Progression-Free Survival in Ovarian Cancer Is Reflected in Epigenetic DNA Methylation Profiles

被引:39
作者
Bauerschlag, Dirk O. [1 ]
Ammerpohl, Ole [3 ]
Braeutigam, Karen [1 ]
Schem, Christian [4 ]
Lin, Qiong [2 ]
Weigel, Marion T. [4 ]
Hilpert, Felix [4 ]
Arnold, Norbert [4 ]
Maass, Nicolai [1 ]
Meinhold-Heerlein, Ivo [1 ]
Wagner, Wolfgang [2 ]
机构
[1] Rhein Westfal TH Aachen, Univ Med Ctr Aachen, Dept Gynecol, DE-52074 Aachen, Germany
[2] Rhein Westfal TH Aachen, Univ Med Ctr Aachen, Dept Cell Biol, Helmholtz Inst Biomed Engn, DE-52074 Aachen, Germany
[3] Univ Med Ctr Schleswig Holstein, Inst Human Genet, Kiel, Germany
[4] Univ Med Ctr Schleswig Holstein, Dept Gynecol, Kiel, Germany
关键词
Ovarian cancer; Methylation; Epigenetic modification; Progression-free interval; Microarray; CPG-ISLAND METHYLATION; PHASE-III TRIAL; 1ST-LINE TREATMENT; INTERGROUP TRIAL; GENE-EXPRESSION; PROMOTER HYPERMETHYLATION; PROSTATE-CANCER; CARBOPLATIN; PACLITAXEL; BREAST;
D O I
10.1159/000327746
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: Many patients with ovarian cancer disease relapse within 6 months after adjuvant chemotherapy, with a limited prognosis. Epigenetic modifications have been shown to play an important role in tumor development and formation. Therefore, global analysis of DNA methylation patterns might reveal specific CpG sites that correlate with progression-free interval (PFI) after therapy. Methods: Twenty samples of advanced ovarian cancer with a predominantly serous papillary histological subtype were subjected to DNA methylation profiling. Illumina HumanMethylation27 BeadChip technology was used for simultaneous analysis of 27,578 CpG sites in 1 14,000 genes. Results: Differential DNA methylation of various cytosines correlated with PFI. However, this becomes only significant by classification according to PFI with a cutoff of 1 28 months. Longer survival was associated with hypomethylation at specific CpG sites (e. g. GREB1, TGIF and TOB1) and hypermethylation in other genes (e. g. TMCO5, PTPRN and GUCY2C). Gene ontology analysis revealed that differentially methylated genes were significantly overrepresented in the categories telomere organization, mesoderm development and immune regulation. Conclusion: Epigenetic modifications at specific CpG sites correlate with PFI in ovarian cancer. Therefore, such analysis might be of prognostic value. Copyright (C) 2011 S. Karger AG, Basel
引用
收藏
页码:12 / 20
页数:9
相关论文
共 50 条
  • [31] Circulating Cell-Free DNA Methylation Profiles in the Early Detection of Ovarian Cancer: A Scoping Review of the Literature
    Guo, Xiaoyue M.
    Miller, Heather
    Matsuo, Koji
    Roman, Lynda D.
    Salhia, Bodour
    CANCERS, 2021, 13 (04) : 1 - 26
  • [32] Predicting progression-free survival in patients with epithelial ovarian cancer using an interpretable random forest model
    Jian, Lian
    Chen, Xiaoyan
    Hu, Pingsheng
    Li, Handong
    Fang, Chao
    Wang, Jing
    Wu, Nayiyuan
    Yu, Xiaoping
    HELIYON, 2024, 10 (15)
  • [33] Carboplatin–paclitaxel-induced leukopenia and neuropathy predict progression-free survival in recurrent ovarian cancer
    C K Lee
    H Gurney
    C Brown
    R Sorio
    N Donadello
    G Tulunay
    W Meier
    M Bacon
    J Maenpaa
    E Petru
    N Reed
    V Gebski
    E Pujade-Lauraine
    S Lord
    R J Simes
    M Friedlander
    British Journal of Cancer, 2011, 105 : 360 - 365
  • [34] Carboplatin-paclitaxel-induced leukopenia and neuropathy predict progression-free survival in recurrent ovarian cancer
    Lee, C. K.
    Gurney, H.
    Brown, C.
    Sorio, R.
    Donadello, N.
    Tulunay, G.
    Meier, W.
    Bacon, M.
    Maenpaa, J.
    Petru, E.
    Reed, N.
    Gebski, V.
    Pujade-Lauraine, E.
    Lord, S.
    Simes, R. J.
    Friedlander, M.
    BRITISH JOURNAL OF CANCER, 2011, 105 (03) : 360 - 365
  • [35] Prior oral contraceptive use in ovarian cancer patients: assessing associations with overall and progression-free survival
    Aminah Jatoi
    Nathan R. Foster
    Kimberly R. Kalli
    Robert A. Vierkant
    Zhiying Zhang
    Melissa C. Larson
    Brooke Fridley
    Ellen L. Goode
    BMC Cancer, 15
  • [36] A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients
    Arezzo, Francesca
    Cormio, Gennaro
    La Forgia, Daniele
    Santarsiero, Carla Mariaflavia
    Mongelli, Michele
    Lombardi, Claudio
    Cazzato, Gerardo
    Cicinelli, Ettore
    Loizzi, Vera
    ARCHIVES OF GYNECOLOGY AND OBSTETRICS, 2022, 306 (06) : 2143 - 2154
  • [37] DNA methylation and ovarian cancer
    Ahluwalia, A
    Yan, P
    Hurteau, JA
    Bigsby, RM
    Jung, SH
    Huang, THM
    Nephew, KP
    GYNECOLOGIC ONCOLOGY, 2001, 82 (02) : 261 - 268
  • [38] Analysis of progression-free and overall survival in ovarian cancer: Bevacizumab treatment outcomes using historical cohort
    Conic, I.
    Nedovic, B.
    Zivadinovic, R.
    Petric, A.
    Stojnev, S.
    Petkovic, I.
    Krtinic, D.
    Radic, M.
    PHARMAZIE, 2024, 79 (09): : 195 - 201
  • [39] The relationship of VEGF polymorphisms with serum VEGF levels and progression-free survival in patients with epithelial ovarian cancer
    Steffensen, K. D.
    Waldstrom, M.
    Brandslund, Ivan
    Jakobsen, A.
    GYNECOLOGIC ONCOLOGY, 2010, 117 (01) : 109 - 116
  • [40] MRI radiomics predicts progression-free survival in prostate cancer
    Jia, Yushan
    Quan, Shuai
    Ren, Jialiang
    Wu, Hui
    Liu, Aishi
    Gao, Yang
    Hao, Fene
    Yang, Zhenxing
    Zhang, Tong
    Hu, He
    FRONTIERS IN ONCOLOGY, 2022, 12