Prospective evaluation of methylated SEPT9 in plasma for detection of asymptomatic colorectal cancer

Timothy Robert Church, Michael Wandell, Catherine Lofton-Day, Steven J Mongin, Matthias Burger, Shannon R Payne, Esmeralda Castaños-Vélez, Brent A Blumenstein, Thomas Rösch, Neal Osborn, Dale Snover, Robert W Day, David F Ransohoff, PRESEPT Clinical Study Steering Committee, Investigators and Study Team, John I Allen, Alireza Aminalai, Jens Aschenbeck, Bhaskar Banerjee, Robert Lawrence Barclay, Roland William Bennetts Jr, Berndt Birkner, Michael Bläker, Carl-Hermann Bothe, Jens-Peter Bruhn, William Charles Bray, Timothy R Church, Ralph Czekalla, Matthias Ebert, T Raymond Foley, W Stewart Futch Jr, Harvey A Giller, William R Harlan 3rd, William K Hirota, Reed B Hogan, Beate Keck, Phillip Kiyasu, Burton Lazar, James Leavitt, Michael Mayr, Sam E Moussa, Neal Osborn, Daniel Pambianco, Joseph Romagnuolo, Thomas Rösch, Miroslav Ryschka, Mathias Scheel, Andreas Schröder, Stefan Schubert, John Wo, Robert Wohlman, N W Gastroenterology, Ziad Younes, Andrew Zwick, Thomas Rösch, Steven J Mongin, Matthias Burger, Esmeralda Heiden, Shannon Payne, Douglas Rex, Philip Schoenfeld, Richard Wender, Deborah Fisher, Scott Ramsey, Fred Hutchinson, David Ransohoff, Neal Osborn, Timothy Church, M N School, Brent Blumenstein, Dale Snover, Thomas Rösch, Robert Day, Michael Wandell, Catherine Lofton-Day, Timothy Robert Church, Michael Wandell, Catherine Lofton-Day, Steven J Mongin, Matthias Burger, Shannon R Payne, Esmeralda Castaños-Vélez, Brent A Blumenstein, Thomas Rösch, Neal Osborn, Dale Snover, Robert W Day, David F Ransohoff, PRESEPT Clinical Study Steering Committee, Investigators and Study Team, John I Allen, Alireza Aminalai, Jens Aschenbeck, Bhaskar Banerjee, Robert Lawrence Barclay, Roland William Bennetts Jr, Berndt Birkner, Michael Bläker, Carl-Hermann Bothe, Jens-Peter Bruhn, William Charles Bray, Timothy R Church, Ralph Czekalla, Matthias Ebert, T Raymond Foley, W Stewart Futch Jr, Harvey A Giller, William R Harlan 3rd, William K Hirota, Reed B Hogan, Beate Keck, Phillip Kiyasu, Burton Lazar, James Leavitt, Michael Mayr, Sam E Moussa, Neal Osborn, Daniel Pambianco, Joseph Romagnuolo, Thomas Rösch, Miroslav Ryschka, Mathias Scheel, Andreas Schröder, Stefan Schubert, John Wo, Robert Wohlman, N W Gastroenterology, Ziad Younes, Andrew Zwick, Thomas Rösch, Steven J Mongin, Matthias Burger, Esmeralda Heiden, Shannon Payne, Douglas Rex, Philip Schoenfeld, Richard Wender, Deborah Fisher, Scott Ramsey, Fred Hutchinson, David Ransohoff, Neal Osborn, Timothy Church, M N School, Brent Blumenstein, Dale Snover, Thomas Rösch, Robert Day, Michael Wandell, Catherine Lofton-Day

Abstract

Background: As screening methods for colorectal cancer (CRC) are limited by uptake and adherence, further options are sought. A blood test might increase both, but none has yet been tested in a screening setting.

Objective: We prospectively assessed the accuracy of circulating methylated SEPT9 DNA (mSEPT9) for detecting CRC in a screening population.

Design: Asymptomatic individuals ≥50 years old scheduled for screening colonoscopy at 32 US and German clinics voluntarily gave blood plasma samples before colon preparation. Using a commercially available assay, three independent blinded laboratories assayed plasma DNA of all CRC cases and a stratified random sample of other subjects in duplicate real time PCRs. The primary outcomes measures were standardised for overall sensitivity and specificity estimates.

Results: 7941 men (45%) and women (55%), mean age 60 years, enrolled. Results from 53 CRC cases and from 1457 subjects without CRC yielded a standardised sensitivity of 48.2% (95% CI 32.4% to 63.6%; crude rate 50.9%); for CRC stages I-IV, values were 35.0%, 63.0%, 46.0% and 77.4%, respectively. Specificity was 91.5% (95% CI 89.7% to 93.1%; crude rate 91.4%). Sensitivity for advanced adenomas was low (11.2%).

Conclusions: Our study using the blood based mSEPT9 test showed that CRC signal in blood can be detected in asymptomatic average risk individuals undergoing screening. However, the utility of the test for population screening for CRC will require improved sensitivity for detection of early cancers and advanced adenomas.

Clinical trial registration number: NCT00855348.

Keywords: Colonoscopy; Colorectal Adenomas; Colorectal Cancer Screening; Colorectal Neoplasm; Methylation.

Figures

Figure 1
Figure 1
Enhanced STAndards for the Reporting of Diagnostic accuracy studies (STARD) diagram of the disposition of subjects in the study, based on the template at http://www.stard-statement.org. aGerman law requires that data from subjects in Germany who withdrew cannot be retained or used for study purposes. bCR, colorectal. cSample either had too little volume or was unusable. dHGD, high grade dysplasia. eCases selected for laboratory analysis in a stratified random sampling.
Figure 2
Figure 2
PRospective Evaluation of SEPT (PRESEPT) results: target population and study subjects, age–sex distribution. Target sample and study sample distributions compared by sex and 5 year intervals of age at enrolment from 50 to 80 years (50–54, 55–59, etc). For the PRESEPT study sample (n=1516), the lowest interval of age (50, 55 years) includes one subject aged

Figure 3

Methylated SEPT9 (mSEPT9) positivity rates…

Figure 3

Methylated SEPT9 (mSEPT9) positivity rates by clinical findings. mSEPT9 assay positivity estimates and…

Figure 3
Methylated SEPT9 (mSEPT9) positivity rates by clinical findings. mSEPT9 assay positivity estimates and 95% CI by outcome category, standardised to the target population. Dot represents point estimate (Est), bars represent 95% CI. AA, advanced adenomas; CRC, colorectal cancer; HGD, high grade dysplasia; NA, non-advanced adenomas; NED, no evidence of disease; Test, raw result of assay; P, number of positive assays; Tot, number of valid measurements.

Figure 4

Methylated SEPT9 (mSEPT9) assay positivity…

Figure 4

Methylated SEPT9 (mSEPT9) assay positivity estimates by age, sex and clinical findings. Comparing…

Figure 4
Methylated SEPT9 (mSEPT9) assay positivity estimates by age, sex and clinical findings. Comparing mSEPT9 assay positivity estimates and 95% CI by age group and outcome category and by sex and outcome category, standardised to the target population. Dot represents point estimate (Est), bars represent 95% CI. AA, advanced adenomas; CRC, colorectal cancer; HGD, high grade dysplasia; NA, non-advanced adenomas; NED, no evidence of disease; Test, raw results of assay; P, number of positive assays; Tot, number of valid measurements.
Figure 3
Figure 3
Methylated SEPT9 (mSEPT9) positivity rates by clinical findings. mSEPT9 assay positivity estimates and 95% CI by outcome category, standardised to the target population. Dot represents point estimate (Est), bars represent 95% CI. AA, advanced adenomas; CRC, colorectal cancer; HGD, high grade dysplasia; NA, non-advanced adenomas; NED, no evidence of disease; Test, raw result of assay; P, number of positive assays; Tot, number of valid measurements.
Figure 4
Figure 4
Methylated SEPT9 (mSEPT9) assay positivity estimates by age, sex and clinical findings. Comparing mSEPT9 assay positivity estimates and 95% CI by age group and outcome category and by sex and outcome category, standardised to the target population. Dot represents point estimate (Est), bars represent 95% CI. AA, advanced adenomas; CRC, colorectal cancer; HGD, high grade dysplasia; NA, non-advanced adenomas; NED, no evidence of disease; Test, raw results of assay; P, number of positive assays; Tot, number of valid measurements.

References

    1. Jemal A, Siegel R, Xu J, et al. Cancer statistics, 2010. CA Cancer J Clin 2010;60:277–300
    1. Ferlay J, Autier P, Boniol M, et al. Estimates of the cancer incidence and mortality in Europe in 2006. Ann Oncol 2007;18:581–92.
    1. Baylin SB, Esteller M, Rountree MR, et al. Aberrant patterns of DNA methylation, chromatin formation and gene expression in cancer. Hum Mol Genet 2001;10:687–92
    1. Ebert MP, Mooney SH, Tonnes-Priddy L, et al. Hypermethylation of the TPEF/HPP1 gene in primary and metastatic colorectal cancers. Neoplasia 2005;7:771–8
    1. Momparler RL. Cancer epigenetics. Oncogene 2003;22:6479–83
    1. Esteller M. Relevance of DNA methylation in the management of cancer. Lancet Oncol 2003;4:351–8
    1. Zou HZ, Yu BM, Wang ZW, et al. Detection of aberrant p16 methylation in the serum of colorectal cancer patients. Clin Cancer Res 2002;8:188–91
    1. Lofton-Day C, Model F, Devos T, et al. DNA methylation biomarkers for blood-based colorectal cancer screening. Clin Chem 2008;54:414–23
    1. Grutzmann R, Molnar B, Pilarsky C, et al. Sensitive detection of colorectal cancer in peripheral blood by septin 9 DNA methylation assay. PLoS One 2008;3:e3759.
    1. deVos T, Tetzner R, Model F, et al. Circulating methylated SEPT9 DNA in plasma is a biomarker for colorectal cancer. Clin Chem 2009;55:1337–46
    1. PRESEPT Study: Evaluation of SEPT9 Biomarker Performance for Colorectal Cancer Screening. (accessed 3 Feb 2013).
    1. Levin B, Lieberman DA, McFarland B, 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. Gastroenterol 2008;134:1570–95
    1. Rösch T, Weiss G. Potential of a new blood test for colorectal cancer screening—the septin 9 gene biomarker. Eur Oncol 2009;6:51–4
    1. American Joint Committee on Cancer AJCC cancer staging manual, 7th edn. New York, NY: Springer, 2010
    1. US Census Bureau. 2003. Monthly Population Estimates, 2000 to 2003 (for 1 July 2000) (accessed 3 Feb 2013).
    1. US Census Bureau International Data Base (IDB), 2009. (accessed 3 Feb 2013).
    1. Rothman KJ, Greenland S, eds. Modern epidemiology, 2nd Edn. Philadelphia, PA: Lippincott-Raven, 1998
    1. Szklo M, Nieto FJ. Epidemiology: beyond the basics. Gaithersburg, Maryland: Aspen, 2000
    1. Horvitz D, Thompson D. A generalization of sampling without replacement from a finite universe. J Am Stat Assoc 1952;47:663–85
    1. Efron B, Tibshirani RJ. An introduction to the bootstrap. New York: Chapman and Hall, 1993
    1. Clopper CJ, Pearson ES. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika 1934;26:404–13
    1. R Development Core Team R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing, 2010
    1. Bossuyt PM, Reitsma JB, Bruns DE, et al. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. BMJ 2003;326:41–4
    1. Warren J, Xiong W, Bunker A, et al. Septin 9 methylated DNA is a sensitive and specific blood test for colorectal cancer. BMC Medicine 2011;9:133.
    1. Tao S, Hundt S, Haug U, et al. Sensitivity estimates of blood-based tests for colorectal cancer detection: impact of overrepresentation of advanced stage disease. Am J Gastroenterol 2011;106:242–53
    1. Mandel JS, Bond JH, Church TR, et al. Reducing mortality from colorectal cancer by screening for fecal occult blood. N Engl J Med 1993;328:1365–71 [erratum N Engl J Med 1993;329:672]
    1. Kronborg O, Fenger C, Olsen J, et al. Randomised study of screening for colorectal cancer with faecal-occult-blood test. Lancet 1996;348:1467–71
    1. Hardcastle JD, Chamberlain JO, Robinson MH, et al. Randomised controlled trial of faecal-occult-blood screening for colorectal cancer. Lancet 1996;348:1472–7
    1. Mandel JS, Church TR, Ederer F, et al. Colorectal cancer mortality: effectiveness of biennial screening for fecal occult blood. J Natl Cancer Inst 1999;91:434–7
    1. Mandel JS, Church TR, Bond JH, et al. The effect of fecal occult-blood screening on the incidence of colorectal cancer. N Engl J Med 2000;343:1603–7
    1. Atkin WS, Edwards R, Kralj-Hans I, et al. Once-only flexible sigmoidoscopy screening in prevention of colorectal cancer: a multicentre randomised controlled trial. Lancet 2010;375:1624–33
    1. Shapiro JA, Seeff LC, Thompson TD, et al. Colorectal cancer test use from the 2005 National Health Interview Survey. Cancer Epidemiol Biomarkers Prev 2008;17:1623–30
    1. Wuppermann D, Wuppermann U, Riemann J. Actual state of knowledge of the german population about the early detection of colorectal cancer—a study by the "Stiftung LebensBlicke" in cooperation with the institute for demoscopy in Allensbach. Z Gastroenterol 2009;47:1132–6
    1. Benson VS, Patnick J, Davies AK, et al. Colorectal cancer screening: a comparison of 35 initiatives in 17 countries. Int J Cancer 2008;122:1357–67
    1. Whitlock EP, Lin JS, Liles E, et al. Screening for colorectal cancer: a targeted, updated systematic review for the U.S. Preventive Services Task Force. Ann Intern Med 2008;149:638–58
    1. Zhu MM, Xu XT, Nie F, et al. Comparison of immunochemical and guaiac-based fecal occult blood test in screening and surveillance for advanced colorectal neoplasms: a meta-analysis. J Dig Dis 2010;11:148–60
    1. Vart G, Banzi R, Minozzi S. Comparing participation rates between immunochemical and guaiac faecal occult blood tests: a systematic review and meta-analysis. Prev Med 2012;55:87–92
    1. National Institute for Pubic Health and the Environment Bowel cancer screening programme: ministry of Health. The Netherlands: Welfare and Sport, 2011
    1. Ahlquist DA, Zou H, Domanico M, et al. Next-generation stool DNA test accurately detects colorectal cancer and large adenomas. Gastroenterology 2012;142:248–56
    1. Ahlquist DA, Taylor WR, Mahoney DW, et al. The stool DNA test is more accurate than the plasma septin 9 test in detecting colorectal neoplasia. Clin Gastroenterol Hepatol 2012;10:272–7e1
    1. Pignone M, Russell L, Wagner J, eds. Economic models of colorectal cancer screening in average-risk adults: workshop summary. Washington, DC: National Academies Press, 2005
    1. Zauber AG, Lansdorp-Vogelaar I, Knudsen AB, et al. Evaluating test strategies for colorectal cancer screening: a decision analysis for the U.S. Preventive Services Task Force. Ann Intern Med 2008;149:659–69
    1. Ahlquist DA, Shuber AP. Stool screening for colorectal cancer: evolution from occult blood to molecular markers. Clin Chim Acta 2002;315:157–68

Source: PubMed

3
Subskrybuj