Asian Pac J Cancer Prev. 2024 Mar 1;25(3):829-837. doi: 10.31557/APJCP.2024.25.3.829.
ABSTRACT
BACKGROUND: Multiple myeloma (MM), being the second most common hematological malignancy, has garnered significant attention. The ubiquitin proteasomal pathway (UPP), crucial for normal cell function, plays a pivotal role in myeloma pathophysiology, especially with the advent of bortezomib (BTZ). Dysregulation of the UPP has implications ranging from developmental abnormalities to cancer.
OBJECTIVES: This study aimed to delineate the clinical characteristics of newly diagnosed multiple myeloma patients and investigate the influence of single nucleotide polymorphisms (SNPs) in NF-ĸB2 and TRAF3 genes on the risk and treatment response to bortezomib-based chemotherapy.
MATERIALS AND METHODS: Conducted at JIPMER, Pondicherry, this prospective study enrolled 184 participants, comprising cases and controls. DNA extraction from peripheral blood samples was followed by SNP analysis through Real-time Polymerase Chain Reaction. Patients were categorized into Good and Poor responders, and SNP associations with treatment response, response rates, and survival outcomes were assessed using chi-square and Kaplan-Meier analyses.
RESULTS: The median age of participants was 55 years, with backache being the most prevalent symptom (66.3%). Hypercalcemia (22%), renal failure (8.7%), and bone fractures (45.7%) were also observed, alongside high prevalence of anemia. Notably, the frequency of the TRAF3 rs12147254 A allele was lower in cases compared to controls (31% vs. 49%, P-value=0.002). Poor responders exhibited higher frequencies of the GA+AA genotypes in TRAF3 rs12147254 (OR-3.882(1.629-9.251), P-value-0.002) and NFKB2 rs1056890 (OR-3.308(1.366-8.012), P-value-0.008) when compared to good responders. The GA+AA genotype in TRAF3 rs11160707 SNP correlated with improved progression-free survival.
CONCLUSION: The study findings underscore a significant association between genetic polymorphisms and treatment response outcomes, suggesting their utility in prognostic determinations and clinical outcomes prediction in multiple myeloma patients.
PMID:38546066 | DOI:10.31557/APJCP.2024.25.3.829