Evidence map›Paper›PMID 35859793›Full record

ArticleOpen medicine (Warsaw, Poland)2022

Overexpression of miR-100-5p inhibits papillary thyroid cancer progression via targeting FZD8.

Peng Ma, Jianli Han

Open access · goldAbstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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  6. Unleashing Wnts: Wnt Ligands Fuel Cancer Spread.Journal of cancer biology · 2025
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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.

Peng MaDepartment of Thyroid Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, Shanxi Province, P.R. China.
Jianli HanDepartment of Thyroid Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99 Longcheng Street, Taiyuan 030032, Shanxi Province, P.R. China.
Shanxi Academy of Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Papillary thyroid cancer (PTC) is the most prevalent type of TC worldwide; however, its pathological process remains unclear at the molecular level. In the current study, we analyzed the microarray data of PTC tissues and non-neoplastic thyroid tissues, and confirmed miR-100-5p as a downregulated miRNA in PTC. Via bioinformatic approach, western blotting, and TOP/FOP-flash assay, miR-100-5p was observed to be involved in the inactivation of Wnt/β-catenin signaling in TPC-1 and KTC-1. Frizzled Class Receptor 8 (FZD8), the coupled receptor for canonical Wnt/β-catenin signaling, was verified to be targeted and inhibited by miR-100-5p in TPC-1 and KTC-1. In the function assay, miR-100-5p mimic repressed PTC cell proliferation and induced cell apoptosis of TPC-1 and KTC-1; meanwhile, transfection of full-length FZD8 attenuated the effect of miR-100-5p mimic. Moreover, in the collected samples, miR-100-5p was lowly expressed in PTC tissues compared with normal tissues, especially in those of advanced stage (Stage III/IV vs Stage I/II), while FZD8 was highly expressed in PTC tissues, which in PTC tissues was inversely correlated to miR-100-5p. Thus, we suggest that overexpression of miR-100-5p inhibits the development of PTC by targeting FZD8.

Indexed as

cell apoptosiscell proliferationFrizzled Class Receptor 8miR-100-5ppapillary thyroid cancer

Identifiers

PMID35859793
PMCPMC9263890
OpenAlexW4285193618

What OpenQuestion holds

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Registered trials

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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.