Evidence map›Paper›PMID 32706892›Full record

ArticleBlood advances2020

Clinical value of measurable residual disease testing for assessing depth, duration, and direction of response in multiple myeloma.

Joaquin Martinez-Lopez, Sandy W Wong, Nina Shah, Natasha Bahri, Kaili Zhou, Ying Sheng, Chiung-Yu Huang, Thomas Martin, Jeffrey Wolf

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Blood advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
  2. Measurable Residual Disease.Methods in molecular biology (Clifton, N.J.) · 2027
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Monitoring Minimal Residual Disease in Patients with Multiple Myeloma by Targeted Tracking Serum M-Protein Using Mass Spectrometry (EasyM).Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. High or low? Assessing disease risk in multiple myeloma.Hematology. American Society of Hematology. Education Program · 2022
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 2 countries.

Joaquin Martinez-LopezDivision of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Sandy W WongDivision of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Nina ShahDivision of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Natasha BahriDivision of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Kaili ZhouDivision of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Ying ShengDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.
Chiung-Yu HuangDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA.
Thomas MartinDivision of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.
Jeffrey WolfDivision of Hematology-Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA.
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few clinical studies have reported results of measurable residual disease (MRD) assessments performed as part of routine practice. Herein we present our single-institution experience assessing MRD in 234 multiple myeloma (MM) patients (newly diagnosed [NDMM = 159] and relapsed [RRMM = 75]). We describe the impact of depth, duration, and direction of response on prognosis. MRD assessments were performed by next-generation sequencing of immunoglobulin genes with a sensitivity of 10-6. Those achieving MRD negativity at 10-6, as well as 10-5, had superior median progression-free survival (PFS). In the NDMM cohort, 40% of the patients achieved MRD negativity at 10-6 and 59% at 10-5. Median PFS in the NDMM cohort was superior in those achieving MRD at 10-5 vs <10-5 (PFS: 87 months vs 32 months; P < .001). In the RRMM cohort, 36% achieved MRD negativity at 10-6 and 47% at 10-5. Median PFS was superior for the RRMM achieving MRD at 10-5 vs <10-5 (PFS: 42 months vs 17 months; P < .01). Serial MRD monitoring identified 3 categories of NDMM patients: (A) patients with ≥3 MRD 10-6 negative samples, (B) patients with detectable but continuously declining clonal numbers, and (C) patients with stable or increasing clonal number (≥1 log). PFS was superior in groups A and B vs C (median PFS not reached [NR], NR, 55 respectively; P < .001). This retrospective evaluation of MRD used as part of clinical care validates MRD as an important prognostic marker in NDMM and RRMM and supports its use as an endpoint in future clinical trials as well as for clinical decision making.

Indexed as

Multiple MyelomaHumansNeoplasm, ResidualPrognosisRetrospective StudiesTreatment Outcome

Identifiers

PMID32706892
PMCPMC7391154
OpenAlexW3044605664

What OpenQuestion holds

Textmetadata
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.