Evidence map›Paper›PMID 41482934›Full record

ReviewFEBS letters2026

The newfound relationship between extrachromosomal DNAs and excised signal circles.

Dylan Casey, Zeqian Gao, Joan Boyes

Abstract readReview
In one paragraph

Review in FEBS letters, 2026. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dylan CaseySchool of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, UK.ORCID https://orcid.org/0000-0003-1334-821X
Zeqian GaoSchool of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, UK.ORCID https://orcid.org/0009-0003-0391-5476
Joan BoyesSchool of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, UK.ORCID https://orcid.org/0000-0002-8705-9827

Funding

Little Princess Trust LPT2024IDEAS25
6 · The paper itself

Abstract

Elevated levels of extrachromosomal DNAs (ecDNAs) are associated with poor prognoses of many cancer types. These large circular DNAs typically harbour oncogenes and regulatory elements which, together with high levels of ecDNA transcription, confer a growth advantage to cancer cells. Replication of ecDNAs, followed by their unequal distribution at mitosis, further promotes rapid cancer evolution. In contrast to ecDNAs, the role of circular DNA by-products from V(D)J recombination in cancer development has largely been overlooked. Developing lymphocytes generate millions of excised signal circles (ESCs) each day through gene rearrangement at the immunoglobulin and T-cell receptor loci. Despite their similar size to ecDNAs, ESCs were long assumed to be inert and lost during cell division. However, it is now known that ESCs potently trigger genome instability when complexed with recombinase proteins. Not only this, but new data show that just like ecDNAs, ESCs replicate and persist, with high levels strongly correlating with poor prognosis of B-cell precursor acute lymphoblastic leukaemia (BCP-ALL). Despite these striking similarities, the properties of ESCs and ecDNAs are seldom linked. Here, we provide the first comparative review of ecDNAs and ESCs, and highlight the reasons why these molecules are more closely related than once assumed.

Indexed as

DNA, CircularAnimalsGenomic InstabilityHumansNeoplasmsV(D)J RecombinationDNA, Circularacute lymphoblastic leukaemiacircular DNAexcised signal circlesextrachromosomal DNAV(D)J recombination

Identifiers

PMID41482934
PMCPMC13158842

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.