1. Exploring Genetic Instability in Cancer

• Objective: Investigate the role of chromosomal instability in tumor progression and therapeutic resistance.
• Methods: Employ CRISPR-Cas9 gene-editing techniques to model genetic instability in cancer cell lines.
• Outcome: Identify key genetic drivers and potential therapeutic targets.

2. Signal Transduction Pathways in Tumorigenesis

• Objective: Analyze alterations in signaling pathways like PI3K/Akt/mTOR or MAPK in specific cancer types.
• Methods: Use fluorescence microscopy and proteomics to study pathway activity under different conditions.
• Outcome: Proposes pathway-specific inhibitors for personalized therapy.

3. Tumor Microenvironment and Immune Evasion

• Objective: Understand how cancer cells interact with their microenvironment to evade the immune response.
• Methods: Study cancer-immune cell interactions using 3D co-culture systems and cytokine profiling.
• Outcome: Develop strategies to enhance immune-based therapies.

4. Therapeutic Resistance Mechanisms in Cancer

• Objective: Investigate mechanisms of resistance to chemotherapy or targeted therapies in cancer cells.
• Methods: Use RNA-seq and single-cell analysis to profile resistant cancer cells.
• Outcome: Identify biomarkers and propose combination therapies to overcome resistance.

5. Advanced Imaging Techniques for Cancer Research

• Objective: Develop and validate fluorescence microscopy protocols to study live cancer cell behavior.
• Methods: Optimize imaging techniques to visualize cellular dynamics in real-time.
• Outcome: Provide quality-controlled methods for cancer research imaging.

6. Metabolic Reprogramming in Cancer

• Objective: Explore how cancer cells alter their metabolism to survive in hypoxic tumor microenvironments.
• Methods: Analyze metabolic profiles using metabolomics and hypoxia-inducible factor (HIF) studies.
• Outcome: Identify metabolic vulnerabilities for therapeutic intervention.