Evidence map›Paper›PMID 37490880›Full record

ArticlePathobiology : journal of immunopathology, molecular and cellular biology2024

Detection of Hybrid Fusion Transcripts, Aberrant Transcript Expression, and Specific Single Nucleotide Variants in Acute Leukemia and Myeloid Disorders with Recurrent Gene Rearrangements.

Yuewei Li, Kaifang Deng, Justin Kaner, Julia T Geyer, Madhu Ouseph, Frank Fang, Kemin Xu, Gail Roboz, Michael J Kluk

Open access · greenAbstract read
In one paragraph

Article in Pathobiology : journal of immunopathology, molecular and cellular biology, 2024. 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
0.3field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

9 authors at 2 institutions in 1 country.

Yuewei LiDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Kaifang DengDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Justin KanerDepartment of Medicine, Hematology and Medical Oncology, Clinical and Translational Leukemia Program, Weill Cornell Medicine, New York, New York, USA.
Julia T GeyerDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Madhu OusephDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Frank FangDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Kemin XuDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Gail RobozDepartment of Medicine, Hematology and Medical Oncology, Clinical and Translational Leukemia Program, Weill Cornell Medicine, New York, New York, USA.
Michael J KlukDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Weill Cornell Medicine · USCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA variety of gene rearrangements and molecular alterations are key drivers in the pathobiology of acute leukemia and myeloid disorders; current classification systems increasingly incorporate these findings in diagnostic algorithms. Therefore, clinical laboratories require versatile tools, which can detect an increasing number and variety of molecular and cytogenetic alterations of clinical significance.

methodsWe validated an RNA-based next-generation sequencing (NGS) assay that enables the detection of: (i) numerous hybrid fusion transcripts (including rare/novel gene partners), (ii) aberrantly expressed EVI1 (MECOM) and IKZF1 (Del exons 4-7) transcripts, and (iii) hotspot variants in KIT, ABL1, NPM1 (relevant in the context of gene rearrangement status).

resultsFor hybrid fusion transcripts, the assay showed 98-100% concordance for known positive and negative samples, with an analytical sensitivity (i.e., limit of detection) of approximately 0.8% cells. Samples with underlying EVI1 (MECOM) translocations demonstrated increased EVI1 (MECOM) expression. Aberrant IKZF1 (Del exons 4-7) transcripts detectable with the assay were also present on orthogonal reverse transcription PCR. Specific hotspot mutations in KIT, ABL1, and NPM1 detected with the assay showed 100% concordance with orthogonal testing. Lastly, several illustrative samples are included to highlight the assay's clinically relevant contributions to patient workup.

conclusionThrough its ability to simultaneously detect various gene rearrangements, aberrantly expressed transcripts, and hotspot mutations, this RNA-based NGS assay is a valuable tool for clinical laboratories to supplement other molecular and cytogenetic methods used in the diagnostic workup and in clinical research for patients with acute leukemia and myeloid disorders.

Indexed as

Leukemia, Myeloid, AcuteGene RearrangementHumansNuclear ProteinsNucleotidesRNATranscription FactorsNuclear ProteinsNucleotidesRNATranscription FactorsAcute leukemiaGene fusionMyeloidNext-generation sequencingRearrangementRNATranslocation

Identifiers

PMID37490880
PMCPMC11524540
OpenAlexW4385264007

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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.