Evidence map›Paper›PMID 31814885›Full record

ReviewAmerican journal of translational research2019

MiR-145: a potential biomarker of cancer migration and invasion.

Wen-Xiu Xu, Zhen Liu, Fei Deng, Dan-Dan Wang, Xing-Wang Li, Tian Tian, Jian Zhang, Jin-Hai Tang

Abstract readReview
In one paragraph

Review in American journal of translational research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
–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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Wen-Xiu XuDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University Nanjing 210029, P. R. China.
Zhen LiuDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University Nanjing 210029, P. R. China.
Fei DengDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University Nanjing 210029, P. R. China.
Dan-Dan WangDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University Nanjing 210029, P. R. China.
Xing-Wang LiSchool of Clinical Medicine, Xuzhou Medical University 209 Tongshan Road, Xuzhou 221004, P. R. China.
Tian TianSchool of Clinical Medicine, Xuzhou Medical University 209 Tongshan Road, Xuzhou 221004, P. R. China.
Jian ZhangDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University Nanjing 210029, P. R. China.
Jin-Hai TangDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University Nanjing 210029, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MircoRNAs (miRNAs) are a diverse family of highly-conserved small non-coding RNAs, which range from approximately 18 to 25 nucleotides in size. They regulate gene expression transcriptionally or post-transcriptionally via binding to the 3'-untranslated region (3'-UTR) of target message RNAs (mRNAs). MiRNAs have emerged as molecular regulators that participate in physiological and pathological processes of diverse malignancies. Among them, miRNA-145 (miR-145) played a profound role in tumorigenesis and progression of various neoplasms. In this review, we summarized the recent findings regarding miR-145, to elucidate its functional roles in cell invasion and migration of diverse human malignancies, and considered it a potential biomarker for cancer diagnosis, screening, and prognosis.

Indexed as

biomarkercancersinvasion and migrationMiR-145

Identifiers

PMID31814885
PMCPMC6895535

What OpenQuestion holds

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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.