Evidence map›Paper›PMID 35005838›Full record

ArticleCytometry. Part B, Clinical cytometry2022

Evaluation of multiple myeloma measurable residual disease by high sensitivity flow cytometry: An international harmonized approach for data analysis.

Kah Teong Soh, Neil Came, Gregory E Otteson, Dragan Jevremovic, Min Shi, Horatiu Olteanu, Alessandro Natoni, Anand Lagoo, Edward Theakston, Jón Þórir Óskarsson and 13 more

Abstract read
In one paragraph

Article in Cytometry. Part B, Clinical cytometry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

23 authors.

Kah Teong SohRoswell Park Comprehensive Cancer Center, Buffalo, New York, USA.ORCID 0000-0002-0146-0485
Neil CamePeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.ORCID 0000-0002-4715-3886
Gregory E OttesonMayo Clinic, Rochester, Minnesota, USA.
Dragan JevremovicMayo Clinic, Rochester, Minnesota, USA.
Min ShiMayo Clinic, Rochester, Minnesota, USA.
Horatiu OlteanuMayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-5783-4485
Alessandro NatoniNational University of Ireland Galway, Galway, Ireland.
Anand LagooDuke University Medical Center, Durham, North Carolina, USA.
Edward TheakstonAuckland District Health Board, Auckland, New Zealand.
Jón Þórir ÓskarssonFaculty of Medicine, University of Iceland, Reykjavík, Iceland.
Malgorzata GorniakAlfred Hospital, Melbourne, Victoria, Australia.
George GrigoriadisAlfred Hospital, Melbourne, Victoria, Australia.
Maria ArrozCentro Hospitalar de Lisboa Ocidental, Hospital S. Francisco Xavier, Lisbon, Portugal.
Matthew FletcherUK NEQAS for Leucocyte Immunophenotyping, Department of Haematology, Royal Hallamshire Hospital, Sheffield, UK.
Pei LinMD Anderson Cancer Center, Houston, Texas, USA.
Peter LudwigHanusch Hospital, Wien, Austria.
Prashant TembhareTata Memorial Centre, Mumbai, Maharashtra, India.ORCID 0000-0002-9030-0415
Reda MatuzevicieneInstitute of Biomedical Sciences, Department of Physiology, Biochemistry, Microbiology and Laboratory Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Mantas RadzeviciusInstitute of Biomedical Sciences, Department of Physiology, Biochemistry, Microbiology and Laboratory Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Sigi KayTel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.
Weina ChenUniversity of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0001-5638-4371
Carina CabritaCytognos SL, Salamanca, Spain.
Paul K WallaceRoswell Park Comprehensive Cancer Center, Buffalo, New York, USA.

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
NCI Cancer Center Support Grants 5P30 CA016056NCI NIH HHS P30 CA016056
6 · The paper itself

Abstract

backgroundMultiple myeloma (MM) measurable residual disease (MRD) evaluated by flow cytometry is a surrogate for progression-free and overall survival in clinical trials. However, analysis and reporting between centers lack uniformity. We designed and evaluated a consensus protocol for MM MRD analysis to reduce inter-laboratory variation in MM MRD reporting.

methodsSeventeen participants from 13 countries performed blinded analysis of the same eight de-identified flow cytometry files from patients with/without MRD using their own method (Stage 1). A consensus gating protocol was then designed following survey and discussions, and the data re-analyzed for MRD and other bone marrow cells (Stage 2). Inter-laboratory variation using the consensus strategy was reassessed for another 10 cases and compared with earlier results (Stage 3).

resultsIn Stage 1, participants agreed on MRD+/MRD- status 89% and 68% of the time respectively. Inter-observer variation was high for total numbers of analyzed cells, total and normal plasma cells (PCs), limit of detection, lower limit of quantification, and enumeration of cell populations that determine sample adequacy. The identification of abnormal PCs remained relatively consistent. By consensus method, average agreement on MRD- status improved to 74%. Better consistency enumerating all parameters among operators resulted in near-unanimous agreement on sample adequacy.

conclusionUniform flow cytometry data analysis substantially reduced inter-laboratory variation in reporting multiple components of the MM MRD assay. Adoption of a harmonized approach would meet an important need for conformity in reporting MM MRD for clinical trials, and wider acceptance of MM MRD as a surrogate clinical endpoint.

Indexed as

Multiple MyelomaData AnalysisFlow CytometryHumansNeoplasm, ResidualPlasma Cellsdata analysisharmonized approachlimit of detectionlower limit of quantificationmeasurable residual diseasemultiparametric flow cytometrymultiple myeloma

Identifiers

PMID35005838
PMCPMC10105368

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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.