Bioinformatics analysis of potential prognostic biomarkers among Kruppel-like transcription Factors (KLFs) in breast cancer

被引：13
作者：
Cheng, Lin [1 ,2 ]
Shi, Liang [2 ]
Dai, Hong [3 ]
机构：
[1] Nanjing Med Univ, Dept Breast Surg, Affiliated Changzhou 2 Peoples Hosp, Changzhou, Jiangsu, Peoples R China
[2] Nanjing Med Univ, Affiliated Hosp 1, Jiangsu Breast Dis Ctr, Nanjing, Jiangsu, Peoples R China
[3] Nanjing Med Univ, Affiliated Changzhou 2 Peoples Hosp, Dept Gen Surg, 29 Xinglong Lane, Changzhou 213003, Jiangsu, Peoples R China
来源：
CANCER BIOMARKERS | 2019年 / 26卷 / 04期
关键词：
KLFs; breast cancer; bioinformatics analysis; prognosis; PROGRESSION; INHIBITION; PROTEIN; GROWTH; MODEL; ER;
D O I：
10.3233/CBM-190199
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
BACKGROUND: Breast cancer is a worldwide leading cause of cancer mortality and it is associated with numerous tumor suppressor genes and oncogenes. Growing evidence exists that different KLFs play pivotal roles of in human malignancies. However, the function of KLFs in breast cancer development has remained uncovered. OBJECTIVE: To explore the potential prognostic biomarkers among KLFs in breast cancer. METHODS: In the present study, by using multiple large open databases, such as Oncomine database, Kaplan-Meier Plotter, and bc-GenExMiner online software, we deeply analyzed the expressions and clinical values about KLFs in patients with breast cancer. RESULTS: KLF4/5/8/9/10/15 were significantly down-regulated in breast cancer samples. KLF11 exerts significantly negative effect on the prognosis of patients, whereas expressions of KLF4/15 were associated with better prognosis. Moreover, the vital genes KLF4/11/15 showed significant association with clinical parameters including age, estrogen receptor, progesterone receptor, epidermal growth factor receptor-2, Scarff-Bloom-Richardson grade, and Nottingham prognostic index. CONCLUSIONS: Bioinformatics analysis suggested that KLF4/11/15, compared to other KLFs, might be potential prognostic indicators and treatment targets for breast cancer patients.
引用
收藏
页码：411 / 420
页数：10
相关论文
共 22 条
[1]   KLF4 suppresses estrogen-dependent breast cancer growth by inhibiting the transcriptional activity of ERα [J].
Akaogi, K. ;
Nakajima, Y. ;
Ito, I. ;
Kawasaki, S. ;
Oie, S-H ;
Murayama, A. ;
Kimura, K. ;
Yanagisawa, J. .
ONCOGENE, 2009, 28 (32) :2894-2902
[2]   Personalizing Breast Cancer Staging by the Inclusion of ER, PR, and HER2 [J].
Bagaria, Sanjay P. ;
Ray, Partha S. ;
Sim, Myung-Shin ;
Ye, Xing ;
Shamonki, Jaime M. ;
Cui, Xiaojiang ;
Giuliano, Armando E. .
JAMA SURGERY, 2014, 149 (02) :125-129
[3]   Grading systems in the cytological diagnosis of breast cancer: A review [J].
Bansal, Cherry ;
Pujani, Mukta ;
Sharma, Kiran Lata ;
Srivastava, A. N. ;
Singh, U. S. .
JOURNAL OF CANCER RESEARCH AND THERAPEUTICS, 2014, 10 (04) :839-845
[4]   The tumor suppressor KLF11 mediates a novel mechanism in transforming growth factor β-induced growth inhibition that is inactivated in pancreatic cancer [J].
Buck, Anita ;
Buchholz, Malte ;
Wagner, Martin ;
Adler, Guido ;
Gress, Thomas ;
Ellenrieder, Volker .
MOLECULAR CANCER RESEARCH, 2006, 4 (11) :861-872
[5]   The role of KLF4 in UVB-induced murine skin tumor development and its correlation with cyclin D1, p53, and p21Waf1/Cip1 in epithelial tumors of the human skin [J].
Choi, Woo Jin ;
Youn, Sung Hwan ;
Back, Jung Ho ;
Park, Saebomi ;
Park, Eun Joo ;
Kim, Kwang Joong ;
Park, Hye Rim ;
Kim, Arianna L. ;
Kim, Kwang Ho .
ARCHIVES OF DERMATOLOGICAL RESEARCH, 2011, 303 (03) :191-200
[6]   A functional family-wide screening of SP/KLF proteins identifies a subset of suppressors of KRAS-mediated cell growth [J].
Fernandez-Zapico, Martin E. ;
Lomberk, Gwen A. ;
Tsuji, Shoichiro ;
DeMars, Cathrine J. ;
Bardsley, Michael R. ;
Lin, Yi-Hui ;
Almada, Luciana L. ;
Han, Jing-Jing ;
Mukhopadhyay, Debabrata ;
Ordog, Tamas ;
Buttar, Navtej S. ;
Urrutia, Raul .
BIOCHEMICAL JOURNAL, 2011, 435 :529-537
[7]  
Foster KW, 2000, CANCER RES, V60, P6488
[8]   The Kruppel-like factor KLF15 regulates the insulin-sensitive glucose transporter GLUT4 [J].
Gray, S ;
Feinberg, MW ;
Hull, S ;
Kuo, CT ;
Watanabe, M ;
Sen, S ;
DePina, A ;
Haspel, R ;
Jain, MK .
JOURNAL OF BIOLOGICAL CHEMISTRY, 2002, 277 (37) :34322-34328
[9]   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 [J].
Gyoerffy, Balazs ;
Lanczky, Andras ;
Eklund, Aron C. ;
Denkert, Carsten ;
Budczies, Jan ;
Li, Qiyuan ;
Szallasi, Zoltan .
BREAST CANCER RESEARCH AND TREATMENT, 2010, 123 (03) :725-731
[10]   KLF4 and PCNA identify stages of tumor initiation in a conditional model of cutaneous squamous epithelial neoplasia [J].
Huang, CC ;
Liu, ZL ;
Li, XN ;
Bailey, SK ;
Nail, CD ;
Foster, KW ;
Frost, AR ;
Ruppert, JM ;
Lobo-Ruppert, SM .
CANCER BIOLOGY & THERAPY, 2005, 4 (12) :1401-1408
123