Evidence map›Paper›PMID 33857692›Full record

ReviewActa biomaterialia2021

Engineered in vitro tumor models for cell-based immunotherapy.

Yuta Ando, Chelsea Mariano, Keyue Shen

Abstract readReview
In one paragraph

Review in Acta biomaterialia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Modeling CAF-tumor interactions to overcome therapy resistance.Journal of experimental & clinical cancer research : CR · 2026
    Review
  5. Review
  6. Endogenous modulators in lung cancer.World journal of clinical cases · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. RSC advances · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  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

3 authors.

Yuta AndoDepartment of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, United States.
Chelsea MarianoDepartment of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, United States.
Keyue ShenDepartment of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, United States; Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, United States; USC Stem Cell, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States. Electronic address: keyue.shen@usc.edu.

Funding

(PQ5) Microenvironmental Regulation of Mitochondrial Heterogeneity in Cancer MetastasisR01CA220012 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHEN, KEYUE · 2019 to 2023
$2.2M
Artificial Stromal Cell for Hematopoietic Stem Cell ExpansionR21EB024748 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHEN, KEYUE · 2017 to 2019
$637k
NCI NIH HHS R01 CA220012NIBIB NIH HHS R21 EB024748
6 · The paper itself

Abstract

Tumor immunotherapy is rapidly evolving as one of the major pillars of cancer treatment. Cell-based immunotherapies, which utilize patient's own immune cells to eliminate cancer cells, have shown great promise in treating a range of malignancies, especially those of hematopoietic origins. However, their performance on a broader spectrum of solid tumor types still fall short of expectations in the clinical stage despite promising preclinical assessments. In this review, we briefly introduce cell-based immunotherapies and the inhibitory mechanisms in tumor microenvironments that may have contributed to this discrepancy. Specifically, a major obstacle to the clinical translation of cell-based immunotherapies is in the lack of preclinical models that can accurately assess the efficacies and mechanisms of these therapies in a (patho-)physiologically relevant manner. Lately, tissue engineering and organ-on-a-chip tools and microphysiological models have allowed for more faithful recapitulation of the tumor microenvironments, by incorporating crucial tumor tissue features such as cellular phenotypes, tissue architecture, extracellular matrix, physical parameters, and their dynamic interactions. This review summarizes the existing engineered tumor models with a focus on tumor immunology and cell-based immunotherapy. We also discuss some key considerations for the future development of engineered tumor models for immunotherapeutics. STATEMENT OF SIGNIFICANCE: Cell-based immunotherapies have shown great promise in treating hematological malignancies and some epithelial tumors. However, their performance on a broader spectrum of solid tumor types still fall short of expectations. Major obstacles include the inhibitory mechanisms in tumor microenvironments (TME) and the lack of preclinical models that can accurately assess the efficacies and mechanisms of cellular therapies in a (patho-)physiologically relevant manner. In this review, we introduce recent progress in tissue engineering and microphysiological models for more faithful recapitulation of TME for cell-based immunotherapies, and some key considerations for the future development of engineered tumor models. This overview will provide a better understanding on the role of engineered models in accelerating immunotherapeutic discoveries and clinical translations.

Indexed as

ImmunotherapyNeoplasmsHumansTissue EngineeringTumor Microenvironment

Identifiers

PMID33857692
PMCPMC8434941

What Socratic 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 Socratic graph.