Literature DB >> 30868574

Performance of individual and joint risk stratification by an environmental risk score and a genetic risk score in a colorectal cancer screening setting.

Yesilda Balavarca1, Korbinian Weigl2,3,4, Hauke Thomsen5, Hermann Brenner1,2,3.   

Abstract

Early detection of colorectal neoplasms can reduce the disease burden of colorectal cancer by timely intervention of individuals at high risk. Our aim was to evaluate a joint environmental-genetic risk score as a risk stratification tool for early detection of advanced colorectal neoplasm (ACRN). Known environmental risk factors and high-risk genetic loci were summarized into risk scores for ACRN in 1014 eligible participants of a screening study. The performances of single and joint environmental-genetic scores were evaluated with estimates and 95% confidence intervals (CI) of the absolute risk, relative risk and predictive ability using the area under the curve (AUC). Individuals with higher environmental risk scores showed increasing ACRN risk, with 3.1-fold for intermediate risk and 4.8-fold for very high risk, compared to the very low environmental risk group. Similarly, individuals with higher genetic risk scores showed increasing ACRN risk, with 2.2-fold for intermediate risk and 3.5-fold for very high risk, compared to the lowest genetic risk group. Moreover, the joint environmental-genetic score improved the ACRN risk stratification and showed higher predictive values (AUC = 0.64; 95%CI = 0.60-0.67) with substantial difference (p = 0.0002) compared to the single environmental score (0.58; 0.55-0.62). The integration of environmental and genetic factors looks promising for improving targeting individuals at high-risk of colorectal neoplasm. Applications in practical screening programs require optimization with additional genetic and other biomarkers involved in colorectal carcinogenesis.
© 2019 UICC.

Entities:  

Keywords:  colorectal neoplasm; genetic loci; risk allele; risk score; screening

Mesh:

Year:  2019        PMID: 30868574     DOI: 10.1002/ijc.32272

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  11 in total

1.  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

Review 2.  A scoping review of risk-stratified bowel screening: current evidence, future directions.

Authors:  J M Cairns; S Greenley; O Bamidele; D Weller
Journal:  Cancer Causes Control       Date:  2022-03-20       Impact factor: 2.532

3.  Genetic ancestry differences in pediatric asthma readmission are mediated by socioenvironmental factors.

Authors:  Tesfaye B Mersha; Ke Qin; Andrew F Beck; Lili Ding; Bin Huang; Robert S Kahn
Journal:  J Allergy Clin Immunol       Date:  2021-07-01       Impact factor: 10.793

4.  Smoking, Genetic Predisposition, and Colorectal Cancer Risk.

Authors:  Xuechen Chen; Lina Jansen; Feng Guo; Michael Hoffmeister; Jenny Chang-Claude; Hermann Brenner
Journal:  Clin Transl Gastroenterol       Date:  2021-03-01       Impact factor: 4.396

5.  Adding genetic scores to risk models in colorectal cancer.

Authors:  Carla J Gargallo-Puyuelo; Ángel Lanas; María Asunción García-Gonzalez
Journal:  Oncotarget       Date:  2019-08-06

6.  Association of CD44 gene rs187115 polymorphism with colorectal cancer risk and prognosis in Chinese Han population: a case-control study.

Authors:  Qian Wan; Dan Zhang; Qing Zhou; Ming Li; Yujuan Wang; Yang Song; Tianshu Xu
Journal:  Aging (Albany NY)       Date:  2019-11-03       Impact factor: 5.682

7.  Effects of Screenings in Reducing Colorectal Cancer Incidence and Mortality Differ by Polygenic Risk Scores.

Authors:  Jungyoon Choi; Guochong Jia; Wanqing Wen; Jirong Long; Xiao-Ou Shu; Wei Zheng
Journal:  Clin Transl Gastroenterol       Date:  2021-05-06       Impact factor: 4.396

8.  Polygenic risk prediction models for colorectal cancer: a systematic review.

Authors:  Michele Sassano; Marco Mariani; Gianluigi Quaranta; Roberta Pastorino; Stefania Boccia
Journal:  BMC Cancer       Date:  2022-01-15       Impact factor: 4.430

9.  A risk-prediction score for colorectal lesions on 12,628 participants at high risk of colorectal cancer.

Authors:  Lixin Liang; Yingru Liang; Ke Li; Pengzhe Qin; Guozhen Lin; Yan Li; Huan Xu; Suixiang Wang; Qinlong Jing; Boheng Liang; Lin Xu
Journal:  Gastroenterol Rep (Oxf)       Date:  2022-02-09

10.  Analysis of prognosis, genome, microbiome, and microbial metabolome in different sites of colorectal cancer.

Authors:  Yang Xi; Pan Yuefen; Wu Wei; Qi Quan; Zhuang Jing; Xu Jiamin; Han Shuwen
Journal:  J Transl Med       Date:  2019-10-29       Impact factor: 5.531

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