Literature DB >> 21270638

How well does family history predict who will get colorectal cancer? Implications for cancer screening and counseling.

David P Taylor1, Gregory J Stoddard, Randall W Burt, Marc S Williams, Joyce A Mitchell, Peter J Haug, Lisa A Cannon-Albright.   

Abstract

PURPOSE: Using a large, retrospective cohort from the Utah Population Database, we assess how well family history predicts who will acquire colorectal cancer during a 20-year period.
METHODS: Individuals were selected between ages 35 and 80 with no prior record of colorectal cancer diagnosis, as of the year 1985. Numbers of colorectal cancer-affected relatives and diagnosis ages were collected. Familial relative risk and absolute risk estimates were calculated. Colorectal cancer diagnoses in the cohort were counted between years 1986 and 2005. Cox regression and Harrell's C were used to measure the discriminatory power of resulting models.
RESULTS: A total of 431,153 individuals were included with 5,334 colorectal cancer diagnoses. Familial relative risk ranged from 0.83 to 12.39 and 20-year absolute risk from 0.002 to 0.21. With familial relative risk as the only predictor, Harrell's C = 0.53 and with age only, Harrell's C = 0.66. Familial relative risk combined with age produced a Harrell's C = 0.67.
CONCLUSION: Family history by itself is not a strong predictor of exactly who will acquire colorectal cancer within 20 years. However, stratification of risk using absolute risk probabilities may be more helpful in focusing screening on individuals who are more likely to develop the disease.

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Year:  2011        PMID: 21270638     DOI: 10.1097/GIM.0b013e3182064384

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  12 in total

1.  Comparative Evaluation of Preliminary Screening Methods for Colorectal Cancer in a Mass Program.

Authors:  Ding Ye; Qiuchi Huang; Qilong Li; Xiyi Jiang; Mayila Mamat; Mengling Tang; Jianbing Wang; Kun Chen
Journal:  Dig Dis Sci       Date:  2017-06-20       Impact factor: 3.199

2.  External Validation of Risk Prediction Models Incorporating Common Genetic Variants for Incident Colorectal Cancer Using UK Biobank.

Authors:  Catherine L Saunders; Britt Kilian; Deborah J Thompson; Luke J McGeoch; Simon J Griffin; Antonis C Antoniou; Jon D Emery; Fiona M Walter; Joe Dennis; Xin Yang; Juliet A Usher-Smith
Journal:  Cancer Prev Res (Phila)       Date:  2020-02-18

3.  Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review.

Authors:  Luke McGeoch; Catherine L Saunders; Simon J Griffin; Jon D Emery; Fiona M Walter; Deborah J Thompson; Antonis C Antoniou; Juliet A Usher-Smith
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-07-10       Impact factor: 4.254

4.  A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors.

Authors:  Mark A Jenkins; Polly A Newcomb; Yingye Zheng; Xinwei Hua; Aung K Win; Robert J MacInnis; Steven Gallinger; Loic Le Marchand; Noralane M Lindor; John A Baron; John L Hopper; James G Dowty; Antonis C Antoniou; Jiayin Zheng
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-01-13       Impact factor: 4.254

5.  Epidemiology and Survival of Colorectal Cancer in Lebanon: A Sub-National Retrospective Analysis.

Authors:  Rajaa Chatila; Joseph Mansour; Anas Mugharbil; Ghazi Nsouli; Lana O'Son; Edouard Sayad; Mary E Deeb
Journal:  Cancer Control       Date:  2021 Jan-Dec       Impact factor: 3.302

Review 6.  Risk Prediction Models for Colorectal Cancer: A Systematic Review.

Authors:  Juliet A Usher-Smith; Fiona M Walter; Jon D Emery; Aung K Win; Simon J Griffin
Journal:  Cancer Prev Res (Phila)       Date:  2015-10-13

7.  Assessing Individual Risk for High-Risk Early Colorectal Neoplasm for Pre-Selection of Screening in Shanghai, China: A Population-Based Nested Case-Control Study.

Authors:  Jie Shen; Yiling Wu; Xiaoshuang Feng; Fei Liang; Miao Mo; Binxin Cai; Changming Zhou; Zezhou Wang; Meiying Zhu; Guoxiang Cai; Ying Zheng
Journal:  Cancer Manag Res       Date:  2021-05-12       Impact factor: 3.989

8.  Preliminary validation of a consumer-oriented colorectal cancer risk assessment tool compatible with the US Surgeon General's My Family Health Portrait.

Authors:  W Gregory Feero; Flavia M Facio; Emily A Glogowski; Heather L Hampel; Jill E Stopfer; Haley Eidem; Amy M Pizzino; David K Barton; Leslie G Biesecker
Journal:  Genet Med       Date:  2014-12-18       Impact factor: 8.822

9.  The added value of genetic information in colorectal cancer risk prediction models: development and evaluation in the UK Biobank prospective cohort study.

Authors:  Todd Smith; Marc J Gunter; Ioanna Tzoulaki; David C Muller
Journal:  Br J Cancer       Date:  2018-10-16       Impact factor: 7.640

10.  External validation of risk prediction models for incident colorectal cancer using UK Biobank.

Authors:  J A Usher-Smith; A Harshfield; C L Saunders; S J Sharp; J Emery; F M Walter; K Muir; S J Griffin
Journal:  Br J Cancer       Date:  2018-01-30       Impact factor: 7.640

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