Skip to main content
Top
Published in: BMC Cancer 1/2018

Open Access 01-12-2018 | Research article

TRH site-specific methylation in oral and oropharyngeal squamous cell carcinoma

Authors: C. Puttipanyalears, A. Arayataweegool, K. Chalertpet, P. Rattanachayoto, P. Mahattanasakul, N. Tangjaturonsasme, V. Kerekhanjanarong, A. Mutirangura, N. Kitkumthorn

Published in: BMC Cancer | Issue 1/2018

Login to get access

Abstract

Background

The incidence of oral squamous cell carcinoma (OSCC) continues to increase each year. Clinical examination and biopsy usually detect OSCC at an advanced stage that is difficult to treat, leading to poor prognosis. DNA methylation pattern is tissue specific and has emerged as a biomarker for the detection of cancers of tissue origin. Herein, we aimed to discover a novel site-specific methylation marker for OSCC.

Methods

We selected OSCC datasets analyzed using the IlluminaHumanMethylation27 BeadChip from the Gene Expression Omnibus repository of the National Center for Biotechnology Information using a bioinformatics approach. From 27,578 CG dinucleotide (CpG) sites, the CpG site with the highest difference in methylation level between healthy and cancerous cells was selected for further validation. A total of 18 mucosal tissue samples were collected from nine healthy controls and nine from OSCC subjects and subjected to microdissection for cell purification, followed by DNA extraction, bisulfite conversion, and pyrosequencing. Additionally, epithelial cells were collected from 2 cohorts including oral rinse from healthy controls, oral rinse and oral swab from OSCC subjects and oral rinse from oropharyngeal squamous cell carcinoma (SCC) were examined for their methylation status using real-time polymerase chain reaction (PCR).

Results

Among the 27,578 differentially methylated CpG sites, cg01009664 of the thyrotropin-releasing hormone (TRH) gene showed the greatest difference in methylation level between healthy and cancerous cells. Validation of the TRH gene using pyrosequencing revealed a methylation percentage of 7% ± 3.43% in healthy cells in contrast to 63% ± 19.81% in cancerous cells. Screening of epithelial cells using real-time PCR showed that the DNA methylation level was significantly higher in oral swab and rinse samples collected from OSCC and oropharyngeal SCC subjects than those from healthy controls (p < 0.001). In addition, when using a cutoff at 3.31 ng/μL, the TRH methylation biomarker was able to distinguish OSCC and oropharyngeal SCC subjects from healthy controls with high level of area under the curve, sensitivity and specificity.

Conclusion

We demonstrated cg01009664 of TRH as a potential biomarker for OSCC and oropharyngeal SCC screening using oral rinse and swab techniques.
Appendix
Available only for authorised users
Literature
1.
go back to reference Leemans CR, Braakhuis BJ, Brakenhoff RH. The molecular biology of head and neck cancer. Nat Rev Cancer. 2011;11:9–22.CrossRefPubMed Leemans CR, Braakhuis BJ, Brakenhoff RH. The molecular biology of head and neck cancer. Nat Rev Cancer. 2011;11:9–22.CrossRefPubMed
2.
go back to reference Pentenero M, Carrozzo M, Pagano M, Galliano D, Broccoletti R, Scully C, Gandolfo S. Oral mucosal dysplastic lesions and early squamous cell carcinomas under diagnosis from incisional biopsy. Oral Dis. 2003;9:68–72.CrossRefPubMed Pentenero M, Carrozzo M, Pagano M, Galliano D, Broccoletti R, Scully C, Gandolfo S. Oral mucosal dysplastic lesions and early squamous cell carcinomas under diagnosis from incisional biopsy. Oral Dis. 2003;9:68–72.CrossRefPubMed
3.
4.
go back to reference Nagata S, Hamada T, Yamada N, Yokoyama S, Kitamoto S, Kanmura Y, Nomura M, Kamikawa Y, Yonezawa S, et al. Aberrant DNA methylation of tumor-related genes in oral rinse: a noninvasive method for detection of oral squamous cell carcinoma. Cancer. 2012;118(17):4298–308.CrossRefPubMed Nagata S, Hamada T, Yamada N, Yokoyama S, Kitamoto S, Kanmura Y, Nomura M, Kamikawa Y, Yonezawa S, et al. Aberrant DNA methylation of tumor-related genes in oral rinse: a noninvasive method for detection of oral squamous cell carcinoma. Cancer. 2012;118(17):4298–308.CrossRefPubMed
5.
go back to reference Schussel J, Zhou XC, Zhang Z, Pattani K, Bermudez F, Jean-Charles G, McCaffrey T, Padhya T, Phelan J, et al. EDNRB and DCC salivary rinse hypermethylation has a similar performance as expert clinical examination in discrimination of oral cancer/dysplasia versus benign lesions. Clin Cancer Res. 2013;19(12):3268–75.CrossRefPubMedPubMedCentral Schussel J, Zhou XC, Zhang Z, Pattani K, Bermudez F, Jean-Charles G, McCaffrey T, Padhya T, Phelan J, et al. EDNRB and DCC salivary rinse hypermethylation has a similar performance as expert clinical examination in discrimination of oral cancer/dysplasia versus benign lesions. Clin Cancer Res. 2013;19(12):3268–75.CrossRefPubMedPubMedCentral
6.
go back to reference Guerrero-Preston R, Soudry E, Acero J, Orera M, et al. NID2 and HOXA9 promoter hypermethylation as biomarkers for prevention and early detection in oral cavity squamous cell carcinoma tissues and saliva. Cancer Prev Res (Phila). 2011;4(7):1061–72.CrossRef Guerrero-Preston R, Soudry E, Acero J, Orera M, et al. NID2 and HOXA9 promoter hypermethylation as biomarkers for prevention and early detection in oral cavity squamous cell carcinoma tissues and saliva. Cancer Prev Res (Phila). 2011;4(7):1061–72.CrossRef
7.
go back to reference Muangsub T, Samsuwan J, Tongyoo P, Kitkumthorn N, Mutirangura A. Analysis of methylation microarray for tissue specific detection. Gene. 2014;553(1):31–41.CrossRefPubMed Muangsub T, Samsuwan J, Tongyoo P, Kitkumthorn N, Mutirangura A. Analysis of methylation microarray for tissue specific detection. Gene. 2014;553(1):31–41.CrossRefPubMed
8.
go back to reference Sun Z, Chai HS, Wu Y, White WM, Donkena KV, Klein CJ, Garovic VD, Therneau TM, Kocher JP. Batch effect correction for genome-wide methylation data with Illumina Infinium platform. BMC Med Genomics. 2011;4:84.CrossRefPubMedPubMedCentral Sun Z, Chai HS, Wu Y, White WM, Donkena KV, Klein CJ, Garovic VD, Therneau TM, Kocher JP. Batch effect correction for genome-wide methylation data with Illumina Infinium platform. BMC Med Genomics. 2011;4:84.CrossRefPubMedPubMedCentral
9.
go back to reference Wang D, Yan L, Hu Q, Sucheston LE, Higgins MJ, Ambrosone CB, Johnson CS, Smiraglia DJ, Liu S. IMA: an R package for high-throughput analysis of Illumina's 450 K Infinium methylation data. Bioinformatics. 2012;28:729–30.CrossRefPubMedPubMedCentral Wang D, Yan L, Hu Q, Sucheston LE, Higgins MJ, Ambrosone CB, Johnson CS, Smiraglia DJ, Liu S. IMA: an R package for high-throughput analysis of Illumina's 450 K Infinium methylation data. Bioinformatics. 2012;28:729–30.CrossRefPubMedPubMedCentral
10.
go back to reference Towle R, Truong D, Hogg K, Robinson WP, Poh CF, Garnis C. Global analysis of DNA methylation changes during progression of oral cancer. Oral Oncol. 2013;49(11):1033–42.CrossRefPubMed Towle R, Truong D, Hogg K, Robinson WP, Poh CF, Garnis C. Global analysis of DNA methylation changes during progression of oral cancer. Oral Oncol. 2013;49(11):1033–42.CrossRefPubMed
11.
go back to reference Poage GM, Houseman EA, Christensen BC, Butler RA, Avissar-Whiting M, McClean MD, Waterboer T, Pawlita M, Marsit CJ, et al. Global Hypomethylation identifies loci targeted for Hypermethylation in head and neck Cancer. Clin Cancer Res. 2011;17(11):3579–89.CrossRefPubMedPubMedCentral Poage GM, Houseman EA, Christensen BC, Butler RA, Avissar-Whiting M, McClean MD, Waterboer T, Pawlita M, Marsit CJ, et al. Global Hypomethylation identifies loci targeted for Hypermethylation in head and neck Cancer. Clin Cancer Res. 2011;17(11):3579–89.CrossRefPubMedPubMedCentral
12.
go back to reference Poage GM, Butler RA, Houseman EA, McClean MD, Nelson HH, Christensen BC, et al. Identification of an epigenetic profile classifier that is associated with survival in head and neck cancer. Cancer Res. 2012;72(11):2728–37.CrossRefPubMedPubMedCentral Poage GM, Butler RA, Houseman EA, McClean MD, Nelson HH, Christensen BC, et al. Identification of an epigenetic profile classifier that is associated with survival in head and neck cancer. Cancer Res. 2012;72(11):2728–37.CrossRefPubMedPubMedCentral
13.
go back to reference Sheu JJ, Lee CC, Hua CH, Li CI, Lai MT, Lee SC, Cheng J, Chen CM, Chan C, et al. LRIG1 modulates aggressiveness of head and neck cancers by regulating EGFR-MAPK-SPHK1 signaling and extracellular matrix remodeling. Oncogene. 2014;33(11):1375–84.CrossRefPubMed Sheu JJ, Lee CC, Hua CH, Li CI, Lai MT, Lee SC, Cheng J, Chen CM, Chan C, et al. LRIG1 modulates aggressiveness of head and neck cancers by regulating EGFR-MAPK-SPHK1 signaling and extracellular matrix remodeling. Oncogene. 2014;33(11):1375–84.CrossRefPubMed
15.
go back to reference de Ruijter TC, de Hoon JP, Slaats J, de Vries B, Janssen MJ, van Wezel T, Aarts MJ, van Engeland M, Tjan-Heijnen VC, et al. Formalin-fixed, paraffin-embedded (FFPE) tissue epigenomics using Infinium HumanMethylation450 BeadChip assays. Lab Investig. 2015;95(7):833–42.CrossRefPubMed de Ruijter TC, de Hoon JP, Slaats J, de Vries B, Janssen MJ, van Wezel T, Aarts MJ, van Engeland M, Tjan-Heijnen VC, et al. Formalin-fixed, paraffin-embedded (FFPE) tissue epigenomics using Infinium HumanMethylation450 BeadChip assays. Lab Investig. 2015;95(7):833–42.CrossRefPubMed
16.
go back to reference Dumenil TD, Wockner LF, Bettington M, DM MK, Klein K, Bowdler LM, Montgomery GW, Leggett BA, Whitehall VL. Genome-wide DNA methylation analysis of formalin-fixed paraffin embedded colorectal cancer tissue. Genes Chrom Cancer. 2014;53(7):537–48.CrossRefPubMed Dumenil TD, Wockner LF, Bettington M, DM MK, Klein K, Bowdler LM, Montgomery GW, Leggett BA, Whitehall VL. Genome-wide DNA methylation analysis of formalin-fixed paraffin embedded colorectal cancer tissue. Genes Chrom Cancer. 2014;53(7):537–48.CrossRefPubMed
17.
go back to reference Kitkumthorn N, Tuangsintanakul T, Rattanatanyong P, Tiwawech D, Mutirangura A. LINE-1 methylation in the peripheral blood mononuclear cells of cancer patients. Clinica Chim Acta. 2012;413(9–10):869–74.CrossRef Kitkumthorn N, Tuangsintanakul T, Rattanatanyong P, Tiwawech D, Mutirangura A. LINE-1 methylation in the peripheral blood mononuclear cells of cancer patients. Clinica Chim Acta. 2012;413(9–10):869–74.CrossRef
18.
go back to reference Chalitchagorn K, Shuangshoti S, Hourpai N, Kongruttanachok N, Tangkijvanich P, Thong-ngam D, Voravud N, Sriuranpong V, Mutirangura A. Distinctive pattern of LINE-1 methylation level in normal tissues and the association with carcinogenesis. Oncogene. 2014;23:8841–6.CrossRef Chalitchagorn K, Shuangshoti S, Hourpai N, Kongruttanachok N, Tangkijvanich P, Thong-ngam D, Voravud N, Sriuranpong V, Mutirangura A. Distinctive pattern of LINE-1 methylation level in normal tissues and the association with carcinogenesis. Oncogene. 2014;23:8841–6.CrossRef
19.
go back to reference Shimizu H, Horii A, Sunamura M, Motoi F, Egawa S, Unno M, Fukushige S. Identification of epigenetically silenced genes in human pancreatic cancer by a novel method “microarray coupled with methyl-CpG targeted transcriptional activation” (MeTA-array). Biochem Biophy Res Commun. 2011;411:162–7.CrossRef Shimizu H, Horii A, Sunamura M, Motoi F, Egawa S, Unno M, Fukushige S. Identification of epigenetically silenced genes in human pancreatic cancer by a novel method “microarray coupled with methyl-CpG targeted transcriptional activation” (MeTA-array). Biochem Biophy Res Commun. 2011;411:162–7.CrossRef
20.
go back to reference Arai E, Chiku S, Mori T, Gotoh M, Nakagawa T, Fujimoto H, Kanai Y. Single-CpG-resolution methylome analysis identifies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas. Carcinogenesis. 2012;33(8):1487–93.CrossRefPubMedPubMedCentral Arai E, Chiku S, Mori T, Gotoh M, Nakagawa T, Fujimoto H, Kanai Y. Single-CpG-resolution methylome analysis identifies clinicopathologically aggressive CpG island methylator phenotype clear cell renal cell carcinomas. Carcinogenesis. 2012;33(8):1487–93.CrossRefPubMedPubMedCentral
21.
go back to reference Tian Y, Arai E, Gotoh M, Komiyama M, Fujimoto H, Kanai Y. Prognostication of patients with clear cell renal cell carcinomas based on quantification of DNA methylation levels of CpG island methylator phenotype marker genes. BMC Cancer. 2014;14:772.CrossRefPubMedPubMedCentral Tian Y, Arai E, Gotoh M, Komiyama M, Fujimoto H, Kanai Y. Prognostication of patients with clear cell renal cell carcinomas based on quantification of DNA methylation levels of CpG island methylator phenotype marker genes. BMC Cancer. 2014;14:772.CrossRefPubMedPubMedCentral
24.
go back to reference Puttipanyalears C, Kitkumthorn N, Buranapraditkun S, Keelawat S, Mutirangura A. Breast cancer upregulating genes in stromal cells by LINE-1 hypermethylation and micrometastatic detection. Epigenomics. 2016;8(4):475–86.CrossRefPubMed Puttipanyalears C, Kitkumthorn N, Buranapraditkun S, Keelawat S, Mutirangura A. Breast cancer upregulating genes in stromal cells by LINE-1 hypermethylation and micrometastatic detection. Epigenomics. 2016;8(4):475–86.CrossRefPubMed
25.
go back to reference Kitkumthorn N, Mutirangura A. Long interspersed nuclear element-1 hypomethylation in cancer: biology and clinical applications. Clin Epigenetics. 2011;2(2):315–30.CrossRefPubMedPubMedCentral Kitkumthorn N, Mutirangura A. Long interspersed nuclear element-1 hypomethylation in cancer: biology and clinical applications. Clin Epigenetics. 2011;2(2):315–30.CrossRefPubMedPubMedCentral
26.
go back to reference Jones PA. Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat Rev Genet. 2012;13:484–92.CrossRefPubMed Jones PA. Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat Rev Genet. 2012;13:484–92.CrossRefPubMed
Metadata
Title
TRH site-specific methylation in oral and oropharyngeal squamous cell carcinoma
Authors
C. Puttipanyalears
A. Arayataweegool
K. Chalertpet
P. Rattanachayoto
P. Mahattanasakul
N. Tangjaturonsasme
V. Kerekhanjanarong
A. Mutirangura
N. Kitkumthorn
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2018
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-018-4706-x

Other articles of this Issue 1/2018

BMC Cancer 1/2018 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine