Evidence map›Paper›PMID 36035161›Full record

ArticleFrontiers in genetics2022

m6A regulator-based methylation modification patterns and characterization of tumor microenvironment in acute myeloid leukemia.

Zi-Jun Xu, Xiang-Mei Wen, Yuan-Cui Zhang, Ye Jin, Ji-Chun Ma, Yu Gu, Xin-Yi Chen, Pei-Hui Xia, Wei Qian, Jiang Lin and 1 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Zi-Jun XuLaboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Xiang-Mei WenLaboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Yuan-Cui ZhangDepartment of Internal Medicine, The Affiliated Third Hospital of Jiangsu University, Zhenjiang, China.
Ye JinZhenjiang Clinical Research Center of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Ji-Chun MaLaboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Yu GuZhenjiang Clinical Research Center of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Xin-Yi ChenLaboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Pei-Hui XiaLaboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Wei QianDepartment of Otolaryngology-Head and Neck Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Jiang LinLaboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Jun QianZhenjiang Clinical Research Center of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA N6-methyladenosine (m6A) is the most common and intensively studied RNA modification that critically regulates RNA metabolism, cell signaling, cell survival, and differentiation. However, the overall role of multiple m6A regulators in the tumor microenvironment (TME) has not yet been fully elucidated in acute myeloid leukemia (AML). In our study, we explored the genetic and transcriptional alterations of 23 m6A regulators in AML patients. Three distinct molecular subtypes were identified and associated with prognosis, patient clinicopathological features, as well as TME characteristics. The TME characterization revealed that m6A patterns were highly connected with metabolic pathways such as biosynthesis of unsaturated fatty acids, cysteine and methionine metabolism, and citrate cycle TCA cycle. Then, based on the differentially expressed genes (DEGs) related to m6A molecular subtypes, our study categorized the entire cohort into three m6A gene clusters. Furthermore, we constructed the m6Ascore for quantification of the m6A modification pattern of individual AML patients. It was found that the tumor-infiltrating lymphocyte cells (TILs) closely correlated with the three m6A clusters, three m6A gene clusters, and m6Ascore. And many biological processes were involved, including glycogen degradation, drug metabolism by cytochrome P450, pyruvate metabolism, and so on. Our comprehensive analysis of m6A regulators in AML demonstrated their potential roles in the clinicopathological features, prognosis, tumor microenvironment, and particularly metabolic pathways. These findings may improve our understanding of m6A regulators in AML and offer new perspectives on the assessment of prognosis and the development of anticancer strategy.

Indexed as

acute myeloid leukemiaimmune infiltrationm6Ametabolic pathwaystumor microenvironment

Identifiers

PMID36035161
PMCPMC9399688

What Socratic holds

Textmetadata
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 Socratic graph.