Drug repurposing for cancer therapy

Signal Transduction and Targeted Therapy, Journal Year: 2024, Volume and Issue: 9(1)

Published: April 18, 2024

Abstract Cancer, a complex and multifactorial disease, presents significant challenge to global health. Despite advances in surgical, radiotherapeutic immunological approaches, which have improved cancer treatment outcomes, drug therapy continues serve as key therapeutic strategy. However, the clinical efficacy of is often constrained by resistance severe toxic side effects, thus there remains critical need develop novel therapeutics. One promising strategy that has received widespread attention recent years repurposing: identification new applications for existing, clinically approved drugs. Drug repurposing possesses several inherent advantages context since repurposed drugs are typically cost-effective, proven be safe, can significantly expedite development process due their already established safety profiles. In light this, present review offers comprehensive overview various methods employed repurposing, specifically focusing on treat cancer. We describe antitumor properties candidate drugs, discuss detail how they target both hallmarks tumor cells surrounding microenvironment. addition, we examine innovative integrating with nanotechnology enhance topical delivery. also emphasize role play when used part combination regimen. To conclude, outline challenges associated consider future prospects these transitioning into application.

Language: Английский

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Advances in Precision Medicine Approaches for Colorectal Cancer: From Molecular Profiling to Targeted Therapies

ACS Pharmacology & Translational Science, Journal Year: 2024, Volume and Issue: 7(4), P. 967 - 990

Published: March 19, 2024

Precision medicine is transforming colorectal cancer treatment through the integration of advanced technologies and biomarkers, enhancing personalized effective disease management. Identification key driver mutations molecular profiling have deepened our comprehension genetic alterations in cancer, facilitating targeted therapy immunotherapy selection. Biomarkers such as microsatellite instability (MSI) DNA mismatch repair deficiency (dMMR) guide decisions, opening avenues for immunotherapy. Emerging liquid biopsies, artificial intelligence, machine learning promise to revolutionize early detection, monitoring, selection precision medicine. Despite these advancements, ethical regulatory challenges, including equitable access data privacy, emphasize importance responsible implementation. The dynamic nature with its tumor heterogeneity clonal evolution, underscores necessity adaptive strategies. future lies potential enhance patient care, clinical outcomes, understanding this intricate disease, marked by ongoing evolution field. current reviews focus on providing in-depth knowledge various diverse approaches utilized against at both biochemical levels.

Language: Английский

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Metronomic chemotherapy and drug repurposing: A paradigm shift in oncology

Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e24670 - e24670

Published: Jan. 14, 2024

Cancer represents a significant global health and economic burden due to its high mortality rates. While effective in some instances, traditional chemotherapy often falls short of entirely eradicating various types cancer. It can cause severe side effects harm healthy cells. Two therapeutic approaches have risen the forefront address these limitations: metronomic (MCT) drug repurposing. Metronomic is an innovative approach that breaks from models. involves administration chemotherapeutic regimens at lower doses, without long drug-free intervals previously been hallmark such treatments. This method offers reduction improved disease management. Simultaneously, repurposing has gained considerable attraction cancer treatment. utilizing existing drugs, initially developed for other purposes, as potential The application known drugs new context accelerates timeline laboratory patient pre-existing safety dosage data. intersection two strategies gives rise novel named 'Metronomics.' encapsulates benefits both MCT repurposing, leading reduced toxicity, oral administration, quality life, accelerated clinical implementation, enhanced affordability. Numerous studies endorsed efficacy with tolerable effects, underlining Metronomics better management, particularly low- middle-income countries. review underscores applications specifically breast cancer, showcasing promising results pre-clinical studies. However, we acknowledge necessity additional investigations definitively establish role conjunction treatments comprehensive

Language: Английский

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Anticancer Potential of Ampelopsis cantoniensis Extract: Inducing Apoptosis, Cell Cycle Arrest, and Targeting Cancer Stem Cells in HepG2 Liver Cancer Cells

Biocatalysis and Agricultural Biotechnology, Journal Year: 2025, Volume and Issue: unknown, P. 103521 - 103521

Published: Feb. 1, 2025

Language: Английский

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The Role of Hedgehog Signaling Pathway in Head and Neck Squamous Cell Carcinoma

Cells, Journal Year: 2023, Volume and Issue: 12(16), P. 2083 - 2083

Published: Aug. 17, 2023

Head and neck squamous cell carcinoma (HNSCC) is the sixth leading malignancy worldwide, with a poor prognosis limited treatment options. Molecularly targeted therapies for HNSCC are still lacking. However, recent reports provide novel insights about many molecular alterations in that may be useful future therapies. Therefore, it necessary to identify new biomarkers better prediction of disease promising targets personalized therapy. The response therapy attributed small population tumor cells called cancer stem (CSCs). Growing evidence indicates Hedgehog (HH) signaling pathway plays crucial role development maintenance head tissues. HH normally involved embryogenesis, renewal, tissue regeneration. abnormal activation also associated carcinogenesis CSC regulation. Overactivation was observed several tumors, including basal carcinoma, successfully treated inhibitors. clinical studies pathways rare. In this review, we summarize current knowledge advances regarding discuss its possible implications

Language: Английский

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GBM immunotherapy: Exploring molecular and clinical frontiers

Life Sciences, Journal Year: 2024, Volume and Issue: 356, P. 123018 - 123018

Published: Aug. 28, 2024

Language: Английский

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Quinazolines and thiazolidine-2,4-dions as SARS-CoV-2 inhibitors: repurposing, in silico molecular docking and dynamics simulation

RSC Advances, Journal Year: 2024, Volume and Issue: 14(19), P. 13237 - 13250

Published: Jan. 1, 2024

This paper presents an extensive analysis of COVID-19 with a specific focus on VEGFR-2 inhibitors as potential treatments.

Language: Английский

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Machine Learning Applications for Drug Repurposing

Published: June 19, 2024

Machine learning (ML) is revolutionizing drug repurposing, offering a more efficient, cost-effective approach to discovery by identifying new therapeutic uses for existing drugs. ML algorithms process large, complex biomedical datasets, find hidden patterns that reveal unexpected links between drugs and diseases, predict potential side effects. This advancement holds significant promise precision medicine personalized healthcare. chapter aims explore the growing role of in an emergent frontier identify drugs, thereby accelerating pace medical innovation while mitigating cost risk. The discusses various case studies, demonstrating application drug–disease connections predicting adverse reactions, significantly contributing medicine. In addition, investigates successes challenges encountered this nascent field, highlighting modernize discovery. Emphasis placed on ethical privacy concerns surrounding use patient data models, urging need robust regulations. comprehensive review serves as practical guide those at intersection pharmaceutical research, clinical practice, computer sciences, advocating synergetic these fields advancing

Language: Английский

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Truncated Arctangent Rank Minimization and Double-Strategy Neighborhood Constraint Graph Inference for Drug–Disease Association Prediction

Journal of Chemical Information and Modeling, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Accurately identifying new therapeutic uses for drugs is essential to advancing pharmaceutical research and development. Graph inference techniques have shown great promise in predicting drug–disease associations, offering both high convergence accuracy efficiency. However, most existing methods fail sufficiently address the issue of numerous missing information association networks. Moreover, are often constrained by local or single-directional reasoning. To overcome these limitations, we propose a novel approach, truncated arctangent rank minimization double-strategy neighborhood constraint graph (TARMDNGI), prediction. First, calculate Gaussian kernel Laplace similarities diseases, which then integrated using nonlinear fusion techniques. We introduce matrix completion technique, referred as TARM. TARM takes adjacency heterogeneous networks target enhances robustness formability edges DDA minimization. Additionally, method predict associations. This technique focuses on neighboring nodes filtering out potential noise from more distant nodes. Furthermore, DNGI employs top-down bottom-up strategies infer associations entire network. The synergy dual can enhance comprehensive processing complex structures cross-domain graphs, ensuring that rich network fully utilized. Experimental results consistently demonstrate TARMDNGI outperforms state-of-the-art models across two datasets, one lncRNA-disease dataset, microbe-disease dataset.

Language: Английский

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Unveiling the impact of CD133 on cell cycle regulation in radio- and chemo-resistance of cancer stem cells

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 6, 2025

The adaptation of malignancy to therapy presents a significant challenge in cancer treatment. cell cycle plays crucial role regulating the evolution radio- and chemo-resistance tumor cells. Cancer stem cells (CSCs) are primary source resistance, with CD133 being one most recognized valuable surface markers CSCs. Evidence increasingly suggests that is associated resistance. current understanding molecular biological function limited, leading ongoing debates about its biology. In this review, we explore recent research emerging trends related through extensive literature content analysis. It was summarized new insights into relationships signaling pathways resistant aim review provide foundational how these their interactions impact prognosis inform treatment strategies.

Language: Английский

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