Evidence map›Paper›PMID 32970954›Full record

ArticleBioengineered2020

MicroRNA (MiR)-301a-3p regulates the proliferation of esophageal squamous cells via targeting PTEN.

Nan Zhang, Jun Feng Liu

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  4. Mechanisms of resistance to trastuzumab in HER2-positive gastric cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 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

2 authors at 1 institution in 1 country.

Nan ZhangDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University , Shijiazhuang, China.
Jun Feng LiuDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University , Shijiazhuang, China.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human esophageal carcinoma (EC) is a common cancer, which leads to many deaths worldwide every year. Our study aimed to explore the mechanism of miR-301a-3p regulating the proliferation of esophageal squamous cell carcinoma (ESCC) cells. We had collected ESCC tissues and adjacent normal esophageal tissues from 47 patients. The relative levels of miR-301a-3p/U6 in ESCC tissues and cells were analyzed by real-time PCR. And we measured the relative protein levels of PTEN, BCL-2, BAX, and p-AKT/AKT by Western blot. Eca-109 cell proliferation was detected by MTT assay and colony formation. Compared with adjacent normal esophageal tissues, the relative level of miR-301a-3p/U6 was elevated in ESCC tissues. MiR-301a-3p could facilitate ESCC cell proliferation. And miR-301a-3p directly bind to PTEN 3'-UTR and negatively regulated PTEN protein expression. Moreover, silencing PTEN could reversed inhibited proliferation of Eca-109 cells induced by miR-301a-3p inhibitor, while overexpression PTEN could reversed enhanced proliferation of Eca-109 cells induced by miR-301a-3p mimic. Taken together, miR-301a-3p promoted ESCC cell proliferation by supressing PTEN.

Indexed as

Blotting, WesternCell Line, TumorCell ProliferationEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaGene Expression Regulation, NeoplasticHumansIn Vitro TechniquesMicroRNAsPTEN PhosphohydrolaseReal-Time Polymerase Chain ReactionMicroRNAsMIRN30a microRNA, humanPTEN PhosphohydrolaseBAXBCL-2esophageal squamous cell carcinomaMiR-301a-3pPTEN

Identifiers

PMID32970954
PMCPMC8291791
OpenAlexW3088251265

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.