Recent studies have significantly advanced our understanding of the molecular mechanisms underlying glioblastoma progression and its genetic landscape. One pivotal study utilized genetic barcoding in mouse models to trace glioblastoma evolution, revealing unexpected clonal extinction events and divergent clonal sizes during early tumor development (ref: Ceresa doi.org/10.1016/j.ccell.2023.07.001/). This finding challenges the traditional view of tumor evolution, suggesting that clonal dynamics may play a critical role in glioblastoma's aggressive behavior. Additionally, a pan-cancer proteogenomics analysis highlighted the complex interplay between oncogenic drivers and functional states across various cancers, emphasizing how mutations and copy-number alterations can rewire protein interaction networks, ultimately converging towards similar molecular states characterized by specific kinase activity profiles (ref: Li doi.org/10.1016/j.cell.2023.07.014/). These insights not only deepen our understanding of glioblastoma but also suggest potential therapeutic targets that could be exploited in treatment strategies. Moreover, the exploration of genomic alterations in other cancers, such as non-small cell lung cancer (NSCLC), has revealed that concurrent genomic alterations, particularly the loss of CDKN2A/B, significantly increase the risk of brain metastases and correlate with poorer clinical outcomes (ref: Lara-Mejía doi.org/10.1016/j.jtho.2023.08.007/). This underscores the importance of understanding genetic backgrounds in glioblastoma and related malignancies, as they may inform prognosis and therapeutic approaches. Furthermore, the identification of breast cancer susceptibility genes through exome sequencing has provided insights into the contribution of rare coding variants to cancer risk, which could have implications for understanding glioblastoma susceptibility as well (ref: Wilcox doi.org/10.1038/s41588-023-01466-z/).