Evidence map›Paper›PMID 39728181›Full record

ArticleJournal of functional biomaterials2024

Three-Dimensional Printing of Hydrogel Blend Tissue Engineering Scaffolds with In Situ Delivery of Anticancer Drug for Treating Melanoma Resection-Induced Tissue Defects.

Xiao-Die Chen, Xin-Yang Zhang, Han-Qi Zhu, Helen H Lu, Min Wang

Abstract read
In one paragraph

Article in Journal of functional biomaterials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

5 authors.

Xiao-Die ChenDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Xin-Yang ZhangDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Han-Qi ZhuDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Helen H LuDepartment of Biomedical Engineering, Columbia University, 1210 Amsterdam Avenue, New York, NY 10027, USA.
Min WangDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgery is considered the gold standard for treating melanoma, but the high recurrence rate after surgery still remains as a major challenge. Therefore, using doxorubicin (DOX) as a model drug, this study investigated the 3D printing of anticancer drug-loaded hydrogel blend scaffolds for inhibiting post-operation melanoma recurrence and for promoting tissue regeneration. Three-dimensional printing could successfully produce methacrylate-modified chitosan (CSMA) and methylcellulose (MC) hydrogel blend scaffolds. Polymer blend inks exhibited satisfactory printability, and the printed porous scaffolds showed good biocompatibility and mechanical properties. Three-dimensionally printed DOX-loaded hydrogel scaffolds displayed controlled drug release, which may effectively prevent/impede tumor recurrence after surgery. Furthermore, combining 3D printing and bioprinting, DOX-loaded and rat bone marrow mesenchymal stem cell (rBMSC)-laden scaffolds were created for assessing local DOX delivery on healthy tissues. Within the 14-day culture period, rBMSCs encapsulated in multilayered scaffolds that were incorporated with DOX displayed rejuvenated cell viability. The 3D printed and bioprinted dual purpose hydrogel scaffolds have the promise of combating tumor recurrence and providing structural support for tissue regeneration.

Indexed as

bioprintingdrug deliveryhydrogel blendscaffoldthree-dimensional printingtissue regeneration

Identifiers

PMID39728181
PMCPMC11678273

What OpenQuestion holds

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Registered trials

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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.