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Published in: Digestive Diseases and Sciences 6/2020

01-06-2020 | Colorectal Cancer | Original Article

High-Yield Methylation Markers for Stool-Based Detection of Colorectal Cancer

Authors: Xianglin Liu, Jialing Wen, Chujun Li, Hui Wang, Jianping Wang, Hongzhi Zou

Published in: Digestive Diseases and Sciences | Issue 6/2020

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Abstract

Background

Many methylation markers associated with colorectal cancer have been reported, but few of them are actually used in clinical practice.

Aims

This study was designed to identify promising methylation markers for stool-based detection of colorectal cancer.

Methods

We first tested 324 reported methylated genes in colorectal cancer cell lines. A total of 111 heavily methylated genes were selected for further evaluation with a pilot set of colorectal cancer and adjacent normal tissues. Ten high-yield methylated markers were further studied in 319 tissue samples. Eventually, the four best markers, namely methylated COL4A1, COL4A2, TLX2, and ITGA4, were validated in 240 stool samples. Methylation-specific PCR (MSP) and real-time MSP (qMSP) were employed for methylation detection.

Results

After hierarchical selection, ten differentially methylated genes demonstrated high sensitivity and specificity for the detection of colorectal cancer in tissue. When validated in stool samples, the four with the best performance—COL4A1, COL4A2, TLX2, and ITGA4—were able to detect 82.5–92.5% of colorectal cancers and 41.6–58.4% of adenomas (≥ 1 cm) with specificity of 88.0–96.4%. The best combination, COL4A2 and TLX2, detected 91.3% of CRCs and 51.9% of advanced adenomas in stool with 97.6% specificity.

Conclusions

Methylated COL4A1, COL4A2, TLX2, and ITGA4 demonstrated high accuracy for the detection of colorectal neoplasms in stool. They are potentially valuable markers for the detection of colorectal cancer.
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Literature
1.
go back to reference Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424.CrossRef Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424.CrossRef
2.
go back to reference Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 2015. CA Cancer J Clin. 2016;66:115–132.CrossRef Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 2015. CA Cancer J Clin. 2016;66:115–132.CrossRef
3.
go back to reference Goss PE, Strasser-Weippl K, Lee-Bychkovsky BL, et al. Challenges to effective cancer control in China, India, and Russia. Lancet Oncol. 2014;15:489–538.CrossRef Goss PE, Strasser-Weippl K, Lee-Bychkovsky BL, et al. Challenges to effective cancer control in China, India, and Russia. Lancet Oncol. 2014;15:489–538.CrossRef
4.
go back to reference Qian CN. At-home cancer screening: a solution for China and other developing countries with a large population and limited number of healthcare practitioners. Chin J Cancer. 2017;36:68.CrossRef Qian CN. At-home cancer screening: a solution for China and other developing countries with a large population and limited number of healthcare practitioners. Chin J Cancer. 2017;36:68.CrossRef
5.
go back to reference O’Connell JB, Maggard MA, Ko CY. Colon cancer survival rates with the new American Joint Committee on Cancer sixth edition staging. J Natl Cancer Inst. 2004;96:1420–1425.CrossRef O’Connell JB, Maggard MA, Ko CY. Colon cancer survival rates with the new American Joint Committee on Cancer sixth edition staging. J Natl Cancer Inst. 2004;96:1420–1425.CrossRef
6.
go back to reference Byers T, Wender RC, Jemal A, Baskies AM, Ward EE, Brawley OW. The American Cancer Society challenge goal to reduce US cancer mortality by 50% between 1990 and 2015: results and reflections. CA Cancer J Clin. 2016;66:359–369.CrossRef Byers T, Wender RC, Jemal A, Baskies AM, Ward EE, Brawley OW. The American Cancer Society challenge goal to reduce US cancer mortality by 50% between 1990 and 2015: results and reflections. CA Cancer J Clin. 2016;66:359–369.CrossRef
7.
go back to reference Hardcastle JD, Chamberlain JO, Robinson MH, et al. Randomised controlled trial of faecal-occult-blood screening for colorectal cancer. Lancet. 1996;348:1472–1477.CrossRef Hardcastle JD, Chamberlain JO, Robinson MH, et al. Randomised controlled trial of faecal-occult-blood screening for colorectal cancer. Lancet. 1996;348:1472–1477.CrossRef
8.
go back to reference Zauber AG, Winawer SJ, O’Brien MJ, et al. Colonoscopic polypectomy and long-term prevention of colorectal-cancer deaths. N Engl J Med. 2012;366:687–696.CrossRef Zauber AG, Winawer SJ, O’Brien MJ, et al. Colonoscopic polypectomy and long-term prevention of colorectal-cancer deaths. N Engl J Med. 2012;366:687–696.CrossRef
9.
go back to reference Meng W, Bi XW, Bai XY, et al. Barrier-focused intervention to increase colonoscopy attendance among nonadherent high-risk populations. World J Gastroenterol. 2009;15:3920–3925.CrossRef Meng W, Bi XW, Bai XY, et al. Barrier-focused intervention to increase colonoscopy attendance among nonadherent high-risk populations. World J Gastroenterol. 2009;15:3920–3925.CrossRef
10.
go back to reference Rabeneck L, Paszat LF, Hilsden RJ, et al. Bleeding and perforation after outpatient colonoscopy and their risk factors in usual clinical practice. Gastroenterology. 2008;135:1899–1906.CrossRef Rabeneck L, Paszat LF, Hilsden RJ, et al. Bleeding and perforation after outpatient colonoscopy and their risk factors in usual clinical practice. Gastroenterology. 2008;135:1899–1906.CrossRef
11.
go back to reference Osborn NK, Ahlquist DA. Stool screening for colorectal cancer: molecular approaches. Gastroenterology. 2005;128:192–206.CrossRef Osborn NK, Ahlquist DA. Stool screening for colorectal cancer: molecular approaches. Gastroenterology. 2005;128:192–206.CrossRef
12.
go back to reference Mikeska T, Bock C, Do H, Dobrovic A. DNA methylation biomarkers in cancer: progress towards clinical implementation. Expert Rev Mol Diagn. 2012;12:473–487.CrossRef Mikeska T, Bock C, Do H, Dobrovic A. DNA methylation biomarkers in cancer: progress towards clinical implementation. Expert Rev Mol Diagn. 2012;12:473–487.CrossRef
13.
go back to reference Imperiale TF, Ransohoff DF, Itzkowitz SH, et al. Multitarget stool DNA testing for colorectal-cancer screening. N Engl J Med. 2014;370:1287–1297.CrossRef Imperiale TF, Ransohoff DF, Itzkowitz SH, et al. Multitarget stool DNA testing for colorectal-cancer screening. N Engl J Med. 2014;370:1287–1297.CrossRef
14.
go back to reference US Preventive Services Task Force, Bibbins-Domingo K, Grossman DC, et al. Screening for colorectal cancer: US Preventive Services Task Force Recommendation Statement. JAMA. 2016;315:2564–2575.CrossRef US Preventive Services Task Force, Bibbins-Domingo K, Grossman DC, et al. Screening for colorectal cancer: US Preventive Services Task Force Recommendation Statement. JAMA. 2016;315:2564–2575.CrossRef
15.
go back to reference Niu F, Wen J, Fu X, et al. Stool DNA test of methylated syndecan-2 for the early detection of colorectal neoplasia. Cancer Epidemiol Biomark Prev. 2017;26:1411–1419.CrossRef Niu F, Wen J, Fu X, et al. Stool DNA test of methylated syndecan-2 for the early detection of colorectal neoplasia. Cancer Epidemiol Biomark Prev. 2017;26:1411–1419.CrossRef
17.
go back to reference Lam K, Pan K, Linnekamp JF, Medema JP, Kandimalla R. DNA methylation based biomarkers in colorectal cancer: a systematic review. Biochim Biophys Acta. 2016;1866:106–120.PubMed Lam K, Pan K, Linnekamp JF, Medema JP, Kandimalla R. DNA methylation based biomarkers in colorectal cancer: a systematic review. Biochim Biophys Acta. 2016;1866:106–120.PubMed
18.
go back to reference Carmona FJ, Azuara D, Berenguer-Llergo A, et al. DNA methylation biomarkers for noninvasive diagnosis of colorectal cancer. Cancer Prev Res (Phila). 2013;6:656–665.CrossRef Carmona FJ, Azuara D, Berenguer-Llergo A, et al. DNA methylation biomarkers for noninvasive diagnosis of colorectal cancer. Cancer Prev Res (Phila). 2013;6:656–665.CrossRef
19.
go back to reference Zou H, Harrington JJ, Shire AM, et al. Highly methylated genes in colorectal neoplasia: implications for screening. Cancer Epidemiol Biomark Prev. 2007;16:2686–2696.CrossRef Zou H, Harrington JJ, Shire AM, et al. Highly methylated genes in colorectal neoplasia: implications for screening. Cancer Epidemiol Biomark Prev. 2007;16:2686–2696.CrossRef
20.
go back to reference Kim MS, Lee J, Sidransky D. DNA methylation markers in colorectal cancer. Cancer Metastasis Rev. 2010;29:181–206.CrossRef Kim MS, Lee J, Sidransky D. DNA methylation markers in colorectal cancer. Cancer Metastasis Rev. 2010;29:181–206.CrossRef
21.
go back to reference Gyparaki MT, Basdra EK, Papavassiliou AG. DNA methylation biomarkers as diagnostic and prognostic tools in colorectal cancer. J Mol Med (Berl). 2013;91:1249–1256.CrossRef Gyparaki MT, Basdra EK, Papavassiliou AG. DNA methylation biomarkers as diagnostic and prognostic tools in colorectal cancer. J Mol Med (Berl). 2013;91:1249–1256.CrossRef
22.
go back to reference Coppede F. Epigenetic biomarkers of colorectal cancer: focus on DNA methylation. Cancer Lett. 2014;342:238–247.CrossRef Coppede F. Epigenetic biomarkers of colorectal cancer: focus on DNA methylation. Cancer Lett. 2014;342:238–247.CrossRef
23.
go back to reference Weber M, Davies JJ, Wittig D, et al. Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells. Nat Genet. 2005;37:853–862.CrossRef Weber M, Davies JJ, Wittig D, et al. Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells. Nat Genet. 2005;37:853–862.CrossRef
24.
go back to reference Mitchell SM, Ross JP, Drew HR, et al. A panel of genes methylated with high frequency in colorectal cancer. BMC Cancer. 2014;14:54.CrossRef Mitchell SM, Ross JP, Drew HR, et al. A panel of genes methylated with high frequency in colorectal cancer. BMC Cancer. 2014;14:54.CrossRef
25.
go back to reference Zhao X, Jen J, Peikert T. Selection of sensitive methylation markers for the detection of non-small cell lung cancer. J Mol Biomark Diagn. 2015;06:1.CrossRef Zhao X, Jen J, Peikert T. Selection of sensitive methylation markers for the detection of non-small cell lung cancer. J Mol Biomark Diagn. 2015;06:1.CrossRef
26.
go back to reference Hubers AJ, Heideman DA, Burgers SA, et al. DNA hypermethylation analysis in sputum for the diagnosis of lung cancer: training validation set approach. Br J Cancer. 2015;112:1105–1113.CrossRef Hubers AJ, Heideman DA, Burgers SA, et al. DNA hypermethylation analysis in sputum for the diagnosis of lung cancer: training validation set approach. Br J Cancer. 2015;112:1105–1113.CrossRef
27.
go back to reference Costa-Pinheiro P, Montezuma D, Henrique R, Jeronimo C. Diagnostic and prognostic epigenetic biomarkers in cancer. Epigenomics. 2015;7:1003–1015.CrossRef Costa-Pinheiro P, Montezuma D, Henrique R, Jeronimo C. Diagnostic and prognostic epigenetic biomarkers in cancer. Epigenomics. 2015;7:1003–1015.CrossRef
28.
go back to reference Ahlquist DA, Zou H, Domanico M, et al. Next-generation stool DNA test accurately detects colorectal cancer and large adenomas. Gastroenterology. 2012;142:248–256. quiz e225–246.CrossRef Ahlquist DA, Zou H, Domanico M, et al. Next-generation stool DNA test accurately detects colorectal cancer and large adenomas. Gastroenterology. 2012;142:248–256. quiz e225–246.CrossRef
29.
go back to reference Anderson BW, Suh YS, Choi B, et al. Detection of gastric cancer with novel methylated DNA Markers: discovery, tissue validation, and pilot testing in plasma. Clin Cancer Res. 2018;24:5724–5734.CrossRef Anderson BW, Suh YS, Choi B, et al. Detection of gastric cancer with novel methylated DNA Markers: discovery, tissue validation, and pilot testing in plasma. Clin Cancer Res. 2018;24:5724–5734.CrossRef
30.
go back to reference Ausch C, Kim YH, Tsuchiya KD, et al. Comparative analysis of PCR-based biomarker assay methods for colorectal polyp detection from fecal DNA. Clin Chem. 2009;55:1559–1563.CrossRef Ausch C, Kim YH, Tsuchiya KD, et al. Comparative analysis of PCR-based biomarker assay methods for colorectal polyp detection from fecal DNA. Clin Chem. 2009;55:1559–1563.CrossRef
31.
go back to reference Chang E, Park DI, Kim YJ, et al. Detection of colorectal neoplasm using promoter methylation of ITGA4, SFRP2, and p16 in stool samples: a preliminary report in Korean patients. Hepatogastroenterology. 2010;57:720–727.PubMed Chang E, Park DI, Kim YJ, et al. Detection of colorectal neoplasm using promoter methylation of ITGA4, SFRP2, and p16 in stool samples: a preliminary report in Korean patients. Hepatogastroenterology. 2010;57:720–727.PubMed
32.
go back to reference Naumov VA, Generozov EV, Zaharjevskaya NB, et al. Genome-scale analysis of DNA methylation in colorectal cancer using Infinium HumanMethylation450 BeadChips. Epigenetics. 2013;8:921–934.CrossRef Naumov VA, Generozov EV, Zaharjevskaya NB, et al. Genome-scale analysis of DNA methylation in colorectal cancer using Infinium HumanMethylation450 BeadChips. Epigenetics. 2013;8:921–934.CrossRef
33.
go back to reference Park J, Song SH, Kim TY, et al. Aberrant methylation of integrin alpha4 gene in human gastric cancer cells. Oncogene. 2004;23:3474–3480.CrossRef Park J, Song SH, Kim TY, et al. Aberrant methylation of integrin alpha4 gene in human gastric cancer cells. Oncogene. 2004;23:3474–3480.CrossRef
34.
go back to reference Ren S, Gaykalova D, Wang J, et al. Discovery and development of differentially methylated regions in human papillomavirus-related oropharyngeal squamous cell carcinoma. Int J Cancer. 2018;143:2425–2436.CrossRef Ren S, Gaykalova D, Wang J, et al. Discovery and development of differentially methylated regions in human papillomavirus-related oropharyngeal squamous cell carcinoma. Int J Cancer. 2018;143:2425–2436.CrossRef
35.
go back to reference Yu J, Zhu T, Wang Z, et al. A novel set of DNA methylation markers in urine sediments for sensitive/specific detection of bladder cancer. Clin Cancer Res. 2007;13:7296–7304.CrossRef Yu J, Zhu T, Wang Z, et al. A novel set of DNA methylation markers in urine sediments for sensitive/specific detection of bladder cancer. Clin Cancer Res. 2007;13:7296–7304.CrossRef
36.
go back to reference Lian ZQ, Wang Q, Li WP, Zhang AQ, Wu L. Screening of significantly hypermethylated genes in breast cancer using microarray-based methylated-CpG island recovery assay and identification of their expression levels. Int J Oncol. 2012;41:629–638.CrossRef Lian ZQ, Wang Q, Li WP, Zhang AQ, Wu L. Screening of significantly hypermethylated genes in breast cancer using microarray-based methylated-CpG island recovery assay and identification of their expression levels. Int J Oncol. 2012;41:629–638.CrossRef
37.
go back to reference Zhang X, Song YF, Lu HN, et al. Combined detection of plasma GATA5 and SFRP2 methylation is a valid noninvasive biomarker for colorectal cancer and adenomas. World J Gastroenterol. 2015;21:2629–2637.CrossRef Zhang X, Song YF, Lu HN, et al. Combined detection of plasma GATA5 and SFRP2 methylation is a valid noninvasive biomarker for colorectal cancer and adenomas. World J Gastroenterol. 2015;21:2629–2637.CrossRef
38.
go back to reference Barault L, Amatu A, Siravegna G, et al. Discovery of methylated circulating DNA biomarkers for comprehensive non-invasive monitoring of treatment response in metastatic colorectal cancer. Gut. 2018;67:1995–2005.CrossRef Barault L, Amatu A, Siravegna G, et al. Discovery of methylated circulating DNA biomarkers for comprehensive non-invasive monitoring of treatment response in metastatic colorectal cancer. Gut. 2018;67:1995–2005.CrossRef
39.
go back to reference Fischer G, Schmidt C, Opitz J, Cully Z, Kuhn K, Poschl E. Identification of a novel sequence element in the common promoter region of human collagen type IV genes, involved in the regulation of divergent transcription. Biochem J. 1993;292:687–695.CrossRef Fischer G, Schmidt C, Opitz J, Cully Z, Kuhn K, Poschl E. Identification of a novel sequence element in the common promoter region of human collagen type IV genes, involved in the regulation of divergent transcription. Biochem J. 1993;292:687–695.CrossRef
Metadata
Title
High-Yield Methylation Markers for Stool-Based Detection of Colorectal Cancer
Authors
Xianglin Liu
Jialing Wen
Chujun Li
Hui Wang
Jianping Wang
Hongzhi Zou
Publication date
01-06-2020
Publisher
Springer US
Published in
Digestive Diseases and Sciences / Issue 6/2020
Print ISSN: 0163-2116
Electronic ISSN: 1573-2568
DOI
https://doi.org/10.1007/s10620-019-05908-9

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