Short-term adverse effects of anticancer drugs in patients with type 2 diabetes

Body Mass Index is related to short-term retinal worsening in type 2 diabetes mellitus patients treated with anticancer drugs

BACKGROUND

In cancer patients with diabetes, anticancer drugs (ADs) may negatively affect the course of diabetes vascular complications. The short-term effects of ADs on type 2 diabetes (T2DM) retinopathy are poorly known. This study evaluated the short-term effects of different classes of ADs on diabetic retinopathy (DR) and clinical risk factors for retinal worsening (RW) in cancer patients affected by T2DM.

METHODS

Retrospective single-center study evaluating 168 patients with T2DM and cancer. The diagnosis of T2DM preceded those of cancer in all patients. We evaluated the retinal short-term effects within the six months after the first-line ADs treatment.

RESULTS

After ADs, 6% of patients had a short-term RW. BMI is positively associated with the risk of RW (OR 1.45, 95% confidence interval: 1.1-1.9, P<0.005). Patients treated with alkylating agents and topoisomerase inhibitors have an increased risk of RW (P=0.049 and P=0.057, respectively) and a significantly higher HDL level (P<0.01).

CONCLUSIONS

To our knowledge, this study is the first investigating the short-term impact of ADs on DR of T2DM patients. Moreover, we provide information arose from a real-world setting. As confirmed by other studies, these findings could help to identify patients at risk for short-term RW, who should be promptly referred to the ophthalmologist for the prevention of visual impairment.

Excessive generalized and visceral adiposity is associated with a higher prevalence of diabetic retinopathy in Caucasian patients with type 2 diabetes

BACKGROUND AND AIMS

Type 2 Diabetes Mellitus (T2D) has heterogeneous clinical phenotypes related to different risk of developing diabetes complications. We investigated the correlation between generalized and abdominal adiposity and the prevalence of both micro- and macrovascular complications in Caucasian patients with T2D.

METHODS AND RESULTS

We evaluated 769 individuals with T2D consecutively referred to our diabetes center. Body mass index (BMI), waist circumference (WC), waist to hip (W/H) ratio, glycated hemoglobin (HbA1c), systolic and diastolic blood pressure, lipid profile, smoking habit, diabetes therapy, and micro- and macrovascular complications were recorded. Patients were divided into three groups based on BMI and WC: non-obese with normal WC (nWC, n = 220), non-obese with excess of abdominal fat (AF, n = 260) and obese (Ob, n = 289). We found that nWC, compared with AF and Ob individuals, were predominantly males (p<0.01), had lower HbA1c (p<0.01), diastolic blood pressure (p<0.01), triglycerides (p<0.01), and showed a significantly lower prevalence of diabetic retinopathy (DR) (p = 0.01). The rate of proliferative DR was significantly higher in Ob (13.2 %) compared to the other groups (p = 0.03). Multivariate analyses showed a significantly decreased prevalence of DR in nWC compared to both AF (OR 0.58, 95 CI 0.34-0.96; p = 0.03) and Ob (OR 0.57, 95 CI 0.33-0.98; p = 0.04) individuals. Conversely, DR was associated, mainly in women, to higher WC and W/H ratio. The prevalence of the other diabetes-related complications was similar among the studied groups.

CONCLUSIONS

In our population, nWC subjects showed a lower prevalence of DR. An increased generalized and abdominal adiposity was associated to a higher prevalence of DR, especially among females.

Influence of Diabetes Mellitus on Oncological Outcomes for Patients Living With Cancer

PURPOSE

The purpose of this meta-analysis was to examine the association between preexisting diabetes in persons living with cancer on diabetes and oncology-related health outcomes. Understanding this association is of priority because the incidence of both cancer and diabetes mellitus is increasing worldwide.

METHODS

A comprehensive review of the literature was conducted in collaboration with an expert health sciences librarian. Two authors independently conducted the screening, data collection, and extraction processes. The risk of bias was assessed using several tools, depending on the study design. Relative risks with 95% confidence intervals were calculated. The alpha threshold was 0.05. All analyses were performed using R statistical software (Metaphor and Demeter packages).

RESULTS

A total of 45 studies met the selection criteria, but 23 were excluded from the synthesis because they did not have the ranked outcome or correct comparison (persons with and without diabetes), totaling 22 studies included in the meta-analysis. In comparison to participants without preexisting diabetes, participants with preexisting diabetes and cancer were found to have a significantly higher risk of infection and cardiovascular, neurological, gastrointestinal, hepatic, and renal complications. Concurrent preexisting diabetes and cancer were also associated with increased health care service utilization and length of hospital stay.

CONCLUSION

The findings from this review highlight the importance of optimal concurrent management of both diseases by overcoming the compartmentalization of medical specializations through (1) integrated, multidisciplinary, shared, and coordinated clinical care pathways between oncology and diabetes health care providers/teams and (2) the continued development of evidence-based clinical guidelines.

Multiomics Integrated Analysis Identifies SLC24A2 as a Potential Link between Type 2 Diabetes and Cancer

Background

So far, type 2 diabetes (T2D) is considered as an independent risk factor for various cancers, but the underlying mechanism remains unclear. Methods. SLC24A2 was first identified as a key gene strongly associated with fasting plasma glucose (FPG). Then, overlapped differentially expressed genes (DEGs) between T2D verse control and SLC24A2-high verse SLC24A2-low were extracted and imported into weighted correlation network analysis. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and gene set enrichment analysis were used for functional enrichment analysis of DEGs. Least absolute shrinkage and selection operator was utilized to build a T2D prediction model. Timer and K-M plotters were employed to find the expression and prognosis of SLC24A2 in pan cancer.

Results

Interestingly, both DEGs between T2D verse control and SLC24A2-high verse SLC24A2-low enriched in cancer-related pathways. Moreover, a total of 3719 overlapped DEGs were divided into 8 functional modules. Grey module negatively correlated with T2D and FPG and was markedly involved in ribosome biogenesis. Ten SLC24A2-related genes (RRP36, RPF1, GRWD1, FBL, EXOSC5, BCCIP, UTP14A, TWISTNB, TBL3, and SKIV2L) were identified as hub genes, based on which the LASSO model accurately predicts the occurrence of T2D (AUC = 0.841). In addition, SLC24A2 was only expressed in islet β cells and showed abnormal expression in 17 kinds of cancers and significantly correlated with the prognosis of 10 kinds of cancers.

Conclusion

Taken together, SLC24A2 may link T2D and cancer by influencing the ribosome function of islet β cells and play different prognostic roles in different cancers.

Influence of Body Mass Index, Cancer Type and Treatment on Long-Term Metabolic and Liver Outcomes in Childhood Cancer Survivors

In the last decade, the survival of subjects affected by cancer in childhood has significantly improved. The increased lifespan of childhood cancer survivors (CCS) led to a greater risk for long-term, therapy-related morbidity. To identify the clinical predictors of metabolic adverse outcomes in CCS (average off-therapy period: 12 years), we recruited 126 survivors of different childhood cancers (86.5% hematological cancers) who received at least anticancer chemotherapy, consecutively approached during their annual oncohematological outpatient visit. At examination, anthropometric measures and cancer-related history were collected. Moreover, a fasting venous sample was carried out for measuring fasting plasma glucose and insulin, glycated hemoglobin, lipid panel, and transaminases. We calculated the indexes of insulin resistance (HOMA-IR, McAuley, and QUICKI) and secretion (HOMA-β), liver steatosis (Hepatic Steatosis Index) and fibrosis (FIB-4 and NAFLD fibrosis score), and visceral fat dysfunction (Visceral Adiposity Index). More than one-third of the subjects (37.3%) did not have normal weight, with 11.1% of them affected by obesity. At recruitment, obese subjects were at significantly higher risk for impaired fasting glucose, metabolic syndrome, visceral adipose dysfunction, and liver steatosis/fibrosis. Subjects who received bone marrow transplantation were prone to insulin resistance, while survivors of lymphoma presented a visceral adipose dysfunction These results suggest a carefully metabolic monitoring of CCS, particularly in subgroups at higher risk, to early detect these conditions, promptly begin therapeutic interventions, and mitigate the dysmetabolic-related health burden.

Efficacy of flash glucose monitoring in pregnant women with poorly controlled pregestational diabetes (FlashMom): A randomized pilot study

BACKGROUND AND AIMS

Good glycemic control is crucial to reduce the risk of adverse pregnancy outcomes. Our aim was to evaluate the efficacy of Flash Glucose Monitoring (FGM) on glucose control in women with pregestational diabetes.

METHODS AND RESULTS

Forty women with inadequately controlled type 1 (T1D, n = 34) and type 2 (T2D, n = 6) diabetes at conception were randomly assigned to two arms: the Flash Glucose group (FG, n = 21) using FGM, and the control group (CG, n = 19) using self-monitoring of blood glucose (SMBG). Glycated hemoglobin (HbA1c, %), time in (TIR), below (TBR) and above (TAR) range, glucose variability as well as the occurrence of maternal and neonatal adverse outcomes, were evaluated. HbA1c decreased significantly (p < 0.01) and similarly (-0.65 ± 0.7 vs. -0.67 ± 0.8 for FG and CG, respectively; p = 0.89) in both groups during pregnancy. HbA1c reduction was positively associated with the number of daily FGM scans (p < 0.01). TBR (12.1 ± 2.0% vs. 19.6 ± 3.9%, p = 0.04) and the mean of the daily serum glucose difference (MODD) index (59.1 ± 5.4 vs. 77.7 ± 4.6, p = 0.02) were significantly lower in FG at second trimester. The rates of perinatal adverse outcomes were not different in the two studied groups.

CONCLUSIONS

In women with pregestational diabetes, FGM and SMBG had similar efficacy on glucose control during pregnancy. FGM showed additional advantages in terms of TBR and glucose variability. Achievement of good metabolic results depended on the adequate use of glucose sensor.

REGISTRATION

At ClinicalTrials.gov as NCT04666818 on December 14, 2020.

Type 2 diabetes and cancer: problems and suggestions for best patient management

Diabetes and cancer are widespread worldwide and the number of subjects presenting both diseases increased over the years. The management of cancer patients having diabetes represents a challenge not only because of the complexity and heterogeneity of these pathologies but also for the lack of standardised clinical guidelines. The diagnosis of cancer is traumatizing and monopolizes the attention of both patients and caregivers. Thus, pre-existent or new-onset diabetes can be overshadowed thus increasing the risk for short- and long-term adverse events. Moreover, drugs used for each disease can interfere with the clinical course of the concomitant disease, making challenging the management of these patients. Over the years, this issue has become more relevant because of the increased patients’ life expectancy due to the improved efficacy of diabetes and cancer therapies. The purpose of this review is to highlight what is known and what should be taken into consideration to optimise the clinical management of patients with diabetes and cancer. Due to the complexity of these diseases, a multidisciplinary, shared approach, including all the protagonists involved, is necessary to improve patients’ quality of life and lifespan.