Evidence map›Paper›PMID 35119131›Full record

ArticleAmerican journal of hematology2022

Optimizing the diagnostic workflow for acute lymphoblastic leukemia by optical genome mapping.

Katrina Rack, Jolien De Bie, Geneviève Ameye, Olga Gielen, Sofie Demeyer, Jan Cools, Kim De Keersmaecker, Joris R Vermeesch, Johan Maertens, Heidi Segers and 2 more

Erratum issuedOpen access · hybridAbstract readLetter
In one paragraph

Article in American journal of hematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
13.4field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 69 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Katrina RackLaboratory for the Cytogenetic and Molecular Diagnosis of Hematological Malignancies, Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium.
Jolien De BieLaboratory for the Cytogenetic and Molecular Diagnosis of Hematological Malignancies, Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium.
Geneviève AmeyeLaboratory for the Cytogenetic and Molecular Diagnosis of Hematological Malignancies, Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium.
Olga GielenLaboratory for the Molecular Biology of Leukemia, KU Leuven, Leuven, Belgium.
Sofie DemeyerLaboratory for the Molecular Biology of Leukemia, KU Leuven, Leuven, Belgium.
Jan CoolsLaboratory for the Molecular Biology of Leukemia, KU Leuven, Leuven, Belgium.
Kim De KeersmaeckerLeuvens Kanker Instituut (LKI), KU Leuven - University Hospitals Leuven, Leuven, Belgium.
Joris R VermeeschDepartment of Human Genetics, KU Leuven, Leuven, Belgium.
Johan MaertensDepartment of Hematology, University Hospitals Leuven, Leuven, Belgium.
Heidi SegersLeuvens Kanker Instituut (LKI), KU Leuven - University Hospitals Leuven, Leuven, Belgium.
Lucienne MichauxLaboratory for the Cytogenetic and Molecular Diagnosis of Hematological Malignancies, Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium.
Barbara DewaeleLaboratory for the Cytogenetic and Molecular Diagnosis of Hematological Malignancies, Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0002-1183-5228
KU Leuven · BEVlaams Instituut voor Biotechnologie · BEVIB-KU Leuven Center for Cancer Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute lymphoblastic leukemia (ALL) is a malignancy that can be subdivided into distinct entities based on clinical, immunophenotypic and genomic features, including mutations, structural variants (SVs), and copy number alterations (CNA). Chromosome banding analysis (CBA) and Fluorescent In-Situ Hybridization (FISH) together with Multiple Ligation-dependent Probe Amplification (MLPA), array and PCR-based methods form the backbone of routine diagnostics. This approach is labor-intensive, time-consuming and costly. New molecular technologies now exist that can detect SVs and CNAs in one test. Here we apply one such technology, optical genome mapping (OGM), to the diagnostic work-up of 41 ALL cases. Compared to our standard testing pathway, OGM identified all recurrent CNAs and SVs as well as additional recurrent SVs and the resulting fusion genes. Based on the genomic profile obtained by OGM, 32 patients could be assigned to one of the major cytogenetic risk groups compared to 23 with the standard approach. The latter identified 24/34 recurrent chromosomal abnormalities, while OGM identified 33/34, misinterpreting only 1 case with low hypodiploidy. The results of MLPA were concordant in 100% of cases. Overall, there was excellent concordance between the results. OGM increased the detection rate and cytogenetic resolution, and abrogated the need for cascade testing, resulting in reduced turnaround times. OGM also provided opportunities for better patient stratification and accurate treatment options. However, for comprehensive cytogenomic testing, OGM still needs to be complemented with CBA or SNP-array to detect ploidy changes and with BCR::ABL1 FISH to assign patients as soon as possible to targeted therapy.

Indexed as

Chromosome AberrationsPrecursor Cell Lymphoblastic Leukemia-LymphomaChromosome MappingDNA Copy Number VariationsHumansWorkflow

Identifiers

PMID35119131
PMCPMC9314940
OpenAlexW4210351579

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.