Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers worldwide; it develops in a relatively symptom-free manner, leading to rapid disease progression and metastasis, leading to a 5-year survival rate of less than 5%. A lack of dependable diagnostic markers and rapid development of resistance to conventional therapies are among the problems associated with management of the disease. A better understanding of pancreatic tumour biology and discovery of new potential therapeutic targets are important goals in pancreatic cancer research. This study describes the comparative quantitative LC-MS/MS proteomic analysis of the membrane-enriched proteome of 10 human pancreatic ductal adenocarcinomas, 9 matched adjacent-normal pancreas and patient-derived xenografts (PDXs) in mice (10 at F1 generation and 10 F2). Quantitative label-free LC-MS/MS data analysis identified 129 proteins upregulated, and 109 downregulated, in PDAC, compared to adjacent-normal tissue. In this study, analysing peptide MS/MS data from the xenografts, great care was taken to distinguish species-specific peptides definitively derived from human sequences, or from mice, which could not be distinguished. The human-only peptides from the PDXs are of particular value, since only human tumour cells survive, and stromal cells are replaced during engraftment in the mouse; this list is, therefore, enriched in tumour-associated proteins, some of which might be potential therapeutic or diagnostic targets. Using human-specific sequences, 32 proteins were found to be upregulated, and 113 downregulated in PDX F1 tumours, compared to primary PDAC. Differential expression of CD55 between PDAC and normal pancreas, and expression across PDX generations, was confirmed by Western blotting. These data indicate the value of using PDX models in PDAC research. This study is the first comparative proteomic analysis of PDAC which employs PDX models to identify patient tumour cell-associated proteins, in an effort to find robust targets for therapeutic treatment of PDAC.

Herein, we describe the global comparison of miRNAs in human pancreatic cancer tumors, adjacent normal tissue, and matched patient-derived xenograft models using microarray screening. RNA was extracted from seven tumor, five adjacent normal, and eight FI PDX tumor samples and analyzed by Affymetrix GeneChip miRNA 4.0 array. A transcriptome analysis console (TAC) was used to generate comparative lists of up- and downregulated miRNAs for the comparisons, tumor vs. normal and F1 PDX vs. tumor. Particular attention was paid to miRNAs that were changed in the same direction in both comparisons. We identified the involvement in pancreatic tumor tissue of several miRNAs, including miR4534, miR3154, and miR4742, not previously highlighted as being involved in this type of cancer. Investigation in the parallel mRNA and protein lists from the same samples allowed the elimination of proteins where altered expression correlated with corresponding mRNA levels and was thus less likely to be miRNA regulated. Using the remaining differential expression protein lists for proteins predicted to be targeted for differentially expressed miRNA on our list, we were able to tentatively ascribe specific protein changes to individual miRNA. Particularly interesting target proteins for miRs 615-3p, 2467-3p, 4742-5p, 509-5p, and 605-3p were identified. Prominent among the protein targets are enzymes involved in aldehyde metabolism and membrane transport and trafficking. These results may help to uncover vulnerabilities that could enable novel approaches to treating pancreatic cancer.

Pancreatic cancer is a highly lethal disease. Therapeutic resistance to chemotherapy is a major cause of treatment failure and recurrence in pancreatic cancer. Organoids derived from cancer stem cells (CSC) are promising models for the advancement of personalised therapeutic responses to inform clinical decisions. However, scaling-up of 3D organoids for high-throughput screening is time-consuming and costly. Here, we successfully developed organoid-derived cell lines (2.5D) from 3D organoids; the cells were then expanded and recapitulated back into organoids known as cell line organoids (CLOs). The 2.5D lines were cultured long term into 2D established cell lines for downstream comparison analysis. Experimental characterisation of the models revealed that the proliferation of CLOs was slightly faster than that of parental organoids. The therapeutic response to chemotherapeutic agents in 3D CLOs and organoids showed a similar responsive profile. Compared to 3D CLOs and organoids, 2D cell lines tended to be less responsive to all the drugs tested. Stem cell marker expression was higher in either 3D CLOs or organoids compared to 2D cell lines. An in vivo tumorigenicity study found CLOs form tumours at a similar rate to organoids and retain enhanced CSC marker expression, indicating the plasticity of CSCs within the in vivo microenvironment.

KH-type splicing regulatory protein (KHSRP) is a multifunctional nucleic acid binding protein implicated in key aspects of cancer cell biology: inflammation and cell-fate determination. However, the role KHSRP plays in colorectal cancer (CRC) tumorigenesis remains largely unknown. Using a combination of in silico analysis of large datasets, ex vivo analysis of protein expression in patients, and mechanistic studies using in vitro models of CRC, we investigated the oncogenic role of KHSRP. We demonstrated KHSRP expression in the epithelial and stromal compartments of both primary and metastatic tumors. Elevated expression was found in tumor versus matched normal tissue, and we validated these findings in larger independent cohorts in silico. KHSRP expression was a prognostic indicator of worse overall survival (HR=3.74, 95% CI = 1.43-22.97, p=0.0138). Mechanistic data in CRC cell line models supported a role of KHSRP in driving epithelial cell proliferation in both a primary and metastatic setting, through control of the G1/S transition. Additionally, KHSRP promoted a pro-angiogenic extracellular environment by regulating the secretion of oncogenic proteins involved in diverse cellular processes such as migration and response to cellular stress. Our study provides novel mechanistic insight into the tumor-promoting effects of KHSRP in CRC.

PurposeTo explore the molecular mechanisms underlying severe aqueous-deficient dry eye disease (ADDED) secondary to primary Sjögren’s syndrome (pSS) and chronic ocular graft-versus-host disease (GvHD), focusing on conjunctival epithelial cell (CEC) microRNA expression in disease and response to therapy.MethodsPatients with severe ADDED secondary to pSS or chronic ocular GvHD and matched healthy controls were enrolled (n=8). Patients received ciclosporin A (CsA) 0.1% cationic emulsion (CE) daily for six months, with supplementary treatments as needed. Baseline and follow-up assessments (one, three, and six months) included visual acuity, Schirmer’s I test, tear break-up time (TBUT), ocular surface staining (OSS), and Ocular Surface Disease Index (OSDI). CECs underwent microRNA profiling via Affymetrix microarrays, and tear cytokines were analysed using 10-plex ELISA. MicroRNA analysis utilized R-based tools and pathway enrichment analysis.Results CsA 0.1% CE significantly improved clinical and patient reported outcome measures. Tear cytokine concentrations demonstrated downward trends over the treatment period. Three upregulated microRNA, miR-4484, miR-6126 and miR-7107-5p were identified and linked to immune and fibrotic pathways via TGF-β/SMAD2 and CDH11. Despite clinical improvements, microRNA elevation persisted, indicating limited molecular response to treatment.ConclusionCsA 0.1% CE led to an improvement in objective and subjective clinical parameters, however, minimally impacted epigenetic markers. The persistent dysregulation suggests that targeting molecular mediators, such as the TGF-β/SMAD2 pathway or CDH11, are required for comprehensive disease management. These upregulated microRNA offer novel insights into the pathogenesis of ADDED and identify promising avenues for future research and therapeutic innovation.

MicroRNAs (miRNAs) regulate approximately one-third of all human genes. The dysregulation of miRNAs has been implicated in the development of numerous human diseases, including cancers. In our investigation focusing on altering specific miRNA expression in human pancreatic cancer cells, we encountered an interesting finding. While two expression vector designs effectively enhanced miR-708 levels, they were unable to elevate mature forms of miR-29b, -1290, -2467, and -6831 in pancreatic cancer cell lines. This finding was also observed in a panel of other non-pancreatic cancer cell lines, suggesting that miRNA processing efficiency was cell line specific. Using a step-by-step approach in each step of miRNA processing, we ruled out alternative strand selection by the RISC complex and transcriptional interference at the primary miRNA (pri-miRNA) level. DROSHA processing and pri-miRNA export from the nucleus also appeared to be occurring normally. We observed precursor (pre-miRNA) accumulation only in cell lines where mature miRNA expression was not achieved, suggesting that the block was occurring at the pre-miRNA stage. To further confirm this, synthetic pre-miRNA mimics that bypass DICER processing were processed into mature miRNAs in all cases. This study has demonstrated the distinct behaviours of different miRNAs with the same vector in the same cell line, the same miRNA between the two vector designs, and with the same miRNA across different cell lines. We identified a stable vector pre-miRNA processing block. Our findings on the structural and sequence differences between successful and non-successful vector designs could help to inform future chimeric miRNA design strategies and act as a guide to other researchers on the intricate processing dynamics that can impact vector efficiency. Our research confirms the potential of miRNA mimics to surmount some of these complexities.