Evidence map›Paper›PMID 38180715›Full record

ArticleGenes & genomics2024

Construction of methylation driver gene-related prognostic signature and development of a new prognostic stratification strategy in neuroblastoma.

Yahui Han, Biyun Li, Jian Cheng, Diming Zhou, Xiafei Yuan, Wei Zhao, Da Zhang, Jiao Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Genes & genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

8 authors at 1 institution in 1 country.

Yahui HanDepartment of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Biyun LiDepartment of Pediatric Hematology Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jian ChengDepartment of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Diming ZhouDepartment of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xiafei YuanDepartment of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Wei ZhaoDepartment of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Da ZhangDepartment of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jiao ZhangDepartment of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. zhangjiaomail@126.com.ORCID 0000-0002-6466-6384
First Affiliated Hospital of Zhengzhou University · CN

Funding

Key scientific research projects of colleges and universities in Henan Province No. 20A320020National Natural Science Foundation of China No: 81502187the Basic and Frontier Technology Research Project of Henan Province No. 212102310032
6 · The paper itself

Abstract

backgroundAberrant DNA methylation is one of the major epigenetic alterations in neuroblastoma.

objectiveExploring the prognostic significance of methylation driver genes in neuroblastoma could help to comprehensively assess patient prognosis.

methodsAfter identifying methylation driver genes (MDGs), we used the LASSO algorithm and stepwise Cox regression to construct methylation driver gene-related risk score (MDGRS), and evaluated its predictive performance by multiple methods. By combining risk grouping and MDGRS grouping, we developed a new prognostic stratification strategy and explored the intrinsic differences between the different groupings.

resultsWe identified 44 stably expressed MDGs in neuroblastoma. MDGRS showed superior predictive performance in both internal and external cohorts and was strongly correlated with immune-related scores. MDGRS can be an independent prognostic factor for neuroblastoma, and we constructed the nomogram to facilitate clinical application. Based on the new prognostic stratification strategy, we divided the patients into three groups and found significant differences in overall prognosis, clinical characteristics, and immune infiltration between the different subgroups.

conclusionMDGRS was an accurate and promising tool to facilitate comprehensive pre-treatment assessment. And the new prognostic stratification strategy could be helpful for clinical decision making.

Indexed as

NeuroblastomaProtein Processing, Post-TranslationalGene ExpressionGenetic Risk ScoreHumansMethylationPrognosisDMRsMethylationNomogramPrognosis signatureStratification strategy

Identifiers

PMID38180715
OpenAlexW4390615844

What OpenQuestion holds

Textmetadata
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.