Evidence map›Paper›PMID 35116921›Full record

ArticleTranslational cancer research2019

miR-21 facilitates the diagnostic value of miR-138 for papillary thyroid cancer in formalin-fixed paraffin-embedded tissues.

Li Wang, Yuanyuan Duan, Wen Peng, Caixing Qu, Jiang Lin, Zhaoqun Deng, Chao You, Chenguang Wu

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Li Wang *Endocrinology Department, Affiliated People's Hospital, Jiangsu University, Zhenjiang 212002, China.
Yuanyuan Duan *Endocrinology Department, Affiliated People's Hospital, Jiangsu University, Zhenjiang 212002, China.
Wen PengDepartment of Public Health, School of Medicine, Qinghai University, Xining 810001, China.
Caixing QuSurgical Department, Affiliated People's Hospital, Jiangsu University, Zhenjiang 212002, China.
Jiang LinCentral Lab, Affiliated People's Hospital, Jiangsu University, Zhenjiang 212002, China.
Zhaoqun DengCentral Lab, Affiliated People's Hospital, Jiangsu University, Zhenjiang 212002, China.
Chao YouDepartment of Radiology, Fudan University Cancer Center, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Chenguang Wu *Endocrinology Department, Affiliated People's Hospital, Jiangsu University, Zhenjiang 212002, China.
Affiliated Hospital of Jiangsu University · CNJiangsu University · CNQinghai University · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmiR-138 was thought to be anti-tumor miRNA for its ability of suppressing tumor growth. The objective of this study was to evaluate the potential predictive value of miR-138 and its combination with miR-21 in formalin-fixed paraffin-embedded (FFPE) tissues of papillary thyroid cancers (PTCs).

methodsmiR-138/miR-21 expression was tested in 101 PTC and 51 benign thyroid nodule (control) patients using quantitative real-time PCR. Clinical and pathological characteristics of enrolled subjects were obtained from medical records.

resultsmiR-138 was significantly down-regulated in PTC compared with controls (median 0.0122

conclusionsMiR-138 expression was not only associated with onset of PTC, but also the aggressiveness of PTC. A combination of miR-138 and miR-21 enhanced the diagnostic value of individual biomarkers.

Indexed as

Biomarkersformalin-fixed paraffin-embedded tissuemiR-138miR-21papillary thyroid cancer (PTC)

Identifiers

PMID35116921
PMCPMC8798326
OpenAlexW4247766916

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.