Does diabetes mellitus have an impact on the prognosis for patients with cervical cancer?

Insulin Resistance: The Increased Risk of Cancers

Insulin resistance, also known as impaired insulin sensitivity, is the result of a decreased reaction of insulin signaling to blood glucose levels. This state is observed when muscle cells, adipose tissue, and liver cells, improperly respond to a particular concentration of insulin. Insulin resistance and related increased plasma insulin levels (hyperinsulinemia) may cause metabolic impairments, which are pathological states observed in obesity and type 2 diabetes mellitus. Observations of cancer patients confirm that hyperinsulinemia is a major factor influencing obesity, type 2 diabetes, and cancer. Obesity and diabetes have been reported as risks of the initiation, progression, and metastasis of several cancers. However, both of the aforementioned pathologies may independently and additionally increase the cancer risk. The state of metabolic disorders observed in cancer patients is associated with poor outcomes of cancer treatment. For example, patients suffering from metabolic disorders have higher cancer recurrence rates and their overall survival is reduced. In these associations between insulin resistance and cancer risk, an overview of the various pathogenic mechanisms that play a role in the development of cancer is discussed.

[Diabetes mellitus and the female reproductive system tumors]

The article discusses various pathophysiological conditions and processes that lead to the development of tumors in diabetes mellitus. These include obesity, hyperglycemia, hyperinsulinemia, inflammation, and oxidative stress. The data of epidemiological studies are given, in which it was found that diabetes mellitus (both type 1 and type 2) increases the risk of developing the female reproductive system tumors, such as ovarian cancer, endometrial cancer, while for cervical cancer, vaginal cancer and vulvar cancer, such a relationship has not been clearly identified.

A simple screening score to predict diabetes in cancer patients: A Korean nationwide population-based cohort study

Many cancer patients develop diabetes, which may result in reduction of chemotherapy effectiveness and increased infection risk and cardiovascular mortality. Diabetes may also increase the risks of chemotherapy-related toxicity and post-operative mortality, or represent an obstacle to optimal cancer treatment. However, the clinical predictors of diabetes in cancer patients remain largely unknown. Therefore, the aim of our study was to evaluate the risk factors for developing diabetes and construct a nomogram to predict diabetes in cancer patients.We investigated patients from a national sample cohort obtained from the Korea National Health Insurance Service (KNHIS), which included 2% of the Korean population. Patients who had undergone routine medical evaluation by the KNHIS between 2004 and 2008 and been hospitalized due to cancer (ICD-10 codes C00-97) during the past 3 years were included. After excluding patients with type 2 diabetes and missing data, 10,899 patients were enrolled and followed-up until 2013. A total of 7630 (70%) patients were assigned as the training cohort and used to construct the nomogram which was based on a multivariable logistic regression model. The remaining patients (n = 3269) were used as the validation cohort.The incidence rate of diabetes was 12.1 per 1000 person-years over a mean follow-up of 6.6 ± 1.8 years. Significant risk factors for developing diabetes were age, sex, obesity, fasting plasma glucose, hypertension, and hypercholesterolmia. A nomogram was constructed using these variables and internally validated. The area under the curve was 0.70 (95% confidence interval, .666-.730, P < .0001) and the calibration plot showed agreement between the actual and nomogram-predicted diabetes probabilities.The nomogram developed in this study is easy to use and convenient for identifying cancer patients at high-risk for type 2 diabetes, enabling early type 2 diabetes screening and management.

Impact of Poor Preoperative Glycemic Control on Outcomes among Patients with Cervical Cancer Undergoing a Radical Hysterectomy

BACKGROUND

The impact of preoperative glycemic control on the survival outcomes of patients undergoing a radical hysterectomy (RH) for cervical cancer has not been investigated.

PATIENTS AND METHODS

We reviewed patients who underwent a type III RH for cervical cancer between January 2004 and June 2011 in our institution.

RESULTS

A total of 431 patients were included and 83 (19.3%) were diagnosed with diabetes mellitus (DM). Poorly controlled DM (preoperative hemoglobin A1c [HbA1c] ≥7.0%) was observed in 49 (59.0%) diabetic patients. Compared to patients without DM and diabetic patients with good glycemic control (preoperative HbA1c <7.0%), diabetic patients with poor glycemic control had significantly higher risks of tumor recurrence, cervical cancer-specific death, and overall death. In multivariate analysis, DM with poor glycemic control independently predicted recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS). We excluded patients without DM and performed a sensitivity analysis. When HbA1c levels were treated as a dichotomous variable, preoperative HbA1c ≥7.0% was independently associated with RFS, CSS, and OS. When HbA1c level was treated as a continuous variable, it remained an independent predictor of RFS, CSS, and OS.

CONCLUSION

DM with poor glycemic control prior to RH was significantly associated with an increased risk of recurrence and mortality in cervical cancer patients. These results underscore the importance of intensive glycemic control and close follow-up for diabetic patients.

Linking type 2 diabetes and gynecological cancer: an introductory overview

Type 2 diabetes (T2D) is a chronic disease with a growing prevalence and a leading cause of death in many countries. Several epidemiological studies observed an association between T2D and increased risk of many types of cancer, such as gynecologic neoplasms (endometrial, cervical, ovarian and vulvar cancer). Insulin resistance, chronic inflammation and high free ovarian steroid hormones are considered the possible mechanisms behind this complex relationship. A higher risk of endometrial cancer was observed in T2D, even though this association largely attenuated after adjusting for obesity. A clear relationship between the incidence of cervical cancer (CC) and T2D has still not be determined; however T2D might have an impact on prognosis in patients with CC. To date, studies on the association between T2D and ovarian cancer (OC) are limited. The effect of pre-existing diabetes on cancer-specific mortality has been evaluated in several studies, with less clear results. Other epidemiological and experimental studies focused on the potential role of diabetes medications, mainly metformin, in cancer development in women. The correct understanding of the link between T2D and gynecologic cancer risk and mortality is currently imperative to possibly modify screening and diagnostic-therapeutic protocols in the future.

Fasting Blood Glucose Level in Locally Advanced Non-Small Cell Lung Cancer: a New Prognostic Factor?

Hyperglycemia may lead to proliferation, invasion, apoptosis inhibition, migration, and eventually metastasis of cancer cells by several mechanisms. In this study, the effect of hyperglycemia on overall survival (OS), disease-free survival (DFS), and locoregional recurrence (LRR) was investigated in NSCLC. One stage IIIA-IIIB NSCLC patient treated with chemoradiotherapy between 2010 and 2015 was enrolled. Fasting blood glucose (FBG) levels were recorded in pre-treatment, treatment, and post-treatment periods. Median age was 54 years (51-62). Fifty-two patients had squamous cell carcinoma (SCC); 19 had adenocarcinoma. Median follow-up was 19 (11-30), median survival was 19 (13-24), and DFS was 9 (7-11) months. Diabetic patients had shorter survival than non-diabetics 12 (95%CI, 10-14) vs. 25 months (95%CI,18-32), p = 0.005. Number of patients with LRR was also higher in diabetics compared to non-diabetics (8/12 vs. 11/37, p = 0.039). OS was shorter in patients with hyperglycemic-FBG and diabetic-FBG levels in pre-treatment period (log-rank p = 0.03 and 0.023, respectively). Diabetic-FBG level in pre-treatment period was found to be the only independent risk factor for survival. In subgroup analysis, these differences were apparent in SCC (log-rank p = 0.009 for hyperglicemic, log-rank p = 0.017 for diabetic-FBG). LRR was 68% in patients with diabetic-FBG, 36.5% in patients with non-diabetic-FBG in post-treatment period (p = 0.015). Patients with LRR had significantly higher median FBG value in post-treatment period compared to non-relapsing patients, 138 mg/dL (119-228) and 111 mg/dL (99-164), respectively (p = 0.022). The patients with hyperglycemic and diabetic-FBG levels in pre-treatment period had shorter survival compared to normoglycemic ones. The patients with diabetic-FBG level in post-treatment period had higher LRR, and relapsing patients had higher FBG levels in post-treatment period.

The association between diabetes/hyperglycemia and the prognosis of cervical cancer patients: A systematic review and meta-analysis

BACKGROUND

The predictive roles of diabetes in the prognosis of many types of cancer have been well studied, but its role in predicting the prognosis of cervical cancer is still controversial. The aim of the study is to evaluate the association between diabetes/hyperglycemia and the prognosis of cervical cancer.

METHODS

We conducted a systematic review for peer-reviewed studies indexed in PubMed, Embase, Web of Science, and Wanfang published before December 2016. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were pooled in the meta-analysis.

RESULTS

This systematic review identified 13 studies with a total of 11,091 cervical cancer patients, of which 11 studies were included in the meta-analysis. The study indicated that diabetes was related to poorer overall survival (HR = 1.59, 95% CI: 1.35-1.87, P < .001) and poorer recurrence-free survival (HR = 1.98, 95% CI: 1.47-2.66, P < .001) in cervical cancer patients. The meta-analysis of adjusted HRs also indicated that diabetes was independently associated with poor overall survival (HR = 1.69, 95% CI: 1.38-2.05, P < .001) and poor recurrence-free survival (HR = 1.98, 95% CI: 1.47-2.66, P < .001) in cervical cancer patients. Sensitivity analysis and subgroup analyses showed similar results. No significant heterogeneity was observed for the included studies.

CONCLUSIONS

The meta-analysis suggests that diabetes is an important predictive factor for cervical cancer prognosis, and it is linked to poorer survival of cervical cancer patients. Diabetes can serve as a useful index in the prognostic evaluation for patients with cervical cancer.

Impact of Hyperglycemia on Outcomes among Patients Receiving Neoadjuvant Chemotherapy for Bulky Early Stage Cervical Cancer

Background

The impact of hyperglycemia on survival of patients undergoing neoadjuvant chemotherapy (NACT) for bulky early stage cervical cancer (BESCC) has not been explored.

Method

Records of patients who received NACT and radical hysterectomy in our institution between January 2005 and June 2010 were reviewed.

Results

In total, 347 patients were included. The median follow-up time was 37 months (range: 4–65). Patients with hyperglycemia (fasting blood glucose ≥ 100 mg/dl) had shorter recurrence-free survival (RFS) (univariate hazard ratio [HR] = 1.95, 95% confidence interval [CI] [1.16, 3.28], P = 0.010) and cancer-specific survival (CSS) (univariate HR = 2.24, 95% CI [1.33, 3.78], P = 0.002) compared with those with euglycemia (fasting blood glucose <100 mg/dl). In multivariate analysis, positive surgical margins, parametrium invasion, node metastasis, hyperglycemia and complete response to NACT independently predicted recurrence and cancer-specific death. To further validate the prognostic value of hyperglycemia, we conducted a subgroup analysis based on patient baseline characteristics and prognostic effect of hyperglycemia remained significant in all subgroups. On multivariable logistic regression analysis, euglycemia before NACT, squamous cell tumor and pre-treatment squamous cell carcinoma antigen levels < 3.5 ng/ml were identified as independent predictors of complete response after NACT.

Conclusions

FBG ≥100 mg/dl is a negative prognostic predictor for cervical cancer patients receiving NACT for BESCC. Patients with hyperglycemia are less likely to achieve complete response after NACT. Our findings underscore the clinical utility of hyperglycemia screening of for cervical cancer patients.