Evidence map›Paper›PMID 30984623›Full record

ArticleFrontiers in oncology2019

An Integrated Regulatory Network Based on Comprehensive Analysis of mRNA Expression, Gene Methylation and Expression of Long Non-coding RNAs (lncRNAs) in Myelodysplastic Syndromes.

Xiaoli Zhao, Hua Yin, Nianyi Li, Yu Zhu, Wenyi Shen, Sixuan Qian, Guangsheng He, Jianyong Li, Xiaoqin Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 30% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. FADD as a key molecular player in cancer progression.Molecular medicine (Cambridge, Mass.) · 2022
    Review
  5. Review
  6. Article
  7. LINC01255 combined with BMI1 to regulate human mesenchymal stromal senescence and acute myeloid leukemia cell proliferation through repressing transcription of MCP-1.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
  8. Review
  9. Article
  10. Cancers · 2019
    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

9 authors at 4 institutions in 1 country.

Xiaoli ZhaoKey Laboratory of Hematology, Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing Medical University, Nanjing, China.
Hua YinKey Laboratory of Hematology, Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing Medical University, Nanjing, China.
Nianyi LiDepartment of Haematology, Huashan Hospital, Fudan University, Shanghai, China.
Yu ZhuKey Laboratory of Hematology, Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing Medical University, Nanjing, China.
Wenyi ShenKey Laboratory of Hematology, Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing Medical University, Nanjing, China.
Sixuan QianKey Laboratory of Hematology, Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing Medical University, Nanjing, China.
Guangsheng HeKey Laboratory of Hematology, Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing Medical University, Nanjing, China.
Jianyong LiKey Laboratory of Hematology, Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing Medical University, Nanjing, China.
Xiaoqin WangDepartment of Haematology, Huashan Hospital, Fudan University, Shanghai, China.
Nanjing Medical University · CNJiangsu Province Hospital · CNFudan University · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myelodysplastic syndromes (MDS) are a heterogeneous group of disorders characterized by ineffective hematopoiesis, defective differentiation of hematopoietic precursors, and expansion of the abnormal clones. The prevalence of MDS has raised great concerns worldwide, but its pathogenetic mechanisms remain elusive. To provide insights on novel biomarkers for the diagnosis and therapy of MDS, we performed high-throughput genome-wide mRNA expression profiling, DNA methylation analysis, and long non-coding RNAs (lncRNA) analysis on bone marrows from four MDS patients and four age-matched healthy controls. We identified 1,937 differentially expressed genes (DEGs), 515 methylated genes, and 214 lncRNA that showed statistically significant differences. As the most significant module-related DEGs, TCL1A, PTGS2, and MME were revealed to be enriched in regulation of cell differentiation and cell death pathways. In addition, the GeneGo pathway maps identified by top DEGs were shown to converge on cancer, immunoregulation, apoptosis and regulation of actin cytoskeleton, most of which are known contributors in MDS etiology and pathogenesis. Notably, as potential biomarkers for diagnosis of MDS, four specific genes (ABAT, FADD, DAPP1, and SMPD3) were further subjected to detailed pathway analysis. Our integrative analysis on mRNA expression, gene methylation and lncRNAs profiling facilitates further understanding of the pathogenesis of MDS, and may promote the diagnosis and novel therapeutics for this disease.

Indexed as

differentially expressed geneslncRNAsmethylated genesmicroRNAsmyelodysplastic syndromesregulatory network

Identifiers

PMID30984623
PMCPMC6450213
OpenAlexW2929858729

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.