Evidence map›Paper›PMID 35017721›Full record

ReviewNature reviews. Clinical oncology2022

Single-cell profiling of tumour evolution in multiple myeloma - opportunities for precision medicine.

Ankit K Dutta, Jean-Baptiste Alberge, Romanos Sklavenitis-Pistofidis, Elizabeth D Lightbody, Gad Getz, Irene M Ghobrial

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
–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

79 citing papers in PubMed.

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  18. Targeting of the CD161 Inhibitory Receptor Enhances Bone-Marrow-Resident Memory CD8Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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19 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

6 authors.

Ankit K DuttaCenter for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0003-2535-3729
Jean-Baptiste AlbergeCenter for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, USA.
Romanos Sklavenitis-PistofidisCenter for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, USA.
Elizabeth D LightbodyCenter for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, USA.
Gad GetzCancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0936-0753
Irene M GhobrialCenter for Prevention of Progression of Blood Cancers, 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 (MM) is a haematological malignancy of plasma cells characterized by substantial intraclonal genetic heterogeneity. Although therapeutic advances made in the past few years have led to improved outcomes and longer survival, MM remains largely incurable. Over the past decade, genomic analyses of patient samples have demonstrated that MM is not a single disease but rather a spectrum of haematological entities that all share similar clinical symptoms. Moreover, analyses of samples from monoclonal gammopathy of undetermined significance and smouldering MM have also shown the existence of genetic heterogeneity in precursor stages, in some cases remarkably similar to that of MM. This heterogeneity highlights the need for a greater dissection of underlying disease biology, especially the clonal diversity and molecular events underpinning MM at each stage to enable the stratification of individuals with a high risk of progression. Emerging single-cell sequencing technologies present a superlative solution to delineate the complexity of monoclonal gammopathy of undetermined significance, smouldering MM and MM. In this Review, we discuss how genomics has revealed novel insights into clonal evolution patterns of MM and provide examples from single-cell studies that are beginning to unravel the mutational and phenotypic characteristics of individual cells within the bone marrow tumour, immune microenvironment and peripheral blood. We also address future perspectives on clinical application, proposing that multi-omics single-cell profiling can guide early patient diagnosis, risk stratification and treatment strategies.

Indexed as

Monoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaClonal EvolutionDisease ProgressionHumansPrecision MedicineTumor Microenvironment

Identifiers

What OpenQuestion holds

Textmetadata
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.