Evidence map›Paper›PMID 29328457›Full record

ArticleMolecular medicine reports2018

MicroRNA‑34a inhibits liver cancer cell growth by reprogramming glucose metabolism.

Hai-Feng Zhang, Yi-Cheng Wang, Yi-Di Han

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

36 citing papers in PubMed, 48 citations in OpenAlex.

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  17. Reference Genes for qPCR-Based miRNA Expression Profiling in 14 Human Tissues.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 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

3 authors at 1 institution in 1 country.

Hai-Feng Zhang *Department of Hepatology, Qingdao No. 6 People's Hospital, Qingdao, Shandong 266033, P.R. China.
Yi-Cheng Wang *Department of Hepatology, Qingdao No. 6 People's Hospital, Qingdao, Shandong 266033, P.R. China.
Yi-Di HanDepartment of Hepatology, Qingdao No. 6 People's Hospital, Qingdao, Shandong 266033, P.R. China.
Qingdao Eighth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRs) have been proposed as minimally invasive prognostic markers for various types of cancer, including liver cancer, which is one of the most common cancers worldwide. In the present study, the expression of miR‑34a in human liver cancer tissues and cell lines was evaluated and the effects of miR‑34a on cell proliferation, invasion and glycolysis in hepatocellular carcinoma (HCC) cells were determined. The results indicated that miR‑34a was downregulated in human liver cancer tissues. Overexpression of miR‑34a significantly inhibited liver cancer cell proliferation and clone formation. In terms of the underlying mechanism, miR‑34a was indicated to negatively regulate the expression of lactate dehydrogenase A (LDHA), which consequently inhibited LDHA‑dependent glucose uptake in the cancer cells, as well as cell proliferation and invasion. Collectively, these data suggest that miR‑34a functions as a negative regulator of glucose metabolism and may serve as a novel marker for liver cancer prognosis.

Indexed as

AdultAgedAntagomirsCarcinoma, HepatocellularCell Line, TumorCell MovementCell ProliferationDown-RegulationFemaleGlucoseGlycolysisHep G2 CellsHumansIsoenzymesLactate Dehydrogenase 5Liver NeoplasmsAntagomirsGlucoseIsoenzymesLactate Dehydrogenase 5L-Lactate DehydrogenaseMicroRNAsMIRN34 microRNA, humanglucose metabolismliver cancermicrRNA-34a

Identifiers

PMID29328457
PMCPMC5802224
OpenAlexW2782733920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.