Evidence map›Paper›PMID 39751898›Full record

ReviewCancer immunology, immunotherapy : CII2025

Targeting immune checkpoints on myeloid cells: current status and future directions.

Chuhan Ma, Yang Li, Min Li, Chao Lv, Yu Tian

Abstract readReview
In one paragraph

Review in Cancer immunology, immunotherapy : CII, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

5 authors.

Chuhan MaDepartment of General Surgery, Shengjing Hospital of China Medical University, ShenyangLiaoning Province, 110004, China.
Yang LiDepartment of General Surgery, Shengjing Hospital of China Medical University, ShenyangLiaoning Province, 110004, China.
Min LiDepartment of Mammary Gland, Dalian Women and Children's Medical Center (Group), DalianLiaoning Province, 116000, China.
Chao Lv *Department of General Surgery, Shengjing Hospital of China Medical University, ShenyangLiaoning Province, 110004, China. clu@cmu.edu.cn.
Yu Tian *Department of General Surgery, Shengjing Hospital of China Medical University, ShenyangLiaoning Province, 110004, China. yu.tian@cmu.edu.cn.

Funding

National Natural Science Foundation of China 81974377
6 · The paper itself

Abstract

Myeloid cells accumulate extensively in most tumors and play a critical role in immunosuppression of the tumor microenvironment (TME). Like T cells, myeloid cells also express immune checkpoint molecules, which induce the immunosuppressive phenotype of these cells. In this review, we summarize the tumor-promoting function and immune checkpoint expression of four types of myeloid cells: macrophages, neutrophils, dendritic cells, and myeloid-derived suppressor cells, which are the main components of the TME. By summarizing the research status of myeloid checkpoints, we propose that blocking immune checkpoints on myeloid cells might be an effective strategy to reverse the immunosuppressive status of the TME. Moreover, combining nanotechnology, cellular therapy, and bispecific antibodies to achieve precise targeting of myeloid immune checkpoints can help to avoid the adverse effects of systemic administration, ultimately achieving a balance between efficacy and safety in cancer therapy.

Indexed as

Immune Checkpoint InhibitorsImmune Checkpoint ProteinsMyeloid CellsNeoplasmsTumor MicroenvironmentAnimalsHumansImmunotherapyImmune Checkpoint InhibitorsImmune Checkpoint ProteinsImmune checkpointMyeloid cellsNanotherapyTumor microenvironment

Identifiers

PMID39751898
PMCPMC11699031

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.