Evidence map›Paper›PMID 30022565›Full record

ArticleCancer science2018

Altered editing level of microRNAs is a potential biomarker in lung adenocarcinoma.

Keita Maemura, Kousuke Watanabe, Takahiro Ando, Noriko Hiyama, Toshio Sakatani, Yosuke Amano, Hidenori Kage, Jun Nakajima, Yutaka Yatomi, Takahide Nagase and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

32 citing papers in PubMed, 57 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

11 authors at 2 institutions in 1 country.

Keita MaemuraDepartment of Respiratory Medicine, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0002-0702-9354
Kousuke WatanabeDepartment of Respiratory Medicine, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Takahiro AndoDepartment of Respiratory Medicine, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Noriko HiyamaDepartment of Thoracic Surgery, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Toshio SakataniDepartment of Respiratory Medicine, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Yosuke AmanoDepartment of Respiratory Medicine, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Hidenori KageDepartment of Respiratory Medicine, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Jun NakajimaDepartment of Thoracic Surgery, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Yutaka YatomiDepartment of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan.
Takahide NagaseDepartment of Respiratory Medicine, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Daiya TakaiDepartment of Clinical Laboratory, The University of Tokyo Hospital, Tokyo, Japan.
University of Tokyo Hospital · JPJapan Graduate School of Education University · JP

Funding

JSPS KAKENHI 15K18440JSPS KAKENHI 15K20917JSPS KAKENHI 16H02653JSPS KAKENHI 16K09574Ministry of Education, Culture, Sports, Science and Technology of Japan
6 · The paper itself

Abstract

Adenosine-to-inosine (A-to-I) microRNA editing is associated with tumor phenotypes in various cancer types. Recent analyses of The Cancer Genome Atlas (TCGA) dataset have shown several microRNAs that undergo A-to-I editing in human cancers, some of which have been reported to be associated with prognosis. Herein, we examined published small RNA deep sequencing data of 74 cases of lung adenocarcinoma (AD) and the corresponding normal counterpart (NC) specimen in silico in order to identify A-to-I microRNA editing events. Editing levels of miR-379-5p, miR-99a-5p, and miR-497-5p were lower in AD than in NC and, in a large number of cases, the editing level of miR-200b-3p was higher in AD than in NC. Difference in the editing level between AD and NC was largest for miR-99a-5p. Then, we examined the editing level of miR-99a-5p in 50 surgically resected lung adenocarcinoma cases at our institution by a conventional sequence-based method, and its association with clinical outcomes. The editing level of miR-99a-5p was significantly lower in 19 cases of AD (38%) than in corresponding NC. These cases showed a shorter overall survival as assessed using the log-rank test (P = .047). This trend was consistent with previous analyses of TCGA dataset. The altered editing level of microRNAs in lung adenocarcinoma could serve as a potential biomarker.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaAdenocarcinoma of LungBiomarkers, TumorFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansLungLung NeoplasmsMaleMicroRNAsPrognosisRNA EditingSequence Analysis, RNASurvival AnalysisBiomarkers, TumorMicroRNAsbiomarkercomputational biologylung adenocarcinomamicroRNARNA editing

Identifiers

PMID30022565
PMCPMC6172074
OpenAlexW2883922109

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.