Evidence map›Paper›PMID 31645091›Full record

ArticleJournal of pathology and translational medicine2019

MicroRNA-374a Expression as a Prognostic Biomarker in Lung Adenocarcinoma.

Yeseul Kim, Jongmin Sim, Hyunsung Kim, Seong Sik Bang, Seungyun Jee, Sungeon Park, Kiseok Jang

Abstract read
In one paragraph

Article in Journal of pathology and translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yeseul KimDepartment of Pathology, Hanyang University College of Medicine, Seoul, Korea.
Jongmin SimDepartment of Pathology, Samsung Medical Center, Seoul, Korea.
Hyunsung KimDepartment of Pathology, Hanyang University College of Medicine, Seoul, Korea.
Seong Sik BangDepartment of Pathology, Hanyang University College of Medicine, Seoul, Korea.
Seungyun JeeDepartment of Pathology, Hanyang University College of Medicine, Seoul, Korea.
Sungeon ParkDepartment of Pathology, Hanyang University College of Medicine, Seoul, Korea.
Kiseok JangDepartment of Pathology, Hanyang University College of Medicine, Seoul, Korea.

Funding

Ministry of EducationMinistry of Science, ICT and Future PlanningNational Research Foundation of Korea 2015R1C1A1A01056091,2018R1D1A1B07048798
6 · The paper itself

Abstract

backgroundLung cancer is the most common cause of cancer-related death, and adenocarcinoma is the most common histologic subtype. MicroRNA is a small non-coding RNA that inhibits multiple target gene expression at the post-transcriptional level and is commonly dysregulated in malignant tumors. The purpose of this study was to analyze the expression of microRNA-374a (miR-374a) in lung adenocarcinoma and correlate its expression with various clinicopathological characteristics.

methodsThe expression level of miR-374a was measured in 111 formalin-fixed paraffin-embedded lung adenocarcinoma tissues using reverse transcription-quantitative polymerase chain reaction assays. The correlation between miR-374a expression and clinicopathological parameters, including clinical outcome, was further analyzed.

resultsHigh miR-374 expression was correlated with advanced pT category (chi-square test, p=.004) and pleural invasion (chi-square test, p=.034). Survival analysis revealed that patients with high miR-374a expression had significantly shorter disease-free survival relative to those with low miR-374a expression (log-rank test, p=.032).

conclusionsmiR-374a expression may serve as a potential prognostic biomarker for predicting recurrence in early stage lung adenocarcinoma after curative surgery.

Indexed as

AdenocarcinomaLung neoplasmsMicroRNAsRecurrenceStage

Identifiers

PMID31645091
PMCPMC6877434

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