Aug 2026· Journal of Peptide Science· Vol 32· 0 citations· 193 references
Medicine
TL;DR
This review systematically summarizes advancements in peptide‐based therapeutics for solid tumors from 2020 to 2025, and highlights the transformative role of artificial intelligence (AI) in peptide design and discovery.
Abstract
Solid tumors, the most prevalent form of malignancy, pose therapeutic challenges distinct from hematologic malignancies due to their complex biology, including high tumor heterogeneity, a dense extracellular matrix (ECM), an immunosuppressive tumor microenvironment (TME), and multifaceted drug resistance. Peptide drugs have emerged as a focal point in precision oncology, combining the deep tissue penetration of small molecules with the high target specificity, low immunogenicity, and sequence designability of antibodies. This review systematically summarizes advancements in peptide‐based therapeutics for solid tumors from 2020 to 2025. These agents are categorized by function into five classes: tumor‐homing peptides, surface receptor antagonist/inhibitory peptides, interfering peptides, peptide vaccines, and cell‐penetrating peptides as delivery tools. We also highlight the transformative role of artificial intelligence (AI) in peptide design and discovery. Finally, we discuss outcomes from clinical trials of peptide drugs in solid tumors, underscoring their potential as multifunctional agents in this setting.
Continual advances in molecular engineering and precision biomarker strategies are redefining ADCs as versatile platforms for precision oncology and may enable broader, potentially tumor-agnostic, applications in solid tumors.
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The rationale for targeting established and emerging antigens in non-small cell and small cell lung cancer, including HER2, TROP2, c-MET, HER3, CEACAM5, DLL3, and other promising targets currently under clinical investigation are discussed.
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Highlights from the 2026 American Association for Cancer Research Annual Meeting demonstrate significant advances in ADC design, including dual- and multi-payload constructs, multispecific targeting strategies, and immunostimulatory payloads, with the potential to improve clinical outcomes across diverse cancer types.
By embedding measurement into the therapeutic design loop and prioritizing long-term safety and developmental outcomes alongside efficacy, next-generation engineered cell therapies may evolve toward adaptable, precision-guided systems capable of improving both survival and quality of life for children.
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