Title |
Immune regulation by low doses of the DNA methyltransferase inhibitor 5-azacitidine in common human epithelial cancers
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Published in |
Oncotarget, February 2014
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DOI | 10.18632/oncotarget.1782 |
Pubmed ID | |
Authors |
Huili Li, Katherine B. Chiappinelli, Angela A. Guzzetta, Hariharan Easwaran, Ray-Whay Chiu Yen, Rajita Vatapalli, Michael J. Topper, Jianjun Luo, Roisin M. Connolly, Nilofer S. Azad, Vered Stearns, Drew M. Pardoll, Nancy Davidson, Peter A. Jones, Dennis J. Slamon, Stephen B. Baylin, Cynthia A. Zahnow, Nita Ahuja |
Abstract |
Epigenetic therapy is emerging as a potential therapy for solid tumors. To investigate its mechanism of action, we performed integrative expression and methylation analysis of 63 cancer cell lines (breast, colorectal, and ovarian) after treatment with the DNA methyltransferase inhibitor 5-azacitidine (AZA). Gene Set Enrichment Analysis demonstrated significant enrichment for immunomodulatory pathways in all three cancers (14.4-31.3%) including interferon signaling, antigen processing and presentation, and cytokines/chemokines. Strong upregulation of cancer testis antigens was also observed. An AZA IMmune gene set (AIMs) derived from the union of these immunomodulatory pathway genes classified primary tumors from all three types, into "high" and "low" AIM gene expression subsets in tumor expression data from both TCGA and GEO. Samples from selected patient biopsies showed upregulation of AIM genes after treatment with epigenetic therapy. These results point to a broad immune stimulatory role for DNA demethylating drugs in multiple cancers. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | <1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
Norway | 1 | <1% |
Korea, Republic of | 1 | <1% |
Italy | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Belgium | 1 | <1% |
Other | 1 | <1% |
Unknown | 285 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 66 | 22% |
Student > Ph. D. Student | 55 | 19% |
Student > Master | 31 | 11% |
Student > Bachelor | 23 | 8% |
Other | 17 | 6% |
Other | 45 | 15% |
Unknown | 58 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 71 | 24% |
Medicine and Dentistry | 59 | 20% |
Agricultural and Biological Sciences | 57 | 19% |
Immunology and Microbiology | 16 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 7 | 2% |
Other | 18 | 6% |
Unknown | 67 | 23% |