Evidence map›Paper›PMID 38743323›Full record

ArticleMedical oncology (Northwood, London, England)2024

Rhein suppresses esophageal cancer development by regulating cell cycle through DNMT3B gene.

Cheng Li, Jingjing Yu, Ying Feng, Xiaoxue Sun, Mingming Sun, Weihui Ni, Jun Shao, Baoxin Wang

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2024. 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. Review
  2. Article
  3. 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.

Cheng LiDepartment of Pharmacy, The Third Affiliated Hospital of Qiqihar Medical University, 3 Tai Shun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, China.
Jingjing YuDepartment of Pharmacy, The Third Affiliated Hospital of Qiqihar Medical University, 3 Tai Shun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, China.
Ying FengDepartment of Pharmacy, The Third Affiliated Hospital of Qiqihar Medical University, 3 Tai Shun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, China.
Xiaoxue SunDepartment of Pharmacy, The Third Affiliated Hospital of Qiqihar Medical University, 3 Tai Shun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, China.
Mingming SunDepartment of Pharmacy, The Third Affiliated Hospital of Qiqihar Medical University, 3 Tai Shun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, China.
Weihui NiDepartment of Pharmacy, The Third Affiliated Hospital of Qiqihar Medical University, 3 Tai Shun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, China.
Jun ShaoDepartment of Pharmacy, The Third Affiliated Hospital of Qiqihar Medical University, 3 Tai Shun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, China.
Baoxin WangDepartment of Pharmacy, The Third Affiliated Hospital of Qiqihar Medical University, 3 Tai Shun Street, Tiefeng District, Qiqihar City, Heilongjiang Province, China. wangbaoxin@qmu.edu.cn.

Funding

Research Project of Health Commission of Heilongjiang Province 20221313050598
6 · The paper itself

Abstract

The mechanism by which DNMT3B facilitates esophageal cancer (ESCA) progression is currently unknown, despite its association with adverse prognoses in several cancer types. To investigate the potential therapeutic effects of the Chinese herbal medicine rhubarb on esophageal cancer (ESCA), we adopted an integrated bioinformatics approach. Gene Set Enrichment Analysis (GSEA) was first utilized to screen active anti-ESCA components in rhubarb. We then employed Weighted Gene Co-expression Network Analysis (WGCNA) to identify key molecular modules and targets related to the active components and ESCA pathogenesis. This system-level strategy integrating multi-omics data provides a powerful means to unravel the molecular mechanisms underlying the anticancer activities of natural products, like rhubarb. To investigate module gene functional enrichment, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted. In addition, we evaluated the predictive impact of DNMT3B expression on ESCA patients utilizing the Kaplan-Meier method. Finally, we conducted experiments on cell proliferation and the cell cycle to explore the biological roles of DNMT3B. In this study, we identified Rhein as the main active ingredient of rhubarb that exhibited significant anti-ESCA activity. Rhein markedly suppressed ESCA cell proliferation. Utilizing Weighted Gene Co-expression Network Analysis (WGCNA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, we determined that the blue module was associated with Rhein target genes and the cell cycle. Additionally, DNMT3B was identified as a Rhein target gene. Analysis of The Cancer Genome Atlas (TCGA) database revealed that higher DNMT3B levels were associated with poor prognosis in ESCA patients. Furthermore, Rhein partially reversed the overexpression of DNMT3B to inhibit ESCA cell proliferation. In vitro studies demonstrated that Rhein and DNMT3B inhibition disrupted the S phase of the cell cycle and affected the production of cell cycle-related proteins. In this study, we found that Rhein exerts its anti-proliferative effects in ESCA cells by targeting DNMT3B and regulating the cell cycle.

Indexed as

AnthraquinonesCell CycleCell ProliferationDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BEsophageal NeoplasmsCell Line, TumorComputational BiologyGene Expression Regulation, NeoplasticHumansRheumAnthraquinonesDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BDNMT3B protein, humanrheinCell cycleCell proliferationDNMT3BEsophageal cancerRhein

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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.