2018 August 09; 174(4): 1034–1035. doi:10.1016/j.cell.2018.07.034 | Matthew H. Bailey, Collin Tokheim, Eduard Porta-Pardo, Sohini Sengupta, Denis Bertrand, Amila Weerasinghe, Antonio Colaprico, Michael C. Wendl, Jaegil Kim, Brendan Reardon, Patrick Kwok-Shing Ng, Kang Jin Jeong, Song Cao, Zixing Wang, Jianjiang Gao, Qingsong Gao, Fang Wang, Eric Minwei Liu, Loris Mularoni, Carlota Rubio-Perez, Niranjan Nagarajan, Isidro Cortés-Ciriano, Daniel Cui Zhou, Wen-Wei Liang, Julian M. Hess, Venkata D. Yellapantula, David Tamborero, Abel Gonzalez-Perez, Chayaporn Suphavilai, Jia Yu Ko, Ekta Khurana, Peter J. Park, Eliezer M. Van Allen, Han Liang, The MC3 Working Group, The Cancer Genome Atlas Research Network, Michael S. Lawrence, Adam Godzik, Nuria Lopez-Bigas, Josh Stuart, David Wheeler, Gad Getz, Ken Chen, Alexander J. Lazar, Gordon B. Mills, Rachel Karchin, Li Ding
The article presents a comprehensive characterization of cancer driver genes and mutations, with the authors acknowledging two errors in their manuscript. The first error was in the STAR Methods section, where the figures cited for data corresponding to sample stratification by hypermutator status were incorrectly referenced. The correct figures should have been Figure S6A-S6C instead of Figures S7A-S7C. The second error involved the lists of highly frequent missense mutations for COAD (colon adenocarcinoma) and READ (rectum adenocarcinoma) in Figure S7. Initially, the authors mistakenly combined the two cancer types for analysis, despite them being listed separately in the figure's x-axis. After reordering the mutations by frequency for each cancer type independently, the information on highly frequent missense mutations for COAD and READ was updated in the revised Figure S7. These errors did not affect the major conclusions of the paper and have been corrected online. The authors apologize for any confusion caused by these errors. The corrected Figure S7 provides on-label/off-label calculations for druggable mutations in cancer, while the original Figure S7 is also included for reference. The study aims to provide a detailed understanding of cancer driver genes and mutations, which is crucial for developing targeted therapies. The authors emphasize the importance of accurate data in cancer research and the need for continuous review and correction of scientific work.The article presents a comprehensive characterization of cancer driver genes and mutations, with the authors acknowledging two errors in their manuscript. The first error was in the STAR Methods section, where the figures cited for data corresponding to sample stratification by hypermutator status were incorrectly referenced. The correct figures should have been Figure S6A-S6C instead of Figures S7A-S7C. The second error involved the lists of highly frequent missense mutations for COAD (colon adenocarcinoma) and READ (rectum adenocarcinoma) in Figure S7. Initially, the authors mistakenly combined the two cancer types for analysis, despite them being listed separately in the figure's x-axis. After reordering the mutations by frequency for each cancer type independently, the information on highly frequent missense mutations for COAD and READ was updated in the revised Figure S7. These errors did not affect the major conclusions of the paper and have been corrected online. The authors apologize for any confusion caused by these errors. The corrected Figure S7 provides on-label/off-label calculations for druggable mutations in cancer, while the original Figure S7 is also included for reference. The study aims to provide a detailed understanding of cancer driver genes and mutations, which is crucial for developing targeted therapies. The authors emphasize the importance of accurate data in cancer research and the need for continuous review and correction of scientific work.