Division of Human Genetics, Department of Internal Medicine, College of Medicine, The Ohio State University, 2012 Kenny Road, Columbus, OH, 43212, USA.
Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Fam Cancer. 2024 Nov;23(4):499-505. doi: 10.1007/s10689-024-00369-0. Epub 2024 Apr 15.
Genome-wide association studies have identified more than 290 single nucleotide variants (SNVs) associated with prostate cancer. These SNVs can be combined to generate a Polygenic Risk Score (PRS), which estimates an individual's risk to develop prostate cancer. Identifying individuals at higher risk for prostate cancer using PRS could allow for personalized screening recommendations, improve current screening tools, and potentially result in improved survival rates, but more research is needed before incorporating them into clinical use. Our study aimed to investigate associations between PRS and clinical factors in affected individuals, including age of diagnosis, metastases, histology, International Society of Urological Pathology (ISUP) Grade Group (GG) and family history of prostate cancer, while taking into account germline genetic testing in known prostate cancer related genes. To evaluate the relationship between these clinical factors and PRS, a quantitative retrospective chart review of 250 individuals of European ancestry diagnosed with prostate cancer who received genetic counseling services at The Ohio State University's Genitourinary Cancer Genetics Clinic and a 72-SNV PRS through Ambry Genetics, was performed. We found significant associations between higher PRS and younger age of diagnosis (p = 0.002), lower frequency of metastases (p = 0.006), and having a first-degree relative diagnosed with prostate cancer (p = 0.024). We did not observe significant associations between PRS and ISUP GG, histology or a having a second-degree relative with prostate cancer. These findings provide insights into features associated with higher PRS, but larger multi-ancestral studies using PRS that are informative across populations are needed to understand its clinical utility.
全基因组关联研究已经确定了 290 多个与前列腺癌相关的单核苷酸变异(SNV)。这些 SNV 可以组合生成多基因风险评分(PRS),用于估计个体患前列腺癌的风险。使用 PRS 识别前列腺癌风险较高的个体,可以为个性化筛查建议提供依据,改进当前的筛查工具,并可能提高生存率,但在将其纳入临床使用之前,还需要进行更多的研究。我们的研究旨在调查 PRS 与受影响个体的临床因素之间的关联,包括诊断时的年龄、转移、组织学、国际泌尿病理学会(ISUP)分级组(GG)和前列腺癌家族史,同时考虑到已知的前列腺癌相关基因的种系基因检测。为了评估这些临床因素与 PRS 之间的关系,我们对在俄亥俄州立大学泌尿生殖癌症遗传学诊所接受遗传咨询服务并通过安布里遗传学(Ambry Genetics)接受 72-SNV PRS 的 250 名欧洲血统个体进行了定量回顾性图表审查。我们发现,较高的 PRS 与较年轻的诊断年龄(p=0.002)、较低的转移频率(p=0.006)和一级亲属诊断为前列腺癌(p=0.024)之间存在显著关联。我们没有观察到 PRS 与 ISUP GG、组织学或二级亲属患有前列腺癌之间存在显著关联。这些发现为更高 PRS 相关的特征提供了深入了解,但需要进行更大规模的多祖先研究,以了解其在人群中的信息性,从而理解其临床应用。