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Comment
. 2008 Aug;14(8):812-3.
doi: 10.1038/nm0808-812.

Predicting the future for people with lung cancer

Yang Xie, John D Minna
Comment

Predicting the future for people with lung cancer

Yang Xie et al. Nat Med. 2008 Aug.

Abstract

A large multicenter study shows that lung adenocarcinomas have messenger RNA expression signatures that greatly add to the use of clinical data in predicting an individual’s survival (pages 822–827).

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Figures

Figure 1
Figure 1
Personalized medicine for lung cancer in the future. Integration of various molecular markers with clinical data will be used to develop prognosis and treatment plans for each individual patient. Standard clinical data will be integrated with tumor molecular markers, as well as germ line polymorphism differences and other potential biomarkers (such as circulating tumor cells). These data will feed into an integrated clinical and molecular predictor of prognosis, which could reveal the propensity of specific sites to develop metastases and the probability of tumor response to specific types of chemotherapy or to targeted agents and radiation therapy.
See this image and copyright information in PMC

Comment on

  • Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study.
    Director's Challenge Consortium for the Molecular Classification of Lung Adenocarcinoma; Shedden K, Taylor JM, Enkemann SA, Tsao MS, Yeatman TJ, Gerald WL, Eschrich S, Jurisica I, Giordano TJ, Misek DE, Chang AC, Zhu CQ, Strumpf D, Hanash S, Shepherd FA, Ding K, Seymour L, Naoki K, Pennell N, Weir B, Verhaak R, Ladd-Acosta C, Golub T, Gruidl M, Sharma A, Szoke J, Zakowski M, Rusch V, Kris M, Viale A, Motoi N, Travis W, Conley B, Seshan VE, Meyerson M, Kuick R, Dobbin KK, Lively T, Jacobson JW, Beer DG. Director's Challenge Consortium for the Molecular Classification of Lung Adenocarcinoma, et al. Nat Med. 2008 Aug;14(8):822-7. doi: 10.1038/nm.1790. Epub 2008 Jul 20. Nat Med. 2008. PMID: 18641660 Free PMC article.

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