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Breath Analysis Offers Non-Invasive Method to Detect Early Lung Cancer

"Researchers are using breath analysis to detect the presence of lung cancer. Preliminary data indicate that this promising noninvasive tool offers the sensitivity of PET scanning, and has almost twice the specificity of PET for distinguishing patients with benign lung disease from those with early stage cancer."

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ScienceDaily  |  Apr 29, 2014

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ELCC 2014 News: Clinical Utility of miRNA Signature in Plasma of Smokers Included in LD-CT Lung Cancer Screening

"Recent results indicate that low-dose computed tomography (LD-CT) screening reduces lung cancer mortality in high risk subjects. However, high false positive rates, costs and potential harm highlight the need for complementary biomarkers. Led by Dr Ugo Pastorino, a group of researchers from Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy, retrospectively evaluated a non-invasive plasma miRNA signature classifier in prospectively collected samples from smokers within the randomised Multicentre Italian Lung Detection (MILD) trial. Their findings indicate that microRNA signature classifier has predictive, diagnostic and prognostic value and its combined use with LD-CT may improve screening performance. The results were presented in a proffered papers session at the 4th European Lung Cancer Conference (26-29 March 2014, Geneva, Switzerland)."


Editor's note: LD-CT is a lung cancer detection method that has been shown to reduce risk of death from lung cancer for high-risk patients. However, it sometimes leads to "false-positives," in which suspected cancer later turns out not to be cancer. A new, non-invasive blood test to look for specific kinds of miRNA molecules was shown to be promising as a potential companion test to complement LD-CT screening.

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ESMO  |  Mar 28, 2014

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