Evidence map›Paper›PMID 36579446›Full record

ArticleHaematologica2023

A novel next-generation sequencing capture-based strategy to report somatic hypermutation status using genomic regions downstream to immunoglobulin rearrangements.

Neil McCafferty, James Peter Stewart, Nikos Darzentas, Jana Gazdova, Mark Catherwood, Kostas Stamatopoulos, Anton W Langerak, David Gonzalez

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

8 authors at 5 institutions in 4 countries.

Neil McCaffertyPatrick G Johnston Centre for Cancer Research, Queens University Belfast, Belfast, United Kingdom; Barts Cancer Institute, Queen Marys University, London, United Kingdom.
James Peter StewartPatrick G Johnston Centre for Cancer Research, Queens University Belfast, Belfast, United Kingdom.
Nikos DarzentasDepartment of Haematology, University Hospital Schleswig- Holstein, Kiel, Germany.
Jana GazdovaPatrick G Johnston Centre for Cancer Research, Queens University Belfast, Belfast, United Kingdom.
Mark CatherwoodBelfast City Hospital, Belfast, United Kingdom.
Kostas StamatopoulosInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece.
Anton W LangerakLaboratory Medical Immunology, Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands.
David GonzalezPatrick G Johnston Centre for Cancer Research, Queens University Belfast, Belfast, United Kingdom. D.GonzalezdeCastro@qub.ac.uk.
Queen's University Belfast · GBBelfast City Hospital · GBCentre for Research and Technology Hellas · GRErasmus MC · NLUniversity Hospital Schleswig-Holstein · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The somatic hypermutation (SHM) status of the clonotypic, rearranged immunoglobulin heavy variable (IGHV) gene is an established prognostic and predictive marker in chronic lymphocytic leukemia (CLL). Analysis of SHM is generally performed by polymerase chain reaction (PCR)-amplification of clonal IGHV-IGHD-IGHJ gene rearrangements followed by sequencing to identify IGHV gene sequences and germline identity. Targeted-hybridization next-generation sequencing (NGS) can simultaneously assess clonality and other genetic aberrations. However, it has limitations for SHM analysis due to sequence similarity between different IGHV genes and mutations introduced by SHM, which can affect alignment efficiency and accuracy. We developed a novel SHM assessment strategy using a targeted-hybridization NGS approach (EuroClonality- NDC assay) and applied it to 331 samples of lymphoproliferative disorder (LPD). Our strategy focuses on analyzing the sequence downstream to the clonotypic, rearranged IGHJ gene up to the IGHM enhancer (IGHJ-E) which provides more accurate alignment. Overall, 84/95 (88.4%) CLL cases with conventional SHM data showed concordant SHM status, increasing to 91.6% when excluding borderline cases. Additionally, IGHJ-E mutation analysis in a wide range of pre- and post-germinal center LPD showed significant correlation with differentiation and lineage status, suggesting that IGHJ-E analysis is a promising surrogate marker enabling SHM to be reported using NGS-capture strategies and whole genome sequencing.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellGene RearrangementGenomicsHigh-Throughput Nucleotide SequencingHumansImmunoglobulin Heavy ChainsMutationSomatic Hypermutation, ImmunoglobulinImmunoglobulin Heavy Chains

Identifiers

PMID36579446
PMCPMC10153525
OpenAlexW4313240779

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LicenceCC BY-NC
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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.