Evidence map›Paper›PMID 38438559›Full record

ReviewCancer gene therapy2024

CAR T therapies in multiple myeloma: unleashing the future.

Mohsen Sheykhhasan, Amirhossein Ahmadieh-Yazdi, Rosario Vicidomini, Naresh Poondla, Hamid Tanzadehpanah, Ashkan Dirbaziyan, Hanie Mahaki, Hamed Manoochehri, Naser Kalhor, Paola Dama

Open access · hybridAbstract readReview
In one paragraph

Review in Cancer gene therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 3 pooled it
37.0field-weighted citation impact, top 1% 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

98 citing papers in PubMed, 3 syntheses or guidelines pooled it, 131 citations in OpenAlex.

  1. Pooled it
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  4. Elranatamab: A novel B-cell maturation T-cell engager.Human vaccines & immunotherapeutics · 2026
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38 more citing papers are in PubMed but not listed here.

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

10 authors at 9 institutions in 3 countries.

Mohsen SheykhhasanCellular and Molecular Research Center, Qom University of Medical Sciences, Qom, Iran.ORCID 0000-0002-4610-2278
Amirhossein Ahmadieh-YazdiCellular and Molecular Research Center, Qom University of Medical Sciences, Qom, Iran.
Rosario Vicidomini *Section on Cellular Communication, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA.ORCID 0000-0002-5082-3238
Naresh Poondla *Icahn School of Medicine at Mount Sinai, New York, USA.
Hamid TanzadehpanahAntimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Ashkan DirbaziyanDepartment of Microbiology, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran.
Hanie MahakiVascular & Endovascular Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Hamed ManoochehriThe Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.ORCID 0000-0002-7117-1857
Naser KalhorDepartment of Mesenchymal Stem Cells, Academic Center for Education, Culture and Research, Qom, Iran.
Paola DamaSchool of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK. p.dama@sussex.ac.uk.ORCID 0000-0001-5716-9665
Mashhad University of Medical Sciences · IRAcademic Center for Education, Culture and Research · IRAja University of Medical Sciences · IRBiotechnology Research Center · IRIcahn School of Medicine at Mount Sinai · USNational Institutes of Health · USQom University of Medical Science and Health Services · IRShahid Sadoughi University of Medical Sciences and Health Services · IRUniversity of Sussex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the field of cancer treatment has witnessed remarkable breakthroughs that have revolutionized the landscape of care for cancer patients. While traditional pillars such as surgery, chemotherapy, and radiation therapy have long been available, a cutting-edge therapeutic approach called CAR T-cell therapy has emerged as a game-changer in treating multiple myeloma (MM). This novel treatment method complements options like autologous stem cell transplants and immunomodulatory medications, such as proteasome inhibitors, by utilizing protein complexes or anti-CD38 antibodies with potent complement-dependent cytotoxic effects. Despite the challenges and obstacles associated with these treatments, the recent approval of the second FDA multiple myeloma CAR T-cell therapy has sparked immense promise in the field. Thus far, the results indicate its potential as a highly effective therapeutic solution. Moreover, ongoing preclinical and clinical trials are exploring the capabilities of CAR T-cells in targeting specific antigens on myeloma cells, offering hope for patients with relapsed/refractory MM (RRMM). These advancements have shown the potential for CAR T cell-based medicines or combination therapies to elicit greater treatment responses and minimize side effects. In this context, it is crucial to delve into the history and functions of CAR T-cells while acknowledging their limitations. We can strategize and develop innovative approaches to overcome these barriers by understanding their challenges. This article aims to provide insights into the application of CAR T-cells in treating MM, shedding light on their potential, limitations, and strategies employed to enhance their efficacy.

Indexed as

Immunotherapy, AdoptiveMultiple MyelomaHumansReceptors, Chimeric AntigenReceptors, Chimeric Antigen

Identifiers

PMID38438559
PMCPMC11101341
OpenAlexW4392374645

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.