Current cancer therapies and their influence on glucose control

Linagliptin's impact on lymphatic barrier and lymphangiogenesis in oral cancer with high glucose

OBJECTIVES

Uncertainties remain regarding the effect of elevated glucose levels on lymphatic metastasis of cancer cells. Our study elucidated the mechanisms linking high glucose to lymphangiogenesis and lymphatic barrier-related factors and investigated the protective role of linagliptin against lymphatic barrier dysfunction.

MATERIALS AND METHODS

A CAL-27-LEC co-culture system was established. Sodium fluorescein permeability assay observed lymphatic endothelial cell permeability. Western blotting and RT-qPCR detected protein and mRNA expression under different conditions, respectively. CCK-8, scratch wound healing, and transwell assays revealed cell migration and proliferation. Tube formation experiment tested capacity for endothelial tube formation. Immunohistochemical staining analyzed tissue sections from 43 oral cancer individuals with/without diabetes.

RESULTS

In high-glucose co-culture system, we observed increased lymphatic barrier permeability and decreased expression of ZO-1 and occludin, two tight-junction proteins; conversely, the expression of PAR2, a high permeability-related protein, was increased. Following linagliptin treatment, the expression levels of VEGF-C, VEGFR-3, and PAR2 decreased, while those of ZO-1 and occludin increased. Considerably higher levels of LYVE-1 expression in individuals with diabetes than in those without diabetes.

CONCLUSIONS

By ameliorating the high glucose-induced disruption of the lymphatic endothelial barrier, linagliptin may reduce lymphangiogenesis and exhibit an inhibitory effect on lymphatic metastasis in oral cancer patients with diabetes.

The association of diabetes mellitus and routinely collected patient-reported outcomes in patients with cancer. A real-world cohort study

OBJECTIVE

Current studies have indicated that diabetes mellitus (DM) is highly prevalent in patients with cancer, but there is little research on consequences on the well-being of patients during cancer treatment. This analysis evaluates the relationship between DM and patient-reported outcomes (PRO) in patients with cancer, using a large and well-characterized cohort.

METHODS

This study utilized the Total Cancer Care protocol at the University of Utah Huntsman Cancer Institute. For this analysis, we integrated data from electronic health records, the Huntsman Cancer Registry, and routinely collected PRO questionnaires. We assessed the association between DM in patients with cancer and PRO scores for anxiety, depression, fatigue, pain interference, and physical function using multiple linear regression and t-tests.

RESULTS

The final cohort comprised 3512 patients with cancer, with a mean age of 57.8 years at cancer diagnosis. Of all patients, 49.1% (n = 1724) were female, with 82.0% (n = 2879) patients reporting PROs at least at one time point. Compared with patients who responded, nonresponders were more often female (p = 0.0035), less frequently non-Hispanic White (p = 0.0058), and had a higher BMI (p = 0.0759). Patients with cancer and diabetes had worse PRO scores for anxiety (p = 0.0003), depression (p < 0.0001), fatigue (p < 0.0001), pain interference (p < 0.0001), and physical function (p < 0.0001) compared to patients with cancer without diabetes. Significant associations between diabetes and PRO scores were observed for anxiety (β ± SE: 1.27 ± 0.48; p = 0.0076), depression (β ± SE: 1.46 ± 0.45; p = 0.0011), fatigue (β ± SE: 2.11 ± 0.52; p < 0.0001), pain interference (β ± SE: 1.42 ± 0.50; p = 0.0046), and physical function (β ± SE: -2.74 ± 0.48; p < 0.0001).

CONCLUSIONS

The results of this study suggest that patients with cancer and diabetes may be at greater risk for anxiety, depression, fatigue, higher pain interference, and reduced physical function. Strengthening diabetes management is imperative to address the negative impact of diabetes on PROs. In particular, this may be true for patients with skin, breast, prostate, and kidney cancer.

The Interlinking Metabolic Association between Type 2 Diabetes Mellitus and Cancer: Molecular Mechanisms and Therapeutic Insights

Type 2 diabetes mellitus (T2DM) and cancer share common risk factors including obesity, inflammation, hyperglycemia, and hyperinsulinemia. High insulin levels activate the PI3K/Akt/mTOR signaling pathway promoting cancer cell growth, survival, proliferation, metastasis, and anti-apoptosis. The inhibition of the PI3K/Akt/mTOR signaling pathway for cancer remains a promising therapy; however, drug resistance poses a major problem in clinical settings resulting in limited efficacy of agents; thus, combination treatments with therapeutic inhibitors may solve the resistance to such agents. Understanding the metabolic link between diabetes and cancer can assist in improving the therapeutic strategies used for the management of cancer patients with diabetes and vice versa. This review provides an overview of shared molecular mechanisms between diabetes and cancer as well as discusses established and emerging therapeutic anti-cancer agents targeting the PI3K/Akt/mTOR pathway in cancer management.

Perioperative Management of Patients with Diabetes and Cancer: Challenges and Opportunities

BACKGROUND

Both diabetes and cancer are major global health issues that are among the leading causes of morbidity and mortality. There is a high prevalence of diabetes among cancer patients, many of whom require a surgical procedure. This review focuses on the operative complications in patients with diabetes and cancer, and the perioperative management of diabetes in cancer patients.

METHODOLOGY

A literature search of articles in English-published between January 2010 and May 2024-was carried out using the databases PubMed, MEDLINE, Google Scholar, and the Cochrane Database of Systematic Reviews. The search primarily focused on the operative complications in patients with diabetes and cancer, and perioperative management strategies.

RESULTS

The relationship between cancer and diabetes is complex; cancer patients have a high risk of developing diabetes, while diabetes is a risk factor for certain cancers. In addition, various cancer therapies can induce or worsen diabetes in susceptible patients. Many individuals with cancer and diabetes require surgery, and due to underlying diabetes, they may have elevated risks for operative complications. Optimal perioperative management for these patients includes managing perioperative glycemia and other comorbid illnesses, adjusting diabetic and cancer treatments, optimizing nutrition, minimizing the duration of fasting, supporting early mobilization, and providing patient education to enable self-management.

CONCLUSIONS

While evidence is limited, optimal perioperative management for patients with both diabetes and cancer is necessary in order to reduce surgical complications. Future studies are needed to develop evidence-informed perioperative strategies and improve outcomes for these patients.

Optimal Glycated Hemoglobin Cutoff for Diagnosis of Diabetes and Prediabetes in Chinese Breast Cancer Women

Purpose

Glycated hemoglobin (HbA1c) is widely used in diabetes management and now recommended for diagnosis and risk assessment. Our research focused on investigating the optimal cutoff points of HbA1c for diagnosis of diabetes and prediabetes in Chinese breast cancer women, aiming to enhance early detection and tailor treatment strategies.

Patients and Methods

This study involved 309 breast cancer women without diabetes history in China. Patients were categorized into groups of newly diagnosed diabetes, prediabetes, and normal glucose tolerance using oral glucose tolerance test (OGTT) according to the 2010 ADA criteria. HbA1c data were collected from all patients. Receiver operating characteristic (ROC) curve analysis was used to assess the effectiveness of the HbA1c screening.

Results

Among the 309 breast cancer women without diabetes history, 96 (31.0%) were identified with diabetes and 130 (42.1%) had prediabetes according to OGTT, and the incidence of normal glucose tolerance was only 26.9% (83). ROC curve analysis, using OGTT as a reference, revealed that the area under the curve of 0.903 (P<0.001, 95% CI, 0.867-0.938) for HbA1c alone, indicating high accuracy. The optimal HbA1c cutoff for identifying diabetes was determined to be 6.0%, with a sensitivity of 78.1% and specificity of 86.4%. For prediabetes, the ROC curve for HbA1c alone showed that the area under the ROC curve of 0.703 (P<0.001, 95% CI, 0.632-0.774), with an optimal cutoff of 5.5% (sensitivity of 76.9% and specificity of 51.8%).

Conclusion

The prevalence of undiagnosed diabetes is very high in breast cancer women without diabetes history in China. The optimal cutoff points of HbA1c for identifying diabetes and prediabetes are 6.0% and 5.5% in Chinese breast cancer women, respectively.

The real-life management of glucose homeostasis abnormalities in pediatric onco-hematological diseases: data from a national survey

Glycemic abnormalities are a frequent finding in pediatric oncological patients, both during treatment and after its discontinuation. Moreover, impaired glucose tolerance (IGT), impaired fasting glycemia (IFG) and diabetes mellitus (DM) are not rarely diagnosed in non-oncological hematological diseases. To explore the current pediatric Italian approach to the diagnosis and the management of the glycemic alterations in this clinical setting and, thus, to identify and enforce current clinical needs, we submitted an online 23-items survey to all the Italian Associazione Italiana Ematologia Oncologia Pediatrica (AIEOP) centers, and surveys were descriptively analyzed. Thirty-nine AIEOP centers were involved in the study. In 2021, among 75278 children and adolescents affected by an oncological or a hematological disease, 1.2 and 0.65% developed DM, while IGT or IFG were widespread in 2.3 and 2.8%, respectively. The main causes of DM were the use of corticosteroids in patients with cancer and the iron overload in patients with thalassemia. Venous fasting plasma glycemia was the most used tool to detect glycemic abnormalities. The performance of oral glucose tolerance test (OGTT) was extremely limited, except when IFG occurred. Despite the diagnosis of DM, ∼45% of patients with cancer and 30% of patients with one hematological disease did not receive an appropriate treatment. In the other cases, insulin was the drug of first choice. Emerging technologies for diabetes care (glucose sensors and insulin pumps) are not largely used yet. The results of our study support the standardization of the care of the glycemic abnormalities during or after onco-hematologic diseases in the pediatric age. Despite the scarce data in pediatric literature, proper guidelines are needed.

Expanding the Role of Continuous Glucose Monitoring in Modern Diabetes Care Beyond Type 1 Disease

Application of continuous glucose monitoring (CGM) has moved diabetes care from a reactive to a proactive process, in which a person with diabetes can prevent episodes of hypoglycemia or hyperglycemia, rather than taking action only once low and high glucose are detected. Consequently, CGM devices are now seen as the standard of care for people with type 1 diabetes mellitus (T1DM). Evidence now supports the use of CGM in people with type 2 diabetes mellitus (T2DM) on any treatment regimen, not just for those on insulin therapy. Expanding the application of CGM to include all people with T1DM or T2DM can support effective intensification of therapies to reduce glucose exposure and lower the risk of complications and hospital admissions, which are associated with high healthcare costs. All of this can be achieved while minimizing the risk of hypoglycemia and improving quality of life for people with diabetes. Wider application of CGM can also bring considerable benefits for women with diabetes during pregnancy and their children, as well as providing support for acute care of hospital inpatients who experience the adverse effects of hyperglycemia following admission and surgical procedures, as a consequence of treatment-related insulin resistance or reduced insulin secretion. By tailoring the application of CGM for daily or intermittent use, depending on the patient profile and their needs, one can ensure the cost-effectiveness of CGM in each setting. In this article we discuss the evidence-based benefits of expanding the use of CGM technology to include all people with diabetes, along with a diverse population of people with non-diabetic glycemic dysregulation.

A Concerted Vision to Advance the Knowledge of Diabetes Mellitus Related to Immune Checkpoint Inhibitors

The rubric of immune-related (ir) diabetes mellitus (DM) (irDM) encompasses various hyperglycemic disorders related to immune checkpoint inhibitors (ICPis). Beyond sharing similarities with conventional DM, irDM is a distinct, yet important, entity. The present narrative review provides a comprehensive overview of the literature regarding irDM published in major databases from January 2018 until January 2023. Initially considered rare, irDM is increasingly being reported. To advance the knowledge of irDM, the present review suggests a concerted vision comprising two intertwined aspects: a scientific-centered and a patient-centered view. The scientific-centered aspect addresses the pathophysiology of irDM, integrating: (i) ICPi-induced pancreatic islet autoimmunity in genetically predisposed patients; (ii) altered gut microbiome; (iii) involvement of exocrine pancreas; (iv) immune-related acquired generalized lipodystrophy. The patient-centered aspect is both nurtured by and nurturing the four pillars of the scientific-centered aspect: awareness, diagnosis, treatment, and monitoring of irDM. The path forward is a multidisciplinary initiative towards: (i) improved characterization of the epidemiological, clinical, and immunological profile of irDM; (ii) standardization of reporting, management, and surveillance protocols for irDM leveraging global registries; (iii) patient stratification according to personalized risk for irDM; (iv) new treatments for irDM; and (v) uncoupling ICPi efficacy from immunotoxicity.

Risk Factors of Hyperglycemia After Treatment With the AKT Inhibitor Ipatasertib in the Prostate Cancer Setting: A Machine Learning-Based Investigation

PURPOSE

Hyperglycemia is a major adverse event of phosphatidylinositol 3-kinase/AKT inhibitor class of cancer therapeutics. Machine learning (ML) methodologies can identify and highlight how explanatory variables affect hyperglycemia risk.

METHODS

Using data from clinical trials of the AKT inhibitor ipatasertib (IPAT) in the metastatic castrate-resistant prostate cancer setting, we trained an XGBoost ML model to predict the incidence of grade ≥2 hyperglycemia (HGLY ≥ 2). Of the 1,364 patients included in our analysis, 19.4% (n = 265) of patients had HGLY ≥2 events with a median time of first onset of 28 days (range, 0-753 days), and 30.0% (n = 221) of patients on an IPAT regimen had at least one HGLY ≥2 event compared with 7.0% (n = 44) of patients on placebo.

RESULTS

An 11-variable XGBoost model predicted HGLY ≥2 events well with an AUROC of 0.83 ± 0.02 (mean ± standard deviation). Using SHapley Additive exPlanations analysis, we found IPAT exposure and baseline HbA1c levels to be the strongest predictors of HGLY ≥2, with additional predictivity of baseline measurements of fasting glucose, magnesium, and high-density lipoproteins.

CONCLUSION

The findings support using patients' prediabetic status as a key factor for hyperglycemia monitoring and/or trial exclusion criteria. Additionally, the model and relationships between explanatory variables and HGLY ≥2 described herein can help identify patients at high risk for hyperglycemia and develop rational risk mitigation strategies.

Stationäre Patienten mit der Nebendiagnose Diabetes mellitus: klinische Relevanz

In deutschen Krankenhäusern werden jährlich etwa 3 Mio. Patienten mit Diabetes stationär behandelt, davon 93 % nicht wegen, sondern mit dieser Erkrankung. In einzelnen Fachabteilungen liegt bei bis zu 40 % der Patienten die Nebendiagnose Diabetes vor. Sie haben oft eine relevante Komorbidität und im Vergleich zu Krankenhauspatienten ohne Diabetes eine längere stationäre Verweildauer, entwickeln deutlich häufiger Komplikationen und müssen öfter kurzfristig wieder aufgenommen werden. In dieser Übersicht wird die klinische Relevanz der Nebendiagnose Diabetes mellitus für Krankenhauspatienten besprochen.

Capecitabine-induced severe diabetes and hypokalemia: a case report

Background

Capecitabine is widely used in chemotherapy for breast, colorectal, and gastric cancers. The frequent adverse reactions of capecitabine mainly include gastrointestinal side effects, anemia, and cardiovascular toxicity. Here, we report a rare case of severe hyperglycemia and hypokalemia during long-term treatment with capecitabine.

Case presentation

A 48-year-old Chinese female was hospitalized with the complaint of breathlessness and weakness after activity, for 1 month. Her past history is significant for a diagnosis of right-sided breast cancer 7 years ago. She underwent right mastectomy, following which capecitabine was started 1.5 years prior to the current admission as part of her primary treatment at the discovery of systemic osseous metastasis. Her fasting plasma glucose and hemoglobin A1c levels were quite normal 7 months ago but increased to 15.3 mmol/L and 11.2%, respectively, at the present admission. Her serum potassium level was as low as 2.5 mmol/L. Plasma autoantibodies related to islets and insulin were all negative. Capecitabine was discontinued, and an insulin pump and potassium supplement were given after admission. Her blood sugar and potassium levels returned to their normal ranges soon. Self-injection of insulin was withdrawn completely at 2 months after discharge, and no oral hypoglycemic agents were added. Her plasma glucose and electrolyte levels were at normal levels at her 1-year follow-up.

Conclusion

Glucose intolerance and hypokalemia may be rare but serious adverse effects during long-term chemotherapy with capecitabine.

Metabolic Implications of Immune Checkpoint Proteins in Cancer

Expression of immune checkpoint proteins restrict immunosurveillance in the tumor microenvironment; thus, FDA-approved checkpoint inhibitor drugs, specifically PD-1/PD-L1 and CTLA-4 inhibitors, promote a cytotoxic antitumor immune response. Aside from inflammatory signaling, immune checkpoint proteins invoke metabolic reprogramming that affects immune cell function, autonomous cancer cell bioenergetics, and patient response. Therefore, this review will focus on the metabolic alterations in immune and cancer cells regulated by currently approved immune checkpoint target proteins and the effect of costimulatory receptor signaling on immunometabolism. Additionally, we explore how diet and the microbiome impact immune checkpoint blockade therapy response. The metabolic reprogramming caused by targeting these proteins is essential in understanding immune-related adverse events and therapeutic resistance. This can provide valuable information for potential biomarkers or combination therapy strategies targeting metabolic pathways with immune checkpoint blockade to enhance patient response.