Evidence map›Paper›PMID 39414947›Full record

ReviewNature reviews. Cancer2024

New horizons in our understanding of precursor multiple myeloma and early interception.

David M Cordas Dos Santos, Rosa Toenges, Luca Bertamini, Jean-Baptiste Alberge, Irene M Ghobrial

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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.

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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

David M Cordas Dos SantosDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9198-8338
Rosa ToengesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Luca BertaminiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Jean-Baptiste AlbergeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4218-7294
Irene M GhobrialDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. irene_ghobrial@dfci.harvard.edu.ORCID http://orcid.org/0000-0001-7361-3092

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma is an incurable plasma cell malignancy that evolves over decades through the selection and malignant transformation of monoclonal plasma cells. The evolution from precursor states to symptomatic disease is characterized by an increasing complexity of genomic alterations within the plasma cells and a remodelling of the microenvironment towards an immunosuppressive state. Notably, in patients with advanced disease, similar mechanisms of tumour escape and immune dysfunction mediate resistance to modern T cell-based therapies, such as T cell-engaging bispecific antibodies and chimeric antigen receptor (CAR)-T cells. Thus, an increasing number of clinical trials are assessing the efficiency and safety of these therapies in individuals with newly diagnosed multiple myeloma and high-risk smoldering multiple myeloma. In this Review, we summarize the current knowledge about tumour intrinsic and extrinsic processes underlying progression from precursor states to symptomatic myeloma and discuss the rationale for early interception including the use of T cell-redirecting therapies.

Indexed as

Multiple MyelomaAnimalsAntibodies, BispecificDisease ProgressionHumansImmunotherapy, AdoptivePlasma CellsT-LymphocytesTumor MicroenvironmentAntibodies, Bispecific

Identifiers

What OpenQuestion holds

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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.