AIMC Topic: Molecular Targeted Therapy

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LAC-TME classifier: machine learning-driven model predicts survival and prioritizes targeted therapy in clear cell renal cell carcinoma.

Journal of cancer research and clinical oncology
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is a major type of kidney cancer, making up about 80% of cases, with advanced stages showing low survival rates. Current treatments face challenges like toxicity and drug resistance. Studies indicat...

Proteomics-Driven Cancer Biomarkers for Early Detection and Targeted Therapy: Insights from the Middle East.

Journal of proteome research
Proteomics has become a transformative tool in oncology, offering unique opportunities for early detection, diagnosis, and cancer stratification. By enabling large-scale analysis of protein expression, interactions, and post-translational modificatio...

A Novel Palmitoylation-Related Molecular Signature for Predicting and Therapeutically Targeting Alzheimer's Disease.

Molecular neurobiology
Alzheimer's disease (AD) is a prevalent neurodegenerative disorder characterized by amyloid-beta (Aβ) plaques and hyperphosphorylated tau pathology. Although palmitoylation has been implicated in AD, its specific mechanisms remain poorly defined. To ...

Multi-omics integrated analysis identifies causal risk factors and therapeutic targets for diabetic retinopathy.

Journal of translational medicine
BACKGROUND: Diabetic retinopathy (DR) is the main cause of blindness worldwide, and its prevalence rate is constantly rising. More in-depth exploration of its risk factors and pathogenic mechanisms is needed.

Integrating AI and RNA biomarkers in cancer: advances in diagnostics and targeted therapies.

Cell communication and signaling : CCS
Early detection and personalized treatment strategies are essential for enhancing patient outcomes, as cancer continues to be a significant cause of mortality on a global basis. In clinical practice, the identification and validation of reliable biom...

Advancements in lung cancer: molecular insights, innovative therapies, and future prospects.

Medical oncology (Northwood, London, England)
Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and death. Thanks to late-stage diagnosis, tumor heterogeneity, and resistance to traditional treatments, the prognosis for lung cancer patients is still poo...

Uncovering key markers and therapeutic targets for renal fibrosis in diabetic kidney disease through bulk and single-cell RNA sequencing.

Journal of translational medicine
BACKGROUND: Diabetic kidney disease (DKD) is the major cause of chronic kidney failure, with tubulointerstitial fibrosis playing a crucial role in disease development. Identifying fibrosis-related genes is crucial for improving diagnosis and developi...

Advances in molecular pathology and therapy of non-small cell lung cancer.

Signal transduction and targeted therapy
Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements in basic and clinical research. However, substantial unmet needs remain for patients worldwide, as drug resistance persists as an inevitable reality....

The latest advances with natural products in drug discovery and opportunities for the future: a 2025 update.

Expert opinion on drug discovery
INTRODUCTION: The landscape of drug discovery is rapidly evolving, with natural products (NPs) playing a pivotal role in the development of novel therapeutics. Despite their historical significance, challenges persist in fully harnessing their potent...