Evidence map›Paper›PMID 25303369›Full record

Trial reportBlood cancer journal2014

Comparative analysis of minimal residual disease detection by multiparameter flow cytometry and enhanced ASO RQ-PCR in multiple myeloma.

R Silvennoinen, T Lundan, V Kairisto, T-T Pelliniemi, M Putkonen, P Anttila, V Huotari, P Mäntymaa, S Siitonen, L Uotila and 4 more

Registry-linked trialAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Blood cancer journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06109233 (A Perspective Study of the MRD-tailored Therapy in Patients With Newly Diagnosed Multiple Myeloma With Persistent Minimal Residual Disease After Initial Treatment), which is not on this map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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.

NCT06109233 unknown statusnot on this mapstarted 2022, after this paper: background citation

A Perspective Study of the MRD-tailored Therapy in Patients With Newly Diagnosed Multiple Myeloma With Persistent Minimal Residual Disease After Initial Treatment

TypeobservationalSponsorFengYan JinRan2022 to 2026Enrolled80ConditionsMultiple Myeloma, Minimal Residual Disease
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Article
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  15. BMT CTN Myeloma Intergroup Workshop on Minimal Residual Disease and Immune Profiling: Summary and Recommendations from the Organizing Committee.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2018
    Review
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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

14 authors.

R Silvennoinen1] Department of Medicine, Tampere University Hospital, Tampere, Finland [2] Department of Medicine and Hematology, Kuopio University Hospital, Kuopio, Finland.
T LundanTYKSLAB, Laboratory of Molecular Genetics, Turku University Hospital, Turku, Finland.
V KairistoTYKSLAB, Laboratory of Molecular Genetics, Turku University Hospital, Turku, Finland.
T-T Pelliniemi1] Fimlab Medical Laboratories Ltd, Tampere University Hospital, Tampere, Finland [2] Department of Clinical Chemistry, Turku University, Turku, Finland.
M PutkonenDepartment of Internal Medicine, Turku University Hospital, Turku University, Turku, Finland.
P AnttilaHelsinki University Hospital, Helsinki, Finland.
V Huotari1] NordLab Oulu, Oulu University Hospital, Oulu, Finland [2] Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.
P MäntymaaLaboratory of Eastern Finland, Kuopio University Hospital, Kuopio, Finland.
S SiitonenHUSLAB, Laboratory of Clinical Chemistry, Helsinki University Hospital, Helsinki, Finland.
L UotilaHUSLAB, Laboratory of Clinical Chemistry, Helsinki University Hospital, Helsinki, Finland.
T-L PenttiläTYKSLAB, Laboratory of Clinical Haematology, Turku University Hospital, Turku, Finland.
V JuvonenTYKSLAB, Laboratory of Molecular Genetics, Turku University Hospital, Turku, Finland.
T SelanderScience Services Center, Kuopio University Hospital, Kuopio, Finland.
K RemesDepartment of Internal Medicine, Turku University Hospital, Turku University, Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiparameter flow cytometry (MFC) and allele-specific oligonucleotide real-time quantitative PCR (ASO RQ-PCR) are the two most sensitive methods to detect minimal residual disease (MRD) in multiple myeloma (MM). We compared these methods in 129 paired post-therapy samples from 22 unselected, consecutive MM patients in complete/near complete remission. Appropriate immunophenotypic and ASO RQ-PCR-MRD targets could be detected and MRD analyses constructed for all patients. The high PCR coverage could be achieved by gradual widening of the primer sets used for clonality detection. In addition, for 13 (55%) of the patients, reverse orientation of the ASO primer and individual design of the TaqMan probe improved the sensitivity and specificity of ASO RQ-PCR analysis. A significant nonlinear correlation prevailed between MFC-MRD and PCR-MRD when both were positive. Discordance between the methods was found in 32 (35%) paired samples, which were negative by MFC-MRD, but positive by ASO RQ-PCR. The findings suggest that with the described technique, ASO RQ-PCR can be constructed for all patients with MM. ASO RQ-PCR is slightly more sensitive in MRD detection than 6-10-color flow cytometry. Owing to technical demands ASO RQ-PCR could be reserved for patients in immunophenotypic remission, especially in efficacy comparisons between different drugs and treatment modalities.

Indexed as

AdultAgedFemaleFlow CytometryHumansMaleMiddle AgedMultiple MyelomaNeoplasm, ResidualReal-Time Polymerase Chain Reaction

Identifiers

PMID25303369
PMCPMC4220647

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Registered trials

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.