Evidence map›Paper›PMID 34858835›Full record

ReviewFrontiers in oncology2021

Metabolic Reprogramming in the Tumor Microenvironment With Immunocytes and Immune Checkpoints.

Yaolin Xu, Lijie He, Qiang Fu, Junzhe Hu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

29 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. T cell adaptation in chronic infections and tumors.Cellular & molecular immunology · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Hsp90Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  12. Article
  13. Review
  14. CD137-expressing regulatory T cells in cancer and autoimmune diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
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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

4 authors at 2 institutions in 1 country.

Yaolin XuDepartment of Oncology, The People's Hospital of China Medical University/The People's Hospital of LiaoNing Province, Shenyang, China.
Lijie HeDepartment of Oncology, The People's Hospital of China Medical University/The People's Hospital of LiaoNing Province, Shenyang, China.
Qiang FuDepartment of Cardiology, The People's Hospital of China Medical University/The People's Hospital of LiaoNing Province, Shenyang, China.
Junzhe HuThe Second Clinic Medical College, China Medical University, Shenyang, China.
Liaoning Provincial People's Hospital · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs), Ipilimumab, Nivolumab, Pembrolizumab and Atezolizumab, have been applied in anti-tumor therapy and demonstrated exciting performance compared to conventional treatments. However, the unsatisfactory response rates, high recurrence and adaptive resistance limit their benefits. Metabolic reprogramming appears to be one of the crucial barriers to immunotherapy. The deprivation of required nutrients and altered metabolites not only promote tumor progression but also confer dysfunction on immune cells in the tumor microenvironment (TME). Glycolysis plays a central role in metabolic reprogramming and immunoregulation in the TME, and many therapies targeting glycolysis have been developed, and their combinations with ICIs are in preclinical and clinical trials. Additional attention has been paid to the role of amino acids, lipids, nucleotides and mitochondrial biogenesis in metabolic reprogramming and clinical anti-tumor therapy. This review attempts to describe reprogramming metabolisms within tumor cells and immune cells, from the aspects of glycolysis, amino acid metabolism, lipid metabolism, nucleotide metabolism and mitochondrial biogenesis and their impact on immunity in the TME, as well as the significance of targeting metabolism in anti-tumor therapy, especially in combination with ICIs. In particular, we highlight the expression mechanism of programmed cell death (ligand) 1 [PD-(L)1] in tumor cells and immune cells under reprogramming metabolism, and discuss in detail the potential of targeting key metabolic pathways to break resistance and improve the efficacy of ICIs based on results from current preclinical and clinical trials. Besides, we draw out biomarkers of potential predictive value in ICIs treatment from a metabolic perspective.

Indexed as

amino acid metabolismglycolysisimmune checkpointslipid metabolismmitochondrial biogenesisnucleotide metabolismPD-1the tumor microenvironment

Identifiers

PMID34858835
PMCPMC8632143
OpenAlexW3212277766

What OpenQuestion holds

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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.