Decoding cancer insights: recent progress and strategies in proteomics for biomarker discovery

Proteomics has emerged as a vital discipline within the realm of molecular sciences, offering valuable insights into protein identities, expression levels, and modifications. Notably, in the domain of cancer research, proteomics has played a pivotal role in unravelling intricate mechanistic details concerning tumour growth and metastasis. These revelations have significantly contributed to the discovery of clinically relevant biomarkers and potential therapeutic targets. The establishment of numerous cancer proteome databases on a global scale underscores the collaborative nature of this field. Furthermore, the integration of proteomics with other ‘omics’ disciplines has yielded a wealth of data pertaining to molecular mechanisms and factors that regulate targets. These data sets are amenable to analysis and interpretation through sophisticated bioinformatic pipelines. The primary objective of this comprehensive review is to furnish an all-encompassing overview of the landscape of cancer proteomics, highlighting recent strides in proteomic methodologies. Particularly, the review seeks to provide a nuanced understanding of ongoing proteomics investigations concerning brain cancer—a domain where proteomic applications are in their nascent stages. The scope of this review encompasses the entire spectrum of proteomics applications, ranging from the initial discovery of biomarkers to the intricate characterization of molecular mechanisms, which has been made feasible by the advancement of cutting-edge technologies. Moreover, the review delves into the prevailing trends in proteomics strategies for translational research, serving as an indispensable cornerstone of this critical research paradigm. It is anticipated that the continued evolution of proteomics will yield insights of unprecedented magnitude, transcending previous boundaries. This dynamic field stands poised to revolutionize our understanding of complex biological processes, thereby furnishing invaluable information for translational applications that extend far beyond current horizons.