RETRACTED: A genomic strategy to refine prognosis in early-stage non-small-cell lung cancer (Retracted Article. See vol 356, pg 201, 2007)

被引:431
作者
Potti, Anil
Mukherjee, Sayan
Petersen, Rebecca
Dressman, Holly K.
Bild, Andrea
Koontz, Jason
Kratzke, Robert
Watson, Mark A.
Kelley, Michael
Ginsburg, Geoffrey S.
West, Mike
Harpole, David H., Jr.
Nevins, Joseph R.
机构
[1] Duke Univ, Duke Inst Genome Sci & Policy, Durham, NC 27708 USA
[2] Duke Univ, Inst Stat & Decis Sci, Durham, NC 27708 USA
[3] Duke Univ, Med Ctr, Dept Med, Durham, NC 27710 USA
[4] Duke Univ, Med Ctr, Dept Surg, Durham, NC 27710 USA
[5] Duke Univ, Med Ctr, Dept Mol Genet & Microbiol, Durham, NC 27710 USA
[6] Univ Minnesota, Dept Med, Minneapolis, MN 55455 USA
[7] Washington Univ, Sch Med, Dept Pathol & Immunol, St Louis, MO USA
关键词
D O I
10.1056/NEJMoa060467
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUND: Clinical trials have indicated a benefit of adjuvant chemotherapy for patients with stage IB, II, or IIIA -- but not stage IA -- non-small-cell lung cancer (NSCLC). This classification scheme is probably an imprecise predictor of the prognosis of an individual patient. Indeed, approximately 25 percent of patients with stage IA disease have a recurrence after surgery, suggesting the need to identify patients in this subgroup for more effective therapy. METHODS: We identified gene-expression profiles that predicted the risk of recurrence in a cohort of 89 patients with early-stage NSCLC (the lung metagene model). We evaluated the predictor in two independent groups of 25 patients from the American College of Surgeons Oncology Group (ACOSOG) Z0030 study and 84 patients from the Cancer and Leukemia Group B (CALGB) 9761 study. RESULTS: The lung metagene model predicted recurrence for individual patients significantly better than did clinical prognostic factors and was consistent across all early stages of NSCLC. Applied to the cohorts from the ACOSOG Z0030 trial and the CALGB 9761 trial, the lung metagene model had an overall predictive accuracy of 72 percent and 79 percent, respectively. The predictor also identified a subgroup of patients with stage IA disease who were at high risk for recurrence and who might be best treated by adjuvant chemotherapy. CONCLUSIONS: The lung metagene model provides a potential mechanism to refine the estimation of a patient's risk of disease recurrence and, in principle, to alter decisions regarding the use of adjuvant chemotherapy in early-stage NSCLC.
引用
收藏
页码:570 / 580
页数:11
相关论文
共 31 条
  • [1] Gene-expression profiles predict survival of patients with lung adenocarcinoma
    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
    [J]. NATURE MEDICINE, 2002, 8 (08) : 816 - 824
  • [2] Survival trees for analyzing clinical outcome in lung adenocarcinomas based on gene expression profiles:: Identification of neogenin and diacylglycerol kinase α expression as critical factors
    Berrar, D
    Sturgeon, B
    Bradbury, I
    Downes, CS
    Dubitzky, W
    [J]. JOURNAL OF COMPUTATIONAL BIOLOGY, 2005, 12 (05) : 534 - 544
  • [3] Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses
    Bhattacharjee, A
    Richards, WG
    Staunton, J
    Li, C
    Monti, S
    Vasa, P
    Ladd, C
    Beheshti, J
    Bueno, R
    Gillette, M
    Loda, M
    Weber, G
    Mark, EJ
    Lander, ES
    Wong, W
    Johnson, BE
    Golub, TR
    Sugarbaker, DJ
    Meyerson, M
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (24) : 13790 - 13795
  • [4] Statistical modeling: The two cultures
    Breiman, L
    [J]. STATISTICAL SCIENCE, 2001, 16 (03) : 199 - 215
  • [5] Prognostic factors in non-small cell lung cancer - A decade of progress
    Brundage, MD
    Davies, D
    Mackillop, WJ
    [J]. CHEST, 2002, 122 (03) : 1037 - 1057
  • [6] Protein profiles associated with survival in lung adenocarcinoma
    Chen, GA
    Gharib, TG
    Wang, H
    Huang, CC
    Kuick, R
    Thomas, DG
    Shedden, KA
    Misek, DE
    Taylor, JMG
    Giordano, TJ
    Kardia, SLR
    Iannettoni, MD
    Yee, J
    Hogg, PJ
    Orringer, MB
    Hanash, SM
    Beer, DG
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (23) : 13537 - 13542
  • [7] A biologic risk model for stage I lung cancer: Immunohistochemical analysis of 408 patients with the use of ten molecular markers
    D'Amico, TA
    Massey, M
    Herndon, JE
    Moore, MB
    Harpole, DH
    [J]. JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, 1999, 117 (04) : 736 - 742
  • [8] Denison DGT, 1998, BIOMETRIKA, V85, P363
  • [9] Douillard JY, 2005, J CLIN ONCOL, V23, P7013
  • [10] Diversity of gene expression in adenocarcinoma of the lung
    Garber, ME
    Troyanskaya, OG
    Schluens, K
    Petersen, S
    Thaesler, Z
    Pacyna-Gengelbach, M
    van de Rijn, M
    Rosen, GD
    Perou, CM
    Whyte, RI
    Altman, RB
    Brown, PO
    Botstein, D
    Petersen, I
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (24) : 13784 - 13789