Evidence map›Paper›PMID 33362860›Full record

ArticleFrontiers in genetics2020

Identification of Potential Long Non-coding RNA Expression Quantitative Trait Methylations in Lung Adenocarcinoma and Lung Squamous Carcinoma.

Xiaohong Wu, Yue Gao, Jianlong Bu, Lin Deng, Pinyi Zhang, Meng Chi, Lihua Jiang, Xiaoding Shi, Shangwei Ning, Guonian Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 7 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

10 authors at 2 institutions in 1 country.

Xiaohong WuDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, China.
Yue GaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jianlong BuDepartment of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Lin DengDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, China.
Pinyi ZhangDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, China.
Meng ChiDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, China.
Lihua JiangDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, China.
Xiaoding ShiDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, China.
Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Guonian WangDepartment of Anesthesiology, Harbin Medical University Cancer Hospital, Harbin, China.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are associations between DNA methylation and the expression of long non-coding RNA (lncRNA), also known as lncRNA expression quantitative trait methylations (lnc-eQTMs). Lnc-eQTMs may induce a wide range of carcinogenesis pathways. However, lnc-eQTMs have not been globally identified and studied, and their roles in lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC) are largely unknown. In the present study, we identified some differential methylation sites located in genes of long intergenic non-coding RNAs (lincRNAs) and other types of lncRNAs in LUAD and LUSC. An integrated pipeline was established to construct two global cancer-specific regulatory networks of lnc-eQTMs in LUAD and LUSC. The associations between eQTMs showed common and specific features between LUAD and LUSC. Some lnc-eQTMs were also related with survival in LUAD- and LUSC-specific regulatory networks. Lnc-eQTMs were associated with cancer-related functions, such as lung epithelium development and vasculogenesis by functional analysis. Drug repurposing analysis revealed that these lnc-eQTMs may mediate the effects of some anesthesia-related drugs in LUAD and LUSC. In summary, the present study elucidates the roles of lnc-eQTMs in LUAD and LUSC, which could improve our understanding of lung cancer pathogenesis and facilitate treatment.

Indexed as

functional analysislncRNAslung adenocarcinomalung squamous carcinomamethylationprognostic biomarker

Identifiers

PMID33362860
PMCPMC7756030
OpenAlexW3111510986

What OpenQuestion holds

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Registered trials

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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.