Evidence map›Paper›PMID 36009413›Full record

ArticleBiomedicines2022

Experimentally Deduced Criteria for Detection of Clinically Relevant Fusion 3' Oncogenes from FFPE Bulk RNA Sequencing Data.

Elizaveta Rabushko, Maxim Sorokin, Maria Suntsova, Alexander P Seryakov, Denis V Kuzmin, Elena Poddubskaya, Anton A Buzdin

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. AccurateInternational journal of molecular sciences · 2025
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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

7 authors at 2 institutions in 2 countries.

Elizaveta RabushkoLaboratory for Clinical and Genomic Bioinformatics, Institute of Personalized Oncology, I.M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.
Maxim SorokinLaboratory for Clinical and Genomic Bioinformatics, Institute of Personalized Oncology, I.M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.ORCID 0000-0001-7685-3446
Maria SuntsovaLaboratory for Clinical and Genomic Bioinformatics, Institute of Personalized Oncology, I.M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.
Alexander P SeryakovMedical Holding SM-Clinic, 125130 Moscow, Russia.
Denis V KuzminDepartment of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia.
Elena PoddubskayaLaboratory for Clinical and Genomic Bioinformatics, Institute of Personalized Oncology, I.M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.
Anton A BuzdinLaboratory for Clinical and Genomic Bioinformatics, Institute of Personalized Oncology, I.M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.
Moscow Institute of Physics and Technology · RUSechenov University · RU

Funding

Russian Science Foundation 20-75-10071
6 · The paper itself

Abstract

Drugs targeting receptor tyrosine kinase (RTK) oncogenic fusion proteins demonstrate impressive anti-cancer activities. The fusion presence in the cancer is the respective drug prescription biomarker, but their identification is challenging as both the breakpoint and the exact fusion partners are unknown. RNAseq offers the advantage of finding both fusion parts by screening sequencing reads. Paraffin (FFPE) tissue blocks are the most common way of storing cancer biomaterials in biobanks. However, finding RTK fusions in FFPE samples is challenging as RNA fragments are short and their artifact ligation may appear in sequencing libraries. Here, we annotated RNAseq reads of 764 experimental FFPE solid cancer samples, 96 leukemia samples, and 2 cell lines, and identified 36 putative clinically relevant RTK fusions with junctions corresponding to exon borders of the fusion partners. Where possible, putative fusions were validated by RT-PCR (confirmed for 10/25 fusions tested). For the confirmed 3'RTK fusions, we observed the following distinguishing features. Both moieties were in-frame, and the tyrosine kinase domain was preserved. RTK exon coverage by RNAseq reads upstream of the junction site were lower than downstream. Finally, most of the true fusions were present by more than one RNAseq read. This provides the basis for automatic annotation of 3'RTK fusions using FFPE RNAseq profiles.

Indexed as

clinical oncologyFFPEfusion oncogenereceptor tyrosine kinaseRNAseqRNA sequencingtumor molecular diagnostics

Identifiers

PMID36009413
PMCPMC9405289
OpenAlexW4289523029

What OpenQuestion holds

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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.