Review
Oncology
Luuk J. Schipper, Laurien J. Zeverijn, Mathew J. Garnett, Emile E. Voest
Summary: New insights in cancer diagnostics, genomic profiling, and cancer behavior have increased the demand for personalized cancer treatments. As developing new cancer drugs is challenging, expensive, and time-consuming, drug repurposing is seen as an attractive alternative to accelerate this process. This review describes strategies for repurposing anticancer agents, translating preclinical findings into novel trial designs, and the associated challenges. Furthermore, suggestions are provided for further utilizing the potential of drug repurposing in precision oncology, particularly through combinatorial approaches.
Review
Oncology
Dimitra Mavridou, Konstantina Psatha, Michalis Aivaliotis
Summary: Despite ongoing efforts, the understanding of CLL molecular pathobiology, diagnosis, prognosis, and treatment remains unclear. Proteomics combined with advanced bioinformatics and drug repurposing show promise in unraveling the complex proteome heterogeneity of CLL patients. The goal is to explore individual molecular characteristics, utilize proteomics for effective therapeutic options, and integrate drug repurposing in precision medicine for better treatment outcomes.
Review
Multidisciplinary Sciences
Ningna Weng, Zhe Zhang, Yunhan Tan, Xiaoyue Zhang, Xiawei Wei, Qing Zhu
Summary: This article summarizes the background, aim, and key scientific concepts of repurposing antifungal drugs for cancer therapy, and discusses the challenges and perspectives for their future development and clinical applications.
JOURNAL OF ADVANCED RESEARCH
(2023)
Review
Oncology
Zainab Sabry Othman Ahmed, Matthew Golovoy, Yassen Abdullah, Reda Saber Ibrahim Ahmed, Q. Ping Dou
Summary: Metformin, originally a diabetes medication, has demonstrated potential anticancer effects by synergizing with existing chemotherapeutics to reduce dosage and adverse effects. Numerous patents have been filed claiming various combination therapies and delivery methods for cancer treatment, reflecting a growing interest in metformin's anticancer potential. While preclinical studies and early phase clinical trials support its antitumor properties, further research, especially late phase clinical trials involving non-diabetic cancer patients, is needed for validation.
RECENT PATENTS ON ANTI-CANCER DRUG DISCOVERY
(2021)
Article
Multidisciplinary Sciences
Xin Liu, Ye Zhang, Lucas D. Ward, Qinghong Yan, Tanggis Bohnuud, Rocio Hernandez, Socheata Lao, Jing Yuan, Fan Fan
Summary: A proteomics-based platform was developed to assess the abundance of off-target proteins, with 2813 proteins selected as the off-target proteome (SOTP) based on genetics and pharmacology evidence. Mass spectrometry was then used to identify 1828 proteins from the SOTP in 4 human cell lines.
SCIENTIFIC REPORTS
(2021)
Article
Environmental Sciences
Mohan Rao, Eric McDuffie, Clifford Sachs
Summary: The study introduces a computational approach for repurposing small molecule drugs by combining AI/ML-based and chemical similarity-based target prediction methods. The method identifies potential off-target interactions and structurally similar compounds, leading to insights for potential drug repurposing and new therapeutic applications. The confirmation of numerous predicted interactions and exploration of tissue-specific expression patterns provide valuable insights.
Article
Pharmacology & Pharmacy
Tianduanyi Wang, Otto I. Pulkkinen, Tero Aittokallio
Summary: Most drug molecules have the ability to modulate multiple target proteins, which can lead to both therapeutic effects and unwanted side effects. Evaluating the selectivity of a compound is an important factor in drug development and repurposing efforts. Traditional methods for characterizing selectivity fall short in quantifying how selective a compound is against a particular target protein. In this study, we propose an optimization-based selectivity scoring method that allows for the identification of potent and selective compounds against given kinase targets. We demonstrate the effectiveness of this method in finding highly selective compounds in computational experiments using a large-scale kinase inhibitor dataset.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Clinical Neurology
Giovanni Oliveros, Charles H. Wallace, Osama Chaudry, Qiao Liu, Yue Qiu, Lei Xie, Patricia Rockwell, Maria E. Figueiredo-Pereira, Peter A. Serrano
Summary: Using multiscale predictive modelling, researchers have identified the multi-target asthma drug ibudilast as a potential repurposed treatment for Alzheimer's disease. Experimental results in a transgenic rat model showed that ibudilast reduced inflammation, plaque and tangle pathology, as well as cognitive deficits. These findings suggest that ibudilast could be an effective treatment option for Alzheimer's disease by targeting multiple pathways.
Article
Biochemistry & Molecular Biology
Trishna Saha Detroja, Rajesh Detroja, Sumit Mukherjee, Abraham O. Samson
Summary: Breast cancer is a major cause of illness and death in women worldwide. This study aimed to identify the key genes associated with neoadjuvant chemotherapy resistance in breast cancer and explore potential FDA-approved drugs for overcoming drug resistance.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Biology
Onat Kadioglu, Faranak Bahramimehr, Mona Dawood, Nuha Mahmoud, Mohamed Elbadawi, Xiaohua Lu, Yagmur Buelbuel, Jana Agnieszka Schulz, Lisa Kraemer, Marie-Kathrin Urschel, Zoe Kuenzli, Leila Abdulrahman, Fadwa Aboumaachar, Lajien Kadalo, Le Van Nguyen, Sara Shaidaei, Nawal Thaher, Kathrin Walter, Karolin Christiane Besler, Andreas Spuller, Markus Munder, Henry Johannes Greten, Thomas Efferth
Summary: RNA-sequencing is utilized to develop individualized therapy concepts for cancer patients based on their tumor-specific mutational profiles. In this study, drugs and inhibitors were identified through virtual drug screening of FDA-approved drugs and mining the Drug Gene Interaction (DGI) database for missense mutated proteins in 35 tumors. The approach offers new treatment options for patients with refractory tumors that do not respond to standard chemotherapy.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Review
Oncology
Talal El Zarif, Marcel Yibirin, Diana De Oliveira-Gomes, Marc Machaalani, Rashad Nawfal, Gianfranco Bittar, Hisham F. Bahmad, Nizar Bitar
Summary: Despite advances in screening and therapy for colorectal cancer (CRC), survival rates remain low. Drug repurposing offers a cost-effective solution for finding new uses for approved drugs in the treatment of CRC. This review summarizes the current data supporting drug repurposing as a feasible option for CRC patients, focusing on evidence and mechanisms of action for repurposed drugs such as anti-malarial, anti-helminthic, anti-inflammatory, anti-hypertensive, anti-hyperlipidemic, and anti-diabetic agents.
Article
Chemistry, Multidisciplinary
Jisoo Kim, Jungmin Kim, Ge Gao, Yoo-mi Choi, Jaewook Kim, Dong-Woo Cho, Jae-Ho Cheong, Jinah Jang
Summary: The study presents a vascularized organoid model that accurately predicts the clinical response of gastric cancer patients to targeted therapy. This model reproduces patient treatment outcomes and provides a valuable platform for personalized testing and drug discovery.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Review
Oncology
Rille Pihlak, Caroline Fong, Naureen Starling
Summary: Stomach cancer is an aggressive disease with poor survival outcomes, but in the past two decades, clinical research has made significant progress in understanding targets and potential targeted treatments for advanced stomach cancer. This article summarizes the recent advancements in targeted therapies and precision medicine in gastric cancer and discusses new potential treatments.
Editorial Material
Oncology
Maheetha Bharadwaj, Mounica Vallurupalli, Franklin W. Huang
Summary: The article calls for improving access to precision oncology therapies in lower- and middle-income countries, highlighting lack of diagnostic ability, trained providers, and drug availability as significant barriers to cancer care delivery. It draws upon lessons from international efforts in oncology and infectious disease to make this urgent call to action.
Article
Plant Sciences
Xiaoqian Huo, Yu Gu, Yanling Zhang
Summary: The study proposed a framework called Traditional Chinese medicine target-effect relationship spectrum (TCM-TERS) for multi-target compound screening, which provided a flexible method for drug discovery in TCM research.
JOURNAL OF ETHNOPHARMACOLOGY
(2022)
Article
Chemistry, Medicinal
Yi Liao, Xiaojia Niu, Bailing Chen, Holly Edwards, Liping Xu, Chengzhi Xie, Hai Lin, Lisa Polin, Jeffrey W. Taub, Yubin Ge, Zhihui Qin
JOURNAL OF MEDICINAL CHEMISTRY
(2016)
Article
Chemistry, Medicinal
Yi Liao, Liping Xu, Siyu Ou, Holly Edwards, Daniel Luedtke, Yubin Ge, Zhihui Qin
ACS MEDICINAL CHEMISTRY LETTERS
(2018)
Article
Biochemistry & Molecular Biology
Yi Liao, Sean Chin Chan, Eric A. Welsh, Bin Fang, Luxin Sun, Ernst Schonbrunn, John M. Koomen, Derek R. Duckett, Eric B. Haura, Andrii Monastyrskyi, Uwe Rix
Summary: In this study, a novel panel of fragment-based probes was designed and a target prioritization scheme with improved stringency was developed, allowing for the identification of unique target candidates, such as GSTZ1, in refractory lung cancer.
ACS CHEMICAL BIOLOGY
(2023)