Anti-Cancer Agents in Medicinal Chemistry (Formerly Current Medicinal Chemistry - Anti-Cancer Agents) - Volume 25, Issue 5, 2025

Liver and Breast cancer are ranked as the most prevailing cancers that cause high cancer-related mortality. As cancer is a life-threatening disease that affects the human population globally, there is a need to develop novel therapies. Among the available treatment options include radiotherapy, chemotherapy, surgery, and immunotherapy. The most superlative modern method is the use of plant-derived anticancer drugs that tar Read More

Oral Squamous Cell Carcinoma (OSCC) is the most common cancer arising from squamous epithelium in the oral cavity and is characterized by high aggressiveness and metastatic potential, which together with a late diagnosis results in a 5-year survival rate of only 50% of patients. The therapeutic options for OSCC management are limited and largely influenced by the cancer stage. While radical surgery can be curative Read More

BackgroundSince it was discovered that a natural polyether ionophore called salinomycin (SAL) selectively inhibits human cancer cells, the scientific world has been paying special attention to this compound. It has been studied for nearly 15 years.ObjectiveThus, a very interesting research direction is the chemical modification of SAL structure, which could give more biologically active agents.MethodsWe evaluated the antic Read More

BackgroundCancer is regarded as one of the main causes of death globally. Future predictions indicate that the death rate from cancer will keep rising, which may reach 11.4 million in 2030. Carcinogenesis refers to the phenomenon of transforming a normal cell into a cancer cell. Cancer is characterized by unregulated and uncontrolled cell division due to alterations at the molecular and genetic levels. Gene mutations can s Read More

ObjectiveThis study aimed to develop an effective model that identifies high-risk breast cancer (BRCA) patients and optimizes clinical treatments.MethodsThis study includes five public datasets, TCGA-BRCA as the training dataset and other cohorts as the validation datasets. Machine learning algorithms for finding key tumor-associated immune gene pairs (TAIGPs). These TAIGPs were used to construct tumor- Read More