A transcription/translation-based gene signature predicts resistance to chemotherapy in breast cancer

被引:4
|
作者
He, Dong-Xu [1 ]
Xia, Yu-Dong [2 ]
Gu, Xiao-Ting [3 ]
Jin, Jian [3 ]
Ma, Xin [3 ]
机构
[1] Jiangnan Univ, Natl Engn Lab Cereal Fermentat Technol, Wuxi 214122, Peoples R China
[2] E GENE Technol Co Ltd, Shenzhen 518083, Peoples R China
[3] Jiangnan Univ, Sch Med & Pharmaceut, Dept Cellular & Mol Pharmacol, Wuxi 214122, Peoples R China
基金
中国国家自然科学基金;
关键词
Breast neoplasms; Chemotherapy; Decitabine; Drug resistance; Protein array analysis; NEOADJUVANT CHEMOTHERAPY; SURVIVAL;
D O I
10.1016/j.jpba.2014.10.018
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Although chemotherapy is widely used to treat human cancers, most chemotherapeutic agents only benefit a small fraction of patients because of the heterogeneity of cancers. Therefore, identifying of the sensitivity of cancers toward various chemotherapies would be important for choosing of chemotherapeutic regime. In this study, a 23-gene chemoresistance signature was developed from chemoresistant breast cancers. Functions of the genes in the signature were related with transcription and translation. The signature was indicative of chemoresistance and associated with poor prognosis in multiple chemotherapeutic agents and cancer types. Furthermore, by applying computational approaches, we identified several compounds that might specifically affect the chemoresistant signature. Decitabine (DAC) was the compound most likely to target the signature. In vitro and clinical analysis confirmed effect of DAC toward both breast cancer cell lines and ovarian cancers respectively. In conclusion, our study identified a chemoresistant signature that is both predictive and prognostic, and the signature-related chemoresistance could be suppressed by DAC treatment. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:500 / 508
页数:9
相关论文
共 50 条
  • [1] A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer
    Pierre Farmer
    Hervé Bonnefoi
    Pascale Anderle
    David Cameron
    Pratyakasha Wirapati
    Véronique Becette
    Sylvie André
    Martine Piccart
    Mario Campone
    Etienne Brain
    Gaëtan MacGrogan
    Thierry Petit
    Jacek Jassem
    Frédéric Bibeau
    Emmanuel Blot
    Jan Bogaerts
    Michel Aguet
    Jonas Bergh
    Richard Iggo
    Mauro Delorenzi
    [J]. Nature Medicine, 2009, 15 : 68 - 74
  • [2] A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer
    Farmer, Pierre
    Bonnefoi, Herve
    Anderle, Pascale
    Cameron, David
    Wirapati, Pratyakasha
    Becette, Veronique
    Andre, Sylvie
    Piccart, Martine
    Campone, Mario
    Brain, Etienne
    MacGrogan, Gaetan
    Petit, Thierry
    Jassem, Jacek
    Bibeau, Frederic
    Blot, Emmanuel
    Bogaerts, Jan
    Aguet, Michel
    Bergh, Jonas
    Iggo, Richard
    Delorenzi, Mauro
    [J]. NATURE MEDICINE, 2009, 15 (01) : 68 - 74
  • [3] A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer
    Iggo, R.
    Farmer, P.
    Wirapati, P.
    Anderle, P.
    Delorenzi, M.
    Bogaerts, J.
    Piccart, M.
    Cameron, D.
    Bergh, J.
    Bonnefoi, H.
    [J]. EJC SUPPLEMENTS, 2010, 8 (03): : 124 - 124
  • [4] Erratum: A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer
    Pierre Farmer
    Hervé Bonnefoi
    Pascale Anderle
    David Cameron
    Pratyaksha Wirapati
    Véronique Becette
    Sylvie André
    Martine Piccart
    Mario Campone
    Etienne Brain
    Gaëtan MacGrogan
    Thierry Petit
    Jacek Jassem
    Frédéric Bibeau
    Emmanuel Blot
    Jan Bogaerts
    Michel Aguet
    Jonas Bergh
    Richard Iggo
    Mauro Delorenzi
    [J]. Nature Medicine, 2009, 15 : 220 - 220
  • [5] A stroma-related gene signature predicts resistance to epirubicin-containing neoadjuvant chemotherapy in breast cancer
    Farmer, P.
    Bonnefoi, H.
    Anderle, P.
    Cameron, D.
    Wirapati, P.
    Becatte, V
    Andre, S.
    Piccart, M.
    Campone, M.
    Tabiana-Hulin, M.
    MacGrogan, G.
    Petit, T.
    Jassem, J.
    Rouanet, P.
    Blot, E.
    Bogaerts, J.
    Bergh, J.
    Iggc, R.
    Delorenzi, M.
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 2007, 106 : S11 - S11
  • [6] Gene signature predicts breast cancer risk
    Lemmens, N
    [J]. PHARMACOGENOMICS, 2005, 6 (02) : 101 - 101
  • [7] The 70-gene MammaPrint® signature predicts response to neoadjuvant chemotherapy in breast cancer
    Strayer, Marieke
    Glass, Annuska
    Hannemann, Juliane
    Wesseling, Jelle
    de Vijver, Marc van
    Rutgers, Emiel
    Peeters, Marie-Jeanne Vrancken
    van Tinteren, Harm
    Veer, Laura van 't
    Rodenhuis, Sjoerd
    [J]. CANCER RESEARCH, 2009, 69
  • [8] A gene transcription signature of obesity in breast cancer
    Chad J. Creighton
    Yvonne H. Sada
    Yiqun Zhang
    Anna Tsimelzon
    Helen Wong
    Bhuvanesh Dave
    Melissa D. Landis
    Harry D. Bear
    Angel Rodriguez
    Jenny C. Chang
    [J]. Breast Cancer Research and Treatment, 2012, 132 : 993 - 1000
  • [9] A gene transcription signature of obesity in breast cancer
    Creighton, Chad J.
    Sada, Yvonne H.
    Zhang, Yiqun
    Tsimelzon, Anna
    Wong, Helen
    Dave, Bhuvanesh
    Landis, Melissa D.
    Bear, Harry D.
    Rodriguez, Angel
    Chang, Jenny C.
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 2012, 132 (03) : 993 - 1000
  • [10] EarlyR signature predicts response to neoadjuvant chemotherapy in breast cancer
    Buechler, Steven A.
    Gokmen-Polar, Yesim
    Badve, Sunil S.
    [J]. BREAST, 2019, 43 : 74 - 80