CYP3A5 Polymorphism in Circulating Tumor Cells Confers an Increased Disease-Free Survival in DLBCL Patients Treated with R-CHOP.

IF 2.7 4区 医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY OncoTargets and therapy Pub Date : 2025-03-14 eCollection Date: 2025-01-01 DOI:10.2147/OTT.S486400
Rafael Cerón Maldonado, Adolfo Martínez Tovar, Christian Omar Ramos Peñafiel, Adrián De la Cruz Rosas, Anel Irais García Laguna, Iveth Mendoza Salas, Carlos Martínez Murillo, Gilberto Israel Barranco Lampón, Efreen Horacio Montaño Figueroa, Silvia Jiménez-Morales, Irma Olarte Carrillo
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Abstract

Purpose: Diffuse Large B-Cell Lymphoma (DLBCL) is a heterogeneous aggressive lymphoid neoplasm. Cases of refractoriness and relapse persist in approximately 40% of patients treated with first-line R-CHOP regimen, thus, the identification of factors associated with disease progression have become a necessity. Diverse polymorphisms in genes encoding proteins involved in the metabolism and elimination of chemotherapeutic drugs have been studied as potential causes of treatment failure. In oncology, liquid biopsies have emerged as a non-invasive method for detecting circulating biomarkers, thereby strengthening both diagnosis and prognosis for patients. Therefore, the purpose of this study was to determine polymorphisms in Circulating Tumor Cells (CTCs) to describe the relevance of liquid biopsy in the clinical outcomes of patients with DLBCL.

Patients and methods: We analyzed 102 liquid biopsies of peripheral blood from DLBCL patients, of which CTCs were isolated by density gradient and CD20 immunomagnetic antibodies. Allelic discrimination assays were performed to analyze ABCB1 C3435T, ABCG2 C421A and CYP3A5 A6986G polymorphisms. Overall survival (OS) and disease-free survival (DFS) analysis were performed using Kaplan-Meier curves and risk analysis was performed using Cox regression.

Results: We found that GG genotype of CYP3A5 A6986G was associated with a longer DFS (68.6% vs 49%, p=0.019) and lower risk of course with adverse event related to disease (progression, relapse and death) (OR 0.374, CI 0.187-0.745, p=0.011). No significant associations were found between ABCB1 C3435T and ABCG2 C421A genotype with the clinical outcome.

Conclusion: In this study, we demonstrated that in CTCs derived from liquid biopsies, the GG genotype in the CYP3A5 A6986G, which is related to the metabolism and elimination of chemotherapy drugs, impacts in longer DFS. These findings confirm the relevance of circulating biomarkers in non-invasive biological samples for strengthening the prognosis of DLBCL.

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OncoTargets and therapy
OncoTargets and therapy BIOTECHNOLOGY & APPLIED MICROBIOLOGY-ONCOLOGY
CiteScore
9.70
自引率
0.00%
发文量
221
审稿时长
1 months
期刊介绍: OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer. The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype. Specific topics covered by the journal include: -Novel therapeutic targets and innovative agents -Novel therapeutic regimens for improved benefit and/or decreased side effects -Early stage clinical trials Further considerations when submitting to OncoTargets and Therapy: -Studies containing in vivo animal model data will be considered favorably. -Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines. -Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples. -Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Single nucleotide polymorphism (SNP) studies will not be considered.
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