Evidence map›Paper›PMID 35903698›Full record

ArticleFrontiers in oncology2022

Comprehensive Analysis of the Transcriptome-wide m6A Methylome in Lung Adenocarcinoma by MeRIP Sequencing.

Wenli Mao, Qingzhen Yu, Kefeng Wang, Qiang Ma, Yuxin Zheng, Guojun Zhang, Wei Luo, Nianwu Wang, Yukun Wang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Identification of mDiscover oncology · 2025
    Article
  5. mActa biochimica et biophysica Sinica · 2023
    Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Wenli MaoDepartment of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Qingzhen YuDepartment of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Kefeng WangDepartment of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Qiang MaDepartment of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Yuxin ZhengDepartment of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Guojun ZhangNutrition Department, Southern University of Science and Technology Hospital, Shenzhen, China.
Wei LuoDepartment of Clinical Laboratory, Southern University of Science and Technology Hospital, Shenzhen, China.
Nianwu WangDepartment of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Yukun WangDepartment of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Southern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

N6-methyladenosine (m6A) is the most abundant internal modification on eukaryotic mRNAs. There is increasing evidence that m6A plays a key role in tumor progression, so it is important to analyze m6A modifications within the transcriptome-wide in lung adenocarcinoma (LUAD). Three pairs of LUAD samples and tumor-adjacent normal tissues were obtained from the South University of Science and Technology Hospital. And then methylated RNA immunoprecipitation sequencing (MeRIP-seq) and RNA sequencing (RNA-seq) were used to identify differential m6A modifications between tumor and tumor-adjacent normal tissues. We identified 4041 aberrant m6A peaks, of which 1192 m6A peaks were upregulated and 2849 m6A peaks downregulated. It was found that genes with the dysregulated m6A peaks were enriched in the pathways in cancer, Rap1 signaling pathway, and insulin resistance. Additionally, 612 genes with abnormal regulation of m6A peaks and RNA expression were identified by combining MeRIP-seq and RNA-seq data. Through KEGG analysis, the 612 genes were enriched in cancer-related signaling pathways, such as the cGMP-PKG signaling pathway, and the Rap1 signaling pathway. What's more, GSEA enrichment analysis showed these genes were enriched in cell cycle phase transition, cell division, cellular response to DNA damage stimulus, and chromosome organization. To further explore the relationship between differential m6A modified genes and clinical parameters of LUAD patients, we searched The Cancer Genome Atlas (TCGA) and identified 2 genes (FCRL5 and GPRIN1) that were associated with the prognosis and diagnosis of LUAD patients. Furthermore, we found a positive correlation between GPRIN1 and m6A reader YTHDF1 in the GEPIA2 database. It was verified that YTHDF1 binds to GPRIN1 mRNA and regulates its expression. Our study results suggest that m6A modification plays important role in the progression and prognosis of LUAD and maybe a potential new therapeutic target for LUAD patients in the future.

Indexed as

GPRIN1lung adenocarcinomam6AMeRIP-seqprognosis

Identifiers

PMID35903698
PMCPMC9315447
OpenAlexW4285010085

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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.