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Related Concept Videos

Tumor Immunotherapy01:27

Tumor Immunotherapy

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Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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Cancer Vaccines01:30

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Cancer treatment vaccines are a rapidly evolving field that offers a promising approach to immunotherapy. Unlike traditional vaccines that prevent diseases, cancer treatment vaccines are designed to treat existing cancers by stimulating the immune system to recognize and attack cancer cells.
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
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Related Experiment Video

Updated: Dec 6, 2025

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
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Screening Cancer Immunotherapy: When Engineering Approaches Meet Artificial Intelligence.

Xingwu Zhou1,2,3, Moyuan Qu1,2,4, Peyton Tebon1,2

  • 1Department of Bioengineering University of California, Los Angeles Los Angeles CA 90095 USA.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|October 12, 2020
PubMed
Summary

Engineering advanced screening platforms, including organoids and organs-on-a-chip, can improve cancer immunotherapy efficacy prediction. These methods aid in developing personalized treatments and overcoming patient response variability in cancer immunotherapy.

Keywords:
artificial intelligencecancer immunotherapydrug screeninghigh‐throughput screeningtissue engineering

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Area of Science:

  • Biomedical Engineering
  • Cancer Research
  • Immunology

Background:

  • Immunotherapy shows promise for cancer treatment, with increasing FDA approvals.
  • Clinical use is hindered by variable patient responses and lack of efficacy predictors.
  • Predicting patient response and developing new immunotherapies require advanced screening platforms.

Purpose of the Study:

  • To highlight engineering approaches for screening cancer immunotherapies.
  • To discuss future perspectives and challenges in advancing cancer immunotherapy.
  • To improve the prediction of patient-specific responses to immunotherapeutic agents.

Main Methods:

  • Utilizing advanced engineering platforms such as sequencing, gene editing, tumor organoids, bioprinted tissues, and organs-on-a-chip.
  • Recreating tumor and microenvironment features to screen immunotherapies.
  • Leveraging high-throughput platforms and artificial intelligence for efficient screening.

Main Results:

  • Engineering approaches enable comprehensive screening of cancer immunotherapies.
  • These platforms can model tumor complexity and microenvironment interactions.
  • AI and high-throughput methods enhance screening efficiency and accuracy.

Conclusions:

  • Advanced engineering platforms are crucial for overcoming challenges in cancer immunotherapy.
  • These technologies facilitate personalized treatment strategies and improved clinical outcomes.
  • Further development is needed to fully realize the potential of engineering in cancer immunotherapy.