Diagnostic values of GHSR DNA methylation pattern in breast cancer

被引:16
作者
Botla, Sandeep Kumar [10 ]
Gholami, Amin Moghaddas [1 ]
Malekpour, Mahdi [2 ,3 ]
Moskalev, Evgeny A. [10 ]
Fallah, Mahdi [4 ]
Jandaghi, Pouria [5 ,10 ]
Aghajani, Ali [6 ]
Bondar, Irina S. [7 ]
Omranipour, Ramesh [2 ]
Malekpour, Fatemeh [8 ]
Mohajeri, Abbas [9 ]
Babadi, Azin Jahangiri [10 ]
Sahin, Oezguer [11 ]
Bubnov, Vladimir V. [12 ]
Najmabadi, Hossein [6 ]
Hoheisel, Joerg D. [10 ]
Riazalhosseini, Yasser [10 ]
机构
[1] Tech Univ Munich, Chair Prote & Bioanalyt, D-85354 Freising Weihenstephan, Germany
[2] Univ Tehran Med Sci, Inst Canc, Imam Khomeini Hosp, Tehran 1145765111, Iran
[3] Vanderbilt Univ, Med Ctr, Dept Med, Nashville, TN 37232 USA
[4] German Canc Res Ctr, Div Mol Genet Epidemiol, D-69120 Heidelberg, Germany
[5] Tehran Med Branch, IAU, Res Ctr Med Sci, Tehran, Iran
[6] Univ Social Welf & Rehabil Sci, Genet Res Ctr, Tehran 3834198571, Iran
[7] Reg Oncol Clin, UA-265026 Odessa, Ukraine
[8] Shahid Beheshti Univ Med Sci, Shohada Tajrish Hosp, Tehran 1989934148, Iran
[9] Zahravi Pharmaceut Co, Dept Res & Dev, Tabriz 515755367, Iran
[10] German Canc Res Ctr, Div Funct Genome Anal, D-69120 Heidelberg, Germany
[11] German Canc Res Ctr, Div Mol Genome Anal, D-69120 Heidelberg, Germany
[12] Odessa State Med Univ, Dept Genom & Immunol, UA-265026 Odessa, Ukraine
关键词
DNA methylation; Breast cancer; Diagnosis; GHSR; Epigenetics; NEEDLE-ASPIRATION-CYTOLOGY; FIELD DEFECT; BIOPSY; CELLS; HYPERMETHYLATION; IDENTIFICATION; EPIGENETICS; EPITHELIUM; RISK; AGE;
D O I
10.1007/s10549-012-2197-z
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
DNA methylation patterns have been recognised as cancer-specific markers with high potential for clinical applications. We aimed at identifying methylation variations that differentiate between breast cancers and other breast tissue entities to establish a signature for diagnosis. Candidate genomic loci were analysed in 117 fresh-frozen breast specimens, which included cancer, benign and normal breast tissues from patients as well as material from healthy individuals. A cancer-specific DNA methylation signature was identified by microarray analysis in a test set of samples (n = 52, p < 2.1 x 10(-4)) and its performance was assessed through bisulphite pyrosequencing in an independent validation set (n = 65, p < 1.9 x 10(-7)). The signature is associated with SFRP2 and GHSR genes, and exhibited significant hypermethylation in cancers. Normal-appearing breast tissues from cancer patients were also methylated at these loci but to a markedly lower extent. This occurrence of methylated DNA in normal breast tissue of cancer patients is indicative of an epigenetic field defect. Concerning diagnosis, receiver operating characteristic curves and the corresponding area under the curve (AUC) analysis demonstrated a very high sensitivity and specificity of 89.3 and 100 %, respectively, for the GHSR methylation pattern (AUC > 0.99). To date, this represents the DNA methylation marker of the highest sensitivity and specificity for breast cancer diagnosis. Functionally, ectopic expression of GHSR in a cell line model reduced breast cancer cell invasion without affecting cell viability upon stimulation of cells with ghrelin. Our data suggest a link between epigenetic down-regulation of GHSR and breast cancer cell invasion.
引用
收藏
页码:705 / 713
页数:9
相关论文
共 50 条
  • [1] Diagnostic values of GHSR DNA methylation pattern in breast cancer
    Sandeep Kumar Botla
    Amin Moghaddas Gholami
    Mahdi Malekpour
    Evgeny A. Moskalev
    Mahdi Fallah
    Pouria Jandaghi
    Ali Aghajani
    Irina S. Bondar
    Ramesh Omranipour
    Fatemeh Malekpour
    Abbas Mohajeri
    Azin Jahangiri Babadi
    Özgür Sahin
    Vladimir V. Bubnov
    Hossein Najmabadi
    Jörg D. Hoheisel
    Yasser Riazalhosseini
    Breast Cancer Research and Treatment, 2012, 135 : 705 - 713
  • [2] Investigation of GHSR and GHRL methylation in colorectal cancer
    Coppede, Fabio
    Stoccoro, Andrea
    Lazzarotti, Alessandro
    Spisni, Roberto
    Migliore, Lucia
    EPIGENOMICS, 2018, 10 (12) : 1525 - 1539
  • [3] DNA methylation and breast cancer: A way forward
    Vietri, Maria Teresa
    D'Elia, Giovanna
    Benincasa, Giuditta
    Ferraro, Giuseppe
    Caliendo, Gemma
    Nicoletti, Giovanni Francesco
    Napoli, Claudio
    INTERNATIONAL JOURNAL OF ONCOLOGY, 2021, 59 (05)
  • [4] The Mechanism of DNA Methylation and miRNA in Breast Cancer
    Ma, Lingyuan
    Li, Chenyu
    Yin, Hanlin
    Huang, Jiashu
    Yu, Shenghao
    Zhao, Jin
    Tang, Yongxu
    Yu, Min
    Lin, Jie
    Ding, Lei
    Cui, Qinghua
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (11)
  • [5] GHSR DNA hypermethylation is a common epigenetic alteration of high diagnostic value in a broad spectrum of cancers
    Moskalev, Evgeny A.
    Jandaghi, Pouria
    Fallah, Mahdi
    Manoochehri, Mehdi
    Botla, Sandeep K.
    Kolychev, Oleg V.
    Nikitin, Evgeny A.
    Bubnov, Vladymyr V.
    Doeberitz, M. von Knebel
    Strobel, Oliver
    Hackert, Thilo
    Buechler, Markus W.
    Giese, Nathalia
    Bauer, Andrea
    Muley, Thomas
    Warth, Arne
    Schirmacher, Peter
    Haller, Florian
    Hoheisel, Joerg D.
    Riazalhosseini, Yasser
    ONCOTARGET, 2015, 6 (06) : 4418 - 4427
  • [6] DNA Methylation-based Diagnosis and Treatment of Breast Cancer
    Peng, Xintong
    Zheng, Jingfan
    Liu, Tianzi
    Zhou, Ziwen
    Song, Chen
    Zhang, Danyan
    Zhang, Xinlong
    Huang, Yan
    CURRENT CANCER DRUG TARGETS, 2025, 25 (01) : 26 - 37
  • [7] Cancer diagnostic classifiers based on quantitative DNA methylation
    Lorincz, Attila T.
    EXPERT REVIEW OF MOLECULAR DIAGNOSTICS, 2014, 14 (03) : 293 - 305
  • [8] Targeting DNA methylation for treating triple-negative breast cancer
    Yu, Jia
    Zayas, Jacqueline
    Qin, Bo
    Wang, Liewei
    PHARMACOGENOMICS, 2019, 20 (16) : 1151 - 1157
  • [9] DNA methylation signatures for breast cancer classification and prognosis
    Szyf, Moshe
    GENOME MEDICINE, 2012, 4
  • [10] DNA methylation signatures for breast cancer classification and prognosis
    Moshe Szyf
    Genome Medicine, 4