Inactivation of p16, RUNX3, and HPP1 occurs early in Barrett's-associated neoplastic progression and predicts progression risk
Open Access
- 11 April 2005
- journal article
- research article
- Published by Springer Nature in Oncogene
- Vol. 24 (25) , 4138-4148
- https://doi.org/10.1038/sj.onc.1208598
Abstract
Patients with Barrett's esophagus (BE) are at increased risk of developing esophageal adenocarcinoma (EAC). Clinical neoplastic progression risk factors, such as age and the length of the esophageal BE segment, have been identified. However, improved molecular biomarkers predicting increased progression risk are needed for improved risk assessment and stratification. Using real-time quantitative methylation-specific PCR, we screened 10 genes (HPP1, RUNX3, RIZ1, CRBP1, 3-OST-2, APC, TIMP3, p16, MGMT, p14) for promoter hypermethylation in 77 EAC, 93 BE, and 64 normal esophagus (NE) specimens. A subset of genes manifesting significant differences in methylation frequencies between BE and EAC was then analysed in 20 dysplastic specimens. All 10 genes except p14 were frequently methylated in EACs, with RUNX3, HPP1, CRBP1, RIZ1, and OST-2 representing novel methylation targets in EAC and/or BE. p16, RUNX3, and HPP1 displayed increasing methylation frequencies in BE vs EAC. Furthermore, these increases in methylation occurred early, at the interface between BE and low-grade dysplasia (LGD). To demonstrate the silencing effect of hypermethylation, we selected the EAC cells BIC1, in which the HPP1 promoter is natively methylated, and subjected them to 5-aza-2′-deoxycytidine (Aza-C) treatment. Real-time RT–PCR indicated increased HPP1 mRNA levels after 3 days of Aza-C treatment, as well as decreased levels of methylated HPP1 DNA. Hypermethylation of a subset of six genes (APC, TIMP3, CRBP1, p16, RUNX3, and HPP1) was then tested in a retrospective longitudinal study of 99 BE and nine LGD specimens obtained from 53 BE patients undergoing surveillance endoscopy. Only high-grade dysplasia (HGD) or EAC were defined as progression end points. Two patient groups were compared: eight progressors (P) and 45 nonprogressors (NP), using Cox proportional hazards models to determine the relative progression risks of age, BE segment length, and methylation events. Multivariate analyses revealed that only hypermethylation of p16 (odds ratio (OR) 1.74, 95% confidence interval (CI) 1.33–2.20), RUNX3 (OR 1.80, 95% CI 1.08–2.81), and HPP1 (OR 1.77, 95% CI 1.06–2.81) were independently associated with an increased risk of progression, whereas age, BE segment length, and hypermethylation of TIMP3, APC, or CRBP1 were not independent risk factors. In combined analyses, risk was detectable up to, but not earlier than, 2 years preceding neoplastic progression. Hypermethylation of p16, RUNX3, and HPP1 in BE or LGD may represent independent risk factors for the progression of BE to HGD or EAC. These findings have implications regarding risk stratification, early EAC detection, and the appropriate endoscopic surveillance interval for patients with BE.Keywords
This publication has 72 references indexed in Scilit:
- Tumor suppressor activity of RUNX3Oncogene, 2004
- Biomarkers of Esophageal Adenocarcinoma and Barrett’s EsophagusCancer Research, 2004
- Frequent epigenetic inactivation of RIZ1 by promoter hypermethylation in human gastric carcinomaInternational Journal of Cancer, 2004
- DiscussionSurgery, 2003
- Intragenic allelic loss and promoter hypermethylation of the RIZ1 tumor suppressor gene in parathyroid tumors and pheochromocytomasSurgery, 2003
- Progression of Barretl's esophagus to high grade dysplasia and cancer: Preliminary results of the BEST (Barrett's esophagus study) trialGastroenterology, 2001
- Intragenic mutations of CDKN2B and CDKN2A in primary human esophageal cancersHuman Molecular Genetics, 1995
- Methylation of the oestrogen receptor CpG island links ageing and neoplasia in human colonNature Genetics, 1994
- Adenocarcinomas arising in tongues or short segments of Barrett's esophagusDigestive Diseases and Sciences, 1992
- Nonparametric Estimation from Incomplete ObservationsJournal of the American Statistical Association, 1958