Recent advancements in integrated diagnostics in oncology have highlighted the importance of comprehensive biomarker profiling to improve treatment outcomes. A study analyzing a large dataset of head and neck squamous-cell carcinoma (HNSCC) patients demonstrated that tumor and blood B-cell abundance significantly outperformed traditional immune checkpoint blockade (ICB) response prediction signatures. This analysis included 1232 patient samples across 11 clinical cohorts, emphasizing the need for robust biomarkers to select patients for immunotherapy (ref: Chang doi.org/10.1016/j.annonc.2024.11.008/). Additionally, the Atlas of the plasma proteome in over 53,000 adults provided a detailed mapping of 2,920 plasma proteins associated with various diseases and health traits, revealing over 168,000 protein-disease associations. This comprehensive resource is pivotal for precision medicine, linking proteomic data to clinical outcomes (ref: Deng doi.org/10.1016/j.cell.2024.10.045/). Furthermore, a longitudinal study on IDH-wildtype glioblastoma explored the molecular evolution and cellular phenotypes that contribute to varied treatment responses, underscoring the complexity of tumor biology and the necessity for tailored therapeutic strategies (ref: Lucas doi.org/10.1093/neuonc/).