Epidemiology of pancreatic cancer

Long non-coding RNAs in pancreatic cancer

This article reviews the recent advances in pathogenesis, diagnosis and treatment of pancreatic cancer, as well as the relationship between long non-coding RNA (lncRNA) in disease progression. Unfortunately, pancreatic cancer has no early symptoms and quickly invades surrounding tissue and organs, making it one of the deadliest. Accordingly, we urgently need to identify high-risk individuals with precancerous lesions through screening methods to identify early disease, provide better prevention strategies and improve overall survival. LncRNAs have a variety of biological functions in both physiologic and pathophysiologic states including tumor growth, differentiation and proliferation. Herein we review the biological functions, expression patterns, clinical significance and targeted therapy potential of lncRNAs to provide new approaches for diagnosis and treatment in pancreatic cancer.

Looking Beyond Checkpoint Inhibitor Monotherapy: Uncovering New Frontiers for Pancreatic Cancer Immunotherapy

Pancreatic ductal adenocarcinoma (PDAC) stands out as one of the most aggressive and challenging tumors, characterized by a bleak prognosis with a mere 11% survival rate over 5 years in the United States. Its formidable nature is primarily attributed to its highly aggressive behavior and poor response to existing therapies. PDAC, being notably resistant to immune interventions, presents a significant obstacle in treatment strategies. While immune checkpoint inhibitor therapies have revolutionized outcomes for various cancers, their efficacy in PDAC remains exceedingly low, benefiting less than 1% of patients. The consistent failure of these therapies in PDAC has prompted intensive investigation, particularly at the preclinical level, to unravel the intricate mechanisms of resistance inherent in this cancer type. This pursuit aims to pave the way for the development of novel immunotherapeutic strategies tailored to the distinct characteristics of PDAC. This review endeavors to provide a comprehensive exploration of these emerging immunotherapy approaches in PDAC, with a specific emphasis on elucidating their underlying immunological mechanisms. Additionally, it sheds light on the recently identified factors driving resistance to immunotherapy and evasion of the immune system in PDAC, offering insights beyond the conventional drivers that have been extensively studied.

A Triple-Mismatch Differentiating assay exploiting activation and trans cleavage of CRISPR-Cas12a for mutation detection with ultra specificity and sensitivity

Liquid biopsy technology is non-invasive and convenient, and is currently an emerging technology for cancer screening. Among them, clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR associated protein 12a (Cas12a) based nucleic acid detection technology has the advantages of high sensitivity, rapidity, and easy operation. However, CRISPR-Cas12a does not discriminate single-base mismatches of targets well enough to meet the needs of clinical detection. Herein, we developed the Triple-Mismatch Differentiating (TMD) assay. This assay amplified the small thermodynamic difference in mismatches at one site at the level of CRISPR-Cas12a activation to a significant thermodynamic difference at three sites at both the level of CRISPR-Cas12a activation and trans-cleavage, which greatly improves the ability of CRISPR-Cas12a to discriminate between base mismatches. Our manipulation greatly improved the specificity of the CRISPR-Cas12a system while maintaining its inherent sensitivity and simplicity, increasing the detection limit to 0.0001%. When testing samples from pancreatic cancer patients, our results were highly consistent with NGS sequencing results. We believe that the TMD assay will provide a new technology for early cancer detection and will be widely used in the clinical practice.

MISP-mediated enhancement of pancreatic cancer growth through the Wnt/β-catenin signaling pathway is suppressed by Fisetin

Pancreatic cancer is a highly malignant tumor characterized by high mortality and low survival rates. The mitotic interactor and substrate of Plk1 (MISP) is a cancer-associated protein that regulates mitotic spindle localization and is highly expressed in several malignant tumors, contributing to tumor development. However, the function and regulatory mechanisms of MISP in pancreatic cancer remain unclear. In this study, we analyzed RNA sequencing data related to pancreatic cancer from the TCGA and GEO databases, identifying MISP as a potential prognostic marker for the disease. MISP was significantly upregulated in pancreatic cancer cells and tissues compared to normal pancreatic cells and tissues. Notably, in pancreatic cancer cells, high MISP protein expression promoted cell proliferation and growth. Mechanistically, the upregulation of MISP facilitated the nuclear accumulation of β-catenin, thereby activating the Wnt/β-catenin signaling pathway and promoting pancreatic cancer growth. In search of effective inhibitors of MISP expression, we screened an FDA-approved drug library and identified Fisetin as a potential suppressor of MISP expression. Fisetin was found to downregulate the transcription factor MYB, thereby reducing MISP expression. Further experiments demonstrated that Fisetin effectively inhibited the in vitro and in vivo growth of pancreatic cancer by suppressing the MISP/Wnt/β-catenin signaling axis. In summary, our research has identified MISP as a novel therapeutic target in pancreatic cancer and uncovered its associated regulatory mechanisms.

Unraveling the causal relationship between serum minerals and pancreatic cancer: a Mendelian randomization study

BACKGROUND

Pancreatic cancer is among the most lethal malignancies, characterized by a poor prognosis and limited modifiable factors. Emerging evidence indicates that serum mineral levels may influence the likelihood of developing pancreatic cancer. However, the causal relationship between serum minerals and pancreatic cancer remains unclear and warrants further investigation.

METHODS

This Mendelian randomization (MR) study was conducted to explore the causal effects of serum mineral levels on pancreatic cancer risk. Genetic variants associated with serum mineral levels, including calcium, iron, magnesium, zinc, selenium, and copper, were selected as instrumental variables (IVs) from large-scale genome-wide association study (GWAS) data. Multiple methods, including inverse variance weighting (IVW), MR-Egger, weighted median, weight methods, were employed to perform MR analysis. The effect sizes from the MR analysis, using two independent GWAS summary datasets related to pancreatic cancer, were combined through meta-analysis. The Cochrane Q test, MR-Egger intercept test, MR-PRESSO global test, and leave-one-out test were conducted for sensitivity tests.

RESULTS

Our MR analysis demonstrated a significant causal effect of genetically predicted serum calcium levels on increased pancreatic cancer risk [OR = 1.64, 95% CI 1.05-2.57, P = 0.029 (discovery cohort); OR = 1.52, 95% CI 1.07-2.15, P = 0.019 (validation cohort)], while no significant associations were found for other serum minerals (P > 0.05). Additional meta-analysis reinforces and substantiates this conclusion (pooled OR = 1.56, 95% CI 1.19-2.06, P = 0.001). No evidence of pleiotropy or heterogeneity was detected across multiple sensitivity tests (P > 0.05).

CONCLUSION

This study provides new evidence supporting the causal role of certain serum minerals, particularly calcium, in the development of pancreatic cancer. These findings may help inform future research into preventive strategies or therapies aimed at modulating mineral levels in patients at high risk of pancreatic cancer.

An integrative multi-omics analysis reveals a multi-analyte signature of pancreatic ductal adenocarcinoma in serum

BACKGROUND

Pancreatic ductal adenocarcinoma (PDAC) remains a formidable health challenge due to its detection at a late stage and a lack of reliable biomarkers for early detection. Although levels of carbohydrate antigen 19-9 are often used in conjunction with imaging-based tests to aid in the diagnosis of PDAC, there is still a need for more sensitive and specific biomarkers for early detection of PDAC.

METHODS

We obtained serum samples from 88 subjects (patients with PDAC (n = 58) and controls (n = 30)). We carried out a multi-omics analysis to measure cytokines and related proteins using proximity extension technology and lipidomics and metabolomics using tandem mass spectrometry. Statistical analysis was carried out to find molecular alterations in patients with PDAC and a machine learning model was used to derive a molecular signature of PDAC.

RESULTS

We quantified 1,462 circulatory proteins along with 873 lipids and 1,001 metabolites. A total of 505 proteins, 186 metabolites and 33 lipids including bone marrow stromal antigen 2 (BST2), keratin 18 (KRT18), and cholesteryl ester(20:5) were found to be significantly altered in patients. We identified different levels of sphingosine, sphinganine, urobilinogen and lactose indicating that glycosphingolipid and galactose metabolisms were significantly altered in patients compared to controls. In addition, elevated levels of diacylglycerols and decreased cholesteryl esters were observed in patients. Using a machine learning model, we identified a signature of 38 biomarkers for PDAC, composed of 21 proteins, 4 lipids, and 13 metabolites.

CONCLUSIONS

Overall, this study identified several proteins, metabolites and lipids involved in various pathways including cholesterol and lipid metabolism to be changing in patients. In addition, we discovered a multi-analyte signature that could be further tested for detection of PDAC.

SMS2 siRNA inhibits pancreatic tumor growth by tumor microenvironment modulation

The massive infiltration of suppressor immune cells within the tumor microenvironment (TME) of pancreatic ductal adenocarcinoma (PDAC) is a major cause of treatment resistance. Reducing this infiltration may represent a potentially effective therapeutic strategy. Sphingomyelin synthase 2 (SMS2) is a crucial enzyme for sphingomyelin synthesis, contributing significantly to the integrity and function of the plasma membrane. In this study, we developed a self-assembling SMS2 siRNA gene expression plasmid for in vivo delivery. The SMS2 siRNA specifically inhibits SMS2 expression while preserving the expression and activity of SMS1. Administration of the self-assembling SMS2 siRNA suppresses tumor growth in a murine model of Panc02 pancreatic carcinoma, modulates the polarization of tumor-associated macrophages (TAMs), and reduces the infiltration of tumor-associated neutrophils (TANs) by regulating the NF-κB/CXCL5 pathway. Consequently, utilizing SMS2 siRNA to improve the local immunosuppressive microenvironment holds promise for pancreatic cancer therapy.

A review of the last decade: pancreatic cancer and type 2 diabetes

Pancreatic cancer (PC) is a prevalent gastrointestinal tumour known for its high degree of malignancy, resulting in a mere 10% five-year survival rate for most patients. Over the past decade, a growing body of research has shed light on the intricate bidirectional association between PC and Type 2 diabetes (T2DM). The collection of PC- and T2DM-related articles is derived from two comprehensive databases, namely WOS (Web of Science Core Collection) and CNKI (China National Knowledge Infrastructure). This article discusses the last 10 years of research trends in PC and T2DM and explores their potential regulatory relationship as well as related medications.

Diagnostic and therapeutic strategies in pancreatic adenosquamous carcinoma: Molecular and clinical insights in managing metastatic disease

Adenosquamous carcinoma of the pancreas (ASCP) is a rare and aggressive variant of pancreatic cancer, characterized by both adenocarcinoma and squamous cell carcinoma components. It presents significant diagnostic and therapeutic challenges due to its atypical histology and poor prognosis. A 72-year-old male presented with abdominal pain, lighter-colored stools, and intermittent nausea. Initial imaging revealed a complex mass in the distal pancreatic body and tail. Elevated lipase levels and subsequent endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) suggested an atypical pancreatic lesion with keratinizing squamous cells. Further investigation through fiberoptic bronchoscopy and EBUS-guided transbronchial needle aspiration (TBNA) confirmed carcinoma with squamous differentiation. Genetic testing identified KRAS G12D and PIK3CA mutations. The multidisciplinary tumor board recommended systemic chemotherapy with mFOLFIRINOX and G-CSF support. The patient underwent twelve cycles of mFOLFIRINOX with dose adjustments for thrombocytopenia and effective management of chemotherapy-related side effects. Restaging CT scans showed a decrease in tumor size and stable metastatic nodes. The patient showed a partial biochemical response with decreasing CA 19-9 levels and disease stabilization on imaging. This case demonstrates the critical role of a multidisciplinary approach in managing rare pancreatic malignancies. ASCP requires a comprehensive diagnostic and therapeutic strategy involving advanced imaging, histopathological confirmation, and personalized chemotherapy. Integrating advanced diagnostic techniques, molecular profiling, and a multidisciplinary approach is essential for improving patient outcomes and providing comprehensive care for this challenging malignancy. Addressing the psychological aspects and offering compassionate care are vital for supporting patients through their treatment journey.

SPOCK: Master regulator of malignant tumors (Review)

SPARC/osteonectin, CWCV and Kazal‑like domain proteoglycan (SPOCK) is a family of highly conserved multidomain proteins. In total, three such family members, SPOCK1, SPOCK2 and SPOCK3, constitute the majority of extracellular matrix glycoproteins. The SPOCK gene family has been demonstrated to serve key roles in tumor regulation by affecting MMPs, which accelerates the progression of cancer epithelial‑mesenchymal transition. In addition, they can regulate the cell cycle via overexpression, inhibit tumor cell proliferation by inactivating PI3K/AKT signaling and have been associated with numerous microRNAs that influence the expression of downstream genes. Therefore, the SPOCK gene family are potential cancer‑regulating genes. The present review summarizes the molecular structure, tissue distribution and biological function of the SPOCK family of proteins, in addition to its association with cancer. Furthermore, the present review documents the progress made in investigations into the role of SPOCK, whilst also discussing prospects for the future of SPOCK‑targeted therapy, to provide novel ideas for clinical application and treatment.

Application of imaging technology for the diagnosis of malignancy in the pancreaticobiliary duodenal junction (Review)

The pancreaticobiliary duodenal junction (PBDJ) is the connecting area of the pancreatic duct, bile duct and duodenum. In a broad sense, it refers to a region formed by the head of the pancreas, the pancreatic segment of the common bile duct and the intraduodenal segment, the descending and the horizontal part of the duodenum, and the soft tissue around the pancreatic head. In a narrow sense, it refers to the anatomical Vater ampulla. Due to its complex and variable anatomical features, and the diversity of pathological changes, it is challenging to make an early diagnosis of malignancy at the PBDJ and define the histological type. The unique anatomical structure of this area may be the basis for the occurrence of malignant tumors. Therefore, understanding and subclassifying the anatomical configuration of the PBDJ is of great significance for the prevention and treatment of malignant tumors at their source. The present review comprehensively discusses commonly used imaging techniques and other new technologies for diagnosing malignancy at the PBDJ, offering evidence for physicians and patients to select appropriate examination methods.

Factors Influencing Immunotherapy Utilization in Stage IV Pancreatic Cancer: Impact of Race and Socioeconomics in the U.S

BACKGROUND

Pancreatic ductal adenocarcinoma (PDAC), a highly lethal cancer with a poor prognosis, is expected to become the second deadliest cancer in the United States by 2030. Despite advancements in treatment modalities, the survival rates of patients with PDAC have remained low. Immunotherapy has emerged as a promising treatment for various cancers; however, its utilization in PDAC has been limited due to various challenges, including resistance mechanisms and the advanced stage at which most patients are diagnosed.

METHODS

We analyzed data from the National Cancer Database (NCDB) from 2010 to 2017, focusing on the impact of race, insurance status, and socioeconomic factors among patients with stage IV PDAC using logistic regression analyses.

RESULTS

Among 109,663 patients with stage IV PDAC, 421 (0.38%) received immunotherapy. The recipients were younger (median age 63 vs. 68 years, p < 0.001) and more likely to be white (87.4% vs. 82.1%). Patients with private insurance or Medicare (p < 0.001), and those earning more than $60 k annually (51.0% vs. 36.4%, p < 0.001) were more likely to receive immunotherapy. Treatment was more likely in academic/research programs than in community cancer programs (53.0% vs. 33.4%, p < 0.001). On multivariate analysis, Black patients had lower odds of receiving immunotherapy than Caucasian patients (OR: 0.74 [95% CI: 0.601-0.882], p = 0.019). Higher income was also a significant predictor of immunotherapy utilization (highest vs. lowest income quartile: OR, 2.228 [95% CI: 1.422-3.491], p < 0.001).

CONCLUSIONS

This study revealed significant disparities in immunotherapy access for stage IV PDAC based on race, socioeconomic status, and geographic location in the United States, highlighting the need for intervention to promote equitable access to this promising treatment modality.

Adherence to the dietary approaches to stop hypertension (DASH) and risk of pancreatic steatosis

BACKGROUND

The Dietary Approach to Stop Hypertension (DASH) has shown positive effects on various health factors that may be related to pancreatic steatosis (PS). This study aimed to investigate the association between adherence to the DASH diet and the risk of developing PS.

METHODS

This case-control study was conducted on 278 patients diagnosed with gallstone disease and referred to Taleghani Hospital (Tehran, Iran). Among the participants, 89 were diagnosed with PS based on an endoscopic ultrasound (EUS) examination, while 189 patients did not exhibit this condition. The dietary intake of patients was assessed using a validated food frequency questionnaire (FFQ). Participants were classified based on the DASH diet score. Multiple logistic regression models estimated crude and multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

The mean ± SD of DASH score in PS patients and controls was 23.68 ± 4.38 and 25.27 ± 4.2, respectively (P = 0.006). The risk of PS in the highest tertile of DASH score was 64% lower than the lowest tertile (OR = 0.36, 95%CI: 0.17-0.75, P = 0.005) after full adjustment for confounders. Also, more intake of vegetables and whole grains and less intake of sodium, red and processed meat were each significantly associated with reduced risk of PS.

CONCLUSIONS

Our data prove that adherence to the DASH diet was associated with a lower risk of PS. Further prospective studies are warranted to confirm these associations and explore the underlying mechanisms.

Prediction of 12-month recurrence of pancreatic cancer using machine learning and prognostic factors

BACKGROUND AND AIM

Pancreatic cancer is lethal and prevalent among other cancer types. The recurrence of this tumor is high, especially in patients who did not receive adjuvant therapies. Early prediction of PC recurrence has a significant role in enhancing patients' prognosis and survival. So far, machine learning techniques have given us insight into favorable performance efficiency in various medical domains. So, this study aims to establish a prediction model based on machine learning to achieve better prediction on this topic.

MATERIALS AND METHODS

In this retrospective research, we used data from 585 PC patient cases from January 2019 to November 2023 from three clinical centers in Tehran City. Ten chosen ensemble and non-ensemble algorithms were used to establish prediction models on this topic.

RESULTS

Random forest and support vector machine with an AU-ROC of approximately 0.9 obtained more performance efficiency regarding PC recurrence. Lymph node metastasis, tumor size, tumor grade, radiotherapy, and chemotherapy were the best factors influencing PC recurrence.

CONCLUSION

Random forest and support vector machine algorithms demonstrated high-performance ability and clinical usability to improve doctors' decisions in achieving different therapeutic and diagnostic measures.

Investigation of the efficacy of siRNA-mediated KRAS gene silencing in pancreatic cancer therapy

Aim

Pancreatic carcinoma is an aggressive cancer that progresses without many symptoms. The difficulty of early diagnosis and an inadequate response to traditional treatments also cause the survival rate of pancreatic cancer to be low. Current research is focusing on methods of diagnosis and treatment, such as gene therapy, to increase survival rates. Small interfering ribonucleic acid (siRNA) has emerged as a promising advanced therapeutic strategy for cancer treatment. This study sought to silence the KRAS gene in the human pancreatic carcinoma cell line using a complex of small interfering ribonucleic acid (siRNA) and gold nanoparticles (AuNP).

Methods

In this study, 25 nM siRNA and gold nanoparticles at 0.5 mg/ml, 0.25 mg/ml, and 0.125 mg/ml concentrations were used to silence the KRAS gene in the CAPAN-1 cell line. Real-time PCR analysis, agarose gel electrophoresis, and double staining were carried out, and xCelligence real-time cell analysis (RTCA) was used to measure proliferation.

Results

The PCR analysis revealed crossing point (CP) values of actin beta (ACTB) ranging from 33.04 to 35.98, which was in the expected range for all samples. The interaction between the gold nanoparticle/siRNA complex in the double staining analysis revealed that the most effective concentration of gold nanoparticle was 0.125 mg/ml. The WST-1 technique showed that siRNA/AuPEI cells in application groups had a viability rate of over 90%, indicating no toxicity or side effects. The xCELLigence RTCA® showed that at hour 72, there was a significant difference in proliferation in the 0.5 mg/mL PEI/AuNP-siRNA, 0.25 mg/mL PEI/AuNP-siRNA, and 0.125 mg/mL PEI/AuNP-siRNA application groups compared to the control and siRNA groups (p < 0.05). By hour 96, all three groups were statistically different from the control and siRNA groups in terms of proliferation (p < 0.05).

Conclusions

The results of this analysis suggest that the AuPEI/siRNA complex can be effectively used to silence the target gene, but more studies are needed to verify these results.