Review of Lipid Nanoparticles for Breast Cancer Management: Targeting Strategies and Clinical Perspective

Abstract: Chemotherapy, a conventional breast cancer treatment, has limitations due to its nonspecific mechanisms and undesirable side effects. Lipid-based nanoparticles (LNPs) have emerged as a versatile and superior platform for targeted breast cancer treatment, offering several distinct advantages over traditional therapies. This class of nanocarriers, which includes solid lipid nanoparticles (SLNs), nanostructured lipid carriers (NLCs), and liposomes, enhances the bioavailability and stability of therapeutic agents while minimizing systemic toxicity. LNPs can be engineered to precisely target breast cancer cells by exploiting tumor-specific markers, enabling selective delivery of chemotherapeutic agents and reducing off-target effects. SLNs provide controlled drug release and improved drug retention within the tumor, while NLCs offer higher drug-loading capacities and better stability. Liposomes, with their flexible design, allow for the encapsulation of both hydrophilic and hydrophobic drugs and can be modified for active targeting through surface functionalization. These lipid-based carriers also address the challenges of multi-drug resistance (MDR) by enhancing intracellular drug concentration and overcoming efflux mechanisms. In this review, we focus on lipid-based nanoparticles- a subtype of nanoparticles, and their potential advantages as drug delivery systems for breast cancer treatment. Results revealed that lipidbased nanoparticles have shown potential in breast cancer management, these include improved drug efficacy, enhanced ability to overcome cancer therapy resistance, and effective drug carrier for co-loaded drugs.

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Publication Details

Journal
Current Nanomedicine
Published
2024-10-17
DOI
https://doi.org/10.2174/0124681873326272241011161315
Citations
2
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.72
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article

Review of Lipid Nanoparticles for Breast Cancer Management: Targeting Strategies and Clinical Perspective

Samah Hamed Almurisi, Prasanthi Sri, Thiagarajan Madheswaran, Li Sheng et al.
2 citations
Current Nanomedicine
Computational Drug Discovery Methods
0.72
article

Review of Lipid Nanoparticles for Breast Cancer Management: Targeting Strategies and Clinical Perspective

Samah Hamed Almurisi, Prasanthi Sri, Thiagarajan Madheswaran, Li Sheng, Payal Bhatnagar, N A Mazlan, Goo Wei En, Muhamad Zakwan Hafiq
article en
2 citations

Abstract

Abstract: Chemotherapy, a conventional breast cancer treatment, has limitations due to its nonspecific mechanisms and undesirable side effects. Lipid-based nanoparticles (LNPs) have emerged as a versatile and superior platform for targeted breast cancer treatment, offering several distinct advantages over traditional therapies. This class of nanocarriers, which includes solid lipid nanoparticles (SLNs), nanostructured lipid carriers (NLCs), and liposomes, enhances the bioavailability and stability of therapeutic agents while minimizing systemic toxicity. LNPs can be engineered to precisely target breast cancer cells by exploiting tumor-specific markers, enabling selective delivery of chemotherapeutic agents and reducing off-target effects. SLNs provide controlled drug release and improved drug retention within the tumor, while NLCs offer higher drug-loading capacities and better stability. Liposomes, with their flexible design, allow for the encapsulation of both hydrophilic and hydrophobic drugs and can be modified for active targeting through surface functionalization. These lipid-based carriers also address the challenges of multi-drug resistance (MDR) by enhancing intracellular drug concentration and overcoming efflux mechanisms. In this review, we focus on lipid-based nanoparticles- a subtype of nanoparticles, and their potential advantages as drug delivery systems for breast cancer treatment. Results revealed that lipidbased nanoparticles have shown potential in breast cancer management, these include improved drug efficacy, enhanced ability to overcome cancer therapy resistance, and effective drug carrier for co-loaded drugs.

Current NanomedicineVol. 15
IMU University (MY)
Good health and well-being
Openalex Percentile: Top 25%
Computational Drug Discovery Methods
0.72
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