Evidence map›Paper›PMID 38103591›Full record

ArticleThe Journal of molecular diagnostics : JMD2024

Quantification of Measurable Residual Disease Detection by Next-Generation Sequencing-Based Clonality Testing in B-Cell and Plasma Cell Neoplasms.

Ying Liu, Caleb Ho, Wayne Yu, Ying Huang, Jeffrey Miller, Qi Gao, Mustafa Syed, Yuanyuan Ma, Meiyi Wang, Lidia Maciag and 11 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

21 authors at 3 institutions in 1 country.

Ying LiuDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Hematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: liuy6@mskcc.org.
Caleb HoLoxo Oncology, Inc., Stamford, Connecticut.
Wayne YuDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Ying HuangInvivoscribe, Inc., San Diego, California.
Jeffrey MillerInvivoscribe, Inc., San Diego, California.
Qi GaoHematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Mustafa SyedDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Yuanyuan MaDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Meiyi WangDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Lidia MaciagDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Kseniya Petrova-DrusDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Hematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Menglei ZhuDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Hematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
JinJuan YaoDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Chad VanderbiltDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Benjamin DurhamDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Jamal BenhamidaDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Mark D EwaltDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Hematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Ahmet DoganHematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Mikhail RoshalHematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Khedoudja NafaDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Maria E ArcilaDiagnostic Molecular Pathology, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Hematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: arcilam@mskcc.org.
Memorial Sloan Kettering Cancer Center · USMesoScribe Technologies (United States) · USLoxo Oncology at Lilly (United States) · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Next-generation sequencing (NGS)-based measurable residual disease (MRD) monitoring in post-treatment settings can be crucial for relapse risk stratification in patients with B-cell and plasma cell neoplasms. Prior studies have focused on validation of various technical aspects of the MRD assays, but more studies are warranted to establish the performance characteristics and enable standardization and broad utilization in routine clinical practice. Here, the authors describe an NGS-based IGH MRD quantification assay, incorporating a spike-in calibrator for monitoring B-cell and plasma cell neoplasms based on their unique IGH rearrangement status. Comparison of MRD status (positive or undetectable) by NGS and flow cytometry (FC) assays showed high concordance (91%, 471/519 cases) and overall good linear correlation in MRD quantitation, particularly for chronic lymphocytic leukemia and B-lymphoblastic leukemia/lymphoma (R = 0.85). Quantitative correlation was lower for plasma cell neoplasms, where underestimation by FC is a known limitation. No significant effects on sequencing efficiency by the spike-in calibrator were observed, with excellent inter- and intra-assay reproducibility within the authors' laboratory, and in comparison to an external laboratory, using the same assay and protocols. Assays performed both at internal and external laboratories showed highly concordant MRD detection (100%) and quantitation (R = 0.97). Overall, this NGS-based MRD assay showed highly reproducible results with quantitation that correlated well with FC MRD assessment, particularly for B-cell neoplasms.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellMultiple MyelomaHigh-Throughput Nucleotide SequencingHumansNeoplasm, ResidualReproducibility of Results

Identifiers

PMID38103591
PMCPMC10918645
OpenAlexW4389719562

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.