Human malignancies are one of the major health-related issues though out the world and anticipated to rise in the future. The development of novel drugs/agents requires a huge amount of cost and time that represents a major challenge for drug discovery. In the last three decades, the number of FDA approved drugs has dropped down and this led to increasing interest in drug reposition or repurposing. The present review focuses on recent concepts and therapeutic opportunities for the utilization of antidiabetics, antibiotics, antifungal, anti-inflammatory, antipsychotic, PDE inhibitors and estrogen receptor antagonist, Antabuse, antiparasitic and cardiovascular agents/drugs as an alternative approach against human malignancies. The repurposing of approved non-cancerous drugs is an effective strategy to develop new therapeutic options for the treatment of cancer patients at an affordable cost in clinics. In the current scenario, most of the countries throughout the globe are unable to meet the medical needs of cancer patients because of the high cost of the available cancerous drugs. Some of these drugs displayed potential anti-cancer activity in preclinic and clinical studies by regulating several key molecular mechanisms and oncogenic pathways in human malignancies. The emerging pieces of evidence indicate that repurposing of drugs is crucial to the faster and cheaper discovery of anti-cancerous drugs.
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http://dx.doi.org/10.1016/j.semcancer.2020.04.006 | DOI Listing |
PLoS One
December 2024
Department of Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Drug resistance of cancers remains a major obstacle due to limited therapeutics. Lysosome targeting is an effective method for overcoming drug resistance in cancer cells. St-N (ent-13-hydroxy-15-kaurene-19-acid N-methylpiperazine ethyl ester) is a novel alkaline stevioside derivative with an amine group.
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December 2024
Department of General Surgery, Cancer center, Division of Hepatobiliary and Pancreatic Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang Province, China.
Complex liver cancer is often difficult to expose or dissect, and the surgery is often challenging. 3D-printed models may realistically present 3D anatomical structure, which has certain value in planning and training of liver surgery. However, the existing 3D-printed models are all monolithic models, which are difficult to reuse and limited in clinical application.
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December 2024
Department of Water Resources, Climatology and Environmental Management, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.
Introduction: Lung cancer, one of the leading causes of death due to neoplasms, requires prompt diagnosis and immediate treatment. The COVID-19 pandemic affected healthcare systems worldwide, having adverse effects on all aspects, particularly on the fate of patients with suspected neoplastic diseases. Limited access to healthcare, disruptions in regular operations (reassigning roles to some wards), postponed hospital admissions, prolonged diagnostic processes, and other factors have collectively led to the phenomenon known as COVID-19 debt.
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December 2024
Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Zhejiang, Hangzhou, China.
Purpose: Approximately 20% of all breast cancer cases are classified as triple-negative breast cancer (TNBC), which represents the most challenging subtype due to its poor prognosis and high metastatic rate. Caffeic acid phenethyl ester (CAPE), the main component extracted from propolis, has been reported to exhibit anticancer activity across various tumor cell types. This study aimed to investigate the effects and mechanisms of CAPE on TNBC.
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December 2024
Servier, Research & Development, Gif-sur-Yvette, France.
Improving the selectivity and effectiveness of drugs represents a crucial issue for future therapeutic developments in immuno-oncology. Traditional bulk transcriptomics faces limitations in this context for the early phase of target discovery as resulting gene expression levels represent the average measure from multiple cell populations. Alternatively, single cell RNA sequencing can dive into unique cell populations transcriptome, facilitating the identification of specific targets.
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