Evidence map›Paper›PMID 30962718›Full record

ArticleCancer management and research2019

Dongyang Li, Xuanyu Hao, Yudi Dong, Mo Zhang, Yongsheng Song

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Osteosarcoma in a ceRNET perspective.Journal of biomedical science · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

5 authors at 1 institution in 1 country.

Dongyang LiDepartment of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China, peterzhang623@sina.com; sys-urology@outlook.com.
Xuanyu HaoDepartment of Rheumatology and Immunology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China.
Yudi DongLaboratory of Experimental Oncology, Medical Research Center, Shengjing Hospital of China Medical University, Benxi, Liaoning, People's Republic of China.
Mo ZhangDepartment of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China, peterzhang623@sina.com; sys-urology@outlook.com.
Yongsheng SongDepartment of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China, peterzhang623@sina.com; sys-urology@outlook.com.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPF4V1 is a novel protein in inflammation, angiogenesis, and cancer. However, the pathogenesis, underlying mechanisms, and the prognostic value of PF4V1 in prostate cancer (PCa) are still unclear. MATERIALS AND

methodsThe PF4V1 expression and relation with survival were analyzed based on a large sample size in the Cancer Genome Atlas. In vitro, the overexpression of PF4V1 was conducted in DU145 and LNCaP cells. Cell Counting Kit-8, colony formation, wound healing, and Transwell

resultsThe expression of PF4V1 was significantly lower in 497 PCa samples than in 52 normal controls (

conclusionPF4V1 can suppress the proliferation, migration, and invasion of PCa cells by regulating AKT/ERK pathways and EMT. Elevated PF4V1/TP53 expression is correlated with poorer DFS and better OS in the patients with PCa. The miR-875-3p-PF4V1 axis may be a new therapeutic target site in PCa.

Indexed as

miR-875-3pPF4V1prostate cancersurvival

Identifiers

PMID30962718
PMCPMC6432891
OpenAlexW2925081174

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.