Evidence map›Paper›PMID 37746648›Full record

ArticleWorld journal of gastrointestinal oncology2023

MicroRNA-363-3p inhibits colorectal cancer progression by targeting interferon-induced transmembrane protein 1.

Yun Wang, Shao-Kai Bai, Tao Zhang, Cheng-Gong Liao

Abstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

4 authors.

Yun WangDepartment of Oncology, Tangdu Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China.
Shao-Kai BaiDepartment of Oncology, Tangdu Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China.
Tao ZhangDepartment of Oncology, Tangdu Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China.
Cheng-Gong LiaoDepartment of Oncology, Tangdu Hospital, Air Force Medical University, Xi'an 710038, Shaanxi Province, China. liaochenggong@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe molecular mechanisms of colorectal cancer development and progression are far from being elucidated.

aimTo investigate the role of microRNA-363-3p (miR-363-3p) in the progression of colorectal cancer.

methodsReal-time polymerase chain reaction was performed to detect miRNA expression in human colorectal cancer tissues and paired normal colorectal tissues. PITA 6 was utilized to predict the targets of miR-363-3p. Dual-luciferase reporter system was used to validate the target of miR-363-3p. Plate colony formation assay and wound-healing assay were performed to evaluate cancer cells' clonogenic survival ability and migration ability, respectively. Cell proliferation was examined by cell counting kit-8 assay. Immunohistochemical staining was used to determine the expression level of interferon-induced transmembrane protein 1 (IFITM1) in colorectal cancer tissues and adjacent tissues. The TCGA and GTEx databases were used to compare the expression levels of

resultsMiR-363-3p was decreased in colorectal cancer tissues compared to normal colorectal tissues. IFITM1 was characterized as a direct target of miR-363-3p. Overexpression of miR-363-3p led to decreased clonogenic survival, proliferation, and migration of colorectal cancer cells, which could be reversed by forced IFITM1 expression.

conclusionMiR-363-3p can constrain clonogenic survival, proliferation, and migration of colorectal cancer cells

Indexed as

Clonogenic survivalColorectal cancerInterferon-induced transmembrane protein 1MicroRNA-363-3pProliferation

Identifiers

PMID37746648
PMCPMC10514722

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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.