Evidence map›Paper›PMID 42796603›Full record

ReviewMolecules (Basel, Switzerland)2026

Anticancer Peptides: Design Principles, Translational Bottlenecks, and Emerging Opportunities.

Marissa E Di, Yuanpu Peter Di

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Marissa E DiDepartment of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Yuanpu Peter DiDepartment of Cellular and Molecular Medicine, Center for Translational Science, Herbert Wertheim College of Medicine, Florida International University, Port St. Lucie, FL 34987, USA.ORCID 0000-0003-2028-2087

Funding

Developing a novel class of peptide antibiotics targeting carbapenem-resistant Gram-negative organismsR01AI176537 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Yuanpu Peter Di · 2023 to 2026
$3.5M
Airway Epithelial Defense Mechanisms in Combating STAT3-Deficiency-Related Lung InfectionsR01HL180677 · NHLBI · FLORIDA INTERNATIONAL UNIVERSITY · PI Yuanpu Peter Di · 2026 to 2026
$778k
Optimization of a novel antimicrobial for pulmonary delivery to fight respiratory infectionsR21AI191628 · NIAID · FLORIDA INTERNATIONAL UNIVERSITY · PI Yuanpu Peter Di, Heidi M. Mansour · 2025 to 2026
$406k
NHLBI NIH HHS R01 HL180677NIAID NIH HHS R01 AI176537NIAID NIH HHS R21 AI191628NIH HHS 1R01HL180677-01NIH HHS 1R21AI191628-02NIH HHS 7R01AI176537-04
6 · The paper itself

Abstract

Anticancer peptides (ACPs) are frequently discussed as a single therapeutic class, yet the term encompasses molecules that perform markedly different jobs: direct tumor-cell killing, intracellular target modulation, tumor homing and penetration, or selective delivery of a separate payload. This functional diversity creates opportunity, but it also obscures why many potent peptides fail during translation. In this review, we organize ACPs according to their intended pharmacologic role and examine the molecular and product-development principles that determine whether an active sequence can become a useful medicine. Charge, amphipathicity, conformation, target affinity, cellular entry, protease resistance, tissue exposure, and manufacturability must be optimized as an integrated profile rather than as independent attributes. Representative clinical programs-including the oncolytic peptide LTX-315, the cell-penetrating peptide p28, the stapled peptide ALRN-6924, the tumor-penetrating peptide CEND-1, and the cyclic integrin inhibitor cilengitide-illustrate both the reach of peptide pharmacology and recurrent causes of attrition. We propose a developability-centered workflow that links mechanism, route of administration, pharmacokinetics, pharmacodynamics, biomarker strategy, formulation and chemistry, manufacturing, and controls from the beginning of discovery. For the next generation of ACP development, the most credible opportunities lie in route-matched local or regional therapy, mechanism-based combinations, experimentally constrained artificial intelligence, and peptide-enabled delivery systems supported by fit-for-purpose translational models.

Indexed as

Antineoplastic AgentsDrug DesignNeoplasmsPeptidesAnimalsCell-Penetrating PeptidesHumansAntineoplastic AgentsCell-Penetrating PeptidesPeptidesanticancer peptideshost-defense peptidesoncologypeptide–drug conjugatespeptide engineeringpeptide therapeuticstranslational developmenttumor targeting

Identifiers

PMID42796603
PMCPMC13609706

What OpenQuestion 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 OpenQuestion graph.