Evidence map›Paper›PMID 37828561›Full record

ReviewCell & bioscience2023

Glycolysis-cholesterol metabolic axis in immuno-oncology microenvironment: emerging role in immune cells and immunosuppressive signaling.

Jing Jin, Qijie Zhao, Zhigong Wei, Keliang Chen, Yonglin Su, Xiaolin Hu, Xingchen Peng

Open access · goldAbstract readReview
In one paragraph

Review in Cell & bioscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. 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 at 2 institutions in 1 country.

Jing Jin *Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Qijie Zhao *Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Zhigong WeiWest China School of Medicine, Sichuan University, Chengdu, China.
Keliang ChenWest China School of Medicine, Sichuan University, Chengdu, China.
Yonglin SuDepartment of Rehabilitation, Cancer Center, West China Hospital, Sichuan University, Sichuan, People's Republic of China. daage@163.com.
Xiaolin HuDepartment of Nursing, West China Hospital, Sichuan University, Chengdu, People's Republic of China. huxiaolin1220@126.com.
Xingchen PengDepartment of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China. pxx2014@163.com.
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

National Natural Science Foundation of China 81803104National Natural Science Foundation of China 82172842Sichuan Province Science and Technology Support Program 2020YFS0276Sichuan Province Science and Technology Support Program 2021YFSY008
6 · The paper itself

Abstract

Cell proliferation and function require nutrients, energy, and biosynthesis activity to duplicate repertoires for each daughter. It is therefore not surprising that tumor microenvironment (TME) metabolic reprogramming primarily orchestrates the interaction between tumor and immune cells. Tumor metabolic reprogramming affords bioenergetic, signaling intermediates, and biosynthesis requirements for both malignant and immune cells. Different immune cell subsets are recruited into the TME, and these manifestations have distinct effects on tumor progression and therapeutic outcomes, especially the mutual contribution of glycolysis and cholesterol metabolism. In particularly, glycolysis-cholesterol metabolic axis interconnection plays a critical role in the TME modulation, and their changes in tumor metabolism appear to be a double-edged sword in regulating various immune cell responses and immunotherapy efficacy. Hence, we discussed the signature manifestation of the glycolysis-cholesterol metabolic axis and its pivotal role in tumor immune regulation. We also highlight how hypothetical combinations of immunotherapy and glycolysis/cholesterol-related metabolic interventions unleash the potential of anti-tumor immunotherapies, as well as developing more effective personalized treatment strategies.

Indexed as

Glycolysis-Cholesterol Metabolic AxisImmune CellsImmunosuppressiveTumor microenvironment (TME)

Identifiers

PMID37828561
PMCPMC10571292
OpenAlexW4387598907

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.