Lung cancer is by far the leading cause of cancer death among both men and women
in the United States. Our research program has played a role in many of the prevention, screening, and treatment advances that save lives from lung cancer today. And, we continue to fund research to help save even more lives in the future.
For 18 to 29-year-olds, the purple sections in 2019 and 2021 show that a large percentage of younger adults using e-cigarettes had never used traditional cigarettes. For all the other age ranges, the orange sections for both 2019 and 2021 show that the largest percentages of these populations using e-cigarettes had previously used traditional cigarettes.
Learn more about this graphic and the trends about the use of e-cigarette.
We study factors in the United States that predict what leads adults and adolescents to start and stop using any one of the many conventional or novel tobacco products. We track the use of cigarettes, cigars, and snuff along with electronic cigarettes (e-cigarettes), hookahs, and nicotine pouches. We also evaluate the value of tobacco control laws and rules—how effective they are in reducing the use of tobacco products in the US."
The new lung cancer screening guideline, published in the ACS flagship journal, CA: A Cancer Journal for Clinicians, recommends that primary care or specialty care providers refer 50 to 80-year-olds for yearly screening with LDCT if they currently smoke or used to smoke, have a 20-pack-year or more smoking history, and are in reasonably good health, without any symptoms of lung cancer.
How does the new guideline differ from the previously published guideline?
The image on the left is a flat, 2D image from an electronic microscope, with mitochondria circled by hand. The software's analysis generated a 3D image of mitochondrial networks in NSCLCs (on the right). The nucleus of a lung cancer adenocarcinoma cell is blue, and the mitochondrial networks are red.
The left image above shows manual labeling. A post-doctoral researcher traced each mitochondrion on a flat image from an electronic microscope. It took her more than 2 weeks to mark up hundreds of images.
In contrast, the scientists' deep-learning software analyzed 200 to 500 serial 2D images from the electron microscope, with 20,000 to 50,000 mitochondria within each tumor section in about 4 hours to create 3D images like the one shown on the right below.
Read more about how mitochondria move in different patterns to keep "feeding" a growing tumor.
The American Cancer Society funds scientists who conduct research about cancer at medical schools, universities, research institutes, and hospitals throughout the United States. We use a rigorous and independent peer review process to select the most innovative research projects proposals to fund.
Stats on the left are as of Aug. 1, 2023.
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