Prognosis Of Pancreatic Cancer Patients Research Articles

CRL2KLHDC3 and CRL1Fbxw7 cooperatively mediate c-Myc degradation.

c-Myc is a proto-oncoprotein that regulates various cellular processes and whose abnormal expression leads to tumorigenesis. c-Myc protein stability has been shown to be predominantly controlled by the ubiquitin ligase (E3) CRL1Fbxw7 in a manner dependent on glycogen synthase kinase 3 (GSK3)-mediated phosphorylation. Here we show that, in some types of cancer cells, c-Myc degradation is largely insensitive to the GSK3 inhibitor (GSK3i) CHIR99021, suggesting the existence of an E3 other than CRL1Fbxw7 for c-Myc degradation. Mass spectrometry identified CRL2KLHDC3 as such an E3. In GSK3i-insensitive cancer cells, combined depletion of Fbxw7 and KLHDC3 resulted in marked stabilization of c-Myc, suggestive of a cooperative action of Fbxw7 and KLHDC3. Furthermore, transplantation of such cells deficient in both Fbxw7 and KLHDC3 into immunodeficient mice gave rise to larger tumors compared with those formed by cells lacking only Fbxw7. GSK3i-insensitive pancreatic cancer cells expressed lower levels of SHISA2, a negative regulator of the Wnt signaling pathway, than did GSK3i-sensitive cells. KLHDC3 mRNA abundance was associated with prognosis in pancreatic cancer patients with a low level of SHISA2 gene expression. These results suggest that KLHDC3 cooperates with Fbxw7 to promote c-Myc degradation in a subset of cancer cells with low GSK3 activity.

A prognostic binary classifier comprised of five critical mRNAs stratified pancreatic cancer patients following resection

BackgroundPancreatic cancer is characterized by an extremely poor prognosis, even following potentially curative resection. Classical prognostic markers such as histopathological or clinical parameters have limited predictive power. The present study aimed to establish a prognostic model combining mRNA expression data with histopathological and clinical data to better predict survival and stratify pancreatic cancer patients following resection. We pioneered three models in one study and systematically evaluated the clinical benefits of all three models. MethodsTo identify differentially expressed genes in pancreatic cancer, mRNA data from normal (GTEx database) and pancreatic cancer (TCGA database) tissues were used. Survival analysis was carried out to identify prognosis-relevant genes from the identified differentially expressed genes and LASSO regression was used to filter out hub genes. The risk score of several hub genes was calculated according to gene expression and coefficients. Validation was carried out using an independent set of GEO microarray data. Multivariate COX regression was used for identifying independent clinical and pathological risk factors related to patient’s survival in the TCGA database and a prognostic model combining mRNA expression data with histopathological and clinical data was established. Another prognostic model using clinicopathological factors from the SEER database was conceived based on multivariate COX regression. NRI (net reclassification improvement) and IDI (integrated discrimination index) were used to compare the predictive capabilities of the different models. ResultsWe identified 1589 differentially expressed genes (DEGs) through the comparison of normal and pancreatic cancer tissues, of whom 317 were associated with prognosis(p<0.05). LASSO regression identified five hub genes, MYEOV, ANXA2P2, MET, CEP55, and KRT7, that were used for the five-mRNA-classifier prognostic model. The classifier could stratify patients into a short and long survival group: 5-year overall survival in the training set (TCGA, 6% vs 52%, p<0.001), test set (TCGA, 18% vs 55%,p<0.01) and external validation set (GEO, 0% vs 25%, p<0.05). Sensitivity analysis showed that the mRNA model (model 1) was better than the clinicopathological no-mRNA model (model 2) in predicting 5-year survival in the TCGA database (AUC: 0.877 vs 0.718, z=3.165, p<0.01) and better than the multi-factor prognostic model (model 3) from the SEER database (AUC: 0.754, z=2.637, p<0.01). On predictive performance, model 1 improved model 2 (NRI=0.084, z=1.288, p=0.198; IDI=0.055, z=1.041 ,p=0.298) and model 3 (NRI=0.167,z=1.961,p=0.05; IDI=0.086, z=1.427, p=0.154). ConclusionThe five-mRNA-classifier is a reliable and feasible instrument to predict the prognosis of pancreatic cancer patients following resection. It might help in patiens counseling and assist clinicians in providing individualized treatment for patients in different risk groups.

Identification of methylation driver genes for predicting the prognosis of pancreatic cancer patients based on whole-genome DNA methylation sequencing technology

This study was based on the use of whole-genome DNA methylation sequencing technology to identify DNA methylation biomarkers in tumor tissue that can predict the prognosis of patients with pancreatic cancer (PCa). TCGA database was used to download PCa-related DNA methylation and transcriptome atlas data. Methylation driver genes (MDGs) were obtained using the MethylMix package. Candidate genes in the MDGs were screened for prognostic relevance to PCa patients by univariate Cox analysis, and a prognostic risk score model was constructed based on the key MDGs. ROC curve analysis was performed to assess the accuracy of the prognostic risk score model. The effects of PIK3C2B knockdown on malignant phenotypes of PCa cells were investigated in vitro. A total of 2737 differentially expressed genes were identified, with 649 upregulated and 2088 downregulated, using 178 PCa samples and 171 normal samples. MethylMix was employed to identify 71 methylation-driven genes (47 hypermethylated and 24 hypomethylated) from 185 TCGA PCa samples. Cox regression analyses identified eight key MDGs (LEF1, ZIC3, VAV3, TBC1D4, FABP4, MAP3K5, PIK3C2B, IGF1R) associated with prognosis in PCa. Seven of them were hypermethylated, while PIK3C2B was hypomethylated. A prognostic risk prediction model was constructed based on the eight key MDGs, which was found to accurately predict the prognosis of PCa patients. In addition, the malignant phenotypes of PANC-1 cells were decreased after the knockdown of PIK3C2B. Therefore, the prognostic risk prediction model based on the eight key MDGs could accurately predict the prognosis of PCa patients.

Calix[6]arene dismantles extracellular vesicle biogenesis and metalloproteinases that support pancreatic cancer hallmarks

Many challenges are faced in pancreatic cancer treatment due to late diagnosis and poor prognosis because of high recurrence and metastasis. Extracellular vesicles (EVs) and matrix metalloproteinases (MMPs), besides acting in intercellular communication, are key players in the cancer cell plasticity responsible for initiating metastasis. Therefore, these entities provide valuable targets for the development of better treatments. In this context, this study aimed to evaluate the potential of calix[6]arene to disturb the release of EVs and the activity of MMPs in pancreatic cancer cells. We found a correlation between the endocytic-associated mediators and the prognosis of pancreatic cancer patients. We observed a more active EV machinery in the pancreatic cancer cell line PANC-1, which was reduced three-fold by treatment with calix[6]arene at subtoxic concentration (5 μM; p 〈0,001). We observed the modulation of 186 microRNAs (164 miRNAs upregulated and 22 miRNAs downregulated) upon calix[6]arene treatment. Interestingly, some of them as miR-4443 and miR-3909, regulates genes HIF1A e KIF13A that are well known to play a role in transport of vesicles. Furthermore, Calix[6]arene downmodulated matrix metalloproteinases (MMPs) -2 and − 9 and disturbed the viability of pancreatic organoids which recapitulate the cellular heterogeneity, structure, and functions of primary tissues. Our findings shed new insights on calix[6]arene's antitumor mechanism, including its intracellular effects on vesicle production and trafficking, as well as MMP activity, which may harm the tumor microenvironment and contribute to a reduction in cancer cell dissemination, which is one of the challenges associated with high mortality in pancreatic cancer.

Identification of fibronectin type III domain containing 3B as a potential prognostic and therapeutic target for pancreatic cancer: a preliminary analysis

BackgroundFibronectin type III domain containing 3B (FNDC3B), a member of the fibronectin type III domain-containing protein family, has been indicated in various malignancies. However, the precise role of FNDC3B in the progression of pancreatic cancer (PC) still remains to be elucidated.MethodsIn this study, we integrated data from the National Center for Biotechnology Information, the Cancer Genome Atlas, Genotype-Tissue Expression database, and Gene Expression Omnibus datasets to analyze FNDC3B expression and its association with various clinicopathological parameters. Subsequently, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, along with Gene Set Enrichment Analysis (GSEA), single sample Gene Set Enrichment Analysis (ssGSEA) and estimate analysis were recruited to delve into the biological function and immune infiltration based on FNDC3B expression. Additionally, the prognostic estimation was conducted using Cox analysis and Kaplan–Meier analysis. Subsequently, a nomogram was constructed according to the result of Cox analysis to enhance the prognostic ability of FNDC3B. Finally, the preliminary biological function of FNDC3B in PC cells was explored.ResultsThe study demonstrated a significantly higher expression of FNDC3B in tumor tissues compared to normal pancreatic tissues, and this expression was significantly associated with various clinicopathological parameters. GSEA revealed the involvement of FNDC3B in biological processes and signaling pathways related to integrin signaling pathway and cell adhesion. Additionally, ssGSEA analysis indicated a positive correlation between FNDC3B expression and infiltration of Th2 cells and neutrophils, while showing a negative correlation with plasmacytoid dendritic cells and Th17 cells infiltration. Kaplan–Meier analysis further supported that high FNDC3B expression in PC patients was linked to shorter overall survival, disease-specific survival, and progression-free interval. However, although univariate analysis demonstrated a significant correlation between FNDC3B expression and prognosis in PC patients, this association did not hold true in multivariate analysis. Finally, our findings highlight the crucial role of FNDC3B expression in regulating proliferation, migration, and invasion abilities of PC cells.ConclusionDespite limitations, the findings of this study underscored the potential of FNDC3B as a prognostic biomarker and its pivotal role in driving the progression of PC, particularly in orchestrating immune responses.

The radiomics nomogram predicts the prognosis of pancreatic cancer patients with hepatic metastasis after chemoimmunotherapy

ObjectiveTo construct a prognostic model based on MR features and clinical data to evaluate the progression free survival (PFS), overall survival (OS) and objective response rate (ORR) of pancreatic cancer patients with hepatic metastases who received chemoimmunotherapy.Methods105 pancreatic cancer patients with hepatic metastases who received chemoimmunotherapy were assigned to the training set (n = 52), validation set (n = 22), and testing set (n = 31). Multi-lesion volume of interest were delineated, multi-sequence radiomics features were extracted, and the radiomics models for predicting PFS, OS and ORR were constructed, respectively. Clinical variables were extracted, and the clinical models for predicting PFS, OS and ORR were constructed, respectively. The nomogram was jointly constructed by radiomics model and clinical model.ResultThe ORR exhibits no significant correlation with either PFS or OS. The area under the curve (AUC) of nomogram for predicting 6-month PFS reached 0.847 (0.737–0.957), 0.786 (0.566–1.000) and 0.864 (0.735–0.994) in the training set, validation set and testing set, respectively. The AUC of nomogram for predicting 1-year OS reached 0.770 (0.635–0.906), 0.743 (0.479–1.000) and 0.818 (0.630–1.000), respectively. The AUC of nomogram for predicting ORR reached 0.914 (0.828–1.00), 0.938 (0.840–1.00) and 0.846 (0.689–1.00), respectively.ConclusionThe prognostic models based on MR imaging features and clinical data are effective in predicting the PFS, OS and ORR of chemoimmunotherapy in pancreatic cancer patients with hepatic metastasis, and can be used to evaluate the prognosis of patients.

Serum HSP70 and VEGF levels are effective predictive factors of chemoradiosensitivity and prognosis of pancreatic cancer patients.

To evaluate the value of serum HSP70 and VEGF levels for predicting the chemoradiosensitivity of the pancreatic cancer patients. A total of 255 patients with pancreatic cancer and 60 healthy subjects were enrolled in this study. Serum levels of HSP70 and VEGF were measured using enzyme-linked immunosorbent assay (ELISA) for the pre-treatment, during-treatment and post- chemoradiotherapy time-points. The results were analyzed to evaluate the potential of serum HSP70 and VEGF levels for predicting the chemoradiosensitivity of pancreatic cancer patients. The serum levels of both HSP70 and VEGF were found to be elevated in pancreatic cancer patients as compared to healthy subjects. After chemoradiotherapy treatment, 179 patients showed effective clinical response [complete response (CR) + partial response (PR)] while 76 patients showed ineffective clinical response [stable disease (SD) + progressive disease (PD)]. Compared with the pre-treatment levels, serum levels of HSP70 and VEGF were higher during chemoradiotherapy, and lower post-treatment in the effective group. However, serum levels of HSP70 and VEGF were higher during and after treatment in the ineffective group. At any given timepoint, serum levels of HSP70 and VEGF were higher in the ineffective group as compared to those of the effective group. The overall survival (OS) and progression free survival (PFS) trends were: HSP70 High/VEGFHigh < HSP70High/VEGFLow or HSP70Low/VEGFHigh < HSP70Low/VEGFLow. Serum levels of HSP70 and VEGF were individually effective, and their combination was even more effective in predicting the chemoradiosensitivity of pancreatic cancer patients. HSP70 and VEGF expression were independent risk factors for OS and PFS of pancreatic cancer patients. Higher levels of serum HSP70 and VEGF were associated with lower radiosensitivity and worse prognosis, while lower levels of serum HSP70 and VEGF were associated with improved radiosensitivity and better prognosis of pancreatic cancer patients.

Abstract 7463: Chromosomal instability elicits anti-tumor immunity in pancreatic cancer

Abstract Chromosomal instability (CIN) is a hallmark of solid cancers and an established driver of disease progression, therapy resistance, metastasis and on the whole poor patient outcome. Pancreatic cancer is particularly devastating, defined by dismal survival rates with many patients presenting with metastatic disease upon diagnosis, and 5-year survival only reaching ~10%. Despite recent efforts to improve prognosis for pancreatic cancer patients with immunotherapies alone and in combination with other therapeutics progress remains limited. Despite CIN’s established role as a driver of disease progression, we have made the paradoxical observation that chromosomally unstable, murine pancreatic cancer cells elicit an anti-tumor immune response. CIN was induced experimentally in a chromosomally stable, metastatic model of pancreatic cancer. Modeling metastatic dissemination by injection of cells into the tail vein of mice led to robust tumor formation in the lungs where CIN-low cells formed many small lesions while CIN-high cells formed fewer but larger tumors. We investigated if the tumors were infiltrated differentially by immune cells by immunofluorescence and found that CIN-high tumors were more readily infiltrated by effector T-cells. This observation motivated us to test immunotherapy response in CIN-low and CIN-high cells. Subcutaneously implanted tumor cells were treated with an immune checkpoint inhibitor and isotype control antibody which revealed that CIN-high cells responded to immunotherapy while CIN-low cells did not. To put forward potential mechanisms explaining CIN-driven anti-tumor immunity, we performed molecular analyses of CIN-low and CIN-high tumors. First, we found that inflammatory pathways were significantly up-regulated in CIN-high tumors compared with CIN-low tumors. These findings were validated by cytokine measurements and RNA in situ hybridization. To dissect inflammatory pathway activation mechanistically, we engineered CIN-high cells using CRISPR/Cas9 that were deficient for key inflammatory cytokines and transcription factors. These experiments suppressed cell-intrinsic and ligand-induced inflammation. Yet, we failed to determine singular cytokine expression as mediator of anti-tumor immunity. To rule out the contribution of ligand-induced inflammation in the tumor microenvironment, we probed immune checkpoint blockade in combination with antibodies blocking inflammatory ligand receptors in CIN-high cells. We found that immune checkpoint blockade was cancer cell-intrinsic and independent of blocking antibodies. In summary, our data implicates CIN as a determinant of therapeutic and genetic anti-tumor immunity in a preclinical model of pancreatic cancer. Citation Format: Daniel Bronder, Roshan K. Sriram, Mercedes Duran, Melody Di Bona, Sarina McElduff, Samuel F. Bakhoum. Chromosomal instability elicits anti-tumor immunity in pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7463.

Abstract 6959: Acetylcholine potentiates invasion and migration of human pancreatic cancer cells under hypoxia through α7 nAChR-mediated increases in HIF-1α expression

Abstract The most significant nerve-related problem in clinical pancreatic cancer management is perineural invasion (PNI), characterized as the neoplastic invasion of cancer cells into or surrounding the nerves. It is a characteristic feature of pancreatic ductal adenocarcinoma (PDAC) associated with a poor prognosis, tumor recurrence, and emergent pain. However, why PDAC is associated with a higher incidence of PNI remains unclear. HIF-1 (hypoxia-inducible factor-1) regulates the expression of ~1000 genes involved in angiogenesis, metastasis, tumor growth, chemoresistance and radioresistance, underscoring the growing interest in targeting HIF-1 for cancer control. In the present study, we investigated the molecular mechanisms underlying neurotransmitter acetylcholine (Ach)-potentiated HIF-1α expression and subsequent increase in invasion and migration of human pancreatic cancer cells in hypoxia (2% O2). The expression of various acetylcholine receptors in six types of pancreatic cancer cell lines (MIA-PaCa-2, PANC-1, HPAF-II, Capan-1, AsPC-1, and BxPC-3 cells) was observed using qPCR, and α7 nAChRs was observed to be expressed in all pancreatic cancer cells. Therefore, we chose MIA-PaCa-2 cells, expressing high levels of α7 nAChRs, and HPAF-II cells, expressing low levels of α7 nAChRs, for loss- and gain-of-function studies, respectively. In vitro assays showed that, under hypoxic conditions, Ach caused a concentration-dependent increase in α7 nAChRs-mediated HIF-1α expression, enhancing expression of HIF-1α target genes, and promoting invasion and migration of human pancreatic cancer cells. We further found that Ach increased HIF-1α protein stability in pancreatic cancer cells under hypoxic conditions. This effect was mediated by YAP signaling, as evidenced by the fact that Ach-induced increases in HIF-1α protein stability were blocked by siRNA-mediated knockdown of YAP. Consistent with these findings, an investigation of the relationship between α7 nAChRs and clinicopathological features in pancreatic cancer patients using publicly available datasets showed that high levels of α7 nAChRs are correlated with a poorer prognosis in pancreatic cancer patients. Collectively, these findings identify novel mechanisms by which Ach potentiates invasion and migration of pancreatic cancer cells and provide further evidence that HIF-1α is a potential anticancer target in Ach-associated pancreatic cancer. Citation Format: Yunmi Cho, Eun-Taex Oh, Ha Gyeong Kim, Heon Joo Park. Acetylcholine potentiates invasion and migration of human pancreatic cancer cells under hypoxia through α7 nAChR-mediated increases in HIF-1α expression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6959.

Abstract 455: Identification of hsa-miR-6794-3p as a key regulatory factor in human pancreatic cancer metastasis

Abstract Metastasis is a major factor in treatment failure in patients with pancreatic cancer, but the underlying mechanisms remain unclear, and new, effective treatment strategies are needed. Here, we sought to identify novel microRNAs (miRNAs) with a key role in pancreatic cancer metastasis. Using a microarray analysis to evaluate miRNA expression in metastatic and non-metastatic pancreatic cancer, we found that expression of the miRNA, hsa-miR-6794-3p, was significantly lower in metastatic pancreatic cancer tissues than in non-metastatic pancreatic cancer tissues. Methylation-specific polymerase chain reaction analyses revealed that hsa-miR-6794-3p expression was downregulated in metastatic pancreatic cancer cells by hypermethylation of CpG islands within the hsa-miR-6794-3p promoter. Gain- and loss-of-function approaches using the human pancreatic cancer cell lines, MIA-PaCa-2 and HPAF-II, expressing low and high levels of hsa-miR-6794-3p, respectively, suggested a role for hsa-miR-6794-3p in decreasing cell invasion, migration, and epithelial-mesenchymal transition (EMT) signaling. Notably, we found that hsa-miR-6794-3p exerts its effects by inhibiting expression of the chromatin remodeling factor, RBBP4, through direct binding to the 3’-untranslated region of its mRNA. The resulting suppression of RBBP4 expression increases levels of the transcription factor GRHL2, which is involved in regulating invasion, migration, and EMT signaling in metastatic pancreatic cancer cells. Thus, lower levels of hsa-miR-6794-3p disrupt GRHL2-mediated regulation of these pathways by disinhibiting expression of the GRHL2 negative regulator, RBBP4. Consistent with these findings, an investigation of the relationship between hsa-miR-6794-3p and clinicopathological features in pancreatic cancer patients using publicly available datasets and immunohistochemistry showed that low levels of hsa-miR-6794-3p are correlated with a poorer prognosis in pancreatic cancer patients. Additional preclinical experiments in nude mice clearly demonstrated that hsa-miR-6794-3p is capable of suppressing pancreatic cancer cell metastasis. Taken together, these results suggest that hsa-miR-6794-3p suppresses tumor metastasis and thus represents a promising prognostic biomarker and therapeutic target in pancreatic cancer. Citation Format: Ha Gyeong Kim, Eun-Taex Oh, Yunmi Cho, Heon Joo Park. Identification of hsa-miR-6794-3p as a key regulatory factor in human pancreatic cancer metastasis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 455.

Integrated chromosomal instability and tumor microbiome redefined prognosis-related subtypes of pancreatic cancer

BackgroundPancreatic cancer is a common malignancy with poor prognosis and limited treatment. Here we aimed to investigate the role of host chromosomal instability (CIN) and tumor microbiome in the prognosis of pancreatic cancer patients. MethodsOne hundred formalin-fixed paraffin-embedded (FFPE) pancreatic cancer samples were collected. DNA extracted from FFPE samples were analyzed by low-coverage whole-genome sequencing (WGS) via a customized bioinformatics workflow named ultrasensitive chromosomal aneuploidy detector. ResultsSamples are tested according to the procedure of ultrasensitive chromosomal aneuploidy detector (UCAD). We excluded 2 samples with failed quality control, 1 patient lost to follow-up and 6 dead in the perioperative period. The final 91 patients were admitted for the following analyses. Thirteen (14.3%) patients with higher CIN score had worse overall survival (OS) than those with lower CIN score. The top 20 microbes in pancreatic cancer samples included 15 species of bacteria and 5 species of viruses. Patients with high human herpesvirus (HHV)-7 and HHV-5 DNA reads exhibited worse OS. Furthermore, we classified 91 patients into 3 subtypes. Patients with higher CIN score (n =13) had the worst prognosis (median OS 6.9 mon); patients with lower CIN score but with HHV-7/5 DNA load (n = 24) had worse prognosis (median OS 10.6 mon); while patients with lower CIN score and HHV-7/5 DNA negative (n = 54) had the best prognosis (median OS 21.1 mon). ConclusionsHigh CIN and HHV-7/5 DNA load were associated with worse survival of pancreatic cancer. The novel molecular subtypes of pancreatic cancer based on CIN and microbiome had prognostic value.

Fundamental insights and molecular interactions in pancreatic cancer: Pathways to therapeutic approaches

The gastrointestinal tract can be affected by a number of diseases that pancreatic cancer (PC) is a malignant manifestation of them. The prognosis of PC patients is unfavorable and because of their diagnosis at advanced stage, the treatment of this tumor is problematic. Owing to low survival rate, there is much interest towards understanding the molecular profile of PC in an attempt in developing more effective therapeutics. The conventional therapeutics for PC include surgery, chemotherapy and radiotherapy as well as emerging immunotherapy. However, PC is still incurable and more effort should be performed. The molecular landscape of PC is an underlying factor involved in increase in progression of tumor cells. In the presence review, the newest advances in understanding the molecular and biological events in PC are discussed. The dysregulation of molecular pathways including AMPK, MAPK, STAT3, Wnt/β-catenin and non-coding RNA transcripts has been suggested as a factor in development of tumorigenesis in PC. Moreover, cell death mechanisms such as apoptosis, autophagy, ferroptosis and necroptosis demonstrate abnormal levels. The EMT and glycolysis in PC cells enhance to ensure their metastasis and proliferation. Furthermore, such abnormal changes have been used to develop corresponding pharmacological and nanotechnological therapeutics for PC.

Identify novel inflammation-related prognostic signature in pancreatic cancer patients.

Pancreatic cancer (PC) is a malignant tumor of the digestive system with a poor prognosis. PC patients with pancreatitis have a worse prognosis. But nobody reported the relationship between inflammation and prognosis in PC. Based on this, we are going to explore inflammation-related prognostic signature to predict patients' survival and potential therapeutic target. We screened gene expression profile and corresponding clinical information of patients from The Cancer Genome Atlas (TCGA) database. Gene set enrichment analysis (GSEA) was performed to identify differentially expressed genes (DEGs) between tumor and normal tissues with P value < .05. Univariate and multivariate Cox regression analysis was applied to identify possible prognostic inflammation genes and establish an inflammation-related risk score system, which was validated by Kaplan-Meier and Receiver operating characteristic (ROC) curves. Finally, we used the TISIDB database to predict targeted drugs for up-regulated gene hepatocyte growth factor receptor (MET) and used AUTODOCK software for molecular docking. We built a prognostic model consisted of 3 inflammation-related genes (tumor necrosis factor receptor associated factor 1/TFAR1, tyrosine kinase 2/TYK2, MET). According to the median value of those genes' risk score, PC patients were ranked into high- (88) and low-risk (89) groups. Then, the results of the Kaplan-Meier curves and the area under the curve (AUC) of the ROC curves showed this model had a good predictive power (P < .001, AUC = 0.806). The result of human protein atlas (HPA) database showed the expression of TRAF1 and TYK2 were low in pancreatic cancer, the expression of MET was high. TISIDB database founded brigatinib could target to MET. And AUTODOCK showed brigatinib had a nice docking with MET. Taken together, our study suggested that inflammation-associated prognostic signature might be used as novel biomarkers for predicting prognosis in PC patients and potential therapeutic target of the disease.

Abstract B041: Identification of m3C modification sites within mRNAs of pancreatic cancer cells by long-read direct RNA sequencing

Abstract Chemical modification is a precise and effective way to control the biogenesis, stability, and function of biological molecules, such as nucleic acids, proteins, and lipids. More than 170 different types of modifications have been discovered in coding and non-coding RNAs, constituting a diverse RNA modification landscape, called epitranscriptome. RNA modifications were mediated by three types of proteins: writers, erasers, and readers. Recently, RNA modification machinery has been dysregulated in several types of cancers and may be promising targets for cancer therapy. 3-methylcytidine (m3C), which is catalyzed by METTL2A, 2B, 6, and 8, is found at position 32 of cytoplasmic tRNAs in organisms ranging from yeast to humans, however, their functions and regulatory machinery in mRNA and non-coding RNA has not been clarified because there were no effective anti- m3C antibodies. Here we discovered that the expression of m3C writers was higher in pancreatic tumors than in noncancerous tissues. We further found that METTL2A expression is associated with a poor prognosis in pancreatic cancer patients. We also showed that METTL2A depletion led to a reduction in the growth of AsPC1 cells. We next attempted to identify the m3C sites in cellular transcripts regulated by METTL2A in AsPC1 cells using long-read direct RNA sequencing. We corrected the transcriptome using ESPRESSO and searched for the RNA modifications using Nanocompore. We then found that METTL2A targets the NYCYN motif in mRNAs and mitochondrial rRNAs. Moreover, we found that transcripts with METTL2A-mediated m3C modification were upregulated in AsPC-1 cells knocked down by METTL2A. Our study provides evidence for METTL2A-mediated down-regulation of target mRNAs via m3C modification in the survival of pancreatic tumor cells. Citation Format: Shuhei Mitsutomi, Anzu Sugawara, Kenji Takahashi, Yusuke Mizukami, Nobuyoshi Akimitsu, Kenzui Taniue. Identification of m3C modification sites within mRNAs of pancreatic cancer cells by long-read direct RNA sequencing [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Translating Cancer Evolution and Data Science: The Next Frontier; 2023 Dec 3-6; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_2):Abstract nr B041.

Laminin γ-2 (LAMC2) promotes the proliferation and invasion of pancreatic cancer cells by regulating PI3K/Akt signaling

Background: Pancreatic ductal adenocarcinoma (PDAC) poses a serious threat to human health with high mortality and poor prognosis, and there is an urgent need to explore the pathogenesis of PDAC in order to search for new therapeutic targets. Methods: The expression of LAMC2 in PDAC and its effect on the prognosis of tumor patients were predicted by an online database, and the expression level of LAMC2 in pancreatic cancer was verified by PCR and western blot; flow cytometry, wound healing assay, CCK8 assay, and colony formation assay were used to explore the effect of LAMC2 on the proliferation and migration of pancreatic cancer cells; and we also probed the potential relationship between LAMC2 and PI3K/Akt signaling. Results: High levels of LAMC2 in pancreatic cancer may benefit tumor proliferation migration and invasion and lead to poor prognosis of tumor patients. And the mechanism by which LAMC2 promotes PDAC progression may be related to the activation of PI3K/Akt signaling to influence apoptosis, cell cycle. Conclusions: LAMC2 promotes proliferation migration invasion of PDAC and leads to poor prognosis in pancreatic cancer patients.

Suppression of pancreatic cancer proliferation through TXNIP-mediated inhibition of the MAPK signaling pathway.

Thioredoxin-interacting protein (TXNIP) is a crucial thioredoxin-binding protein that is recognized as a tumor suppressor in diverse malignancies, such as breast cancer, lung cancer, hepatocellular carcinoma, and thyroid cancer. However, the specific role and molecular mechanisms of TXNIP in the pathogenesis and progression of pancreatic cancer cells have not been determined. In this study, we investigate the relationship between TXNIP expression and overall survival prognosis in pancreatic cancer patients. Mechanistic studies are conducted to reveal the role of TXNIP in pancreatic cancer cell proliferation, migration, and regulation during malignancy. Our findings indicate that patients with high TXNIP expression have a more favorable prognosis. In vitro experiments with pancreatic cell lines show that overexpression of TXNIP suppresses the proliferation and migration of pancreatic cancer cells. Furthermore, we find that TXNIP inhibits the activation of the MAPK signaling pathway, thereby decreasing the malignant potential of pancreatic cancer. In conclusion, our study reveals TXNIP as a promising new predictive marker and therapeutic target for pancreatic cancer.

KLK10/LIPH/PARD6B/SLC52A3 are promising molecular biomarkers for the prognosis of pancreatic cancer through a ceRNA network

Pancreatic adenocarcinoma (PAAD) remains challenging to diagnose and treat clinically due to its difficult early diagnosis, low surgical resection rate, and high risk of postoperative recurrence and metastasis. SMAD4 is a classical mutated gene in pancreatic cancer and is lost in up to 60%–90 % of PAAD patients, and its mutation often predicts a poor prognosis and treatment resistance. In this study, based on the expression profile data in The Cancer Genome Atlas database, we identified a ceRNA network composed of 2 lncRNAs, 1 miRNA, and 4 mRNAs through differential expression analysis and survival prognosis analysis. Among them, high expression of KLK10/LIPH/PARD6B/SLC52A3 influenced the prognosis and overall survival of PAAD patients. We confirmed the high expression of these target genes in pancreatic tissue of pancreatic-specific SMAD4-deficient mice. In addition, immune infiltration analysis showed that the high expression of these target genes affects the tumor immune environment and contributes to the progression of PAAD. Abnormal overexpression of these target genes may be caused by hypermethylation. In conclusion, we found that KLK10/LIPH/PARD6B/SLC52A3 is a potential prognostic marker for PAAD based on a competing endogenous RNA-mediated mechanism and revealed the potential pathogenic mechanism by which deficient expression of SMAD4 promotes pancreatic cancer progression, which provides a new pathway and theoretical basis for targeted therapy or improved prognosis of pancreatic cancer. These data will help reveal potential therapeutic targets for pancreatic cancer and improve the prognosis of pancreatic cancer patients.

Improving the prognosis of pancreatic cancer: insights from epidemiology, genomic alterations, and therapeutic challenges.

Pancreatic cancer, notorious for its late diagnosis and aggressive progression, poses a substantial challenge owing to scarce treatment alternatives. This review endeavors to furnish a holistic insight into pancreatic cancer, encompassing its epidemiology, genomic characterization, risk factors, diagnosis, therapeutic strategies, and treatment resistance mechanisms. We delve into identifying risk factors, including genetic predisposition and environmental exposures, and explore recent research advancements in precursor lesions and molecular subtypes of pancreatic cancer. Additionally, we highlight the development and application of multi-omics approaches in pancreatic cancer research and discuss the latest combinations of pancreatic cancer biomarkers and their efficacy. We also dissect the primary mechanisms underlying treatment resistance in this malignancy, illustrating the latest therapeutic options and advancements in the field. Conclusively, we accentuate the urgent demand for more extensive research to enhance the prognosis for pancreatic cancer patients.

High expression ITGA2 affects the expression of MET, PD-L1, CD4 and CD8 with the immune microenvironment in pancreatic cancer patients.

Pancreatic cancer is characterized by a grim prognosis and is regarded as one of the most formidable malignancies. Among the genes exhibiting high expression in different tumor tissues, ITGA2 stands out as a promising candidate for cancer therapy. The promotion of cancer in pancreatic cancer is not effective. The objective of this study is to assess the presence of ITGA2, EMT and PD-L1 in pancreatic cancer. We examined the expression of ITGA2, MET, E-cadherin, PD-L1, CD4, and CD8 proteins in 62 pancreatic cancer tissue samples using multi-tissue immunofluorescence and immunohistochemistry techniques. Functional assays, such as the cell migration assay and transwell assay, were used to determine the biological role of ITGA2 in pancreatic cancer. The relationship of ITGA2,EMT and PD-L1 were examined using Western blot analysis and RT-qPCR assay. In our study, we observed the expression of ITGA2, E-cadherin, and PD-L1 in both tumor and stroma tissues of pancreatic cancer. Additionally, a positive correlation between ITGA2, E-cadherin, and PD-L1 in the tumor region (r=0.559, P<0.001 and r=0.511, P<0.001), and PD-L1 in the stroma region (r=0.512, P<0.001).The expression levels of ITGA2, CD4, and CD8 were found to be higher in pancreatic cancer tissues compared to adjacent tissues (P < 0.05). Additionally, ITGA2 was negatively correlated with CD4 and CD8 (r = -0.344, P < 0.005 and r = -0.398, P < 0.005).Furthermore, ITGA2, CD4, and CD8 were found to be correlated with the survival time of patients (P < 0.05). Blocking ITGA2 inhibited the proliferation and invasion ability of pancreatic cancer cells significantly, Additionally, sh-ITGA2 can down-regulate the expression of EMT and PD-L1. We identified a novel mechanism in which ITGA2 plays a crucial role in the regulation of pancreatic cancer growth and invasion. This mechanism involves the upregulation of MET and PD-L1 expression in pancreatic cancer cells. Additionally, we found that increased expression of ITGA2 is associated with a poor prognosis in pancreatic cancer patients. Furthermore, ITGA2 also affects immune regulation in these patients. Therefore, targeting ITGA2 is an effective method to enhance the efficacy of checkpoint immunotherapy and prohibiting tumor growth against pancreatic cancer.

Pan-cancer analysis and experimental validation identify ndc1 as a potential immunological, prognostic and therapeutic biomarker in pancreatic cancer.

NDC1 is a transmembrane nucleoporin that participates in cell mitosis. In the field of oncology, NDC1 has shown its potential as a prognostic marker for multiple tumors. However, pan-cancer analysis of NDC1 to fully explore its role in tumors has not been performed and little is reported on its role in pancreatic cancers. In the present study, a pan-cancer analysis of NDC1 was performed using a bioinformatic approach. Survival analysis was performed by univariate Cox regression analysis and Kaplan-Meier survival analysis. Subsequently, the relationship between NDC1 and immune cell infiltration, TMB/MSI and drug sensitivity was analyzed. Moreover, the mechanism of NDC1 in pancreatic cancer were further analyzed by GSEA, GSVA. Finally, we conducted in vitro experiments including MTT, scratch, EdU, and apoptosis assays to explore the function of NDC1 in pancreatic cancer cells. High expression of NDC1 was demonstrated in 28 cancer types. Univariate Cox regression analysis revealed that NDC1 expression was closely associated with the survival outcome of 15 cancer types, and further Kaplan-Meier survival analysis showed negative associations with the progression-free survival in 14 cancers. In addition, a significant association between the NDC1 expression and immune cell infiltration in tumor microenvironment, immune-related genes, common tumor-regulatory and drug sensitivity was observed. Furthermore, NDC1 is abnormally expressed in pancreatic cancer, and is closely related to the prognosis of pancreatic cancer patients and chemosensitivity. The study reveals that NDC1 could be used as a potential immunological, prognostic and therapeutic target for pancreatic cancer.