Frequent methylation of HOXA9 gene in tumor tissues and plasma samples from human hepatocellular carcinomas
-
Chih-Chi Kuo
Abstract
Background: Aberrant DNA methylation is associated with the development of hepatocellular carcinoma (HCC), suggesting that gene methylation could be a potential biomarker for detection of HCC. The aim of this study is to identify potential biomarkers in HCC.
Methods: We used the Infinium methylation array and a DNA-pooling strategy to analyze the genome-wide methylation profile in HCC. Quantitative methylation-specific PCR (Q-MSP) was used to validate homeobox A9 (HOXA9) methylation in 29 normal controls, 100 HCC samples and adjacent non-tumor tissues and in 74 plasma samples, including 40 patients with HCC.
Results: Ten genes (HOXA9, NEUROG1, TNFRSF10C, IRAK3, GFPT2, ZNF177, DPYSL4, ELOVL4, FSD1, and CACNA1G) showed differences in methylation between controls and HCCs. Of these, HOXA9 was significantly hypermethylated in HCCs (76.7%; 23/30) compared with controls (3.4%; 1/29). In addition, combination analysis of two- and three-gene sets for HCC detection showed greater sensitivity (90%–96.7%) and comparable specificity (93.1%–96.6%) to each individual gene (33.3%–76.7% and 55.2%–100.0%). HOXA9 methylation was further validated by Q-MSP in two independent set of clinical samples including 100 HCC and paired non-tumor tissues. Further, HOXA9 methylation could be detected in plasma from HCC patients (n=40) but not in normal plasma (n=34) (p<0.0005). Combined testing (either parameter positive) for α-fetoprotein (AFP, a plasma protein biomarker) and HOXA9 methylation showed greater sensitivity (94.6%) for detection of HCC than AFP alone (75.7%).
Conclusions: These data suggest that methylation of HOXA9 could be a helpful biomarker to assist in HCC detection.
Acknowledgments
We would like to thank TLCN for providing tissue samples and related clinical data (all are anonymous) for our research work. This network currently includes five major medical centers (National Taiwan University Hospital, Chang-Gung Memorial Hospital-Linko, Veteran General Hospital-Taichung, Chang-Gung Memorial Hospital-Kaohsiung, and Veteran General Hospital -Kaohsiung). TLCN is supported by grants from National Science Council since 2005 till now (NSC 100-2325-B-182-006) and National Health Research Institutes, Taiwan. The authors are grateful to Mr. Chia-Hsin Lin, Graduate Institute of Microbiology and Immunology, National Defense Medical Center, Taipei, Taiwan, ROC, for the assistance on Q-MSP and Dr. Yu-Ching Chou, School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC, for the assistance on statistical analysis. This work was supported in part by the following grants: NSC 100-2622-B-038-003-CC2 and NSC 99-3112-B-016-003 from the National Science Council, Taiwan, Republic of China, and the Liver Disease Prevention and Treatment Research Foundation, Taiwan, Republic of China.
Conflict of interest statement
Authors’ conflict of interest disclosure: The authors stated that there are no conflicts of interest regarding the publication of this article. Research funding played no role in thestudy design; in the collection, analysis, and interpretationof data; in the writing of the report; or in the decision tosubmit the report for publication.
Research funding: None declared.
Employment or leadership: None declared.
Honorarium: None declared.
References
1. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer 2010;127:2893–917.10.1002/ijc.25516Search in Google Scholar PubMed
2. Lambert MP, Paliwal A, Vaissiere T, Chemin I, Zoulim F, Tommasino M, et al. Aberrant DNA methylation distinguishes hepatocellular carcinoma associated with HBV and HCV infection and alcohol intake. J Hepatol 2011;54:705–15.10.1016/j.jhep.2010.07.027Search in Google Scholar PubMed
3. Moribe T, Iizuka N, Miura T, Kimura N, Tamatsukuri S, Ishitsuka H, et al. Methylation of multiple genes as molecular markers for diagnosis of a small, well-differentiated hepatocellular carcinoma. Int J Cancer 2009;125:388–97.10.1002/ijc.24394Search in Google Scholar PubMed
4. Park IY, Sohn BH, Yu E, Suh DJ, Chung YH, Lee JH, et al. Aberrant epigenetic modifications in hepatocarcinogenesis induced by hepatitis B virus X protein. Gastroenterology 2007;132:1476–94.10.1053/j.gastro.2007.01.034Search in Google Scholar PubMed
5. Yu J, Zhang HY, Ma ZZ, Lu W, Wang YF, Zhu JD. Methylation profiling of twenty four genes and the concordant methylation behaviours of nineteen genes that may contribute to hepatocellular carcinogenesis. Cell Res 2003;13:319–33.10.1038/sj.cr.7290177Search in Google Scholar PubMed
6. Wong IH, Lo YM, Zhang J, Liew CT, Ng MH, Wong N, et al. Detection of aberrant p16 methylation in the plasma and serum of liver cancer patients. Cancer Res 1999;59:71–3.Search in Google Scholar
7. Calvisi DF, Ladu S, Gorden A, Farina M, Lee JS, Conner EA, et al. Mechanistic and prognostic significance of aberrant methylation in the molecular pathogenesis of human hepatocellular carcinoma. J Clin Invest 2007;117:2713–22.10.1172/JCI31457Search in Google Scholar PubMed PubMed Central
8. Ammerpohl O, Pratschke J, Schafmayer C, Haake A, Faber W, von Kampen O, et al. Distinct DNA methylation patterns in cirrhotic liver and hepatocellular carcinoma. Int J Cancer 2012;130:1319–28.10.1002/ijc.26136Search in Google Scholar PubMed
9. Deng YB, Nagae G, Midorikawa Y, Yagi K, Tsutsumi S, Yamamoto S, et al. Identification of genes preferentially methylated in hepatitis C virus-related hepatocellular carcinoma. Cancer Sci 2010;101:1501–10.10.1111/j.1349-7006.2010.01549.xSearch in Google Scholar PubMed
10. Gao W, Kondo Y, Shen L, Shimizu Y, Sano T, Yamao K, et al. Variable DNA methylation patterns associated with progression of disease in hepatocellular carcinomas. Carcinogenesis 2008;29:1901–10.10.1093/carcin/bgn170Search in Google Scholar PubMed
11. Hernandez-Vargas H, Lambert MP, Le Calvez-Kelm F, Gouysse G, McKay-Chopin S, Tavtigian SV, et al. Hepatocellular carcinoma displays distinct DNA methylation signatures with potential as clinical predictors. PLoS One 2010;5:e9749.10.1371/journal.pone.0009749Search in Google Scholar PubMed PubMed Central
12. Shen J, Wang S, Zhang YJ, Kappil M, Wu HC, Kibriya MG, et al. Genome-wide DNA methylation profiles in hepatocellular carcinoma. Hepatology 2012;55:1799–808.10.1002/hep.25569Search in Google Scholar PubMed PubMed Central
13. Feng Q, Stern JE, Hawes SE, Lu H, Jiang M, Kiviat NB. DNA methylation changes in normal liver tissues and hepatocellular carcinoma with different viral infection. Exp Mol Pathol 2010;88:287–92.10.1016/j.yexmp.2010.01.002Search in Google Scholar PubMed PubMed Central
14. Tao R, Li J, Xin J, Wu J, Guo J, Zhang L, et al. Methylation profile of single hepatocytes derived from hepatitis B virus-related hepatocellular carcinoma. PLoS One 2011;6:e19862.10.1371/journal.pone.0019862Search in Google Scholar PubMed PubMed Central
15. Docherty SJ, Davis OS, Haworth CM, Plomin R, Mill J. DNA methylation profiling using bisulfite-based epityping of pooled genomic DNA. Methods 2010;52:255–8.10.1016/j.ymeth.2010.06.017Search in Google Scholar PubMed
16. Rauch T, Li H, Wu X, Pfeifer GP. MIRA-assisted microarray analysis, a new technology for the determination of DNA methylation patterns, identifies frequent methylation of homeodomain-containing genes in lung cancer cells. Cancer Res 2006;66:7939–47.10.1158/0008-5472.CAN-06-1888Search in Google Scholar PubMed
17. Rauch T, Wang Z, Zhang X, Zhong X, Wu X, Lau SK, et al. Homeobox gene methylation in lung cancer studied by genome-wide analysis with a microarray-based methylated CpG island recovery assay. Proc Natl Acad Sci USA 2007;104:5527–32.10.1073/pnas.0701059104Search in Google Scholar PubMed PubMed Central
18. Tommasi S, Karm DL, Wu X, Yen Y, Pfeifer GP. Methylation of homeobox genes is a frequent and early epigenetic event in breast cancer. Breast Cancer Res 2009;11:R14.10.1186/bcr2233Search in Google Scholar PubMed PubMed Central
19. Shih YL, Shyu RY, Hsieh CB, Lai HC, Liu KY, Chu TY, et al. Promoter methylation of the secreted frizzled-related protein 1 gene SFRP1 is frequent in hepatocellular carcinoma. Cancer 2006;107:579–90.10.1002/cncr.22023Search in Google Scholar PubMed
20. Huang RL, Chang CC, Su PH, Chen YC, Liao YP, Wang HC, et al. Methylomic analysis identifies frequent DNA methylation of zinc finger protein 582 (ZNF582) in cervical neoplasms. PLoS One 2012;7:e41060.10.1371/journal.pone.0041060Search in Google Scholar PubMed PubMed Central
21. Wong IH, Zhang J, Lai PB, Lau WY, Lo YM. Quantitative analysis of tumor-derived methylated p16INK4a sequences in plasma, serum, and blood cells of hepatocellular carcinoma patients. Clin Cancer Res 2003;9:1047–52.Search in Google Scholar
22. Eads CA, Danenberg KD, Kawakami K, Saltz LB, Blake C, Shibata D, et al. MethyLight: a high-throughput assay to measure DNA methylation. Nucleic Acids Res 2000;28:E32.10.1093/nar/28.8.e32Search in Google Scholar PubMed PubMed Central
23. Docherty SJ, Butcher LM, Schalkwyk LC, Plomin R. Applicability of DNA pools on 500 K SNP microarrays for cost-effective initial screens in genomewide association studies. BMC Genomics 2007;8:214.10.1186/1471-2164-8-214Search in Google Scholar PubMed PubMed Central
24. Galvan A, Falvella FS, Spinola M, Frullanti E, Leoni VP, Noci S, et al. A polygenic model with common variants may predict lung adenocarcinoma risk in humans. Int J Cancer 2008;123:2327–30.10.1002/ijc.23789Search in Google Scholar PubMed
25. Lai HC, Lin YW, Huang TH, Yan P, Huang RL, Wang HC, et al. Identification of novel DNA methylation markers in cervical cancer. Int J Cancer 2008;123:161–7.10.1002/ijc.23519Search in Google Scholar PubMed
26. Kim SJ, Kelly WK, Fu A, Haines K, Hoffman A, Zheng T, et al. Genome-wide methylation analysis identifies involvement of TNF-alpha mediated cancer pathways in prostate cancer. Cancer Lett 2011;302:47–53.10.1016/j.canlet.2010.12.010Search in Google Scholar PubMed
27. Fabregat I. Dysregulation of apoptosis in hepatocellular carcinoma cells. World J Gastroenterol 2009;15:513–20.10.3748/wjg.15.513Search in Google Scholar PubMed PubMed Central
28. Whittaker S, Marais R, Zhu AX. The role of signaling pathways in the development and treatment of hepatocellular carcinoma. Oncogene 2010;29:4989–5005.10.1038/onc.2010.236Search in Google Scholar PubMed
29. Daniele B, Bencivenga A, Megna AS, Tinessa V. Alpha-fetoprotein and ultrasonography screening for hepatocellular carcinoma. Gastroenterology 2004;127(5 Suppl 1):S108–12.10.1053/j.gastro.2004.09.023Search in Google Scholar PubMed
30. Alaminos M, Davalos V, Cheung NK, Gerald WL, Esteller M. Clustering of gene hypermethylation associated with clinical risk groups in neuroblastoma. J Natl Cancer Inst 2004;96:1208–19.10.1093/jnci/djh224Search in Google Scholar PubMed
31. Furuta J, Nobeyama Y, Umebayashi Y, Otsuka F, Kikuchi K, Ushijima T. Silencing of Peroxiredoxin 2 and aberrant methylation of 33 CpG islands in putative promoter regions in human malignant melanomas. Cancer Res 2006;66:6080–6.10.1158/0008-5472.CAN-06-0157Search in Google Scholar PubMed
32. Lind GE, Skotheim RI, Fraga MF, Abeler VM, Esteller M, Lothe RA. Novel epigenetically deregulated genes in testicular cancer include homeobox genes and SCGB3A1 (HIN-1). J Pathol 2006;210:441–9.10.1002/path.2064Search in Google Scholar PubMed
33. Wu Q, Lothe RA, Ahlquist T, Silins I, Trope CG, Micci F, et al. DNA methylation profiling of ovarian carcinomas and their in vitro models identifies HOXA9, HOXB5, SCGB3A1, and CRABP1 as novel targets. Mol Cancer 2007;6:45.10.1186/1476-4598-6-45Search in Google Scholar PubMed PubMed Central
34. Oka D, Yamashita S, Tomioka T, Nakanishi Y, Kato H, Kaminishi M, et al. The presence of aberrant DNA methylation in noncancerous esophageal mucosae in association with smoking history: a target for risk diagnosis and prevention of esophageal cancers. Cancer 2009;115:3412–26.10.1002/cncr.24394Search in Google Scholar PubMed
35. Enjuanes A, Fernandez V, Hernandez L, Navarro A, Bea S, Pinyol M, et al. Identification of methylated genes associated with aggressive clinicopathological features in mantle cell lymphoma. PLoS One 2011;6:e19736.10.1371/journal.pone.0019736Search in Google Scholar PubMed PubMed Central
36. Son JW, Jeong KJ, Jean WS, Park SY, Jheon S, Cho HM, et al. Genome-wide combination profiling of DNA copy number and methylation for deciphering biomarkers in non-small cell lung cancer patients. Cancer Lett 2011;311:29–37.10.1016/j.canlet.2011.06.021Search in Google Scholar PubMed
37. Reinert T, Modin C, Castano FM, Lamy P, Wojdacz TK, Hansen LL, et al. Comprehensive genome methylation analysis in bladder cancer: identification and validation of novel methylated genes and application of these as urinary tumor markers. Clin Cancer Res 2011;17:5582–92.10.1158/1078-0432.CCR-10-2659Search in Google Scholar PubMed
38. Di Vinci A, Casciano I, Marasco E, Banelli B, Ravetti GL, Borzi L, et al. Quantitative methylation analysis of HOXA3, 7, 9, and 10 genes in glioma: association with tumor WHO grade and clinical outcome. J Cancer Res Clin Oncol 2012;138:35–47.10.1007/s00432-011-1070-5Search in Google Scholar PubMed
39. Kishida Y, Natsume A, Kondo Y, Takeuchi I, An B, Okamoto Y, et al. Epigenetic subclassification of meningiomas based on genome-wide DNA methylation analyses. Carcinogenesis 2012;33:436–41.10.1093/carcin/bgr260Search in Google Scholar PubMed
40. Heichman KA, Warren JD. DNA methylation biomarkers and their utility for solid cancer diagnostics. Clin Chem Lab Med 2012;50:1707–21.Search in Google Scholar
41. Kontos CK, Scorilas A, Papavassiliou AG. The role of transcription factors in laboratory medicine. Clin Chem Lab Med 2013;51:1563–71.10.1515/cclm-2013-0077Search in Google Scholar PubMed
42. Nakamura T, Largaespada DA, Lee MP, Johnson LA, Ohyashiki K, Toyama K, et al. Fusion of the nucleoporin gene NUP98 to HOXA9 by the chromosome translocation t(7;11)(p15;p15) in human myeloid leukaemia. Nat Genet 1996;12:154–8.10.1038/ng0296-154Search in Google Scholar PubMed
43. Barbouti A, Hoglund M, Johansson B, Lassen C, Nilsson PG, Hagemeijer A, et al. A novel gene, MSI2, encoding a putative RNA-binding protein is recurrently rearranged at disease progression of chronic myeloid leukemia and forms a fusion gene with HOXA9 as a result of the cryptic t(7;17)(p15;q23). Cancer Res 2003;63:1202–6.Search in Google Scholar
44. Gilbert PM, Mouw JK, Unger MA, Lakins JN, Gbegnon MK, Clemmer VB, et al. HOXA9 regulates BRCA1 expression to modulate human breast tumor phenotype. J Clin Invest 2010;120:1535–50.10.1172/JCI39534Search in Google Scholar PubMed PubMed Central
45. Shih YL, Hsieh CB, Yan MD, Tsao CM, Hsieh TY, Liu CH, et al. Frequent concomitant epigenetic silencing of SOX1 and secreted frizzled-related proteins (SFRPs) in human hepatocellular carcinoma. J Gastroenterol Hepatol 2013;28:551–9.10.1111/jgh.12078Search in Google Scholar PubMed
46. Hwang SH, Kim KU, Kim JE, Kim HH, Lee MK, Lee CH, et al. Detection of HOXA9 gene methylation in tumor tissues and induced sputum samples from primary lung cancer patients. Clin Chem Lab Med 2011;49:699–704.10.1515/CCLM.2011.108Search in Google Scholar PubMed
47. Markopoulou S, Nikolaidis G, Liloglou T. DNA methylation biomarkers in biological fluids for early detection of respiratory tract cancer. Clin Chem Lab Med 2012;50:1723–31.10.1515/cclm-2012-0124Search in Google Scholar PubMed
©2014 by Walter de Gruyter Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- Colorectal cancer and screening programs: not only analytical issues
- Reviews
- Laboratory diagnostics of inherited platelet disorders
- Reticulated platelets: analytical aspects and clinical utility
- Genetics and Molecular Diagnostics
- Advanced tools for BRCA1/2 mutational screening: comparison between two methods for large genomic rearrangements (LGRs) detection
- General Clinical Chemistry and Laboratory Medicine
- Establishing, harmonizing and analyzing critical values in a large academic health center
- Standardization of DiaSorin and Roche automated third generation PTH assays with an International Standard: impact on clinical populations
- First fully automated immunoassay for anti-Müllerian hormone
- A multicenter evaluation of dysthyroxinemia in a defined patient cohort
- New biomarkers in diagnosis of early onset preeclampsia and imminent delivery prognosis
- Soluble Fms-like tyrosine kinase-1 to placental growth factor ratio in mid-pregnancy as a predictor of preterm preeclampsia in asymptomatic pregnant women
- Development of a new immunoassay for the detection of ethyl glucuronide (EtG) in meconium: validation with authentic specimens analyzed using LC-MS/MS. Preliminary results
- Optimizing centrifugation of coagulation samples in laboratory automation
- Evaluation of the automated coagulation analyzer CS-5100 and its utility in high throughput laboratories
- A new sampling device for faecal immunochemical testing: haemoglobin stability is still an open issue
- Reference Values
- Faecal haemoglobin concentrations vary with sex and age, but data are not transferable across geography for colorectal cancer screening
- Cancer Diagnostics
- Enhanced miR-182 transcription is a predictor of poor overall survival in colorectal adenocarcinoma patients
- Importance of promoter methylation of GATA4 and TP53 genes in endometrioid carcinoma of endometrium
- Frequent methylation of HOXA9 gene in tumor tissues and plasma samples from human hepatocellular carcinomas
- Letters to the Editor
- Further comments on “Critical review of laboratory investigations in clinical practice guidelines: proposals for the description of investigation”
- A questionnaire study among nurses: awareness of blood and urine sample collection procedures
- Measurement uncertainty and clinical interpretation of measurement results
- Laboratory automation: how will you select the boarding assays?
- Improvement and evaluation of a 1,2-dioleoylglycerol method for measuring pancreatic lipase catalytic activity in serum
- The novel variant p.Ser465Leu in the PCSK9 gene does not account for the decreased LDLR activity in members of a FH family
- 1,5 Anhydroglucitol serum concentration as a biomarker for screening gestational diabetes in early pregnancy
- A rare condition: IgE type monoclonal gammopathy of undetermined significance
- Laboratory analysis of intraosseous blood: bad to the bone?
Articles in the same Issue
- Frontmatter
- Editorial
- Colorectal cancer and screening programs: not only analytical issues
- Reviews
- Laboratory diagnostics of inherited platelet disorders
- Reticulated platelets: analytical aspects and clinical utility
- Genetics and Molecular Diagnostics
- Advanced tools for BRCA1/2 mutational screening: comparison between two methods for large genomic rearrangements (LGRs) detection
- General Clinical Chemistry and Laboratory Medicine
- Establishing, harmonizing and analyzing critical values in a large academic health center
- Standardization of DiaSorin and Roche automated third generation PTH assays with an International Standard: impact on clinical populations
- First fully automated immunoassay for anti-Müllerian hormone
- A multicenter evaluation of dysthyroxinemia in a defined patient cohort
- New biomarkers in diagnosis of early onset preeclampsia and imminent delivery prognosis
- Soluble Fms-like tyrosine kinase-1 to placental growth factor ratio in mid-pregnancy as a predictor of preterm preeclampsia in asymptomatic pregnant women
- Development of a new immunoassay for the detection of ethyl glucuronide (EtG) in meconium: validation with authentic specimens analyzed using LC-MS/MS. Preliminary results
- Optimizing centrifugation of coagulation samples in laboratory automation
- Evaluation of the automated coagulation analyzer CS-5100 and its utility in high throughput laboratories
- A new sampling device for faecal immunochemical testing: haemoglobin stability is still an open issue
- Reference Values
- Faecal haemoglobin concentrations vary with sex and age, but data are not transferable across geography for colorectal cancer screening
- Cancer Diagnostics
- Enhanced miR-182 transcription is a predictor of poor overall survival in colorectal adenocarcinoma patients
- Importance of promoter methylation of GATA4 and TP53 genes in endometrioid carcinoma of endometrium
- Frequent methylation of HOXA9 gene in tumor tissues and plasma samples from human hepatocellular carcinomas
- Letters to the Editor
- Further comments on “Critical review of laboratory investigations in clinical practice guidelines: proposals for the description of investigation”
- A questionnaire study among nurses: awareness of blood and urine sample collection procedures
- Measurement uncertainty and clinical interpretation of measurement results
- Laboratory automation: how will you select the boarding assays?
- Improvement and evaluation of a 1,2-dioleoylglycerol method for measuring pancreatic lipase catalytic activity in serum
- The novel variant p.Ser465Leu in the PCSK9 gene does not account for the decreased LDLR activity in members of a FH family
- 1,5 Anhydroglucitol serum concentration as a biomarker for screening gestational diabetes in early pregnancy
- A rare condition: IgE type monoclonal gammopathy of undetermined significance
- Laboratory analysis of intraosseous blood: bad to the bone?