Evidence map›Paper›PMID 41747190›Full record

ReviewBlood advances2026

Interpreting next-generation immunosequencing results in children and young adults with acute lymphoblastic leukemia.

Rohaum Hamidi, Ilan Kirsch, Liora Schultz

Abstract readReview
In one paragraph

Review in Blood advances, 2026. 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
–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

0 citing papers in PubMed.

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

3 authors.

Rohaum HamidiDepartment of Pediatrics, Bass Center for Childhood Cancer and Blood Disorders, Stanford University School of Medicine, Stanford, CA.ORCID 0009-0001-2308-4425
Ilan KirschAdaptive Biotechnologies, Seattle, WA.ORCID 0000-0001-5592-5201
Liora SchultzPediatric Hematology/Oncology and Cellular Immunotherapy, Columbia University School of Medicine, New York City, NY.ORCID 0000-0001-9512-7597

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractDetermination of measurable residual disease (MRD) in pediatric acute lymphoblastic leukemia (ALL) using next-generation immunosequencing (clonoSEQ; Adaptive Biotechnologies) has emerged as an essential and sensitive tool. The clonoSEQ assay identifies and tracks all the B-cell and T-cell receptor rearrangements present in a sample. With widening clinical use of immunosequencing for MRD monitoring (next-generation sequencing [NGS]-MRD), clinicians are increasingly encountering cases with results that are considered to be inconclusive, where immunosequencing yields detectable clonotypic sequences, yet it is unclear whether they indicate ALL, normal background, or an independent etiology. There is a need for guidance in the clinical interpretation of immunosequencing results. In this article, we describe various features of immunosequencing reporting and their clinical implications through a series of illustrative clinical cases. Each case presents a distinct scenario encountered in the clinical setting where NGS-MRD had varying clinical implications. Through aggregate evaluation of the various components of the results, such as the sequence locus, sequence abundance, clonal tracking, and levels of detection and blank, we formulate systematic interpretative tools that can be leveraged to inform clinical decision-making. The goal of this article is to serve as a useful guide for clinicians as they interpret immunosequencing results for pediatric ALL.

Indexed as

High-Throughput Nucleotide SequencingPrecursor Cell Lymphoblastic Leukemia-LymphomaAdolescentChildChild, PreschoolFemaleHumansMaleNeoplasm, Residual

Identifiers

PMID41747190
PMCPMC13342805

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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.