Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Pleiotropy, which consists of a single gene or allelic variant affecting multiple unrelated traits, is common across cancers, with evidence for genome-wide significant loci shared across cancer and noncancer traits. This feature is particularly relevant in multiple myeloma (MM) because several susceptibility loci that have been identified to date are pleiotropic. Therefore, the aim of this study was to identify novel pleiotropic variants involved in MM risk using 28 684 independent single nucleotide polymorphisms (SNPs) from GWAS Catalog that reached a significant association (P < 5 × 10 ) with their respective trait. The selected SNPs were analyzed in 2434 MM cases and 3446 controls from the International Lymphoma Epidemiology Consortium (InterLymph). The 10 SNPs showing the strongest associations with MM risk in InterLymph were selected for replication in an independent set of 1955 MM cases and 1549 controls from the International Multiple Myeloma rESEarch (IMMEnSE) consortium and 418 MM cases and 147 282 controls from the FinnGen project. The combined analysis of the three studies identified an association between DNAJB4-rs34517439-A and an increased risk of developing MM (OR = 1.22, 95%CI 1.13-1.32, P = 4.81 × 10 ). rs34517439-A is associated with a modified expression of the FUBP1 gene, which encodes a multifunctional DNA and RNA-binding protein that it was observed to influence the regulation of various genes involved in cell cycle regulation, among which various oncogenes and oncosuppressors. In conclusion, with a pleiotropic scan approach we identified DNAJB4-rs34517439 as a potentially novel MM risk locus.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828677PMC
http://dx.doi.org/10.1002/ijc.34278DOI Listing

Publication Analysis

Top Keywords

multiple myeloma
8
pleiotropic variant
4
variant dnajb4
4
dnajb4 associated
4
associated multiple
4
myeloma risk
4
risk pleiotropy
4
pleiotropy consists
4
consists single
4
single gene
4

Similar Publications

Objective: International literature suggests that patients with hematological diseases are frequently referred to palliative care (PC) at a late stage. This study aims to explore the attitudes of a hemato-oncology care team toward referring patients to the PC in a fourth-level hospital in Bogotá, Distrito Capital.

Methods: This exploratory qualitative study was conducted through in-person focus groups between May 2024 and October 2024 at Clínica Universitaria Colombia in Bogotá, Colombia.

View Article and Find Full Text PDF

Modern multiple myeloma treatment enables deep and sustained responses, necessitating assessment of minimal residual disease (MRD) in the bone marrow to refine response categorization. Recently, mass spectrometry (MS)-based methods have emerged as highly sensitive tools for measuring MRD in the peripheral blood. However, the role specific MS techniques play in response categorization has yet to be established.

View Article and Find Full Text PDF

Background: Multiple myeloma (MM) remains a formidable clinical challenge due to its high relapse rate and resistance to existing therapies. Estrogen-related receptor gamma (ERRγ), a nuclear receptor critical for cellular energy metabolism, has been implicated in various cancers. but its role in MM remains unclear.

View Article and Find Full Text PDF

Background And Aim: Cancer is currently recognized as one of the leading causes of mortality worldwide. Given the limited understanding of the association between elevated erythrocyte sedimentation rate (ESR) and solid tumors (STs), this study aimed to examine ESR values at the time of malignancy diagnosis.

Methods: This cross-sectional study utilized data extracted from the medical records of cancer patients at Shahid Baghaei-2 Hospital and Shafa Hospital in Ahvaz, Iran, from February 2020 to October 2021.

View Article and Find Full Text PDF

Purpose: The study was constructed for investigating the serum expression levels of ATIC with multiple myeloma (MM) patients and its potential clinical value as a biomarker, and analyzing its association with disease stage, treatment response, genetic characteristics and prognosis.

Patients And Methods: The serum concentrations of ATIC were assessed in 186 MM patients and 201 healthy controls via ELISA, and the diagnostic efficacy was evaluated through ROC curve analysis. Correlation analysis was conducted based on clinical parameters, including common comorbidities, clinical stages, laboratory indicators, disease status, treatment response level, and pathological characteristics.

View Article and Find Full Text PDF