The overall 5-year survival rates of 8% [1] reflect the grim prognosis of patients with pancreatic ductal adenocarcinoma (PDA), which is at least partially explained by the unfruitful efforts to identify prognostic and predictive biomarkers toward tailored and optimized therapeutic interventions. Extensive heterogeneity at the level of molecular-signaling pathways [2,3], high metastatic capacity and significant therapeutic resistance suggest the need for a strategic shift to screening and early detection, as well as the development of more effective, novel systemictargeted therapies. This opinion article summarizes the potential of next-generation sequencing (NGS) and the emerging challenges in completing the catalog of cancer-driver genes (CDGs) for pancreatic cancer, detecting high-risk individuals through intensive screening and predicting drug response.Nevertheless, a recent, large-scale study by Bailey et al. [4], implementing whole-genome sequencing (WGS) and RNA sequencing (RNAseq) in an outstanding innovative design, has finally demonstrated significant clinical implications.The development of robust biomarkers is crucial to personalize and improve poor outcomes in patients with pancreatic cancer. However, no progress has been made in biomarker-based individualized preventive and therapeutic approaches, with 5-year survival rates remaining low, even in the early, localized disease stages [1].Despite the guidelines composed by national and international organizations prompting PDA patient enrollment in clinical trials, research has featured very slow progress in this area. More specifically, the lack of both effective targeted drugs and biomarkers-directed agents raises questions on whether a strategy of conventional clinical trial designs and traditional technology is able to alter the grim survival of PDA [5].The advent of NGS technologies about a decade ago and the development of umbrella and basket clinical trial designs integrating NGS [3] pave new avenues toward the precise biomarker-based prevention and treatment of pancreatic cancer. To this direction, recent large-scale genomic studies combining WGS and RNAseq have provided promising data and clinical implications on PDA prognosis and molecular classification [4,6].Precise prediction: an unmet clinical need Several environmental risk factors have been associated with pancreatic cancer. These include smoking, heavy alcohol consumption and chronic pancreatitis, exposure to specific chemicals and heavy metals, increased BMI and decreased physical activity, increased consumption of red and processed meat and dairy products, hepatitis B infection, diabetes mellitus, prediabetes, insulin and sulfonylureas [5]. It is worth noting that PDA patients with diabetes have a lower overall survival, compared with nondiabetics [7].Apart from the environmental effect on pancreatic tumorigenesis, pancreatic cancer has a familial component in 10% of cases and familial PDA excess, as well as earlier onset, increases the risk of cancer [8]. Nevertheless,