Evidence map›Paper›PMID 34988011›Full record

ReviewFrontiers in oncology2021

A New Antitumor Direction: Tumor-Specific Endothelial Cells.

Jing Liang, Shouqi Wang, Guowei Zhang, Baoyu He, Qingli Bie, Bin Zhang

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. 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
–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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Role of Cancer Side Population Stem Cells in Ovarian Cancer Angiogenesis.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024
    Review
  9. Review
  10. Article
  11. 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

6 authors.

Jing LiangDepartment of Laboratory Medicine, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.
Shouqi WangDepartment of Gastrointestinal Surgery, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.
Guowei ZhangDepartment of Gastrointestinal Surgery, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.
Baoyu HeDepartment of Laboratory Medicine, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.
Qingli BieDepartment of Laboratory Medicine, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.
Bin ZhangDepartment of Laboratory Medicine, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeting tumor blood vessels is an important strategy for tumor therapies. At present, antiangiogenic drugs are known to have significant clinical effects, but severe drug resistance and side effects also occur. Therefore, new specific targets for tumor and new treatment methods must be developed. Tumor-specific endothelial cells (TECs) are the main targets of antiangiogenic therapy. This review summarizes the differences between TECs and normal endothelial cells, assesses the heterogeneity of TECs, compares tumorigenesis and development between TECs and normal endothelial cells, and explains the interaction between TECs and the tumor microenvironment. A full and in-depth understanding of TECs may provide new insights for specific antitumor angiogenesis therapies.

Indexed as

antiangiogenic therapytumor angiogenesistumor heterogeneitytumor microenvironmenttumor-specific endothelial cells

Identifiers

PMID34988011
PMCPMC8721012

What OpenQuestion holds

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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.