Evidence map›Paper›PMID 36585787›Full record

ArticleBriefings in bioinformatics2023

Discovery of fusion circular RNAs in leukemia with KMT2A::AFF1 rearrangements by the new software CircFusion.

Anna Dal Molin, Caterina Tretti Parenzan, Enrico Gaffo, Cristina Borin, Elena Boldrin, Lueder H Meyer, Geertruij Te Kronnie, Silvia Bresolin, Stefania Bortoluzzi

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

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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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. International journal of molecular sciences · 2024
    Review
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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

9 authors at 1 institution in 1 country.

Anna Dal MolinDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Caterina Tretti ParenzanOnco-Hematology, Stem Cell Transplant and Gene Therapy Laboratory, IRP-Istituto di Ricerca Pediatrica, Padova, Italy.
Enrico GaffoDepartment of Molecular Medicine, University of Padova, Padova, Italy.ORCID 0000-0001-6338-7677
Cristina BorinDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Elena BoldrinDepartment of Pediatrics and Adolescent Medicine, Ulm University Medical Center, Ulm, Germany.
Lueder H MeyerDepartment of Pediatrics and Adolescent Medicine, Ulm University Medical Center, Ulm, Germany.
Geertruij Te KronnieDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Silvia BresolinDepartment of Pediatrics and Adolescent Medicine, Ulm University Medical Center, Ulm, Germany.
Stefania BortoluzziDepartment of Molecular Medicine, University of Padova, Padova, Italy.ORCID 0000-0001-8240-3070
University of Padua · IT

Funding

Fondazione AIRC per la Ricerca sul Cancro, Milan, Italy 2017 20052Fondazione CariparoMinistry of Education PRIN 2017 2017PPS2X4_003
6 · The paper itself

Abstract

Chromosomal translocations in cancer genomes, key players in many types of cancers, generate chimeric proteins that drive oncogenesis. Genomes with chromosomal rearrangements can also produce fusion circular RNAs (f-circRNAs) by backsplicing of chimeric transcripts, as first shown in leukemias with PML::RARα and KMT2A::MLLT3 translocations and later in solid cancers. F-circRNAs contribute to the oncogenic processes and reinforce the oncogenic activity of chimeric proteins. In leukemia with KMT2A::AFF1 (MLL::AF4) fusions, we previously reported specific alterations of circRNA expression, but nothing was known about f-circRNAs. Due to the presence of two chimeric sequences, fusion and backsplice junctions, the identification of f-circRNAs with available tools is challenging, possibly resulting in the underestimation of this RNA species, especially when the breakpoint is not known. We developed CircFusion, a new software tool to detect linear fusion transcripts and f-circRNAs from RNA-seq data, both in samples for which the breakpoints are known and when the information about the joined exons is missing. CircFusion can detect linear and circular chimeric transcripts deriving from the main and reciprocal translocations also in the presence of multiple breakpoints, which are common in malignant cells. Benchmarking tests on simulated and real datasets of cancer samples with previously experimentally determined f-circRNAs showed that CircFusion provides reliable predictions and outperforms available methods for f-circRNA detection. We discovered and validated novel f-circRNAs in acute leukemia harboring KMT2A::AFF1 rearrangements, leading the way to future functional studies aimed to unveil their role in this malignancy.

Indexed as

Leukemia, Myeloid, AcuteRNA, CircularDNA-Binding ProteinsHistone-Lysine N-MethyltransferaseHumansMyeloid-Lymphoid Leukemia ProteinRecombinant Fusion ProteinsRNASoftwareTranscriptional Elongation FactorsAFF1 protein, humanDNA-Binding ProteinsHistone-Lysine N-MethyltransferaseMyeloid-Lymphoid Leukemia ProteinRecombinant Fusion ProteinsRNARNA, CircularTranscriptional Elongation Factorschromosomal translocationsfusion circular RNAfusion transcriptsKMT2A::AFF1leukemia

Identifiers

PMID36585787
PMCPMC9851293
OpenAlexW4313340273

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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.