The NCI-60 Methylome and Its Integration into CellMiner

William C Reinhold1, Sudhir Varma2,3,4, Margot Sunshine2,3

  • 1Developmental Therapeutics Branch, Center for Cancer Research, NCI, NIH, Bethesda, Maryland. wcr@mail.nih.gov pommier@nih.gov.

Cancer Research
|December 8, 2016
PubMed

Insights

The NCI-60 cancer cell line panel now includes a comprehensive DNA methylation database, revealing gene methylation patterns and their links to cancer drug responses. This resource aids in identifying new cancer drugs and therapeutic strategies.

Area of Science:

  • Genomics
  • Systems Pharmacology
  • Cancer Biology

Background:

  • The NCI-60 cancer cell line panel is a vital resource for drug discovery, offering extensive compound and genomic data.
  • Existing data lacked comprehensive genome-wide DNA methylation profiles for the NCI-60 panel.

Purpose of the Study:

  • To establish the first readily usable genome-wide DNA methylation database for the NCI-60 cancer cell line panel.
  • To integrate DNA methylation data with existing genomic and pharmacologic data for novel insights.

Main Methods:

  • Utilized the Infinium HumanMethylation450k BeadChip array to generate DNA methylation data for 485,577 probes across the NCI-60 panel.
  • Integrated DNA methylation signatures for 17,559 genes into the open-access CellMiner version 2.0 platform.
  • Performed correlations between transcript levels and DNA methylation, and integrated DNA methylation with copy number data.

Main Results:

  • Identified epithelial/mesenchymal transition gene category as significantly influenced by DNA methylation.
  • Assessed the relative influence of DNA methylation and copy number on transcript levels for 15,798 genes.
  • Found promoter methylation of SLFN11 and MGMT as indicators of therapeutic resistance and susceptibility, respectively.
  • Developed a six-gene model (PARP1, EP300, KDM5C, SMARCB1, UHRF1) correlating with global methylome patterns.

Conclusions:

  • The new DNA methylation database provides a valuable resource for systems pharmacology and genomic studies.
  • The findings reinforce known therapeutic strategies and highlight potential novel drug targets and therapies for various cancer types.
  • This integrated molecular data resource facilitates a deeper understanding of cancer biology and drug response mechanisms.

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