Evidence map›Paper›PMID 28123855›Full record

ArticleAmerican journal of cancer research2017

microRNA-454 shows anti-angiogenic and anti-metastatic activity in pancreatic ductal adenocarcinoma by targeting LRP6.

Yue Fan, Chenye Shi, Tianyu Li, Tiantao Kuang

RetractedOpen access · greenAbstract readRetracted Publication
In one paragraph

Article in American journal of cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 41 citations in OpenAlex.

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  20. MicroRNAs as Immunotherapy Targets for Treating Gastroenterological Cancers.Canadian journal of gastroenterology & hepatology · 2018
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Yue FanDepartment of Integrated TCM & Western Medicine, Zhongshan Hospital, Fudan University Shanghai 200032, China.
Chenye ShiDepartment of General Surgery, Zhongshan Hospital, Fudan University Shanghai 200032, China.
Tianyu LiDepartment of Integrated TCM & Western Medicine, Zhongshan Hospital, Fudan University Shanghai 200032, China.
Tiantao KuangDepartment of General Surgery, Zhongshan Hospital, Fudan University Shanghai 200032, China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our previous work has shown that microRNA-454 (miR-454) can inhibit the growth of pancreatic ductal adenocarcinoma (PDAC) by blocking the recruitment of bone marrow-derived macrophages. In the present study, we aimed to explore its role in the proliferation, invasion, and pro-angiogenic activity of PDAC cells in vitro and lung metastasis in vivo. PANC-1 and MiaPaCa-2 cells were transfected with a miR-454-expressing plasmid and tested for cell proliferation, colony formation, cell cycle distribution, invasion, and pro-angiogenic activity. The target gene(s) that mediated the action of miR-454 was identified. The effect of miR-454 overexpression on lung metastasis of PDAC was evaluated in nude mice. Of note, overexpression of miR-454 significantly inhibited PDAC cell proliferation and colony formation and arrests PDAC cells at the G2/M phase. Decreased invasiveness was observed in miR-454-overexpressing PDAC cells. Conditioned media from miR-454-overexpressing PANC-1 cells contained lower levels of vascular endothelial growth factor and had reduced capacity to induce endothelial cell tube-like structure formation. Mechanistically, miR-454 was found to target the mRNA of

Indexed as

AngiogenesisgrowthLRP6metastasismicroRNA-454pancreatic cancer

Identifiers

PMID28123855
PMCPMC5250688
OpenAlexW2580495723

What OpenQuestion holds

Textmetadata
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.