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Breakage fusion bridge cycles drive high oncogene copy number, but not intratumoral genetic heterogeneity or rapid cancer genome change.
Dehkordi, Siavash Raeisi; Wong, Ivy Tsz-Lo; Ni, Jing; Luebeck, Jens; Zhu, Kaiyuan; Prasad, Gino; Krockenberger, Lena; Xu, Guanghui; Chowdhury, Biswanath; Rajkumar, Utkrisht; Caplin, Ann; Muliaditan, Daniel; Coruh, Ceyda; Jin, Qiushi; Turner, Kristen; Teo, Shu Xian; Pang, Andy Wing Chun; Alexandrov, Ludmil B; Chua, Christelle En Lin; Furnari, Frank B; Paulson, Thomas G; Law, Julie A; Chang, Howard Y; Yue, Feng; DasGupta, Ramanuj; Zhao, Jean; Mischel, Paul S; Bafna, Vineet.
Affiliation
  • Dehkordi SR; Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
  • Wong IT; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Ni J; Sarafan ChEM-H, Stanford University, Stanford, CA, USA.
  • Luebeck J; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215 USA.
  • Zhu K; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115 USA.
  • Prasad G; Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
  • Krockenberger L; Bioinformatics and Systems Biology Graduate Program, University of California San Diego, San Diego, CA, USA.
  • Xu G; Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
  • Chowdhury B; Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
  • Rajkumar U; Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
  • Caplin A; Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
  • Muliaditan D; Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
  • Coruh C; Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
  • Jin Q; Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
  • Turner K; Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.
  • Teo SX; Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
  • Pang AWC; ClearNote Health, San Diego, CA 92121 USA.
  • Alexandrov LB; Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA.
  • Chua CEL; Boundless Bio, San Diego, CA, USA.
  • Furnari FB; Singapore Nuclear Research and Safety Initiative, National University of Singapore.
  • Paulson TG; Bionano Genomics, San Diego, CA92121, USA.
  • Law JA; Moores Cancer Center, UC San Diego Health, La Jolla, CA, USA.
  • Chang HY; Department of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, CA, USA.
  • Yue F; Department of Bioengineering, University of California at San Diego, La Jolla, CA, USA.
  • DasGupta R; Singapore Nuclear Research and Safety Initiative, National University of Singapore.
  • Zhao J; Department of Medicine, University of California at San Diego, La Jolla, CA, USA.
  • Mischel PS; Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Bafna V; Plant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
bioRxiv ; 2023 Dec 13.
Article de En | MEDLINE | ID: mdl-38168210
ABSTRACT
Oncogene amplification is a major driver of cancer pathogenesis. Breakage fusion bridge (BFB) cycles, like extrachromosomal DNA (ecDNA), can lead to high copy numbers of oncogenes, but their impact on intratumoral heterogeneity, treatment response, and patient survival are not well understood due to difficulty in detecting them by DNA sequencing. We describe a novel algorithm that detects and reconstructs BFB amplifications using optical genome maps (OGMs), called OM2BFB. OM2BFB showed high precision (>93%) and recall (92%) in detecting BFB amplifications in cancer cell lines, PDX models and primary tumors. OM-based comparisons demonstrated that short-read BFB detection using our AmpliconSuite (AS) toolkit also achieved high precision, albeit with reduced sensitivity. We detected 371 BFB events using whole genome sequences from 2,557 primary tumors and cancer lines. BFB amplifications were preferentially found in cervical, head and neck, lung, and esophageal cancers, but rarely in brain cancers. BFB amplified genes show lower variance of gene expression, with fewer options for regulatory rewiring relative to ecDNA amplified genes. BFB positive (BFB (+)) tumors showed reduced heterogeneity of amplicon structures, and delayed onset of resistance, relative to ecDNA(+) tumors. EcDNA and BFB amplifications represent contrasting mechanisms to increase the copy numbers of oncogene with markedly different characteristics that suggest different routes for intervention.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: BioRxiv Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: BioRxiv Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique