Evidence map›Paper›PMID 25798669›Full record

Trial reportBone marrow transplantation2015

The impact of circulating suppressor cells in multiple myeloma patients on clinical outcome of DLIs.

L E Franssen, N W C J van de Donk, M E Emmelot, M W H Roeven, N Schaap, H Dolstra, W Hobo, H M Lokhorst, T Mutis

Registry-linked trialOpen access · greenAbstract readClinical TrialMulticenter Study
PubMed Publisher
In one paragraph

Trial report in Bone marrow transplantation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02419118 ("Monoclonal Antibodies for Treatment of Multiple Myeloma. Present Status and Aspects of Effector Mechanisms With Emphasis on the CD38 Antibody Daratumumab "), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 24% 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.

NCT02419118 phase2 / phase3completednot on this map

"Monoclonal Antibodies for Treatment of Multiple Myeloma. Present Status and Aspects of Effector Mechanisms With Emphasis on the CD38 Antibody Daratumumab "

TypeinterventionalSponsorVejle HospitalRan2015 to 2015Enrolled4ConditionsMultiple MyelomaArmsDaratumumab, Lenalidomide, Dexamethasone
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Monocytic Myeloid Derived Suppressor Cells in Hematological Malignancies.International journal of molecular sciences · 2019
    Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Myeloid-derived suppressor cells in B cell malignancies.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    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

9 authors at 4 institutions in 1 country.

L E Franssen1] Department of Hematology, University Medical Center Utrecht, Utrecht, The Netherlands [2] Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands.
N W C J van de DonkDepartment of Hematology, VU University Medical Center, Amsterdam, The Netherlands.
M E Emmelot1] Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands [2] Department of Clinical Chemistry and Hematology, University Medical Center Utrecht, Utrecht, The Netherlands.
M W H RoevenDepartment of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands.
N SchaapDepartment of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands.
H DolstraDepartment of Laboratory Medicine-Laboratory of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands.
W HoboDepartment of Laboratory Medicine-Laboratory of Hematology, Radboud University Medical Center, Nijmegen, The Netherlands.
H M LokhorstDepartment of Hematology, VU University Medical Center, Amsterdam, The Netherlands.
T Mutis1] Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands [2] Department of Clinical Chemistry and Hematology, University Medical Center Utrecht, Utrecht, The Netherlands.
Amsterdam UMC Location VUmc · NLRadboud University Medical Center · NLRadboud University Nijmegen · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allo-SCT followed by DLIs can establish long-term remissions in multiple myeloma (MM) patients. In many patients, however, the immunotherapeutic graft-versus-tumor (GVT) effect is moderate and not sustained, implying that immune suppression is mediated, among other factors, by regulatory T cells (Tregs) or myeloid-derived suppressor cells (MDSCs). Towards a better understanding and, eventually, manipulation of the immune-regulatory mechanisms in transplanted MM patients, we retrospectively sought a correlation between DLI outcome and circulating CD14(+) MDSCs, CD14(-) MDSCs and Tregs in 53 MM patients before their first DLI. We found significantly elevated frequencies of highly suppressive CD14(+) MDSCs, CD14(-) MDSCs and Tregs in pre-DLI samples from patients. Higher frequencies of Tregs, but not of MDSCs, were significantly associated with non-responsiveness to DLI. Furthermore, a lower frequency of Tregs predicted the development of chronic GVHD, which, in turn, displayed a high association with GVT. Elevated Treg frequencies before DLI were also associated with significantly shorter PFS and OS. Hence, our data reinforce the idea of active suppression of antitumor responses by Tregs in MM patients and therefore suggest that targeting patient Tregs before DLI may improve outcome of DLI.

Indexed as

Multiple MyelomaStem Cell TransplantationAdultAgedAllograftsFemaleGraft vs Tumor EffectHumansMaleMiddle AgedMyeloid CellsRetrospective StudiesT-Lymphocytes, Regulatory

Identifiers

PMID25798669
OpenAlexW2074659589

What OpenQuestion holds

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Read underepoch 390

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.