Evidence map›Paper›PMID 40002248›Full record

ReviewCancers2025

Multiple Myeloma Insights from Single-Cell Analysis: Clonal Evolution, the Microenvironment, Therapy Evasion, and Clinical Implications.

Sihong Li, Jiahui Liu, Madeline Peyton, Olivia Lazaro, Sean D McCabe, Xiaoqing Huang, Yunlong Liu, Zanyu Shi, Zhiqi Zhang, Brian A Walker and 1 more

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Targeting NOTCH3 to eradicate dormant and therapy-resistant multiple myeloma cells.Journal of experimental & clinical cancer research : CR · 2026
    Article
  5. Article
  6. Review
  7. 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

11 authors.

Sihong LiIndiana Bioscience Research Institute, Indianapolis, IN 46202, USA.ORCID 0000-0002-9395-9952
Jiahui LiuIndiana Bioscience Research Institute, Indianapolis, IN 46202, USA.ORCID 0009-0000-4711-9058
Madeline PeytonIndiana Bioscience Research Institute, Indianapolis, IN 46202, USA.ORCID 0009-0004-3921-5663
Olivia LazaroIndiana Bioscience Research Institute, Indianapolis, IN 46202, USA.
Sean D McCabeSchool of Medicine, Indiana University, Indianapolis, IN 46202, USA.
Xiaoqing HuangRichard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN 46202, USA.ORCID 0009-0003-2183-8398
Yunlong LiuSchool of Medicine, Indiana University, Indianapolis, IN 46202, USA.ORCID 0000-0002-2699-626X
Zanyu ShiRichard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN 46202, USA.
Zhiqi ZhangRichard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN 46202, USA.ORCID 0009-0001-7214-1959
Brian A WalkerSchool of Medicine, Indiana University, Indianapolis, IN 46202, USA.ORCID 0000-0002-8615-6254
Travis S JohnsonIndiana Bioscience Research Institute, Indianapolis, IN 46202, USA.ORCID 0000-0002-4628-2256

Funding

Tumor Microenvironment and Metastasis ProgramP30CA082709 · NCI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI David W Clapp · 1999 to 2026
$59.3M
The Indiana Training Program in Public & Population Health InformaticsT15LM012502 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI Brian E. Dixon, William F Fadel · 2017 to 2026
$4.7M
A deep-transfer-learning framework to transfer clinical information to single cells and spatial locations in cancer tissuesR21CA264339 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI JOHNSON, TRAVIS STEELE, ZHANG, JIE · 2022 to 2023
$394k
Agnes Beaudry Endowment N/AAnalytixIN N/AIndiana University Precision Health Initiative N/ANCI NIH HHS P30 CA082709NCI NIH HHS R21 CA264339NIH HHS 5R01GM148970-03A1NIH HHS 5R21CA264339-02A1NLM NIH HHS T15 LM012502
6 · The paper itself

Abstract

Multiple myeloma (MM) is a complex and heterogeneous hematologic malignancy characterized by clonal evolution, genetic instability, and interactions with a supportive tumor microenvironment. These factors contribute to treatment resistance, disease progression, and significant variability in clinical outcomes among patients. This review explores the mechanisms underlying MM progression, including the genetic and epigenetic changes that drive clonal evolution, the role of the bone marrow microenvironment in supporting tumor growth and immune evasion, and the impact of genomic instability. We highlight the critical insights gained from single-cell technologies, such as single-cell transcriptomics, genomics, and multiomics, which have enabled a detailed understanding of MM heterogeneity at the cellular level, facilitating the identification of rare cell populations and mechanisms of drug resistance. Despite the promise of advanced technologies, MM remains an incurable disease and challenges remain in their clinical application, including high costs, data complexity, and the need for standardized bioinformatics and ethical considerations. This review emphasizes the importance of continued research and collaboration to address these challenges, ultimately aiming to enhance personalized treatment strategies and improve patient outcomes in MM.

Indexed as

clonal evolutionmultiple myelomamyelomaomicspersonalized medicinescRNA-seqsingle cellsingle-cell technologiestumor microenvironment

Identifiers

PMID40002248
PMCPMC11852428

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.