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KLK3 SNP–SNP interactions for prediction of prostate cancer aggressiveness

Title: KLK3 SNP–SNP interactions for prediction of prostate cancer aggressiveness
Authors: Lin, H-Y; Huang, P-Y; Cheng, C-H; Tung, H-Y; Fang, Z; Berglund, AE; Chen, A; French-Kwawu, J; Harris, D; Pow-Sang, J; Yamoah, K; Cleveland, JL; Awasthi, S; Rounbehler, RJ; Gerke, T; Dhillon, J; Eeles, R; Kote-Jarai, Z; Muir, K; Schleutker, J; Pashayan, N; Neal, DE; Nielsen, SF; Nordestgaard, BG; Gronberg, H; Travis, RC
Publisher Information: Nature Research
Publication Year: 2026
Collection: Oxford University Research Archive (ORA)
Description: Risk classification for prostate cancer (PCa) aggressiveness and underlying mechanisms remain inadequate. Interactions between single nucleotide polymorphisms (SNPs) may provide a solution to fill these gaps. To identify SNP-SNP interactions in the four pathways (the angiogenesis-, mitochondria-, miRNA-, and androgen metabolism-related pathways) associated with PCa aggressiveness, we tested 8587 SNPs for 20,729 cases from the PCa consortium. We identified 3 KLK3 SNPs, and 1083 (P < 3.5 × 10-9) and 3145 (P < 1 × 10-5) SNP-SNP interaction pairs significantly associated with PCa aggressiveness. These SNP pairs associated with PCa aggressiveness were more significant than each of their constituent SNP individual effects. The majority (98.6%) of the 3145 pairs involved KLK3. The 3 most common gene-gene interactions were KLK3-COL4A1:COL4A2, KLK3-CDH13, and KLK3-TGFBR3. Predictions from the SNP interaction-based polygenic risk score based on 24 SNP pairs are promising. The prevalence of PCa aggressiveness was 49.8%, 21.9%, and 7.0% for the PCa cases from our cohort with the top 1%, middle 50%, and bottom 1% risk profiles. Potential biological functions of the identified KLK3 SNP-SNP interactions were supported by gene expression and protein-protein interaction results. Our findings suggest KLK3 SNP interactions may play an important role in PCa aggressiveness.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1038/s41598-021-85169-7
Availability: https://doi.org/10.1038/s41598-021-85169-7; https://ora.ox.ac.uk/objects/uuid:6071ca1c-b274-47d7-8d99-2ab75ae247a1
Rights: info:eu-repo/semantics/openAccess ; CC Attribution (CC BY)
Accession Number: edsbas.4BE28375
Database: BASE