Do GWAS-identified risk variants for chronic lymphocytic leukemia influence overall patient survival and disease progression?
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Identificadores
URI: https://hdl.handle.net/10902/30447DOI: 10.3390/ijms24098005
ISSN: 1661-6596
ISSN: 1422-0067
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Cabrera-Serrano, Antonio José; Sánchez-Maldonado, José Manuel; Horst, Rob ter; Macauda, Angelica; García-Martín, Paloma; Benavente, Yolanda; Landi, Stefano; Glay-Gilmour, Alyssa; Niazi, Yasmeen; Espinet, Blanca; Rodríguez-Sevilla, Juan José; Pérez, Eva María; Maffei, Rossana; Blanco, Gonzalo; Giaccherini, Matteo; Cerhan, James R.; Marasca, Roberto; López-Nevot, Miguel Ángel; Dierssen Sotos, Trinidad
Fecha
2023Derechos
Attribution 4.0 International
© 2023 by the authors
Publicado en
International Journal of Molecular Sciences, 2023, 24, 8005
Editorial
MDPI
Palabras clave
Chronic lymphocytic leukemia
Overall survival
TTFT
Genetic variants
Susceptibility
Polygenic risk score
Resumen/Abstract
Chronic lymphocytic leukemia (CLL) is the most common leukemia among adults worldwide. Although genome-wide association studies (GWAS) have uncovered the germline genetic component underlying CLL susceptibility, the potential use of GWAS-identified risk variants to predict disease progression and patient survival remains unexplored. Here, we evaluated whether 41 GWAS-identified risk variants for CLL could influence overall survival (OS) and disease progression, defined as time to first treatment (TTFT) in a cohort of 1039 CLL cases ascertained through the CRuCIAL consortium. Although this is the largest study assessing the effect of GWAS-identified susceptibility variants for CLL on OS, we only found a weak association of ten single nucleotide polymorphisms (SNPs) with OS (p < 0.05) that did not remain significant after correction for multiple testing. In line with these results, polygenic risk scores (PRSs) built with these SNPs in the CRuCIAL cohort showed a modest association with OS and a low capacity to predict patient survival, with an area under the receiver operating characteristic curve (AUROC) of 0.57. Similarly, seven SNPs were associated with TTFT (p < 0.05); however, these did not reach the multiple testing significance threshold, and the meta-analysis with previous published data did not confirm any of the associations. As expected, PRSs built with these SNPs showed reduced accuracy in prediction of disease progression (AUROC = 0.62). These results suggest that susceptibility variants for CLL do not impact overall survival and disease progression in CLL patients.
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