Evidence map›Paper›PMID 37503111›Full record

ArticlebioRxiv : the preprint server for biology2023

Coordinated inheritance of extrachromosomal DNA species in human cancer cells.

King L Hung, Matthew G Jones, Ivy Tsz-Lo Wong, Joshua T Lange, Jens Luebeck, Elisa Scanu, Britney Jiayu He, Lotte Brückner, Rui Li, Rocío Chamorro González and 9 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

19 authors at 7 institutions in 4 countries.

King L HungCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA.
Matthew G JonesCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA.
Ivy Tsz-Lo WongSarafan ChEM-H, Stanford University, Stanford, CA, USA.
Joshua T LangeSarafan ChEM-H, Stanford University, Stanford, CA, USA.
Jens LuebeckDepartment of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, 92093, USA.
Elisa ScanuDepartment of Mathematics, Queen Mary University of London, London, UK.
Britney Jiayu HeCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA.
Lotte BrücknerMax-Delbrück-Centrum für Molekulare Medizin (BIMSB/BIH), Berlin, Germany.
Rui LiCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA.
Rocío Chamorro GonzálezExperimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany.
Rachel SchmargonExperimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany.
Jan R DörrExperimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany.
Julia A BelkCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA.
Vineet BafnaDepartment of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, 92093, USA.
Benjamin WernerEvolutionary Dynamics Group, Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.
Weini HuangDepartment of Mathematics, Queen Mary University of London, London, UK.
Anton G HenssenExperimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany.
Paul S MischelSarafan ChEM-H, Stanford University, Stanford, CA, USA.
Howard Y ChangCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA.
Stanford University · USMax Delbrück Center · DEQueen Mary University of London · GBUniversity of California San Diego · USGerman Cancer Research Center · DEHoward Hughes Medical Institute · USSun Yat-sen University · CN

Funding

LncRNA mechanisms in cancerR35CA209919 · NCI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2016 to 2022
$6.4M
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
Integrated ligand and target discovery by chemical proteomics for glioblastoma treatment.R01CA238249 · NCI · STANFORD UNIVERSITY · PI CRAVATT, BENJAMIN F, MISCHEL, PAUL S · 2021 to 2025
$3.3M
Computational methods for detecting patterns of complex genomic variationR01GM114362 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2016 to 2026
$3.1M
Program in Translational and Experimental HematologyT32HL120824 · NHLBI · STANFORD UNIVERSITY · PI MAJETI, RAVINDRA · 2014 to 2023
$2.4M
eDyNAmiC - UCSDOT2CA278635 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2022 to 2026
$1.8M
Quantitative modeling of extrachromosomal DNA (ecDNA) evolution in tumorsK99CA286968 · NCI · STANFORD UNIVERSITY · PI JONES, MATTHEW GREGORY · 2024 to 2025
$335k
Regulation and retention of extrachromosomal oncogene amplifications in cancerF99CA274692 · NCI · STANFORD UNIVERSITY · PI HUNG, KING L. · 2022 to 2023
$82k
NCI NIH HHS F99 CA274692NCI NIH HHS K99 CA286968NCI NIH HHS OT2 CA278635NCI NIH HHS R01 CA238249NCI NIH HHS R35 CA209919NCI NIH HHS U24 CA264379NHLBI NIH HHS T32 HL120824NIGMS NIH HHS R01 GM114362
6 · The paper itself

Abstract

The chromosomal theory of inheritance has dominated human genetics, including cancer genetics. Genes on the same chromosome segregate together while genes on different chromosomes assort independently, providing a fundamental tenet of Mendelian inheritance. Extrachromosomal DNA (ecDNA) is a frequent event in cancer that drives oncogene amplification, dysregulated gene expression and intratumoral heterogeneity, including through random segregation during cell division. Distinct ecDNA sequences, herein termed ecDNA species, can co-exist to facilitate intermolecular cooperation in cancer cells. However, how multiple ecDNA species within a tumor cell are assorted and maintained across somatic cell generations to drive cancer cell evolution is not known. Here we show that cooperative ecDNA species can be coordinately inherited through mitotic co-segregation. Imaging and single-cell analyses show that multiple ecDNAs encoding distinct oncogenes co-occur and are correlated in copy number in human cancer cells. EcDNA species are coordinately segregated asymmetrically during mitosis, resulting in daughter cells with simultaneous copy number gains in multiple ecDNA species prior to any selection. Computational modeling reveals the quantitative principles of ecDNA co-segregation and co-selection, predicting their observed distributions in cancer cells. Finally, we show that coordinated inheritance of ecDNAs enables co-amplification of specialized ecDNAs containing only enhancer elements and guides therapeutic strategies to jointly deplete cooperating ecDNA oncogenes. Coordinated inheritance of ecDNAs confers stability to oncogene cooperation and novel gene regulatory circuits, allowing winning combinations of epigenetic states to be transmitted across cell generations.

Identifiers

PMID37503111
PMCPMC10371175
OpenAlexW4384821015

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.