Evidence map›Paper›PMID 23877836›Full record

ArticleInternational journal of molecular sciences2013

Targeted silencing of MART-1 gene expression by RNA interference enhances the migration ability of uveal melanoma cells.

Yidan Zhang, Renbing Jia, Jing Wang, Xiaofang Xu, Yuting Yao, Shengfan Ge, Xianqun Fan

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. The role of Bax and Bcl-2 in gemcitabine-mediated cytotoxicity in uveal melanoma cells.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    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

7 authors at 2 institutions in 1 country.

Yidan ZhangDepartment of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China.
Renbing Jia
Jing Wang
Xiaofang Xu
Yuting Yao
Shengfan Ge
Xianqun Fan
Shanghai Ninth People's Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uveal melanoma (UM) is the most common primary intraocular malignancy and the leading potentially fatal primary intraocular disease in adults. Melanoma antigen recognized by T-cells (MART-1) has been studied extensively as a clinically important diagnostic marker for melanoma, however, its biological function remains unclear. In the present study, the UM cell line SP6.5, which showed a high level of MART-1 expression, was subjected to small interfering RNA-mediated silencing of MART-1. Silencing of MART-1 expression increased the migration ability of SP6.5 cells and down-regulated the expression of the metastasis suppressor NM23. Our results suggest that MART-1 is a candidate target for the development of therapeutic strategies for UM and in particular for the suppression of metastasis associated with this malignancy.

Indexed as

RNA InterferenceCell Cycle CheckpointsCell Line, TumorCell MovementCell ProliferationHumansMART-1 AntigenMelanomaNM23 Nucleoside Diphosphate KinasesRNA, MessengerRNA, Small InterferingTumor Suppressor ProteinsUbiquitin ThiolesteraseUveal MelanomaUveal NeoplasmsBAP1 protein, humanMART-1 AntigenNM23 Nucleoside Diphosphate KinasesNME1 protein, humanRNA, MessengerRNA, Small InterferingTumor Suppressor ProteinsUbiquitin Thiolesterase

Identifiers

PMID23877836
PMCPMC3742289
OpenAlexW1549808030

What OpenQuestion holds

Textmetadata
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.