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This gene expression signature found in peripheral blood mononuclear cells (PBMCs) can distinguish patients with early-stage NSCLC from appropriate at-risk controls with nonmalignant lung diseases common to both patient and control classes.

The case and control groups were similar in terms of age, race, gender, and smoking history. Fifty-five percent of the cancer patients were stage 1, 13% were stage 2, and 32% were stages 3 and 4. Eighty-four percent of the control group and 93% of the NSCLC group were current or previous smokers. The initial clinical use of our biomarkers is more likely to provide additional data to a clinician trying to evaluate a pulmonary nodule diagnosed by CT scan or chest X-ray. Based on prevalence data from a large CT screening study, the 29-gene NSCLC classifier has a positive predictive value of 0.06 and a negative predictive value of 1.00. This is comparable with the positive predictive and negative predictive values calculated using the same prevalence values for the 80-gene classifier derived from lung epithelial cells obtained from bronchial brushing recently described by Spira and colleagues (see Spira 80-marker panel for lung cancer and Spira 80-marker panel plus clinical factors in this database).

http://edrn.jpl.nasa.gov/bmdb/biomarkers/organs/553/477
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Announcement 01/31/2013

The next EDRN Scientific Workshop will take place:
- March 13-15, 2013, in Bethesda MD
Click here for meeting registration, hotel information, and agendas.

Subsequent EDRN SC meetings will be:
- September 10-12, 2013, in Seattle WA
- March 4-6, 2014, in Houston TX
- September 8-11, 2014, location TBD

Announcement



Cancer Biomarker Bioinformatics Workshop

Join us next spring for the Cancer Biomarker Bioinformatics Workshop.

  • April 29th–May 1st 2013 in Pasadena, CA
  • Register by March 15th 2013 to save a spot
  • Registration is free
  • Full program and other details available