scholarly journals Identification of genomic alterations and associated transcriptomic profiling reveal the prognostic significance of MMP14 and PKM2 in patients with pancreatic cancer

Aging ◽  
2020 ◽  
Vol 12 (18) ◽  
pp. 18676-18692
Author(s):  
Haiwei Wang ◽  
Xinrui Wang ◽  
Liangpu Xu ◽  
Yingying Lin ◽  
Ji Zhang ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Prognostic Significance ◽  
Genomic Alterations ◽  
Transcriptomic Profiling

The clinicopathological and prognostic significance of PD-L1 expression in pancreatic cancer: A meta-analysis

2018 ◽  
Vol 17 (2) ◽  
pp. 95-100 ◽  
Author(s):  
He-Li Gao ◽  
Liang Liu ◽  
Zi-Hao Qi ◽  
Hua-Xiang Xu ◽  
Wen-Quan Wang ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Meta Analysis ◽  
Prognostic Significance

The prognostic significance of lymph node metastasis and intrapancreatic perineural invasion in pancreatic cancer after curative resection

Surgery Today ◽  
1999 ◽  
Vol 29 (1) ◽  
pp. 16-22 ◽  
Author(s):  
Hideo Ozaki ◽  
Takehisa Hiraoka ◽  
Ryuji Mizumoto ◽  
Seiki Matsuno ◽  
Yoshiro Matsumoto ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Curative Resection ◽  
Perineural Invasion ◽  
Prognostic Significance ◽  
Node Metastasis

scholarly journals Comprehensive Analysis of E3 Ubiquitin Ligases Reveals Ring Finger Protein 223 as a Novel Oncogene Activated by KLF4 in Pancreatic Cancer

2021 ◽  
Vol 9 ◽  
Author(s):  
Lei Feng ◽  
Jieqing Wang ◽  
Jianmin Zhang ◽  
Jingfang Diao ◽  
Longguang He ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Transcriptional Activation ◽  
Prognostic Significance ◽  
Ring Finger ◽  
Ubiquitin Ligases ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
E3 Ubiquitin Ligases ◽  
E3 Ligases ◽  
Elevated Expression

Pancreatic cancer is one of the major malignancies and causes of mortality worldwide. E3 ubiquitin–protein ligases transfer activated ubiquitin from ubiquitin-conjugating enzymes to protein substrates and confer substrate specificity in cancer. In this study, we first downloaded data from The Cancer Genome Atlas pancreatic adenocarcinoma dataset, acquired all 27 differentially expressed genes (DEGs), and identified genomic alterations. Then, the prognostic significance of DEGs was analyzed, and eight DEGs (MECOM, CBLC, MARCHF4, RNF166, TRIM46, LONRF3, RNF39, and RNF223) and two clinical parameters (pathological N stage and T stage) exhibited prognostic significance. RNF223 showed independent significance as an unfavorable prognostic marker and was chosen for subsequent analysis. Next, the function of RNF223 in the pancreatic cancer cell lines ASPC-1 and PANC-1 was investigated, and RNF223 silencing promoted pancreatic cancer growth and migration. To explore the potential targets and pathways of RNF223 in pancreatic cancer, quantitative proteomics was applied to analyze differentially expressed proteins, and metabolism-related pathways were primarily enriched. Finally, the reason for the elevated expression of RNF223 was analyzed, and KLF4 was shown to contribute to the increased expression of RNF233. In conclusion, this study comprehensively analyzed the clinical significance of E3 ligases. Functional assays revealed that RNF223 promotes cancer by regulating cell metabolism. Finally, the elevated expression of RNF223 was attributed to KLF4-mediated transcriptional activation. This study broadens our knowledge regarding E3 ubiquitin ligases and signal transduction and provides novel markers and therapeutic targets in pancreatic cancer.

scholarly journals The prognostic value of modified Glasgow Prognostic Score in pancreatic cancer: a meta-analysis

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Huan Zhang ◽  
Dianyun Ren ◽  
Xin Jin ◽  
Heshui Wu
Keyword(s):  
Pancreatic Cancer ◽  
Prognostic Value ◽  
Close Association ◽  
Meta Analysis ◽  
Prognostic Score ◽  
Prognostic Significance ◽  
Glasgow Prognostic Score ◽  
Cochrane Library ◽  
Modified Glasgow Prognostic Score ◽  
High Level

Abstract Background Several studies were conducted to explore the prognostic value of modified Glasgow Prognostic Score (mGPS) in pancreatic cancer, which reported contradictory results. The purpose of this meta-analysis was to summarize and further investigate the correlation between mGPS and overall survival (OS) in pancreatic cancer. Methods A systematic literature search was performed in PubMed, EMBASE, ISI Web of Science, Cochrane library databases and OVID to identify eligible studies published from Jan 1, 2011 to June 20, 2020. Pooled hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) were used to detect the prognostic significance of mGPS in patients with pancreatic cancer. Results A total of 222 non-repetitive studies were identified, and 20 related studies that explored the association between survival outcomes and mGPS in pancreatic cancer patients were finally enrolled in this meta-analysis. The results showed a significant correlation between high level of mGPS and poor OS (HR = 1.50, 95% CI 1.20–1.89, P < 0.0001). Similar results were observed in the subgroup analyses based on the treatment regimen and research region. Conclusions Our study suggested the close association between poor prognosis and high level of mGPS, which will be helpful for future clinical applications in patients with pancreatic cancer.

Identifying the prognostic significance of genomic alterations in a real-world, EHR-derived clinico-genomic database (CGDB).

2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e24319-e24319
Author(s):  
Vineeta Agarwala ◽  
Daniel Backenroth ◽  
Gaurav Singal ◽  
Claire O'Connell ◽  
Gerald Li ◽  
...  
Keyword(s):  
Real World ◽  
Prognostic Significance ◽  
Genomic Alterations ◽  
Genomic Database

Prognostic significance of serum CA19-9 levels in resected pancreatic cancer

1996 ◽  
Vol 3 (1) ◽  
pp. 66-70
Author(s):  
Koji Fujimoto ◽  
Shunzou Koizumi ◽  
Satoru Nishimura ◽  
Satoaki Sakai ◽  
Yoshinori Nakamura ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Prognostic Significance

scholarly journals Prognostic significance of anti-diabetic medications in pancreatic cancer: A meta-analysis

Oncotarget ◽  
2017 ◽  
Vol 8 (37) ◽  
pp. 62349-62357 ◽  
Author(s):  
Dong-Chu Zhou ◽  
Hui Gong ◽  
Chong-Qing Tan ◽  
Jian-Quan Luo
Keyword(s):  
Pancreatic Cancer ◽  
Meta Analysis ◽  
Prognostic Significance

scholarly journals Prognostic Significance and Immune Infiltration of Microenvironment‐related Signatures in Pancreatic Cancer

2020 ◽  
Author(s):  
Qian Lu ◽  
Yu Zhang ◽  
Weihong Gu ◽  
Xinrong Ji ◽  
Zhong Chen
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Immune Cell ◽  
Differential Expression Analysis ◽  
Prognostic Significance ◽  
Ductal Adenocarcinoma ◽  
Immune Infiltration ◽  
Protein Protein Interaction ◽  
Tumor Tissues ◽  
Cox Analysis

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the highly fatal and most aggressive types of malignancies and accounts for the vast majority of Pancreatic Cancer (PC). Numerous studies have reported that the tumor microenvironment (TME) was significantly correlated with the oncogenesis, progress, and prognosis of various malignancies. Therefore, mining of TME-related genes is reasonably important to improve the overall survival (OS) of patients with PDAC. Methods: The Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) algorithm was applied to identify differential expressed genes (DEGs). Functional and pathway enrichment analyses, protein–protein interaction (PPI) network construction and module analysis, overall survival analysis and tumor immune estimation resource (TIMER) database analysis were then performed on DEGs. Results: Data analysis indicated that higher immune scores were correlated with better overall survival (P = 0.033). Differential expression analysis obtained 90 intersection genes influencing both stromal and immune scores. Among these intersection genes, CA9, EBI3, SPOCK2, WDFY4, CD1D and CCL22 were significantly correlated with OS in PDAC patients. Moreover, multivariate Cox analysis revealed that CA9, SPOCK2 and CD1D were the most significant prognostic genes, and were closely correlated with immune infiltration in TCGA cohort. Further analysis indicated that CD1D were significantly related with immune cell biomarkers for PDAC patients. Conclusions: In summary, our findings provide a more comprehensive insight into TME and show a list of prognostic immune associated genes in PDAC. However, further studies on these genes need to be performed to gain additional understanding of the association between TME and prognosis in PDAC.

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