Nanoparticle-Based Biomaterials in Cancer Research: From Mechanistic Insights to Therapeutic Innovation

Cancer remains one of the most complex diseases to study and treat, with tumour microenvironment heterogeneity and therapeutic resistance continuing to limit clinical progress. Biomaterials-based nanoparticles have emerged as versatile platforms that not only advance understanding of cancer biology but also enable innovative therapeutic strategies. As mechanistic tools, nanoparticles can be used to investigate extracellular matrix interactions, mechanotransduction pathways, drug resistance, and tumour–immune crosstalk, providing insights into how physical and biochemical cues influence disease progression. Therapeutically, engineered nanoparticle systems have been developed for the targeted delivery of chemotherapeutics, nucleic acids, and immunomodulatory agents, incorporating features such as stimuli-responsive release, multifunctionality, and theranostic capabilities. Recent advances in patient-derived tumour models, high-throughput screening platforms, and artificial intelligence-assisted design are further driving the development of precision nanomedicine. Despite ongoing challenges related to biodistribution, safety, manufacturing scalability, and regulatory approval, nanoparticle-based biomaterials offer significant opportunities to bridge fundamental cancer research and clinical translation. This review highlights recent mechanistic and therapeutic advances, discusses key translational barriers, and outlines future directions at the interface of biomaterials, nanotechnology, and oncology.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-07-01
DOI
https://doi.org/10.3390/ijms27135930
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nanoparticle-Based Biomaterials in Cancer Research: From Mechanistic Insights to Therapeutic Innovation

Sassan Hafizi, Manoochehr Rasekh
International Journal of Molecular Sciences
Nanoplatforms for cancer theranostics
article

Nanoparticle-Based Biomaterials in Cancer Research: From Mechanistic Insights to Therapeutic Innovation

Sassan Hafizi, Manoochehr Rasekh
article en

Abstract

Cancer remains one of the most complex diseases to study and treat, with tumour microenvironment heterogeneity and therapeutic resistance continuing to limit clinical progress. Biomaterials-based nanoparticles have emerged as versatile platforms that not only advance understanding of cancer biology but also enable innovative therapeutic strategies. As mechanistic tools, nanoparticles can be used to investigate extracellular matrix interactions, mechanotransduction pathways, drug resistance, and tumour–immune crosstalk, providing insights into how physical and biochemical cues influence disease progression. Therapeutically, engineered nanoparticle systems have been developed for the targeted delivery of chemotherapeutics, nucleic acids, and immunomodulatory agents, incorporating features such as stimuli-responsive release, multifunctionality, and theranostic capabilities. Recent advances in patient-derived tumour models, high-throughput screening platforms, and artificial intelligence-assisted design are further driving the development of precision nanomedicine. Despite ongoing challenges related to biodistribution, safety, manufacturing scalability, and regulatory approval, nanoparticle-based biomaterials offer significant opportunities to bridge fundamental cancer research and clinical translation. This review highlights recent mechanistic and therapeutic advances, discusses key translational barriers, and outlines future directions at the interface of biomaterials, nanotechnology, and oncology.

International Journal of Molecular SciencesVol. 27(13)
University of London (GB), Brunel University of London (GB), University of Portsmouth (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Nanoplatforms for cancer theranostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.