Evidence map›Paper›PMID 35083160›Full record

ReviewFrontiers in oncology2021

The Development of Single-Cell Metabolism and Its Role in Studying Cancer Emergent Properties.

Dingju Wei, Meng Xu, Zhihua Wang, Jingjing Tong

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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Advanced Microfluidics for Single Cell-Based Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  4. Metabolomics of healthy hematopoietic stem cells and leukemic stem cells.Journal of clinical and translational research · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. The role of TIGIT-CD226-PVR axis in mediating T cell exhaustion and apoptosis in NSCLC.Apoptosis : an international journal on programmed cell death · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. 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

4 authors at 2 institutions in 1 country.

Dingju WeiSchool of Life Science, Central China Normal University, Wuhan, China.
Meng XuSchool of Life Science, Central China Normal University, Wuhan, China.
Zhihua WangShenzhen Key Laboratory of Cardiovascular Disease, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China.
Jingjing TongSchool of Life Science, Central China Normal University, Wuhan, China.
Central China Normal University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic reprogramming is one of the hallmarks of malignant tumors, which provides energy and material basis for tumor rapid proliferation, immune escape, as well as extensive invasion and metastasis. Blocking the energy and material supply of tumor cells is one of the strategies to treat tumor, however tumor cell metabolic heterogeneity prevents metabolic-based anti-cancer treatment. Therefore, searching for the key metabolic factors that regulate cell cancerous change and tumor recurrence has become a major challenge. Emerging technology--single-cell metabolomics is different from the traditional metabolomics that obtains average information of a group of cells. Single-cell metabolomics identifies the metabolites of single cells in different states by mass spectrometry, and captures the molecular biological information of the energy and substances synthesized in single cells, which provides more detailed information for tumor treatment metabolic target screening. This review will combine the current research status of tumor cell metabolism with the advantages of single-cell metabolomics technology, and explore the role of single-cell sequencing technology in searching key factors regulating tumor metabolism. The addition of single-cell technology will accelerate the development of metabolism-based anti-cancer strategies, which may greatly improve the prognostic survival rate of cancer patients.

Indexed as

cancer metabolismmetabolic heterogeneitymetabolic reprogrammingsingle-cell metabolomicstumor drug resistance

Identifiers

PMID35083160
PMCPMC8784738
OpenAlexW4205877786

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.