Evidence mapPaperPMID 38786516Full record

ReviewBiomimetics (Basel, Switzerland)2024

Advancement in Cancer Vasculogenesis Modeling through 3D Bioprinting Technology.

Arvind Kumar Shukla, Sik Yoon, Sae-Ock Oh, Dongjun Lee, Minjun Ahn, Byoung Soo Kim

Abstract readReview
In one paragraph

Review in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. 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.

Arvind Kumar ShuklaSchool of Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea.ORCID 0000-0002-9838-7842
Sik YoonDepartment of Anatomy and Convergence Medical Sciences, Pusan National University College of Medicine, Yangsan 50612, Republic of Korea.ORCID 0000-0002-6449-0761
Sae-Ock OhResearch Center for Molecular Control of Cancer Cell Diversity, Pusan National University, Yangsan 50612, Republic of Korea.
Dongjun LeeDepartment of Convergence Medicine, Pusan National University College of Medicine, Yangsan 50612, Republic of Korea.ORCID 0000-0001-6828-401X
Minjun AhnMedical Research Institute, Pusan National University, Yangsan 50612, Republic of Korea.
Byoung Soo KimSchool of Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea.ORCID 0000-0002-6693-0003

Funding

National Research Foundation of Korea 2022R1A5A2027161National Research Foundation of Korea RS-2023-00214149Pusan National University 2022 BK21 FOUR Program
6 · The paper itself

Abstract

Cancer vasculogenesis is a pivotal focus of cancer research and treatment given its critical role in tumor development, metastasis, and the formation of vasculogenic microenvironments. Traditional approaches to investigating cancer vasculogenesis face significant challenges in accurately modeling intricate microenvironments. Recent advancements in three-dimensional (3D) bioprinting technology present promising solutions to these challenges. This review provides an overview of cancer vasculogenesis and underscores the importance of precise modeling. It juxtaposes traditional techniques with 3D bioprinting technologies, elucidating the advantages of the latter in developing cancer vasculogenesis models. Furthermore, it explores applications in pathological investigations, preclinical medication screening for personalized treatment and cancer diagnostics, and envisages future prospects for 3D bioprinted cancer vasculogenesis models. Despite notable advancements, current 3D bioprinting techniques for cancer vasculogenesis modeling have several limitations. Nonetheless, by overcoming these challenges and with technological advances, 3D bioprinting exhibits immense potential for revolutionizing the understanding of cancer vasculogenesis and augmenting treatment modalities.

Indexed as

3D bioprinting technologycancercancer microenvironmentcancer modelingvasculogenesis

Identifiers

PMID38786516
PMCPMC11118135

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.