Breast Cancer Treatment: The Potential of Organic and Inorganic Nanocarriers in Targeted Drug Delivery DOI Creative Commons

Saravanan Alamelu,

Kamalesh Balakumar Venkatesan, Kalist Shagirtha

et al.

Drugs and Drug Candidates, Journal Year: 2024, Volume and Issue: 3(4), P. 813 - 837

Published: Nov. 25, 2024

Breast cancer (BC) is the most prevalent form of malignancy among women on a global scale, ranking alongside lung cancer. Presently, conventional approaches to treatment include surgical procedures followed by chemotherapy or radiotherapy. Nonetheless, efficacy these treatments in battling BC often compromised due adverse effects they inflict healthy tissues and organs. In recent times, range nanoparticles (NPs) has emerged, exhibiting potential specifically target malignant cells while sparing normal organs from harm. This paved way for development nanoparticle-mediated targeted drug delivery systems, holding great promise as technique addressing BC. To increase this new method, several nanocarriers including inorganic NPs (such magnetic NPs, silica etc.) organic (e.g., dendrimers, liposomes, micelles, polymeric NPs) have been used. Herein, we discuss mechanism NP-targeted advancement therapeutic strategies anticancer We also future prospects challenges nanoparticle-based therapies

Language: Английский

Recent advances in targeted strategies for triple-negative breast cancer DOI Creative Commons
Shuangli Zhu, Yuze Wu, Bin Song

et al.

Journal of Hematology & Oncology, Journal Year: 2023, Volume and Issue: 16(1)

Published: Aug. 28, 2023

Triple-negative breast cancer (TNBC), a highly aggressive subtype of cancer, negatively expresses estrogen receptor, progesterone and the human epidermal growth factor receptor 2 (HER2). Although chemotherapy is main form treatment for patients with TNBC, effectiveness TNBC still limited. The search more effective therapies urgent. Multiple targeted therapeutic strategies have emerged according to specific molecules signaling pathways expressed in TNBC. These include PI3K/AKT/mTOR inhibitors, Notch poly ADP-ribose polymerase antibody-drug conjugates. Moreover, immune checkpoint example, pembrolizumab, atezolizumab, durvalumab, are widely explored clinic. We summarize recent advances therapy immunotherapy aim serving as reference development individualized future.

Language: Английский

Citations

112
Development of a versatile biomaterial of chitosan polymer/ginger (Zingiber officinale Roscoe) extract/ZnO bionanocomposite: physicochemical properties, antioxidant activity, and breast cancer therapy DOI

Muthanna O. Hussein,

Ahmed Saud Abdulhameed

Research on Chemical Intermediates, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 11, 2025

Language: Английский

Citations

1
Predicting breast cancer recurrence using deep learning DOI Creative Commons

Deepa Kumari,

M. Naidu, Subhrakanta Panda

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(2)

Published: Jan. 30, 2025

Abstract Breast cancer and its recurrence are significant health concerns, emphasizing the critical importance of early detection personalized treatment strategies for improved outcomes. This study introduces BCR-HDL (Breast Cancer Recurrence using Hybrid Deep Learning) framework, a novel approach designed to predict breast with high accuracy interpretability. Utilizing Wisconsin Diagnostic Prognostic datasets, framework integrates multiple deep learning architectures- Multi layer Perceptron (MLP), Visual Geometry Group (VGG), Residual Network (ResNet), Extreme Inception (Xception)-with traditional machine models such as Support Vector Machine (SVM), Decision Trees (DT), Random Forest (RF), Logistic Regression (LR). hybridization leads creation 16 robust that enhance interpretability, facilitate generalization, effectively manage challenges related small class imbalance, data preprocessing. The framework’s unique contributions include ability not only diagnostic outcomes but also prognostic timing, offering comprehensive solution management. Specifically, MLP+RF Xception+RF achieved an exceptional 97% on WDBC dataset, while model reached 78% WPBC dataset. Moreover, ResNet+SVM ResNet+RF demonstrated impressive performance in multi-classifying into different time intervals, achieving 92% predicting within 2 years, between 4 beyond years. provides detailed analysis through training versus validation graphs comparison existing approaches, demonstrating superiority proposed terms diagnostic, prognostic, predictions. offers practical recommendations clinicians, including potential patient monitoring, making it valuable tool advancing

Language: Английский

Citations

1
Quercetin exerts anti-tumor immune mechanism by regulating IL-6/JAK2/STAT3 signaling pathway to deplete Treg cells DOI
Yu‐Pei Liao, Xiaoqing Xie, Chu Zhang

et al.

Toxicon, Journal Year: 2024, Volume and Issue: 243, P. 107747 - 107747

Published: May 1, 2024

Language: Английский

Citations

7
Paclitaxel Resistance in Breast Cancer: Current Challenges and Recent Advanced Therapeutic Strategies DOI Creative Commons

Heidi A Abouzeid,

Loay Kassem, Xumei Liu

et al.

Cancer Treatment and Research Communications, Journal Year: 2025, Volume and Issue: unknown, P. 100918 - 100918

Published: March 1, 2025

Breast cancer (BC) is one of the leading causes cancer-related deaths among women worldwide. Paclitaxel (PTX), a chemotherapeutic agent derived from taxane family, commonly used in treating BC due to its ability disrupt microtubule dynamics and induce cell death. However, resistance PTX presents significant challenge, as it diminishes drug's effectiveness can lead treatment failure. This review explores mechanisms by which exerts effects various factors contributing resistance. These include genetic mutations that affect tubulin dynamics, role non-coding RNAs, molecular pathways involved chemoresistance, epigenetic changes, post-transcriptional modifications, increased activity ABC transporters promote drug efflux, immunosuppressive interactions within tumor microenvironment, mediated autophagy. also strategies overcome resistance, including innovations, combination therapies, nanotechnology-based approaches. may improve efficacy enhance outcomes for patients.

Language: Английский

Citations

0
Combining KPNA2 and FOXM1 Expression as Prognostic Markers and Therapeutic Targets in Hormone Receptor-Positive, HER2-Negative Breast Cancer DOI Open Access

Tsen‐Long Yang,

Chung‐Hsin Tsai, Ying‐Wen Su

et al.

Cancers, Journal Year: 2025, Volume and Issue: 17(4), P. 671 - 671

Published: Feb. 17, 2025

Background/Objectives: Breast cancer remains the leading malignancy affecting women worldwide, with significant mortality rates. This study aimed to evaluate prognostic significance of FOXM1 expression specifically in hormone receptor-positive, HER2-negative (HR+HER2-) breast patients high KPNA2 expression, and identify potential FOXM1-targeted therapeutic strategies for this patient subgroup. Methods: We analyzed RNA sequencing microarray data from three independent cohorts: Mackay Memorial Hospital samples, The Cancer Genome Atlas, Gene Expression Omnibus databases. levels KPNA2, FOXM1, CCNB1, CCNB2 were evaluated, particular emphasis on stratifying based levels. Their associations clinical outcomes assessed using Set Enrichment Analysis survival analyses. Results: While showed strong positive correlations across all datasets, our analysis revealed a distinct pattern HR+HER2- expressions. In specific subgroup, low emerged as favorable indicator, despite generally poor prognosis associated demonstrated enrichment G2/M checkpoint pathway KPNA2-expressing patients, suggesting vulnerability inhibition Conclusions: establishes critical marker, KPNA2-high where correlate improved outcomes. These findings suggest that could be particularly effective offering novel strategy molecular subtype. Several inhibitors, including thiostrepton FDI-6, warrant investigation targeted treatments patients.

Language: Английский

Citations

0
Computational Exploration of Multitarget Effects of Curcumin in Breast Cancer Treatment DOI Creative Commons

Shipra Reddy Bethi,

Rahul Shirole,

Gauri Ghangale

et al.

Pharmaceutical Fronts, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Abstract Curcumin, a bioactive compound derived from Curcuma longa, has shown promising potential in breast cancer therapy due to its multitarget pharmacological effects. This study aimed explore the molecular mechanisms underlying curcumin's anticancer activity using an integrative computational approach, including predictive modeling, docking, and pathway enrichment analysis. Curcumin demonstrated strong binding affinities critical targets such as matrix metalloproteinase-9 (MMP9), protein kinase B (AKT1), epidermal growth factor receptor (EGFR), signal transducer activator of transcription 3 (STAT3), which are implicated pathways regulating cell survival, proliferation, invasion, metastasis. Gene Ontology Kyoto Encyclopedia Genes Genomes analyses revealed ability modulate processes like apoptosis, inflammation, signaling, emphasizing therapeutic versatility. Molecular docking dynamics simulations further validated stable interactions with key targets. Complementing findings, vitro studies MCF-7 cells confirmed dose-dependent cytotoxic These results highlight complementary agent management, vivo needed substantiate clinical utility studies.

Language: Английский

Citations

0
Emerging phytochemical-based nanocarriers: redefining the perspectives of breast cancer therapy DOI
Gulshan Sharma,

Rohil Panwar,

Sangeeta Saini

et al.

Naunyn-Schmiedeberg s Archives of Pharmacology, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Language: Английский

Citations

0
Transformer-inspired training principles based breast cancer prediction: combining EfficientNetB0 and ResNet50 DOI Creative Commons
Tariq Shahzad, Tehseen Mazhar, Sheikh Muhammad Saqib

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 18, 2025

Language: Английский

Citations

0
Broccoli Cultivated with Deep Sea Water Mineral Fertilizer Enhances Anti-Cancer and Anti-Inflammatory Effects of AOM/DSS-Induced Colorectal Cancer in C57BL/6N Mice DOI Open Access
Yeon-Jun Lee, Yanni Pan,

Daewoo Lim

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(3), P. 1650 - 1650

Published: Jan. 29, 2024

This study aimed to determine the alleviating effect of broccoli grown with deep sea water mineral (DSWM) fertilizer extracted from on development colorectal cancer in C57BL/6N mice treated AOM/DSS. Naturaldream Fertilizer Broccoli (NFB) cultured minerals showed a higher antioxidant and content. In addition, orally administered NFB, level recovery colon spleen tissues compared those normal through hematoxylin eosin (H&E) staining. Orally NFB inhibition expression inflammatory cytokine factors IL-1β, IL-6, TNF, IFN-γ, IL-12 while increasing IL-10. Furthermore, cytokines NF-κB liver tissue was inhibited, that enzymes, such as COX-2 iNOS, reduced. tissue, p53 p21 associated cell cycle arrest increased, Bcl-2 apoptosis decreased. Additionally, Bax, Bad, Bim, Bak, caspase 9, 3 indicating enhanced activation apoptosis-related factors. These results demonstrate oral administration cultivated using DSWM significantly restores simultaneously inhibits pathway decreasing expression. Moreover, by inducing activating apoptosis, they also suggest AOM/DSS-induced symptoms mice.

Language: Английский

Citations

3