Evidence map›Paper›PMID 39929823›Full record

ArticleNature communications2025

Breakage fusion bridge cycles drive high oncogene number with moderate intratumoural heterogeneity.

Siavash Raeisi Dehkordi, Ivy Tsz-Lo Wong, Jing Ni, Jens Luebeck, Kaiyuan Zhu, Gino Prasad, Lena Krockenberger, Guanghui Xu, Biswanath Chowdhury, Utkrisht Rajkumar and 20 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Targeting extrachromosomal DNA in human cancers.Nature reviews. Drug discovery · 2026
    Review
  7. Review
  8. Fast and accurate resolution of ecDNA sequence using Cycle-Extractor.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Article
  11. scAmp analyzes focal gene amplifications at single-cell resolution.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. medRxiv : the preprint server for health sciences · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Siavash Raeisi Dehkordi *Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
Ivy Tsz-Lo Wong *Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-9761-3422
Jing Ni *Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Jens LuebeckDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0003-4391-979X
Kaiyuan ZhuDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0001-9976-6505
Gino PrasadDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0003-4590-1278
Lena KrockenbergerDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.ORCID http://orcid.org/0009-0002-5987-5496
Guanghui XuPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.ORCID http://orcid.org/0000-0001-7986-7077
Biswanath ChowdhuryDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
Utkrisht RajkumarDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
Ann CaplinDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
Daniel MuliaditanGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore.ORCID http://orcid.org/0000-0001-7277-9744
Aditi GnanasekarDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Ceyda CoruhPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
Qiushi JinDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA.
Kristen TurnerBoundless Bio, San Diego, CA, USA.
Shu Xian TeoSingapore Nuclear Research and Safety Initiative, National University of Singapore, Singapore, 138672, Republic of Singapore.
Andy Wing Chun PangBionano Genomics, San Diego, CA92121, USA.ORCID http://orcid.org/0000-0002-0558-3802
Ludmil B AlexandrovMoores Cancer Center, UC San Diego Health, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-3596-4515
Christelle En Lin ChuaSingapore Nuclear Research and Safety Initiative, National University of Singapore, Singapore, 138672, Republic of Singapore.
Frank B FurnariDepartment of Medicine, University of California at San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-1909-4361
John MaciejowskiMolecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-8134-9308
Thomas G PaulsonTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3857-2683
Julie A LawPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.ORCID http://orcid.org/0000-0001-7472-7753
Howard Y ChangCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-9459-4393
Feng YueDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-7954-5462
Ramanuj DasGuptaGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore.ORCID http://orcid.org/0000-0001-9015-3729
Jean ZhaoDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA. Jean_Zhao@dfci.harvard.edu.ORCID http://orcid.org/0000-0002-4561-5688
Paul S MischelDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA. pmischel@stanford.edu.ORCID http://orcid.org/0000-0002-4560-2211
Vineet BafnaDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA. vbafna@ucsd.edu.ORCID http://orcid.org/0000-0002-5810-6241

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
PHYLOGENIES of Barrett's Esophagus LineagesP01CA091955 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GRADY, WILLIAM MALLORY · 2002 to 2019
$35.9M
Tissue and Pathology CoreP50CA168504 · NCI · DANA-FARBER CANCER INST · PI Nabihah Tayob · 2013 to 2026
$30.1M
Integrating targeted therapy and immunotherapy to break through cancerR35CA210057 · NCI · DANA-FARBER CANCER INST · PI Jean Zhao · 2016 to 2026
$10.8M
eDyNAmiC - STANFORDOT2CA278688 · NCI · STANFORD UNIVERSITY · PI PAUL S MISCHEL · 2022 to 2026
$7.7M
Software and algorithms for elucidating the structure, function, and evolution of extrachromosomal DNAU24CA264379 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAFNA, VINEET, MESIROV, JILL P. · 2021 to 2025
$3.5M
Computational methods for detecting patterns of complex genomic variationR01GM114362 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2016 to 2026
$3.1M
eDyNAmiC - UCSDOT2CA278635 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2022 to 2026
$1.8M
Cancer Research UK (CRUK) CGCATF-2021/100025NCI NIH HHS OT2 CA278635NCI NIH HHS OT2 CA278688NCI NIH HHS P01 CA091955NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA015704NCI NIH HHS P50 CA168504NCI NIH HHS R35 CA210057NCI NIH HHS U24 CA264379NIGMS NIH HHS R01 GM114362
6 · The paper itself

Abstract

Oncogene amplification is a key driver of cancer pathogenesis. Both breakage fusion bridge (BFB) cycles and extrachromosomal DNA (ecDNA) can lead to high oncogene copy numbers, but the impact of BFB amplifications on intratumoral heterogeneity, treatment response, and patient survival remains poorly understood due to detection challenges with DNA sequencing. We introduce an algorithm, OM2BFB, designed to detect and reconstruct BFB amplifications using optical genome mapping (OGM). OM2BFB demonstrates high precision (>93%) and recall (92%) in identifying BFB amplifications across cancer cell lines, patient-derived xenograft models, and primary tumors. Comparisons using OGM reveal that BFB detection with our AmpliconSuite toolkit for short-read sequencing also achieves high precision, though with reduced sensitivity. We identify 371 BFB events through whole genome sequencing of 2557 primary tumors and cancer cell lines. BFB amplifications are prevalent in cervical, head and neck, lung, and esophageal cancers, but rare in brain cancers. Genes amplified through BFB exhibit lower expression variance, with limited potential for regulatory adaptation compared to ecDNA-amplified genes. Tumors with BFB amplifications (BFB(+)) show reduced structural heterogeneity in amplicons and delayed resistance onset relative to ecDNA(+) tumors. These findings highlight ecDNA and BFB amplifications as distinct oncogene amplification mechanisms with differing biological characteristics, suggesting distinct avenues for therapeutic intervention.

Indexed as

Gene AmplificationGenetic HeterogeneityNeoplasmsOncogenesAlgorithmsAnimalsCell Line, TumorHumansMiceWhole Genome Sequencing

Identifiers

PMID39929823
PMCPMC11811125

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.