Evidence map›Paper›PMID 33993198›Full record

ArticleCell death & disease2021

BMI1 regulates multiple myeloma-associated macrophage's pro-myeloma functions.

Danfeng Zhang, Jingcao Huang, Fangfang Wang, Hong Ding, Yushan Cui, Yan Yang, Juan Xu, Hongmei Luo, Yuhan Gao, Ling Pan and 12 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2021. 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
3.1field-weighted citation impact, top 8% 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, 24 citations in OpenAlex.

  1. Review
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  12. Cell-derived nanovesicle-mediated drug delivery to the brain: Principles and strategies for vesicle engineering.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Review
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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

22 authors at 2 institutions in 2 countries.

Danfeng Zhang *Department of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Jingcao Huang *Department of Hematology, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-3041-6440
Fangfang WangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Hong DingDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Yushan CuiDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Yan YangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Juan XuDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Hongmei LuoDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Yuhan GaoDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Ling PanDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Yu WuDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Yuping GongDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Liping XieDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Zhigang LiuDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Ying QuDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Li ZhangDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China.
Weiping LiuDepartment of Pathology, West China Hospital, Sichuan University, Chengdu, China.
Wenyan ZhangDepartment of Pathology, West China Hospital, Sichuan University, Chengdu, China.
Sha ZhaoDepartment of Pathology, West China Hospital, Sichuan University, Chengdu, China.
Qing YiCenter for Translational Research in Hematologic Malignancies, Houston Methodist Cancer Center/Houston Methodist Research Institute, Houston Methodist, Houston, TX, USA.ORCID 0000-0003-1529-3398
Ting NiuDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China. tingniu@sina.com.
Yuhuan ZhengDepartment of Hematology, West China Hospital, Sichuan University, Chengdu, China. zhengyuhuan@scu.edu.cn.ORCID 0000-0002-5855-4343
Sichuan University · CNHouston Methodist · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is an aggressive malignancy characterized by terminally differentiated plasma cells accumulation in the bone marrow (BM). MM BM exhibits elevated MΦs (macrophages) numbers relative to healthy BM. Current evidence indicates that MM-MΦs (MM-associated macrophages) have pro-myeloma functions, and BM MM-MΦs numbers negatively correlate with patient survival. Here, we found that BMI1, a polycomb-group protein, modulates the pro-myeloma functions of MM-MΦs, which expressed higher BMI1 levels relative to normal MΦs. In the MM tumor microenvironment, hedgehog signaling in MΦs was activated by MM-derived sonic hedgehog, and BMI1 transcription subsequently activated by c-Myc. Relative to wild-type MM-MΦs, BMI1-KO (BMI1 knockout) MM-MΦs from BM cells of BMI1-KO mice exhibited reduced proliferation and suppressed expression of angiogenic factors. Additionally, BMI1-KO MM-MΦs lost their ability to protect MM cells from chemotherapy-induced cell death. In vivo analysis showed that relative to wild-type MM-MΦs, BMI1-KO MM-MΦs lost their pro-myeloma effects. Together, our data show that BMI1 mediates the pro-myeloma functions of MM-MΦs.

Indexed as

AnimalsBone MarrowHumansMacrophagesMiceMultiple MyelomaPolycomb Repressive Complex 1Proto-Oncogene ProteinsBmi1 protein, mousePolycomb Repressive Complex 1Proto-Oncogene Proteins

Identifiers

PMID33993198
PMCPMC8124065
OpenAlexW3162216898

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.