Clinical Impact of High-Throughput Gene Expression Studies in Lung Cancer

被引:18
|
作者
Beane, Jennifer [1 ,2 ]
Spira, Avrum [2 ]
Lenburg, Marc E. [2 ,3 ]
机构
[1] Boston Univ, Sch Med, Boston Med Ctr, Ctr Pulm, Boston, MA 02118 USA
[2] Boston Univ, Sch Engn, Bioinformat Program, Boston, MA 02118 USA
[3] Boston Univ, Sch Med, Dept Pathol & Lab Med, Boston, MA 02118 USA
关键词
Lung cancer; Gene expression; Microarrays; RETRACTED ARTICLE. SEE; LYMPH-NODE METASTASIS; SMALL-CELL; AIRWAY EPITHELIUM; SERIAL ANALYSIS; SQUAMOUS-CELL; MOLECULAR CLASSIFICATION; BRONCHIAL EPITHELIUM; PREDICT SURVIVAL; CIGARETTE-SMOKE;
D O I
10.1097/JTO.0b013e31819151f8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Lung cancer is the leading cause of cancer death in the United States and the world. The high mortality rate results, in part, from the lack of effective tools for early detection and the inability to identify subsets of patients who would benefit from adjuvant chemotherapy or targeted therapies. The development of high-throughput genome-wide technologies for measuring gene expression, such as microarrays, have the potential to impact the mortality rate of lung cancer patients by improving diagnosis, prognosis, and treatment. This review will highlight recent studies using high-throughput gene expression technologies that have led to clinically relevant insights into lung cancer. The hope is that diagnostic and prognostic biomarkers that have been developed as part of this work will soon be ready for wide-spread clinical application and will have a dramatic impact oil the evaluation of patients with suspect lung cancer, leading to effective personalized treatment regimens.
引用
收藏
页码:109 / 118
页数:10
相关论文
共 50 条
  • [31] High-throughput in vivo analysis of gene expression in Caenorhabditis elegans
    Hunt-Newbury, Rebecca
    Viveiros, Ryan
    Johnsen, Robert
    Mah, Allan
    Anastas, Dina
    Fang, Lily
    Halfnight, Erin
    Lee, David
    Lin, John
    Lorch, Adam
    McKay, Sheldon
    Okada, H. Mark
    Pan, Jie
    Schulz, Ana K.
    Tu, Domena
    Wong, Kim
    Zhao, Z.
    Alexeyenko, Andrey
    Burglin, Thomas
    Sonnhammer, Eric
    Schnabel, Ralf
    Jones, Steven J.
    Marra, Marco A.
    Baillie, David L.
    Moerman, Donald G.
    PLOS BIOLOGY, 2007, 5 (09) : 1981 - 1997
  • [32] High-Throughput Analysis of Gene Expression Data for Personalized Medicine
    Geraci, Filippo
    Leoncini, Mauro
    Montangero, Manuela
    Pellegrini, Marco
    Renda, Maria Elena
    ERCIM NEWS, 2007, (69): : 38 - 39
  • [33] Optimal timepoint sampling in high-throughput gene expression experiments
    Rosa, Bruce A.
    Zhang, Ji
    Major, Ian T.
    Qin, Wensheng
    Chen, Jin
    BIOINFORMATICS, 2012, 28 (21) : 2773 - 2781
  • [34] Express primer tool for high-throughput gene cloning and expression
    Yoon, JR
    Laible, PD
    Gu, M
    Scott, HN
    Collart, FR
    BIOTECHNIQUES, 2002, 33 (06) : 1328 - +
  • [35] ScanGEO: parallel mining of high-throughput gene expression data
    Koeppen, Katja
    Stanton, Bruce A.
    Hampton, Thomas H.
    BIOINFORMATICS, 2017, 33 (21) : 3500 - 3501
  • [36] A high-throughput method for monitoring changes in homeobox gene expression
    Reese, David H.
    Ramos-Valle, Moraima
    BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2007, 357 (04) : 882 - 888
  • [37] Gene expression rate comparison for multiple high-throughput datasets
    Chen, Chien-Ming
    Shih, Tsan-Huang
    Pai, Tun-Wen
    Liu, Zhen-Long
    Chang, Margaret Dah-Tsyr
    Hu, Chin-Hwa
    IET SYSTEMS BIOLOGY, 2013, 7 (05) : 135 - 142
  • [38] High-throughput functional screening for metastasis drivers of lung cancer
    Grzeskowiak, Caitlin L.
    Minelli, Rosalba
    Wu, Ping
    Kundu, Samrat
    Gibbons, Don L.
    Scott, Kenneth L.
    CANCER RESEARCH, 2015, 75
  • [39] High-Throughput In Vitro Gene Expression Profile to Screen of Natural Herbals for Breast Cancer Treatment
    Kui, Ling
    Kong, Qinghua
    Yang, Xiaonan
    Pan, Yunbing
    Xu, Zetan
    Wang, Shouling
    Chen, Jian
    Wei, Kunhua
    Zhou, Xiaolei
    Yang, Xingzhi
    Wu, Tingqin
    Mastan, Anthati
    Liu, Yao
    Miao, Jianhua
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [40] Differential Gene Expression and Weighted Correlation Network Dynamics in High-Throughput Datasets of Prostate Cancer
    Mohammad, Taj
    Singh, Prithvi
    Jairajpuri, Deeba Shamim
    Al-Keridis, Lamya Ahmed
    Alshammari, Nawaf
    Adnan, Mohd.
    Dohare, Ravins
    Hassan, Md Imtaiyaz
    FRONTIERS IN ONCOLOGY, 2022, 12