Evidence map›Paper›PMID 30593175›Full record

ArticleMedicine2018

Evaluation of the correlation of vasculogenic mimicry, Notch4, DLL4, and KAI1/CD82 in the prediction of metastasis and prognosis in non-small cell lung cancer.

Yichao Wang, Ruixue Yang, Xiaolin Wang, Hongfei Ci, Lei Zhou, Bo Zhu, Shiwu Wu, Danna Wang

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Celecoxib Blocks Vasculogenic MimicryFrontiers in oncology · 2021
    Article
  17. Article
  18. Article
  19. Review
  20. 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

8 authors at 1 institution in 1 country.

Yichao WangDepartment of Pathology, The First Affiliated Hospital of Bengbu Medical College.
Ruixue YangDepartment of Pathology, The First Affiliated Hospital of Bengbu Medical College.
Xiaolin WangDepartment of Pathology, The First Affiliated Hospital of Bengbu Medical College.
Hongfei CiDepartment of Pathology, The First Affiliated Hospital of Bengbu Medical College.
Lei ZhouDepartment of Pathology, The First Affiliated Hospital of Bengbu Medical College.
Bo ZhuDepartment of Pathology, The First Affiliated Hospital of Bengbu Medical College.
Shiwu WuDepartment of Pathology, The First Affiliated Hospital of Bengbu Medical College.
Danna WangDepartment of Pathology, The First Affiliated Hospital of Bengbu Medical College.
First Affiliated Hospital of Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vasculogenic mimicry (VM) is a new blood supply style in tumors and has long been treated as a useful factor in malignant tumor metastasis and prognosis. Notch4 (a marker of Notch signaling pathway receptors), DLL4 (a marker of Notch signaling pathway ligands) and KAI1/CD82 (a suppressor gene of tumor metastasis) are all effective predictive factors for tumor metastasis. In this study, we analyzed correlations among VM, Notch4, DLL4, and KAI1/CD82 in non-small cell lung cancer (NSCLC), and their respective associations with patients' clinicopathological parameters and survival rate in NSCLC.Positive rates of VM, Notch4, DLL4, and KAI1/CD82 in 189 whole NSCLC specimens were detected by histochemical and immunohistochemical staining. Moreover, patients' clinicopathological information was also collected.Positive rates of VM, Notch4, and DLL4 were significantly higher, and levels of KAI1/CD82 were significantly lower in NSCLC than in normal lung tissues. Positive rates of VM, Notch4, and DLL4 were positively associated with tumor size, lymph node metastasis (LNM), distant metastasis (DM) and tumor-node-metastasis (TNM) stage, and inversely with patients, overall survival (OS) time and positive rate of DLL4 were positively associated with tumor grade. Levels of KAI1/CD82 were negatively associated with tumor size, LNM, DM, and TNM stage. The KAI1/CD82+ subgroup had significantly longer OS time than did the KAI1/CD82- subgroup. In multivariate analysis, high VM, Notch4, DLL4 levels, tumor size, LNM, DM, TNM stage, and low KAI1/CD82 levels were potential to be independent prognostic factors for overall survival time (OST) in NSCLC patients.VM and the expression of Notch4, DLL4, and KAI1/CD82 represent promising markers for tumor metastasis and prognosis, and maybe potential therapeutic targets for NSCLC.

Indexed as

Adaptor Proteins, Signal TransducingAdultAgedBiomarkers, TumorCalcium-Binding ProteinsCarcinoma, Non-Small-Cell LungFemaleHumansIntercellular Signaling Peptides and ProteinsKangai-1 ProteinLung NeoplasmsLymphatic MetastasisMaleMiddle AgedMolecular MimicryMultivariate AnalysisAdaptor Proteins, Signal TransducingBiomarkers, TumorCalcium-Binding ProteinsCD82 protein, humanDLL4 protein, humanIntercellular Signaling Peptides and ProteinsKangai-1 ProteinNOTCH4 protein, humanReceptor, Notch4

Identifiers

PMID30593175
PMCPMC6314709
OpenAlexW2908454689

What OpenQuestion 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 OpenQuestion graph.