Evidence map›Paper›PMID 39976173›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

AKT1 Phosphorylates FDX1 to Promote Cuproptosis Resistance in Triple-Negative Breast Cancer.

Zicheng Sun, Huazhen Xu, Guanming Lu, Ciqiu Yang, Xinya Gao, Jing Zhang, Xin Liu, Yongcheng Chen, Kun Wang, Jianping Guo and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Role of Ferredoxin 1Cancer pathogenesis and therapy · 2026
    Review
  9. Review
  10. Review
  11. Article
  12. Regulated cell death programs shaping cancer therapy.Cellular oncology (Dordrecht, Netherlands) · 2026
    Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Harnessing Cuproptosis resistance to advance cancer therapeutics.Apoptosis : an international journal on programmed cell death · 2026
    Review
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

11 authors.

Zicheng SunDepartment of Breast and Thyroid Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, 510000, China.
Huazhen XuDepartment of Breast and Thyroid Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, 510000, China.
Guanming LuDepartment of Breast and Thyroid Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities and Key Laboratory of Molecular Pathology in Tumors of Guangxi, Guangxi, 533000, China.
Ciqiu YangDepartment of Breast Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China.
Xinya GaoDepartment of Breast and Thyroid Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, 510000, China.
Jing ZhangDepartment of Breast and Thyroid Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, 510000, China.
Xin LiuDepartment of Breast and Thyroid Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, 510000, China.
Yongcheng ChenDepartment of Breast and Thyroid Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities and Key Laboratory of Molecular Pathology in Tumors of Guangxi, Guangxi, 533000, China.
Kun WangDepartment of Breast Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China.
Jianping GuoInstitute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510000, China.
Jie LiDepartment of Breast and Thyroid Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, 510000, China.ORCID https://orcid.org/0000-0003-1232-3248

Funding

Affiliated Hospital of Youjiang Medical University for Nationalities R20196307Guangxi Natural Science Foundation 2019JJA140071Joint Funding Project of Guangzhou SL2024A03J01234National Natural Science Foundation of China 82172917National Natural Science Foundation of China 82302952ProteomeXchange under the accession PXD058176
6 · The paper itself

Abstract

Cuproptosis, a recently defined copper-dependent cell death pathway, remains largely unexplored in tumor therapies, particularly in breast cancer. This study demonstrates that triple-negative breast cancer (TNBC) bears a relatively elevated copper levels and exhibits resistance to cuproptosis. Mechanistically, copper activates the AKT signaling pathway, which inhibits ferredoxin-1 (FDX1), a key regulator of cuproptosis. AKT1-mediated FDX1 phosphorylation not only abrogates FDX1-induced cuproptosis and aerobic respiration but also promotes glycolysis. Consequently, the combination of AKT1 inhibitors and the copper ionophores synergistically alleviate TNBC tumorigenesis both in vitro and in vivo. In summary, the findings reveal a crucial mechanism underlying TNBC resistance to cuproptosis and suggest a potential therapeutic approach for TNBC.

Indexed as

CopperFerredoxinsProto-Oncogene Proteins c-aktTriple Negative Breast NeoplasmsAnimalsCell Line, TumorDrug Resistance, NeoplasmFemaleHumansMicePhosphorylationSignal TransductionAKT1 protein, humanCopperFerredoxinsProto-Oncogene Proteins c-aktAKT1breast cancercuproptosisFDX1metabolic reprogramming

Identifiers

PMID39976173
PMCPMC12061301

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Registered trials

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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.