Modern cancer care is increasingly focused on delivering treatments tailored to individual patient profiles, moving beyond the one-size-fits-all approach of traditional therapies. Central to this evolution is the role of Precision Oncology & Biomarkers, which enable clinicians to identify molecular signatures, genetic mutations, and protein expressions that drive tumor growth. By analyzing these biomarkers, oncologists can select therapies most likely to be effective for a specific patient while minimizing unnecessary side effects. Advances in next-generation sequencing, liquid biopsies, and molecular diagnostics have dramatically improved the ability to detect actionable targets, monitor treatment response, and predict disease progression. These tools empower personalized treatment strategies, allowing interventions to be adapted in real-time based on the unique biology of each patient’s cancer.
The impact of Precision Oncology & Biomarkers extends beyond therapy selection to early detection and prognosis assessment. Biomarker-driven clinical trials are enabling the development of novel targeted therapies, immunotherapies, and combination regimens designed to exploit tumor vulnerabilities. By integrating biomarker data with advanced imaging and computational modeling, clinicians can optimize treatment plans, reduce trial-and-error prescribing, and improve overall patient outcomes. As research continues to uncover new predictive and prognostic markers, precision oncology promises to transform cancer care, making therapies more individualized, effective, and durable. The strategic use of biomarkers ensures that treatment is guided by the molecular and genetic characteristics of each tumor, offering hope for improved survival and quality of life.
Title : A novel blood-based mRNA genomics technology for cancer diagnosis and treatment
Rajvir Dahiya, University of California San Francisco, United States
Title : Integrating single-cell and spatial transcriptomics to uncover and elucidate GP73-mediated pro-angiogenic regulatory networks in hepatocellular carcinoma
Jiazhou Ye, Guangxi Medical University Cancer Hospital, China
Title : Unveiling the synergism of radiofrequency therapy and graphene nanocomposite in tumor cell viability assay
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Spatial multi-omics inference of diabetes-triggered pancreatic cancer growth: The key role of cholesterol-induced neutrophil extracellular
Guanqun Li, The First Affiliated Hospital of Harbin Medical University, China
Title : Analysis of the dynamic evolution and influencing factors of nutritional risk in breast cancer patients during treatment
Jingwen Yan, Sun Yat-sen University, China
Title : Multiplexed biosensor detection of cancer biomarkers
Michael Thompson, University of Toronto, Canada