Evidence map›Paper›PMID 41277019›Full record

ArticleAnnals of laboratory medicine2026

Clinical Validation of a Rapid Automated Lymphoma Next-Generation Sequencing Panel.

Michael Krigstein, Emily Jude, Aleisha Jaffrey, Stephen Bye, Bin Wang, Min Ru Qiu, David Ma

Abstract readValidation Study
In one paragraph

Article in Annals of laboratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Michael KrigsteinDepartment of Molecular Pathology, St Vincent's Hospital, Sydney, Australia.ORCID https://orcid.org/0000-0002-6964-9591
Emily JudeDepartment of Molecular Pathology, St Vincent's Hospital, Sydney, Australia.ORCID https://orcid.org/0000-0001-9611-574X
Aleisha JaffreyDepartment of Molecular Pathology, St Vincent's Hospital, Sydney, Australia.ORCID https://orcid.org/0009-0009-8793-401X
Stephen ByeDepartment of Molecular Pathology, St Vincent's Hospital, Sydney, Australia.ORCID https://orcid.org/0009-0000-3582-7911
Bin WangDepartment of Molecular Pathology, St Vincent's Hospital, Sydney, Australia.ORCID https://orcid.org/0009-0008-9953-9335
Min Ru QiuDepartment of Molecular Pathology, St Vincent's Hospital, Sydney, Australia.ORCID https://orcid.org/0000-0002-5179-2250
David MaDepartment of Molecular Pathology, St Vincent's Hospital, Sydney, Australia.ORCID https://orcid.org/0009-0004-0242-5181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Our genomic understanding of lymphomas, a heterogeneous group of neoplasms, has grown exponentially. The latest World Health Organization (WHO) and International Consensus classifications reflect the importance of genetic assessment in the diagnosis and prognostication of and therapeutic decision making in lymphoid neoplasms. To address this clinical need for routinely available and timely testing, we aimed to validate the Ion AmpliSeq Liverpool Lymphoid Network Panel (IALLNP; Thermo Fisher Scientific, Waltham, MA, USA). Methods: We clinically validated the IALLNP on the Ion Torrent Genexus Sequencer (Thermo Fisher Scientific). The panel detects single-nucleotide variants (SNVs) and insertions/deletions (indels) in 60 clinically relevant genes. The validation set included a commercial control and 54 DNA samples covering the spectrum of clinically aggressive and indolent lymphomas. Results: After optimizing for poor coverage regions, recurrent artifacts, and false-negative calls, the panel showed good performance in terms of depth of coverage, on-target reads, and uniformity. Its sensitivity for SNVs and indels at a lower limit of detection of 5% variant allele frequency (VAF) was 100%. Specificity in variant-negative samples was 100%, and the mean per-sample number of false-positive variants-which were easily identifiable and excluded upon interrogation of raw data-was 0.4. The panel demonstrated 92.8% reproducibility; however, all nonreproducible variants fell below the 5% VAF analytical threshold. Conclusions: The IALLNP is an accurate and reproducible next-generation sequencing panel that delivers genetic results for lymphoid neoplasms in a clinically meaningful timeframe.

Indexed as

High-Throughput Nucleotide SequencingLymphomaGene FrequencyHumansINDEL MutationPolymorphism, Single NucleotideSequence Analysis, DNAHigh-throughput nucleotide sequencingLymphomaMolecular pathologyPrecision medicine

Identifiers

PMID41277019
PMCPMC13071278

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