Pan-cancer analysis of biallelic inactivation in tumor suppressor genes identifies KEAP1 zygosity as a predictive biomarker in lung cancer.
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| Title: | Pan-cancer analysis of biallelic inactivation in tumor suppressor genes identifies KEAP1 zygosity as a predictive biomarker in lung cancer. |
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| Authors: | Zucker M; Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Perry MA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Gould SI; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA., Elkrief A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Safonov A; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Thummalapalli R; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Mehine M; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Chakravarty D; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Brannon AR; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Ladanyi M; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Razavi P; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Donoghue MTA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Murciano-Goroff YR; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Grigoriadis K; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London, London, UK; Cancer Genome Evolution Research Group, University College London Cancer Institute, London, UK., McGranahan N; Cancer Research UK Lung Cancer Centre of Excellence, University College London, London, UK; Cancer Genome Evolution Research Group, University College London Cancer Institute, London, UK., Jamal-Hanjani M; Cancer Research UK Lung Cancer Centre of Excellence, University College London, London, UK; Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK; Department of Medical Oncology, University College London Hospitals, London, UK., Swanton C; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London, London, UK; Department of Medical Oncology, University College London Hospitals, London, UK., Chen Y; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Shen R; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Chandarlapaty S; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Solit DB; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Schultz N; Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA., Berger MF; Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA., Chang J; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Schoenfeld AJ; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Sánchez-Rivera FJ; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA., Reznik E; Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: reznike@mskcc.org., Bandlamudi C; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: bandlamc@mskcc.org. |
| Source: | Cell [Cell] 2025 Feb 06; Vol. 188 (3), pp. 851-867.e17. Date of Electronic Publication: 2024 Dec 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Cell Press Country of Publication: United States NLM ID: 0413066 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-4172 (Electronic) Linking ISSN: 00928674 NLM ISO Abbreviation: Cell Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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