Evidence map›Paper›PMID 34179079›Full record

ArticleFrontiers in molecular biosciences2021

N6-Methyladenosine RNA Methylation Regulator-Related Alternative Splicing (AS) Gene Signature Predicts Non-Small Cell Lung Cancer Prognosis.

Zhenyu Zhao, Qidong Cai, Pengfei Zhang, Boxue He, Xiong Peng, Guangxu Tu, Weilin Peng, Li Wang, Fenglei Yu, Xiang Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-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

20 citing papers in PubMed, 28 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.

Zhenyu ZhaoDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Qidong CaiDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Pengfei ZhangDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Boxue HeDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Xiong PengDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Guangxu TuDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Weilin PengDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Li WangDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Fenglei YuDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Xiang WangDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant N6-methyladenosine (m6A) RNA methylation regulatory genes and related gene alternative splicing (AS) could be used to predict the prognosis of non-small cell lung carcinoma. This study focused on 13 m6A regulatory genes (METTL3, METTL14, WTAP, KIAA1429, RBM15, ZC3H13, YTHDC1, YTHDC2, YTHDF1, YTHDF2, HNRNPC, FTO, and ALKBH5) and expression profiles in TCGA-LUAD (

Indexed as

alternative splicingm6Anon–small cell lung cancerprognostic signatureThe Cancer Genome Atlas

Identifiers

PMID34179079
PMCPMC8226009
OpenAlexW3172061523

What OpenQuestion holds

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LicenceCC BY
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.