New research uncovers why most life-long smokers never develop lung cancer
[Oct 27, 2022: Elaine Iandoli, Albert Einstein College of Medicine]
Study suggests that some smokers may have robust mechanisms that protect them from lung cancer. (CREDIT: iStock Photos)
Cigarette smoking is overwhelmingly the main cause of lung cancer, yet only a minority of smokers develop the disease. A study led by scientists at Albert Einstein College of Medicine and published online in Nature Genetics suggests that some smokers may have robust mechanisms that protect them from lung cancer by limiting mutations.
The findings could help identify those smokers who face an increased risk for the disease and therefore warrant especially close monitoring.
“This may prove to be an important step toward the prevention and early detection of lung cancer risk and away from the current herculean efforts needed to battle late-stage disease, where the majority of health expenditures and misery occur,” said Simon Spivack, M.D., M.P.H., a co-senior author of the study, professor of medicine, of epidemiology & population health, and of genetics at Einstein, and a pulmonologist at Montefiore Health System.
Overcoming Obstacles to Study Cell Mutations
It’s long been assumed that smoking leads to lung cancer by triggering DNA mutations in normal lung cells. “But that could never be proven until our study, since there was no way to accurately quantify mutations in normal cells,” said Jan Vijg, Ph.D., a study co-senior author and professor and chair of genetics, professor of ophthalmology and visual sciences, and the Lola and Saul Kramer Chair in Molecular Genetics at Einstein (also at the Center for Single-Cell Omics, Jiaotong University School of Medicine in Shanghai, China).
Dr. Vijg overcame that obstacle a few years ago by developing an improved method for sequencing the entire genomes of individual cells.
Single-cell whole-genome sequencing methods can introduce sequencing errors that are hard to distinguish from true mutations—a serious flaw when analyzing cells containing rare and random mutations.
Dr. Vijg solved this problem by developing a new sequencing technique called single-cell multiple displacement amplification (SCMDA). As reported in Nature Methods in 2017, this method accounts for and reduces sequencing errors.
The Einstein researchers used SCMDA to compare the mutational landscape of normal lung epithelial cells (i.e., cells lining the lung) from two types of people: 14 never-smokers, ages 11 to 86; and 19 smokers, ages 44 to 81, who had smoked a maximum of 116 pack years. One pack year of smoking equals 1 pack of cigarettes smoked per day for one year.
The cells were collected from patients who were undergoing bronchoscopy for diagnostic tests unrelated to cancer.
“These lung cells survive for years, even decades, and thus can accumulate mutations with both age and smoking,” said Dr. Spivack. “Of all the lung’s cell types, these are among the most likely to become cancerous.”
Mutations Caused by Smoking
The researchers found that mutations (single-nucleotide variants and small insertions and deletions) accumulated in the lung cells of non-smokers as they age—and that significantly more mutations were found in the lung cells of the smokers. “This experimentally confirms that smoking increases lung cancer risk by increasing the frequency of mutations, as previously hypothesized,” said Dr. Spivack. “This is likely one reason why so few non-smokers get lung cancer, while 10% to 20% of lifelong smokers do.”
Effects of smoking cessation on mutation frequency: Median number of SNV and INDEL frequency among former smokers (n = 7) and current smokers (n = 12). a, each data point indicates the median value and the minimal and maximal range of SNV frequency of 3-8 nuclei per subject. b, each data point indicates the median value and the minimal and maximal range of INDEL frequency of 3-8 nuclei per subject. P values were obtained by likelihood ratio tests using negative binomial mixed-effect model. (CREDIT: Nature Methods)
Another finding from the study: The number of cell mutations detected in lung cells increased in a straight line with the number of pack years of smoking—and, presumably, the risk for lung cancer increased as well. But interestingly, the rise in cell mutations halted after 23 pack years of exposure.
“The heaviest smokers did not have the highest mutation burden,” said Dr. Spivack. “Our data suggest that these individuals may have survived for so long in spite of their heavy smoking because they managed to suppress further mutation accumulation. This leveling off of mutations could stem from these people having very proficient systems for repairing DNA damage or detoxifying cigarette smoke.”
INDEL frequency and smoking dose. a, INDEL frequency versus smoking pack-years across all individuals (n = 33). Each dot indicates the median value and the minimal and maximal range of INDEL frequency of individuals. b, INDEL frequency of different group of individuals according to the smoking pack-years, with boxes indicating median number and interquartile range of the never (n = 14), light (n = 6), moderate (n = 6), and heavy (n = 7) smoking group, respectively. (CREDIT: Nature Methods)
The finding has led to a new research direction. “We now wish to develop new assays that can measure someone’s capacity for DNA repair or detoxification, which could offer a new way to assess one’s risk for lung cancer,” said Dr. Vijg.
The study is titled, “Single-cell analysis of somatic mutations in human bronchial epithelial cells in relation to aging and smoking.” Additional Einstein authors include: Zhenqiu Huang, Ph.D., Shixiang Sun, Ph.D., Moonsook Lee, M.S., Yakov Peter, Ph.D., Ali Sadoughi, M.D., Chirag Shah, M.D., and Kenny Ye, Ph.D., Miao Shi, Ph.D., Spencer Waldman, B.S., Ava Marsh, B.A., Taha Siddiqui, M.B.B.S., Alexander Y. Maslov, M.D., Ph.D. (also at Voronezh State University of Engineering Technology, Voronezh, Russia), and Xiao Dong, Ph.D. (also at University of Minnesota, Minneapolis MN).
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Note: Materials provided above by Albert Einstein College of Medicine. Content may be edited for style and length.
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