1.Siegel RL, Miller KD and Jemal A. Cancer Statistics, 2017. CA: a cancer journal for clinicians. 2017; 67(1):7–30.
2.Chand S, O’Hayer K, Blanco FF, Winter JM and Brody JR. The Landscape of Pancreatic Cancer Therapeutic Resistance Mechanisms. International journal of biological sciences. 2016; 12(3):273–282.
3.Sarnecka AK, Zagozda M and Durlik M. An Overview of Genetic Changes and Risk of Pancreatic Ductal Adenocarcinoma. Journal of Cancer. 2016; 7(14):2045–2051.
4.Li C, Heidt DG, Dalerba P, Burant CF, Zhang L, Adsay V, Wicha M, Clarke MF and Simeone DM. Identification of pancreatic cancer stem cells. Cancer research. 2007; 67(3):1030–1037.
5.Sanger HL, Klotz G, Riesner D, Gross HJ and Kleinschmidt AK. Viroids are single-stranded covalently closed circular RNA molecules existing as highly base-paired rod-like structures. Proceedings of the National Academy of Sciences of the United States of America. 1976; 73(11):3852–3856.
6.Jeck WR and Sharpless NE. Detecting and characterizing circular RNAs. Nature biotechnology. 2014; 32(5):453–461.
7.Chen LL and Yang L. Regulation of circRNA biogenesis. RNA biology. 2015; 12(4):381–388.
8.Lasda E and Parker R. Circular RNAs: diversity of form and function. Rna. 2014; 20(12):1829–1842.
9.Memczak S, Jens M, Elefsinioti A, Torti F, Krueger J, Rybak A, Maier L, Mackowiak SD, Gregersen LH, Munschauer M, Loewer A, Ziebold U, Landthaler M, Kocks C, le Noble F and Rajewsky N. Circular RNAs are a large class of animal RNAs with regulatory potency. Nature. 2013; 495(7441):333–338.
10.Lukiw WJ. Circular RNA (circRNA) in Alzheimer’s disease (AD). Frontiers in genetics. 2013; 4:307.
11.Xie H, Ren X, Xin S, Lan X, Lu G, Lin Y, Yang S, Zeng Z, Liao W, Ding YQ and Liang L. Emerging roles of circRNA_001569 targeting miR–145 in the proliferation and invasion of colorectal cancer. Oncotarget. 2016; 7(18):26680–26691.
12.Burd CE, Jeck WR, Liu Y, Sanoff HK, Wang Z and Sharpless NE. Expression of linear and novel circular forms of an INK4/ARF-associated non-coding RNA correlates with atherosclerosis risk. PLoS genetics. 2010; 6(12):e1001233.
13.Liu Q, Zhang X, Hu X, Dai L, Fu X, Zhang J and Ao Y. Circular RNA Related to the Chondrocyte ECM Regulates MMP13 Expression by Functioning as a MiR–136 ‘Sponge’ in Human Cartilage Degradation. Scientific reports. 2016; 6:22572.
14.Kanehisa M, Furumichi M, Tanabe M, Sato Y and Morishima K. KEGG: new perspectives on genomes, pathways, diseases and drugs. Nucleic acids research. 2017; 45(D1):D353-D361.
15.Orchard S, Kerrien S, Abbani S, Aranda B, Bhate J, Bidwell S, Bridge A, Briganti L, Brinkman FS, Cesareni G, Chatr-aryamontri A, Chautard E, Chen C, Dumousseau M, Goll J, Hancock RE, et al. Protein interaction data curation: the International Molecular Exchange (IMEx) consortium. Nature methods. 2012; 9(4):345–350.
16.Orchard S, Ammari M, Aranda B, Breuza L, Briganti L, Broackes-Carter F, Campbell NH, Chavali G, Chen C, del-Toro N, Duesbury M, Dumousseau M, Galeota E, Hinz U, Iannuccelli M, Jagannathan S, et al. The MIntAct project—IntAct as a common curation platform for 11 molecular interaction databases. Nucleic acids research. 2014; 42(Database issue):D358–363.
17.Schmitt T, Ogris C and Sonnhammer EL. FunCoup 3.0: database of genome-wide functional coupling networks. Nucleic acids research. 2014; 42(Database issue):D380–388.
18.Zhang QC, Petrey D, Garzon JI, Deng L and Honig B. PrePPI: a structure-informed database of protein-protein interactions. Nucleic acids research. 2013; 41(Database issue):D828–833.
19.Baspinar A, Cukuroglu E, Nussinov R, Keskin O and Gursoy A. PRISM: a web server and repository for prediction of protein-protein interactions and modeling their 3D complexes. Nucleic acids research. 2014; 42(Web Server issue):W285–289.
20.Zuberi K, Franz M, Rodriguez H, Montojo J, Lopes CT, Bader GD and Morris Q. GeneMANIA prediction server 2013 update. Nucleic acids research. 2013; 41(Web Server issue):W115–122.
21.Niu Y, Otasek D and Jurisica I. Evaluation of linguistic features useful in extraction of interactions from PubMed; application to annotating known, high-throughput and predicted interactions in I2D. Bioinformatics. 2010; 26(1):111–119.
22.Szklarczyk D, Franceschini A, Wyder S, Forslund K, Heller D, Huerta-Cepas J, Simonovic M, Roth A, Santos A, Tsafou KP, Kuhn M, Bork P, Jensen LJ and von Mering C. STRING v10: protein-protein interaction networks, integrated over the tree of life. Nucleic acids research. 2015; 43(Database issue):D447–452.
23.Ishiguro S, Yoshimura K, Tsunedomi R, Oka M, Takao S, Inui M, Kawabata A, Wall T, Magafa V, Cordopatis P, Tzakos AG and Tamura M. Involvement of angiotensin II type 2 receptor (AT2R) signaling in human pancreatic ductal adenocarcinoma (PDAC): a novel AT2R agonist effectively attenuates growth of PDAC grafts in mice. Cancer biology & therapy. 2015; 16(2):307–316.
24.Olakowski M, Tyszkiewicz T, Jarzab M, Krol R, Oczko-Wojciechowska M, Kowalska M, Kowal M, Gala GM, Kajor M, Lange D, Chmielik E, Gubala E, Lampe P and Jarzab B. NBL1 and anillin (ANLN) genes over-expression in pancreatic carcinoma. Folia histochemica et cytobiologica. 2009; 47(2):249–255.
25.Flint TR, Janowitz T, Connell CM, Roberts EW, Denton AE, Coll AP, Jodrell DI and Fearon DT. Tumor-Induced IL–6 Reprograms Host Metabolism to Suppress Anti-tumor Immunity. Cell metabolism. 2016; 24(5):672–684.
26..!!! INVALID CITATION!!!
27.Nkembo AT, Salako O, Poku RA, Amissah F, Ntantie E, Flores-Rozas H and Lamango NS. Disruption of actin filaments and suppression of pancreatic cancer cell viability and migration following treatment with polyisoprenylated cysteinyl amides. American journal of cancer research. 2016; 6(11):2532–2546.
28.Costa-Silva B, Aiello NM, Ocean AJ, Singh S, Zhang H, Thakur BK, Becker A, Hoshino A, Mark MT, Molina H, Xiang J, Zhang T, Theilen TM, Garcia-Santos G, Williams C, Ararso Y, et al. Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver. Nature cell biology. 2015; 17(6):816–826.
29.Zhu Y, Xu H, Chen H, Xie J, Shi M, Shen B, Deng X, Liu C, Zhan X and Peng C. Proteomic analysis of solid pseudopapillary tumor of the pancreas reveals dysfunction of the endoplasmic reticulum protein processing pathway. Molecular & cellular proteomics: MCP. 2014; 13(10):2593–2603.
30.Chan MT, Lim GE, Skovso S, Yang YH, Albrecht T, Alejandro EU, Hoesli CA, Piret JM, Warnock GL and Johnson JD. Effects of insulin on human pancreatic cancer progression modeled in vitro. BMC cancer. 2014; 14:814.
31.Ireland L, Santos A, Ahmed MS, Rainer C, Nielsen SR, Quaranta V, Weyer-Czernilofsky U, Engle DD, Perez-Mancera PA, Coupland SE, Taktak A, Bogenrieder T, Tuveson DA, Campbell F, Schmid MC and Mielgo A. Chemoresistance in Pancreatic Cancer Is Driven by Stroma-Derived Insulin-Like Growth Factors. Cancer research. 2016; 76(23):6851–6863.
32.Liu R, Wang Q, Xu G, Li K, Zhou L and Xu B. The adaptor protein CrkII regulates IGF–1-induced biological behaviors of pancreatic ductal adenocarcinoma. Tumour biology: the journal of the International Society for Oncodevelopmental Biology and Medicine. 2016; 37(1):817–822.
33.Shang Y, Zhang Z, Liu Z, Feng B, Ren G, Li K, Zhou L, Sun Y, Li M, Zhou J, An Y, Wu K, Nie Y and Fan D. miR–508–5p regulates multidrug resistance of gastric cancer by targeting ABCB1 and ZNRD1. Oncogene. 2014; 33(25):3267–3276.
34.Shang Y, Feng B, Zhou L, Ren G, Zhang Z, Fan X, Sun Y, Luo G, Liang J, Wu K, Nie Y and Fan D. The miR27b-CCNG1-P53-miR–508–5p axis regulates multidrug resistance of gastric cancer. Oncotarget. 2016; 7(1):538–549.
35.Yan H, Wang S, Yu H, Zhu J and Chen C. Molecular pathways and functional analysis of miRNA expression associated with paclitaxel-induced apoptosis in hepatocellular carcinoma cells. Pharmacology. 2013; 92(3–4):167–174.
36.Wu SG, Huang YJ, Bao B, Wu LM, Dong J, Liu XH, Li ZH, Wang XY, Wang L, Chen BJ and Chen W. miR–508–5p acts as an anti-oncogene by targeting MESDC1 in hepatocellular carcinoma. Neoplasma. 2016; 64(1).