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Lu J, Tan J, Yu X. A prognostic model based on tumor microenvironment-related lncRNAs predicts therapy response in pancreatic cancer. Funct Integr Genomics 2023; 23:32. [PMID: 36625842 DOI: 10.1007/s10142-023-00964-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 12/21/2022] [Accepted: 01/02/2023] [Indexed: 01/11/2023]
Abstract
Pancreatic cancer is an aggressive malignant tumor with high mortality and a low survival rate. The immune and stromal cells that infiltrate in the tumor microenvironment (TME) significantly impact immunotherapy and drug responses. Therefore, we identify the TME-related lncRNAs to develop a prognostic model for predicting the therapy efficacy in pancreatic cancer patients. Firstly, we identified differentially expressed genes (DEGs) for weighted gene co-expression network analysis (WGCNA) to identify the TME-related module eigengenes. According to the module eigengenes, the TME-related prognostic lncRNAs were screened through the univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox analyses to construct a prognostic risk score (RS) model. Next, the predictive power of this model was evaluated by the time-dependent receiver operating characteristic (ROC) curve and Kaplan-Meier analyses. In addition, functional enrichment, immune cell infiltration, and somatic mutation analyses were performed. Finally, tumor immune dysfunction and exclusion (TIDE) score and drug sensitivity analyses were applied to predict therapy response. In this study, 11 TME-related prognostic lncRNAs were identified to develop the prognostic RS model. According to the RS, the low-risk patients had a better prognosis, lower rates of somatic mutation, lower TIDE scores, and higher sensitivity to gemcitabine and paclitaxel compared to high-risk patients. The findings above suggested that low-risk patients may benefit more from immunotherapy, and high-risk patients may benefit more from chemotherapy. Within this study, we established a prognostic RS model based on 11 TME-related lncRNAs, which may help improve clinical decision-making.
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Affiliation(s)
- Jianzhong Lu
- School of Sciences, Shanghai Institute of Technology, Shanghai, 201418, China
| | - Jinhua Tan
- School of Sciences, Shanghai Institute of Technology, Shanghai, 201418, China
| | - Xiaoqing Yu
- School of Sciences, Shanghai Institute of Technology, Shanghai, 201418, China.
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Parlakpinar H, Gunata M. Transplantation and immunosuppression: a review of novel transplant-related immunosuppressant drugs. Immunopharmacol Immunotoxicol 2021; 43:651-665. [PMID: 34415233 DOI: 10.1080/08923973.2021.1966033] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Immunosuppressive drugs used in the transplantation period are generally defined as induction and maintenance therapy. The use of immunosuppressants, which are particularly useful and have fewer side effects, decreased both mortality and morbidity. Many drugs such as steroids, calcineurin inhibitors (cyclosporine-A, tacrolimus), antimetabolites (mycophenolate mofetil, azathioprine), and mTOR inhibitors (sirolimus, everolimus) are used as immunosuppressive agents. Although immunosuppressant drugs cause many side effects such as hypertension, infection, and hyperlipidemia, they are the agents that should be used to prevent organ rejection. This shows the importance of individualized drug use. The optimal immunosuppressive therapy post-transplant is not established. Therefore, discovering less toxic but more potent new agents is of great importance, and new experimental and clinical studies are needed in this regard.Our review discussed the mechanism of immunosuppressants, new agents' discovery, and current therapeutic protocols in the transplantation.
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Affiliation(s)
- Hakan Parlakpinar
- Department of Medical Pharmacology, Faculty of Medicine, Inonu University, Malatya, Turkey
| | - Mehmet Gunata
- Department of Medical Pharmacology, Faculty of Medicine, Inonu University, Malatya, Turkey
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Yang Q, Wang S, Dai E, Zhou S, Liu D, Liu H, Meng Q, Jiang B, Jiang W. Pathway enrichment analysis approach based on topological structure and updated annotation of pathway. Brief Bioinform 2017; 20:168-177. [DOI: 10.1093/bib/bbx091] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Indexed: 12/31/2022] Open
Affiliation(s)
- Qian Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Shuyuan Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Enyu Dai
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Shunheng Zhou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Dianming Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Haizhou Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Qianqian Meng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Bin Jiang
- College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China
| | - Wei Jiang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
- College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China
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Microarray-based gene expression profiling reveals genes and pathways involved in the oncogenic function of REG3A on pancreatic cancer cells. Gene 2016; 578:263-73. [DOI: 10.1016/j.gene.2015.12.039] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2015] [Revised: 10/18/2015] [Accepted: 12/16/2015] [Indexed: 01/05/2023]
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Han DY, Fu D, Xi H, Li QY, Feng LJ, Zhang W, Ji G, Xiao JC, Wei Q. Genomic expression profiling and bioinformatics analysis of pancreatic cancer. Mol Med Rep 2015; 12:4133-4140. [PMID: 26062681 PMCID: PMC4526101 DOI: 10.3892/mmr.2015.3917] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2014] [Accepted: 05/13/2015] [Indexed: 12/20/2022] Open
Abstract
Pancreatic cancer is a polygenic disease and the fourth leading cause of cancer-associated mortality worldwide; however, the tumorigenesis of pancreatic cancer remains poorly understood. Research at a molecular level, which includes the exploration of biomarkers for early diagnosis and specific targets for therapy, may effectively aid in the diagnosis of pancreatic cancer in its early stages and in the development of targeted molecular-biological approaches for treatment, thus improving prognosis. By conducting expression profiling in para-carcinoma, carcinoma and relapse of human pancreatic tissues, 319 genes or transcripts with differential expression levels >3-fold between these tissue types were identified. Further analysis with Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes demonstrated that the translation, nucleus assembly processes and molecular functions associated with vitamin B6 and pyridoxal phosphate binding in pancreatic carcinoma were abnormal. Pancreatic cancer was additionally identified to be closely associated with certain autoimmune diseases, including type I diabetes mellitus and systemic lupus erythematosus.
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Affiliation(s)
- Dong-Yan Han
- Department of Pathology, Shanghai Tenth People's Hospital, Shanghai 200072, P.R. China
| | - Da Fu
- Department of Pathology, Shanghai Tenth People's Hospital, Shanghai 200072, P.R. China
| | - Hao Xi
- Department of Pathology, Shanghai Tenth People's Hospital, Shanghai 200072, P.R. China
| | - Qian-Yu Li
- Department of Pathology, Shanghai Tenth People's Hospital, Shanghai 200072, P.R. China
| | - Li-Jin Feng
- Department of Pathology, Shanghai Tenth People's Hospital, Shanghai 200072, P.R. China
| | - Wei Zhang
- Department of Pathology, Shanghai Tenth People's Hospital, Shanghai 200072, P.R. China
| | - Guo Ji
- Department of Pathology, Shanghai Tenth People's Hospital, Shanghai 200072, P.R. China
| | - Jia-Cheng Xiao
- Department of Pathology, Shanghai Tenth People's Hospital, Shanghai 200072, P.R. China
| | - Qing Wei
- Department of Pathology, Shanghai Tenth People's Hospital, Shanghai 200072, P.R. China
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Differential expression profiling of microRNAs in para-carcinoma, carcinoma and relapse human pancreatic cancer. Clin Transl Oncol 2014; 17:398-408. [PMID: 25387567 DOI: 10.1007/s12094-014-1249-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2014] [Accepted: 10/13/2014] [Indexed: 10/24/2022]
Abstract
PURPOSE To explore the altered different expression of miRNAs and the mechanisms underlying the relapse and metastasis of pancreatic cancer. MATERIALS AND METHODS The most differentially expressed miRNAs were analyzed by gene ontology (GO) term analysis, Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis and protein interaction analysis. The potentially regulated target genes of the most differentially expressed miRNAs were also analyzed further by GO term analysis and KEGG pathway analysis, and quantitated by qRT-PCR. RESULTS In total, we found 12 miRNAs displayed at least a 30-fold increase or decrease in expression of carcinoma and relapse vs. para-carcinoma human pancreatic cancer (C/R vs. P). In addition, our study found that pancreatic cancer was related to pathways in cancer, including Jak-STAT signaling pathway, MAPK signaling pathway and PPAR signaling pathway. CONCLUSIONS The differential expressed miRNAs and their predicted target genes that involved in Jak-STAT signaling pathway, MAPK signaling pathway and PPAR signaling pathway indicating their potential roles in pancreatic carcinogenesis and progress.
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Polvani S, Tarocchi M, Tempesti S, Galli A. Nuclear receptors and pathogenesis of pancreatic cancer. World J Gastroenterol 2014; 20:12062-12081. [PMID: 25232244 PMCID: PMC4161795 DOI: 10.3748/wjg.v20.i34.12062] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2013] [Accepted: 04/03/2014] [Indexed: 02/06/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a devastating disease with a median overall survival time of 5 mo and the five years survival less than 5%, a rate essentially unchanged over the course of the years. A well defined progression model of accumulation of genetic alterations ranging from single point mutations to gross chromosomal abnormalities has been introduced to describe the origin of this disease. However, due to the its subtle nature and concurring events PDAC cure remains elusive. Nuclear receptors (NR) are members of a large superfamily of evolutionarily conserved ligand-regulated DNA-binding transcription factors functionally involved in important cellular functions ranging from regulation of metabolism, to growth and development. Given the nature of their ligands, NR are very tempting drug targets and their pharmacological modulation has been widely exploited for the treatment of metabolic and inflammatory diseases. There are now clear evidences that both classical ligand-activated and orphan NR are involved in the pathogenesis of PDAC from its very early stages; nonetheless many aspects of their role are not fully understood. The purpose of this review is to highlight the striking connections that link peroxisome proliferator activated receptors, retinoic acid receptors, retinoid X receptor, androgen receptor, estrogen receptors and the orphan NR Nur, chicken ovalbumin upstream promoter transcription factor II and the liver receptor homologue-1 receptor to PDAC development, connections that could lead to the identification of novel therapies for this disease.
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