Evidence map›Paper›PMID 38168210›Full record

ArticlebioRxiv : the preprint server for biology2023

Breakage fusion bridge cycles drive high oncogene copy number, but not intratumoral genetic heterogeneity or rapid cancer genome change.

Siavash Raeisi Dehkordi, Ivy Tsz-Lo Wong, Jing Ni, Jens Luebeck, Kaiyuan Zhu, Gino Prasad, Lena Krockenberger, Guanghui Xu, Biswanath Chowdhury, Utkrisht Rajkumar and 18 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors at 12 institutions in 4 countries.

Siavash Raeisi DehkordiDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
Ivy Tsz-Lo WongDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Jing NiDepartment 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.
Kaiyuan ZhuDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
Gino PrasadDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
Lena KrockenbergerDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.
Guanghui XuPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
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 MuliaditanLaboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.
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.
Andy Wing Chun PangBionano Genomics, San Diego, CA92121, USA.
Ludmil B AlexandrovMoores Cancer Center, UC San Diego Health, La Jolla, CA, USA.ORCID 0000-0003-3596-4515
Christelle En Lin ChuaSingapore Nuclear Research and Safety Initiative, National University of Singapore.
Frank B FurnariDepartment of Medicine, University of California at San Diego, La Jolla, CA, USA.ORCID 0000-0003-1909-4361
Thomas G PaulsonTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Julie A LawPlant Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.ORCID 0000-0001-7472-7753
Howard Y ChangCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA.
Feng YueDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA.
Ramanuj DasGuptaLaboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.
Jean ZhaoDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215 USA.
Paul S MischelDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Vineet BafnaDepartment of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA.ORCID 0000-0002-5810-6241
University of California San Diego · USSalk Institute for Biological Studies · USAgency for Science, Technology and Research · SGHarvard University · USNational University of Singapore · SGNorthwestern University · USStanford University · USBioNano Genomics (United States) · USBoundless Bio (United States) · USCape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZAHoward Hughes Medical Institute · USUC San Diego Health System · US

Funding

Integrating targeted therapy and immunotherapy to break through cancerR35CA210057 · NCI · DANA-FARBER CANCER INST · PI Jean Zhao · 2016 to 2026
$10.8M
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
NCI NIH HHS OT2 CA278635NCI NIH HHS R35 CA210057NCI NIH HHS U24 CA264379NIGMS NIH HHS R01 GM114362
6 · The paper itself

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.

Identifiers

PMID38168210
PMCPMC10760206
OpenAlexW4389703548

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.