Evidence map›Paper›PMID 42193116›Full record

ReviewCurrent issues in molecular biology2026

Next-Generation Sequencing for Minimal Residual Disease Detection in Pediatric Acute Lymphoblastic Leukemia: Technological Advances, Clinical Translations and Current Challenges.

Nan Liu, Yi Zheng, Xiaojun Xu

Abstract readReview
In one paragraph

Review in Current issues in molecular biology, 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. Review
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.

Nan LiuDepartment of Hematology-Oncology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescents' Health and Diseases, Hangzhou 310052, China.ORCID 0000-0002-6218-5915
Yi ZhengDepartment of Hematology-Oncology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescents' Health and Diseases, Hangzhou 310052, China.ORCID 0000-0001-6136-1641
Xiaojun XuDepartment of Hematology-Oncology, Children's Hospital of Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescents' Health and Diseases, Hangzhou 310052, China.ORCID 0000-0003-1388-2535

Funding

Science and Technology Department of Zhejiang Province No. 2025C02083
6 · The paper itself

Abstract

Minimal residual disease (MRD) is the most robust independent prognostic biomarker for pediatric acute lymphoblastic leukemia (ALL). Conventional MRD detection assays suffer from insufficient sensitivity and inherent technical limitations, failing to identify ultra-low-level leukemic blasts and thereby contributing to disease relapse. Next-generation sequencing (NGS)-based MRD detection (NGS-MRD) overcomes these drawbacks by targeting immunoglobulin (Ig)/T-cell receptor (TCR) gene rearrangements and enabling the precise quantification of residual leukemic clones. In recent years, NGS-MRD has undergone extensive technological optimization in target panel design, result interpretation and sample type expansion, and has been validated for its clinical utility in therapeutic threshold definition, prognostic stratification, post-therapy monitoring and treatment adjustments in pediatric ALL. This review synthesizes the latest technological refinements and clinical applications of NGS-MRD in pediatric ALL, critically discusses the current challenges that limit its routine clinical use, and proposes future research directions to address these issues.

Indexed as

acute lymphoblastic leukemiaminimal residual diseasenext-generation sequencingpediatric

Identifiers

PMID42193116
PMCPMC13204516

What OpenQuestion holds

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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.