BACKGROUND: Genome-wide association studies have identified thousands of disease-associated single nucleotide polymorphisms (SNPs). A subset of these SNPs may be additively combined to generate genetic risk scores (GRSs) that confer risk for a specific disease. Although the clinical validity of GRSs to predict risk of specific diseases has been well established, there is still a great need to determine their clinical utility by applying GRSs in primary care for cancer risk assessment and targeted intervention. METHODS: This clinical study involved 281 primary care patients without a personal history of breast, prostate or colorectal cancer who were 40-70 years old. DNA was obtained from a pre-existing biobank at NorthShore University HealthSystem. GRSs for colorectal cancer and breast or prostate cancer were calculated and shared with participants through their primary care provider. Additional data was gathered using questionnaires as well as electronic medical record information. A t-test or Chi-square test was applied for comparison of demographic and key clinical variables among different groups. RESULTS: The median age of the 281 participants was 58 years and the majority were female (66.6%). One hundred one (36.9%) participants received 2 low risk scores, 99 (35.2%) received 1 low risk and 1 average risk score, 37 (13.2%) received 1 low risk and 1 high risk score, 23 (8.2%) received 2 average risk scores, 21 (7.5%) received 1 average risk and 1 high risk score, and no one received 2 high risk scores. Before receiving GRSs, younger patients and women reported significantly more worry about risk of developing cancer. After receiving GRSs, those who received at least one high GRS reported significantly more worry about developing cancer. There were no significant differences found between gender, age, or GRS with regards to participants' reported optimism about their future health neither before nor after receiving GRS results. CONCLUSIONS: Genetic risk scores that quantify an individual's risk of developing breast, prostate and colorectal cancers as compared with a race-defined population average risk have potential clinical utility as a tool for risk stratification and to guide cancer screening in a primary care setting.
BACKGROUND: Genome-wide association studies have identified thousands of disease-associated single nucleotide polymorphisms (SNPs). A subset of these SNPs may be additively combined to generate genetic risk scores (GRSs) that confer risk for a specific disease. Although the clinical validity of GRSs to predict risk of specific diseases has been well established, there is still a great need to determine their clinical utility by applying GRSs in primary care for cancer risk assessment and targeted intervention. METHODS: This clinical study involved 281 primary care patients without a personal history of breast, prostate or colorectal cancer who were 40-70 years old. DNA was obtained from a pre-existing biobank at NorthShore University HealthSystem. GRSs for colorectal cancer and breast or prostate cancer were calculated and shared with participants through their primary care provider. Additional data was gathered using questionnaires as well as electronic medical record information. A t-test or Chi-square test was applied for comparison of demographic and key clinical variables among different groups. RESULTS: The median age of the 281 participants was 58 years and the majority were female (66.6%). One hundred one (36.9%) participants received 2 low risk scores, 99 (35.2%) received 1 low risk and 1 average risk score, 37 (13.2%) received 1 low risk and 1 high risk score, 23 (8.2%) received 2 average risk scores, 21 (7.5%) received 1 average risk and 1 high risk score, and no one received 2 high risk scores. Before receiving GRSs, younger patients and women reported significantly more worry about risk of developing cancer. After receiving GRSs, those who received at least one high GRS reported significantly more worry about developing cancer. There were no significant differences found between gender, age, or GRS with regards to participants' reported optimism about their future health neither before nor after receiving GRS results. CONCLUSIONS: Genetic risk scores that quantify an individual's risk of developing breast, prostate and colorectal cancers as compared with a race-defined population average risk have potential clinical utility as a tool for risk stratification and to guide cancer screening in a primary care setting.
Entities:
Keywords:
Breast cancer; Cancer screening; Colorectal cancer; Genetic risk score; Prostate cancer; Single nucleotide polymorphism; Translational genomics
Authors: Dawn Provenzale; Samir Gupta; Dennis J Ahnen; Arnold J Markowitz; Daniel C Chung; Robert J Mayer; Scott E Regenbogen; Amie M Blanco; Travis Bray; Gregory Cooper; Dayna S Early; James M Ford; Francis M Giardiello; William Grady; Michael J Hall; Amy L Halverson; Stanley R Hamilton; Heather Hampel; Jason B Klapman; David W Larson; Audrey J Lazenby; Xavier Llor; Patrick M Lynch; June Mikkelson; Reid M Ness; Thomas P Slavin; Shajanpeter Sugandha; Jennifer M Weiss; Mary A Dwyer; Ndiya Ogba Journal: J Natl Compr Canc Netw Date: 2018-08 Impact factor: 11.908
Authors: Veda N Giri; Karen E Knudsen; William K Kelly; Wassim Abida; Gerald L Andriole; Chris H Bangma; Justin E Bekelman; Mitchell C Benson; Amie Blanco; Arthur Burnett; William J Catalona; Kathleen A Cooney; Matthew Cooperberg; David E Crawford; Robert B Den; Adam P Dicker; Scott Eggener; Neil Fleshner; Matthew L Freedman; Freddie C Hamdy; Jean Hoffman-Censits; Mark D Hurwitz; Colette Hyatt; William B Isaacs; Christopher J Kane; Philip Kantoff; R Jeffrey Karnes; Lawrence I Karsh; Eric A Klein; Daniel W Lin; Kevin R Loughlin; Grace Lu-Yao; S Bruce Malkowicz; Mark J Mann; James R Mark; Peter A McCue; Martin M Miner; Todd Morgan; Judd W Moul; Ronald E Myers; Sarah M Nielsen; Elias Obeid; Christian P Pavlovich; Stephen C Peiper; David F Penson; Daniel Petrylak; Curtis A Pettaway; Robert Pilarski; Peter A Pinto; Wendy Poage; Ganesh V Raj; Timothy R Rebbeck; Mark E Robson; Matt T Rosenberg; Howard Sandler; Oliver Sartor; Edward Schaeffer; Gordon F Schwartz; Mark S Shahin; Neal D Shore; Brian Shuch; Howard R Soule; Scott A Tomlins; Edouard J Trabulsi; Robert Uzzo; Donald J Vander Griend; Patrick C Walsh; Carol J Weil; Richard Wender; Leonard G Gomella Journal: J Clin Oncol Date: 2017-12-13 Impact factor: 44.544
Authors: M H Gail; L A Brinton; D P Byar; D K Corle; S B Green; C Schairer; J J Mulvihill Journal: J Natl Cancer Inst Date: 1989-12-20 Impact factor: 13.506
Authors: Paul F Pinsky; Amanda Black; Howard L Parnes; Robert Grubb; E David Crawford; Anthony Miller; Douglas Reding; Gerald Andriole Journal: Cancer Epidemiol Date: 2012-09-19 Impact factor: 2.984
Authors: Victorine H Roos; Carolina Mangas-Sanjuan; Mar Rodriguez-Girondo; Lucia Medina-Prado; Ewout W Steyerberg; Patrick M M Bossuyt; Evelien Dekker; Rodrigo Jover; Monique E van Leerdam Journal: Clin Gastroenterol Hepatol Date: 2019-09-13 Impact factor: 11.382
Authors: Martin C S Wong; C H Chan; Jiayan Lin; Jason L W Huang; Junjie Huang; Yuan Fang; Wilson W L Cheung; C P Yu; John C T Wong; Gary Tse; Justin C Y Wu; Francis K L Chan Journal: Am J Gastroenterol Date: 2018-06-05 Impact factor: 10.864