Evidence map›Paper›PMID 36779841›Full record

ArticleCancer research2023

Single-Cell Discovery and Multiomic Characterization of Therapeutic Targets in Multiple Myeloma.

Lijun Yao, Julia T Wang, Reyka G Jayasinghe, Julie O'Neal, Chia-Feng Tsai, Michael P Rettig, Yizhe Song, Ruiyang Liu, Yanyan Zhao, Omar M Ibrahim and 22 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
9.9field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 34 citations in OpenAlex.

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

32 authors at 4 institutions in 1 country.

Lijun Yao *Department of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0001-6131-8491
Julia T Wang *Department of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-2233-8841
Reyka G Jayasinghe *Department of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0003-2368-4890
Julie O'NealDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-4770-8052
Chia-Feng TsaiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington.ORCID 0000-0002-6514-6911
Michael P RettigDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-1091-0564
Yizhe SongDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0001-8760-6432
Ruiyang LiuDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-8235-3998
Yanyan ZhaoDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0003-4978-1410
Omar M IbrahimDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-9903-6657
Mark A FialaDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-0208-5023
Julie M FortierDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-5613-9162
Siqi ChenDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-9670-3805
Leah GehrsDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0001-5944-7868
Fernanda Martins RodriguesDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-2140-0690
Michael C WendlDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-5694-2668
Daniel KohnenDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0001-5198-970X
Andrew ShinkleDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-2369-9446
Song CaoDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0003-2965-5855
Steven M FoltzDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-9526-8194
Daniel Cui ZhouDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-7834-2778
Erik StorrsDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-8041-0864
Matthew A WyczalkowskiDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0003-4197-551X
Smrithi ManiDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-8274-3929
Scott R GoldsmithDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0001-9216-2418
Ying ZhuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington.ORCID 0000-0002-5416-0566
Mark HamiltonMultiple Myeloma Research Foundation, Norwalk, Connecticut.ORCID 0000-0003-2931-1307
Tao LiuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington.ORCID 0000-0001-9529-6550
Feng ChenDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-2307-7954
Ravi VijDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0001-8795-3610
Li DingDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0003-1517-2975
John F DiPersioDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.ORCID 0000-0002-0429-3133
James S. McDonnell Foundation · USWashington University in St. Louis · USPacific Northwest National Laboratory · USMultiple Myeloma Research Foundation · US

Funding

WASHINGTON UNIVERSITY HUMAN TUMOR ATLAS RESEARCH CENTERU2CCA233303 · NCI · WASHINGTON UNIVERSITY · PI GILLANDERS, WILLIAM E. · 2018 to 2023
$9.7M
Optimizing Hematopoietic Stem Cell Transplantation For The Treatment Of Hematological MalignanciesR35CA210084 · NCI · WASHINGTON UNIVERSITY · PI John F. Dipersio · 2017 to 2026
$7.8M
Center for Advanced Multi-Omic Characterization of CancerU24CA271012 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI Tao Liu · 2022 to 2026
$6.6M
PNNL Proteome Characterization CenterU24CA210955 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI LIU, TAO, SMITH, RICHARD D · 2016 to 2020
$5.3M
BM NICHE DISRUPTION AND IMMUNOTHERAPY IN HEMATOLOGICAL MALIGNANCIESR50CA211466 · NCI · WASHINGTON UNIVERSITY · PI Michael Rettig · 2016 to 2026
$2.3M
Deep Discovery and Clinical Interpretation of Germline and Somatic Cancer DriversU24CA211006 · NCI · WASHINGTON UNIVERSITY · PI DING, LI, GOVINDAN, RAMASWAMY · 2016 to 2020
$1.8M
NCI NIH HHS R35 CA210084NCI NIH HHS R50 CA211466NCI NIH HHS U24 CA210955NCI NIH HHS U24 CA211006NCI NIH HHS U24 CA271012NCI NIH HHS U2C CA233303
6 · The paper itself

Abstract

Multiple myeloma (MM) is a highly refractory hematologic cancer. Targeted immunotherapy has shown promise in MM but remains hindered by the challenge of identifying specific yet broadly representative tumor markers. We analyzed 53 bone marrow (BM) aspirates from 41 MM patients using an unbiased, high-throughput pipeline for therapeutic target discovery via single-cell transcriptomic profiling, yielding 38 MM marker genes encoding cell-surface proteins and 15 encoding intracellular proteins. Of these, 20 candidate genes were highlighted that are not yet under clinical study, 11 of which were previously uncharacterized as therapeutic targets. The findings were cross-validated using bulk RNA sequencing, flow cytometry, and proteomic mass spectrometry of MM cell lines and patient BM, demonstrating high overall concordance across data types. Independent discovery using bulk RNA sequencing reiterated top candidates, further affirming the ability of single-cell transcriptomics to accurately capture marker expression despite limitations in sample size or sequencing depth. Target dynamics and heterogeneity were further examined using both transcriptomic and immuno-imaging methods. In summary, this study presents a robust and broadly applicable strategy for identifying tumor markers to better inform the development of targeted cancer therapy. SIGNIFICANCE: Single-cell transcriptomic profiling and multiomic cross-validation to uncover therapeutic targets identifies 38 myeloma marker genes, including 11 transcribing surface proteins with previously uncharacterized potential for targeted antitumor therapy.

Indexed as

Multiple MyelomaBiomarkers, TumorGene Expression ProfilingHumansMultiomicsProteomicsBiomarkers, Tumor

Identifiers

PMID36779841
PMCPMC10102848
OpenAlexW4320485996

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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.