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JNCI Journal of the National Cancer Institute 2007 99(11):825; doi:10.1093/jnci/djk233
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© Oxford University Press 2007.

MEMO TO THE MEDIA

Press Release

New Algorithms Classify Outcomes of Non-Small-Cell Lung Cancer Patients

Liz Savage

jncimedia@oxfordjournals.org
301-841-1287
Journal of the National Cancer Institute

The first 10% of the full text of this article appears below.

Two research teams have developed models for classifying the clinical outcomes of patients with non–small-cell lung cancer (NSCLC) using mass spectrometry techniques. The studies are published in the June 6 Journal of the National Cancer Institute.

Currently, clinicians do not have adequate methods for determining the prognosis of patients with NSCLC or for determining which patients will benefit from treatment with certain drugs. The new models could help physicians decide who will benefit from certain treatment options.

In one study, an . . . [Full Text of this Article]

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