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For: Cheng Y, Wang K, Geng L, Sun J, Xu W, Liu D, Gong S, Zhu Y. Identification of candidate diagnostic and prognostic biomarkers for pancreatic carcinoma. EBioMedicine 2019;40:382-93. [PMID: 30639415 DOI: 10.1016/j.ebiom.2019.01.003] [Cited by in Crossref: 33] [Cited by in F6Publishing: 34] [Article Influence: 11.0] [Reference Citation Analysis]
Number Citing Articles
1 Liang Z, Mou Q, Pan Z, Zhang Q, Gao G, Cao Y, Gao Z, Pan Z, Feng W. Identification of candidate diagnostic and prognostic biomarkers for human prostate cancer: RPL22L1 and RPS21. Med Oncol 2019;36. [DOI: 10.1007/s12032-019-1283-z] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 3.3] [Reference Citation Analysis]
2 Ye H, Li T, Wang H, Wu J, Yi C, Shi J, Wang P, Song C, Dai L, Jiang G, Huang Y, Yu Y, Li J. TSPAN1, TMPRSS4, SDR16C5, and CTSE as Novel Panel for Pancreatic Cancer: A Bioinformatics Analysis and Experiments Validation. Front Immunol 2021;12:649551. [PMID: 33815409 DOI: 10.3389/fimmu.2021.649551] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Zhang ZM, Wang JS, Zulfiqar H, Lv H, Dao FY, Lin H. Early Diagnosis of Pancreatic Ductal Adenocarcinoma by Combining Relative Expression Orderings With Machine-Learning Method. Front Cell Dev Biol 2020;8:582864. [PMID: 33178697 DOI: 10.3389/fcell.2020.582864] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
4 Zou PA, Yang ZX, Wang X, Tao ZW. Upregulation of CENPF is linked to aggressive features of osteosarcoma. Oncol Lett 2021;22:648. [PMID: 34386070 DOI: 10.3892/ol.2021.12909] [Reference Citation Analysis]
5 Sniegowski T, Korac K, Bhutia YD, Ganapathy V. SLC6A14 and SLC38A5 Drive the Glutaminolysis and Serine-Glycine-One-Carbon Pathways in Cancer. Pharmaceuticals (Basel) 2021;14:216. [PMID: 33806675 DOI: 10.3390/ph14030216] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
6 Roche S, O'Neill F, Murphy J, Swan N, Meiller J, Conlon NT, Geoghegan J, Conlon K, McDermott R, Rahman R, Toomey S, Straubinger NL, Straubinger RM, O'Connor R, McVey G, Moriarty M, Clynes M. Establishment and Characterisation by Expression Microarray of Patient-Derived Xenograft Panel of Human Pancreatic Adenocarcinoma Patients. Int J Mol Sci 2020;21:E962. [PMID: 32024004 DOI: 10.3390/ijms21030962] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
7 Sun H, Xin R, Zheng C, Huang G. Aberrantly DNA Methylated-Differentially Expressed Genes in Pancreatic Cancer Through an Integrated Bioinformatics Approach. Front Genet 2021;12:583568. [PMID: 33833773 DOI: 10.3389/fgene.2021.583568] [Reference Citation Analysis]
8 Xu D, Wang Y, Liu X, Zhou K, Wu J, Chen J, Chen C, Chen L, Zheng J. Development and clinical validation of a novel 9-gene prognostic model based on multi-omics in pancreatic adenocarcinoma. Pharmacol Res 2021;164:105370. [PMID: 33316381 DOI: 10.1016/j.phrs.2020.105370] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
9 Ji Y, Yin Y, Zhang W. Integrated Bioinformatic Analysis Identifies Networks and Promising Biomarkers for Hepatitis B Virus-Related Hepatocellular Carcinoma. Int J Genomics 2020;2020:2061024. [PMID: 32775402 DOI: 10.1155/2020/2061024] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
10 Fang S, Zhong L, Wang AQ, Zhang H, Yin ZS. Identification of Regeneration and Hub Genes and Pathways at Different Time Points after Spinal Cord Injury. Mol Neurobiol 2021;58:2643-62. [PMID: 33484404 DOI: 10.1007/s12035-021-02289-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Du J, Yan X, Mi S, Li Y, Ji H, Hou K, Ma S, Ba Y, Zhou P, Chen L, Xie R, Hu S. Identification of Prognostic Model and Biomarkers for Cancer Stem Cell Characteristics in Glioblastoma by Network Analysis of Multi-Omics Data and Stemness Indices. Front Cell Dev Biol 2020;8:558961. [PMID: 33195193 DOI: 10.3389/fcell.2020.558961] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
12 Xiao H, Zhang Z, Peng D, Wei C, Ma B. Type II transmembrane serine proteases 4 (TMPRSS4) promotes proliferation, invasion and epithelial-mesenchymal transition in endometrial carcinoma cells (HEC1A and Ishikawa) via activation of MAPK and AKT. Anim Cells Syst (Seoul) 2021;25:211-8. [PMID: 34408809 DOI: 10.1080/19768354.2021.1944311] [Reference Citation Analysis]
13 Gao Y, Zhang E, Fei X, Kong L, Liu P, Tan X. Identification of Novel Metabolism-Associated Subtypes for Pancreatic Cancer to Establish an Eighteen-Gene Risk Prediction Model. Front Cell Dev Biol 2021;9:691161. [PMID: 34447748 DOI: 10.3389/fcell.2021.691161] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Jiao H, Zeng L, Yang S, Zhang J, Lou W. Knockdown EIF3C Suppresses Cell Proliferation and Increases Apoptosis in Pancreatic Cancer Cell. Dose Response 2020;18:1559325820950061. [PMID: 32973416 DOI: 10.1177/1559325820950061] [Reference Citation Analysis]
15 Wu J, Lou Y, Ma YM, Xu J, Shi T. A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma. Front Genet 2021;12:741112. [PMID: 34868213 DOI: 10.3389/fgene.2021.741112] [Reference Citation Analysis]
16 Villalba M, Exposito F, Pajares MJ, Sainz C, Redrado M, Remirez A, Wistuba I, Behrens C, Jantus-Lewintre E, Camps C, Montuenga LM, Pio R, Lozano MD, de Andrea C, Calvo A. TMPRSS4: A Novel Tumor Prognostic Indicator for the Stratification of Stage IA Tumors and a Liquid Biopsy Biomarker for NSCLC Patients. J Clin Med 2019;8:E2134. [PMID: 31817025 DOI: 10.3390/jcm8122134] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
17 Tang R, Liu X, Wang W, Hua J, Xu J, Liang C, Meng Q, Liu J, Zhang B, Yu X, Shi S. Role of tumor mutation burden-related signatures in the prognosis and immune microenvironment of pancreatic ductal adenocarcinoma. Cancer Cell Int 2021;21:196. [PMID: 33827590 DOI: 10.1186/s12935-021-01900-4] [Reference Citation Analysis]
18 Chen W, Chen Y, Zhang K, Yang W, Li X, Zhao J, Liu K, Dong Z, Lu J. AGT serves as a potential biomarker and drives tumor progression in colorectal carcinoma. Int Immunopharmacol 2021;101:108225. [PMID: 34655849 DOI: 10.1016/j.intimp.2021.108225] [Reference Citation Analysis]
19 Nałęcz KA. Amino Acid Transporter SLC6A14 (ATB0,+) - A Target in Combined Anti-cancer Therapy. Front Cell Dev Biol 2020;8:594464. [PMID: 33195271 DOI: 10.3389/fcell.2020.594464] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
20 Curcio C, Brugiapaglia S, Bulfamante S, Follia L, Cappello P, Novelli F. The Glycolytic Pathway as a Target for Novel Onco-Immunology Therapies in Pancreatic Cancer. Molecules 2021;26:1642. [PMID: 33804240 DOI: 10.3390/molecules26061642] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
21 Qiu CJ, Wang XB, Zheng ZR, Yang CZ, Lin K, Zhang K, Tu M, Jiang KR, Gao WT. Development and validation of a ferroptosis-related prognostic model in pancreatic cancer. Invest New Drugs 2021. [PMID: 34195903 DOI: 10.1007/s10637-021-01114-5] [Reference Citation Analysis]
22 Tian C, Li X, Ge C. High expression of LAMA3/AC245041.2 gene pair associated with KRAS mutation and poor survival in pancreatic adenocarcinoma: a comprehensive TCGA analysis. Mol Med 2021;27:62. [PMID: 34134622 DOI: 10.1186/s10020-021-00322-2] [Reference Citation Analysis]
23 Wang C, Yang Y, Yin L, Wei N, Hong T, Sun Z, Yao J, Li Z, Liu T. Novel Potential Biomarkers Associated With Epithelial to Mesenchymal Transition and Bladder Cancer Prognosis Identified by Integrated Bioinformatic Analysis. Front Oncol 2020;10:931. [PMID: 32695668 DOI: 10.3389/fonc.2020.00931] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
24 Ahmad RS, Eubank TD, Lukomski S, Boone BA. Immune Cell Modulation of the Extracellular Matrix Contributes to the Pathogenesis of Pancreatic Cancer. Biomolecules 2021;11:901. [PMID: 34204306 DOI: 10.3390/biom11060901] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
25 Tazawa H, Suzuki T, Saito A, Ishikawa A, Komo T, Sada H, Shimada N, Hadano N, Onoe T, Sudo T, Shimizu Y, Kuraoka K, Tashiro H. Utility of TMPRSS4 as a Prognostic Biomarker and Potential Therapeutic Target in Patients with Gastric Cancer. J Gastrointest Surg 2021. [PMID: 34379296 DOI: 10.1007/s11605-021-05101-2] [Reference Citation Analysis]
26 Fang X, Cai Y, Xu Y, Zhang H. Exosome-mediated lncRNA SNHG11 regulates angiogenesis in pancreatic carcinoma through miR-324-3p/VEGFA axis. Cell Biol Int 2021. [PMID: 34519129 DOI: 10.1002/cbin.11703] [Reference Citation Analysis]
27 Chen EB, Qin X, Peng K, Li Q, Tang C, Wei YC, Yu S, Gan L, Liu TS. HnRNPR-CCNB1/CENPF axis contributes to gastric cancer proliferation and metastasis. Aging (Albany NY). 2019;11:7473-7491. [PMID: 31527303 DOI: 10.18632/aging.102254] [Cited by in Crossref: 16] [Cited by in F6Publishing: 24] [Article Influence: 5.3] [Reference Citation Analysis]
28 Zou Y, Lu Q, Yao Q, Dong D, Chen B. Identification of novel prognostic biomarkers in renal cell carcinoma. Aging (Albany NY) 2020;12:25304-18. [PMID: 33234734 DOI: 10.18632/aging.104131] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
29 Atay S. Integrated transcriptome meta-analysis of pancreatic ductal adenocarcinoma and matched adjacent pancreatic tissues. PeerJ 2020;8:e10141. [PMID: 33194391 DOI: 10.7717/peerj.10141] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
30 Wei X, Zhou X, Zhao Y, He Y, Weng Z, Xu C. A 14-gene gemcitabine resistance gene signature is significantly associated with the prognosis of pancreatic cancer patients. Sci Rep 2021;11:6087. [PMID: 33731794 DOI: 10.1038/s41598-021-85680-x] [Reference Citation Analysis]
31 Kasahara Y, Narukawa M, Ishimaru Y, Kanda S, Umatani C, Takayama Y, Tominaga M, Oka Y, Kondo K, Kondo T, Takeuchi A, Misaka T, Abe K, Asakura T. TMC4 is a novel chloride channel involved in high-concentration salt taste sensation. J Physiol Sci 2021;71:23. [PMID: 34429071 DOI: 10.1186/s12576-021-00807-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
32 Gu J, Huang W, Zhang J, Wang X, Tao T, Yang L, Zheng Y, Liu S, Yang J, Zhu L, Wang H, Fan Y. TMPRSS4 Promotes Cell Proliferation and Inhibits Apoptosis in Pancreatic Ductal Adenocarcinoma by Activating ERK1/2 Signaling Pathway. Front Oncol 2021;11:628353. [PMID: 33816264 DOI: 10.3389/fonc.2021.628353] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
33 Li Y, Yuan R, Ren T, Yang B, Miao H, Liu L, Li Y, Cai C, Yang Y, Hu Y, Jiang C, Xu Q, Zhang Y, Liu Y. Role of Sciellin in gallbladder cancer proliferation and formation of neutrophil extracellular traps. Cell Death Dis 2021;12:30. [PMID: 33414368 DOI: 10.1038/s41419-020-03286-z] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
34 Zhang Q, Yin X, Pan Z, Cao Y, Han S, Gao G, Gao Z, Pan Z, Feng W. Identification of potential diagnostic and prognostic biomarkers for prostate cancer. Oncol Lett 2019;18:4237-45. [PMID: 31579071 DOI: 10.3892/ol.2019.10765] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
35 Feng L, Wang J, Zhang J, Diao J, He L, Fu C, Liao H, Xu X, Gao Y, Zhou C. Comprehensive Analysis of E3 Ubiquitin Ligases Reveals Ring Finger Protein 223 as a Novel Oncogene Activated by KLF4 in Pancreatic Cancer. Front Cell Dev Biol 2021;9:738709. [PMID: 34722520 DOI: 10.3389/fcell.2021.738709] [Reference Citation Analysis]
36 Xie J, Zhou X, Wang R, Zhao J, Tang J, Zhang Q, Du Y, Pang Y. Identification of potential diagnostic biomarkers in MMPs for pancreatic carcinoma. Medicine (Baltimore) 2021;100:e26135. [PMID: 34114996 DOI: 10.1097/MD.0000000000026135] [Reference Citation Analysis]
37 Feng L, Wang Y, Qin J, Fu Y, Guo Z, Zhang J, He G, Jiang Z, Xu X, Zhou C, Gao Y. UGT1A Gene Family Members Serve as Potential Targets and Prognostic Biomarkers for Pancreatic Cancer. Biomed Res Int 2021;2021:6673125. [PMID: 34595239 DOI: 10.1155/2021/6673125] [Reference Citation Analysis]
38 Yu X, Zheng Q, Zhang M, Zhang Q, Zhang S, He Y, Guo W. A Prognostic Model of Pancreatic Cancer Based on Ferroptosis-Related Genes to Determine Its Immune Landscape and Underlying Mechanisms. Front Cell Dev Biol 2021;9:746696. [PMID: 34820374 DOI: 10.3389/fcell.2021.746696] [Reference Citation Analysis]
39 Xu H, Zhu X, Shi L, Lin N, Li X. miR-383-5p inhibits human malignant melanoma cells function via targeting CENPF. Reprod Biol 2021;21:100535. [PMID: 34274651 DOI: 10.1016/j.repbio.2021.100535] [Reference Citation Analysis]
40 Zhao XF, Yang YS, Gao DZ, Park YK. TMPRSS4 overexpression promotes the metastasis of colorectal cancer and predicts poor prognosis of stage III-IV colorectal cancer. Int J Biol Markers 2021;36:23-32. [PMID: 34595980 DOI: 10.1177/17246008211046368] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]