Pancreatic Cancer Samples Research Articles

MiR-766-3p Inhibit the Proliferation, Stemness, and Cell Cycle of Pancreatic Cancer Cells Through the MAPK/ERK Signaling Pathway.

As a commonly identified cancer in clinics, pancreatic cancer (PC) has poor prognostic outcomes. This work focused on clarifying the association between MIR-766-3P expression and PC development and progression, as well as the possible role as a biomarker in PC. MIR-766-3P expression within the human PC cells and samples was measured through miRNA RT-PCR. The gene levels regulated by MIR-766-3P were analyzed through western blot (WB) and qRT-PCR. To analyze whether MIR-766-3P was of certain significance in invitro and invivo PC cell proliferation, stemness, and cell cycle progression, the gain/loss-of-function assays were performed. Bioinformatics, RNA sequencing (RNA-seq), and luciferase reporter assay were conducted for exploring regulatory role of MIR-766-3P/MAPK1/MAPK/ERK signal axis in PC. In comparison with the normal controls, MIR-766-3P expression markedly decreased the tissues and cells of PC. Furthermore, MIR-766-3P could remarkably inhibit the proliferation, stemness, cell cycle progression, and development of PC. The analyses using RNA-seq, and dual-luciferase examination showed that MIR-766-3P could directly target mitogen-activated protein kinase 1 (MAPK1). According to Gene Ontology (GO) as well as Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, MIR-766-3P could affect PC malignant phenotype by MAPK1 and the regulation of the MAPK/ERK-related pathway. MIR-766-3P has a certain impact on PC malignant phenotype through combining with MAPK1 while regulating MAPK/ERK-related pathway invitro and invivo.

A real-world study of first-line albumin-bound paclitaxel in the treatment of advanced pancreatic cancer in China

Objective: To observe and evaluate the clinical efficacy and safety of albumin-bound paclitaxel as first-line treatment for patients with advanced pancreatic cancer in China, and to explore the prognosis-related molecules in pancreatic cancer based on next-generation sequencing (NGS) of tumor tissues. Methods: From December 2018 to December 2020, patients with locally advanced or metastatic pancreatic cancer were recruited to accept albumin-bound paclitaxel as first-line treatment in the oncology departments of 24 hospitals in East China. The primary endpoints were overall survival (OS) and treatment related adverse events, and the secondary endpoint was progression-free survival (PFS). Adverse effects were graded using Common Terminology Criteria for Adverse Events 5.0 (CTCAE 5.0). NGS sequencing on the primary or metastatic tissue samples of pancreatic cancer obtained through surgical resection or biopsy was performed. Results: This study recruited 229 patients, including 70 patients with locally advanced pancreatic cancer (LAPC) and 159 patients with metastatic pancreatic cancer (mPC). The disease control rate was 79.9% and the objective response rate is 36.3%.The common adverse effects during treatment were anaemia (159 cases), leucopenia (170 cases), neutropenia (169 cases), increased aminotransferases (110 cases), and thrombocytopenia (95 cases), and the incidence of grade 3-4 neutropenia is 12.2% (28/229). The median follow-up time was 21.2 months (95% CI: 18.5-23.1 months). The median PFS (mPFS) was 5.3 months (95% CI: 4.37-4.07 months) and the median OS (mOS) was 11.2 months (95% CI: 9.5-12.9 months). The mPFS of patients with LAPC was 7.4 months (95% CI: 6.6-11.2 months), and their mOS was 15.5 months (95% CI: 12.6-NA months). The mPFS of patients with mPC was 3.9 months (95% CI: 3.4-5.1 months), and their mOS was 9.3 months (95% CI: 8.0-10.8 months). Multivariate Cox regression analysis showed that clinical stage (HR=1.47, 95% CI: 1.06-2.04), primary tumor site (HR=0.64, 95% CI: 0.48-0.86), Eastern Cooperative Oncology Group Performance Status (ECOG PS) score (HR=2.66, 95% CI: 1.53-4.65), and whether to combine radiotherapy (HR=0.65, 95% CI: 0.42-1.00) were independent influencing factors for the PFS of these patients. The primary tumor site (HR=0.68, 95% CI: 0.48-0.95), ECOG score (HR=5.82, 95% CI: 3.14-10.82), and whether to combine radiotherapy (HR=0.58, 95% CI: 0.35-0.96) were independent influencing factors of the OS of these patients. The most frequent gene mutations in these advanced stage pancreatic patients were KRAS (89.66%), TP53 (77.01%), CDKN2A (32.18%), and SMAD4 (21.84%) by NGS of tumor tissues from 87 pancreatic cancer patients with sufficient specimens. Further analysis revealed that mutations in CDKN2B, PTEN, FGF6, and RBBP8 genes were significantly associated with an increased risk of death (P＜0.05). Conclusion: Albumin-bound paclitaxel as first-line treatment demonstrated feasible anti-tumor efficacy and manageable safety for patients with advanced pancreatic cancer in China.

Enhanced tumoricidal activity of PD-1 antibody-secreting c-Met CAR-T cells against pancreatic cancer cells

To construct c-Met CAR-T cells secreting PD-1 antibodies to reduce immune inhibitory effect of tumor cells and enhance the efficacy of CAR-T cell therapy against pancreatic cancer. Kaplan-Meier Plotter, GEPIA, and Timer 2.0 bioinformatics databases were used to analyze c-Met expression in pancreatic cancer and its correlation with survival and immune infiltration status. In clinical samples of pancreatic cancer and pancreatic cancer Aspc-1 cells, c-Met and PD-L1 expressions were detected using immunohistochemistry or flow cytometry. Using gene editing technology, PD-1 secretory antibodies and HIS tags were linked to second-generation c-Met CAR molecules to construct PD-1/c-Met CAR plasmids, which were then packaged into lentiviruses for infection of activated T cells. The positive rate and cell subset distribution of CAR-T cells were analyzed with flow cytometry, and secretory PD-1 antibodies in cell supernatants were detected using Western blotting. The target cell killing efficiency and proliferative activity of the modified CAR-T cells were evaluated after activation, and cytokine secretion was analyzed using ELISA. The expression of c-Met was significantly higher in pancreatic cancer than in normal tissues, and its expression level was negatively correlated with the patients' survival and positively correlated with immune cell infiltration. The clinical samples of pancreatic cancer tissues expressed significantly higher levels of c-Met and PD-L1 than the adjacent tissues, and 90.7% and 57.7% of Aspc-1 cells were positive for c-Met and PD-L1, respectively. The constructed PD-1/c-Met CAR-T cells were capable of secreting PD-1 antibodies and showed a significantly higher killing efficiency against tumor cells than c-Met CAR-T cells at an effector-to-target ratio of 20: 1, with also a higher proliferative activity after target cell stimulation and higher levels of IL-2 and TNF-α secretin. PD-1/c-Met CAR-T cells have higher killing efficiency against pancreatic cancer cells with also higher proliferative activity than c-Met CAR-T cells.

Higher Expression of Talin-1 is Associated With Less Aggressive Tumor Behavior in Pancreatic Cancer.

Talin-1 is one of the major scaffold proteins in focal adhesions playing a vital role in cell migration, metastasis, and cancer progression. Although studies regarding the importance of Talin-1 in cancer have rapidly developed, its prognostic and diagnostic value still remain unsatisfying in pancreatic cancer (PC). Therefore, the present study aims to investigate the expression, clinical significance, as well as the prognostic and diagnostic value of Talin-1 in different types of PC. Bioinformatic analysis was applied to determine the clinical importance and biological role of Talin-1 expression in PC tumors and the normal adjacent samples. The expression patterns, clinical significance, prognosis, and diagnosis value of Talin-1 were evaluated in tissue microarrays (TMAs) of 190 PC samples including 170 pancreatic ductal adenocarcinoma (PDAC), and 20 pancreatic neuroendocrine tumors (PNET), along with 24 adjacent normal tissues using immunohistochemistry (IHC). The results indicated that the expression of Talin-1 was upregulated in tumor cells compared with adjacent normal tissues. A statistically significant association was observed between the higher cytoplasmic expression of Talin-1 and lower histologic grade ( P <0.001) in PDAC samples. Further, our findings indicated an inverse significant correlation between cytoplasmic expression of Talin-1 and recurrence ( P =0.014) in PNET samples. No significant association was observed between the cytoplasmic expression of Talin-1 and survival outcomes as well as diagnostic accuracy. In conclusion, our observations demonstrated that a higher cytoplasmic level of Talin-1 protein was significantly associated with less aggressive tumor behaviors in PC samples. Nevertheless, further investigations are required to explore the prognostic plus diagnostic value, and mechanism of action of Talin-1 in pancreatic cancer.

Early detection of pancreatic cancer by comprehensive serum miRNA sequencing with automated machine learning.

Pancreatic cancer is often diagnosed at advanced stages, and early-stage diagnosis of pancreatic cancer is difficult because of nonspecific symptoms and lack of available biomarkers. We performed comprehensive serum miRNA sequencing of 212 pancreatic cancer patient samples from 14 hospitals and 213 non-cancerous healthy control samples. We randomly classified the pancreatic cancer and control samples into two cohorts: a training cohort (N = 185) and a validation cohort (N = 240). We created ensemble models that combined automated machine learning with 100 highly expressed miRNAs and their combination with CA19-9 and validated the performance of the models in the independent validation cohort. The diagnostic model with the combination of the 100 highly expressed miRNAs and CA19-9 could discriminate pancreatic cancer from non-cancer healthy control with high accuracy (area under the curve (AUC), 0.99; sensitivity, 90%; specificity, 98%). We validated high diagnostic accuracy in an independent asymptomatic early-stage (stage 0-I) pancreatic cancer cohort (AUC:0.97; sensitivity, 67%; specificity, 98%). We demonstrate that the 100 highly expressed miRNAs and their combination with CA19-9 could be biomarkers for the specific and early detection of pancreatic cancer.

Lactylation stabilizes TFEB to elevate autophagy and lysosomal activity.

The transcription factor TFEB is a major regulator of lysosomal biogenesis and autophagy. There is growing evidence that posttranslational modifications play a crucial role in regulating TFEB activity. Here, we show that lactate molecules can covalently modify TFEB, leading to its lactylation and stabilization. Mechanically, lactylation at K91 prevents TFEB from interacting with E3 ubiquitin ligase WWP2, thereby inhibiting TFEB ubiquitination and proteasome degradation, resulting in increased TFEB activity and autophagy flux. Using a specific antibody against lactylated K91, enhanced TFEB lactylation was observed in clinical human pancreatic cancer samples. Our results suggest that lactylation is a novel mode of TFEB regulation and that lactylation of TFEB may be associated with high levels of autophagy in rapidly proliferating cells, such as cancer cells.

HTF4 modulates the transcription of GID2 to promote the malignant biological behavior of pancreatic cancer

BackgroundHelix-loop-helix transcription factor 4 (HTF4) as an anti-cancer target has been reported in many human cancers, but limited data exists regarding the effect of HTF4 in pancreatic cancer. In this study, we aimed to investigate the role of HTF4 in pancreatic cancer. MethodsThe expression levels of HTF4 in clinical pancreatic cancer samples were measured. HTF4 was knocked down or overexpressed in pancreatic cancer cells and was subsequently tested for bio-function using in vitro assays and in vivo. The regulation of HTF4 on GID2 was assessed via bioinformatic tools and dual-luciferase reporter assay. ResultsWe found that HTF4 was highly expressed in pancreatic cancer tissues and correlated with poor patient prognosis. In addition, knocking down HTF4 expression inhibited cell proliferation, migration, and invasion, whereas HTF4 overexpression exerted the opposite effect. Moreover, HTF4 promoted tumor growth and metastasis in pancreatic cancer. Further, HTF4 bound to the GID2 promoter region and promoted transcriptional activation of GID2 in pancreatic cancer cells. GID2 knockdown suppressed HTF4-induced malignant behaviors of pancreatic cancer cells. ConclusionsOur findings suggest that the HTF4/GID2 axis accelerates the progression of pancreatic cancer, providing a potential therapeutic target and prognostic indicator for the treatment of pancreatic cancer patients.

ZBTB7A interferes with the RPL5-P53 feedback loop and reduces endoplasmic reticulum stress-induced apoptosis of pancreatic cancer cells.

Endoplasmic reticulum (ER) stress is a primary mechanism leading to cell apoptosis, making it of great research interests in cancer management. This study delves into the function of ribosomal protein L5 (RPL5) in ER stress within pancreatic cancer (PCa) cells and investigates its regulatory mechanisms. Bioinformatics predictions pinpointed RPL5 as an ER stress-related gene exhibiting diminished expression in PCa. Indeed, RPL5 was found to be poorly expressed in PCa tissues and cells, with this reduced expression correlating with an unfavorable prognosis. Moreover, RPL5 overexpression led to heightened levels of p-PERK, p-eIF2α, and CHOP, bolstering the proapoptotic effect of Tunicamycin, an ER stress activator, on PCa cells. Additionally, the RPL5 overexpression curbed cell proliferation, migration, and invasion. Tunicamycin enhanced the binding between RPL5 and murine double minute 2 (MDM2), thus suppressing MDM2-mediated ubiquitination and degradation of P53. Consequently, P53 augmentation intensified ER stress, which further enhanced the binding between RPL5 and MDM2 through PERK-dependent eIF2α phosphorylation, thereby establishing a positive feedback loop. Zinc finger and BTB domain containing 7A (ZBTB7A), conspicuously overexpressed in PCa samples, repressed RPL5 transcription, thereby reducing P53 expression. Silencing of ZBTB7A heightened ER stress and subdued the malignant attributes of PCa cells, effects counteracted upon RPL5 silencing. Analogous outcomes were recapitulated in vivo employing a xenograft tumor mouse model, where ZBTB7A silencing dampened the tumorigenic potential of PCa cells, an effect reversed by additional RPL5 silencing. In conclusion, this study suggests that ZBTB7A represses RPL5 transcription, thus impeding the RPL5-P53 feedback loop and mitigating ER-induced apoptosis in PCa cells.

Immunohistochemical Assessment of HER3 Expression in Pancreatic Cancer

Pancreatic cancer (PC) is one of the most lethal tumor malignancies, which has a poor prognosis and can be the cause of death despite tumor removal. New molecular investigations for therapeutic purposes have shown the expression of HER3 in pancreatic adenocarcinoma. Family receptors HER3 play an effective role in malignancies such as lung and colon cancer. The aim of this study is to investigate the expression of HER3 in pancreatic cancer samples and the relationship between the expression of the receptor HER3 and the clinical complications of patients. Samples were taken from 75 patients with pancreatic cancer and subjected to immunohistochemical staining to evaluate the expression. Based on the intensity of staining, scores were assigned to each sample for HER3 receptor. Scores of +2 or +3 were defined as positive staining. The obtained data were analyzed using SPSS 16 software and Chi-square tests. P&lt;0.05 was considered statistically significant. The results showed the expression of HER3 in normal pancreatic tissue. The expression decreased from the early to late stage (p=0.05). Multivariate survival analysis showed that only stage had independent prognostic value (p=0.015). HER3 expressed in normal pancreatic tissue, but the expression is lost in pancreatic cancer. According to the study, it seems that targeted treatment in pancreatic cancer has no relationship with expression. Keywords EGFR, HER3, Pancreatic adenocarcinoma, Prognosis

Identification of m6A modification patterns and RBM15 mediated macrophage phagocytosis in pancreatic cancer: An integrative analysis

Pancreatic cancer (PC) responds weakly to conventional immunotherapy. RNA N6-methyladenosine (m6A) modification has an essential role in the immune response, while its potential role in PC tumor microenvironment (TME) immune cell infiltration remains unknown. In this study, we thoroughly assessed the m6A modification patterns of 472 PC samples using 19 m6A regulators, and we systematically correlated these modification patterns with TME immune cell infiltration characteristics. We also created the m6Ascore and evaluated the m6A modification patterns of individual tumors, identified three different m6A modification patterns, and explored the role of the important m6A “writer” RBM15 in the regulation of macrophage function in PC. Two independent PC cohorts confirmed that patients with higher m6Ascore showed significant survival benefit. We verified that knockdown of RBM15 has the ability to inhibit PC growth and to promote macrophage infiltration and enhance phagocytosis of PC cells by macrophages. In conclusion, m6A modifications play a non-negligible role in the formation of TME diversity and complexity in PC. We reveal that inhibition of RBM15 suppresses PC development and modulates macrophage phagocytosis, and provide a more effective immunotherapeutic strategy for PC.

E3 ubiquitin ligase UBR5 promotes gemcitabine resistance in pancreatic cancer by inducing O-GlcNAcylation-mediated EMT via destabilization of OGA.

Pancreatic cancer (PC) is among the deadliest malignancies, with an extremely poor diagnosis and prognosis. Gemcitabine (GEM) remains the first-line drug for treating PC; however, only a small percentage of patients benefit from current immunotherapies or targeted therapies. Resistance to GEM is prevalent and affects long-term survival. We found that ubiquitin-protein ligase E3 module N-recognition 5 (UBR5) is a therapeutic target against GEM resistance. UBR5 was markedly upregulated in clinical GEM-resistant PC samples and GEM-resistant PC cells. UBR5 knockdown markedly increased GEM sensitivity in GEM-resistant PC cell lines. UBR5-mediated GEM resistance was accompanied by activation of epithelial-mesenchymal transition (EMT) and could be mitigated by inhibiting EMT. Further analysis revealed that UBR5 promoted GEM resistance in PC cells by enhancing O-GlcNAcylation-mediated EMT. In addition, UBR5 knockdown resulted in increased O-GlcNAase (OGA) levels, an essential negatively regulated enzyme in the O-GlcNAcylation process. We identified a negative association between OGA and UBR5 levels, which further supported the hypothesis that O-GlcNAcylation-mediated GEM resistance induced by UBR5 is OGA-dependent in PC cells. Mechanistic studies revealed that UBR5 acts as an E3 ubiquitin ligase of OGA and regulates O-GlcNAcylation by binding and modulating OGA, facilitating its degradation and ubiquitination. Additionally, high-throughput compound library screening using three-dimensional protein structure analysis and drug screening identified a Food and Drug Administration drug, Y-39983 dihydrochloride, as a potent GEM sensitiser and UBR5 inhibitor. The combination of Y-39983 dihydrochloride and GEM attenuated tumour growth in a mouse xenograft tumour model. Collectively, these data demonstrated that UBR5 plays a pivotal role in the sensitisation of PC to GEM and provides a potential therapeutic strategy to overcome GEM resistance.

Dysbiosis Signature of Fecal Microbiota in Patients with Pancreatic Adenocarcinoma and Pancreatic Intraductal Papillary Mucinous Neoplasms.

Pancreatic cancer (PC) ranks as the seventh leading cause of cancer-related deaths, with approximately 500,000 new cases reported in 2020. Existing strategies for early PC detection primarily target individuals at high risk of developing the disease. Nevertheless, there is a pressing need to identify innovative clinical approaches and personalized treatments for effective PC management. This study aimed to explore the dysbiosis signature of the fecal microbiota in PC and potential distinctions between its Intraductal papillary mucinous neoplasm (IPMN) and pancreatic ductal adenocarcinoma (PDAC) phenotypes, which could carry diagnostic significance. The study enrolled 33 participants, including 22 diagnosed with PDAC, 11 with IPMN, and 24 healthy controls. Fecal samples were collected and subjected to microbial diversity analysis across various taxonomic levels. The findings revealed elevated abundances of Firmicutes and Proteobacteria in PC patients, whereas healthy controls exhibited higher proportions of Bacteroidota. Both LEfSe and Random Forest analyses indicated the microbiome's potential to effectively distinguish between PC and healthy control samples but fell short of differentiating between IPMN and PDAC samples. These results contribute to the current understanding of this challenging cancer type and highlight the applications of microbiome research. In essence, the study provides clear evidence of the gut microbiome's capability to serve as a biomarker for PC detection, emphasizing the steps required for further differentiation among its diverse phenotypes.

The scRNA-sequencing landscape of pancreatic ductal adenocarcinoma revealed distinct cell populations associated with tumor initiation and progression

Pancreatic ductal adenocarcinoma (PDAC) stands as a formidable malignancy characterized by its profound lethality. The comprehensive analysis of the transcriptional landscape holds immense significance in understanding PDAC development and exploring novel treatment strategies. However, due to the firm consistency of pancreatic cancer samples, the dissociation of single cells and subsequent sequencing can be challenging. Here, we performed single-cell RNA sequencing (scRNA-seq) on 8 PDAC patients with different lymph node metastasis status. We first identified the crucial role of MMP1 in the transition from normal pancreatic cells to cancer cells. The knockdown of MMP1 in pancreatic cancer cell lines decreased the expression of ductal markers such as SOX9 while the overexpression of MMP1 in hTERT-HPNE increased the expression of ductal markers, suggesting its function of maintaining ductal identity. Secondly, we found a S100A2+ tumor subset which fueled lymph node metastasis in PDAC. The knockdown of S100A2 significantly reduced the motility of pancreatic cancer cell lines in both wound healing and transwell migration assays. While overexpression of S100A2 led to increased migratory capability. Moreover, overexpression of S100A2 in KPC1199, a mouse pancreatic cancer cell line, caused a larger tumor burden in a hemi-spleen injection model of liver metastasis. In addition, epithelial-mesenchymal transition-related genes were decreased by S100A2 knockdown revealed by bulk RNA sequencing. We also identified several pivotal contributors to the pro-tumor microenvironment, notably OMD+ fibroblast and CCL2+ macrophage. As a result, our study provides valuable insights for early detection of PDAC and promising therapeutic targets for combatting lymph node metastasis.

The Molecular Characteristics and Therapeutic Implications of O-Glycan Synthesis in Pancreatic Cancer by Integrating Transcriptome and Single-Cell Data

Glycans constitute the primary components of proteins that regulate key carcinogenic processes in cancer progression. This study investigated the significance of O-glycan synthesis in the pathogenesis, outcome, and therapy of pancreatic cancer (PC). Transcriptomic data and clinical prognostic information of PC were acquired via TCGA and GEO databases. CSA database was used to obtain single-cell data of PC. The O-glycan biosynthesis signaling pathway and its related genes were acquired via the MSigDB platform. The nonnegative matrix factorization (NMF) clustering was utilized to construct the O-glycan biosynthesis-associated molecular subtypes in PC. The LASSO and Cox regression were utilized to build the prognostic prediction model. We utilized real-time quantitative PCR (qRT-PCR) to verify the expressed levels of model genes. Single-cell analysis was utilized to investigate the levels of target genes and O-glycan biosynthesis signaling pathway in the PC tumour microenvironment. : We obtained 30 genes related to O-glycan biosynthesis, among which 15 were associated with the prognosis of PC. All PC samples were grouped into two distinct molecular subtypes associated with O-glycan biosynthesis: OGRGcluster C1 and OGRGcluster C2, and compared to OGRGcluster C1. PCs in OGRGcluster C2 had a more advanced clinical stage and pathological grade, worse prognosis, and more active O-glycan biosynthesis function. Immune analysis indicated that naïve B cell, CD8+ T cell, memory-activated CD4+ T cell, and monocytes displayed remarkably higher infiltration levels in OGRGcluster C1 while resting NK cell, macrophages M0, resting dendritic cell, activated dendritic cell, and neutrophils exhibited markedly higher infiltration levels in OGRGcluster C2. OGRGcluster C1 exhibited higher sensitivities to drugs, such as cisplatin, irinotecan, KRAS(G12C) inhibitor-12, oxaliplatin, paclitaxel, and sorafenib. Besides, we built the O-glycan biosynthesis-related prognostic model (including SPRR1B, COL17A1, and ECT2) with a good prediction performance. SPRR1B, COL17A1, and ECT2 were remarkably highly expressed in PC tissues and linked to a poor outcome. Single-cell analysis revealed that O-glycan biosynthesis was observed only in PC, and consistent with this, the target genes were significantly enriched in PC. We first constructed molecular subtypes and prognostic models related to O-glycan biosynthesis in PC. It is clear that O-glycan biosynthesis is related to the development, prognosis, immune microenvironment, and treatment of PC. This provides new strategies for stratification, diagnosis, and treatment of PC patients.

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.

Abstract LB274: Nuclear transporter HIKESHI is a novel independent poor overall survival for pancreatic cancer; targeting can inhibit pancreatic cancer growth via HSP70 suppression

Abstract HIKESHI, under heat stress conditions, has been reported to transport molecular chaperone HSP70 into the nucleus to prevent cancer cell death from heat stress. The tumor-supporting roles of molecular chaperones in various solid tumors are explored extensively. Yet, the sole targeting of the molecular chaperones could not significantly impact anticancer treatment. Thus, we hypothesized that the specific transporter protein HIKESHI might improve this outcome. However, understanding of the clinical relevance of HIKESHI in pancreatic cancer remained unclear, and few studies addressed the HIKESHI role in cancer and whether targeting can inhibit pancreatic cancer cell viability and the other HSPs. Here, we first investigated the expression pattern of the HIKESHI protein in surgically resected pancreatic cancer samples (n=142) and analyzed the clinical relevance of the HIKESHI. We found that the HIKESHI protein was overexpressed in cancer compared to the adjacent normal tissue, and positive expression of cancer HIKESHI was related to poor overall survival. In addition, HIKESHI-positive expression in cancer was identified as an independent prognostic marker for overall survival. Next, using shRNA, we established the stable HIKESHI-suppressed pancreatic cancer cell line (PANC-1). HIKESHI suppression inhibited cell growth and colony formation ability in vitro. The expression and nuclear translocation of HSP70 and HSP110/105 were suppressed in HIKESHI-suppressed cells compared to the control shRNA cells despite no heat stress conditions. Furthermore, we found that the tumor growth, HIKESHI, and Ki67 expression in HIKESHI-suppressed tumors were inhibited compared to the control shRNA tumors. Next, we performed Cap Analysis of Gene Expression and IP-MS analysis to discover the potential downstream and novel interactive partner of the HIKESHI protein. The extensive mechanism of these analyses is under investigation. Our findings suggest that targeting HIKESHI may be a promising therapeutic strategy against refractory pancreatic cancer. Citation Format: Bilguun Erkhem-Ochir, Takehiko Yokobori, Gendensuren Dorjkhorloo, Haruka Okami, Takaomi Seki, Norifumi Harimoto, Ryo Muranushi, Kouki Hoshino, Kei Hagiwara, Norihiro Ishii, Mariko Tsukagoshi, Kenichiro Araki, Hiroshi Saeki, Ken Shirabe. Nuclear transporter HIKESHI is a novel independent poor overall survival for pancreatic cancer; targeting can inhibit pancreatic cancer growth via HSP70 suppression [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 LB274.

The high FKBP1A expression in WBCs as a potential screening biomarker for pancreatic cancer

Given the limitation of current routine approaches for pancreatic cancer screening and detection, the mortality rate of pancreatic cancer cases is still critical. The development of blood-based molecular biomarkers for pancreatic cancer screening and early detection which provide less-invasive, high-sensitivity, and cost-effective, is urgently needed. The goal of this study is to identify and validate the potential molecular biomarkers in white blood cells (WBCs) of pancreatic cancer patients. Gene expression profiles of pancreatic cancer patients from NCBI GEO database were analyzed by CU-DREAM. Then, mRNA expression levels of three candidate genes were determined by quantitative RT-PCR in WBCs of pancreatic cancer patients (N = 27) and healthy controls (N = 51). ROC analysis was performed to assess the performance of each candidate gene. A total of 29 upregulated genes were identified and three selected genes were performed gene expression analysis. Our results revealed high mRNA expression levels in WBCs of pancreatic cancer patients in all selected genes, including FKBP1A (p < 0.0001), PLD1 (p < 0.0001), and PSMA4 (p = 0.0002). Among candidate genes, FKBP1A mRNA expression level was remarkably increased in the pancreatic cancer samples and also in the early stage (p < 0.0001). Moreover, FKBP1A showed the greatest performance to discriminate patients with pancreatic cancer from healthy individuals than other genes with the 88.9% sensitivity, 84.3% specificity, and 90.1% accuracy. Our findings demonstrated that the alteration of FKBP1A gene in WBCs serves as a novel valuable biomarker for patients with pancreatic cancer. Detection of FKBP1A mRNA expression level in circulating WBCs, providing high-sensitive, less-invasive, and cost-effective, is simple and feasible for routine clinical setting that can be applied for pancreatic cancer screening and early detection.

IFIT1 modulates the proliferation, migration and invasion of pancreatic cancer cells via Wnt/β-catenin signaling.

Previously, Interferon-induced Protein with Tetratricopeptide Repeats 1 (IFIT1) has been shown to promote cancer development. Here, we aimed to explore the role of IFIT1 in the development and progression of pancreatic cancer, including the underlying mechanisms. We explored IFIT1 expression in pancreatic cancer samples using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. Cell Counting Kit-8 (CCK8), colony formation, scratch wound-healing and Transwell assays were performed to assess the proliferation, migration and invasion abilities of pancreatic cancer cells. Gene Set Enrichment Analysis (GSEA) and Western blotting were performed to assess the regulatory effect of IFIT1 on the Wnt/β-catenin pathway. We found that upregulation of IFIT1 expression is common in pancreatic cancer and is negatively associated with overall patient survival. Knockdown of IFIT1 expression led to decreased proliferation, migration and invasion of pancreatic cancer cells. We also found that IFIT1 could regulate Wnt/β-catenin signaling, and that a Wnt/β-catenin agonist could reverse this effect. In addition, we found that IFIT1 can promote epithelial-mesenchymal transition (EMT) of pancreatic cancer cells. Our data indicate that IFIT1 increases pancreatic cancer cell proliferation, migration and invasion by activating the Wnt/β-catenin pathway. In addition, we found that EMT could be regulated by IFIT1. IFIT1 may serve as a potential therapeutic target for pancreatic cancer.

Abstract 1023: Whole-genome methylation analysis using liquid biopsy for pancreatic cancer diagnosis

Abstract Objective: Pancreatic cancer is one of the highly malignant tumors. Its diagnosis requires invasive ultrasound endoscopic biopsy or endoscopic retrograde cholangiopancreatography (ERCP). However, these methods are limited by false-positive results and complications. Liquid biopsy, which uses blood to detect KRAS mutations in cancer, can be used to overcome these hurdles. However, only about 30% of cases can be detected as a diagnostic marker by KRAS mutations using plasma from patients with stage I-II pancreatic cancer, and its clinical application remains a challenge. Therefore, in this study, we focused on diagnosing pancreatic cancer using methylated DNA in plasma cell-free DNA (cfDNA) obtained from pancreatic cancer and non-cancer patients. Subjects: Plasma was collected before the start of the treatment from six patients diagnosed with pancreatic cancer from 2019 to 2023 at our hospital, and six non-cancer patients simultaneously. Methods: Whole-genome bisulfite sequencing (WGBS) using next-generation sequencing (NGS) was performed using the cfDNA obtained from the plasma of pancreatic cancer and non-cancer patients. Results: The cfDNA fragments obtained by WGBS revealed that promoter regions were mostly deleted, and no difference was observed between cancer and non-cancer patients. The methylation rate of cfDNA fragments by WGBS differed between cancer and non-cancer patients, with multiple methylation sites (&amp;gt;100 sites) in intergenic regions. Discussion: Although attempts have been made to diagnose cancer using genetic mutations and liquid biopsy, only a few studies are available on using methylation markers in the plasma cfDNA of pancreatic cancer patients, and the effectiveness of this method remains unclear. In the present study, we found that promoter regions were deleted by WGBS, and several distinct hypermethylated regions were present in the intergenic region between pancreatic cancer and non-cancer samples, suggesting the presence of certain markers that can distinguish between pancreatic cancer and non-cancer patients. Conclusion: This small number of cases suggests that hypermethylation of the intergenic regions could be helpful in the diagnosis of pancreatic cancer. We will need more cases in the future to verify the usefulness of hypermethylation of intergenic regions in the diagnosis of pancreatic cancer. Citation Format: Tomoaki Ito, Takuya Iwasawa, Satoshi Takeda, Chikako Okamoto, Tomoko Motohashi, Shuhei Ueda, Hisaki Kato, Riku Yamamoto, Akihiro Koizumi, Yuta Murai, Kosaku Nihei, Moe Itakura, Ryunosuke Akima, Mutsumi Sakurada, Kenichiro Tanaka, Tomoyuki Kushida, Koichi Sato. Whole-genome methylation analysis using liquid biopsy for pancreatic cancer diagnosis [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 1023.

Abstract 3651: Mutational analysis and spatial phenotyping to decipher racial disparities in pancreatic adenocarcinoma

Abstract Background: Pancreatic cancer has a 5-year survival of only 12%. This is due to the lack of effective treatments and virtually no early detection methods. To compound this already poor prognosis, African Americans face a 20% higher incidence and worse mortality compared to non-African American patients. With a substantial portion of the data and tools employed for studying pancreatic cancer failing to adequately represent this demographic we aim to gain more insight into the differences associated with worse outcomes for African Americans with pancreatic cancer. To achieve this, we conducted an in-depth analysis of tumor mutational burden using whole exome sequencing and the cutting-edge PhenoCycler®-Fusion 2.0 spatial biology platform, to uncover disparities in spatial immune and metabolic phenotypes. Methods: Using an ultrahigh-plex discovery panel of markers encompassing cell lineage, immune checkpoints, tissue architecture, activation, metabolism, proliferation, and stress, we sought to analyze the differences in spatial phenotypes, cellular neighborhoods and functional pathways across the two groups. Additionally, we performed laser capture microdissection on a cohort of patients containing equal numbers of African American and non-African American pancreatic cancer samples. Tumor, stroma, and adjacent normal areas were identified by a board-certified pathologist. These annotations were used to laser capture on 10-micron sections with 7 sections for each patient. We performed whole exome sequencing on these sections and different areas and compared between groups. Results: Through our investigation using these two technologies, we can find differences in the tumor microenvironment between African Americans and non-African Americans. We can see potential associations in the increased mortality and incidence of this group while also building a foundation of racially diverse data to be used for future studies. Whole exome sequencing has revealed distinct mutational patterns among African American patients, involving common genes that exhibit unique mutation profiles when compared to those previously observed in non-African American patients. Moreover, whole-slide spatial phenotyping reveals the differential tumor-immune landscapes and the key cellular and molecular niches that contribute to tumor progression and prognosis. These findings underscore the imperative need for a more systems biology exploration of the variations within these groups, with the aim of developing more effective and personalized treatment approaches. Citation Format: Daniel James Salas-Escabillas, Ning Ma, Bassem Ben Cheikh, Aditya Pratapa, Thais Pichardo, Kyra Langley, Julie Clark, Nina Steele, Niyati Jhaveri, David Kwon, Howard C. Crawford. Mutational analysis and spatial phenotyping to decipher racial disparities in pancreatic adenocarcinoma [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 3651.