The Cancer Genome Atlas: Creating Lasting Value beyond Its Data.

By C. Hutter, J. Zenklusen. Cell, 2018

735 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/18d22236649eed18750159f83727bd8037b9fbca

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cancer Research

1. W.J. Greenleaf
2. Rodney Hull
3. F. Francies
4. Zodwa Dlamini
5. R. Marima
6. Ansuman T. Satpathy
7. Edward L. Giovannucci
8. Tiago C. Silva

In Molecular Biology

1. W.J. Greenleaf
2. Wanding Zhou
3. M. Corces
4. Howard Y. Chang
5. Ansuman T. Satpathy
6. Rodney Hull
7. F. Francies
8. Zodwa Dlamini

Citations in the corpus

• The World Cancer Research Fund/American Institute for Cancer Research Third Expert Report on Diet, Nutrition, Physical Activity, and Cancer: Impact and Future Directions. (2019, background): “In due course, subtypes of cancer based on the genomic and epigenetic landscape (30) will be integrated into our epidemiologic efforts.”
• Artificial intelligence (AI) and big data in cancer and precision oncology (2020, methodology): “…the TCGA project was to enhance precision oncology with accurate knowledge about the molecular landscape of these cancers, this included pathogenesis of cancers, classification of tumour subtypes based on molecular modifications and identifying therapeutic targets to drive drug development [31,32].”
• The chromatin accessibility landscape of primary human cancers (2018, background): “The Cancer Genome Atlas (TCGA) was established to characterize this heterogeneity and understand the molecular underpinnings of cancer (1).”
• 15 years of PhosphoSitePlus®: integrating post-translationally modified sites, disease variants and isoforms (2018, methodology): “A link has been added in the ‘Crossreferences’ section of the Protein Information page to the cBioPortal for Cancer Genomics (cbioportal.org) (14,15), a resource enabling users to visualize and analyze large-scale cancer genomics datasets from sources including the TCGA Research Network (cancergenom”
• New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx (2019, background): “which recently culminated in 27 original publications from the Pan-Cancer TCGA initiative [11].”