The clinical application of colorectal cancer predicted risk online calculator_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

CHEN Xinrong ¹ , LI Xi ² , WANG Xiaodong ³ ,  LI Ka ⁴

1. West China School of Nursing, Sichuan University, Chendu 610041, P. R. China;
2. West China School of Clinical Medicine, Sichuan University, Chendu 610041, P. R. China;
3. Gastrointestinal Surgery Center, West China Hospital of Sichuan University, Chendu 610041, P. R. China;
4. Nursing Department, West China Hospital of Sichuan University, Chendu 610041, P. R. China;

Corresponding author：

LI Ka, Email: likalikal27127@163.com

Keywords：

colorectal cancer; Colorectal Cancer Predicted Risk Online; review

DOI：

10.7507/1007-9424.201805081

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To understand the status of application of Colorectal Cancer Predicted Risk Online (CRC-PRO) in colorectal cancer screening, and to analyze the possible practical value in our country.Methods The research literatures on the colorectal cancer risk prediction tool of CRC-PRO at home and abroad were searched. The overview and application status of this tool were reviewed.Results CRC-PRO could predict the 10-year risk rate of individuals developing colorectal cancer. It could quickly provide clinicians with accurate estimates of patient risk to help clinicians and patients identify screening programs and improve prevention strategies.Conclusions CRC-PRO can not only give specific probability of risk, but also easy to operate. But based on regional differences, in the promotion of CRC-PRO, it is necessary to carry out multi-center research in more diverse populations for more extensive clinical analysis and verification, to further expand the scope of application of this tool.

Citation： CHEN Xinrong, LI Xi, WANG Xiaodong, LI Ka. The clinical application of colorectal cancer predicted risk online calculator. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2019, 26(1): 106-109. doi: 10.7507/1007-9424.201805081 Copy

1.	Smith RA, Andrews KS, Brooks D, et al. Cancer screening in the United States, 2017: a review of current American Cancer Society guidelines and current issues in cancer screening. CA Cancer J Clin, 2017, 67(2): 100-121.
2.	Navarro M, Nicolas A, Ferrandez A, et al. Colorectal cancer population screening programs worldwide in 2016: an update. World J Gastroenterol, 2017, 23(20): 3632-3642.
3.	Day LW, Velayos F. Colorectal cancer screening and surveillance in the elderly: updates and controversies. Gut Liver, 2015, 9(2): 143-151.
4.	Freedman AN, Slattery ML, Ballard-Barbash R, et al. Colorectal cancer risk prediction tool for white men and women without known susceptibility. J Clin Oncol, 2009, 27(5): 686-693.
5.	丁兰君, 赵丽中, 王媛, 等. 中国结直肠癌健康风险评估模型研究. 中国慢性病预防与控制, 2018, 26(5): 325-328.
6.	Iannone A, Losurdo G, Pricci M, et al. Stool Investigations for colorectal cancer screening: from occult blood test to DNA analysis. J Gastrointest Cancer, 2016, 47(2): 143-151.
7.	Robertson DJ, Lee JK, Boland CR, et al. Recommendations on fecal immunochemical testing to screen for colorectal neoplasia: a consensus statement by the US multi-society task force on colorectal cancer. Gastroenterology, 2017, 152(5): 1217-1237.e3.
8.	Hashimoto Y, Zumwalt TJ, Goel A. DNA methylation patterns as noninvasive biomarkers and targets of epigenetic therapies in colorectal cancer. Epigenomics, 2016, 8(5): 685-703.
9.	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(23): 2564-2575.
10.	蒋曦依, 李璐, 唐慧娟, 等. 结直肠癌高危人群多因素风险预测模型及评价. 浙江大学学报: 医学版, 2018, 47(2): 194-200.
11.	Siegel RL, Miller KD, Fedewa SA, et al. Colorectal cancer statistics, 2017. CA Cancer J Clin, 2017, 67(3): 104-117.
12.	张玥, 石菊芳, 黄慧瑶, 等. 中国人群结直肠癌疾病负担分析. 中华流行病学杂志, 2015, 36(7): 709-714.
13.	Pil L, Fobelets M, Putman K, et al. Cost-effectiveness and budget impact analysis of a population-based screening program for colorectal cancer. Eur J Intern Med, 2016, 32: 72-78.
14.	Wells BJ, Kattan MW, Cooper GS, et al. Colorectal cancer predicted risk online (CRC-PRO) calculator using data from the multi-ethnic cohort study. J Am Board Fam Med, 2014, 27(1): 42-55.
15.	Jung YS, Park CH, Kim NH, et al. Identifying the optimal strategy for screening of advanced colorectal neoplasia. J Gastroenterol Hepatol, 2017, 32(5): 1003-1010.
16.	Honein-AbouHaidar GN, Kastner M, Vuong V, et al. Systematic review and meta-study synthesis of qualitative studies evaluating facilitators and barriers to participation in colorectal cancer screening. Cancer Epidemiol Biomarkers Prev, 2016, 25(6): 907-917.
17.	张海燕, 谭婧宇, 梁玲, 等. 重庆地区结直肠癌高危人群结直肠镜免费筛查的依从性及影响因素研究. 重庆医科大学学报, 2016, 41(12): 1263-1267.
18.	袁平, 顾晋. 2006~2015 年中国大肠癌筛查人群依从性的 Meta 分析. 中国肿瘤, 2017, 26(4): 241-248.
19.	Provenzale D, Gupta S, Ahnen DJ, et al. NCCN Guidelines insights: colorectal cancer screening, version 1.2018. J Natl Compr Canc Netw, 2018, 16(8): 939-949.
20.	Win AK, Macinnis RJ, Hopper JL, et al. Risk prediction models for colorectal cancer: a review. Cancer Epidemiol Biomarkers Prev, 2012, 21(3): 398-410.
21.	陆绍龙, 徐艳松, 李辉, 等. 2014-2016 年广西南宁市西乡塘区结直肠癌筛查成本效益分析. 结直肠肛门外科, 2017, 23(6): 698-701.
22.	Colditz GA, Atwood KA, Emmons K, et al. Harvard report on cancer prevention volume 4: Harvard Cancer Risk Index. Risk Index Working Group, Harvard Center for Cancer Prevention. Cancer Causes Control, 2000, 11(6): 477-488.
23.	Yeoh KG, Ho KY, Chiu HM, et al. The Asia-Pacific Colorectal Screening score: a validated tool that stratifies risk for colorectal advanced neoplasia in asymptomatic Asian subjects. Gut, 2011, 60(9): 1236-1241.
24.	Chen S, Wang W, Lee S, et al. Prediction of germline mutations and cancer risk in the Lynch syndrome. JAMA, 2006, 296(12): 1479-1487.
25.	Imperiale TF, Wagner DR, Lin CY, et al. Using risk for advanced proximal colonic neoplasia to tailor endoscopic screening for colorectal cancer. Ann Intern Med, 2003, 139(12): 959-965.
26.	Emmons KM, Wong M, Puleo E, et al. Tailored computer-based cancer risk communication: correcting colorectal cancer risk perception. J Health Commun, 2004, 9(2): 127-141.
27.	Park Y, Freedman AN, Gail MH, et al. Validation of a colorectal cancer risk prediction model among white patients age 50 years and older. J Clin Oncol, 2009, 27(5): 694-698.
28.	Freedman AN, Seminara D, Gail MH, et al. Cancer risk prediction models: a workshop on development, evaluation, and application. J Natl Cancer Inst, 2005, 97(10): 715-723.
29.	Kolonel LN, Henderson BE, Hankin JH, et al. A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics. Am J Epidemiol, 2000, 151(4): 346-357.
30.	Royston P, Altman DG, Sauerbrei W. Dichotomizing continuous predictors in multiple regression: a bad idea. Stat Med, 2006, 25(1): 127-141.
31.	Kattan MW, Zelefsky MJ, Kupelian PA, et al. Pretreatment nomogram for predicting the outcome of three-dimensional conformal radiotherapy in prostate cancer. J Clin Oncol, 2000, 18(19): 3352-3359.
32.	Ness RM, Holmes AM, Klein R, et al. Cost-utility of one-time colonoscopic screening for colorectal cancer at various ages. Am J Gastroenterol, 2000, 95(7): 1800-1811.
33.	汪晓东, 曹霖, 陈珊珊, 等. ACPGBI 结直肠癌评分系统在临床中的应用现状. 中国医师杂志, 2008, 10(9): 1293-1295.
34.	Wong MC, Lam TY, Tsoi KK, et al. A validated tool to predict colorectal neoplasia and inform screening choice for asymptomatic subjects. Gut, 2014, 63(7): 1130-1136.
35.	Chen G, Mao B, Pan Q, et al. Prediction rule for estimating advanced colorectal neoplasm risk in average-risk populations in southern Jiangsu Province. Chin J Cancer Res, 2014, 26(1): 4-11.

1. Smith RA, Andrews KS, Brooks D, et al. Cancer screening in the United States, 2017: a review of current American Cancer Society guidelines and current issues in cancer screening. CA Cancer J Clin, 2017, 67(2): 100-121.
2. Navarro M, Nicolas A, Ferrandez A, et al. Colorectal cancer population screening programs worldwide in 2016: an update. World J Gastroenterol, 2017, 23(20): 3632-3642.
3. Day LW, Velayos F. Colorectal cancer screening and surveillance in the elderly: updates and controversies. Gut Liver, 2015, 9(2): 143-151.
4. Freedman AN, Slattery ML, Ballard-Barbash R, et al. Colorectal cancer risk prediction tool for white men and women without known susceptibility. J Clin Oncol, 2009, 27(5): 686-693.
5. 丁兰君, 赵丽中, 王媛, 等. 中国结直肠癌健康风险评估模型研究. 中国慢性病预防与控制, 2018, 26(5): 325-328.
6. Iannone A, Losurdo G, Pricci M, et al. Stool Investigations for colorectal cancer screening: from occult blood test to DNA analysis. J Gastrointest Cancer, 2016, 47(2): 143-151.
7. Robertson DJ, Lee JK, Boland CR, et al. Recommendations on fecal immunochemical testing to screen for colorectal neoplasia: a consensus statement by the US multi-society task force on colorectal cancer. Gastroenterology, 2017, 152(5): 1217-1237.e3.
8. Hashimoto Y, Zumwalt TJ, Goel A. DNA methylation patterns as noninvasive biomarkers and targets of epigenetic therapies in colorectal cancer. Epigenomics, 2016, 8(5): 685-703.
9. 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(23): 2564-2575.
10. 蒋曦依, 李璐, 唐慧娟, 等. 结直肠癌高危人群多因素风险预测模型及评价. 浙江大学学报: 医学版, 2018, 47(2): 194-200.
11. Siegel RL, Miller KD, Fedewa SA, et al. Colorectal cancer statistics, 2017. CA Cancer J Clin, 2017, 67(3): 104-117.
12. 张玥, 石菊芳, 黄慧瑶, 等. 中国人群结直肠癌疾病负担分析. 中华流行病学杂志, 2015, 36(7): 709-714.
13. Pil L, Fobelets M, Putman K, et al. Cost-effectiveness and budget impact analysis of a population-based screening program for colorectal cancer. Eur J Intern Med, 2016, 32: 72-78.
14. Wells BJ, Kattan MW, Cooper GS, et al. Colorectal cancer predicted risk online (CRC-PRO) calculator using data from the multi-ethnic cohort study. J Am Board Fam Med, 2014, 27(1): 42-55.
15. Jung YS, Park CH, Kim NH, et al. Identifying the optimal strategy for screening of advanced colorectal neoplasia. J Gastroenterol Hepatol, 2017, 32(5): 1003-1010.
16. Honein-AbouHaidar GN, Kastner M, Vuong V, et al. Systematic review and meta-study synthesis of qualitative studies evaluating facilitators and barriers to participation in colorectal cancer screening. Cancer Epidemiol Biomarkers Prev, 2016, 25(6): 907-917.
17. 张海燕, 谭婧宇, 梁玲, 等. 重庆地区结直肠癌高危人群结直肠镜免费筛查的依从性及影响因素研究. 重庆医科大学学报, 2016, 41(12): 1263-1267.
18. 袁平, 顾晋. 2006~2015 年中国大肠癌筛查人群依从性的 Meta 分析. 中国肿瘤, 2017, 26(4): 241-248.
19. Provenzale D, Gupta S, Ahnen DJ, et al. NCCN Guidelines insights: colorectal cancer screening, version 1.2018. J Natl Compr Canc Netw, 2018, 16(8): 939-949.
20. Win AK, Macinnis RJ, Hopper JL, et al. Risk prediction models for colorectal cancer: a review. Cancer Epidemiol Biomarkers Prev, 2012, 21(3): 398-410.
21. 陆绍龙, 徐艳松, 李辉, 等. 2014-2016 年广西南宁市西乡塘区结直肠癌筛查成本效益分析. 结直肠肛门外科, 2017, 23(6): 698-701.
22. Colditz GA, Atwood KA, Emmons K, et al. Harvard report on cancer prevention volume 4: Harvard Cancer Risk Index. Risk Index Working Group, Harvard Center for Cancer Prevention. Cancer Causes Control, 2000, 11(6): 477-488.
23. Yeoh KG, Ho KY, Chiu HM, et al. The Asia-Pacific Colorectal Screening score: a validated tool that stratifies risk for colorectal advanced neoplasia in asymptomatic Asian subjects. Gut, 2011, 60(9): 1236-1241.
24. Chen S, Wang W, Lee S, et al. Prediction of germline mutations and cancer risk in the Lynch syndrome. JAMA, 2006, 296(12): 1479-1487.
25. Imperiale TF, Wagner DR, Lin CY, et al. Using risk for advanced proximal colonic neoplasia to tailor endoscopic screening for colorectal cancer. Ann Intern Med, 2003, 139(12): 959-965.
26. Emmons KM, Wong M, Puleo E, et al. Tailored computer-based cancer risk communication: correcting colorectal cancer risk perception. J Health Commun, 2004, 9(2): 127-141.
27. Park Y, Freedman AN, Gail MH, et al. Validation of a colorectal cancer risk prediction model among white patients age 50 years and older. J Clin Oncol, 2009, 27(5): 694-698.
28. Freedman AN, Seminara D, Gail MH, et al. Cancer risk prediction models: a workshop on development, evaluation, and application. J Natl Cancer Inst, 2005, 97(10): 715-723.
29. Kolonel LN, Henderson BE, Hankin JH, et al. A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics. Am J Epidemiol, 2000, 151(4): 346-357.
30. Royston P, Altman DG, Sauerbrei W. Dichotomizing continuous predictors in multiple regression: a bad idea. Stat Med, 2006, 25(1): 127-141.
31. Kattan MW, Zelefsky MJ, Kupelian PA, et al. Pretreatment nomogram for predicting the outcome of three-dimensional conformal radiotherapy in prostate cancer. J Clin Oncol, 2000, 18(19): 3352-3359.
32. Ness RM, Holmes AM, Klein R, et al. Cost-utility of one-time colonoscopic screening for colorectal cancer at various ages. Am J Gastroenterol, 2000, 95(7): 1800-1811.
33. 汪晓东, 曹霖, 陈珊珊, 等. ACPGBI 结直肠癌评分系统在临床中的应用现状. 中国医师杂志, 2008, 10(9): 1293-1295.
34. Wong MC, Lam TY, Tsoi KK, et al. A validated tool to predict colorectal neoplasia and inform screening choice for asymptomatic subjects. Gut, 2014, 63(7): 1130-1136.
35. Chen G, Mao B, Pan Q, et al. Prediction rule for estimating advanced colorectal neoplasm risk in average-risk populations in southern Jiangsu Province. Chin J Cancer Res, 2014, 26(1): 4-11.

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CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

The clinical application of colorectal cancer predicted risk online calculator

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