Evidence map›Paper›PMID 32742562›Full record

ReviewWorld journal of stem cells2020

Energy metabolism in cancer stem cells.

Xuan Zhu, Hui-Hui Chen, Chen-Yi Gao, Xin-Xin Zhang, Jing-Xin Jiang, Yi Zhang, Jun Fang, Feng Zhao, Zhi-Gang Chen

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of stem cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.1field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Metabolic reprogramming and plasticity of cancer stem cells.Frontiers in cell and developmental biology · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Polyamine Anabolism Promotes Chemotherapy-Induced Breast Cancer Stem Cell Enrichment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Biomarkers and targeted therapy for cancer stem cells.Trends in pharmacological sciences · 2024
    Review
  17. Article
  18. Review
  19. Article
  20. 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

9 authors at 4 institutions in 1 country.

Xuan ZhuDepartment of Radiation Oncology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310000, Zhejiang Province, China.
Hui-Hui ChenThe Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Hangzhou 310000, Zhejiang Province, China.
Chen-Yi GaoKey Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Hangzhou 310000, Zhejiang Province, China.
Xin-Xin ZhangKey Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Hangzhou 310000, Zhejiang Province, China.
Jing-Xin JiangKey Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Hangzhou 310000, Zhejiang Province, China.
Yi ZhangKey Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Hangzhou 310000, Zhejiang Province, China.
Jun FangInstitute of Cancer and Basic Medicine, Chinese Academy of Sciences, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou 310000, Zhejiang Province, China.
Feng ZhaoDepartment of Radiation Oncology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310000, Zhejiang Province, China.
Zhi-Gang ChenKey Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Hangzhou 310000, Zhejiang Province, China.
Blood Center of Zhejiang Province · CNFirst Affiliated Hospital Zhejiang University · CNMinistry of Education of the People's Republic of China · CNZhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Normal cells mainly rely on oxidative phosphorylation as an effective energy source in the presence of oxygen. In contrast, most cancer cells use less efficient glycolysis to produce ATP and essential biomolecules. Cancer cells gain the characteristics of metabolic adaptation by reprogramming their metabolic mechanisms to meet the needs of rapid tumor growth. A subset of cancer cells with stem characteristics and the ability to regenerate exist throughout the tumor and are therefore called cancer stem cells (CSCs). New evidence indicates that CSCs have different metabolic phenotypes compared with differentiated cancer cells. CSCs can dynamically transform their metabolic state to favor glycolysis or oxidative metabolism. The mechanism of the metabolic plasticity of CSCs has not been fully elucidated, and existing evidence indicates that the metabolic phenotype of cancer cells is closely related to the tumor microenvironment. Targeting CSC metabolism may provide new and effective methods for the treatment of tumors. In this review, we summarize the metabolic characteristics of cancer cells and CSCs and the mechanisms of the metabolic interplay between the tumor microenvironment and CSCs, and discuss the clinical implications of targeting CSC metabolism.

Indexed as

Cancer stem cellsDifferentiated cancer cellsGlycolysisMetabolic characteristicsMetabolic interplayOxidative phosphorylationTumor microenvironment

Identifiers

PMID32742562
PMCPMC7360992
OpenAlexW3037640252

What OpenQuestion holds

Textmetadata
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.