Skip to content
Review Open access

Peptide Therapeutics for Solid Tumors: Functional Classes, AI‐Enhanced Discovery and Clinical Advances

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.

Read PDF

Similar papers

Review Aug 2026

Precision Warfare in Solid Tumors: Molecular Mechanisms and Emerging Frontiers of Antibody-Drug Conjugates.

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.

H. P. Luqmana, A. Ashariati, M. Savitri et al. · 0 citations
Review Open access Aug 2026

Antibody–Drug Conjugates in Lung Cancer: Promise, Progress, and Persistent Challenges

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.

P. Paliogiannis, G. Fara, A. Zinellu et al. · 0 citations
Open access Jul 2026

Advances in antibody-drug conjugates in cancer: latest updates from the 2026 AACR annual meeting

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.

Yan-Ruide Li, Yichen Zhu, Yuning Chen · 0 citations
Review Open access Aug 2026

Bioengineered cell therapies for pediatric solid tumors: unmet needs and a measurement-integrated approach.

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.

Ana M. Sandoval-Castellanos, Yumin Ahn, Robert J Canter et al. · 0 citations
Review Open access Aug 2026

Developing next-generation antibody-drug conjugates for breast cancer drug delivery: hurdles and advances in the clinic.

This review synthesizes literature spanning 1990-2026 on advances in ADC design and their clinical and translational implementation in breast cancer to support reframing antigen selection as a system-level challenge, supported by delivery-focused engineering, precision-medicine-driven trial design, and adaptive methodology.

Callum Chapman, A. Cheung, G. B. Armstrong et al. · 0 citations
Review Open access Aug 2026

Nanotechnology-based immunotherapy: integrating Artificial Intelligence (AI) with current strategies in combating brain cancer disease

This review discusses current nanotechnology-based immunotherapies and highlights the emerging role of integrating AI in vaccine development as next-generation strategies for improving outcomes in brain cancer treatment.

Alia Syazana Mohd Roslei, H. Huri, D. A. Pratama et al. · 0 citations