Prognostic and predictive biomarkers post curative intent therapy

被引:15
作者
Feldman, Rebecca [1 ]
Kim, Edward S. [2 ]
机构
[1] Carolinas HealthCare Syst, Levine Canc Inst, Dept Solid Tumor Oncol, Charlotte, NC USA
[2] Carolinas HealthCare Syst, Levine Canc Inst, Dept Solid Tumor Oncol & Invest Therapeut, Charlotte, NC USA
关键词
Adjuvant; biomarkers; lung cancer; CELL LUNG-CANCER; TUMOR LYMPHOCYTIC INFILTRATION; PRACTICAL MOLECULAR ASSAY; INDIVIDUAL PATIENT DATA; GENE-EXPRESSION; ADJUVANT CHEMOTHERAPY; POSTOPERATIVE RADIOTHERAPY; DNA-REPAIR; SIGNATURES; SURVIVAL;
D O I
10.21037/atm.2017.07.34
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Large-scale screening trials have demonstrated that early diagnosis of lung cancer results in a significant reduction in lung cancer mortality. Despite improvements in detecting more lung cancers at early stages, the 5-year survival rates of lung cancers diagnosed before widespread disease is only 30-50%. High rates of recurrence, despite early diagnosis, suggest the need to improve treatment strategies based on the likelihood of recurrence in patient subsets, as well as explore the role of predictive markers for therapy selection in the adjuvant setting. In the era of personalized medicine, there have been a wide array of molecular alterations and signatures studied for their potential prognostic and predictive utility, however most have failed to translate into clinical tools. This review will discuss progress made in clinical management of lung cancer, and recent progress in the development of patient selection tools for the refinement of early stage lung cancers.
引用
收藏
页数:13
相关论文
共 79 条
[1]   Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening [J].
Aberle, Denise R. ;
Adams, Amanda M. ;
Berg, Christine D. ;
Black, William C. ;
Clapp, Jonathan D. ;
Fagerstrom, Richard M. ;
Gareen, Ilana F. ;
Gatsonis, Constantine ;
Marcus, Pamela M. ;
Sicks, JoRean D. .
NEW ENGLAND JOURNAL OF MEDICINE, 2011, 365 (05) :395-409
[2]   Combination of Protein Coding and Noncoding Gene Expression as a Robust Prognostic Classifier in Stage I Lung Adenocarcinoma [J].
Akagi, Ichiro ;
Okayama, Hirokazu ;
Schetter, Aaron J. ;
Robles, Ana I. ;
Kohno, Takashi ;
Bowman, Elise D. ;
Kazandjian, Dickran ;
Welsh, Judith A. ;
Oue, Naohide ;
Saito, Motonobu ;
Miyashita, Masao ;
Uchida, Eiji ;
Takizawa, Toshihiro ;
Takenoshita, Seiichi ;
Skaug, Vidar ;
Mollerup, Steen ;
Haugen, Aage ;
Yokota, Jun ;
Harris, Curtis C. .
CANCER RESEARCH, 2013, 73 (13) :3821-3832
[3]  
ALBERTI W, 1995, BRIT MED J, V311, P899
[4]   Designing a definitive trial for adjuvant targeted therapy in genotype defined lung cancer: the ALCHEMIST trials [J].
Alden, Ryan S. ;
Mandrekar, Sumithra J. ;
Oxnard, Geoffrey R. .
CHINESE CLINICAL ONCOLOGY, 2015, 4 (03)
[5]  
American Cancer Society, 2016, TESTS NONSMALL CELL
[6]  
[Anonymous], 2014, J CLIN ONCOL S
[7]  
[Anonymous], J CLIN ONCOL S
[8]  
[Anonymous], CANC FACTS FIG 2017
[9]   Gene-expression profiles predict survival of patients with lung adenocarcinoma [J].
Beer, DG ;
Kardia, SLR ;
Huang, CC ;
Giordano, TJ ;
Levin, AM ;
Misek, DE ;
Lin, L ;
Chen, GA ;
Gharib, TG ;
Thomas, DG ;
Lizyness, ML ;
Kuick, R ;
Hayasaka, S ;
Taylor, JMG ;
Iannettoni, MD ;
Orringer, MB ;
Hanash, S .
NATURE MEDICINE, 2002, 8 (08) :816-824
[10]   ERCC1 and RRM1 in the International Adjuvant Lung Trial by Automated Quantitative in Situ Analysis [J].
Bepler, Gerold ;
Olaussen, Ken Andre ;
Vataire, Anne-Lise ;
Soria, Jean-Charles ;
Zheng, Zhong ;
Dunant, Ariane ;
Pignon, Jean-Pierre ;
Schell, Michael J. ;
Fouret, Pierre ;
Pirke, Robert ;
Filipits, Martin ;
Brambilla, Elisabeth .
AMERICAN JOURNAL OF PATHOLOGY, 2011, 178 (01) :69-78