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Abstract Understanding lung cancer evolution can identify tools for intercepting its growth1,2. Here, in a landscape analysis of 1,024 lung adenocarcinomas (LUADs) with deep whole-genome sequencing integrated with multiomic data, we identified 542 LUADs with a diverse clonal architecture. In this group, we observed divergent evolutionary trajectories based on tobacco smoking exposure, ancestry and sex.
1Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA 2Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA 3Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA 4Genome Modification Core, Frederick National Lab for Cancer Research, Frederick, MD, USA 5Institute of...
Correction to: Nature Communications https://doi.org/10.1038/s41467-024-52356-9, published online 12 September 2024 The original version of the Supplementary Information associated with this Article included an incorrect Supplementary Data 1-18 file, in which specific legends for each Supplementary Data table were missing. The HTML has been updated to include a corrected version of Supplementary Data 1-18.
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