AIMC Topic: Cell Line, Tumor

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Predictive modeling of flavonoid efficacy against esophageal carcinoma: a comprehensive approach.

Scientific reports
Esophageal carcinoma poses a significant health challenge, particularly due to its notably high prevalence in East Asia, which underscores the urgent need for innovative treatment strategies. Natural flavonoids are polyphenolic compounds with signifi...

Selective cytotoxicity of anhydroicaritin in ER-positive breast cancer via ESR1-mediated MAPK and apoptotic signaling.

Chemico-biological interactions
Anhydroicaritin (AHI), a chemically characterized prenylated flavonoid, exhibits strong and selective cytotoxicity against estrogen receptor-positive (ER+) breast cancer cells. In this study, we aimed to elucidate its molecular and cellular toxicolog...

Targeted inhibition of gastric adenocarcinoma by nano-curcumin liposomes: Insights from combined machine learning and experimental analyses into the mechanisms of cuproptosis and metabolic reprogramming.

International journal of pharmaceutics
PURPOSE: Gastric adenocarcinoma is a highly aggressive malignancy characterized by a complex tumor microenvironment. Nano-curcumin liposomes hold great potential in inhibiting tumor growth and survival, as well as inducing cuproptosis and oxidative s...

Synergistic approach utilizing bioinformatics, machine learning, and traditional screening for the identification of novel CSK inhibitors targeting hepatocellular carcinoma.

Journal of computer-aided molecular design
The overexpression or activation of C-terminal Src kinase (CSK) has been recognized as a pivotal factor in the progression of hepatocellular carcinoma (HCC), positioning CSK as a promising therapeutic target. Despite this potential, no CSK-specific i...

Drug repurposing identifies novel Wee1 kinase inhibitors for triple negative breast cancer therapeutics.

European journal of medicinal chemistry
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited treatment options. Wee1 kinase, a critical regulator of the G2/M checkpoint and DNA replication, is a promising therapeutic target. However, dose dependent as...

Multi-modal single-cell platform for nanoparticle-enhanced time-series metabolic profiles of CD8 T cell exhaustion in tumor immunosurveillance.

Journal of nanobiotechnology
Cytotoxic T cells (CD8) play a pivotal role in immunosurveillance by identifying and eliminating tumor cells. However, the onset of CD8 T cell exhaustion, characterized by overexpression of immune checkpoint receptors, impairs their function, allowin...

Evaluation of (Z)-endoxifen as a potential therapy for glioblastoma multiforme through computational and experimental analyses.

Scientific reports
(Z)-endoxifen (endoxifen) is the active metabolite of tamoxifen. Endoxifen is a potent antiestrogen that binds and blocks estrogen receptor alpha (ERα) and estrogen receptor beta (ERβ). Early-phase clinical trials have shown that endoxifen has promis...

ClairS-TO: a deep-learning method for long-read tumor-only somatic small variant calling.

Nature communications
Accurate detection of somatic variants in tumors is of critical importance and remains challenging. Current methods typically require matched normal samples for reliable detection, which are often unavailable in real-world research and clinical scena...

Evaluation of antioxidant, anticholinesterase and antiproliferative potential of Artemisia herba-alba by artificial intelligence-assisted extraction optimization.

Scientific reports
In this study, in order to maximize the biological activity of Artemisia herba-alba Asso, extraction conditions were optimized by two different methods: Response Surface Methodology (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA). A to...