Evidence map›Paper›PMID 36033464›Full record

ArticleFrontiers in oncology2022

Immune microenvironment characteristics in multiple myeloma progression from transcriptome profiling.

Jin Wang, Yi Hu, Habib Hamidi, Cedric Dos Santos, Jingyu Zhang, Elizabeth Punnoose, Wenjin Li

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. T Cells Dysfunction in Multiple Myeloma.ImmunoTargets and therapy · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. 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

7 authors.

Jin WangOncology Biomarker Development, Roche (China) Holding Ltd., Shanghai, China.
Yi HuOncology Biomarker Development, Roche (China) Holding Ltd., Shanghai, China.
Habib HamidiOncology Biomarker Development, Genentech, Ltd., South San Francisco, CA, United States.
Cedric Dos SantosOncology Biomarker Development, Genentech, Ltd., South San Francisco, CA, United States.
Jingyu ZhangOncology Biomarker Development, Roche (China) Holding Ltd., Shanghai, China.
Elizabeth PunnooseOncology Biomarker Development, Genentech, Ltd., South San Francisco, CA, United States.
Wenjin LiOncology Biomarker Development, Roche (China) Holding Ltd., Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is characterized by clonal expansion of malignant plasma cells in the bone marrow (BM). Despite the significant advances in treatment, relapsed and refractory MM has not yet been completely cured due to the immune dysfunction in the tumor microenvironment (TME). In this study, we analyzed the transcriptome data from patients with newly diagnosed (ND) and relapsed/refractory (R/R) MM to characterize differences in the TME and further decipher the mechanism of tumor progression in MM. We observed highly expressed cancer testis antigens and immune suppressive cell infiltration, such as Th2 and M2 cells, are associated with MM progression. Furthermore, the TGF-β signature contributes to the worse outcome of patients with R/R MM. Moreover, patients with ND MM could be classified into immune-low and immune-high phenotypes. Immune-high patients with higher IFN-g signatures are associated with MHC-II-mediated CD4+ T-cell response through CIITA stimulation. The baseline TME status could potentially inform new therapeutic choices for the ND MM who are ineligible for autologous stem cell transplantation and may help predict the response to CAR-T for patients with R/R MM. Our study demonstrates how integrating tumor transcriptome and clinical information to characterize MM immune microenvironment and elucidate potential mechanisms of tumor progression and immune evasion, which will provide insights into MM treatment selection.

Indexed as

autologous stem cell transplantation (ASCT)immunotherapymicroenvironmentmultiple myelomatranscriptome

Identifiers

PMID36033464
PMCPMC9413314

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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.