Evidence map›Paper›PMID 35190738›Full record

ArticleJournal of oncology2022

Comprehensive Network Analysis Identified SIRT7, NTRK2, and CHI3L1 as New Potential Markers for Intervertebral Disc Degeneration.

Haoxi Li, Wenhao Li, Li Zhang, Jicheng He, Lin Tang, Zhuhai Li, Feng Chen, Qie Fan, Jianxun Wei

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Immuno-Modulatory Effects of Intervertebral Disc Cells.Frontiers in cell and developmental biology · 2022
    Review
  11. 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

9 authors at 1 institution in 1 country.

Haoxi LiDepartment of Spine Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China.ORCID https://orcid.org/0000-0003-1810-0045
Wenhao LiDepartment of Spine Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China.
Li ZhangDepartment of Pathology, The Third People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China.
Jicheng HeDepartment of Spine Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China.
Lin TangDepartment of Spine Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China.
Zhuhai LiDepartment of Spine Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China.
Feng ChenDepartment of Spine Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China.
Qie FanDepartment of Spine Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China.ORCID https://orcid.org/0000-0001-6391-4342
Jianxun WeiDepartment of Spine Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China.ORCID https://orcid.org/0000-0003-4117-4106
The People's Hospital of Guangxi Zhuang Autonomous Region · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intervertebral disc degeneration (IDD) is considered the basis of serious clinical symptoms, especially for low back pain (LBP). Therefore, it is essential to explore the regulatory role and diagnostic performance of dysregulated genes and potential drugs in IDD. Through WGCNA co-expression analysis, 36 co-expression modules were obtained. Among them, MidnightBlue and Red modules were the most related to IDD. Functional enrichment analysis showed that the Red module was mainly related to neutrophil activation and regulation of cytokine-mediated signaling pathway and apoptosis, whereas the MidnightBlue module was mainly related to extracellular matrix organization, bone development, extracellular matrix, extracellular matrix component, and other extracellular matrices. Furthermore, 356 genes highly related to the module were screened to construct a protein interaction network. Network degree distribution analysis showed that the known IDD-related genes had a higher degree of distribution. Enrichment analysis demonstrated that these genes were enriched in MAPK_SIGNALING_PATHWAY (FDR = 0.012), CHEMOKINE_SIGNALING_PATHWAY, and some other pathways. By constructing a disease-gene interaction network, three disease-specific genes were finally identified. Through combining with the drug-target gene interaction network, two potential therapeutic drugs, entrectinib and larotrectinib, were determined. Finally, based on these genes, the diagnostic model in the training dataset, test dataset, and verification dataset all showed a high diagnostic performance. The findings of this study contributed to the diagnosis of IDD and personalized treatment of IDD.

Identifiers

PMID35190738
PMCPMC8858045
OpenAlexW4211056781

What OpenQuestion holds

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LicenceCC BY
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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.