Evidence map›Paper›PMID 38406516›Full record

ArticleEJHaem2024

Identifying clinical response to daratumumab therapy in relapsed/refractory multiple myeloma using a patient-derived in vitro model.

Niels van Nieuwenhuijzen, Marta Cuenca, Leonie Abbink, Margot Jak, Victor Peperzak, Monique C Minnema

Open access · diamondAbstract read
In one paragraph

Article in EJHaem, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Niels van NieuwenhuijzenDepartment of Hematology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.ORCID https://orcid.org/0000-0002-4120-7898
Marta CuencaCenter for Translational Immunology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.
Leonie AbbinkDepartment of Hematology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.
Margot JakDepartment of Hematology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.ORCID https://orcid.org/0000-0001-8092-3566
Victor PeperzakCenter for Translational Immunology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.ORCID https://orcid.org/0000-0002-9011-3820
Monique C MinnemaDepartment of Hematology University Medical Center Utrecht, Utrecht University Utrecht The Netherlands.ORCID https://orcid.org/0000-0002-3139-8379
Utrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Response to daratumumab in patients with relapsed/refractory multiple myeloma is heterogeneous, and a reliable biomarker of response is lacking. We aimed to develop a method that identifies response to daratumumab therapy. Patient-derived MM cells were collected before start of daratumumab treatment and were cultured in a hydrogel-based culture system. The extent of antibody-dependent cellular cytotoxicity and complement-dependent cytotoxicity in vitro was associated with both clinical response and progression-free survival in corresponding patients. Together, our results demonstrate that in vitro sensitivity to daratumumab therapy in a hydrogel culture with primary MM cells might be used to identify patients most likely to benefit from treatment.

Indexed as

daratumumabmultiple myelomapatient‐derived plasma cellsrelapsed/refractory multiple myelomaresponse to therapy

Identifiers

PMID38406516
PMCPMC10887349
OpenAlexW4389136891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.