Evidence map›Paper›PMID 31234917›Full record

ArticleJournal of experimental & clinical cancer research : CR2019

ASC-J9® increases the bladder cancer chemotherapy efficacy via altering the androgen receptor (AR) and NF-κB survival signals.

Chi-Ping Huang, Jinbo Chen, Chi-Cheng Chen, Guodong Liu, Yong Zhang, Edward Messing, Shuyuan Yeh, Chawnshang Chang

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. The androgen receptor in bladder cancer.Nature reviews. Urology · 2023
    Review
  6. Review
  7. AR Structural Variants and Prostate Cancer.Advances in experimental medicine and biology · 2022
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. 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

8 authors at 5 institutions in 3 countries.

Chi-Ping HuangSex Hormone Research Center and Department of Urology, China Medical University/Hospital, Taichung, 404, Taiwan.
Jinbo ChenDepartment of Urology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Chi-Cheng ChenSex Hormone Research Center and Department of Urology, China Medical University/Hospital, Taichung, 404, Taiwan.
Guodong LiuGeorge Whipple Lab for Cancer Research, Departments of Pathology, Urology, Radiation Oncology and The Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA.
Yong ZhangDepartment of Urology, the Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China.
Edward MessingGeorge Whipple Lab for Cancer Research, Departments of Pathology, Urology, Radiation Oncology and The Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA.
Shuyuan YehGeorge Whipple Lab for Cancer Research, Departments of Pathology, Urology, Radiation Oncology and The Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA.
Chawnshang ChangSex Hormone Research Center and Department of Urology, China Medical University/Hospital, Taichung, 404, Taiwan. chang@urmc.rochester.edu.
University of Rochester Medical Center · USBuddhist Tzu Chi Medical Foundation · USCentral South University · CNChina Medical University Hospital · TWSecond Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current chemotherapy regimens may extend survival for patients with metastatic bladder cancer (BCa) for a few months, but eventually most patients succumb to disease because they develop resistance to their chemotherapy.

methodsTCGA human clinical sample survey and urothelial tumor tissue microarrays (TMAs) were applied to investigate the expression of androgen receptor (AR) and NF-κB. Multiple BCa cell lines were used to test chemotherapy's efficacy via multiple assays including XTT, flow cytometry, TUNEL, and BrdU incorporation. The effects of the AR degradation enhancer, ASC-J9®, combined with various chemotherapy reagents were examined both in vivo and in vitro.

resultsWe unexpectedly found that in muscle-invasive BCa (miBCa) the signals of both the AR and NF-κB were increased via a TCGA sample survey. Results from multiple approaches revealed that targeting these two increased signals by combining various chemotherapeutic agents, including Cisplatin, Doxorubicin or Mitomycin C, with ASC-J9® led to increase the therapeutic efficacy. The combined therapy increases the expression of the pro-apoptosis BAX gene and cell cycle inhibitor p21 gene, yet suppresses the expression of the pro-survival BCL2 gene in miBCa cells. Preclinical studies using an in vivo mouse model with xenografted miBCa cells confirmed in vitro cell line data showing that treatment with ASC-J9® combined with Cisplatin can result in suppressing miBCa progression better than Cisplatin alone.

conclusionsTogether, these results support a novel therapeutic approach via combining Cisplatin with ASC-J9® to better suppress the progression of miBCa.

Indexed as

AnimalsAntineoplastic Combined Chemotherapy ProtocolsApoptosisCell Line, TumorCell ProliferationCisplatinCurcuminDoxorubicinHumansMaleMiceMice, Inbred BALB CMice, NudeMitomycinNF-kappa BReceptors, AndrogenAR protein, humanASC-J9 compoundCisplatinCurcuminDoxorubicinMitomycinNF-kappa BReceptors, AndrogenAndrogen receptorASC-J9®Bladder cancerCisplatinNF-κB

Identifiers

PMID31234917
PMCPMC6592003
OpenAlexW2952560670

What OpenQuestion holds

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LicenceCC BY
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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.