Disorders noticed during development of pancreatic cancer: potential opportunities for early and effective diagnostics and therapy

Endoscopic Ultrasonography is a Promising Tool for Preoperative Prediction of the Operability of Pancreatic Carcinoma

This work discussed the efficiency of endoscopic ultrasonography (EUS) as a diagnostic modality for early detection of pancreatic cancer. The present study was constructed by doing imaging modalities EUS on 24 patients admitted to surgery department in the faculty of medicine with suspected pancreatic malignancy. Pancreatic cancer was found more in older ages above 55 years predominately in males coming from rural areas presenting with abdominal pain with or without jaundice. Histopathological examination revealed that ductal adenocarcinoma represented by 70.83% of cases. This study also shows significant elevation in serum CA19-9 in the presenting cases to confirm a close relation between cancer pancreas and CA19-9 as a good biochemical marker for PC. EUS was found to be able to detect masses less than 20 mm in diameter. Moreover, EUS can accurately detect the mass nature. EUS showed correct information as regards lymph node involvement and vascular invasion which affected the results of respectability of pancreatic masses. Finally, this study clearly showed that EUS is an accurate pre-operative tool in the assessment of nodal staging, vascular invasion, and respectability in patients with pancreatic adenocarcinoma.

Construction of a 6-gene prognostic signature to assess prognosis of patients with pancreatic cancer

Pancreatic cancer (PaCa) is one of the most fatal cancers in the world. Although great efforts have made to explore the mechanisms of PaCa oncogenesis, the prognosis of PaCa patients is still unsatisfactory. Thus, it is imperative to further understand the potential carcinogenesis of PaCa and reliable prognostic models.The gene expression profile and clinical information of GSE21501 were downloaded from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was applied to explore the potent genes associated with the overall survival (OS) events of PaCa patients. Cox regression model was applied to selecting prognostic genes and establish prognostic model. The prognostic values of six-gene signature were validated in TCGA-PAAD cohort.According to the WGCNA analysis, a total of 19 modules were identified and 115 hub genes in the mostly associated module were reserved for next analysis. According to the univariate and multivariate Cox regression analysis, we established a six-gene signature (FTSJ3, STAT1, STX2, CDX2, RASSF4, MACF1) which could effectively evaluate the overall survival (OS) of PaCa patients. In validated patients' cohorts, the six-gene signature exhibited excellent prognostic value in TCGA-PAAD cohort as well.We developed a six-gene signature to exactly predict OS of PaCa patients and provide a novel personalized strategy for evaluating prognosis. The findings may be contributed to medical customization and therapeutic decision in clinical practice.

Impact of mirna-21 on survival prognosis in patients with pancreatic cancer: A protocol for systematic review and meta-analysis

BACKGROUND

Previous studies have reported that microRNA-21 (mRNA-21) has an effect on the prognosis of pancreatic cancer. However, the conclusion is still unclear. Therefore, this study will try to explore the effect of high expression of mRNA-21 on the prognosis of pancreatic cancer.

METHODS

Retrieved the database, including the China National Knowledge Infrastructure (CNKI), Chinese Biomedical literature Database (CBM), Chinese Scientific and Journal Database (VIP), Wan Fang database, PubMed, and EMBASE. Hazard ratios (HRs) and its 95% confidence intervals (CIs) to assess the prognostic effect of miRNA-21 on overall survival (OS) and disease-free survival (DFS). RevMan 5.3 and STATA 16.0 software were used to perform the meta-analysis.

RESULTS

This study will comprehensively review and evaluate the available evidence of high expression of miRNA-21 on the prognosis of patients with pancreatic cancer.

CONCLUSION

Our findings will show the effect of high expression of miRNA-21 on the prognosis of patients with pancreatic cancer. Such studies may find a new prognostic marker for patients with pancreatic cancer and help clinicians and health professionals make clinical decisions.

ETHICS AND DISSEMINATION

The private information from individuals will not publish. This systematic review also will not involve endangering participant rights. Ethical approval is not available. The results may be published in a peer- reviewed journal or disseminated in relevant conferences.

OSF REGISTRATION NUMBER

DOI 10.17605/OSF.IO/2A6KJ.

Prognostic Usefulness Of Advanced Lung Cancer Inflammation Index In Locally-Advanced Pancreatic Carcinoma Patients Treated With Radical Chemoradiotherapy

Background/Aims

Previously advanced lung cancer inflammation index (ALI) has been demonstrated to have prognostic utility in the stratification of patients into distinctive survival groups, but the prognostic value of ALI has never been explored in the setting of locally advanced pancreatic carcinomas (LAPC) treated with concurrent chemoradiotherapy (CCRT). Hence, we aimed to investigate the prognostic value of pre-treatment ALI in LAPC patients who underwent radical CCRT.

Methods

Present retrospective cohort analysis incorporated 141 LAPC patients who received radical CCRT. Accessibility of baseline ALI cutoff(s) impacting survival outcomes was sought by receiver operating characteristic (ROC) curve analysis. Interaction between the ALI and overall- (OS) and progression-free survival (PFS) comprised our primary and secondary endpoints, respectively.

Results

At a median follow-up of 14.4 months (range: 3.2–74.2), the median PFS and OS were 7.5 (%95 CI: 5.9–9.1) and 14.6 months (%95 CI: 11.6–17.6), respectively. ROC curve analyses set the ideal ALI cutoff value at 25.3 (AUC: 75.6%; sensitivity: 72.7%; specificity: 70.3%) that exhibited significant associations with both the OS and PFS results. Patient stratification into two groups per ALI [≤25.3 (N=75) versus>25.3 (N=66)] showed that the ALI>25.3 group had significantly superior median OS (25.8 versus 11.4 months; P<0.001) and PFS (15.9 versus 6.0 months; P<0.001) durations than its ALI≤25.3 counterpart. Other factors exhibiting significantly better OS and PFS rates were N₀ stage (versus N1; P<0.05 for each endpoint) and CA 19-9 ≤90 U/mL (versus >90 U/mL; P<0.05 for each endpoint), respectively. These three factors were additionally asserted to be independent indicators of longer OS (P<0.05 for each) and PFS (P<0.05 for each) in multivariate analyses.

Conclusion

Results of this hypothesis-generating research proposed the pre-CCRT ALI as a novel robust associate of OS and PFS outcomes for LAPC patients undergoing CCRT.

Exploring Signaling Pathways and Pancreatic Cancer Treatment Approaches Using Genetic Models

Despite available treatment options, the overall survival rates of pancreatic cancer patients remain dismal. Multiple counter-regulatory pathways have been identified and shown to be involved in interfering with the efficacy of therapeutic agents. In addition, various known genetic alterations in the cellular signaling pathways have been implicated in affecting the growth and progression of pancreatic cancer. Nevertheless, the significance of other unknown pathways is yet to be explored, which provides the rationale for the intervention of new approaches. Several experimental genetic models have been explored to define the impact of key signaling cascades, and their mechanisms in the pathophysiology as well as treatment approaches of pancreatic cancer. The current review highlights the recent updates, and significance of such genetic models in the therapeutic efficacy of anti-tumor agents including the standard chemotherapeutic agents, natural products, cell signaling inhibitors, immunebased therapies and the combination of these approaches in pancreatic cancer.

Clinical utilization of serum- or plasma-based miRNAs as early detection biomarkers for pancreatic cancer: A meta-analysis up to now

BACKGROUND

Pancreatic cancer (PC) is a lethal disease, however current screening methods unable to achieve early diagnosis. Blood-based microRNAs (miRNAs) are promising molecular biomarkers for detecting PC. This meta-analysis summaries studies identifying serum- or plasma-based miRNAs dysregulated in PC patients compared to non-PC cases to evaluate their diagnostic accuracy for characterizing PC.

METHODS

A systematically reviews and meta-analysis of published studies was conducted to compare the serum or plasma miRNAs expressions between PC patients and non-PC cases. Summary estimates for sensitivity, specificity, along with other measures of accuracy of miRNAs in the diagnosis of PC were pooled using the random-effects model. I and Q tests were used to assess the heterogeneity of included studies. The Spearman test was used to analyze the threshold effect.

RESULTS

Twenty-seven eligible studies were identified after electronic search and literature selection. For single miRNA dysregulation, 32 miRNAs were found to be upregulated in PC patients, and 5 miRNAs were downregulated. Four studies identified a 2-miRNA panel, and 10 studies identified a panel consisting of 3 or more miRNAs which were used to detect PC patients. Additionally, 8 studies combined miRNA panels and carbohydrate antigen 19-9 (CA 19-9) to diagnose PC. The pooled sensitivities for these 4 groups were 0.77 to 0.85, and specificities were 0.70 to 0.87. The highest area under the curve (AUC), 0.9308, was identified using 2 miRNA panels with sensitivity and specificity of 0.79 (0.74-0.83) and 0.85 (0.81-0.89), respectively. There was great heterogeneity of these 4 miRNA groups. Results of Spearman test revealed that there existed a threshold effect on single miRNA group (r=-0.437, P=.001), and none of the other groups (P all>.05).

CONCLUSIONS

Serum- or plasma-based miRNAs are capable of distinguishing PC from non-PC with relatively high sensitivity and specificity. In future, miRNAs may be used as promising diagnostic biomarkers for detection of PC.