Evidence map›Paper›PMID 39664391›Full record

ReviewFrontiers in immunology2024

Broadening horizons: the multifaceted role of ferroptosis in breast cancer.

Anqi Ge, Wang Xiang, Yan Li, Da Zhao, Junpeng Chen, Pawan Daga, Charles C Dai, Kailin Yang, Yexing Yan, Moujia Hao and 2 more

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. 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

12 authors.

Anqi GeThe First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Wang XiangDepartment of Rheumatology, The First People's Hospital Changde City, Changde, Hunan, China.
Yan LiPeople's Hospital of Ningxiang City, Ningxiang, China.
Da ZhaoThe First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Junpeng ChenPsychosomatic Laboratory, Department of Psychiatry, Daqing Hospital of Traditional Chinese Medicine, Daqing, China.
Pawan DagaDepartment of Internal Medicine, University of Louisville, Louisville, KY, United States.
Charles C DaiDepartment of Oral and Maxillofacial Surgery, University of Maryland School of Dentistry, Baltimore, MD, United States.
Kailin YangPsychosomatic Laboratory, Department of Psychiatry, Daqing Hospital of Traditional Chinese Medicine, Daqing, China.
Yexing YanPsychosomatic Laboratory, Department of Psychiatry, Daqing Hospital of Traditional Chinese Medicine, Daqing, China.
Moujia HaoPsychosomatic Laboratory, Department of Psychiatry, Daqing Hospital of Traditional Chinese Medicine, Daqing, China.
Bolin ZhangHainan Normal University, Haikou, China.
Wei XiaoDepartment of Rheumatology, The First People's Hospital Changde City, Changde, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer poses a serious threat to women's health globally. Current radiotherapy and chemotherapy regimens can induce drug-resistance effects in cancer tissues, such as anti-apoptosis, anti-pyroptosis, and anti-necroptosis, leading to poor clinical outcomes in the treatment of breast cancer. Ferroptosis is a novel programmed cell death modality characterized by iron overload, excessive generation of reactive oxygen species, and membrane lipid peroxidation. The occurrence of ferroptosis results from the imbalance between intracellular peroxidation mechanisms (executive system) and antioxidant mechanisms (defensive system), specifically involving iron metabolism pathways, amino acid metabolism pathways, and lipid metabolism pathways. In recent years, it has been found that ferroptosis is associated with the progression of various diseases, including tumors, hypertension, diabetes, and Alzheimer's disease. Studies have confirmed that triggering ferroptosis in breast cancer cells can significantly inhibit cancer cell proliferation and invasion, and improve cancer cell sensitivity to radiotherapy and chemotherapy, making induction of ferroptosis a potential strategy for the treatment of breast cancer. This paper reviews the development of the concept of ferroptosis, the mechanisms of ferroptosis (including signaling pathways such as GSH-GPX4, FSP1-CoQ1, DHODH-CoQ10, and GCH1-BH4) in breast cancer disease, the latest research progress, and summarizes the research on ferroptosis in breast cancer disease within the framework of metabolism, reactive oxygen biology, and iron biology. The key regulatory factors and mechanisms of ferroptosis in breast cancer disease, as well as important concepts and significant open questions in the field of ferroptosis and related natural compounds, are introduced. It is hoped that future research will make further breakthroughs in the regulatory mechanisms of ferroptosis and the use of ferroptosis in treating breast cancer cells. Meanwhile, natural compounds may also become a new direction for potential drug development targeting ferroptosis in breast cancer treatment. This provides a theoretical basis and opens up a new pathway for research and the development of drugs for the prevention and treatment of breast cancer.

Indexed as

Breast NeoplasmsFerroptosisAnimalsAntineoplastic AgentsFemaleHumansLipid PeroxidationReactive Oxygen SpeciesSignal TransductionAntineoplastic AgentsReactive Oxygen Speciesbreast cancerferroptosisinflammationiron metabolismreactive oxygen species

Identifiers

PMID39664391
PMCPMC11631881

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.