Association of diabetes mellitus with non-Hodgkin lymphoma risk: a meta-analysis of cohort studies

Global burden, risk factors, and trends of non-Hodgkin lymphoma: A worldwide analysis of cancer registries

BACKGROUND

Non-Hodgkin lymphoma (NHL) accounts for 90% of all malignant lymphomas. This study aimed to evaluate the global incidence, mortality, associated risk factors, and temporal trends of NHL by sex, age, and country.

METHODS

Data from 185 countries globally were used for analysis. NHL incidence and mortality were collected via the GLOBOCAN (2020), CI5 series I-X, WHO mortality database, the Nordic Cancer Registries, and the SEER Program. The WHO Global Health Observatory provided country-level, age-standardized prevalence of lifestyle and metabolic risk factors. Trends were examined and reported based on average annual percentage change (AAPC) calculated using Joinpoint regression analysis. Incidence and AAPC are based on data for the last 10 years across countries.

RESULTS

Globally, age-standardized incidence and mortality rates for NHL were recorded at 5.8 and 2.6 per 100,000 individuals, respectively. At country-level, NHL incidence was significantly associated with various factors, including HDI (Human Development Index), GDP per capita, prevalence of tobacco and alcohol consumption, sedentary lifestyle, obesity, hypertension, diabetes and hypercholesterolaemia. Rising trend in NHL incidence was observed, with the highest increase recorded in Estonia (AAPCmale  = 4.15, AAPCfemale  = 5.14), Belarus (AAPCfemale  = 5.13), and Lithuania (AAPCfemale  = 4.68). While overall NHL mortality has been decreasing, certain populations experienced increased mortality over the decade. In Thailand, AAPC for mortality was 31.28% for males and 30.26% for females. Estonia saw an AAPC of 6.46% for males, while Slovakia experienced an AAPC of 4.24% for females. Colombia's AAPC was 1.29% for males and 1.51% for females.

CONCLUSIONS

This study indicates a rising trend of NHL incidence over the past decade- particularly in developed countries, older males, and younger populations. Further research should investigate deeper insights into specific etiology and prognosis of NHL across subtypes, and potential contributors towards these epidemiologic trends.

Association of Obesity and Type 2 Diabetes with Non-Hodgkin Lymphoma: The Multiethnic Cohort

BACKGROUND

Given the role of the immune system in non-Hodgkin lymphoma (NHL) etiology, obesity and type 2 diabetes (T2D) may impact NHL development. We examined the association of body mass index (BMI) and T2D with NHL in the multiethnic cohort (MEC).

METHODS

The MEC recruited >215,000 participants in Hawaii and Los Angeles from five racial/ethnic groups; NHL cases were identified through cancer registry linkages. T2D status, and BMI at age 21 and cohort entry were derived from repeated self-reports; for T2D, Medicare claims were also applied. HRs and 95% confidence intervals (CI) for BMI and T2D as predictors of NHL were determined using Cox regression adjusted for relevant covariates.

RESULTS

Among 192,424 participants, 3,472 (1.8%) with NHL and 68,850 (36%) with T2D after 19.2 ± 6.6 years follow-up, no significant association between T2D and NHL (HR, 1.04; 95% CI, 0.96-1.13) was observed. Stratification by BMI at cohort entry showed a significant association of T2D with NHL among individuals with normal weight only (HR, 1.18; 95% CI, 1.03-1.37). In a model with both BMI values plus T2D, only overweight (HR, 1.13; 95% CI, 1.01-1.26) and obesity (HR, 1.25; 95% CI, 0.99-1.59) at age 21 were associated with NHL incidence. Stratification by sex, race/ethnicity, and NHL subtype indicated no differences.

CONCLUSIONS

Our findings suggest an association between T2D and NHL incidence in several subgroups but not in the total population and an elevated risk related to early-life BMI.

IMPACT

Excess body weight in early life, rather than T2D, may be a predictor of NHL incidence.

Diabetes, metformin use and risk of non-Hodgkin's lymphoma in postmenopausal women: A prospective cohort analysis in the Women's Health Initiative

Epidemiologic evidence is limited about associations between T2DM, metformin, and the risk of non-Hodgkin's lymphoma (NHL). We aimed to examine associations between T2DM, metformin, and the risk of NHL in the Women's Health Initiative (WHI) Study. Information on T2DM status (diabetes status/types of antidiabetic drug use/diabetes duration) from study enrollment and during follow-up were assessed. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to evaluate associations of T2DM status with risks of overall NHL and its three major subtypes [diffuse large B-cell lymphoma (DLBCL, n = 476), follicular lymphoma (FL, n = 301) and chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL, n = 136)] based on multivariable-adjusted Cox proportional hazards models. During a median follow-up of 18.86 years (range, 0.01-25.13; SD ± 6.55), a total of 1637 women developed NHL among 147 885 postmenopausal women. Women with T2DM and with self-reported oral medication use had 38% and 55% higher risk of DLBCL, respectively [multivariable-adjusted model HR = 1.38, 95% CI (1.06-1.81) and HR = 1.55, 95% CI (1.16-2.06)] compared to the reference group (nondiabetics/untreated diabetes). Risks of NHL and DLBCL [multivariable-adjusted model: HR = 1.28, 95% CI (1.06-1.54) and HR = 1.56, 95% CI (1.13-2.14), respectively] were significantly higher in associations with relatively short duration (≤7 years) of diabetes, compared to reference group. Additionally, an increased risk of DLBCL [HR = 1.76, 95% CI (1.13-2.75)] was found in metformin users compared to the reference group. Postmenopausal women who had T2DM, who were oral antidiabetic drug users, especially metformin, and who had a shorter diabetes duration may have higher risks of DLBCL. Further well-designed research is needed to confirm our findings.

Influence of Hyperglycemia on the Prognosis of Patients with Diffuse Large B-Cell Lymphoma

PURPOSE

To explore the effects of primary and secondary hyperglycemia and the application of the hypoglycemic drug metformin on the prognosis of patients with diffuse large B-cell lymphoma (DLBCL).

METHODS

We performed a retrospective analysis of 1767 DLBCL patients.Cox regression method was used for analysis to evaluate the prognostic factors, and the Kaplan-Meier method was used to draw a survival curve to analyze the effect of hyperglycemia and the hypoglycemic drug metformin on the progression-free survival (PFS) and overall survival (OS) of DLBCL patients.

RESULTS

Our study showed that patients with hyperglycemia tend to have higher age (age>60 years), high body mass index (BMI)(≥24kg/m²), late Ann Arbor stage (III-IV), high international prognostic index (IPI) (3-5 score), high lactic dehydrogenase (LDH) level (>250U/L), bulky disease and comorbidity. Hyperglycemia affects the survival time of the DLBCL population (PFS: adjusted HR 1.41, 95% CI: 1.16-1.70, P <0.001, OS: adjusted HR 1.33, 95% CI:1.09-1.61, P=0.004).Compared with the non-hyperglycemia group, the secondary hyperglycemia increase affects the prognosis of the DLBCL population (P<0.001). Compared with the secondary hyperglycemia group, the primary hyperglycemia group has a poor prognosis (P<0.05). For patients with DLBCL and hyperglycemia (732 patients in total), the use of metformin can improve their PFS and OS (PFS: adjusted HR 0.69, 95% CI: 0.49-0.96, P=0.028, OS: adjusted HR 0.68, 95% CI: 0.49-0.95, P=0.024).

CONCLUSION

Hyperglycemia and secondary hyperglycemia are related to the poor prognosis of DLBCL population.For patients with DLBCL combined with hyperglycemia, the application of metformin can improve survival rate.

Association between diabetes and acute lymphocytic leukemia, acute myeloid leukemia, non-Hopkin lymphoma, and multiple myeloma

Objective

Diabetes increases the risk for cancers. However, whether it is associated with hematologic malignancies is not clear. The present study investigated the association between diabetes and acute lymphocytic leukemia (ALL), acute myeloid leukemia (ML), non-Hopkin lymphoma (NHL), and multiple myeloma (MM).

Methods

Newly diagnosed adult cancer patients were recruited consecutively from our clinical database. Peoples from a local enterprise were recruited to create a small-scale population-based dataset. We compared the diabetes prevalence between the cancer patients and the local people; an increase in diabetes prevalence in the cancer patients suggests an association between diabetes and the cancer(s).

Results

We found that the prevalence of diabetes was 19.7%, 21.3%, 12.5%, and 12.0% in ALL, AML, NHL, and MM, respectively, which was higher than that (9.1%) in the local people. Despite that there were more male than female cancer patients, there were more female than male diabetic patients. The increase in diabetes prevalence occurred in ALL and NHL patients aged 18 to 39 years old as well as in AML patients over 40. In MM patients, the increase in diabetes prevalence (18.6%) occurred only in females. Approximately 70% of the diabetic patients were undiagnosed before the diagnosis of the blood cancer. Approximately half of the pre-existing diabetic patients had anti-diabetic treatment, with over 70% of them still had poor glycemic control.

Conclusions

Our results suggest that diabetes is associated with ALL, AML, NHL, and MM, at least in adult patients.

Diabetes and the Prognosis in Patients With Non-Hodgkin Lymphoma: A Meta-analysis of Cohort Studies

BACKGROUND

Consensus lacks regarding the association between diabetes mellitus (DM) and the prognosis of patients with non-Hodgkin lymphoma (NHL). We aimed to systematically evaluate the above association, as well as the potential influence of metformin use in a meta-analysis of cohort studies.

MATERIALS AND METHODS

Cohort studies investigating the association between DM and survival outcomes of patients with NHL were included by search of electronic databases that included PubMed, Embase, and Web of Science. A random-effects model was adopted to combine the results.

RESULTS

Eight cohort studies including 8652 patients with NHL were analyzed. Compared to non-DM patients with NHL, DM was associated with poor overall survival (OS, hazard ratio [HR] = 1.49, 95% confidence interval [CI]: 1.18-1.89, P < .001, I² = 69%), progression-free survival (PFS, HR = 1.30, 95% CI: 1.09-1.56, P = .004, I² = 0%), and lymphoma-specific survival (LSS, HR = 1.86, 95% CI: 1.41-2.45, P < .001, I² = 0%). Subgroup analysis showed consistent results in patients with diffuse large B-cell lymphoma (DLBCL, HR = 1.42, 1.35, and 1.95 for outcomes of OS, PFS, and LSS, respectively; P values all <.05). However, the associations between DM and these survival outcomes became nonsignificant in subgroup analysis limited to DM patients with concurrent use of metformin (HR = 1.30, 1.12, and 1.43 for outcomes of OS, PFS, and LSS, respectively; P values all > .10).

CONCLUSIONS

DM is associated with poor survival outcomes in patients with B-cell NHL, which is consistent in patients with DLBCL. Concurrent metformin use in DM patients with NHL may be associated with improved survival outcomes.

[The prognostic impact of diabetic mellitus and hyperglycemia during DLBCL treatment on patients with diffuse large B-cell lymphoma]

目的

探讨弥漫大B细胞淋巴瘤（DLBCL）患者的临床特征和预后因素，评估合并糖尿病（DM）及治疗过程中发生血糖升高对DLBCL预后的影响。

方法

回顾性收集2009年1月1日至2019年12月31日天津医科大学肿瘤医院及中山大学肿瘤防治中心收治的481例初诊DLBCL患者的临床资料，重点关注其治疗前及治疗中的血糖水平，采用Cox回归风险模型进行单因素分析评估预后影响因素，采用Kaplan-Meier法绘制生存曲线分析血糖异常对DLBCL患者总生存（OS）、无进展生存（PFS）的影响。

结果

82例（17.0％）患者在诊断DLBCL前患DM，88例（18.3％）患者在DLBCL治疗过程中至少发生一次血糖升高。单因素分析显示，年龄、Ann-Arbor分期、IPI评分、是否合并DM与OS、PFS相关（P值均<0.05）。组间比较显示，合并DM组与治疗过程中血糖升高组的OS和PFS均较无血糖异常组差（OS：P值分别为0.001、0.003，PFS：P值均<0.001），合并DM组与治疗过程中血糖升高组相比OS和PFS的差异均无统计学意义（P值分别为0.557、0.463）。化疗期间血糖控制良好组的OS和PFS优于血糖控制差组（OS：P＝0.037，PFS：P＝0.007）。

结论

合并DM是影响DLBCL患者预后的重要因素，治疗过程中血糖升高与DLBCL患者的不良预后相关。

Survival and glycemic control in patients with coexisting lymphoma and diabetes: a case-control analysis

Aim:

We examined the effect of diabetes on survival in patients with lymphoma and the effect of lymphoma on glycemic control.

Patients & methods:

Patients with lymphoma with and without diabetes (2005–2016) were retrospectively identified and matched 1:1. Overall survival and progression-free survival were estimated by the Kaplan–Meier method. Hemoglobin A_1c (HbA_1c) and glucose levels during the year after cancer diagnosis were compared by mixed models.

Results:

For patients with diabetes, mean HbA_1c during the year after lymphoma diagnosis was 6.7%. Estimated 5-year progression-free survival for patients with versus without diabetes was 63% (95% CI: 53–76%) versus 58% (95% CI: 46–71%) (p = 0.42).

Conclusion:

Lymphoma and its treatment did not affect glycemic control. Diabetes did not decrease lymphoma-specific survival.

This study aimed to determine the effect of diabetes on survival in patients with lymphoma and to assess whether lymphoma and its treatment affect glycemic control. We retrospectively identified 174 patients with lymphoma and matched them 1:1 (by current age, sex and age at lymphoma diagnosis) on the basis of the presence (n = 87) or absence (n = 87) of a diabetes diagnosis. Results suggest that diabetes does not decrease survival in patients with lymphoma and that lymphoma and its treatment do not affect glycemic control.

The incidence of non-Hodgkin lymphoma is increased in patients with obstructive sleep apnea

Obstructive sleep apnea (OSA) is known to be associated with several cancers, but studies assessing the association between OSA and lymphoma have not been conducted yet. This study aimed to investigate the associations between OSA and non-Hodgkin lymphoma, which accounts for the majority of lymphoma, using the Korea National Health Insurance Service database. This retrospective cohort study analyzed the data from the Korea National Health Insurance Service database. A total of 198,574 patients aged ≥ 20 years who were newly diagnosed with OSA between 2007 and 2014 were included. The control group comprising 992,870 subjects was selected using propensity score matching by age and sex. The mean follow-up duration was 4.8 ± 2.3 years. The primary endpoint was newly diagnosed non-Hodgkin lymphoma. The hazard ratio [95 % confidence interval] of OSA for the incidence of non-Hodgkin lymphoma was calculated based on Cox proportional hazard model. The incidence of non-Hodgkin lymphoma among patients with OSA was significantly higher than that among the controls (1.40 [1.16-1.69]). In particular, the incidence was higher in women than that in men (1.62 vs. 1.28). There was no difference in hazard ratio by age. In conclusion, OSA may be a risk factor for non-Hodgkin lymphoma.