Evidence map›Paper›PMID 38520648›Full record

ReviewCellular oncology (Dordrecht, Netherlands)2024

3D bioprinted tumor model: a prompt and convenient platform for overcoming immunotherapy resistance by recapitulating the tumor microenvironment.

Zhanyi Zhang, Xuebo Chen, Sujie Gao, Xuedong Fang, Shengnan Ren

Erratum issuedOpen access · hybridAbstract readReview
In one paragraph

Review in Cellular oncology (Dordrecht, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. 3D Printing for Neural Repair: Bridging the Gap in Regenerative Medicine.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Zhanyi Zhang *Bethune Third Clinical Medical College, Jilin University, Changchun, 130021, China.
Xuebo Chen *Department of Gastrointestinal, Colorectal and Anal Surgery, China-Japan Union Hospital of Jilin University, NO. 126, Xiantai Street, Changchun, 130033, China.
Sujie GaoDepartment of Anesthesiology, China-Japan Union Hospital of Jilin University, Changchun, 130033, China.
Xuedong FangDepartment of Gastrointestinal, Colorectal and Anal Surgery, China-Japan Union Hospital of Jilin University, NO. 126, Xiantai Street, Changchun, 130033, China. fangxd@jlu.edu.cn.ORCID http://orcid.org/0000-0002-1382-5373
Shengnan RenDepartment of Breast Surgery, Peking University Cancer Hospital Yunnan, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, NO. 519, Kunzhou Street, Kunming, 650118, China. renshengnan@jlu.edu.cn.ORCID http://orcid.org/0000-0002-7360-6236
Jilin University · CNFirst Bethune Hospital of Jilin University · CNPeking University · CNUnion Hospital · CN

Funding

Jilin Province Health Research Talent Special Project 2023SCZ03Jilin Province Health Research Talent Special Project 2023SCZ10
6 · The paper itself

Abstract

backgroundCancer immunotherapy is receiving worldwide attention for its induction of an anti-tumor response. However, it has had limited efficacy in some patients who acquired resistance. The dynamic and sophisticated complexity of the tumor microenvironment (TME) is the leading contributor to this clinical dilemma. Through recapitulating the physiological features of the TME, 3D bioprinting is a promising research tool for cancer immunotherapy, which preserves in vivo malignant aggressiveness, heterogeneity, and the cell-cell/matrix interactions. It has been reported that application of 3D bioprinting holds potential to address the challenges of immunotherapy resistance and facilitate personalized medication. CONCLUSIONS AND PERSPECTIVES: In this review, we briefly summarize the contributions of cellular and noncellular components of the TME in the development of immunotherapy resistance, and introduce recent advances in 3D bioprinted tumor models that served as platforms to study the interactions between tumor cells and the TME. By constructing multicellular 3D bioprinted tumor models, cellular and noncellular crosstalk is reproduced between tumor cells, immune cells, fibroblasts, adipocytes, and the extracellular matrix (ECM) within the TME. In the future, by quickly preparing 3D bioprinted tumor models with patient-derived components, information on tumor immunotherapy resistance can be obtained timely for clinical reference. The combined application with tumoroid or other 3D culture technologies will also help to better simulate the complexity and dynamics of tumor microenvironment in vitro. We aim to provide new perspectives for overcoming cancer immunotherapy resistance and inspire multidisciplinary research to improve the clinical application of 3D bioprinting technology.

Indexed as

BioprintingImmunotherapyPrinting, Three-DimensionalTumor MicroenvironmentAnimalsDrug Resistance, NeoplasmExtracellular MatrixHumansModels, BiologicalNeoplasmsAcquired resistanceBioprintingCancer immunotherapyIn vitro tumor modelPersonalized medication

Identifiers

PMID38520648
PMCPMC11322267
OpenAlexW4393114134

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.