Evidence map›Paper›PMID 28114286›Full record

ArticleOncogene2017

FOXM1 recruits nuclear Aurora kinase A to participate in a positive feedback loop essential for the self-renewal of breast cancer stem cells.

N Yang, C Wang, Z Wang, S Zona, S-X Lin, X Wang, M Yan, F-M Zheng, S-S Li, B Xu and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Oncogene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

82 citing papers in PubMed, 118 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. The Role of the Fox Gene in Breast Cancer Progression.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review

22 more citing papers are in PubMed but not listed here.

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

14 authors at 5 institutions in 2 countries.

N YangState Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University, Guangzhou, China.
C WangState Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University, Guangzhou, China.
Z WangState Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University, Guangzhou, China.
S ZonaDepartment of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK.
S-X LinState Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University, Guangzhou, China.
X WangState Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University, Guangzhou, China.
M YanState Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University, Guangzhou, China.
F-M ZhengDepartment of Medical Oncology, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
S-S LiState Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University, Guangzhou, China.
B XuDepartment of Laboratory Medicine, Guangzhou First People's Hospital, Guangzhou Medical College, Guangzhou, China.
L BellaDepartment of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK.
J-S YongDepartment of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK.
E W-F LamDepartment of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK.
Q LiuState Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University, Guangzhou, China.
Sun Yat-sen University Cancer Center · CNImperial College London · GBDalian Medical University · CNSun Yat-sen University · CNGuangzhou First People's Hospital · CN

Funding

Biotechnology and Biological Sciences Research Council BBS/B/03785Breast Cancer Now 2012MAYPR070Cancer Research UK 12011Cancer Research UK A12011
6 · The paper itself

Abstract

Substantial evidence suggests that breast cancer initiation, recurrence and drug resistance is supported by breast cancer stem cells (BCSCs). Recently, we reported a novel role of Aurora kinase A (AURKA) in BCSCs, as a transactivating co-factor in the induction of the c-Myc oncoprotein. However, the mode of action and transcriptional network of nuclear AURKA in BCSCs remain unknown. Here, we report that nuclear AURKA can be recruited by Forkhead box subclass M1 (FOXM1) as a co-factor to transactivate FOXM1 target genes in a kinase-independent manner. In addition, we show that AURKA and FOXM1 participate in a tightly coupled positive feedback loop to enhance BCSC phenotype. Indeed, kinase-dead AURKA can effectively transactivate the FOXM1 promoter through a Forkhead response element, whereas FOXM1 can activate AURKA expression at the transcriptional level in a similar manner. Consistently, breast cancer patient samples portrayed a strong and significant correlation between the expression levels of FOXM1 and AURKA. Moreover, both FOXM1 and AURKA were essential for maintaining the BCSC population. Finally, we demonstrated that the AURKA inhibitor AKI603 and FOXM1 inhibitor thiostrepton acted synergistically to inhibit cytoplasmic AURKA activity and disrupt the nuclear AURKA/FOXM1-positive feedback loop, respectively, resulting in a more effective inhibition of the tumorigenicity and self-renewal ability of BCSCs. Collectively, our study uncovers a previously unknown tightly coupled positive feedback signalling loop between AURKA and FOXM1, crucial for BCSC self-renewal. Remarkably, our data reveal a novel potential therapeutic strategy for targeting both the cytoplasmic and nuclear AURKA function to effectively eliminate BCSCs, so as to overcome both breast cancer and drug resistance.

Indexed as

Drug Resistance, NeoplasmAnimalsAurora Kinase ABreast NeoplasmsCell Line, TumorCell NucleusFeedback, PhysiologicalFemaleForkhead Box Protein M1Gene Expression Regulation, NeoplasticHumansMCF-7 CellsMiceNeoplastic Stem CellsPromoter Regions, GeneticAURKA protein, humanAurora Kinase AForkhead Box Protein M1FOXM1 protein, human

Identifiers

PMID28114286
PMCPMC5485180
OpenAlexW2580202267

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.