Evidence map›Paper›PMID 32355560›Full record

ArticleClinical & translational immunology2020

Identification of the immune checkpoint signature of multiple myeloma using mass cytometry-based single-cell analysis.

Jinheng Wang, Yongjiang Zheng, Chenggong Tu, Hui Zhang, Karin Vanderkerken, Eline Menu, Jinbao Liu

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Jinheng WangAffiliated Cancer Hospital & Institute of Guangzhou Medical University Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of Respiratory Disease School of Basic Medical Sciences Guangzhou Medical University Guangzhou China.ORCID https://orcid.org/0000-0002-2650-3816
Yongjiang ZhengDepartment of Hematology The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou China.
Chenggong TuAffiliated Cancer Hospital & Institute of Guangzhou Medical University Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of Respiratory Disease School of Basic Medical Sciences Guangzhou Medical University Guangzhou China.
Hui ZhangAffiliated Cancer Hospital & Institute of Guangzhou Medical University Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of Respiratory Disease School of Basic Medical Sciences Guangzhou Medical University Guangzhou China.
Karin VanderkerkenDepartment of Hematology and Immunology Myeloma Center Brussels Vrije Universiteit Brussel Brussels Belgium.
Eline MenuDepartment of Hematology and Immunology Myeloma Center Brussels Vrije Universiteit Brussel Brussels Belgium.
Jinbao LiuAffiliated Cancer Hospital & Institute of Guangzhou Medical University Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation State Key Laboratory of Respiratory Disease School of Basic Medical Sciences Guangzhou Medical University Guangzhou China.
State Key Laboratory of Respiratory Disease · CNVrije Universiteit Brussel · BESun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNew targets or strategies are needed to increase the success of immune checkpoint-based immunotherapy for multiple myeloma (MM). However, immune checkpoint signals in MM microenvironment have not been fully elucidated. Here, we aimed to have a broad overview of the different immune subsets and their immune checkpoint status, within the MM microenvironment, and to provide novel immunotherapeutic targets to treat MM patients.

methodsWe performed immune checkpoint profiling of bone marrow (BM) samples from MM patients and healthy controls using mass cytometry. With high-dimensional single-cell analysis of 30 immune proteins containing 10 pairs of immune checkpoint axes in 0.55 million of BM cells, an immune landscape of MM was mapped.

resultsWe identified an abnormality of immune cell composition by demonstrating a significant increase in activated CD4 T, CD8 T, CD8

conclusionA clear interaction between MM cells and the surrounding immune cells was established, leading to immune checkpoint dysregulation. The analysis of the immune landscape enhances our understanding of the MM immunological milieu and proposes novel targets for improving immune checkpoint blockade-based MM immunotherapy.

Indexed as

immune checkpointimmunotherapymass cytometrymultiple myelomasingle‐cell analysis

Identifiers

PMID32355560
PMCPMC7190397
OpenAlexW3023622568

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Registered trials

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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.