| 1. |
- Campo, Chiara, et al.
(författare)
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Bortezomib-induced peripheral neuropathy : A genome-wide association study on multiple myeloma patients
- 2018
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Ingår i: Hematological Oncology. - : Wiley. - 0278-0232. ; 36:1, s. 232-237
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Tidskriftsartikel (refereegranskat)abstract
- The proteasome-inhibitor bortezomib was introduced into the treatment of multiple myeloma more than a decade ago. It is clinically beneficial, but peripheral neuropathy (PNP) is a side effect that may limit its use in some patients. To examine the possible genetic predisposing factors to PNP, we performed a genome-wide association study on 646 bortezomib-treated German multiple myeloma patients. Our aim was to identify genetic risk variants associated with the development of PNP as a serious side effect of the treatment. We identified 4 new promising loci for bortezomib-induced PNP at 4q34.3 (rs6552496), 5q14.1 (rs12521798), 16q23.3 (rs8060632), and 18q21.2 (rs17748074). Even though the results did not reach genome-wide significance level, they support the idea of previous studies, suggesting a genetic basis for neurotoxicity. The identified single nucleotide polymorphisms map to genes or next to genes involved in the development and function of the nervous system (CDH13, DCC, and TENM3). As possible functional clues, 2 of the variants, rs12521798 and rs17748074, affect enhancer histone marks in the brain. The rs12521798 may also impact expression of THBS4, which affects specific signal trasduction pathways in the nervous system. Further research is needed to clarify the mechanism of action of the identified single nucleotide polymorphisms in the development of drug-induced PNP and to functionally validate our in silico predictions.
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| 2. |
- Campo, Chiara, et al.
(författare)
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Genetic Susceptibility to Bortezomib-Induced Peripheral Neuroropathy : Replication of the Reported Candidate Susceptibility Loci
- 2017
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Ingår i: Neurochemical Research. - : Springer Science and Business Media LLC. - 0364-3190 .- 1573-6903. ; 42:3, s. 925-931
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Tidskriftsartikel (refereegranskat)abstract
- The introduction of proteasome inhibitors in the treatment of multiple myeloma (MM) patients has been a therapeutic success. Peripheral neuropathy (PNP) remains one of the most frequent side-effects experienced by patients who receive these novel agents. Recent investigations on the mechanisms of PNP in patients treated with bortezomib have suggested genetic susceptibility to neurotoxicity. We used data from a genome-wide association study conducted on 646 bortezomib-treated German MM patients to replicate the previously reported associations between single-nucleotide polymorphisms (SNPs) in candidate genes and PNP in MM patients, including 298 SNPs with a nominal significance (p value <0.05). Twelve associations were confirmed at a significance level p value <0.05. The corresponding SNPs are located in genes involved in drug metabolism (ABCC1, ABCC6), development and function of the nervous system (POGZ, NFAT pathway, EDN1), modulation of immune responses (IL17RD, IL10RA) and the NF-κB signaling pathway (PSMB4, BTCR, F2). We systematically investigated functional consequences of those variants using several bioinformatics tools, such as HaploRegV4.1, RegulomeDB and UCSC Genome Browser. Expression quantitative trait loci (eQTL) data suggested that some of the identified SNPs might influence gene expression through a differential recruitment of transcription factors. In conclusion, we confirmed some of the recently reported associations between germline variation and PNP. Elucidating the mechanisms underlying these associations will contribute to the development of new strategies for the prevention or reduction of PNP.
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| 3. |
- Mahmoudpour, Seyed Hamidreza, et al.
(författare)
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Chemotherapy-induced peripheral neuropathy : Evidence from genome-wide association studies and replication within multiple myeloma patients
- 2018
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Ingår i: BMC Cancer. - : Springer Science and Business Media LLC. - 1471-2407. ; 18:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Based on the possible shared mechanisms of chemotherapy-induced peripheral neuropathy (CIPN) for different drugs, we aimed to aggregate results of all previously published genome-wide association studies (GWAS) on CIPN, and to replicate them within a cohort of multiple myeloma (MM) patients. Methods: Following a systematic literature search, data for CIPN associated single nucleotide polymorphisms (SNPs) with P-values<10-5 were extracted; these associations were investigated within a cohort of 983 German MM patients treated with bortezomib, thalidomide or vincristine. Cases were subjects that developed CIPN grade 2-4 while controls developed no or sub-clinical CIPN. Logistic regression with additive model was used. Results: In total, 9 GWASs were identified from the literature on CIPN caused by different drugs (4 paclitaxel, 2 bortezomib, 1 vincristine, 1 docetaxel, and 1 oxaliplatin). Data were extracted for 526 SNPs in 109 loci. One hundred fourty-eight patients in our study population were CIPN cases (102/646 bortezomib, 17/63 thalidomide and 29/274 vincristine). In total, 13 SNPs in 9 loci were replicated in our population (p-value< 0.05). The four smallest P-values relevant to the nerve function were 0.0006 for rs8014839 (close to the FBXO33 gene), 0.004 for rs4618330 (close to the INTU gene), 0.006 for rs1903216 (close to the BCL6 gene) and 0.03 for rs4687753 (close to the IL17RB gene). Conclusions: Replicated SNPs provide clues of the molecular mechanism of CIPN and can be strong candidates for further research aiming to predict the risk of CIPN in clinical practice, particularly rs8014839, rs4618330, rs1903216, and rs4687753, which showed relevance to the function of nervous system.
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| 4. |
- Sachpekidis, Christos, et al.
(författare)
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Artificial intelligence–based, volumetric assessment of the bone marrow metabolic activity in [ 18 F]FDG PET/CT predicts survival in multiple myeloma
- 2024
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Ingår i: European Journal of Nuclear Medicine and Molecular Imaging. - 1619-7070 .- 1619-7089. ; 51:8, s. 2293-2307
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Multiple myeloma (MM) is a highly heterogeneous disease with wide variations in patient outcome. [18F]FDG PET/CT can provide prognostic information in MM, but it is hampered by issues regarding standardization of scan interpretation. Our group has recently demonstrated the feasibility of automated, volumetric assessment of bone marrow (BM) metabolic activity on PET/CT using a novel artificial intelligence (AI)–based tool. Accordingly, the aim of the current study is to investigate the prognostic role of whole-body calculations of BM metabolism in patients with newly diagnosed MM using this AI tool. Materials and methods: Forty-four, previously untreated MM patients underwent whole-body [18F]FDG PET/CT. Automated PET/CT image segmentation and volumetric quantification of BM metabolism were based on an initial CT-based segmentation of the skeleton, its transfer to the standardized uptake value (SUV) PET images, subsequent application of different SUV thresholds, and refinement of the resulting regions using postprocessing. In the present analysis, ten different uptake thresholds (AI approaches), based on reference organs or absolute SUV values, were applied for definition of pathological tracer uptake and subsequent calculation of the whole-body metabolic tumor volume (MTV) and total lesion glycolysis (TLG). Correlation analysis was performed between the automated PET values and histopathological results of the BM as well as patients’ progression-free survival (PFS) and overall survival (OS). Receiver operating characteristic (ROC) curve analysis was used to investigate the discrimination performance of MTV and TLG for prediction of 2-year PFS. The prognostic performance of the new Italian Myeloma criteria for PET Use (IMPeTUs) was also investigated. Results: Median follow-up [95% CI] of the patient cohort was 110 months [105–123 months]. AI-based BM segmentation and calculation of MTV and TLG were feasible in all patients. A significant, positive, moderate correlation was observed between the automated quantitative whole-body PET/CT parameters, MTV and TLG, and BM plasma cell infiltration for all ten [18F]FDG uptake thresholds. With regard to PFS, univariable analysis for both MTV and TLG predicted patient outcome reasonably well for all AI approaches. Adjusting for cytogenetic abnormalities and BM plasma cell infiltration rate, multivariable analysis also showed prognostic significance for high MTV, which defined pathological [18F]FDG uptake in the BM via the liver. In terms of OS, univariable and multivariable analysis showed that whole-body MTV, again mainly using liver uptake as reference, was significantly associated with shorter survival. In line with these findings, ROC curve analysis showed that MTV and TLG, assessed using liver-based cut-offs, could predict 2-year PFS rates. The application of IMPeTUs showed that the number of focal hypermetabolic BM lesions and extramedullary disease had an adverse effect on PFS. Conclusions: The AI-based, whole-body calculations of BM metabolism via the parameters MTV and TLG not only correlate with the degree of BM plasma cell infiltration, but also predict patient survival in MM. In particular, the parameter MTV, using the liver uptake as reference for BM segmentation, provides solid prognostic information for disease progression. In addition to highlighting the prognostic significance of automated, global volumetric estimation of metabolic tumor burden, these data open up new perspectives towards solving the complex problem of interpreting PET scans in MM with a simple, fast, and robust method that is not affected by operator-dependent interventions.
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