Pan-Cancer Analysis

Pan-Cancer Analysis aims to examine the similarities and differences among the genomic and cellular alterations found across diverse tumor types.[1][2] The Cancer Genome Atlas (TCGA) Research Network has developed an integrated picture of commonalities, differences and emergent themes across tumor types. A dozen papers about Pan-Cancer have been published in outstanding peer-review journals, such as Nature, Cell, Nature Genetics, etc. Nature created a focus on TCGA Pan-Cancer Analysis.

Resources and Databases

Pan-Cancer analysis of RNA-Binding Proteins[3] across Human Cancers also were constructed to explore the expression, somatic copy number alteration (SCNA), 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 (NSUN6, ZC3H13, BYSL, ELAC1, RBMS3, and ZGPAT) in colorectal and liver cancer cell lines by using functional experiments.

Recently,Pan-Cancer resources [4] were created for the Networks Of lncRNAs, microRNAs, CeRNAs And RNA-Binding Proteins(RBPs)].

References:

  1. ↑ Cancer Genome Atlas Research, Network; Weinstein, JN; Collisson, EA; Mills, GB; Shaw, KR; Ozenberger, BA; Ellrott, K; Shmulevich, I; Sander, C; Stuart, JM (Oct 2013). "The Cancer Genome Atlas Pan-Cancer analysis project". Nature Genetics. 45 (10): 1113–20. doi:10.1038/ng.2764. PMC 3919969. PMID 24071849.
  2. ↑ Omberg, L; Ellrott, K; Yuan, Y; Kandoth, C; Wong, C; Kellen, MR; Friend, SH; Stuart, J; Liang, H; Margolin, AA (Oct 2013). "Enabling transparent and collaborative computational analysis of 12 tumor types within The Cancer Genome Atlas". Nature Genetics. 45 (10): 1121–6. doi:10.1038/ng.2761. PMC 3950337. PMID 24071850.
  3. ↑ Wang, ZL; Li, B; Luo, YX; Lin, Q; Liu, SR; Zhang, XQ; Zhou, H; Yang, JH; Qu, LH (2 January 2018). "Comprehensive Genomic Characterization of RNA-Binding Proteins across Human Cancers". Cell Reports. 22 (1): 286–298. doi:10.1016/j.celrep.2017.12.035. PMID 29298429.
  4. ↑ Li, JH; Liu, S; Zhou, H; Qu, LH; Yang, JH (January 2014). "starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein-RNA interaction networks from large-scale CLIP-Seq data". Nucleic Acids Research. 42 (Database issue): D92–7. doi:10.1093/nar/gkt1248. PMC 3964941. PMID 24297251.
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