Evidence map›Paper›PMID 33332677›Full record

ReviewCell proliferation2021

Essential functions of miR-125b in cancer.

Boya Peng, Poh Ying Theng, Minh T N Le

Abstract readReview
In one paragraph

Review in Cell proliferation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–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

51 citing papers in PubMed.

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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.

Boya PengDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-9956-0889
Poh Ying ThengDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Minh T N LeDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-6077-1566

Funding

Hong Kong Health and Medical Research Fund 06172196Hong Kong Innovation and Technology Commission ITS/201/18National Natural Science Foundation of China 81602514National Natural Science Foundation of China 81773246National Natural Science Foundation of China 81972865National University of Singapore R-184-000-295-133National University of Singapore R-184-000-295-733Shenzhen Innovation and Technology Fund JCYJ20180507181636165
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small and highly conserved non-coding RNAs that silence target mRNAs, and compelling evidence suggests that they play an essential role in the pathogenesis of human diseases, especially cancer. miR-125b, which is the mammalian orthologue of the first discovered miRNA lin-4 in Caenorhabditis elegans, is one of the most important miRNAs that regulate various physiological and pathological processes. The role of miR-125b in many types of cancer has been well established, and so here we review the current knowledge of how miR-125b is deregulated in different types of cancer; its oncogenic and/or tumour-suppressive roles in tumourigenesis and cancer progression; and its regulation with regard to treatment response, all of which are underlined in multiple studies. The emerging information that elucidates the essential functions of miR-125b might help support its potentiality as a diagnostic and prognostic biomarker as well as an effective therapeutic tool against cancer.

Indexed as

ApoptosisDrug Resistance, NeoplasmGlycolysisHistonesHumansMicroRNAsNeoplasm MetastasisNeoplasmsRNA, Long NoncodingSignal TransductionHistonesMicroRNAsMIRN125 microRNA, humanRNA, Long NoncodingbiomarkercancerchemoresistancemicroRNAmiR-125b

Identifiers

PMID33332677
PMCPMC7848968

What OpenQuestion holds

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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.