A low-density DNA microarray for analysis of markers in breast cancer

被引:13
|
作者
Lacroix, M
Zammatteo, N
Remacle, J
Leclercq, G
机构
[1] Free Univ Brussels, Inst Jules Bordet, Lab Jean Claude Heuson Cancerol Mammaire, B-1000 Brussels, Belgium
[2] Fac Univ Notre Dame Paix, Lab Biochim & Biol Cellulaire, B-5000 Namur, Belgium
来源
关键词
breast cancer; molecular markers; diagnosis; prognosis; prediction; microarray; chip; low-density; mRNA; DNA;
D O I
10.1177/172460080201700102
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Breast cancer remains a major cause of death in women from Western countries. In the near future, advances in both nucleic acids technology and tumor biology should be widely exploited to improve the diagnosis, prognosis, and outcome prediction of this disease. The DNA microarray, also called biochip, is a promising tool for performing massive, simultaneous, fast, and standardized analyses of multiple molecular markers in tumor samples. However, most currently available microarrays are expensive, which is mainly due to the amount (several thousands) of different DNA capture sequences that they carry. While these high-density microarrays are best suited for basic studies, their introduction into the clinical routine remains hypothetical. We describe here the principles of a low-density microarray, carrying only a few hundreds of capture sequences specific to markers whose importance in breast cancer is generally recognized or suggested by the current medical literature. We provide a list of about 250 of these markers. We also examine some potential difficulties (homologies between marker and/or variant sequences, size of sequences, etc.) associated with the production of such a low-cost microarray.
引用
收藏
页码:5 / 23
页数:19
相关论文
共 50 条
  • [31] Genetic markers for the prediction of breast density and breast cancer risk
    Biong, M.
    Edvardsen, H.
    Dragseth, V.
    Berg, P.
    Gram, I. T.
    Ursin, G.
    Borresen-Dale, A. L.
    Kristensen, V. N.
    EJC SUPPLEMENTS, 2008, 6 (09): : 200 - 200
  • [32] Low low-density lipoprotein cholesterol and cancer risk - Reply
    Alsheikh-Ali, Alawi A.
    Karas, Richard H.
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2008, 51 (01) : 92 - 92
  • [33] ELONGATIONAL BEHAVIOR OF LOW-DENSITY LINEAR LOW-DENSITY POLYETHYLENES
    LAMANTIA, FP
    VALENZA, A
    ACIERNO, D
    POLYMER ENGINEERING AND SCIENCE, 1988, 28 (02): : 90 - 95
  • [34] CHARACTERIZATION OF LOW-DENSITY LINEAR LOW-DENSITY POLYETHYLENE BLENDS
    GUNDERSON, JJ
    PARIKH, DR
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1989, 198 : 201 - POLY
  • [35] FLOW PROPERTIES OF LOW-DENSITY LINEAR LOW-DENSITY POLYETHYLENES
    ACIERNO, D
    CURTO, D
    LAMANTIA, FP
    VALENZA, A
    POLYMER ENGINEERING AND SCIENCE, 1986, 26 (01): : 28 - 33
  • [36] Low-density lipoprotein receptor mRNA in human breast cancer cells: Influence by PKC modulators
    Alfred Stranzl
    Helena Schmidt
    Rudolf Winkler
    Gert M. Kostner
    Breast Cancer Research and Treatment, 1997, 42 : 195 - 205
  • [37] Mitochondrial Metabolism Drives Low-density Lipoprotein-induced Breast Cancer Cell Migration
    Nobrega-pereira, Sandrina
    Santos, Francisco
    Santos, Miguel Oliveira
    Serafim, Teresa L.
    Lopes, Ana Patricia
    Coutinho, Diogo
    Carvalho, Filipa S.
    Domingues, Rosario M.
    Domingues, Pedro
    de Jesus, Bruno Bernardes
    Morais, Vanessa A.
    Dias, Sergio
    CANCER RESEARCH COMMUNICATIONS, 2023, 3 (04): : 709 - 724
  • [38] Role of low-density cholesterol and Interleukin-17 interaction in breast cancer pathogenesis and treatment
    Liu, Qingqing
    Yang, Rongyuan
    Wang, Dawei
    Liu, Qing
    CELL BIOLOGY INTERNATIONAL, 2025, 49 (02) : 139 - 153
  • [39] Predicting breast cancer behavior by microarray analysis
    M van de Vijver
    Breast Cancer Research, 5 (Suppl 1)
  • [40] Cortactin in Breast Cancer: Analysis with Tissue Microarray
    Sheen-Chen, Shyr-Ming
    Huang, Chun-Ying
    Liu, Yu-Yin
    Huang, Chao-Cheng
    Tang, Rei-Ping
    ANTICANCER RESEARCH, 2011, 31 (01) : 293 - 297