CI). Kaplan Meier survival analysis based on resectable PC patients showed that the overall survival (OS) of patients with elevated α angle, MA, CI, PT, D-dimer, or decreased PDW was markedly shorter than other patients; moreover, patients with lower CI or PT have longer disease-free survival. Further univariate and multivariate analysis revealed that PT, D-dimer, PDW, vascular invasion (VI), and tumor size (TS) were independent risk factors for poor prognosis of PC. According to the results of modeling group and validation group, the nomogram model based on independent risk factors could effectively predict the postoperative survival of PC patients.ConclusionMany abnormal CF parameters were remarkably correlated with PC prognosis, including α Angle, MA, CI, PT, D-dimer, and PDW. Furthermore, only PT, D-dimer, and PDW were independent prognostic indicators for poor prognosis of PC, and the prognosis prediction model based on these indicators was an effective tool to predict the postoperative survival of PC.

LncRNA FAM83A-AS1 promotes epithelial–mesenchymal transition of pancreatic cancer cells via Hippo pathway

ABSTRACT Background Long non-coding RNAs (lncRNAs) have been proved to play a vital role in pancreatic cancer (PC). However, the role of lncRNA FAM83A-AS1 in PC remains unclear. In this study, we explored the biological function and underlying mechanism of FAM83A-AS1 in PC cells. Methods The FAM83A-AS1 expression was assessed via public databases and validated by qRT-PCR. The biofunction and immune cell infiltration of FAM83A-AS1 were analyzed through GO, KEGG, GESA and ssGSEA. The migration, invasion and proliferation abilities of PC cells were examined by Transwell, wound healing, CCK8 and colony formation. The EMT and Hippo pathway markers were evaluated by western blot. Results FAM83A-AS1 expression was higher in PC tissues and cells than normal. Additionally, FAM83A-AS1 was associated with poor prognosis of PC and involved in cadherin binding and immune infiltration. Subsequently, we proved FAM83A-AS1 overexpression enhanced the migration, invasion and proliferation abilities of PC cells, whereas FAM83A-AS1 downregulation inhibited those. Moreover, western blot results showed that FAM83A-AS1 knockdown increased the E-cadherin expression and decreased the expression of N-cadherin, β-catenin, Vimentin, Snail and Slug. On the contrary, FAM83A-AS1 upregulation results in the opposite effects. Besides, FAM83A-AS1 overexpression inhibited the expression of p-YAP, p-MOB1, p-Lats1, SAV1, MST1 and MST2 as well as the results of FAM83A-AS1 knockdown were opposite. Conclusion FAM83A-AS1 promoted EMT of PC cells via Hippo signaling inactivation and may be a potential diagnosis and prognosis target.

Presence of PD-1 similarity genes in monocytes may promote the development of type 1 diabetes mellitus and poor prognosis of pancreatic cancer

IntroductionTo identify proteins and corresponding genes that share sequential and structural similarity with programmed cell death protein-1 (PD-1) in patients with type 1 diabetes mellitus (T1DM) via bioinformatics analysis.Research design...

High RRN3 expression is associated with malignant characteristics and poor prognosis in pancreatic cancer.

Pancreatic cancer has an extremely poor prognosis and is one of the most chemoresistant cancers. Targeting cancer cell transcriptional complexes may enhance chemotherapy effectiveness. RNA-polymerase I (Pol-I)-mediated transcription is an essential initial step for ribosome biogenesis and is related to cancer cell proliferation. RRN3 is a Pol-I-specific transcription initiation factor. In this study, we aimed to elucidate the function and clinical significance of RRN3 in pancreatic cancer. We performed immunohistochemical staining to detect RRN3 protein expression in 96 pancreatic cancer tissues and analyzed the relationship between RRN3 protein expression, clinicopathological factors, and cancer patient prognosis. Moreover, we evaluated RRN3 function in vitro and in vivo using proliferation, invasion, and chemosensitivity assays in PANC-1 and SW1990 cell lines, with/without depleting RRN3 expression. RRN3 was mainly expressed in cancer cell nuclei. High levels of RRN3 expression were associated with Ki-67 expression and shorter overall survival. Additionally, proliferation and invasion ability were decreased when RRN3 was silenced with siRNA, compared to non-targeting siRNA-transfected cells. Chemosensitivity analysis showed that inhibition of RRN3 enhanced the sensitivity of pancreatic cancer cell lines to gemcitabine and paclitaxel. RRN3 siRNA-transfected PANC-1 tumors showed significantly reduced tumor volumes and high gemcitabine sensitivity compared to the control in a mouse xenograft model. High levels of RRN3 expression are associated with poor prognosis and cancer malignancy, such as proliferation, invasion ability, and chemosensitivity in pancreatic cancer. RRN3 targeting with anticancer drugs may be a promising therapeutic strategy to overcome refractory pancreatic cancer.

New Treatment Options in Metastatic Pancreatic Cancer

Pancreatic cancer (PC) is the seventh leading cause of cancer death across the world. Poor prognosis of PC is associated with several factors, such as diagnosis at an advanced stage, early distant metastases, and remarkable resistance to most conventional treatment options. The pathogenesis of PC seems to be significantly more complicated than originally assumed, and findings in other solid tumours cannot be extrapolated to this malignancy. To develop effective treatment schemes prolonging patient survival, a multidirectional approach encompassing different aspects of the cancer is needed. Particular directions have been established; however, further studies bringing them all together and connecting the strengths of each therapy are needed. This review summarises the current literature and provides an overview of new or emerging therapeutic strategies for the more effective management of metastatic PC.

GAP-43 targeted indocyanine green-loaded near-infrared fluorescent probe for real-time mapping of perineural invasion lesions in pancreatic cancer in vivo

ObjectivePerineural invasion (PNI) is associated with local recurrence, distant metastasis, and a poor prognosis in pancreatic cancer. However, rare attempt was made to identified the PNI intraoperative. To facilitate precise R0 excision of the tumor, we planned to develop a fluorescent probe for intraoperative imaging of the PNI using GAP-43 as the target and indocyanine green (ICG) as the carrier. MethodsThe probe was created by binding peptide antibody and ICG. Its targeting was tested in vitro and in vivo using a co-culture model of PC12 and tumor cells to create an in vitro neural invasion model and a mouse sciatic nerve invasion model. The small animal imaging system and surgical navigation system confirmed the probe's potential clinical applicability. The sciatic nerve damage model was created to confirm the probe's targeting. ResultsWe used the pancreatic cancer samples and the public database to confirm that GAP-43 was preferentially overexpressed in pancreatic cancer, particularly in PNI. PC12 cells showed high GAP-43RA-PEG-ICG probe-specific absorption after being co-cultured with tumor cells in vitro. In the sciatic nerve invasion experiment, animals in probe group displayed a significantly stronger fluorescence signal at the PNI compared to ICG-NP and the contralateral normal nerves groups. Although only 60 % of mice appeared to have R0 resections by the naked eye, small animal imaging systems and surgical fluorescence navigation systems could remove the tumor with R0 precision. The injury model used in the probe imaging experimental trials demonstrated that the probe was specifically targeted to the injured nerve, regardless of whether the injury was infiltrated by a tumor or physical. ConclusionWe developed the GAP-43Ra-ICG-PEG, an active-targeting near-infrared fluorescent (NIRF) probe, that specifically binds to GAP-43-positive neural cells in an in vitro model of PNI. The probe efficiently visualized PNI lesions in pancreatic cancer in preclinical models, opening up new possibilities for NIRF-guided pancreatic surgery, particularly for PNI patients.