Biglycan as a potential diagnostic and prognostic biomarker in multiple human cancers
- Authors:
- Shou‑Feng Zhao
- Xue‑Jing Yin
- Wen‑Ju Zhao
- Le‑Cui Liu
- Zhi‑Peng Wang
-
Affiliations: Central Laboratories, Qingdao Municipal Hospital, Qingdao, Shandong 266000, P.R. China, Department of Pharmacy, Qingdao Mental Health Centre, Qingdao, Shandong 266235, P.R. China, Operating Room, Qingdao Jinhua Gynecology Hospital, Qingdao, Shandong 266235, P.R. China, Neonatal Department, Wulian County People's Hospital, Wulian, Shandong 262300, P.R. China, Marine Science and Engineering College, Qingdao Agricultural University, Qingdao, Shandong 266109, P.R. China - Published online on: January 8, 2020 https://doi.org/10.3892/ol.2020.11266
- Pages: 1673-1682
-
Copyright: © Zhao et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
This article is mentioned in:
Abstract
 |
 |
 |
|
Chaker L, Falla A, van der Lee SJ, Muka T, Imo D, Jaspers L, Colpani V, Mendis S, Chowdhury R, Bramer WM, et al: The global impact of non-communicable diseases on macro-economic productivity: A systematic review. Eur J Epidemiol. 30:357–395. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Patel SA and DeMichele A: Adding adjuvant systemic treatment after neoadjuvant therapy in breast cancer: Review of the data. Curr Oncol Rep. 19:562017. View Article : Google Scholar : PubMed/NCBI | |
|
Miller KD, Nogueira L, Mariotto AB, Rowland JH, Yabroff KR, Alfano CM, Jemal A, Kramer JL and Siegel RL: Cancer treatment and survivorship statistics, 2019. CA Cancer J Clin. 69:363–385. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Siegel RL, Miller KD and Jemal A: Cancer statistics, 2019. CA Cancer J Clin. 69:7–34. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Ferlay J, Shin HR, Bray F, Forman D, Mathers C and Parkin DM: Estimates of worldwide burden of cancer in 2008. Int J Cancer. 127:2893–2917. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Geerkens C, Vetter U, Just W, Fedarko NS, Fisher LW, Young MF, Termine JD, Robey PG, Wöhrle D and Vogel W: The X-chromosomal human biglycan gene BGN is subject to X inactivation but is transcribed like an X-Y homologous gene. Hum Genet. 96:44–52. 1995. View Article : Google Scholar : PubMed/NCBI | |
|
McBride OW, Fisher LW and Young MF: Localization of PGI (biglycan, BGN) and PGII (decorin, DCN, PG-40) genes on human chromosomes Xq13-qter and 12q, respectively. Genomics. 6:219–225. 1990. View Article : Google Scholar : PubMed/NCBI | |
|
Nastase MV, Young MF and Schaefer L: Biglycan: A multivalent proteoglycan providing structure and signals. J Histochem Cytochem. 60:963–975. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Fallon JR and McNally EM: Non-Glycanated biglycan and LTBP4: Leveraging the extracellular matrix for Duchenne muscular dystrophy therapeutics. Matrix Biol. 68-69:616–627. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Kocbek V, Hevir-Kene N, Bersinger NA, Mueller MD and Rižner TL: Increased levels of biglycan in endometriomas and peritoneal fluid samples from ovarian endometriosis patients. Gynecol Endocrinol. 30:520–524. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Jacobsen F, Kraft J, Schroeder C, Hube-Magg C, Kluth M, Lang DS, Simon R, Sauter G, Izbicki JR, Clauditz TS, et al: Up-regulation of biglycan is associated with poor prognosis and PTEN deletion in patients with prostate cancer. Neoplasia. 19:707–715. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Weber CK, Sommer G, Michl P, Fensterer H, Weimer M, Gansauge F, Leder G, Adler G and Gress TM: Biglycan is overexpressed in pancreatic cancer and induces G1-arrest in pancreatic cancer cell lines. Gastroenterology. 121:657–667. 2001. View Article : Google Scholar : PubMed/NCBI | |
|
Hu L, Duan YT, Li JF, Su LP, Yan M, Zhu ZG, Liu BY and Yang QM: Biglycan enhances gastric cancer invasion by activating FAK signaling pathway. Oncotarget. 5:1885–1896. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Xing X, Gu X, Ma T and Ye H: Biglycan up-regulated vascular endothelial growth factor (VEGF) expression and promoted angiogenesis in colon cancer. Tumour Biol. 36:1773–1780. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Wang B, Li GX, Zhang SG, Wang Q, Wen YG, Tang HM, Zhou CZ, Xing AY, Fan JW, Yan DW, et al: Biglycan expression correlates with aggressiveness and poor prognosis of gastric cancer. Exp Biol Med (Maywood). 236:1247–1253. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Aprile G, Avellini C, Reni M, Mazzer M, Foltran L, Rossi D, Cereda S, Iaiza E, Fasola G and Piga A: Biglycan expression and clinical outcome in patients with pancreatic adenocarcinoma. Tumor Biol. 34:131–137. 2013. View Article : Google Scholar | |
|
Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D, Barrette T, Pandey A and Chinnaiyan AM: ONCOMINE: A cancer microarray database and integrated data-mining platform. Neoplasia. 6:1–6. 2004. View Article : Google Scholar : PubMed/NCBI | |
|
Anaya J: OncoLnc: Linking TCGA survival data to mRNAs, miRNAs, and lncRNAs. PeerJ Computer Sci. 2:e672016. View Article : Google Scholar | |
|
Chandrashekar DS, Bashel B, Balasubramanya SAH, Creighton CJ, Ponce-Rodriguez I, Chakravarthi BVSK and Varambally S: UALCAN: A portal for facilitating tumor subgroup gene expression and survival analyses. Neoplasia. 19:649–658. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Györffy B, Lanczky A, Eklund AC, Denkert C, Budczies J, Li Q and Szallasi Z: An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients. Breast Cancer Res Treat. 123:725–731. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Győrffy B, Lánczky A and Szállási Z: Implementing an online tool for genome-wide validation of survival-associated biomarkers in ovarian-cancer using microarray data from 1287 patients. Endocr Relat Cancer. 19:197–208. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Győrffy B, Surowiak P, Budczies J and Lánczky A: Online survival analysis software to assess the prognostic value of biomarkers using transcriptomic data in non-small-cell lung cancer. PLoS One. 8:e822412013. View Article : Google Scholar : PubMed/NCBI | |
|
Szász AM, Lánczky A, Nagy Á, Förster S, Hark K, Green JE, Boussioutas A, Busuttil R, Szabó A and Győrffy B: Cross-validation of survival associated biomarkers in gastric cancer using transcriptomic data of 1,065 patients. Oncotarget. 7:49322–49333. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Szklarczyk D, Franceschini A, Wyder S, Forslund K, Heller D, Huerta-Cepas J, Simonovic M, Roth A, Santos A, Tsafou KP, et al: STRING v10: Protein-protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 43:D447–D452. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Chen X, Cheung ST, So S, Fan ST, Barry C, Higgins J, Lai KM, Ji J, Dudoit S, Ng IO, et al: Gene expression patterns in human liver cancers. Mol Biol Cell. 13:1929–1939. 2002. View Article : Google Scholar : PubMed/NCBI | |
|
Higgins JP, Shinghal R, Gill H, Reese JH, Terris M, Cohen RJ, Fero M, Pollack JR, van de Rijn M and Brooks JD: Gene expression patterns in renal cell carcinoma assessed by complementary DNA microarray. Am J Pathol. 162:925–932. 2003. View Article : Google Scholar : PubMed/NCBI | |
|
Iacobuzio-Donahue CA, Maitra A, Olsen M, Lowe AW, van Heek NT, Rosty C, Walter K, Sato N, Parker A, Ashfaq R, et al: Exploration of global gene expression patterns in pancreatic adenocarcinoma using cDNA microarrays. Am J Pathol. 162:1151–1162. 2003. View Article : Google Scholar : PubMed/NCBI | |
|
Buchholz M, Braun M, Heidenblut A, Kestler HA, Klöppel G, Schmiegel W, Hahn SA, Lüttges J and Gress TM: Transcriptome analysis of microdissected pancreatic intraepithelial neoplastic lesions. Oncogene. 24:6626–6636. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Segara D, Biankin AV, Kench JG, Langusch CC, Dawson AC, Skalicky DA, Gotley DC, Coleman MJ, Sutherland RL and Henshall SM: Expression of HOXB2, a retinoic acid signaling target in pancreatic cancer and pancreatic intraepithelial neoplasia. Clin Cancer Res. 11:3587–3596. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Badea L, Herlea V, Dima SO, Dumitrascu T and Popescu I: Combined gene expression analysis of whole-tissue and microdissected pancreatic ductal adenocarcinoma identifies genes specifically overexpressed in tumor epithelia. Hepatogastroenterology. 55:2016–2027. 2008.PubMed/NCBI | |
|
Mas VR, Maluf DG, Archer KJ, Yanek K, Kong X, Kulik L, Freise CE, Olthoff KM, Ghobrial RM, McIver P and Fisher R: Genes involved in viral carcinogenesis and tumor initiation in hepatitis C virus-induced hepatocellular carcinoma. Mol Med. 15:85–94. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Yusenko MV, Kuiper RP, Boethe T, Ljungberg B, van Kessel AG and Kovacs G: High-resolution DNA copy number and gene expression analyses distinguish chromophobe renal cell carcinomas and renal oncocytomas. BMC Cancer. 9:1522009. View Article : Google Scholar : PubMed/NCBI | |
|
Roessler S, Jia HL, Budhu A, Forgues M, Ye QH, Lee JS, Thorgeirsson SS, Sun Z, Tang ZY, Qin LX and Wang XW: A unique metastasis gene signature enables prediction of tumor relapse in early-stage hepatocellular carcinoma patients. Cancer Res. 70:10202–10212. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Franzmann E: Carcinoma. Encyclopedia of Behavioral Medicine. Gellman MD and Turner JR: Springer New York; New York, NY: pp. 329–330. 2013, View Article : Google Scholar | |
|
Blaveri E, Simko JP, Korkola JE, Brewer JL, Baehner F, Mehta K, Devries S, Koppie T, Pejavar S, Carroll P and Waldman FM: Bladder cancer outcome and subtype classification by gene expression. Clin Cancer Res. 11:4044–4055. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Bredel M, Bredel C, Juric D, Harsh GR, Vogel H, Recht LD and Sikic BI: Functional network analysis reveals extended gliomagenesis pathway maps and three novel MYC-interacting genes in human gliomas. Cancer Res. 65:8679–8689. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Ma XJ, Dahiya S, Richardson E, Erlander M and Sgroi DC: Gene expression profiling of the tumor microenvironment during breast cancer progression. Breast Cancer Res. 11:R72009. View Article : Google Scholar : PubMed/NCBI | |
|
Curtis C, Shah SP, Chin SF, Turashvili G, Rueda OM, Dunning MJ, Speed D, Lynch AG, Samarajiwa S, Yuan Y, et al: The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature. 486:346–352. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Karnoub AE, Dash AB, Vo AP, Sullivan A, Brooks MW, Bell GW, Richardson AL, Polyak K, Tubo R and Weinberg RA: Mesenchymal stem cells within tumour stroma promote breast cancer metastasis. Nature. 449:557–563. 2007. View Article : Google Scholar : PubMed/NCBI | |
|
Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, et al: Molecular portraits of human breast tumours. Nature. 406:747–752. 2000. View Article : Google Scholar : PubMed/NCBI | |
|
Zhao H, Langerod A, Ji Y, Nowels KW, Nesland JM, Tibshirani R, Bukholm IK, Kåresen R, Botstein D, Børresen-Dale AL and Jeffrey SS: Different gene expression patterns in invasive lobular and ductal carcinomas of the breast. Mol Biol Cell. 15:2523–2536. 2004. View Article : Google Scholar : PubMed/NCBI | |
|
Cancer Genome Atlas Network: Comprehensive molecular portraits of human breast tumours. Nature. 490:61–70. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Ciriello G, Gatza ML, Beck AH, Wilkerson MD, Rhie SK, Pastore A, Zhang H, McLellan M, Yau C, Kandoth C, et al: Comprehensive molecular portraits of invasive lobular breast cancer. Cell. 163:506–519. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Kaiser S, Park YK, Franklin JL, Halberg RB, Yu M, Jessen WJ, Freudenberg J, Chen X, Haigis K, Jegga AG, et al: Transcriptional recapitulation and subversion of embryonic colon development by mouse colon tumor models and human colon cancer. Genome Biol. 8:R1312007. View Article : Google Scholar : PubMed/NCBI | |
|
Skrzypczak M, Goryca K, Rubel T, Paziewska A, Mikula M, Jarosz D, Pachlewski J, Oledzki J and Ostrowski J: Modeling oncogenic signaling in colon tumors by multidirectional analyses of microarray data directed for maximization of analytical reliability. PLoS One. 5(pii): e130912010. View Article : Google Scholar : PubMed/NCBI | |
|
Graudens E, Boulanger V, Mollard C, Mariage-Samson R, Barlet X, Grémy G, Couillault C, Lajémi M, Piatier-Tonneau D, Zaborski P, et al: Deciphering cellular states of innate tumor drug responses. Genome Biol. 7:R192006. View Article : Google Scholar : PubMed/NCBI | |
|
Cancer Genome Atlas Network, ; Muzny DM, Bainbridge MN, Chang K, Dinh HH, Drummond JA, Fowler G, Kovar CL, Lewis LR, Morgan MB, et al: Comprehensive molecular characterization of human colon and rectal cancer. Nature. 487:330–337. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Gaedcke J, Grade M, Jung K, Camps J, Jo P, Emons G, Gehoff A, Sax U, Schirmer M, Becker H, et al: Mutated KRAS results in overexpression of DUSP4, a MAP-kinase phosphatase, and SMYD3, a histone methyltransferase, in rectal carcinomas. Genes Chromosomes Cancer. 49:1024–1034. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Hong Y, Downey T, Eu KW, Koh PK and Cheah PY: A ‘metastasis-prone’ signature for early-stage mismatch-repair proficient sporadic colorectal cancer patients and its implications for possible therapeutics. Clin Exp Metastasis. 27:83–90. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Su H, Hu N, Yang HH, Wang C, Takikita M, Wang QH, Giffen C, Clifford R, Hewitt SM, Shou JZ, et al: Global gene expression profiling and validation in esophageal squamous cell carcinoma and its association with clinical phenotypes. Clin Cancer Res. 17:2955–2966. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Hu N, Clifford RJ, Yang HH, Wang C, Goldstein AM, Ding T, Taylor PR and Lee MP: Genome wide analysis of DNA copy number neutral loss of heterozygosity (CNNLOH) and its relation to gene expression in esophageal squamous cell carcinoma. BMC Genomics. 11:5762010. View Article : Google Scholar : PubMed/NCBI | |
|
Hao Y, Triadafilopoulos G, Sahbaie P, Young HS, Omary MB and Lowe AW: Gene expression profiling reveals stromal genes expressed in common between Barrett's esophagus and adenocarcinoma. Gastroenterology. 131:925–933. 2006. View Article : Google Scholar : PubMed/NCBI | |
|
Chen X, Leung SY, Yuen ST, Chu KM, Ji J, Li R, Chan AS, Law S, Troyanskaya OG, Wong J, et al: Variation in gene expression patterns in human gastric cancers. Mol Biol Cell. 14:3208–3215. 2003. View Article : Google Scholar : PubMed/NCBI | |
|
Cho JY, Lim JY, Cheong JH, Park YY, Yoon SL, Kim SM, Kim SB, Kim H, Hong SW, Park YN, et al: Gene expression signature-based prognostic risk score in gastric cancer. Clin Cancer Res. 17:1850–1857. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Wang Q, Wen YG, Li DP, Xia J, Zhou CZ, Yan DW, Tang HM and Peng ZH: Upregulated INHBA expression is associated with poor survival in gastric cancer. Med Oncol. 29:77–83. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
D'Errico M, de Rinaldis E, Blasi MF, Viti V, Falchetti M, Calcagnile A, Sera F, Saieva C, Ottini L, Palli D, et al: Genome-wide expression profile of sporadic gastric cancers with microsatellite instability. Eur J Cancer. 45:461–469. 2009. View Article : Google Scholar | |
|
Cui J, Chen Y, Chou WC, Sun L, Chen L, Suo J, Ni Z, Zhang M, Kong X, Hoffman LL, et al: An integrated transcriptomic and computational analysis for biomarker identification in gastric cancer. Nucleic Acids Res. 39:1197–1207. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Frierson HF Jr, El-Naggar AK, Welsh JB, Sapinoso LM, Su AI, Cheng J, Saku T, Moskaluk CA and Hampton GM: Large scale molecular analysis identifies genes with altered expression in salivary adenoid cystic carcinoma. Am J Pathol. 161:1315–1323. 2002. View Article : Google Scholar : PubMed/NCBI | |
|
Talbot SG, Estilo C, Maghami E, Sarkaria IS, Pham DK, O-Charoenrat P, Socci ND, Ngai I, Carlson D, Ghossein R, et al: Gene expression profiling allows distinction between primary and metastatic squamous cell carcinomas in the lung. Cancer Res. 65:3063–3071. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Welsh JB, Zarrinkar PP, Sapinoso LM, Kern SG, Behling CA, Monk BJ, Lockhart DJ, Burger RA and Hampton GM: Analysis of gene expression profiles in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer. Proc Natl Acad Sci USA. 98:1176–1181. 2001. View Article : Google Scholar : PubMed/NCBI | |
|
Bonome T, Levine DA, Shih J, Randonovich M, Pise-Masison CA, Bogomolniy F, Ozbun L, Brady J, Barrett JC, Boyd J and Birrer MJ: A gene signature predicting for survival in suboptimally debulked patients with ovarian cancer. Cancer Res. 68:5478–5486. 2008. View Article : Google Scholar : PubMed/NCBI | |
|
Cancer Genome Atlas Research Network, . Integrated genomic analyses of ovarian carcinoma. Nature. 474:609–615. 2011. View Article : Google Scholar : PubMed/NCBI | |
|
Riker AI, Enkemann SA, Fodstad O, Liu S, Ren S, Morris C, Xi Y, Howell P, Metge B, Samant RS, et al: The gene expression profiles of primary and metastatic melanoma yields a transition point of tumor progression and metastasis. BMC Med Genomics. 1:132008. View Article : Google Scholar : PubMed/NCBI | |
|
Tang Z, Li C, Kang B, Gao G, Li C and Zhang Z: GEPIA: A web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 45:W98–W102. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas J, Simonovic M, Doncheva NT, Morris JH, Bork P, et al: STRING v11: Protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 47:D607–D613. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Appunni S, Anand V, Khandelwal M, Gupta N, Rubens M and Sharma A: Small leucine rich proteoglycans (decorin, biglycan and lumican) in cancer. Clin Chim Acta. 491:1–7. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Schaefer L, Babelova A, Kiss E, Hausser HJ, Baliova M, Krzyzankova M, Marsche G, Young MF, Mihalik D, Götte M, et al: The matrix component biglycan is proinflammatory and signals through Toll-like receptors 4 and 2 in macrophages. J Clin Invest. 115:2223–2233. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Hildebrand A, Romaris M, Rasmussen LM, Heinegård D, Twardzik DR, Border WA and Ruoslahti E: Interaction of the small interstitial proteoglycans biglycan, decorin and fibromodulin with transforming growth factor beta. Biochem J. 302:527–534. 1994. View Article : Google Scholar : PubMed/NCBI | |
|
Bischof AG, Yüksel D, Mammoto T, Mammoto A, Krause S and Ingber DE: Breast cancer normalization induced by embryonic mesenchyme is mediated by extracellular matrix biglycan. Integr Biol (Camb). 5:1045–1056. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Liu B, Xu T, Xu X, Cui Y and Xing X: Biglycan promotes the chemotherapy resistance of colon cancer by activating NF-kappaB signal transduction. Mol Cell Biochem. 449:285–294. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Yang Z, Wen Y, Qian L and Hospital Z: Up-regulation of biglycan is associated with malignant phenotype of nonsmall cell lung cancer. J Med Res. 45:41–46. 2016. | |
|
Ferlay J, Colombet M, Soerjomataram I, Mathers C, Parkin DM, Piñeros M, Znaor A and Bray F: Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. Int J Cancer. 144:1941–1953. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Appunni S, Anand V, Khandelwal M, Seth A, Mathur S and Sharma A: Altered expression of small leucine-rich proteoglycans (Decorin, Biglycan and Lumican): Plausible diagnostic marker in urothelial carcinoma of bladder. Tumour Biol. 39:10104283176991122017. View Article : Google Scholar : PubMed/NCBI | |
|
Liu JY, Jiang L, Liu JJ, He T, Cui YH, Qian F and Yu PW: AEBP1 promotes epithelial-mesenchymal transition of gastric cancer cells by activating the NF-κB pathway and predicts poor outcome of the patients. Sci Rep. 8:119552018. View Article : Google Scholar : PubMed/NCBI | |
|
Kasurinen A, Gramolelli S, Hagström J, Laitinen A, Kokkola A, Miki Y, Lehti K, Yashiro M, Ojala PM, Böckelman C and Haglund C: High tissue MMP14 expression predicts worse survival in gastric cancer, particularly with a low PROX1. Cancer Med. 8:6995–7005. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Liu J, Liu Z, Zhang X, Gong T and Yao D: Bioinformatic exploration of OLFML2B overexpression in gastric cancer base on multiple analyzing tools. BMC Cancer. 19:2272019. View Article : Google Scholar : PubMed/NCBI | |
|
Wang G, Shi B, Fu Y, Zhao S, Qu K, Guo Q, Li K and She J: Hypomethylated gene NRP1 is co-expressed with PDGFRB and associated with poor overall survival in gastric cancer patients. Biomed Pharmacother. 111:1334–1341. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Liao P, Li W, Liu R, Teer JK, Xu B, Zhang W, Li X, Mcleod HL and He Y: Genome-scale analysis identifies SERPINE1 and SPARC as diagnostic and prognostic biomarkers in gastric cancer. Onco Targets Ther. 11:6969–6980. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Wang H, Duan XL, Qi XL, Meng L, Xu YS, Wu T and Dai PG: Concurrent Hypermethylation of SFRP2 and DKK2 Activates the Wnt/β-catenin pathway and is associated with poor prognosis in patients with gastric cancer. Mol Cells. 40:45–53. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Ao R, Guan L, Wang Y and Wang JN: Silencing of COL1A2, COL6A3, and THBS2 inhibits gastric cancer cell proliferation, migration, and invasion while promoting apoptosis through the PI3k-Akt signaling pathway. J Cell Biochem. 119:4420–4434. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Zhuo C, Li X, Zhuang H, Tian S, Cui H, Jiang R, Liu C, Tao R and Lin X: Elevated THBS2, COL1A2, and SPP1 expression levels as predictors of gastric cancer prognosis. Cell Physiol Biochem. 40:1316–1324. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Hao S, Lv J, Yang Q, Wang A, Li Z, Guo Y and Zhang G: Identification of key genes and circular RNAs in human gastric cancer. Med Sci Monit. 25:2488–2504. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Suzuki S, Dobashi Y, Hatakeyama Y, Tajiri R, Fujimura T, Heldin CH and Ooi A: Clinicopathological significance of platelet-derived growth factor (PDGF)-B and vascular endothelial growth factor-A expression, PDGF receptor-β phosphorylation, and microvessel density in gastric cancer. BMC Cancer. 10:6592010. View Article : Google Scholar : PubMed/NCBI | |
|
Mazzoccoli G, Pazienza V, Panza A, Valvano MR, Benegiamo G, Vinciguerra M, Andriulli A and Piepoli A: ARNTL2 and SERPINE1: Potential biomarkers for tumor aggressiveness in colorectal cancer. J Cancer Res Clin Oncol. 138:501–511. 2012. View Article : Google Scholar : PubMed/NCBI |
