Evidence map›Paper›PMID 38045198›Full record

ArticleHeliyon2023

Identification and validation of 5-methylcytosine-associated genes in diffuse large B-cell lymphoma.

Cheng Xing, Shicong Zhu, Wenzhe Yan, Hongkai Zhu, Zineng Huang, Yan Zhao, Wancheng Guo, Huifang Zhang, Le Yin, Xueqin Ruan and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. 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
–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

1 citing paper in PubMed.

  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

15 authors.

Cheng XingDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Shicong ZhuDepartment of Geriatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Wenzhe YanDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hongkai ZhuDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zineng HuangDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yan ZhaoDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Wancheng GuoDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Huifang ZhangDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Le YinDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xueqin RuanDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zeyue DengDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Peilong WangDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhao ChengDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhihua WangDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hongling PengDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

5-methylcytosine modifications play a significant role in carcinogenesis; however, studies exploring 5-methylcytosine-related genes in diffuse large B-cell lymphoma patients are lacking. In this study, we aimed to understand the potential role and clinical prognostic impact of 5-methylcytosine regulators in diffuse large B-cell lymphoma and identify a prognostic biomarker based on 5-methylcytosine-associated genes. Gene expression profiles and corresponding clinical information of diffuse large B-cell lymphoma patients and normal controls were obtained from The Cancer Genome Atlas, Gene Expression Omnibus, and Genotype-Tissue Expression databases. Diffuse large B-cell lymphoma was divided into three clusters according to the 5-methylcytosine regulators, and differentially expressed genes were screened among the three clusters. Univariate Cox and Lasso-Cox regression analyses were used to screen prognostic genes and construct a prognostic risk model. Kaplan-Meier curve analysis, univariate and multivariate Cox regression analyses, and time-dependent receiver operator characteristic curve analysis were used to evaluate prognostic factors. GSVA was used to enrich potential pathways associated with 5-methylcytosine modification patterns. SsGSEA and CIBERSORT were used to assess immune cell infiltration. Six 5-methylcytosine-related genes (

Indexed as

5-MethylcytosineBiomarkerDiffuse large B-Cell lymphomaPrognosisRisk model

Identifiers

PMID38045198
PMCPMC10689887

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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.