Evidence map›Paper›PMID 33217553›Full record

ArticleThe Journal of molecular diagnostics : JMD2021

Routine Evaluation of Minimal Residual Disease in Myeloma Using Next-Generation Sequencing Clonality Testing: Feasibility, Challenges, and Direct Comparison with High-Sensitivity Flow Cytometry.

Caleb Ho, Mustafa Syed, Mikhail Roshal, Kseniya Petrova-Drus, Christine Moung, Jinjuan Yao, Andres E Quesada, Jamal Benhamida, Chad Vanderbilt, Ying Liu and 17 more

Abstract readComparative Study
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Minimal residual disease in multiple myeloma: why, when, where.Hematology. American Society of Hematology. Education Program · 2021
    Article
  10. 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

27 authors.

Caleb HoHematopathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York; Diagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York. Electronic address: hoc@mskcc.org.
Mustafa SyedDiagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Mikhail RoshalHematopathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Kseniya Petrova-DrusHematopathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York; Diagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Christine MoungDiagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Jinjuan YaoDiagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Andres E QuesadaHematopathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York; Diagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Jamal BenhamidaDiagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Chad VanderbiltDiagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Ying LiuHematopathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Menglei ZhuHematopathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Wayne YuDiagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Lidia MaciagDiagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Meiyi WangDiagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Yuanyuan MaDiagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Qi GaoHematopathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Even H RustadMyeloma Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York.
Malin HultcrantzMyeloma Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York.
Benjamin T DiamondMyeloma Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York.
Binbin Zheng-LinMyeloma Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York.
Ying HuangInvivoscribe, Inc., San Diego, California.
Kasey HuttInvivoscribe, Inc., San Diego, California.
Jeffrey E MillerInvivoscribe, Inc., San Diego, California.
Ahmet DoganHematopathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Khedoudja NafaDiagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York.
Ola LandgrenMyeloma Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York.
Maria E ArcilaHematopathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York; Diagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York. Electronic address: arcilam@mskcc.org.

Funding

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

Abstract

The 2016 International Myeloma Working Group consensus recommendations emphasize high-sensitivity methods for minimal residual disease (MRD) detection, treatment response assessment, and prognostication. Next-generation sequencing (NGS) of IGH gene rearrangements is highly specific and sensitive, but its description in routine clinical practice and performance comparison with high-sensitivity flow cytometry (hsFC) remain limited. In this large, single-institution study including 438 samples from 251 patients, the use of NGS targeting the IGH and IGK genes for clonal characterization and monitoring, with comparison to hsFC, is described. The index clone characterization success rate was 93.6% (235/251), which depended on plasma cell (PC) cellularity, reaching 98% when PC ≥10% and below 80% when PC <5%. A total of 85% of cases were successfully characterized using leader and FR1 primer sets, and most clones showed high somatic hypermutation rates (median, 8.1%). Among monitoring samples from 124 patients, 78.6% (147/187) had detectable disease by NGS. Concordance with hsFC was 92.9% (170/183). Discordant cases encompassed 8 of 124 hsFC MRD+/NGS MRD- patients (6.5%) and 4 of 124 hsFC MRD-/NGS MRD+ patients (3.2%), all with low-level disease near detection limits for both assays. Among concordant hsFC MRD-/NGS MRD- cases, only 5 of 24 patients (20.8%) showed subsequent overt relapse at 3-year follow-up. HsFC and NGS showed similar operational sensitivity, and the choice of test may depend on practical, rather than test performance, considerations.

Indexed as

Flow CytometryHigh-Throughput Nucleotide SequencingBase SequenceClone CellsFeasibility StudiesHumansMultiple MyelomaNeoplasm, ResidualPlasma CellsRecurrenceReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID33217553
PMCPMC7874334

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.