Hemoglobin A1c and the relationship to stage and grade of endometrial cancer

Glycemic control and cancer outcomes in oncologic patients with diabetes: an Italian Association of Medical Oncology (AIOM), Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), Italian Society of Endocrinology (SIE), Italian Society of Pharmacology (SIF) multidisciplinary critical view

BACKGROUND

 Increasing evidence suggests that diabetes increases the risk of developing different types of cancer. Hyperinsulinemia, hyperglycemia and chronic inflammation, characteristic of diabetes, could represent possible mechanisms involved in cancer development in diabetic patients. At the same time, cancer increases the risk of developing new-onset diabetes, mainly caused by the use of specific anticancer therapies. Of note, diabetes has been associated with a ∼10% increase in mortality for all cancers in comparison with subjects who did not have diabetes. Diabetes is associated with a worse prognosis in patients with cancer, and more recent findings suggest a key role for poor glycemic control in this regard. Nevertheless, the association between glycemic control and cancer outcomes in oncologic patients with diabetes remains unsettled and poorly debated.

PURPOSE

 The current review seeks to summarize the available evidence on the effect of glycemic control on cancer outcomes, as well as on the possibility that timely treatment of hyperglycemia and improved glycemic control in patients with cancer and diabetes may favorably affect cancer outcomes.

Is hemoglobin A1c valuable for predicting concurrent endometrial cancer in diabetic women with endometrial intraepithelial neoplasia?

AIM

The purpose of this study was to determine the predictive value of preoperative hemoglobin A1c (HgA1c) level for endometrial cancer in diabetic women with endometrial intraepithelial neoplasia (EIN).

MATERIALS AND METHODS

Six hundred patients with EIN were retrospectively studied in a tertiary referral center in Turkey between January 2014 and December 2021. One hundred and thirteen diabetic patients with EIN who met the inclusion criteria were enrolled in the study and divided into three groups according to the final pathological results: Group 1 with benign findings (n = 29), Group 2 with EIN (n = 34) and Group 3 with endometrial cancer (n = 50). Demographic, clinical and biochemical characteristics were compared among the three groups. Receiver operating characteristic analysis (ROC) was used to evaluate the predictive value of HgA1c for concurrent endometrial cancer in EIN.

RESULTS

Mean preoperative HgA1c levels were different among three groups (5.41 ± 0.64, 6.01 ± 0.72, 6.65 ± 1.15, p < 0.001, respectively). The highest value of HgA1c level was found in cancer group and difference within pairs was statistically significant (p < 0.001). Age and duration of menopause were also different among groups (p < 0.005). After adjustment of HgA1c level for age and duration of menopause differences were maintained (p < 0.001), the cutoff value was detected as ≥6.05% for HgA1c and sensitivity, specificity was 60%, 70%, respectively (p < 0.001).

CONCLUSIONS

HgA1c could be used in prediction of endometrial cancer. The optimal cutoff value determined in our study could be considered in predicting endometrial cancer in diabetic women with EIN.

Metabolic profile of patients with endometrial adenocarcinoma and association with tumor grade

OBJECTIVE

To describe the prevalence of metabolic syndrome and other metabolic indicators in patients with endometrial cancer and its association with tumor grade.

METHODS

This is a cross-sectional study of patients with endometrial cancer referred to the Brazilian National Cancer Institute. We collected data on sociodemographic variables, smoking, co-morbidities, physical activity level, menopausal status, and tumor characteristics (histological subtype, stage, and tumor grade). In addition, weight, height, and waist circumference were measured. Laboratory evaluation included lipid profile, fasting blood glucose and insulin, and C-reactive protein. Insulin resistance was estimated by the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR). Characterization of metabolic syndrome and cardiovascular risk profile was performed. Binary logistic regression models were used to test the association between metabolic syndrome and its metabolic parameters, HOMA-IR, and C-reactive protein with tumor grade.

RESULTS

We included a total of 313 patients, 245 (78.3%) aged <65 years, 262 (83.7%) with endometrioid adenocarcinoma, 193 (61.7%) early stage, and 201 (64.2%) with lower tumor grade (G1 and G2). Metabolic syndrome, insulin resistance, and low levels of leisure-time physical activity were highly prevalent (90.7%). In binary logistic regression models, an association was observed between HOMA-IR and lower tumor grade (p<0.05), while high-grade tumors were associated with the highest C-reactive protein values (p<0.05).

CONCLUSION

The main finding of this study was the association between insulin resistance and low-grade tumors, and the association between high C-reactive protein levels and high-grade tumors.

Survival outcomes in endometrial cancer patients according to diabetes: a systematic review and meta-analysis

BACKGROUND

Diabetes is an established risk factor for endometrial cancer development but its impact on prognosis is unclear and epidemiological studies to date have produced inconsistent results. We aimed to conduct the first systematic review and meta-analysis to compare survival outcomes in endometrial cancer patients with and without pre-existing diabetes.

METHODS

We conducted a systematic search of MEDLINE, EMBASE and Web of Science databases up to February 2022 for observational studies that investigated the association between pre-existing diabetes and cancer-specific survival in endometrial cancer patients. Secondary outcomes included overall survival and progression or recurrence-free survival. Quality assessment of included studies was undertaken using the Newcastle-Ottawa Scale and a random-effects model was used to produce pooled hazard ratios (HRs) and 95% confidence intervals (CIs). (PROSPERO 2020 CRD42020196088).

RESULTS

In total, 31 studies were identified comprising 55,475 endometrial cancer patients. Pooled results suggested a worse cancer-specific survival in patients with compared to patients without diabetes (n = 17 studies, HR 1.15, 95% CI 1.00-1.32, I2 = 62%). Similar results were observed for progression or recurrence-free survival (n = 6 studies, HR 1.23, 95% CI 1.02-1.47, I2 = 0%) and for overall survival (n = 24 studies, HR 1.42, 95% CI 1.31-1.54, I2 = 46%).

CONCLUSION

In this systematic review and meta-analysis, we show that diabetes is associated with a worse cancer-specific and overall survival in endometrial cancer patients.

Diabetes mellitus and long-term mortality of ovarian cancer patients. A systematic review and meta-analysis of 12 cohort studies

Ovarian cancer (OC) is the sixth most common cancer among women, and its prognosis is not favorable. Diabetes mellitus (DM) is hypothesized to be associated with a higher mortality in ovarian cancer patients, but evidence is inconsistent. Thus, we aim to investigate if DM is associated with the long-term all-cause and long-term cancer-specific mortality in ovarian cancer patients by synthesizing available epidemiologic evidences. We used 4 electronic databases (PubMed, EMBASE, Web of Science, and Scopus) to search for eligible articles. Title/abstract screening, full-text review, data extraction, and quality assessment were performed by reviewers independently. In meta-analysis, studies reporting risk ratio (RR) or hazard ratio that investigated the association between DM and mortality of OC patients were synthesized by a random-effect model. Subgroup and sensitivity analyses were performed by certain stratification or restrictive rules. Publication bias was assessed by funnel plots and Egger test. Statistical heterogeneity was evaluated by the I-squared value and a chi-squared test for the Cochrane Q statistic. Twelve cohort studies involving 14 outcome measures were included. In overall meta-analysis, the synthesized RR for all-cause mortality was 1.44 (95% CI 1.16-1.79) without substantial statistical heterogeneity (P_Cochrane  = .145, I²  = 34.1%); the synthesized RR for cancer-specific mortality was 1.44 (95% CI 1.08-1.93) with substantial heterogeneity (P_Cochrane  < .001, I²  = 90.1%). No publication bias was observed. Our results suggest DM is associated with a higher all-cause and cancer-specific mortality in ovarian cancer patients. Future studies should be done to examine the association between type 1 DM and ovarian cancer mortality.

Acute Hyperglycemia Associated with Anti-Cancer Medication

Hyperglycemia during chemotherapy occurs in approximately 10% to 30% of patients. Glucocorticoids and L-asparaginase are well known to cause acute hyperglycemia during chemotherapy. Long-term hyperglycemia is also frequently observed, especially in patients with hematologic malignancies treated with L-asparaginase-based regimens and total body irradiation. Glucocorticoid-induced hyperglycemia often develops because of increased insulin resistance, diminished insulin secretion, and exaggerated hepatic glucose output. Screening strategies for this condition include random glucose testing, hemoglobin A1c testing, oral glucose loading, and fasting plasma glucose screens. The management of hyperglycemia starts with insulin or sulfonylurea, depending on the type, dose, and delivery of the glucocorticoid formulation. Mammalian target of rapamycin (mTOR) inhibitors are associated with a high incidence of hyperglycemia, ranging from 13% to 50%. Immunotherapy, such as anti-programmed death 1 (PD-1) antibody treatment, induces hyperglycemia with a prevalence of 0.1%. The proposed mechanism of immunotherapy-induced hyperglycemia is an autoimmune process (insulitis). Withdrawal of the PD-1 inhibitor is the primary treatment for severe hyperglycemia. The efficacy of glucocorticoid therapy is not fully established and the decision to resume PD-1 inhibitor therapy depends on the severity of the hyperglycemia. Diabetic patients should achieve optimized glycemic control before initiating treatment, and glucose levels should be monitored periodically in patients initiating mTOR inhibitor or PD-1 inhibitor therapy. With regard to hyperglycemia caused by anti-cancer therapy, frequent monitoring and proper management are important for promoting the efficacy of anti-cancer therapy and improving patients' quality of life.

Evaluation of hemoglobin A1c levels in endometrial cancer patients: a retrospective study in Turkey

BACKGROUND

Hemoglobin A1c(HgA1c) is a marker of poor gylcemic control and elevation HgA1c is associated with increased risk of many cancers. We aimed to determine the HgA1c levels in endometrial cancer cases and any relationship with stage and grade of disease.

MATERIALS AND METHODS

A retrospective data review was performed between June 2011 and October 2012 at a tertiary referral center in Turkey. The study included 35 surgically staged endometrial cancer patients and 40 healthy controls. Preoperative HgA1c levels drawn within 3 months before surgery were compared. Also the relationships between HgA1c levels and stage, grade and hystologic type of cancer cases were evaluated.

RESULTS

The mean HgA1c levels were statistically significantly higher at 6.19 ± 1.44 in endometrial cancer cases than the 5.61 ± 0.58 in controls (p=0.027). With endometrial cancer cases, the mean HgA1c level was found to be 6.62 ± 1.40 for stage I and 6.88 ± 1.15 for stages II-IV (p=0.07). The figures were 6.74 ± 1.65 for endometrioid and 6.63 ± 1.41 for non-endometrioid type tumors (p=0.56). Mean HgA1c levels of 6.72 ± 1.14 for grade 1 and 6.62 ± 1.42 for grade 2-3 were observed (p=0.57).

CONCLUSIONS

HgA1c levels in endometrial cancer patients were statistically higher than healthy controls. However, HgA1c did not show any significant correlation with stage, grade and histologic type in endometrial cancer cases.

Does cancer risk increase with HbA1c, independent of diabetes?

Background:

The risks for several cancer types are increased in people with diabetes. Hyperglycaemia, hyperinsulinaemia, inflammation and altered hormonal concentrations are common characteristics between the two diseases and can all be linked to hyperglycaemia.

Methods:

Here, we use glycated haemoglobin (HbA_1c) as a biomarker for chronic hyperglycaemia. We explore whether cancer risk increases with HbA_1c, independent of diabetes, and, therefore, if risk is already increased below the diabetic HbA_1c range, by analysing data from current studies linking HbA_1c to risk of several cancer types.

Results:

The data reveal that chronic hyperglycaemia correlates with increased cancer risk for a number of cancers, except prostate cancer. Evidence is also provided that risk is already increased in the pre-diabetic and normal ranges for several cancers.

Conclusions:

These results merit urgent investigation into the risks and advantages of updating recommendations for stricter glycaemic control in diabetic and non-diabetic subjects, as this could help reduce the risk of cancer incidence and mortality.