Emerging trends and converging evidence in tumor evolution: A comprehensive review - PubMed
4 hours ago
- #personalized-oncology
- #tumor-evolution
- #cancer-research
- Tumor evolution is driven by genetic mutations, epigenetic changes, and microenvironment interactions.
- Different models (linear, branched, neutral, parallel) explain tumor diversity but are context-dependent.
- Somatic mutations and epigenetic dysregulation contribute to tumor heterogeneity and plasticity.
- Non-coding RNAs play a key role in oncogenic signaling, metastasis, and immune suppression.
- The tumor microenvironment actively shapes evolution through hypoxia, lactate, and neural interactions.
- Treatment pressures select resistant clones, leading to cross-resistance via shared pathways.
- Emerging technologies (single-cell sequencing, spatial multi-omics, liquid biopsies) help decode tumor heterogeneity.
- Future strategies should target both cancer cell hallmarks and tumor ecosystem dynamics.
- AI and longitudinal biomarker profiling could enhance personalized oncology approaches.