Multifunctional nanoparticle-mediated combining therapy for human diseases

X Li, X Peng, M Zoulikha, GF Boafo, KT Magar… - Signal transduction and …, 2024 - nature.com
Combining existing drug therapy is essential in develo** new therapeutic agents in
disease prevention and treatment. In preclinical investigations, combined effect of certain …

[HTML][HTML] Emerging therapeutic strategies to overcome drug resistance in cancer cells

P Garg, J Malhotra, P Kulkarni, D Horne, R Salgia… - Cancers, 2024 - mdpi.com
Simple Summary This review explores the challenges of drug resistance in cancer treatment
and discusses innovative strategies to overcome them. Researchers aim to understand how …

PPIA dictates NRF2 stability to promote lung cancer progression

W Lu, J Cui, W Wang, Q Hu, Y Xue, X Liu… - Nature …, 2024 - nature.com
Nuclear factor erythroid 2-related factor 2 (NRF2) hyperactivation has been established as
an oncogenic driver in a variety of human cancers, including non-small cell lung cancer …

[HTML][HTML] Anticancer effect and safety of doxorubicin and nutraceutical sulforaphane liposomal formulation in triple-negative breast cancer (TNBC) animal model

A Pogorzelska, M Mazur, M Świtalska, J Wietrzyk… - Biomedicine & …, 2023 - Elsevier
Female breast cancer is the most deadly cancer in women worldwide. The triple-negative
breast cancer subtype therapies, due to the lack of specific drug targets, are still based on …

Network-based drug repurposing identifies small molecule drugs as immune checkpoint inhibitors for endometrial cancer

F Ahmed, A Samantasinghar, W Ali, KH Choi - Molecular Diversity, 2024 - Springer
Endometrial cancer (EC) is the 6th most common cancer in women around the world. Alone
in the United States (US), 66,200 new cases and 13,030 deaths are expected to occur in …

Camptothecin and its derivatives: Advancements, mechanisms and clinical potential in cancer therapy

M Kamle, S Pandhi, S Mishra, S Barua, A Kurian… - Medical Oncology, 2024 - Springer
Camptothecin (CPT), an alkaloid isolated from the Camptotheca tree, has demonstrated
significant anticancer properties in a range of malignancies. However, its therapeutic …

The recent progress of deep-learning-based in silico prediction of drug combination

H Liu, Z Fan, J Lin, Y Yang, T Ran, H Chen - Drug Discovery Today, 2023 - Elsevier
Highlights•In silico prediction of drug combination has become indispensable due to the
expensive cost of experiments.•Deep learning architectures used for drug combination …

Drug-drug interactions and synergy: from pharmacological models to clinical application

L Calzetta, C Page, MG Matera, M Cazzola… - Pharmacological …, 2024 - Elsevier
This review explores the concept of synergy in pharmacology, emphasizing its importance in
optimizing treatment outcomes through the combination of drugs with different mechanisms …

A review on graph neural networks for predicting synergistic drug combinations

M Besharatifard, F Vafaee - Artificial Intelligence Review, 2024 - Springer
Combinational therapies with synergistic effects provide a powerful treatment strategy for
tackling complex diseases, particularly malignancies. Discovering these synergistic …

[HTML][HTML] Exploring the ancient wisdom and modern relevance of Chinese medicine: A comprehensive review

K Singh, JK Gupta, D Jain, S Kumar, T Singh… - Pharmacological …, 2024 - Elsevier
Introduction Chinese medicine, rooted in a rich history dating back thousands of years, offers
a holistic approach to healthcare that has endured the test of time. This comprehensive …