Prognostic value of Ephrin A receptors in 3554 breast cancer patients: microarray data with 20 years of follow-up

被引:0
作者
Zhang, Xi [1 ]
Mu, Xin [2 ]
Huang, Ou [3 ]
Chen, Jialin [1 ]
Chen, Debo [1 ]
机构
[1] Fujian Med Univ, Hosp Quanzhou 1, Dept Breast Oncol, Quanzhou 362000, Fujian, Peoples R China
[2] Fujian Med Univ, Affiliated Hosp 2, Dept Urol, Quanzhou 362000, Fujian, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Med, Ruijin Hosp, Comprehens Breast Hlth Ctr, Shanghai 200025, Peoples R China
关键词
Breast cancer; Ephrin A receptors; Prognosis; Kaplan-Meier plotter; Hazard ratio (HR); TYROSINE KINASE; GENE-EXPRESSION; EPHA2; RECEPTOR; SURVIVAL; TARGET; INHIBITION; ACTIVATION; INVASION; PROFILE; LIGAND;
D O I
10.31083/j.ejgo4206171
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: Ephrin A (EphA) receptors are involved in tumorigenesis, metastasis, and angiogenesis, making them attractive candidates for new anti-cancer therapies. Here, we investigated the prognostic value of EphA receptor expression in breast cancer (BC). Methods: We analyzed EphA mRNA levels and survival information through the "Kaplan-Meier plotter" database. In total, we included 3554 breast cancer patients with a median follow-up of 20 years. A 95% confidence interval (CI) and Hazard ratio (HR) were used to assess the overall relative risk of BC outcome. Results: Our results showed that EphA1 (HR = 0.67, 95% CI: 0.6-0.75, p = 6.3 x 10(-)(12)), EphA2 (HR = 0.79, 95% CI: 0.7-0.89, p = 5.2 x 10(-)(5)), EphA3 (HR = 0.78, 95% CI: 0.69-0.87, p = 1.7 x 10(-)(5)), EphA4 (HR = 0.72, 95% CI: 0.61-0.86, p = 3 x 10(-)(4)), EphA5 (HR = 0.68, 95% CI: 0.57-0.82, p = 4.3 x 10(-)(5)) EphA6 (HR = 0.8, 95% CI: 0.66-0.98, p = 0.027), EphA8 (HR = 0.52, 95% CI: 0.44-0.62, p = 2.6 x 10(-)(14) ) and EphA10 (HR = 0.58, 95% CI: 0.5-0.68, p = 3.6 x 10(-)(11)) were correlated with better relapse-free survival (RFS), while EphA7 (HR = 1.19, 95% CI: 1.02-1.4, p = 0.031) was correlated with a worse RFS in breast cancer patients. Conclusions: Our analyisis demonstrate that profiling EphA receptor mRNA expression in BC patients has prognostic value.
引用
收藏
页码:1172 / 1179
页数:8
相关论文
共 45 条
[31]   Prognostic Breast Cancer Signature Identified from 3D Culture Model Accurately Predicts Clinical Outcome across Independent Datasets [J].
Martin, Katherine J. ;
Patrick, Denis R. ;
Bissell, Mina J. ;
Fournier, Marcia V. .
PLOS ONE, 2008, 3 (08)
[32]   Constitutive activation of the Raf-MAPK pathway causes negative feedback inhibition of Ras-PI3K-AKT and cellular arrest through the EphA2 receptor [J].
Menges, C. W. ;
McCance, D. J. .
ONCOGENE, 2008, 27 (20) :2934-2940
[33]   EphA2 Mediates Ligand-Dependent Inhibition and Ligand-Independent Promotion of Cell Migration and Invasion via a Reciprocal Regulatory Loop with Akt [J].
Miao, Hui ;
Li, Da-Qiang ;
Mukherjee, Amitava ;
Guo, Hong ;
Petty, Aaron ;
Cutter, Jennifer ;
Basilion, James P. ;
Sedor, John ;
Wu, Jiong ;
Danielpour, David ;
Sloan, Andrew E. ;
Cohen, Mark L. ;
Wang, Bingcheng .
CANCER CELL, 2009, 16 (01) :9-20
[34]   Viewing the Eph receptors with a focus on breast cancer heterogeneity [J].
Nikas, Ilias ;
Ryu, Han Suk ;
Theocharis, Stamatios .
CANCER LETTERS, 2018, 434 :160-171
[35]   Eph receptor-ephrin bidirectional signals that target Ras and Rho proteins [J].
Noren, NK ;
Pasquale, EB .
CELLULAR SIGNALLING, 2004, 16 (06) :655-666
[36]   EPH receptor signalling casts a wide net on cell behaviour [J].
Pasquale, EB .
NATURE REVIEWS MOLECULAR CELL BIOLOGY, 2005, 6 (06) :462-475
[37]   Eph-ephrin bidirectional signaling in physiology and disease [J].
Pasquale, Elena B. .
CELL, 2008, 133 (01) :38-52
[38]   Eph receptors and ephrins in cancer: bidirectional signalling and beyond [J].
Pasquale, Elena B. .
NATURE REVIEWS CANCER, 2010, 10 (03) :165-180
[39]   MEK1 is associated with carboplatin resistance and is a prognostic biomarker in epithelial ovarian cancer [J].
Penzvalto, Zsofia ;
Lanczky, Andras ;
Lenart, Julianna ;
Meggyeshazi, Nora ;
Krenacs, Tibor ;
Szoboszlai, Norbert ;
Denkert, Carsten ;
Pete, Imre ;
Gyorffy, Balazs .
BMC CANCER, 2014, 14
[40]   A genome-wide approach to link genotype to clinical outcome by utilizing next generation sequencing and gene chip data of 6,697 breast cancer patients [J].
Pongor, Lorinc ;
Kormos, Mate ;
Hatzis, Christos ;
Pusztai, Lajos ;
Szabo, Andras ;
Gyorffy, Balazs .
GENOME MEDICINE, 2015, 7