Tumor hypomethylation at 6p21.3 associates with longer time to recurrence of high-grade serous epithelial ovarian cancer.

To reveal biologic mechanisms underlying clinical outcome of high-grade serous (HGS) epithelial ovarian carcinomas (EOC), we evaluated the association between tumor epigenetic changes and time to recurrence (TTR). We assessed methylation at approximately 450,000 genome-wide CpGs in tumors of 337 Mayo Clinic (Rochester, MN) patients. Semi-supervised clustering of discovery (n=168) and validation (n=169) sets was used to determine clinically relevant methylation classes. Clustering identified two methylation classes based on 60 informative CpGs, which differed in TTR in the validation set [R vs. L class, P=2.9×10(-3), HR=0.52; 95% confidence interval (CI), 0.34-0.80]. Follow-up analyses considered genome-wide tumor mRNA expression (n=104) and CD8 T-cell infiltration (n=89) in patient subsets. Hypomethylation of CpGs located in 6p21.3 in the R class associated with cis upregulation of genes enriched in immune response processes (TAP1, PSMB8, PSMB9, HLA-DQB1, HLA-DQB2, HLA-DMA, and HLA-DOA), increased CD8 T-cell tumor infiltration (P=7.6×10(-5)), and trans-regulation of genes in immune-related pathways (P=1.6×10(-32)). This is the most comprehensive assessment of clinical outcomes with regard to epithelial ovarian carcinoma tumor methylation to date. Collectively, these results suggest that an epigenetically mediated immune response is a predictor of recurrence and, possibly, treatment response for HGS EOC.

[1]  Sebastian M. Armasu,et al.  Epigenome-wide ovarian cancer analysis identifies a methylation profile differentiating clear-cell histology with epigenetic silencing of the HERG K+ channel. , 2013, Human molecular genetics.

[2]  Brooke L. Fridley,et al.  GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer , 2013, Nature Genetics.

[3]  Sebastian M. Armasu,et al.  Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer , 2013, Nature Communications.

[4]  J. Tegnér,et al.  An evaluation of analysis pipelines for DNA methylation profiling using the Illumina HumanMethylation450 BeadChip platform , 2013, Epigenetics.

[5]  R. Weksberg,et al.  Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray , 2013, Epigenetics.

[6]  A. Jemal,et al.  Cancer statistics, 2013 , 2013, CA: a cancer journal for clinicians.

[7]  Francesco Marabita,et al.  A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data , 2012, Bioinform..

[8]  B. Seliger,et al.  The role of classical and non-classical HLA class I antigens in human tumors. , 2012, Seminars in cancer biology.

[9]  G. Coukos,et al.  Prognostic significance of tumor-infiltrating T cells in ovarian cancer: a meta-analysis. , 2012, Gynecologic oncology.

[10]  Benjamin Haibe-Kains,et al.  DNA methylation profiling reveals a predominant immune component in breast cancers , 2011, EMBO molecular medicine.

[11]  K. Gunderson,et al.  High density DNA methylation array with single CpG site resolution. , 2011, Genomics.

[12]  Benjamin J. Raphael,et al.  Integrated Genomic Analyses of Ovarian Carcinoma , 2011, Nature.

[13]  G. D. de Bock,et al.  The prognostic influence of tumour-infiltrating lymphocytes in cancer: a systematic review with meta-analysis , 2011, British Journal of Cancer.

[14]  Constanze Zeller,et al.  Systematic CpG Islands Methylation Profiling of Genes in the Wnt Pathway in Epithelial Ovarian Cancer Identifies Biomarkers of Progression-Free Survival , 2011, Clinical Cancer Research.

[15]  M. Karin,et al.  Inflammatory cytokines in cancer: tumour necrosis factor and interleukin 6 take the stage , 2011, Annals of the rheumatic diseases.

[16]  B. Christensen,et al.  DNA methylation, isocitrate dehydrogenase mutation, and survival in glioma. , 2011, Journal of the National Cancer Institute.

[17]  L. Cope,et al.  Distinct DNA methylation profiles in ovarian serous neoplasms and their implications in ovarian carcinogenesis. , 2010, American journal of obstetrics and gynecology.

[18]  Devin C. Koestler,et al.  Semi-supervised recursively partitioned mixture models for identifying cancer subtypes , 2010, Bioinform..

[19]  Peter W. Laird,et al.  DNA Methylation Profiles of Ovarian Epithelial Carcinoma Tumors and Cell Lines , 2010, PloS one.

[20]  R. Berkowitz,et al.  Increased HLA-DMB Expression in the Tumor Epithelium Is Associated with Increased CTL Infiltration and Improved Prognosis in Advanced-Stage Serous Ovarian Cancer , 2008, Clinical Cancer Research.

[21]  R. Gopaul,et al.  Epigenetic enhancement of antigen processing and presentation promotes immune recognition of tumors. , 2008, Cancer research.

[22]  R. Tothill,et al.  Novel Molecular Subtypes of Serous and Endometrioid Ovarian Cancer Linked to Clinical Outcome , 2008, Clinical Cancer Research.

[23]  Laurent Ozbun,et al.  A gene signature predicting for survival in suboptimally debulked patients with ovarian cancer. , 2008, Cancer research.

[24]  Soldano Ferrone,et al.  HLA Class I Antigen Processing Machinery Component Expression and Intratumoral T-Cell Infiltrate as Independent Prognostic Markers in Ovarian Carcinoma , 2008, Clinical Cancer Research.

[25]  Susan J Clark,et al.  DNA methylation changes in ovarian cancer: implications for early diagnosis, prognosis and treatment. , 2008, Gynecologic oncology.

[26]  P. Gao,et al.  Prognostic significance of stathmin expression in correlation with metastasis and clinicopathological characteristics in human ovarian carcinoma. , 2008, Acta histochemica.

[27]  Peter A. Jones,et al.  The Epigenomics of Cancer , 2007, Cell.

[28]  A. Dueñas-González,et al.  Up-regulation of HLA class I antigen expression and antigen-specific CTL response in cervical cancer cells by the demethylating hydralazine and the histone deacetylase inhibitor valproic acid , 2007, BMC Cancer.

[29]  A. Dueñas-González,et al.  Up-regulation of HLA class-I antigen expression and antigen-specific CTL response in cervical cancer cells by the demethylating agent hydralazine and the histone deacetylase inhibitor valproic acid , 2006, Journal of Translational Medicine.

[30]  Gerd Ritter,et al.  Intraepithelial CD8+ tumor-infiltrating lymphocytes and a high CD8+/regulatory T cell ratio are associated with favorable prognosis in ovarian cancer. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[31]  George Coukos,et al.  Specific recruitment of regulatory T cells in ovarian carcinoma fosters immune privilege and predicts reduced survival , 2004, Nature Medicine.

[32]  A. Kotini,et al.  Prognostic significance of HLA-DR antigen in serous ovarian tumors , 2003, Clinical and Experimental Medicine.

[33]  R. Tibshirani,et al.  Diagnosis of multiple cancer types by shrunken centroids of gene expression , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[34]  D. Hicklin,et al.  HLA class I antigen and transporter associated with antigen processing (TAP1 and TAP2) down-regulation in high-grade primary breast carcinoma lesions. , 1998, Cancer research.

[35]  A. Harris,et al.  Loss of transporter in antigen processing 1 transport protein and major histocompatibility complex class I molecules in metastatic versus primary breast cancer. , 1995, Cancer research.

[36]  D. Grimes,et al.  Relative frequency of primary ovarian neoplasms: A 10‐year review , 1989, Obstetrics and gynecology.

[37]  陈亮 Distinct DNA methylation profiles in ovarian serous neoplasms and their implications in ovarian carcinogenesis , 2010 .

[38]  R. Rezzani,et al.  HLA class I antigen down-regulation in primary ovary carcinoma lesions: association with disease stage. , 2005, Clinical cancer research : an official journal of the American Association for Cancer Research.

[39]  N. Dubrawsky Cancer statistics , 1989, CA: a cancer journal for clinicians.