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Published in: BMC Medicine 1/2021

Open Access 01-12-2021 | Colorectal Cancer | Research article

Polygenic risk score across distinct colorectal cancer screening outcomes: from premalignant polyps to colorectal cancer

Authors: Mireia Obón-Santacana, Anna Díez-Villanueva, Maria Henar Alonso, Gemma Ibáñez-Sanz, Elisabet Guinó, Ana López, Lorena Rodríguez-Alonso, Alfredo Mata, Ana García-Rodríguez, Andrés García Palomo, Antonio J. Molina, Montse Garcia, Gemma Binefa, Vicente Martín, Victor Moreno

Published in: BMC Medicine | Issue 1/2021

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Abstract

Background

Different risk-based colorectal cancer (CRC) screening strategies, such as the use of polygenic risk scores (PRS), have been evaluated to improve effectiveness of these programs. However, few studies have previously assessed its usefulness in a fecal immunochemical test (FIT)-based screening study.

Methods

A PRS of 133 single nucleotide polymorphisms was assessed for 3619 participants: population controls, screening controls, low-risk lesions (LRL), intermediate-risk (IRL), high-risk (HRL), CRC screening program cases, and clinically diagnosed CRC cases. The PRS was compared between the subset of cases (n = 648; IRL+HRL+CRC) and controls (n = 956; controls+LRL) recruited within a FIT-based screening program. Positive predictive values (PPV), negative predictive values (NPV), and the area under the receiver operating characteristic curve (aROC) were estimated using cross-validation.

Results

The overall PRS range was 110–156. PRS values increased along the CRC tumorigenesis pathway (Mann-Kendall P value 0.007). Within the screening subset, the PRS ranged 110-151 and was associated with higher risk-lesions and CRC risk (ORD10vsD1 1.92, 95% CI 1.22–3.03). The cross-validated aROC of the PRS for cases and controls was 0.56 (95% CI 0.53–0.59). Discrimination was equal when restricted to positive FIT (aROC 0.56), but lower among negative FIT (aROC 0.55). The overall PPV among positive FIT was 0.48. PPV were dependent on the number of risk alleles for positive FIT (PPVp10-p90 0.48–0.57).

Conclusions

PRS plays an important role along the CRC tumorigenesis pathway; however, in practice, its utility to stratify the general population or as a second test after a FIT positive result is still doubtful. Currently, PRS is not able to safely stratify the general population since the improvement on PPV values is scarce.
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Literature
1.
go back to reference World Health Organization International Agency for Research on Cancer (IARC). Global Cancer Observatory. Cancer Today. 2020. World Health Organization International Agency for Research on Cancer (IARC). Global Cancer Observatory. Cancer Today. 2020.
3.
go back to reference IARC Working Group on the Evaluation of Cancer-Preventive Interventions. Colorectal Cancer Screening. 2019. IARC Working Group on the Evaluation of Cancer-Preventive Interventions. Colorectal Cancer Screening. 2019.
10.
go back to reference Erben V, Carr PR, Guo F, Weigl K, Hoffmeister M, Brenner H. Individual and joint associations of genetic risk and healthy lifestyle score with colorectal neoplasms among participants of screening colonoscopy. Cancer Prev Res (Phila). 2021;14:649–58. Erben V, Carr PR, Guo F, Weigl K, Hoffmeister M, Brenner H. Individual and joint associations of genetic risk and healthy lifestyle score with colorectal neoplasms among participants of screening colonoscopy. Cancer Prev Res (Phila). 2021;14:649–58.
14.
16.
go back to reference International HapMap 3 Consortium, Altshuler DM, Gibbs RA, Peltonen L, Altshuler DM, Gibbs RA, et al. Integrating common and rare genetic variation in diverse human populations. Nature. 2010;467:52–8.CrossRef International HapMap 3 Consortium, Altshuler DM, Gibbs RA, Peltonen L, Altshuler DM, Gibbs RA, et al. Integrating common and rare genetic variation in diverse human populations. Nature. 2010;467:52–8.CrossRef
17.
go back to reference Mann HB. Nonparametric tests against trend. Econometrica: Journal of the econometric society. JSTOR; 1945;245–59. Mann HB. Nonparametric tests against trend. Econometrica: Journal of the econometric society. JSTOR; 1945;245–59.
18.
go back to reference Kendall MG. Rank correlation methods. Griffin; 1948; Kendall MG. Rank correlation methods. Griffin; 1948;
22.
go back to reference Hsu L, Jeon J, Brenner H, Gruber SB, Schoen RE, Berndt SI, et al. A model to determine colorectal cancer risk using common genetic susceptibility loci. Gastroenterology. 2015;148:1330–1339.e14.CrossRef Hsu L, Jeon J, Brenner H, Gruber SB, Schoen RE, Berndt SI, et al. A model to determine colorectal cancer risk using common genetic susceptibility loci. Gastroenterology. 2015;148:1330–1339.e14.CrossRef
24.
go back to reference Jeon J, Du M, Schoen RE, Hoffmeister M, Newcomb PA, Berndt SI, et al. Determining risk of colorectal cancer and starting age of screening based on lifestyle, environmental, and genetic factors. Gastroenterology. 2018;154:2152–2164.e19.CrossRef Jeon J, Du M, Schoen RE, Hoffmeister M, Newcomb PA, Berndt SI, et al. Determining risk of colorectal cancer and starting age of screening based on lifestyle, environmental, and genetic factors. Gastroenterology. 2018;154:2152–2164.e19.CrossRef
25.
go back to reference Jia G, Lu Y, Wen W, Long J, Liu Y, Tao R, et al. Evaluating the utility of polygenic risk scores in identifying high-risk individuals for eight common cancers. JNCI Cancer Spectr. 2020;4:pkaa021.CrossRef Jia G, Lu Y, Wen W, Long J, Liu Y, Tao R, et al. Evaluating the utility of polygenic risk scores in identifying high-risk individuals for eight common cancers. JNCI Cancer Spectr. 2020;4:pkaa021.CrossRef
27.
go back to reference Usher-Smith JA, Harshfield A, Saunders CL, Sharp SJ, Emery J, Walter FM, et al. External validation of risk prediction models for incident colorectal cancer using UK Biobank. Br J Cancer. 2018;118:750–9. Usher-Smith JA, Harshfield A, Saunders CL, Sharp SJ, Emery J, Walter FM, et al. External validation of risk prediction models for incident colorectal cancer using UK Biobank. Br J Cancer. 2018;118:750–9.
31.
go back to reference Mur P, Bonifaci N, Díez-Villanueva A, Munté E, Alonso MH, Obón-Santacana M, et al. Non-lynch familial and early-onset colorectal cancer explained by accumulation of low-risk genetic variants. Cancers (Basel). 2021;13:3857.CrossRef Mur P, Bonifaci N, Díez-Villanueva A, Munté E, Alonso MH, Obón-Santacana M, et al. Non-lynch familial and early-onset colorectal cancer explained by accumulation of low-risk genetic variants. Cancers (Basel). 2021;13:3857.CrossRef
Metadata
Title
Polygenic risk score across distinct colorectal cancer screening outcomes: from premalignant polyps to colorectal cancer
Authors
Mireia Obón-Santacana
Anna Díez-Villanueva
Maria Henar Alonso
Gemma Ibáñez-Sanz
Elisabet Guinó
Ana López
Lorena Rodríguez-Alonso
Alfredo Mata
Ana García-Rodríguez
Andrés García Palomo
Antonio J. Molina
Montse Garcia
Gemma Binefa
Vicente Martín
Victor Moreno
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Medicine / Issue 1/2021
Electronic ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-021-02134-x

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