Role of the TNF-α promoter polymorphisms for development of multiple myeloma and clinical outcome in thalidomide plus dexamethasone

A systematic review on the epidemiology and treatment options of multiple Myeloma in Asia

Multiple myeloma (MM) accounts for almost 15 % of all neoplastic malignancies around the globe. This systematic review intends to analyse data on the treatment and management of MM in selected regions in Asia to identify and prioritize areas that need attention. A comprehensive review of original articles, published in English from 2005 to 2022, derived from the PubMed/MEDLINE database was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. There were 98 studies from select regions of Asia (China, India, Taiwan, Hong Kong, and Singapore) on newly diagnosed MM and relapsed/refractory MM. This review evaluated the trends in disease outcomes with the gradual shift in treatment regimens from doublet to triplet. Additionally, this review also explored autologous stem cell transplant outcome and anti-B-cell maturation antigen (BCMA) chimeric antigen receptor (CAR) T-cell therapy in MM patients. This is the first systematic review attempting to collect data on the utility and comparison of innovative agents and modifications in treatment regimens in the context of the Asian population. This review established that the body of evidence for the management of MM was generally of poor quality and there is a need for more versatile studies in the region. Novel and innovative drug regimens may help in combating the illness but consorted efforts by researchers, industry partners, policymakers, and the government are key factors in the long-term survival of MM patients. In the current systematic review, the authors have tried to give a comprehensive account of the available treatments, trends in MM management and prognosis for MM in Asia.

Natural killer cell biology and therapy in multiple myeloma: challenges and opportunities

Despite therapeutic advancements, multiple myeloma (MM) remains incurable. NK cells have emerged as a promising option for the treatment of MM. NK cells are heterogenous and typically classified based on the relative expression of their surface markers (e.g., CD56 and CD16a). These cells elicit an antitumor response in the presence of low mutational burden and without neoantigen presentation via germline-encoded activating and inhibitory receptors that identify the markers of transformation present on the MM cells. Higher NK cell activity is associated with improved survival and prognosis, whereas lower activity is associated with advanced clinical stage and disease progression in MM. Moreover, not all NK cell phenotypes contribute equally toward the anti-MM effect; higher proportions of certain NK cell phenotypes result in better outcomes. In MM, the proportion, phenotype, and function of NK cells are drastically varied between different disease stages; this is further influenced by the bone marrow microenvironment, proportion of activating and inhibitory receptors on NK cells, expression of homing receptors, and bone marrow hypoxia. Antimyeloma therapies, such as autologous stem cell transplant, immunomodulation, proteasome inhibition, and checkpoint inhibition, further modulate the NK cell landscape in the patients. Thus, NK cells can naturally work in tandem with anti-MM therapies and be strategically modulated for improved anti-MM effect. This review article describes immunotypic and phenotypic differences in NK cells along with the functional changes in homeostatic and malignant states and provides expert insights on strategies to harness the potential of NK cells for improving outcomes in MM.

Association Of -308G/A, -238G/A TNF-α Polymorphisms with Multiple Myeloma Risk and Survival: A Systematic Review and Meta-Analysis

INTRODUCTION

Tumor necrosis factor alpha (TNF-α) is a cytokine with a key role in proinflammation and multiple diseases, including cancer. The gene encoding TNF-α is located within a highly polymorphic region on chromosome 6p21.3; two polymorphisms -308G/A (rs1800629) and -238G/A (rs361525) have been associated with occurrence of human diseases. There is a debate in recent meta-analyses that reached discrepant conclusions regarding the potential role of TNF-α polymorphisms in multiple myeloma (MM) risk. The aim of this systematic review and meta-analysis is to investigate the association between the aforementioned two polymorphisms with the risk and survival of MM.

MATERIALS AND METHODS

Eligible articles were identified through an extensive search in PubMed database (end of search: June 18, 2020). The pooled effect estimates were calculated following the random-effects models by Der Simonian and Laird. Separate analyses were conducted by ethnicity. Between-study heterogeneity was quantified, and the deviation of genotype frequencies in controls from the Hardy-Weinberg equilibrium was evaluated.

RESULTS

Eighteen studies (2934 cases, 4291 controls) have been included in the quantitative synthesis examining risk and 5 studies for survival (557 cases). No association was found between -308G/A and -238G/A TNF-α polymorphisms and MM susceptibility in all genetic models for both Caucasian and East Asian populations. There was no association between -308G/A and -238G/A TNF-α polymorphisms and survival (overall or progression-free) of MM.

CONCLUSION

This systematic review and meta-analysis did not reveal a significant effect of -308G/A and -238G/A TNF-α polymorphisms upon risk or survival of MM.

Association between tumor necrosis factor alpha gene polymorphisms and multiple myeloma risk: an updated meta-analysis

OBJECTIVE

This study aimed to investigate the relationship between tumor necrosis factor alpha (TNFα) polymorphisms and multiple myeloma (MM) risk.

METHODS

Eligible studies were retrieved from PubMed, the Cochrane Library, Embase, CNKI and the Wanfang database. Polymorphisms of TNFα-308 G/A, TNFα-857 C/T, and TNFα-238 G/A were analyzed based on the allele, recessive, dominant, and additive-dominant models. The meta-analysis was conducted using R 3.12 software. Odds ratio (OR) and 95% confidence intervals (CI) were used as evaluation indicators. Heterogeneity among studies was detected. Publication bias was evaluated. Sensitivity and power analyses were also conducted.

RESULTS

Significant associations existed between 'TT vs. CC' (OR = 2.3752, 95% CI = 1.1342-4.9740) and 'TT vs. CC + TC' (OR = 2.0802, 95% CI = 1.0250-4.2218) models of the TNFα-857 C/T gene and MM risk. There were no significant differences in other genetic models of TNFα-857 C/T or any genetic models of TNFα-308 G/A and TNFα-238 G/A. No significant publication bias existed among the studies. In addition, sensitivity analyses showed that meta-analysis results of all genetic models of the TNFα-238 G/A gene did not change after omitting one of these studies, but most models of TNFα-857 C/T and TNFα-308 G/A exhibited significant changes.

CONCLUSION

Our findings indicate that the 'TT vs. CC' and 'TT vs. CC + TC' of TNFα-857 C/T are correlated with MM risk. TNFα-857 C/T may be a risk factor for MM development. There is no association between TNFα-238/-308 polymorphisms and MM risk.

Genetic polymorphisms and multiple myeloma risk: a meta-analysis

Previous researches exploring associations between multiple myeloma (MM) and genetic polymorphisms showed controversial results. In this investigation, we aimed to make a meta-analysis to assess the association between MM risk and genetic polymorphisms. We searched for articles on genetic polymorphism and MM risk in Web of Science and PubMed databases from 1951 to August 2019. We computed the odds ratio (OR) and 95% confidence intervals (CI) extracted from included articles. The meta-analysis showed no significant associations between MM risks and tumor necrosis factor (TNF)-α (rs1800629/rs361525/rs1799724), interleukin (IL)-6 (rs1800795), multidrug resistance 1 (MDR1) (rs1045642), Methylenetetrahydrofolate reductase (MTHFR) (rs1801131/rs1801133) polymorphisms. In summary, the study shows that the TNF-α (rs1800629/rs361525/rs1799724), IL-6 (rs1800795), MDR1 (rs1045642), and MTHFR (rs1801131/rs1801133) polymorphisms may not be associated with MM susceptibility. Thus, we do not need more expensive and useless studies to explore the associations between MM risks and these genetic polymorphisms.

Association of hepatocellular carcinoma risk with polymorphisms in tumour necrosis factor alpha gene in a Chinese Han population

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Studies have shown that the tumour necrosis factor alpha (TNF-α) plays an important role in the development of HCC; however, the association between genetic variations of TNF-α and HCC is not yet fully understood. To evaluate the correlation of TNF-α polymorphisms with HCC, we randomly selected 327 HCC patients and 432 healthy controls, all these subjects reported Han nationality. Genotyping of four TNF-α SNPs (rs1799724, rs1800629, rs1799964 and rs1800610) was performed using the matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF-MS) method. Distributions of rs1799964 genotypes and rs1800610 alleles were found to be significantly different between cases and controls (p = .011, p = .001). The recessive model of rs1799964 significantly increased HCC risk (p = .0015), while the dominant and over-dominant models of rs1800610 significantly reduced HCC risk (p = .0096, p = .014). Haplotype analysis of the four TNF-α SNPs revealed that the TGTA haplotype was associated with a reduced HCC risk (p = .0033, OR = 0.53), while the TGTG haplotype was associated with an increased HCC risk (p = .0032, OR = 9.69). These findings indicated that specific TNF-α polymorphisms may be associated with the susceptibility to HCC.

The Association of GSTT1, GSTM1, and TNF-α Polymorphisms With the Risk and Outcome in Multiple Myeloma

Oxidative stress and systemic inflammation are closely linked with increased risk of cancer development. Tumor necrosis factor alpha (TNF-α) is one of the pro-inflammatory cytokines. Glutathione S-transferases (GSTs) are enzymes involved in oxidative stress handling. Polymorphisms of genes encoding mentioned molecules may potentially influence the risk and the outcome in neoplastic diseases. Multiple myeloma (MM) is a hematological malignancy characterized by clonal, atypical plasma cell proliferation. In the present study we investigated the association of deletion polymorphisms in GSTT1/GSTM1 genes and single nucleotide polymorphisms (SNPs) in the TNF-α gene at positions −308/−238 with the risk and outcome in MM and sensitivity to bortezomib under in vitro conditions. One hundred newly diagnosed MM patients and 100 healthy blood donors were genotyped by means of multiplex PCR (for GSTs) and PCR-RFLP (for TNF-α). In a subgroup of 50 MM patients, bone marrow cells were treated with bortezomib in vitro. Patients with −238GA+AA or GSTT1-null genotypes had 2.0 (p = 0.002) or 2.29 (p = 0.013) fold increased risk of MM. The interaction effects and risk of MM were observed in GSTT1/GSTM1-null (OR = 2.82, p = 0.018), −308/−238GA+AA (OR = 5.63, p < 0.001), as well as in all combinations of −308 with GSTs. The −308/−238GA+AA genotypes in comparison to GG were associated with earlier MM onset−61.14 vs. 66.86 years (p = 0.009) and 61.72 vs. 66.52 years (p = 0.035), respectively. Patients with GSTM1-present had shorter progression-free-survival (15.17 vs. 26.81 months, p = 0.003) and overall-survival (22.79 vs. 34.81 months, p = 0.039) compared with GSTM1-null. We did not observe relationship between response rate and studied polymorphisms. The in vitro study revealed significantly higher number of apoptotic cells at 12 nM of bortezomib in GSTT1-present, GSTM1-null/present, −308GG and −238GG/GA+AA genotypes. Our findings comprise large analysis of studied polymorphisms in MM.

NR3C1, ABCB1, TNF and CYP2C19 polymorphisms association with the response to the treatment of erythema nodosum leprosum

Aim: To evaluate the effects of gene polymorphisms in the treatment of erythema nodosum leprosum with prednisone/thalidomide. Patients & methods: A total of 152 patients from different regions of Brazil were included. Generalized estimating equation was used to evaluate the influence of polymorphisms and haplotypes on the drug dose variation throughout the treatment. Results: An association between the genotype tuberculoid of polymorphism ABCB1 3435C>T (rs1045642; p = 0.02) and prednisone dose was found in the recessive model. An association between the haplotypes 1031T/-863C/-857C/-308A/-238G (p = 0.006) and 1031T/-863C/-857T/-308A/-238G (p = 0.040) of the TNF gene and the CYP2C19*2 polymorphism were also identified, in relation to thalidomide dosage variation over the course of treatment. Conclusion: This work presents the first pharmacogenetic report of association between gene polymorphisms and erythema nodosum leprosum treatment with prednisone/thalidomide.

Tumor Necrosis Factor Alpha-308G/A Polymorphism and the Risk of Multiple Myeloma: A Meta-Analysis of Pooled Data from Twelve Case-Control Studies

Objective:

Tumor necrosis factor alpha (TNF-α) is an important cytokine involved in inflammation, immune response, and other biological processes. The association between polymorphism -308G/A in its promoter and the risk of multiple myeloma (MM) is not clear. Thus, we conducted a meta-analysis to clarify this question.

Materials and Methods:

Twelve eligible studies, which included 2204 MM cases and 3478 controls, were enrolled in our meta-analysis by searching the PubMed, China National Knowledge Infrastructure, Scopus, Web of Science, and Google Scholar databases up to December 2018. The effect of polymorphism -308G/A on MM risk was evaluated by calculating the pooled odds ratio (OR) and the 95% confidence interval (CI). Furthermore, the Q-test and I2 statistical analyses were used to estimate the degree of heterogeneity. Sensitivity analysis was conducted to test the robustness of the meta-analysis results. Publication bias was assessed by Egger’s test and visual inspection of a funnel plot.

Results:

In the dominant model, -308G/A polymorphism was associated with reduced MM risk (OR=0.80, 95% CI: 0.65-0.97), and it also demonstrated a significant protective effect with a pooled OR of 0.82 (95% CI: 0.68-0.99) in the Caucasian subgroup. Because of the limited number of individual studies with AA genotype carriers, only eight studies were included in the recessive model, and no significant difference was observed. Moreover, the meta-analysis of the allele frequency demonstrated that the A allele has a protective effect against MM risk with a pooled OR of 0.83 (95% CI: 0.69-0.99). Sensitivity analysis suggested that the synthesized effect size was not influenced by any individual study. Moreover, the Egger’s test statistical analysis suggested that publication bias was not obvious in the present analysis.

Conclusion:

Overall, the -308G/A polymorphism was associated with reduced MM risk in the dominant model and allele frequency. Further investigation is needed to gain better insight.

Multiple Myeloma: Personalised Medicine Based on Pathogenesis

Multiple myeloma is increasingly being recognised as more than one disease, characterised by marked cytogenetic, molecular, and proliferative heterogeneity. The prognosis is widely varied, ranging from low to very high-risk, based on cytogenetic and molecular studies. Although novel agents, such as proteasome inhibitors and immunomodulators, have been developed, which have improved treatment responses and disease prognosis, multiple myeloma remains an incurable disease. Based on highly sensitive detection tools, such as gene expression profiling and next generation sequence analysis, and the understanding of the pathogenesis of multiple myeloma, many potential agents, including monoclonal antibodies, drug-conjugated antibodies, drugs targeted to molecular abnormalities, microRNA inhibitors or mimics, and immune therapies, such as chimeric antigen receptors T cells and anti-PD1 agents, can be considered personalised therapies. In this paper, multiple myeloma pathogenesis and potential molecular and immunotherapies are reviewed.

Molecular Classification and Pharmacogenetics of Primary Plasma Cell Leukemia: An Initial Approach toward Precision Medicine

Primary plasma cell leukemia (pPCL) is a rare and aggressive variant of multiple myeloma (MM) which may represent a valid model for high-risk MM. This disease is associated with a very poor prognosis, and unfortunately, it has not significantly improved during the last three decades. New high-throughput technologies have allowed a better understanding of the molecular basis of this disease and moved toward risk stratification, providing insights for targeted therapy studies. This knowledge, added to the pharmacogenetic profile of new and old agents in the analysis of efficacy and safety, could contribute to help clinical decisions move toward a precision medicine and a better clinical outcome for these patients. In this review, we describe the available literature concerning the genomic characterization and pharmacogenetics of plasma cell leukemia (PCL).

Interaction between IL-6 and TNF-α genotypes associated with bacteremia in multiple myeloma patients submitted to autologous stem cell transplantation (ASCT)

Stem cell transplantation affects patient׳s vulnerability to infections due to immunological changes related to chemotherapy. Multiple myeloma is characterized by susceptibility to infections, and IL-6 and TNF-α increased levels affect immune response (IR). Polymorphisms in promoter region of cytokine genes may alter expression levels and affect IR. We performed interaction analysis of IL-6 (−174G/C) and TNF-α (−308G/A) polymorphisms with infection susceptibility in 148 patients classified accordingly to infection status and found an interaction when compared groups with and without bacteremia (p=0.0380). The interaction may be more important than single effects for the IR associated with the infection susceptibility in ASCT.

Role of cytokine gene polymorphisms on prognosis in hepatocellular carcinoma after radical surgery resection

This study aimed to determine whether SNPs of cytokine genes influence survival of hepatocellular carcinoma (HCC) patients after radical surgery resection. We evaluated 14 SNPs of eight cytokine genes in 263 patients treated with radical surgery resection of HCC. Categorical variables were compared by the χ(2) test and Fisher's exact test. The Kaplan-Meier methods with log-rank test and Cox regression models were used to compare survival of resected HCC patients according to the genotype. Among the 14 studied SNPs of cytokine genes, only the TNF-α-863 (CA+CC) genotypes were revealed to be significant independent predictors of prolonged overall survival (OS) after HCC radical surgery resection (HR: 0.586, 95% CI: 0.355-0.968), considering for other clinical factors in a Cox proportional hazard model. Meanwhile, no significant association was found between the 14 SNPs and relapse-free survival (RFS) of resected HCC patients. In addition, combination analysis with the Th1 cytokine (IFN-γ, IL-2, IL-12B, TGF-β1) or Th2 cytokine (IL-6, IL-10) genetic polymorphisms by the Kaplan-Meier method and Cox multivariate analysis did not reveal any significant association between OS and RFS of resected HCC patients.

Independent and additive interaction between tumor necrosis factor β +252 polymorphisms and chronic hepatitis B and C virus infection on risk and prognosis of hepatocellular carcinoma: a case-control study

To assess the contribution of tumor necrosis factor (TNF)β +252 polymorphisms to risk and prognosis of hepatocellular carcinoma (HCC), we enrolled 150 pairs of sex- and age-matched patients with HCC, patients with cirrhosis alone, and unrelated healthy controls. TNFβ +252 genotypes were determined by polymerase chain reaction with restriction fragment length polymorphism. Multivariate analysis indicated that TNFβ G/G genotype [odds ratio (OR), 3.64; 95%CI, 1.49-8.91], hepatitis B surface antigen (OR, 16.38; 95%CI, 8.30-32.33), and antibodies to hepatitis C virus (HCV) (OR, 39.11; 95%CI, 14.83-103.14) were independent risk factors for HCC. There was an additive interaction between TNFβ G/G genotype and chronic hepatitis B virus (HBV)/HCV infection (synergy index=1.15). Multivariate analysis indicated that factors associated with TNFβ G/G genotype included cirrhosis with Child-Pugh C (OR, 4.06; 95%CI, 1.34-12.29), thrombocytopenia (OR, 6.55; 95%CI, 1.46-29.43), and higher serum α-fetoprotein concentration (OR, 2.53; 95%CI, 1.14-5.62). Patients with TNFβ G/G genotype had poor cumulative survival (p=0.005). Cox proportional hazard model indicated that TNFβ G/G genotype was a biomarker for poor HCC survival (hazard ratio, 1.70; 95%CI, 1.07-2.69). In conclusion, there are independent and additive effects between TNFβ G/G genotype and chronic HBV/HCV infection on risk for HCC. It is a biomarker for poor HCC survival. Carriage of this genotype correlates with disease severity and advanced hepatic fibrosis, which may contribute to a higher risk and poor survival of HCC. Chronic HBV/HCV infected subjects with this genotype should receive more intensive surveillance for early detection of HCC.

Lack of association between TNF-α promoter polymorphisms and multiple myeloma: a meta-analysis

Results of available literatures, which concerned the association between TNF-α promoter -238/-308 gene polymorphisms and multiple myeloma (MM), are of great controversy. A review was performed in studies reporting on the association between them. Odds ratios (ORs) with 95% confidence interval (CI) were used to evaluate the association. The pooled ORs indicated that there was no association between TNF-α -238/-308 polymorphisms and MM susceptibility in overall population. Sub-group analysis also confirmed that no evidence supported the relevance of TNF-α promoter -238/-308 gene polymorphisms with MM. Studies with large sample size and multi-ethnics may be needed to further explore the association between them.

Genetic variations in multiple myeloma I: effect on risk of multiple myeloma

Few risk factors have been established for the plasma cell disorder multiple myeloma, but some of these like African American ethnicity and a family history of B-cell lymphoproliferative diseases suggest a genetic component for the disease. Genetic variation represents the genetic basis of variability in a population. The complex interplay between environment and genes for the development of cancer may therefore be influenced by genetic variations. A genetic variation may change the function of the gene, and if the genetic variation is associated with the risk of disease, that particular gene may be involved in the pathogenesis of disease. Genes of interest are genes involved in the normal development and function of the plasma cell and genes that protect us against exposures from the environment, for example, genes involved in the metabolism of xenobiotics, metabolism of folate and methionine, as well as genes involved in inflammation and DNA repair. Identification of genes with potential influence on cancer risk may help us to establish relevant laboratory studies on exposure and dose-response assessment and may help us to test the hypothesis in epidemiological studies. Knowledge of individual at high risk of cancer may offer promising insight for the prevention of cancer.

The immune microenvironment of myeloma

The bone marrow (BM) is the site of disease in myeloma and possesses unique immune characteristics involved in the pathobiology of the disease. Interactions of plasma cells with stromal cells, osteoclasts, osteoblasts, myeloid and lymphoid cells make up the unique bone marrow milieu that mediates myeloma disease progression. Independently or through a complex network of interactions these cells impart immune changes leading to immune evasion and disease progression. The critical role of these factors in disease progression has led to the intense development of therapeutic strategies aimed at either disrupting the immune mechanisms mediating disease progression or augmenting those with anti-tumor benefits. This review discusses the major contributors of immunity in the bone marrow microenvironment, their interactions, and mechanisms whereby immune modulation can be translated into therapies with anti-myeloma efficacy.

TNFR1 and TNFR2 regulate the extrinsic apoptotic pathway in myeloma cells by multiple mechanisms

The huge majority of myeloma cell lines express TNFR2 while a substantial subset of them failed to show TNFR1 expression. Stimulation of TNFR1 in the TNFR1-expressing subset of MM cell lines had no or only a very mild effect on cellular viability. Surprisingly, however, TNF stimulation enhanced cell death induction by CD95L and attenuated the apoptotic effect of TRAIL. The contrasting regulation of TRAIL- and CD95L-induced cell death by TNF could be traced back to the concomitant NFκB-mediated upregulation of CD95 and the antiapoptotic FLIP protein. It appeared that CD95 induction, due to its strength, overcompensated a rather moderate upregulation of FLIP so that the net effect of TNF-induced NFκB activation in the context of CD95 signaling is pro-apoptotic. TRAIL-induced cell death, however, was antagonized in response to TNF because in this context only the induction of FLIP is relevant. Stimulation of TNFR2 in myeloma cells leads to TRAF2 depletion. In line with this, we observed cell death induction in TNFR1-TNFR2-costimulated JJN3 cells. Our studies revealed that the TNF-TNF receptor system adjusts the responsiveness of the extrinsic apoptotic pathway in myeloma cells by multiple mechanisms that generate a highly context-dependent net effect on myeloma cell survival.

Impact on response and survival of DNA repair single nucleotide polymorphisms in relapsed or refractory multiple myeloma patients treated with thalidomide

Single nucleotide polymorphisms (SNPs) in 12 genes involving multidrug resistance, drug metabolic pathways, DNA repair systems and cytokines were examined in 28 patients with relapsed/refractory multiple myeloma (MM) treated with single agent thalidomide and the results were correlated with response, toxicity and overall survival (OS). The response rate was higher in patients with SNPs in ERCC1 (rs735482) (p=0.006), ERCC5 (rs17655) (p=0.04) or XRCC5 (rs1051685) (p=0.013). Longer OS was associated with the SNP in ERCC1 (rs735482) (p=0.005) and XRCC5 (rs1051685) (p=0.02). Finally, polymorphism in GSTT1 (rs4630) was associated with a lower frequency of thalidomide-induced peripheral neuropathy (p=0.04).