Evidence map›Paper›PMID 25135278›Full record

ArticleMolecular oncology2015

Infiltrating T cells promote prostate cancer metastasis via modulation of FGF11→miRNA-541→androgen receptor (AR)→MMP9 signaling.

Shuai Hu, Lei Li, Shuyuan Yeh, Yun Cui, Xin Li, Hong-Chiang Chang, Jie Jin, Chawnshang Chang

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Molecular oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

48 citing papers in PubMed, 88 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Shuai HuDepartment of Urology, Peking University First Hospital, Beijing, China; George Whipple Lab for Cancer Research, Departments of Pathology, Urology, Radiation Oncology, and The Wilmot Cancer Center, University of Rochester Medical Center, Rochester, NY, USA.
Lei LiGeorge Whipple Lab for Cancer Research, Departments of Pathology, Urology, Radiation Oncology, and The Wilmot Cancer Center, 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 Center, University of Rochester Medical Center, Rochester, NY, USA.
Yun CuiDepartment of Urology, Peking University First Hospital, Beijing, China.
Xin LiDepartment of Urology, Peking University First Hospital, Beijing, China.
Hong-Chiang ChangGeorge Whipple Lab for Cancer Research, Departments of Pathology, Urology, Radiation Oncology, and The Wilmot Cancer Center, University of Rochester Medical Center, Rochester, NY, USA.
Jie JinDepartment of Urology, Peking University First Hospital, Beijing, China. Electronic address: jinjie@vip.163.com.
Chawnshang ChangGeorge Whipple Lab for Cancer Research, Departments of Pathology, Urology, Radiation Oncology, and The Wilmot Cancer Center, University of Rochester Medical Center, Rochester, NY, USA; Sex Hormone Research Center, China Medical University/Hospital, Taichung, Taiwan. Electronic address: chang@urmc.rochester.edu.
University of Rochester Medical Center · USPeking University · CNPeking University First Hospital · CNChina Medical University · TW

Funding

Non-AR mediated DHT-promoted Bladder Cancer initiation and progressionR01CA155477 · NCI · UNIVERSITY OF ROCHESTER · PI CHANG, CHAWNSHANG · 2011 to 2015
$1.6M
Stromal AR Roles in Prostate Hyperplasia and CancerR01CA156700 · NCI · UNIVERSITY OF ROCHESTER · PI CHANG, CHAWNSHANG, YEH, SHUYUAN · 2011 to 2015
$1.6M
NCI NIH HHS CA155477NCI NIH HHS CA156700NCI NIH HHS R01 CA155477NCI NIH HHS R01 CA156700
6 · The paper itself

Abstract

Early clinical studies suggested infiltrating T cells might be associated with poor outcomes in prostate cancer (PCa) patients. The detailed mechanisms how T cells contribute to PCa progression, however, remained unclear. Here, we found PCa cells have a better capacity to recruit more CD4(+) T cells than the surrounding normal prostate cells via secreting more chemokines-CXCL9. The consequences of more recruited CD4(+) T cells to PCa might then lead to enhance PCa cell invasion. Mechanism dissection revealed that infiltrating CD4(+) T cells might function through the modulation of FGF11→miRNA-541 signals to suppress PCa androgen receptor (AR) signals. The suppressed AR signals might then alter the MMP9 signals to promote the PCa cell invasion. Importantly, suppressed AR signals via AR-siRNA or anti-androgen Enzalutamide in PCa cells also enhanced the recruitment of T cells and the consequences of this positive feed back regulation could then enhance the PCa cell invasion. Targeting these newly identified signals via FGF11-siRNA, miRNA-541 inhibitor or MMP9 inhibitor all led to partially reverse the enhanced PCa cell invasion. Results from in vivo mouse models also confirmed the in vitro cell lines in co-culture studies. Together, these results concluded that infiltrating CD4(+) T cells could promote PCa metastasis via modulation of FGF11→miRNA-541→AR→MMP9 signaling. Targeting these newly identified signals may provide us a new potential therapeutic approach to better battle PCa metastasis.

Indexed as

Signal TransductionAgedAnimalsCD4-Positive T-LymphocytesCell Line, TumorCell MovementFibroblast Growth FactorsHumansMaleMatrix Metalloproteinase 9MiceMice, NudeMicroRNAsMiddle AgedNeoplasm MetastasisNeoplasm ProteinsAR protein, humanFibroblast Growth FactorsMatrix Metalloproteinase 9MicroRNAsMIRN541 microRNA, humanMMP9 protein, humanNeoplasm ProteinsReceptors, AndrogenRNA, NeoplasmAndrogen receptorProstate cancerT cellsTumor metastasisTumor microenvironment

Identifiers

PMID25135278
PMCPMC4277919
OpenAlexW1987939948

What OpenQuestion holds

Textmetadata
LicenceTDM
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.