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. 2021 May 18;11:10563. doi: 10.1038/s41598-021-90077-x

Table 5.

Literature review of the existing bioinformatics studies associated with pancreatic cancer.

Author, year Hub genes Pathways Observations
Yang et al. (2020)8 AHNAK2, CDH3, IFI27, ITGA2, LAMB3, SFN, SLC6A14, and TMPRSS4 Pancreatic secretion, pathways in cancer, p53 signaling pathway, MAPK signaling pathway, Insulin signaling pathway, and pancreatic cancer AHNAK2, CDH3, IFI27, ITGA2, LAMB3, SLC6A14, and TMPRSS4 may have great diagnostic and prognostic value for pancreatic cancer
Jin et al. (2020)7 TOP2A, CDK1, PRM2, PRC1, NEK2, ZWINNT1, DTL, MELK, CENPF, CEP55, ANLN, ASPM, and ECT2 ECM–receptor interaction, focal adhesion, pathways in cancer, proteoglycans in cancer, p53 signaling pathway, and PI3-Akt signaling pathway CDK1, TOP2A, and CEP55 may play pleiotropic roles in the progression of pancreatic cancer
Li et al. (2019)26 ALB, COL1A2, EGF, COL3A1, FN1, CEL, ITGA2, COL5A2, MMP1, and CELA3B Protein digestion and absorption, ECM–receptor interaction, pancreatic secretion, and fat digestion and absorption COL1A2, COL3A1, and COL5A2 may promote pancreatic fibrosis and EMT via the ECM–receptor interaction pathway in the early stages of pancreatic cancer
Liu et al. (2019)27 HN1, ITGA2, S100A6, KIF1A, DYM, and BACE1 Ubiquitin-mediated proteolysis and pathways in cancer HN1, ITGA2, and S100A6 may be promising potential targets for diagnosing and treating pancreatic cancer
Shen et al. (2018)31 RPL13, RPL17, RPL21, RPL22, RPL23, RPL26, RPL31, RPL35A, RPL36A,RPL37, RPL39, RPL7, RPS17, RPS23, RPS3A,RPS6, RPS7, NUP107, NUP160, and HNRNPU Ribosome pathway and the spliceosome pathway Nup170, Nup160, and HNRNPU may be used as possible molecular markers for early diagnosis of pancreatic cancer
Pan et al. (2018)28 CXCL8, ADCY7, ITGAM, ITGB2, ITGB1, IL1A, ICAM1, ITGA2, THBS2, SDC1, COL3A1, COL1A2, COL1A1, MYL9, LAMA3, LAMB3, LAMC2, COL4A1 and FN1 ECM–receptor interaction, focal adhesion, pathways in cancer, and small cell lung cancer LAMA3, LAMB3, LAMC2, COL4A1, and FN1 may involve the malignant progression of pancreatic cancer
Tang et al. (2018)6 DKK1 and HMGA2 Glycine, serine, and threonine metabolism DKK1 and HMGA2 may be important in the progression of pancreatic cancer
Li et al. (2018)29 ALB, EGF, FN1, ITGA2, COL1A2, SPARC, COL3A1, TIMP1, COL5A1, COL11A1, and MMP7 ECM–receptor interaction, cell adhesion, and transforming growth factor-beta receptor signaling pathway ITGA2 and MMP7 may act as potential diagnostic and therapeutic biomarkers for pancreatic cancer
Wang et al. (2015)30 VCAN, SULF1, COL8A1, FAP, COL1A1, THBS2, CTHRC1, COL1A2, COL6A3, FN1, COL10A1, COL3A1, TIMP, AEBP1, and COL5A1 ECM–receptor interaction, focal adhesion, and complement and coagulation cascades The collagen family genes and FN1 may play an essential role in the progression of pancreatic cancer