Pan-cancer and multiomics: advanced strategies for diagnosis, prognosis, and therapy in the complex genetic and molecular universe of cancer

Abstract

The pan-cancer and multi-omics approach is motivated by the genetic and molecular complexity inherent in the varied types of cancer. This method presents itself as a crucial resource for advancing early diagnosis, defining prognoses and identifying treatments that share common bases between different forms of tumors. The aim of this article is to explore pan-cancer analysis in conjunction with multi-omics strategies, evaluating laboratory, computational, clinical procedures and their consequences, as well as examining the tumor microenvironment, epigenetics and future directions of these technologies in patient management. To this end, a literature review was conducted using PUBMED, resulting in the selection of 260 articles, of which 81 were carefully chosen to support this analysis. The pan-cancer methodology is applied to the study of this microenvironment with the aim of investigating its common characteristics through multiomics data. The development of new therapies depends on understanding the oncogenic pathways associated with different cancers. Thus, the integration of multi-omics and pan-cancer analyzes offers an innovative perspective in the search for new control points, metabolic pathways and markers, in addition to facilitating the identification of patterns common to multiple cancer types, allowing the development of targeted treatments. In this way, the convergence of multiomics and clinical approaches promotes a broad view of cancer biology, leading to more effective and personalized therapies.

Keywords: Biomarkers; Multi-omics; Pan-cancer; Treatment.