Integrated analysis reveals potential long non-coding RNA biomarkers and their potential biological functions for disease free survival in gastric cancer patients

[1] Bray F(2018)Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries CA: A Cancer J Clin 68 394-171

[2] Ferlay J(2013)Survival of korean adult cancer patients by stage at diagnosis, 2006–2010: national cancer registry study Cancer Res Treatment 45 162-447

[3] Soerjomataram I(2010)Gastric cancer: a primer on the epidemiology and biology of the disease and an overview of the medical management of advanced disease J Natl Compreh Cancer Netw 8 437-4320

[4] Siegel RL(2016)Recent developments and innovations in gastric cancer World J Gastroenterol 22 4307-6360

[5] Torre LA(2015)Comparison of the 6th and 7th editions of the AJCC/UICC TNM staging system for gastric cancer focusing on the “N” parameter-related survival: the monoinstitutional NodUs Italian study World J Surg Oncol 13 215-5593

[6] Jemal A(2018)Identification of a novel cell cycle-related gene signature predicting survival in patients with gastric cancer J Cell Physiol. 234 6350-9269

[7] Jung KW(2018)LASSObased CoxPH model identifies an 11lncRNA signature for prognosis prediction in gastric cancer Mol Med Rep 18 5579-1630

[8] Won YJ(2018)A prognostic 3-long noncoding RNA signature for patients with gastric cancer J Cell Biochem 119 9261-6

[9] Kong HJ(2016)Biochemical methods to investigate lncRNA and the influence of lncRNA: protein complexes on chromatin Biochemistry 55 1615-8722

[10] Oh CM(2018)LINC00473 predicts poor prognosis and regulates cell migration and invasion in gastric cancer Biomed Pharmacother. 107 1-2586

[1] Bray F(2018)Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries CA: A Cancer J Clin 68 394-171

[2] Ferlay J(2013)Survival of korean adult cancer patients by stage at diagnosis, 2006–2010: national cancer registry study Cancer Res Treatment 45 162-447

[3] Soerjomataram I(2010)Gastric cancer: a primer on the epidemiology and biology of the disease and an overview of the medical management of advanced disease J Natl Compreh Cancer Netw 8 437-4320

[4] Siegel RL(2016)Recent developments and innovations in gastric cancer World J Gastroenterol 22 4307-6360

[5] Torre LA(2015)Comparison of the 6th and 7th editions of the AJCC/UICC TNM staging system for gastric cancer focusing on the “N” parameter-related survival: the monoinstitutional NodUs Italian study World J Surg Oncol 13 215-5593

[6] Jemal A(2018)Identification of a novel cell cycle-related gene signature predicting survival in patients with gastric cancer J Cell Physiol. 234 6350-9269

[7] Jung KW(2018)LASSObased CoxPH model identifies an 11lncRNA signature for prognosis prediction in gastric cancer Mol Med Rep 18 5579-1630

[8] Won YJ(2018)A prognostic 3-long noncoding RNA signature for patients with gastric cancer J Cell Biochem 119 9261-6

[9] Kong HJ(2016)Biochemical methods to investigate lncRNA and the influence of lncRNA: protein complexes on chromatin Biochemistry 55 1615-8722

[10] Oh CM(2018)LINC00473 predicts poor prognosis and regulates cell migration and invasion in gastric cancer Biomed Pharmacother. 107 1-2586