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Licensed Unlicensed Requires Authentication Published by De Gruyter July 16, 2020

A systematic evaluation of stool DNA preparation protocols for colorectal cancer screening via analysis of DNA methylation biomarkers

  • Shengnan Jin , Qian Ye , Yanping Hong , Wenqing Dai , Chengliang Zhang , Weihao Liu , Ying Guo , Dewen Zhu , Zhengzheng Zhang , Shiliang Chen , Yourong Wang , Dandan Li , Wen Ma , Zhengquan Yang , Jinlei Li , Zhihai Zheng , Ju Luan , Xiaoli Wu , Feizhao Jiang , Chang Xu EMAIL logo and Chunming Ding EMAIL logo

Abstract

Objectives

Colorectal cancer (CRC) screening using stool samples is now in routine use where tumor DNA methylation analysis for leading markers such as NDRG4 and SDC2 is an integral part of the test. However, processing stool samples for reproducible and efficient extraction of human genomic DNA remains a bottleneck for further research into better biomarkers and assays.

Methods

We systematically evaluated several factors involved in the processing of stool samples and extraction of DNA. These factors include: stool processing (solid and homogenized samples), preparation of DNA from supernatant and pellets, and DNA extraction with column and magnetic beads-based methods. Furthermore, SDC2 and NDRG4 methylation levels were used to evaluate the clinical performance of the optimal protocol.

Results

The yield of total and human genomic DNA (hgDNA) was not reproducible when solid stool scraping is used, possibly due to sampling variations. More reproducible results were obtained from homogenized stool samples. Magnetic beads-based DNA extraction using the supernatant from the homogenized stool was chosen for further analysis due to better reproducibility, higher hgDNA yield, lower non-hgDNA background, and the potential for automation. With this protocol, a combination of SDC2 and NDRG4 methylation signals with a linear regression model achieved a sensitivity and specificity of 81.82 and 93.75%, respectively.

Conclusions

Through the systematic evaluation of different stool processing and DNA extraction methods, we established a reproducible protocol for analyzing tumor DNA methylation markers in stool samples for colorectal cancer screening.


Corresponding authors: Chunming Ding, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, Wenzhou, P.R. China; Key Laboratory of Laboratory Medicine, Ministry of Education, Wenzhou Medical University, Wenzhou, Zhejiang, PR China, Phone: +86 577 86690891, Fax: +86 577 86699779, E-mail: ; and Chang Xu, Department of Colorectal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, PR China, E-mail:
Shengnan Jin and Qian Ye are joint first authors.

Award Identifier / Grant number: 81672922

Funding source: Medical Health Science and Technology Project of Zhejiang Provincial Health Commission

Award Identifier / Grant number: 2017174160

Funding source: Wenzhou Science and Technology Bureau

Award Identifier / Grant number: Y20160044

Award Identifier / Grant number: 2018ZY005

Funding source: High-Level Innovation Team of Universities in Zhejiang Province

Award Identifier / Grant number: 604090352/610

Funding source: Innovation Discipline of Zhejiang Province in Nucleic Acid Molecular Diagnostics

Award Identifier / Grant number: 437201702G

Funding source: Key Discipline of Zhejiang Province in Medical Technology

Award Identifier / Grant number: 437601607

Acknowledgments

We would like to thank all the patients who participated in the studay and all the support from the doctors and nurses for the collection of samples.

  1. Research funding: This work was supported by the National Natural Sciences Foundation of China (CD: No. 81672922), Medical Health Science and Technology Project of Zhejiang Provincial Health Commission (CX: No. 2017174160), Wenzhou Science and Technology Bureau (CD: No. 2018ZY005; CX: No. Y20160044), High-Level Innovation Team of Universities in Zhejiang Province (CD, No. 604090352/610), Innovation Discipline of Zhejiang Province in Nucleic Acid Molecular Diagnostics (CD: No. 437201702G) and Key Discipline of Zhejiang Province in Medical Technology (Fist Class, Category A) (CD: No. 437601607).

  2. Author contributions: Shengnan Jin, Chang Xu and Chunming Ding: design of the project, data interpretation, writing of the manuscript; Qian Ye: performance of lab work and interpretation of data, writing of the manuscript; Zhengzheng Zhang, Shiliang Chen, Yourong Wang, Dandan Li, Wen Ma, Yanping Hong, Dewen Zhu, Wenqing Dai, Chengliang Zhang, Weihao Liu and Ying Guo: sample collection and clinical database curation; Zhengquan Yang, Jinlei Li, Ju Luan, Xiaoli Wu, Feizhao Jiang and Zhihai Zheng: patient enrollment. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: The study was approved by the Clinical Research Ethics of the First Affiliated Hospital of Wenzhou Medical University.

References

1. Siegel, RL, Miller, KD, Jemal, A. Cancer statistics, 2020. CA Cancer J Clin 2020;70:7–30. https://doi.org/10.3322/caac.21590.Search in Google Scholar PubMed

2. Chen, W, Zheng, R, Baade, PD, Zhang, S, Zeng, H, Bray, F, et al. Cancer statistics in China, 2015. CA Cancer J Clin 2016;66:115–32. https://doi.org/10.3322/caac.21338.Search in Google Scholar PubMed

3. Adler, A, Geiger, S, Keil, A, Bias, H, Schatz, P, deVos, T, et al. Improving compliance to colorectal cancer screening using blood and stool based tests in patients refusing screening colonoscopy in Germany. BMC Gastroenterol 2014;14:183. https://doi.org/10.1186/1471-230x-14-183.Search in Google Scholar PubMed PubMed Central

4. Kahi, CJ, Imperiale, TF, Juliar, BE, Rex, DK. Effect of screening colonoscopy on colorectal cancer incidence and mortality. Clin Gastroenterol Hepatol 2009;7:770–5. https://doi.org/10.1016/j.cgh.2008.12.030.Search in Google Scholar PubMed

5. Osborn, NK, Ahlquist, DA. Stool screening for colorectal cancer: molecular approaches. Gastroenterology 2005;128:192–206. https://doi.org/10.1053/j.gastro.2004.10.041.Search in Google Scholar PubMed

6. Rex, DK, Johnson, DA, Anderson, JC, Schoenfeld, PS, Burke, CA, Inadomi, JM. American College of Gastroenterology guidelines for colorectal cancer screening 2009 [corrected]. Am J Gastroenterol 2009;104:739–50. https://doi.org/10.1038/ajg.2009.104.Search in Google Scholar PubMed

7. Levin, B, Lieberman, DA, McFarland, B, Andrews, KS, Brooks, D, Bond, J, et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-society Task Force on colorectal cancer, and the American College of Radiology. Gastroenterology 2008;134:1570–95. https://doi.org/10.1053/j.gastro.2008.02.002.Search in Google Scholar PubMed

8. Morikawa, T, Kato, J, Yamaji, Y, Wada, R, Mitsushima, T, Shiratori, Y. A comparison of the immunochemical fecal occult blood test and total colonoscopy in the asymptomatic population. Gastroenterology 2005;129:422–8. https://doi.org/10.1053/j.gastro.2005.05.056.Search in Google Scholar

9. Ahlquist, DA, Sargent, DJ, Loprinzi, CL, Levin, TR, Rex, DK, Ahnen, DJ, et al. Stool DNA and occult blood testing for screen detection of colorectal neoplasia. Ann Intern Med 2008;149:441–50. w81. https://doi.org/10.7326/0003-4819-149-7-200810070-00004.Search in Google Scholar PubMed PubMed Central

10. Simon, JB. Fecal occult blood testing: clinical value and limitations. Gastroenterologist 1998;6:66–78.Search in Google Scholar

11. Pritchard, CC. Colorectal cancer molecular biology moves into clinical practice. Gut 2011;60:116–29. https://doi.org/10.1136/gut.2009.206250.Search in Google Scholar PubMed PubMed Central

12. Ahlquist, DA. Molecular detection of colorectal neoplasia. Gastroenterology 2010;138:2127–39. https://doi.org/10.1053/j.gastro.2010.01.055.Search in Google Scholar

13. Johnson, DH, Taylor, WR, Aboelsoud, MM, Foote, PH, Yab, TC, Cao, X, et al. DNA methylation and mutation of small colonic neoplasms in ulcerative Colitis and Crohn’s colitis: implications for surveillance. Inflamm Bowel Dis 2016;22:1559–67. https://doi.org/10.1097/mib.0000000000000795.Search in Google Scholar

14. Zou, H, Harrington, JJ, Klatt, KK, Ahlquist, DA. A sensitive method to quantify human long DNA in stool: relevance to colorectal cancer screening. Cancer Epidemiol Biomarkers Prev 2006;15:1115–9. https://doi.org/10.1158/1055-9965.epi-05-0992.Search in Google Scholar

15. Wang, DR, Tang, D. Hypermethylated SFRP2 gene in fecal DNA is a high potential biomarker for colorectal cancer non-invasive screening. World J Gastroenterol 2008;14:524–31. https://doi.org/10.3748/wjg.14.524.Search in Google Scholar

16. Glockner, SC, Dhir, M, Yi, JM, McGarvey, KE, Van Neste, L, Louwagie, J, et al. Methylation of TFPI2 in stool DNA: a potential novel biomarker for the detection of colorectal cancer. Cancer Res 2009;69:4691–9. https://doi.org/10.1158/0008-5472.can-08-0142.Search in Google Scholar

17. Ahlquist, DA, Zou, H, Domanico, M, Mahoney, DW, Yab, TC, Taylor, WR, et al. Next-generation stool DNA test accurately detects colorectal cancer and large adenomas. Gastroenterology 2012;142:248–56. quiz e25–6. https://doi.org/10.1053/j.gastro.2011.10.031.Search in Google Scholar

18. Niu, F, Wen, J, Fu, X, Li, C, Zhao, R, Wu, S, et al. Stool DNA test of methylated syndecan-2 for the early detection of colorectal neoplasia. Cancer Epidemiol Biomarkers Prev 2017;26:1411–19. https://doi.org/10.1158/1055-9965.epi-17-0153.Search in Google Scholar

19. Imperiale, TF, Ransohoff, DF, Itzkowitz, SH, Levin, TR, Lavin, P, Lidgard, GP, et al. Multitarget stool DNA testing for colorectal-cancer screening. N Engl J Med 2014;370:1287–97. https://doi.org/10.1056/nejmoa1311194.Search in Google Scholar

20. Whitney, D, Skoletsky, J, Moore, K, Boynton, K, Kann, L, Brand, R, et al. Enhanced retrieval of DNA from human fecal samples results in improved performance of colorectal cancer screening test. J Mol Diagn 2004;6:386–95. https://doi.org/10.1016/s1525-1578(10)60536-3.Search in Google Scholar

21. Ratto, C, Flamini, G, Sofo, L, Nucera, P, Ippoliti, M, Curigliano, G, et al. Detection of oncogene mutation from neoplastic colonic cells exfoliated in feces. Dis Colon Rectum 1996;39:1238–44. https://doi.org/10.1007/bf02055116.Search in Google Scholar PubMed

22. Vogelstein, B, Kinzler, KW. Digital PCR. Proc Natl Acad Sci USA 1999;96:9236–41. https://doi.org/10.1073/pnas.96.16.9236.Search in Google Scholar PubMed PubMed Central

23. Olson, J, Whitney, DH, Durkee, K, Shuber, AP. DNA stabilization is critical for maximizing performance of fecal DNA-based colorectal cancer tests. Diagn Mol Pathol 2005;14:183–91. https://doi.org/10.1097/01.pas.0000176768.18423.7e.Search in Google Scholar PubMed

24. Jin, S, Lin, XM, Law, H, Kwek, KY, Yeo, GS, Ding, C. Further improvement in quantifying male fetal DNA in maternal plasma. Clin Chem 2012;58:465–8. https://doi.org/10.1373/clinchem.2011.174417.Search in Google Scholar PubMed

25. Zou, H, Taylor, WR, Harrington, JJ, Hussain, FT, Cao, X, Loprinzi, CL, et al. High detection rates of colorectal neoplasia by stool DNA testing with a novel digital melt curve assay. Gastroenterology 2009;136:459–70. https://doi.org/10.1053/j.gastro.2008.10.023.Search in Google Scholar PubMed

26. Bosch, LJW, Melotte, V, Mongera, S, Daenen, KLJ, Coupe, VMH, van Turenhout, ST, et al. Multitarget stool DNA test performance in an average-risk colorectal cancer screening population. Am J Gastroenterol 2019;114:1909–18. https://doi.org/10.14309/ajg.0000000000000445.Search in Google Scholar PubMed PubMed Central

27. Chang, PY, Chen, CC, Chiang, JM, Chang, SC, Wang, MC, Chen, JS, et al. A simple and highly specific MassARRAY-based stool DNA assay to prioritize follow-up decisions in fecal immunochemical test-positive individuals. Cancers (Basel) 2019;11:423. https://doi.org/10.3390/cancers11030423.Search in Google Scholar PubMed PubMed Central

28. Pakbaz, B, Jabinin, R, Soltani, N, Ayatollahi, H, Farzanehfar, MR. Quantitative study of vimentin gene methylation in stool samples for colorectal cancer screening. J Adv Pharm Technol Res 2019;10:121–5.10.4103/japtr.JAPTR_381_18Search in Google Scholar PubMed PubMed Central

29. Oh, TJ, Oh, HI, Seo, YY, Jeong, D, Kim, C, Kang, HW, et al. Feasibility of quantifying SDC2 methylation in stool DNA for early detection of colorectal cancer. Clin Epigenetics 2017;9:126. https://doi.org/10.1186/s13148-017-0426-3.Search in Google Scholar PubMed PubMed Central

30. Claassen, S, du Toit, E, Kaba, M, Moodley, C, Zar, HJ, Nicol, MP. A comparison of the efficiency of five different commercial DNA extraction kits for extraction of DNA from faecal samples. J Microbiol Methods 2013;94:103–10. https://doi.org/10.1016/j.mimet.2013.05.008.Search in Google Scholar PubMed PubMed Central

31. Yu, Z, Morrison, M. Improved extraction of PCR-quality community DNA from digesta and fecal samples. Biotechniques 2004;36:808–12. https://doi.org/10.2144/04365st04.Search in Google Scholar


Supplementary material

The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2020-0300).


Received: 2020-03-11
Accepted: 2020-06-22
Published Online: 2020-07-16
Published in Print: 2021-01-26

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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