[New Approaches for Chemosensitivity Testing in Malignant Diseases].

Area of Science:

• Oncology
• Pharmacology
• Biomedical Engineering

Background:

• Chemotherapy is vital for cancer treatment, but patient variability and tumor heterogeneity complicate treatment selection.
• Current treatment decisions rely on classical criteria (tumor size, grade, markers), which are insufficient for personalized therapy.
• Improved prediction of drug efficacy and reduced side effects necessitate better models for assessing chemosensitivity.

Purpose of the Study:

• To provide an overview of current and historical chemosensitivity tests.
• To compare the utility of 2D and 3D cell culture models in predicting drug response.
• To highlight the advancements and clinical application of in vivo systems for therapy prediction.

Main Methods:

• Review of existing literature on chemosensitivity assays.
• Comparative analysis of 2D and 3D cell culture models for drug screening.
• Evaluation of in vivo models and their role in clinical trials for personalized medicine.

Main Results:

• Various chemosensitivity tests exist, with increasing focus on 3D cell cultures and advanced in vivo models.
• These models offer improved prediction of patient response compared to traditional methods.
• In vivo systems are showing promise in clinical trials for guiding personalized therapy.

Conclusions:

• Chemosensitivity tests are crucial for informed clinical decision-making and patient stratification.
• Advanced biological models, including 3D cultures and in vivo systems, enhance personalized therapy development.
• Optimizing chemosensitivity testing improves patient outcomes and advances targeted cancer treatment.