Transforming brain cancer biomarker research with patinformatics and SWOT analysis

Abstract

Brain cancer heterogeneity imposes significant challenges in diagnosis, causing high mortality. The lack of timely diagnosis intensifies these challenges, underscoring the need for improved diagnostics. Recent advancements in biomarker discovery have led to biomarker detection at ultra-low concentrations via multiplexing with biosensors, offering a promising avenue for the timely detection of brain cancer. Serving as a comprehensive resource, this review highlights the crucial role of primary biomarkers in brain cancer diagnosis via integration of patinformatics and SWOT analysis, thereby facilitating timely diagnosis and informed decision making. Furthermore, we aim to outline recent advances in brain cancer prognostics and management strategies, ultimately improving patient outcomes.