Pan-Cancer Analysis aims to examine the similarities and differences among the genomic and cellular alterations found across diverse tumor types. International efforts have performed pan-cancer analysis on exomes and on the whole genomes of cancers including its non-coding regions. The Cancer Genome AtlasResearch Network, in 2018, used exome, transcriptome, and DNA methylome data to develop an integrated picture of commonalities, differences and emergent themes across tumor types . In 2020, the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes project published 23 papers, analysing whole cancer genomes and transcriptomic data from 38 tumor types . A comprehensive overview of the project is provided in its flagship paper. Pan-Cancer analysis of RNA-Binding Proteins across Human Cancers also were constructed to explore the expression, somatic copy number alteration, and mutation profiles of 1,542 RBPs in ∼7,000 clinical specimens across 15 cancer types. Pan-cancer analysis of RNA-Binding proteins revealed the oncogenic property of six RBPs in colorectal and liver cancer cell lines by using functional experiments. Several studies have proven that there is a causal, predictable connection between genomic alterations and gene expression across all tumor types. This pan-cancer relationship between genomic status and transcriptomic quantititative data is generally valid and it can be used as the basis for machine learning approaches, to predict the presence of a specific genomic alteration from gene expression profiles alone.
Pan-Cancer studies aim to locate the conductive genes precisely, as well as recurrent genomic events or aberrations between different types of tumors. For these studies it is necessary to standardize the data between multiple platforms establishing criteria between different groups of researchers to work on the data and present the results. Omics data allow the identification and quantification of thousands of molecules in a single experiment, in a short space of time. Genomics gives information about what happened, that is, the potentiality that something may occur, proteomics of what is happening and metabolomics of what has happened. The genes contain information that something could potentially occur. The proteins give information of what happens now in a tissue that is being studied, are those that exert the functions, and the metabolites arise as a consequence of the functions of the proteins. The combination of all of them gives information about biology systems.