Evidence map›Paper›PMID 36357378›Full record

ArticleCell death & disease2022

SR9009 inhibits lethal prostate cancer subtype 1 by regulating the LXRα/FOXM1 pathway independently of REV-ERBs.

Hang Xu, Jiapeng Zhang, Xiaonan Zheng, Ping Tan, Xingyu Xiong, Xianyanling Yi, Yang Yang, Yan Wang, Dazhou Liao, Hong Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. The Circadian Modulators as Molecular Targets in Cancer-A Review.International journal of molecular sciences · 2025
    Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. The Role of REV-ERB Receptors in Cancer Pathogenesis.International journal of molecular sciences · 2023
    Review
  16. 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

13 authors at 1 institution in 1 country.

Hang Xu *Department of Urology, West China Hospital, Sichuan University, 610041, Chengdu, China.
Jiapeng Zhang *Department of Urology, West China Hospital, Sichuan University, 610041, Chengdu, China.
Xiaonan Zheng *Department of Urology, West China Hospital, Sichuan University, 610041, Chengdu, China.
Ping TanDepartment of Urology, West China Hospital, Sichuan University, 610041, Chengdu, China.
Xingyu XiongDepartment of Urology, West China Hospital, Sichuan University, 610041, Chengdu, China.
Xianyanling YiDepartment of Urology, West China Hospital, Sichuan University, 610041, Chengdu, China.
Yang YangAnimal Experimental Center, West China Hospital, Sichuan University, 610041, Chengdu, China.
Yan WangResearch Core Facility, West China Hospital, Sichuan University, 610041, Chengdu, China.
Dazhou LiaoResearch Core Facility, West China Hospital, Sichuan University, 610041, Chengdu, China.
Hong LiDepartment of Urology, West China Hospital, Sichuan University, 610041, Chengdu, China.
Qiang WeiDepartment of Urology, West China Hospital, Sichuan University, 610041, Chengdu, China. weiqiang933@126.com.ORCID 0000-0003-3750-3042
Jianzhong AiDepartment of Urology, West China Hospital, Sichuan University, 610041, Chengdu, China. jianzhong.ai@scu.edu.cn.ORCID 0000-0003-0617-9286
Lu YangDepartment of Urology, West China Hospital, Sichuan University, 610041, Chengdu, China. wycleflue@163.com.ORCID 0000-0002-3955-150X
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perturbations of the circadian clock are linked to multiple diseases, including cancers. Pharmacological activation of REV-ERB nuclear receptors, the core components of the circadian clock, has antitumor effects on various malignancies, while the impact of SR9009 on prostate cancer (PCa) remains unknown. Here, we found that SR9009 was specifically lethal to PCa cell lines but had no cytotoxic effect on prostate cells. SR9009 significantly inhibited colony formation, the cell cycle, and cell migration and promoted apoptosis in PCa cells. SR9009 treatment markedly inhibited prostate cancer subtype 1 (PCS1), the most lethal and aggressive PCa subtype, through FOXM1 pathway blockade, while it had no impacts on PCS2 and PCS3. Seven representative genes, including FOXM1, CENPA, CENPF, CDK1, CCNB1, CCNB2, and BIRC5, were identified as the shared genes involved in the FOXM1 pathway and PCS1. All of these genes were upregulated in PCa tissues, associated with worse clinicopathological outcomes and downregulated after SR9009 treatment. Nevertheless, knockdown or knockout of REV-ERB could not rescue the anticancer effect of SR9009 in PCa. Further analysis confirmed that it was LXRα rather than REV-ERBs which has been activated by SR9009. The expression levels of these seven genes were changed correspondingly after LXRα knockdown and SR9009 treatment. An in vivo study validated that SR9009 restrained tumor growth in 22RV1 xenograft models and inhibited FOXM1 and its targeted gene expression. In summary, SR9009 can serve as an effective treatment option for highly aggressive and lethal PCS1 tumors through mediating the LXRα/FOXM1 pathway independently of REV-ERBs.

Indexed as

Nuclear Receptor Subfamily 1, Group D, Member 1Prostatic NeoplasmsAnimalsForkhead Box Protein M1HumansMaleMiceMice, Inbred C57BLPyrrolidinesThiophenesForkhead Box Protein M1FOXM1 protein, humanNuclear Receptor Subfamily 1, Group D, Member 1PyrrolidinesSR9009Thiophenes

Identifiers

PMID36357378
PMCPMC9649669
OpenAlexW4309245467

What OpenQuestion holds

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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.