Evidence map›Paper›PMID 39034339›Full record

ArticleNature communications2024

A single-cell pan-cancer analysis to show the variability of tumor-infiltrating myeloid cells in immune checkpoint blockade.

Weiyuan Li, Lu Pan, Weifeng Hong, Florent Ginhoux, Xuan Zhang, Chunjie Xiao, Xuexin Li

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

7 authors.

Weiyuan Li *School of Medicine, Yunnan University, Kunming, Yunnan, 650091, China.
Lu Pan *Institute of Environmental Medicine, Karolinska Institutet, Solna, 171 65, Sweden.ORCID 0000-0001-7467-6992
Weifeng Hong *Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, 310005, China.
Florent GinhouxSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore.ORCID 0000-0002-2857-7755
Xuan ZhangDepartment of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China.
Chunjie XiaoSchool of Medicine, Yunnan University, Kunming, Yunnan, 650091, China. chjxiao@ynu.edu.cn.
Xuexin LiDepartment of General Surgery, The Fourth Affiliated Hospital, China Medical University, Shenyang, 110032, China. xuexin.li@ki.se.ORCID 0000-0001-5824-9720

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81860499
6 · The paper itself

Abstract

Myeloid cells are vital components of the immune system and have pivotal functions in orchestrating immune responses. Understanding their functions within the tumor microenvironment and their interactions with tumor-infiltrating lymphocytes presents formidable challenges across diverse cancer types, particularly with regards to cancer immunotherapies. Here, we explore tumor-infiltrating myeloid cells (TIMs) by conducting a pan-cancer analysis using single-cell transcriptomics across eight distinct cancer types, encompassing a total of 192 tumor samples from 129 patients. By examining gene expression patterns and transcriptional activities of TIMs in different cancer types, we discern notable alterations in abundance of TIMs and kinetic behaviors prior to and following immunotherapy. We also identify specific cell-cell interaction targets in immunotherapy; unique and shared regulatory profiles critical for treatment response; and TIMs associated with survival outcomes. Overall, our study illuminates the heterogeneity of TIMs and improves our understanding of tissue-specific and cancer-specific myeloid subsets within the context of tumor immunotherapies.

Indexed as

Immune Checkpoint InhibitorsImmunotherapyMyeloid CellsNeoplasmsSingle-Cell AnalysisTumor MicroenvironmentGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingTranscriptomeImmune Checkpoint Inhibitors

Identifiers

PMID39034339
PMCPMC11271490

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.