ALERT!

This site is not optimized for Internet Explorer 8 (or older).

Please upgrade to a newer version of Internet Explorer or use an alternate browser such as Chrome or Firefox.

Lung Cancer - Genetics

October 2, 2017
Researchers used  a nanomaterial sensor array and pattern recognition statistical techniques to evaluate exhaled breath samples from patients with suspicious lesions on imaging.  A total of  119 patients were included, of whom 30 had benign lesions.  In cancer patients, the accuracy of discriminating EGFR mutations from wild-type EGFR was 83
October 2, 2017
The authors demonstrated substantial concordance between sequencing of 39 genes in a liquid assay and routine diagnostic testing in tissue in 82 patients.  Agreement was 98%, and the primary reason for failure was low levels of circulating DNA in the plasma.  Sensitivity was 70%, and specificity was 100%.  The system offers accurate identification of
August 2, 2017
This is an excellent summary of progress during the past year in all aspects of lung cancer, from prevention/detection through molecular therapies and future perspectives.  Each section is written by a handful of international experts. 
September 27, 2015
One fourth of lung cancer patients are never smokers, consisting of 53% of women with lung cancer and 15% of men; the majority of these are adenocarcinomas. Estrogens interact with two types of receptors, ERα and ERβ, and may play a role in the development of lung cancer.
August 26, 2015
Investigators from Stanford developed a nine-gene expression predictor for survival outcome in early-stage nonsquamous NSCLC. They developed and validated a quantitative real-time polymerase chain reaction assay easily applicable to routinely obtained paraffin-embedded tumor specimens.
August 22, 2015
This comprehensive review outlines changes in the WHO classification of lung tumors, chagnes that will affect our clinical practice in the near future.
July 20, 2015
This study explores the genetical contribution to lung cancer in non-smoking patients using a state-wide cancer registry for lung cancer (n=5544).    This study provides insight into which non-smoking patients are at risk for lung cancer.
July 16, 2015
In order to improve the diagnostic accuracy of bronchoscopy for lung cancer, epithelial cells were collected from normal appearing mucosa in the mainstem bronchus of patients suspected of having lung cancer during diagnostic bronchoscopy.  The samples were evaluated with a gene expression classifier.  43% of the standard examinations were nondiagnost
May 19, 2015
Pts with suspected lung cancer underwent sampling of normal-appearingbronchial epithelial cells in the main bronchi, unrelated to the suspected tumor.  Gene expression was analyzed and classified.  Classification for cancer was about 75% accurate. 
May 8, 2015
Targeting specific genetic changes in cancer cells offers patients personalized therapy for their tumors.  The number of identified abnormalities is rapidly increasing, and determining whether they represent driver mutations or background noise is increasingly difficult.  The IBM Watson supercomputer will be used by 10 US cancer centers to identify a

Pages