Body mass index and risk of multiple myeloma: A meta-analysis of prospective studies

Wallin, Annika; Larsson, Susanna C.

doi:10.1016/j.ejca.2011.01.020

Cited by 183 publications

(141 citation statements)

References 44 publications

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“…In addition, exposure to a wide range of toxins as well as type 2 diabetes (T2D) and obesity have been suggested as important mediators of the complex process of myelomagenesis (Alexander et al 2007, Lope et al 2008, Wallin & Larsson 2011. Among these latter preventable factors, T2D has attracted significant attention since it has been consistently identified as a medical condition frequently found in MM patients (Khan et al 2008, Richardson et al 2009, Castillo et al 2012 and it is thought to influence the myelomagenesis through hyperglycaemia and insulin-dependent and -independent mechanisms (Xu et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Type 2 diabetes-related variants influence the risk of developing multiple myeloma: results from the IMMEnSE consortium

Lupiañez¹,

Campa²,

Martino³

et al. 2015

Endocrine-Related Cancer

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Type 2 diabetes (T2D) has been suggested to be a risk factor for multiple myeloma (MM), but the relationship between the two traits is still not well understood. The aims of this study were to evaluate whether 58 genome-wide-association-studies (GWAS)-identified common variants for T2D influence the risk of developing MM and to determine whether predictive models built with these variants might help to predict the disease risk. We conducted a case-control study including 1420 MM patients and 1858 controls ascertained through the International Multiple Myeloma (IMMEnSE) consortium. Subjects carrying the KCNQ1 rs2237892T allele or the CDKN2A-2B rs2383208G/G , IGF1 rs35767T/T and MADD rs7944584T/T genotypes had a significantly increased risk of MM (odds ratio (OR)Z1.32-2.13) whereas those carrying the KCNJ11 rs5215C , KCNJ11 rs5219T and THADA rs7578597C alleles or the FTO rs8050136A/A and LTA rs1041981C/C genotypes showed a significantly decreased risk of developing the disease (ORZ0.76-0.85). Interestingly, a prediction model including those T2D-related variants associated with the risk of MM showed a significantly improved discriminatory ability to predict the disease when compared to a model without genetic information (area under the curve (AUC)Z0.645 vs AUCZ0.629; PZ4.05! 10 K06). A gender-stratified analysis also revealed a significant gender effect modification for ADAM30 rs2641348 and NOTCH2 rs10923931 variants (P interaction Z0.001 and 0.0004, respectively). Men carrying the ADAM30 rs2641348C and NOTCH2 rs10923931T alleles had a significantly decreased risk of MM whereas an opposite but not significant effect was observed in women (OR M Z0.71 and OR M Z0.66 vs OR W Z1.22 and OR W Z1.15, respectively). These results suggest that TD2-related variants may influence the risk of developing MM and their genotyping might help to improve MM risk prediction models.

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Section: Introductionmentioning

confidence: 99%

Type 2 diabetes-related variants influence the risk of developing multiple myeloma: results from the IMMEnSE consortium

Lupiañez¹,

Campa²,

Martino³

et al. 2015

Endocrine-Related Cancer

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“…Substantial evidence demonstrates an association between elevated BMI before diagnosis and increased MM incidence and death, but the impact of BMI at the time of diagnosis has not been clearly defined [4,[11][12][13][14][15]. Because MM is generally considered to be an incurable malignancy, it is conceivable that increased incidence alone drives the increased risk of death observed in cohort studies.…”

Section: Introductionmentioning

confidence: 99%

Influence of Body Mass Index on Survival in Veterans With Multiple Myeloma

et al. 2013

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“…Additional factors have been suggested to have an effect on the risk of developing MM. There is epidemiological evidence supporting an increased risk of MM among obese people and for those who have a low intake either of fish or vegetables (32)(33)(34)(35)(36). A number of cohort and case-control studies have also described a positive relationship between MM and patients either with autoimmune diseases (37,38) or viral infections (39)(40)(41).…”

Section: Lifestyle Environmental and Occupational-related Risk Factomentioning

confidence: 99%

Genetics and molecular epidemiology of multiple myeloma: The rationale for the IMMEnSE consortium (Review)

et al. 2011

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Abstract. There is strong evidence suggesting the presence of a genetic component in the aetiology of multiple myeloma (MM). However no genetic risk factors have been unequivocally established so far. To further our understanding of the genetic determinants of MM risk, a promising strategy is to collect a large set of patients in a consortium, as successfully done for other cancers. In this article, we review the main findings in the genetic susceptibility and pharmacogenetics of MM and present the strategy of the IMMEnSE (International Multiple Myeloma rESEarch) consortium in contributing to determine the role of genetic variation in pharmacogenetics and in MM risk.

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Body mass index and risk of multiple myeloma: A meta-analysis of prospective studies

Cited by 183 publications

References 44 publications

Type 2 diabetes-related variants influence the risk of developing multiple myeloma: results from the IMMEnSE consortium

Type 2 diabetes-related variants influence the risk of developing multiple myeloma: results from the IMMEnSE consortium

Influence of Body Mass Index on Survival in Veterans With Multiple Myeloma

Genetics and molecular epidemiology of multiple myeloma: The rationale for the IMMEnSE consortium (Review)

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