Evidence map›Paper›PMID 33880432›Full record

ArticleHemaSphere2021

Performances of Targeted RNA Sequencing for the Analysis of Fusion Transcripts, Gene Mutation, and Expression in Hematological Malignancies.

Sandrine Hayette, Béatrice Grange, Maxime Vallee, Claire Bardel, Sarah Huet, Isabelle Mosnier, Kaddour Chabane, Thomas Simonet, Marie Balsat, Maël Heiblig and 5 more

Open access · goldAbstract read
In one paragraph

Article in HemaSphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 51% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. 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

15 authors at 7 institutions in 1 country.

Sandrine HayetteHospices Civils de Lyon, Hôpital Lyon Sud, Service d'hématologie biologique, Pierre-Bénite, France.
Béatrice GrangeHospices Civils de Lyon, Hôpital Lyon Sud, Service d'hématologie biologique, Pierre-Bénite, France.
Maxime ValleeHospices Civils de Lyon, Plateforme de séquençage NGS-HCL, cellule bioinformatique, Bron, France.
Claire BardelHospices Civils de Lyon, Plateforme de séquençage NGS-HCL, cellule bioinformatique, Bron, France.
Sarah HuetHospices Civils de Lyon, Hôpital Lyon Sud, Service d'hématologie biologique, Pierre-Bénite, France.
Isabelle MosnierHospices Civils de Lyon, Hôpital Lyon Sud, Service d'hématologie biologique, Pierre-Bénite, France.
Kaddour ChabaneHospices Civils de Lyon, Hôpital Lyon Sud, Service d'hématologie biologique, Pierre-Bénite, France.
Thomas SimonetHospices Civils de Lyon, Plateforme de séquençage NGS-HCL, cellule bioinformatique, Bron, France.
Marie BalsatHospices Civils de Lyon, Hôpital Lyon Sud, Service d'hématologie clinique, Pierre-Bénite, France.
Maël HeibligHospices Civils de Lyon, Hôpital Lyon Sud, Service d'hématologie clinique, Pierre-Bénite, France.
Isabelle TigaudHospices Civils de Lyon, Hôpital Lyon Sud, Service d'hématologie biologique, Pierre-Bénite, France.
Franck E NicoliniFrench group of CML, Centre Léon Bérard, Lyon, France.
Sylvain MareschalCancer Research Center of Lyon, INSERM U1052 UMR CNRS 5286, Equipe labellisée Ligue Contre le Cancer, Université de Lyon, France.
Gilles SallesCancer Research Center of Lyon, INSERM U1052 UMR CNRS 5286, Equipe labellisée Ligue Contre le Cancer, Université de Lyon, France.
Pierre SujobertHospices Civils de Lyon, Hôpital Lyon Sud, Service d'hématologie biologique, Pierre-Bénite, France.
Hospices Civils de Lyon · FRCentre Léon Bérard · FRCentre National de la Recherche Scientifique · FRInserm · FRCentre de Recherche en Cancérologie de Lyon · FRHôpital Lyon Sud · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA sequencing holds great promise to improve the diagnostic of hematological malignancies, because this technique enables to detect fusion transcripts, to look for somatic mutations in oncogenes, and to capture transcriptomic signatures of nosological entities. However, the analytical performances of targeted RNA sequencing have not been extensively described in diagnostic samples. Using a targeted panel of 1385 cancer-related genes in a series of 100 diagnosis samples and 8 controls, we detected all the already known fusion transcripts and also discovered unknown and/or unsuspected fusion transcripts in 12 samples. Regarding the analysis of transcriptomic profiles, we show that targeted RNA sequencing is performant to discriminate acute lymphoblastic leukemia entities driven by different oncogenic translocations. Additionally, we show that 86% of the mutations identified at the DNA level are also detectable at the messenger RNA (mRNA) level, except for nonsense mutations that are subjected to mRNA decay. We conclude that targeted RNA sequencing might improve the diagnosis of hematological malignancies. Standardization of the preanalytical steps and further refinements of the panel design and of the bioinformatical pipelines will be an important step towards its use in standard diagnostic procedures.

Identifiers

PMID33880432
PMCPMC8051993
OpenAlexW3121191696

What OpenQuestion holds

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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.