Genomic medicine in non-small cell lung cancer: Paving the path to personalized care

被引:16
作者
Sriram, Krishna Bajee [1 ,2 ]
Larsen, Jill Everland [2 ,3 ]
Yang, Ian Anthony [2 ]
Bowman, Rayleen Veronica [2 ]
Fong, Kwun Meng [2 ]
机构
[1] Prince Charles Hosp, Dept Thorac Med, Chermside, Qld 4032, Australia
[2] Univ Queensland, Brisbane, Qld, Australia
[3] Univ Texas SW Med Ctr Dallas, Hamon Ctr Therapeut Oncol Res, Dallas, TX 75390 USA
关键词
genomics; microarray; non-small cell lung cancer; personalized medicine; SIGNATURE PREDICTS SURVIVAL; GENE-EXPRESSION SIGNATURES; RETRACTED ARTICLE. SEE; SQUAMOUS-CELL; ADJUVANT CHEMOTHERAPY; CLINICAL-PRACTICE; MULTIGENE ASSAY; STAGE; ADENOCARCINOMA; PROGNOSIS;
D O I
10.1111/j.1440-1843.2010.01892.x
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Lung cancer is the commonest cause of cancer-related mortality and non-small cell lung cancer (NSCLC) accounts for 80% of all lung cancer. The prognosis of NSCLC remains poor across all stages, despite advances in staging techniques and treatments. The findings of recent high-throughput mRNA microarray studies have shown potential in refining current NSCLC diagnosis, classification, prognosis and treatment paradigms. Emerging microarray studies of microRNA, DNA copy number and methylation profiles are also providing novel insights into the biology of NSCLC. Currently there are several challenges, such as the reproducibility and cost of microarray platforms that will need to be addressed prior to the implementation of these genomic technologies to routine thoracic oncology practice. In addition, genomic tests (such as prognosis and prediction gene expression signatures) will need to be validated in well designed prospective studies that aim to answer clinically relevant questions. If successful, the integration of microarray-based genomic information with existing clinicopathological models may enhance the ability of clinicians to match the most effective treatment to an individual patient. Such a strategy may improve survival and reduce treatment-related morbidity in NSCLC patients.
引用
收藏
页码:257 / 263
页数:7
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