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An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
Published on: July 15, 2015
Inherited variation in the xenobiotic transporter pathway and survival of multiple myeloma patients
Angelica Macauda1,2, Eleonora Castelli1, Gabriele Buda3
1Department of Biology, University of Pisa, Pisa, Italy.
Abstract:
Over the past four decades, remarkable progress has been made in the treatment and prognosis of multiple myeloma (MM), although it remains an incurable disease. Chemotherapy resistance is a major hurdle for treatment efficacy. Drug resistance can be innate and so driven by genes involved in the drug metabolism pathways. We performed an association study of 71 germline variants within the major genes in those pathways (ABCB1, ABCC2, ABCG2, and their regulators NR1I2/PXR and NR1I3/CAR) in the International Multiple Myeloma rESEarch (IMMEnSE) consortium, consisting of 1365 MM cases with survival information recruited in 5 European countries. Two of the SNPs showed a significant association with the survival of MM patients, namely rs2235013, located in ABCB1 [Hazard ratio (HR) = 1·52, 95% confidence interval (CI) = 1·18-1·95, P = 0·00087], and rs4148388, located in ABCC2 (HR = 2·15, 95% CI = 1·44-3·22, P = 0·0001). ABCC2 plays an essential role in transporting various anticancer drugs, including several used against MM, out of the cell. In silico analyses predict that the variant alleles of four SNPs in linkage disequilibrium with ABCC2-rs4148388 are associated with increased gene expression. Overexpression of ABCC2 increases drug clearance and therefore may induce drug resistance mechanisms. In conclusion, we found a promising association between ABCC2-rs4148388 and MM outcome that is supported by a plausible biological explanation.
Insights
Genetic variants in drug metabolism genes are linked to multiple myeloma (MM) patient survival. The ABCC2 gene variant rs4148388 shows a significant association with poorer outcomes in MM.
Area of Science:
- Genetics
- Pharmacogenomics
- Oncology
Background:
- Multiple myeloma (MM) treatment has improved, but it remains incurable.
- Chemotherapy resistance is a significant challenge in MM treatment efficacy.
- Innate drug resistance can be influenced by genes involved in drug metabolism pathways.
Purpose of the Study:
- To investigate the association between germline variants in drug metabolism genes and the survival of MM patients.
- To identify specific genetic variants that influence treatment response and prognosis in MM.
Main Methods:
- An association study was conducted using data from the International Multiple Myeloma rESEarch (IMMEnSE) consortium.
- Genotyped 71 germline variants in key drug metabolism genes (ABCB1, ABCC2, ABCG2) and their regulators (NR1I2/PXR, NR1I3/CAR).
- Analyzed survival data from 1365 MM cases recruited across 5 European countries.
Main Results:
- Two single nucleotide polymorphisms (SNPs) showed a significant association with MM patient survival: rs2235013 in ABCB1 and rs4148388 in ABCC2.
- The ABCC2 variant rs4148388 was strongly associated with poorer MM outcomes (HR=2.15, P=0.0001).
- In silico analyses suggested that variants linked to rs4148388 may increase ABCC2 gene expression, potentially leading to increased drug clearance and resistance.
Conclusions:
- A significant association exists between the ABCC2 gene variant rs4148388 and multiple myeloma patient survival.
- This finding is supported by a plausible biological mechanism involving increased ABCC2 expression and drug resistance.
- The study highlights the potential of pharmacogenomic approaches in predicting MM outcomes.
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