Evidence map›Paper›PMID 36380017›Full record

ArticleExperimental & molecular medicine2022

Single-cell analysis of multiple myelomas refines the molecular features of bortezomib treatment responsiveness.

Seung-Hyun Jung, Sung-Soo Park, Ji-Young Lim, Seon Yong Sohn, Na Yung Kim, Dokyeong Kim, Sug Hyung Lee, Yeun-Jun Chung, Chang-Ki Min

Open access · goldAbstract read
In one paragraph

Article in Experimental & molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Construction of a treatment response prediction model for multiple myeloma based on multi-omics and machine learning.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Targeting the ribosome to treat multiple myeloma.Molecular therapy. Oncology · 2024
    Article
  15. Article
  16. Natural products targeting the MAPK-signaling pathway in cancer: overview.Journal of cancer research and clinical oncology · 2024
    Review
  17. Review
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

9 authors at 2 institutions in 1 country.

Seung-Hyun Jung *Department of Biochemistry, College of Medicine, The Catholic University of Korea, Seoul, South Korea. hyun@catholic.ac.kr.ORCID 0000-0003-1128-892X
Sung-Soo Park *Department of Hematology, Seoul St. Mary's Hematology Hospital, Seoul, South Korea.ORCID 0000-0002-8826-4136
Ji-Young LimDepartment of Hematology, Seoul St. Mary's Hematology Hospital, Seoul, South Korea.
Seon Yong SohnDepartment of Biochemistry, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Na Yung KimDepartment of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Dokyeong KimDepartment of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Sug Hyung LeeDepartment of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea. suhulee@catholic.ac.kr.
Yeun-Jun ChungDepartment of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea. yejun@catholic.ac.kr.ORCID 0000-0002-6943-5948
Chang-Ki MinDepartment of Hematology, Seoul St. Mary's Hematology Hospital, Seoul, South Korea. ckmin@catholic.ac.kr.
Catholic University of Korea · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both the tumor and tumor microenvironment (TME) are crucial for pathogenesis and chemotherapy resistance in multiple myeloma (MM). Bortezomib, commonly used for MM treatment, works on both MM and TME cells, but innate and acquired resistance easily develop. By single-cell RNA sequencing (scRNA-seq), we investigated bone marrow aspirates of 18 treatment-naïve MM patients who later received bortezomib-based treatments. Twelve plasma and TME cell types and their subsets were identified. Suboptimal responders (SORs) to bortezomib exhibited higher copy number alteration burdens than optimal responders (ORs). Forty-four differentially expressed genes for SORs based on scRNA-seq data were further analyzed in an independent cohort of 90 treatment-naïve MMs, where 24 genes were validated. A combined model of three clinical variables (older age, low absolute lymphocyte count, and no autologous stem cell transplantation) and 24 genes was associated with bortezomib responsiveness and poor prognosis. In T cells, cytotoxic memory, proliferating, and dysfunctional subsets were significantly enriched in SORs. Moreover, we identified three monocyte subsets associated with bortezomib responsiveness and an MM-specific NK cell trajectory that ended with an MM-specific subset. scRNA-seq predicted the interaction of the GAS6-MERTK, ALCAM-CD6, and BAG6-NCR gene networks. Of note, tumor cells from ORs and SORs were the most prominent sources of ALCAM on effector T cells and BAG6 on NK cells, respectively. Our results indicate that the complicated compositional and molecular changes of both tumor and immune cells in the bone marrow (BM) milieu are important in the development and acquisition of resistance to bortezomib-based treatment of MM.

Indexed as

Multiple MyelomaActivated-Leukocyte Cell Adhesion MoleculeBortezomibHumansMolecular ChaperonesSingle-Cell AnalysisTumor MicroenvironmentActivated-Leukocyte Cell Adhesion MoleculeBAG6 protein, humanBortezomibMolecular Chaperones

Identifiers

PMID36380017
PMCPMC9723182
OpenAlexW4309247148

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.