Evidence map›Paper›PMID 27861141›Full record

ArticleOncotarget2016

miR-1 inhibits progression of high-risk papillomavirus-associated human cervical cancer by targeting G6PD.

Tao Hu, Ye-Fei Chang, Zhangang Xiao, Rui Mao, Jun Tong, Bo Chen, Guang-Cai Liu, Ying Hong, Hong-Lan Chen, Shu-Yi Kong and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  5. MicroRNA-1: Diverse role of a small player in multiple cancers.Seminars in cell & developmental biology · 2022
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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

13 authors at 5 institutions in 1 country.

Tao HuDepartment of Laboratory Medicine, The Third People's Hospital of Yunnan Province, Kunming 650011, Yunnan, PR China.
Ye-Fei ChangDepartment of Laboratory Medicine, The Third People's Hospital of Yunnan Province, Kunming 650011, Yunnan, PR China.
Zhangang XiaoLaboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou 646000, Sichuan, PR China.
Rui MaoSchool of Stomatologya, Kunming Medicine University, Kunming 650500, Yunnan, PR China.
Jun TongPhysical Eduction Department, Kunming Medical University, Kunming 650500, Yunnan, PR China.
Bo ChenExperiment Center for Medical Science Research, Kunming Medical University, Chenggong District, Kunming 650500, Yunnan, PR China.
Guang-Cai LiuDepartment of Laboratory Medicine, The Third People's Hospital of Yunnan Province, Kunming 650011, Yunnan, PR China.
Ying HongDepartment of Laboratory Medicine, The Third People's Hospital of Yunnan Province, Kunming 650011, Yunnan, PR China.
Hong-Lan ChenDepartment of Laboratory Medicine, The Third People's Hospital of Yunnan Province, Kunming 650011, Yunnan, PR China.
Shu-Yi KongInstitute of Neuroscience, Kunming Medical University, Chenggong District, Kunming 650500, Yunnan, PR China.
Yan-Mei HuangDepartment of Laboratory Medicine, The Third People's Hospital of Yunnan Province, Kunming 650011, Yunnan, PR China.
Yan-Bin XiyangInstitute of Neuroscience, Kunming Medical University, Chenggong District, Kunming 650500, Yunnan, PR China.
Hua JinDepartment of Anesthesiology, The First People's Hospital of Yunnan Province, Kunming 650032, Yunnan, PR China.
Kunming Medical University · CNThird People's Hospital of Yunnan Province · CNChinese University of Hong Kong · CNFirst People's Hospital of Yunnan Province · CNKunming University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ectopic glucose-6-phosphate dehydrogenase (G6PD) expression may contribute to tumorigenesis in cervical cancer associated with high-risk human papillomavirus (HR-HPV 16 and 18) infections. Here, we demonstrate that microRNA-1 (miR-1) in association with AGO proteins targets G6PD in HR-HPV-infected human cervical cancer cells. miR-1 inhibited expression of a reporter construct containing a putative G6PD 3'-UTR seed region and suppressed endogenous G6PD expression. Down-regulation of miR-1 increased G6PD expression in cervical cancer cells. Regression analysis revealed that miR-1 levels correlate negatively with the clinicopathologic features in HR-HPV 16/18-infected cervical cancer patients. miR-1 overexpression inhibited proliferation and promoted apoptosis in cervical cancer cells and reduced xenograft tumor growth in nude mice. Conversely, sponge-mediated miR-1 knockdown markedly increased viability and reduced apoptosis in cervical cancer cells and supported neoplasm growth. Restoration of G6PD expression partially reversed the effects of miR-1 overexpression both in vitro and in vivo. In addition, co-transfection of G6PD siRNA and miR-1 sponge partially reversed miR-1 sponge-induced reductions in cell viability and neoplasm growth. These results suggest that miR-1 suppresses the development and progression of HR-HPV 16/18-infected cervical cancer by targeting G6PD and may be a promising novel therapeutic candidate.

Indexed as

AnimalsCell Line, TumorDisease ProgressionFemaleGlucosephosphate DehydrogenaseHuman papillomavirus 16Human papillomavirus 18HumansMiceMice, Inbred BALB CMicroRNAsRiskUterine Cervical NeoplasmsGlucosephosphate DehydrogenaseMicroRNAsMIRN1 microRNA, humancarcinogenic eventscervical cancerglucose-6-phosphate dehydrogenasehigh-risk human papillomavirusesmiR-1

Identifiers

PMID27861141
PMCPMC5349900
OpenAlexW2556961977

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.