Harnessing Folate-Mediated PSMA Targeting for Precision Therapy: An Intelligent Liposomal Nanoplatform Against Prostate Cancer

<b>Background:</b> Prostate cancer is a leading malignancy among males, and conventional chemotherapy is often limited by insufficient tumor selectivity and systemic toxicity. Prostate-specific membrane antigen (PSMA), which is highly expressed on prostate cancer cells, represents a promising target for precision drug delivery. In this study, we developed a folate-modified, PSMA-targeting nanoliposome loaded with docetaxel (DFL) to enhance tumor specificity and therapeutic efficacy. <b>Methods:</b> DFL was prepared using a thin-film hydration-sonication method and characterized through physicochemical analyses. Cellular uptake and cytotoxicity were evaluated in PSMA-high LNCaP cells, with PSMA knockdown used to assess target-dependent internalization. Antitumor efficacy was examined with a microfluidic system and LNCaP xenograft nude mice, and safety was evaluated by measuring hepatic and renal biomarkers and performing histopathological analysis of major organs. <b>Results:</b> DFL demonstrated favorable physicochemical properties and significantly enhanced cellular uptake and cytotoxicity in LNCaP cells relative to control formulations. PSMA knockdown markedly attenuated cellular sensitivity to DFL, confirming PSMA-dependent internalization. A 3D microfluidic perfusion platform further corroborated robust and selective DFL uptake under dynamic flow conditions, thereby strengthening the translational relevance of the targeting effect beyond static cultures. In vivo, DFL substantially inhibited tumor progression in LNCaP xenograft models, reducing both tumor volume and weight by more than 50%. TUNEL assays showed increased apoptosis, and immunohistochemistry revealed reduced Ki-67 expression with concomitant upregulation of Caspase-3. No significant alterations in hepatic or renal biomarkers were observed, and histopathological evaluation demonstrated no treatment-associated lesions in major organs. <b>Conclusions:</b> A folate-modified, PSMA-targeting docetaxel nanoliposome was successfully developed, demonstrating enhanced tumor-specific drug delivery and improved antitumor activity with favorable biocompatibility in preclinical models. DFL represents a promising nanomedicine strategy for the precision chemotherapy of prostate cancer.

Authors

Institutions

Publication Details

Journal
Pharmaceutics
Published
2026-02-15
DOI
https://doi.org/10.3390/pharmaceutics18020244
Primary Topic
Nanoparticle-Based Drug Delivery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Harnessing Folate-Mediated PSMA Targeting for Precision Therapy: An Intelligent Liposomal Nanoplatform Against Prostate Cancer

Xuehao Yu, Youlong Hai, Jiayi Ma, Yu Huang et al.
Pharmaceutics
Nanoparticle-Based Drug Delivery
article

Harnessing Folate-Mediated PSMA Targeting for Precision Therapy: An Intelligent Liposomal Nanoplatform Against Prostate Cancer

Xuehao Yu, Youlong Hai, Jiayi Ma, Yu Huang, Kun Zheng, Kai Ni
article en

Abstract

<b>Background:</b> Prostate cancer is a leading malignancy among males, and conventional chemotherapy is often limited by insufficient tumor selectivity and systemic toxicity. Prostate-specific membrane antigen (PSMA), which is highly expressed on prostate cancer cells, represents a promising target for precision drug delivery. In this study, we developed a folate-modified, PSMA-targeting nanoliposome loaded with docetaxel (DFL) to enhance tumor specificity and therapeutic efficacy. <b>Methods:</b> DFL was prepared using a thin-film hydration-sonication method and characterized through physicochemical analyses. Cellular uptake and cytotoxicity were evaluated in PSMA-high LNCaP cells, with PSMA knockdown used to assess target-dependent internalization. Antitumor efficacy was examined with a microfluidic system and LNCaP xenograft nude mice, and safety was evaluated by measuring hepatic and renal biomarkers and performing histopathological analysis of major organs. <b>Results:</b> DFL demonstrated favorable physicochemical properties and significantly enhanced cellular uptake and cytotoxicity in LNCaP cells relative to control formulations. PSMA knockdown markedly attenuated cellular sensitivity to DFL, confirming PSMA-dependent internalization. A 3D microfluidic perfusion platform further corroborated robust and selective DFL uptake under dynamic flow conditions, thereby strengthening the translational relevance of the targeting effect beyond static cultures. In vivo, DFL substantially inhibited tumor progression in LNCaP xenograft models, reducing both tumor volume and weight by more than 50%. TUNEL assays showed increased apoptosis, and immunohistochemistry revealed reduced Ki-67 expression with concomitant upregulation of Caspase-3. No significant alterations in hepatic or renal biomarkers were observed, and histopathological evaluation demonstrated no treatment-associated lesions in major organs. <b>Conclusions:</b> A folate-modified, PSMA-targeting docetaxel nanoliposome was successfully developed, demonstrating enhanced tumor-specific drug delivery and improved antitumor activity with favorable biocompatibility in preclinical models. DFL represents a promising nanomedicine strategy for the precision chemotherapy of prostate cancer.

PharmaceuticsVol. 18(2)
Sun Yat-sen University (CN), Sun Yat-sen Memorial Hospital (CN), Pudong Medical Center (CN), Shanghai Sixth People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 56%
Nanoparticle-Based Drug Delivery
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.