Recent advancements in integrated diagnostics for oncology have highlighted the potential of non-invasive methods for cancer detection and treatment monitoring. A study analyzing whole-genome sequencing data from 2,511 individuals in the Pan-Cancer Analysis of Whole Genomes (PCAWG) revealed distinct mutation profiles in cell-free DNA that correlate with tumor characteristics, achieving over 90% detection rates for early-stage lung cancer using a machine-learning model (ref: Bruhm doi.org/10.1038/s41588-023-01446-3/). Furthermore, the PERICLES study assessed the efficacy of atezolizumab, an anti-PD-L1 therapy, in advanced penile squamous cell carcinoma, demonstrating the importance of integrating immunotherapy with radiotherapy to improve patient outcomes (ref: de Vries doi.org/10.1200/JCO.22.02894/). In addition, a phase II trial on pembrolizumab combined with lenvatinib for advanced non-clear-cell renal cell carcinoma showed promising antitumor activity, indicating the need for further exploration of immunotherapy combinations in various cancer types (ref: Albiges doi.org/10.1016/S1470-2045(23)00276-0/). The integration of clinical and molecular data, as seen in the analysis of colorectal liver metastases, emphasizes the role of biomarker profiling in tailoring treatment strategies (ref: Katipally doi.org/10.1001/jamaoncol.2023.2535/).