Research advances in tumor diagnosis and early detection

Abstract

This review explores recent advances in tumor diagnosis and early detection, focusing on cutting-edge developments in molecular diagnostic technologies, imaging techniques, and the integration of multi-omics data. Current tumor diagnostic methods have limitations in terms of sensitivity and specificity, particularly for early tumor detection. However, with continuous progress in research and emerging technologies, especially the advent of liquid biopsy, which enables the detection of circulating tumor DNA (ctDNA), exosomes, and tumor-educated platelets (TEPs), the sensitivity and accuracy of early cancer detection have significantly improved. Moreover, the combined application of artificial intelligence and high-resolution imaging technology has enhanced the precision of diagnosis. Despite these advances, challenges, such as the high cost of technology and difficulties in data integration, continue to impede widespread clinical adoption. Therefore, I believe that future research should prioritize the innovation of these technologies to improve their applicability for early detection across various cancer types, ultimately contributing to the advancement of personalized therapy.