The Pathology Atlas provides the analysis of 17 major cancer types using data from 8,000 patients together with 5 million pathology-based images generated in-house. More than 2.5 petabytes of RNA-seq data from The Cancer Genome Atlas (TCGA) were analyzed, describing the effects of RNA and protein levels on clinical survival. Survival Scatter plots, representing a new method for showing patient survival data, were introduced.
Other selected publications
Larsson AH et al., Significant association and synergistic adverse prognostic effect of podocalyxin-like protein and epidermal growth factor receptor expression in colorectal cancer. J Transl Med. (2016)
PubMed: 27160084 DOI: 10.1186/s12967-016-0882-0
Glimelius B et al., U-CAN: a prospective longitudinal collection of biomaterials and clinical information from adult cancer patients in Sweden. Acta Oncol. (2017)
PubMed: 28631533 DOI: 10.1080/0284186X.2017.1337926
Casar-Borota O et al., Immunohistochemistry for transcription factor T-Pit as a tool in diagnostics of corticotroph pituitary tumours. Pituitary. (2018)
PubMed: 29468382 DOI: 10.1007/s11102-018-0879-1
Lee S et al., TCSBN: a database of tissue and cancer specific biological networks. Nucleic Acids Res. (2018)
PubMed: 29069445 DOI: 10.1093/nar/gkx994
Figure legend: Analysis of the global expression patterns of protein-coding genes in human cancers.
- Analysis of the transcriptome in 17 major cancer types from 8,000 patients was performed
- A new concept for visualizing survival data was published: Survival Scatter plots
- More than 900,000 Survival Scatter plots are shown, covering more than 10,000 genes