Evidence map›Paper›PMID 31678733›Full record

ArticleMolecular therapy. Nucleic acids2019

miR-204-5p Represses Bone Metastasis via Inactivating NF-κB Signaling in Prostate Cancer.

Qingde Wa, Sheng Huang, Jincheng Pan, Yubo Tang, Shaofu He, Xiaodong Fu, Xinsheng Peng, Xiao Chen, Chunxiao Yang, Dong Ren and 4 more

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
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  13. Versatile function of NF-ĸB in inflammation and cancer.Experimental hematology & oncology · 2024
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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 6 institutions in 2 countries.

Qingde WaDepartment of Orthopaedic Surgery, The Affiliated Hospital of Zunyi Medical College, 563003 Zunyi, China.
Sheng HuangDepartment of Orthopaedic Surgery, The Affiliated Hospital of Nanchang University, 563003 Zunyi, China.
Jincheng PanDepartment of Urology Surgery, The First Affiliated Hospital of Sun Yat-sen University, 510080 Guangzhou, China.
Yubo TangDepartment of Pharmacy, The First Affiliated Hospital of Sun Yat-Sen University, 510080 Guangzhou, China.
Shaofu HeDepartment of Radiology, The First Affiliated Hospital of Sun Yat-sen University, 510080 Guangzhou, China.
Xiaodong FuSchool of Basic Sciences, Guangzhou Medical University, Guangzhou, 510182 Guangzhou, China.
Xinsheng PengDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Sun Yat-sen University, 510080 Guangzhou, China.
Xiao ChenDepartment of Pharmacy, The First Affiliated Hospital of Sun Yat-Sen University, 510080 Guangzhou, China.
Chunxiao YangDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Dong RenDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Sun Yat-sen University, 510080 Guangzhou, China.
Yan HuangDepartment of Orthopaedic Surgery, the Second Affiliated Hospital of Guangzhou Medical University, 510260 Guangzhou, China.
Zhuangwen LiaoDepartment of Orthopaedic Surgery, the Second Affiliated Hospital of Guangzhou Medical University, 510260 Guangzhou, China.
Shuai HuangDepartment of Orthopaedic Surgery, the Second Affiliated Hospital of Guangzhou Medical University, 510260 Guangzhou, China. Electronic address: huang-shuai@hotmail.com.
Changye ZouDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Sun Yat-sen University, 510080 Guangzhou, China. Electronic address: zouchy@sysu.edu.cn.
The First Affiliated Hospital, Sun Yat-sen University · CNSecond Affiliated Hospital of Guangzhou Medical University · CNAffiliated Hospital of Zunyi Medical College · CNGuangzhou Medical University · CNHarvard University · USNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prime issue derived from prostate cancer (PCa) is its high prevalence to metastasize to bone. MicroRNA-204-5p (miR-204-5p) has been reported to be involved in the development and metastasis in a variety of cancers. However, the clinical significance and biological functions of miR-204-5p in bone metastasis of PCa are still not reported yet. In this study, we find that miR-204-5p expression is reduced in PCa tissues and serum sample with bone metastasis compared with that in PCa tissues and serum sample without bone metastasis, which is associated with advanced clinicopathological characteristics and poor bone metastasis-free survival in PCa patients. Moreover, upregulation of miR-204-5p inhibits the migration and invasion of PCa cells in vitro, and importantly, upregulating miR-204-5p represses bone metastasis of PCa cells in vivo. Our results further demonstrated that miR-204-5p suppresses invasion, migration, and bone metastasis of PCa cells via inactivating nuclear factor κB (NF-κB) signaling by simultaneously targeting TRAF1, TAB3, and MAP3K3. In clinical PCa samples, miR-204-5p expression negatively correlates with TRAF1, TAB3, and MAP3K3 expression and NF-κB signaling activity. Therefore, our findings reveal a new mechanism underpinning the bone metastasis of PCa, as well as provide evidence that miR-204-5p might serve as a novel serum biomarker in bone metastasis of PCa. This study identifies a novel functional role of miR-204-5p in bone metastasis of prostate cancer and supports the potential clinical value of miR-204-5p as a serum biomarker in bone metastasis of PCa.

Identifiers

PMID31678733
PMCPMC6838892
OpenAlexW2973602287

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.