CDC34 suppresses macrophage phagocytic activity and predicts poor response to immune checkpoint inhibitor in cancers DOI Creative Commons

Xiao-Liang Jie,

J. Wei,

Yue Wang

et al.

Cancer Letters, Journal Year: 2025, Volume and Issue: unknown, P. 217822 - 217822

Published: May 1, 2025

Language: Английский

Ethosome-Based Transdermal Drug Delivery: Its Structural Components, Preparation Techniques, and Therapeutic Applications Across Metabolic, Chronic, and Oncological Conditions DOI Creative Commons
Rashed M. Almuqbil, Bandar E. Al‐Dhubiab

Pharmaceutics, Journal Year: 2025, Volume and Issue: 17(5), P. 583 - 583

Published: April 29, 2025

Transdermal drug delivery systems (TDDSs) provide a non-invasive alternative to oral and parenteral routes, delivering drugs into the bloodstream while avoiding gastrointestinal degradation first-pass metabolism. Despite benefits like enhanced bioavailability patient compliance, stratum corneum limits permeation. Ethosomes overcome barrier with superior flexibility permeability compared liposomes. Ethanol disrupts skin’s lipid bilayer, enabling deep penetration efficient delivery. offer high entrapment efficiency stability, both hydrophilic lipophilic drugs. However, challenges stability optimization clinical translation persist. This review examines structural components, preparation methods, therapeutic applications of ethosomes in metabolic chronic diseases, including diabetes, cardiovascular neurodegenerative disorders, arthritis, cancers. Moreover, it highlights potential revolutionize TDDSs for managing providing foundation further research development.

Language: Английский

Citations

1

Application status and research progress of targeted therapy drugs for hormone receptor-positive breast cancer DOI Creative Commons
Han Luo, Yue Sun, Tiefeng Xu

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: March 11, 2025

Breast cancer (BC) is the most common malignant tumor in women and leading cause of cancer-related deaths women. As one subtypes breast cancer, patients with hormone receptor-positive (HR+) usually experience disease progression over an extended period time, triggering search for therapeutic strategies other than endocrine therapy. In recent years, continuous research on various targets has led to dramatic changes treatment patients, resulting prolonged clinical survival. With redefinition human epidermal growth factor-2 (HER2) expression, more precise individualized possible. This review comprehensively reviews targeted therapies critical trials HR+ tracks latest advances. It also provides valuable insights into future direction therapies.

Language: Английский

Citations

0

Innovative nanodelivery systems for targeted breast cancer therapy: overcoming drug delivery challenges and exploring future perspectives DOI
Dandan Su,

Xiaolin Lai,

Zhizhe Lin

et al.

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

Published: March 17, 2025

Language: Английский

Citations

0

Isogarcinol Reduces MARS Levels and Deactivates the PI3K/AKT Pathway to Suppress the Malignant Properties of Breast Cancer Cells DOI
De-Chao Zhang, Yang Chu, Meng Li

et al.

Cell Biochemistry and Biophysics, Journal Year: 2025, Volume and Issue: unknown

Published: March 22, 2025

Language: Английский

Citations

0

Development and validation of a semi-automatic radiomics ensemble model for preoperative evaluation of breast masses in mammotome-assisted minimally invasive resection DOI Open Access
Zhenfeng Huang, Qingqing Zhu, Yijie Li

et al.

Gland Surgery, Journal Year: 2025, Volume and Issue: 14(3), P. 391 - 404

Published: March 1, 2025

Accurate preoperative differentiation of breast masses is critical for guiding individualized treatment strategies in Mammotome-assisted minimally invasive resection. While radiomics shows promise, existing methods rely on manual delineation, which time-consuming and subjective. This study developed an ultrasound-based semi-automatic segmentation ensemble model to improve assessment. We retrospectively analyzed ultrasound images from 773 patients (543 tumors, 230 non-tumors). Semi-automatic was performed using DeepLabv3_ResNet50 fully convolutional network (FCN)_ResNet50. Radiomic deep transfer learning (DTL) features were extracted construct radiomic, learning, combined models. An strategy integrated these with clinical Performance evaluated via receiver operating characteristic (ROC) curves decision curve analysis (DCA). The cohort included 543 tumor non-tumor (95 adenosis, 135 other benign lesions). model, DeepLabv3_ResNet50, achieved a peak global accuracy 99.4% average Dice coefficient 92.0% at its best epoch. On the hand, FCN_ResNet50 exhibited 99.5% 93.7% In task predicting patients, age, maximum diameter, BI-RADS (Breast Imaging Reporting Data System) classification ultimately identified as key indicators, stacking demonstrated area under (AUC) 0.890 training (with sensitivity 0.844 specificity 0.815) AUC 0.780 testing 0.713 0.739). adenosis lesion types, focus emerged crucial factor, 0.813 0.613 0.859) 0.771 0.759 0.765). Our has established grounded techniques. accurately distinguishes between preoperatively, well discriminating types among cohort, thus providing valuable insights planning. proposed demonstrates significant utility by reducing unnecessary biopsies saving diagnostic time compared review. These improvements directly address challenges overtreatment delays management. By enhancing accuracy, our supports tailored surgical planning alleviates patient anxiety associated indeterminate diagnoses.

Language: Английский

Citations

0

Utilization of TEP miRNAs in tumor proliferation, diagnostic evaluation, therapeutic intervention, and prognostic assessment DOI
Yuhan Wang, Ling Jiang, Jie Wang

et al.

Molecular Biology Reports, Journal Year: 2025, Volume and Issue: 52(1)

Published: March 26, 2025

Language: Английский

Citations

0

Harnessing the Role of ESR1 in Breast Cancer: Correlation with microRNA, lncRNA, and Methylation DOI Open Access
Shengping Yang, Claudio Manna, Pulak R. Manna

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(7), P. 3101 - 3101

Published: March 27, 2025

Breast cancer (BC) is a multifactorial condition and it primarily expresses the estrogen receptor α (ERα) that encoded by gene 1 (ESR1), which modulates signaling. ESR1, facilitating overproduction, plays an indispensable role in progression survival of majority BCs. To obtain molecular insights into these phenomena, we analyzed The Cancer Genome Atlas (TCGA) breast invasive carcinoma (BRCA) RNA-Seq datasets for expression ESR1 its correlation to microRNAs (miRNAs) long non-coding RNAs (lncRNAs), along with methylation patterns. Regulation was also assessed total 43 cancerous non-cancerous cell lines. Analyses both TCGA BRCA line data revealed specific lncRNAs, i.e., MEG3, BIK, MLL, FAS are negatively correlated PARP1 demonstrates positive association. Additionally, miR-30a miR-145 showed negative correlations expression. Of 54 loci analyzed, them exhibited expression, highlighting potentially modifiable regulatory mechanism. These findings underscore complex events influencing interaction diverse signaling pathways, demonstrating novel pathogenesis potential therapeutics.

Language: Английский

Citations

0

Nanoparticles for Photodynamic Therapy of Breast Cancer: A Review of Recent Studies DOI Creative Commons
Dorota Bartusik‐Aebisher, Agnieszka Przygórzewska, Paweł Woźnicki

et al.

Molecules, Journal Year: 2025, Volume and Issue: 30(7), P. 1571 - 1571

Published: March 31, 2025

Photodynamic therapy (PDT) is a therapeutic method based on the interaction between light and photosensitizer. Supported by nanoparticles, this represents promising interdisciplinary approach for treatment of many diseases. This article reviews latest 2024 developments in design applications nanoparticles dedicated to stand-alone PDT breast cancer. Strategies improve efficacy enhancing reactive oxygen species (ROS) production, precise delivery photosensitizers their stabilization systemic circulation are discussed, among others. Results from preclinical studies indicate significant improvements efficacy, including inhibition tumor growth, reduction metastasis improvement immune microenvironment. The potential these technologies expand medicine need further clinical trials confirm safety highlighted.

Language: Английский

Citations

0

Exploring Natural Compound Libraries for Breast Cancer Targets: An <i>In Silico</i> Study DOI Open Access

Devakeerthana Mantharachalam,

Bharath Kumar Chagaleti,

G. V. Anjana

et al.

Journal of Natural Remedies, Journal Year: 2025, Volume and Issue: unknown, P. 639 - 656

Published: April 4, 2025

Background: Breast cancer is a globally prevalent, heterogenous disease affecting both women and men across all ethnic groups. It complex the second most frequently diagnosed solid tumour in worldwide. The PI3K/AKT/mTOR signalling pathway plays significant role breast progression, survival, drug resistance. dysregulated approximately 20-34% of cases, making it key target for therapeutic intervention. Aim: This study aims to investigate potential natural compounds against using molecular docking studies evaluate their binding affinity interactions with proteins. Methods: Molecular was performed analyse energy, conformational changes, amino acid selected PI3K AKT. Results: Our virtual suggest that ginsenoside (-7.39 kcal/mol), nimbolide (-6.22 pristimerin (-6.28 kcal/mol) exhibit strong affinities toward PI3K, indicating as inhibitors. Additionally, (-5.52 curcumin (-5.63 (-6.07 demonstrated Conclusion: results these AKT, effective favourable may serve promising candidates targeted therapy, especially patients PI3K/Akt dysregulation. Further experimental validation required confirm efficacy. Major Findings: Nimbolide, pristimerin, demonstrate treatment by modulating PI3K/AKT pathway.

Language: Английский

Citations

0

Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions DOI Creative Commons

Yangping Yang,

Jiong Liu, Jian Shu

et al.

BMC Medical Imaging, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 11, 2025

Language: Английский

Citations

0