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A new blood test that evaluates four protein indicators or biomarkers significantly improves detection of lung cancer risk, the International Agency for Research on Cancer (IARC) reported yesterday
. people who should have a CT scan, a radiological X-ray usually used for the diagnosis of this disease.
One of the study's lead researchers, Mattias Johansson, said it was "the first time that the badysis is used." Blood in an early detection context of lung cancer in healthy people. " This new model takes into account the individual's tobacco consumption and badyzes blood levels of the CA125, Pro-SFTPB, CYFRA 21-1 and CEA proteins, some of which, like CYFRA 21-1, are already screened individually for diagnose other types of cancer, such as ovarian cancer.
The study badyzed the blood of lung cancer patients. they had not developed the disease.
This new disease detection system, according to Johansson, identified 63% of future patients, between smokers and ex-smokers, while the percentage with current criteria for comprehensive follow-up. IARC director Christopher Wild said in a press release that "avoiding smoking is the best way to reduce the risk of developing cancer. In smokers and ex-high-risk smokers, early detection plays a key role in reducing this disease "The purpose of this study was to evaluate whether the badysis of the molecules present in Blood can facilitate the identification of smokers and ex-smokers who will suffer from lung cancer in the future.To do this, the authors badyzed blood samples from 108 smokers with lung cancer. 39 lung cancer within 12 months of blood collection and then compared with 216 other people who also smoked but did not develop the tumor (the control group). [19659007] Modify genes with electricity could revolutionize treatments for cancer and infectious diseases ” src=”https://images.clarin.com/collections/static/lazy_square.svg” data-big=”https://images.clarin.com/2018/07/12/By9WM-SQm_290x290__1.jpg” data-small=”https://images.clarin.com/2018/07/12/By9WM-SQm_110x110__1.jpg” observer=”” data-observer-function=”loadLazyImg”/>