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Author Spotlight: Advancements in Hypoxia-Sensitive CAR-T Therapy for Enhanced Cancer Immunotherapy
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Engineering CAR-T cells for solid tumors: bispecific antigen targeting, tumor microenvironment modulation, and
Tanvi Premchandani, Mohammad Qutub, Amol Tatode1
1Department of Pharmaceutics, Bhoyar College of Pharmacy, Smt. Kishoritai, Kamptee, Nagpur, Maharashtra, India. aatatode@gmail.com.
Immunologic Research
|September 20, 2025
Summary
Chimeric antigen receptor T (CAR-T) cell therapy shows promise for solid tumors, with new designs improving targeting and safety. Overcoming challenges in delivery and tumor microenvironments is key for CAR-T 2.0 advancements.
Area of Science:
- Immunotherapy
- Oncology
- Biotechnology
Background:
- Chimeric antigen receptor T (CAR-T) cell therapy has transformed hematologic cancer treatment.
- Significant challenges hinder CAR-T efficacy in solid tumors, including antigen heterogeneity, immunosuppressive tumor microenvironments, and toxicity.
Purpose of the Study:
- To review recent advancements in CAR-T cell therapy for solid tumors.
- To highlight innovations in CAR-T design, delivery systems, and safety mechanisms.
Main Methods:
- Review of CAR-T generations, co-stimulatory domains, and cytokine-armed TRUCKs.
- Comparison of viral and non-viral delivery systems (e.g., CRISPR, mRNA electroporation).
- Discussion of strategies to overcome solid tumor barriers, including dual-targeting, tumor-restricted CARs, and TME modulation.
Main Results:
- Next-generation CAR-T designs incorporate nanobodies and advanced safety switches (e.g., iCasp9).
- CRISPR technology enables multiplex gene editing for enhanced CAR-T specificity.
- Armored CARs and engineered chemokine receptors improve tumor infiltration and microenvironment remodeling.
Conclusions:
- CAR-T therapy for solid tumors shows promise through advanced designs and delivery systems.
- Overcoming manufacturing complexity, off-target effects, and regulatory hurdles is crucial for clinical translation.
- Future directions include AI-driven design and personalized neoantigen targeting for CAR-T 2.0.
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