Patient outcomes from lung cancer and diabetes mellitus: a matched case-control study

Associations between Diabetes Mellitus and Selected Cancers

Cancer is one of the major causes of mortality and is the second leading cause of death. Diabetes mellitus is a serious and growing problem worldwide, and its prevalence continues to grow; it is the 12th leading cause of death. An association between diabetes mellitus and cancer has been suggested for more than 100 years. Diabetes is a common disease diagnosed among patients with cancer, and evidence indicates that approximately 8-18% of patients with cancer have diabetes, with investigations suggesting an association between diabetes and some particular cancers, increasing the risk for developing cancers such as pancreatic, liver, colon, breast, stomach, and a few others. Breast and colorectal cancers have increased from 20% to 30% and there is a 97% increased risk of intrahepatic cholangiocarcinoma or endometrial cancer. On the other hand, a number of cancers and cancer therapies increase the risk of diabetes mellitus. Complications due to diabetes in patients with cancer may influence the choice of cancer therapy. Unfortunately, the mechanisms of the associations between diabetes mellitus and cancer are still unknown. The aim of this review is to summarize the association of diabetes mellitus with selected cancers and update the evidence on the underlying mechanisms of this association.

Lung cancer and type 2 diabetes experience in Dolj County (southwest region of Romania) - a clinical, bioclinical and pathological study

BACKGROUND AND AIM

Type 2 diabetes (T2D) and cancer, the most important public health problems nowadays, and the mechanisms between the presence of diabetes and the development of malignancies remain unclear. The leading cause of cancer death in 2020 is attributed to lung cancer. This study aimed to highlight the impact of the association of these two diseases and the predominant histopathological type of lung cancer in the selected group, glycemic imbalance, and information about the course and outlook for these patients.

PATIENTS, MATERIALS AND METHODS

The authors proposed a case-control 10-year period study, between 2007 and 2017, of two groups of patients diagnosed with T2D and lung cancer who underwent hospitalization at the Clinic of Medical Oncology, Emergency County Hospital, Craiova, Romania.

RESULTS

Our study showed a higher incidence of lung adenocarcinoma in patients diagnosed with T2D. The inflammatory syndrome is more pronounced in the diabetic group, which is supported by correlations between lactate dehydrogenase (LDH), albumin, and hemoglobin levels.

CONCLUSIONS

The duration of cancer treatment in lung cancer and the survival rate is strongly influenced by the presence of diabetes as a concomitant disease.

Cancer, diabetes, survival and glycemic control: a large multisite analysis

Aim

To determine overall survival (OS) and glycemic control in patients with cancer and diabetes.

Materials & methods

Patients of our institution with breast, colon, lung, pancreas and prostate cancer were retrospectively reviewed. OS was compared between matched patients with and without diabetes, and changes in glucose value over time were assessed.

Results

For 3934 patients each with and without diabetes, adjusted analysis showed no difference in OS according to diabetes status (hazard ratio: 1.07; 95% CI: 0.96-1.20). Mean glucose values decreased over time in patients with and without diabetes (p = 0.01).

Conclusion

In this large study of patients with five common cancers, the co-occurrence of diabetes did not affect OS. Cancer did not adversely affect glucose levels.

Survival Risk Analysis of Small Cell Lung Cancer Patients with Pre-Existing Type 2 Diabetes Mellitus: A Single-Center Retrospective Cohort Study

Purpose

We aimed to investigate the clinicopathological characteristics and survival risk factors in small cell lung cancer (SCLC) patients with preexisting type 2 diabetes mellitus (preDM).

Patients and Methods

All patients with SCLC admitted to our hospital between January 2013 and August 2018 were followed up until August 2020 and retrospectively analyzed. Clinical characteristics of SCLC patients with and without preDM were extracted. Cox proportional hazards models were conducted to identify potential independent prognostic factors.

Results

Of 628 eligible individuals, 88 individuals had preDM. preDM was independently significantly associated with distant metastasis in all SCLC patients (p =0.016, OR=1.80, 95% CI 1.11–2.91), while preDM did not affect the outcome of SCLC patients (p=0.803, HR=1.04, 95% CI 0.79–1.36) by multivariate analysis. In the preDM group, the median overall survival (OS) was shorter in the insulin group than in the non insulin group (13.93 months versus 21.77 months, p=0.024). Multivariate analysis identified that insulin treatment was an independent unfavorable factor associated with OS (p =0.009, HR=2.10, 95% CI 1.19–3.64). In addition, poorer performance status (PS) and liver metastasis were also independent unfavorable prognostic factors (all p<0.01), while thoracic therapy significantly improved OS and decreased mortality risk in diabetic patients with SCLC (p<0.05).

Conclusion

preDM may promote distant metastasis of SCLC while it is insulin therapy and not preDM which adversely affects the prognosis of SCLC patients. These findings indicate that enhancing blood glucose control and reducing insulin analog use may be essential to the improvement of the long-term survival of the diabetic population with SCLC.

The Relationship Between Diabetes Mellitus and Cancers and Its Underlying Mechanisms

Epidemiological studies suggest associations between diabetes mellitus and some cancers. The risk of a number of cancers appears to be increased in diabetes mellitus. On the other hand, some cancer and cancer therapies could lead to diabetes mellitus. Genetic factors, obesity, inflammation, oxidative stress, hyperglycemia, hyperinsulinemia, cancer therapies, insulin and some oral hypoglycemic drugs appear to play a role in the crosstalk between diabetes mellitus and cancers. This review summarized the associations between various types of diabetes and cancers and updated available evidence of underlying mechanisms between diabetes and cancers.

Safety, Tolerability, Pharmacokinetics, and Immunogenicity of a Monoclonal Antibody (SCTA01) Targeting SARS-CoV-2 in Healthy Adults: a Randomized, Double-Blind, Placebo-Controlled, Phase I Study

SCTA01 is a novel monoclonal antibody with promising prophylactic and therapeutic potential for COVID-19. This study aimed to evaluate the safety, tolerability, pharmacokinetics (PK) and immunogenicity of SCTA01 in healthy adults. This was a randomized, double-blind, placebo-controlled, dose escalation phase I clinical trial. Healthy adults were randomly assigned to cohort 1 (n = 5; 3:2), cohort 2 (n = 8; 6:2), cohort 3, or cohort 4 (both n = 10; 8:2) to receive SCTA01 (5, 15, 30, and 50 mg/kg, respectively) versus placebo. All participants were followed up for clinical, laboratory, PK, and immunogenicity assessments for 84 days. The primary outcomes were the dose-limiting toxicity (DLT) and maximal tolerable dose (MTD), and the secondary outcomes included PK parameters, immunogenicity, and adverse events (AE). Of the 33 participants, 18 experienced treatment-related AEs; the frequency was 52.0% (13/25) in participants receiving SCTA01 and 62.5% (5/8) in those receiving placebo. All AEs were mild. There was no serious AE or death. No DLT was reported, and the MTD of SCTA01 was not reached. SCTA01 with a dose range of 5 to 50 mg/kg had nearly linear dose-proportional increases in Cmax and AUC parameters. An antidrug antibody response was detected in four (16.0%) participants receiving SCTA01, with low titers, between the baseline and day 28, but all became negative later. In conclusion, SCTA01 up to 50 mg/kg was safe and well-tolerated in healthy participants. Its PK parameters were nearly linear dose-proportional. (This study has been registered at ClinicalTrials.gov under identifier NCT04483375.).

Implications of neuroendocrine tumor and diabetes mellitus on patient outcomes and care: a matched case-control study

Aim:

We aimed to determine the impact of diabetes mellitus (DM) on survival of patients with neuroendocrine tumors (NETs) and of NETs on glycemic control.

Patients & methods:

Patients with newly diagnosed NETs with/without DM were matched 1:1 by age, sex and diagnosis year (2005–2017), and survival compared (Kaplan–Meier and Cox proportional hazards). Mixed models compared hemoglobin A_1c (HbA_1c) and glucose during the year after cancer diagnosis.

Results:

Three-year overall survival was 72% (95% CI: 60–86%) for DM patients versus 80% (95% CI: 70–92%) for non-DM patients (p = 0.82). Hazard ratio was 1.33 (95% CI: 0.56–3.16; p = 0.51); mean DM HbA_1c, 7.3%.

Conclusion:

DM did not adversely affect survival of patients with NET. NET and its treatment did not affect glycemic control.

The aim of this study was to evaluate the effect of diabetes mellitus (DM) on survival of patients with neuroendocrine tumor (NET) and to determine whether NET affected glycemic control. From an institutional cancer registry, 118 patients with NET were identified and grouped by DM (n = 59) or no DM (n = 59). The two groups were matched by age, sex and year of NET diagnosis. DM did not decrease survival, and NET did not significantly affect glycemic control in patients with DM.

Survival and glycemic control in patients with co-existing squamous cell carcinoma and diabetes mellitus

Aim:

This study examined the impact of diabetes mellitus (DM) on survival in squamous cell carcinoma (SCC) patients, and the impact of SCC on glycemic control.

Materials & methods:

Patients with newly diagnosed SCC with and without DM were matched 1:1 (2007–2017). Overall survival and recurrence-free survival were estimated using the Kaplan–Meier method. Hemoglobin A_1c (HbA_1c) and glucose level during the year following cancer diagnosis were compared using mixed models.

Results:

HbA_1c decreased over time in DM patients (p = 0.04). The 5-year overall survival was 61% in DM patients, compared with 78% in patients without DM (p = 0.004).

Conclusion:

The presence of co-existing DM adversely impacted survival in patients with SCC. SCC did not affect glycemic control.

The objective of this study was to identify the effect of diabetes mellitus (DM) on survival of patients with squamous cell carcinoma (SCC) and to determine whether SCC and its treatment affected glycemic control. We used an institutional cancer registry to identify 190 patients with SCC and grouped them by the presence (n = 95) or absence (n = 95) of DM. Patients were matched by age and year of SCC diagnosis. For individuals with SCC, DM did decrease survival rates, and the diagnosis of SCC did not affect glycemic control.

Prolonged progression-free survival and overall survival are associated with diabetes mellitus but inversely associated with levels of blood glucose in patients with lung cancer

BACKGROUND

Previous studies have provided conflicting evidence about the increased overall survival (OS) in lung cancer patients with diabetes mellitus (DM) compared with those without DM. This study assessed progression-free survival (PFS)/OS in lung cancer patients with or without DM and tentatively analyzed the impact of blood glucose levels on PFS/OS in lung cancer patients.

METHODS

Data were collected from lung cancer patients based upon admission records from January 2010 to January 2012 and follow-up records from January 2010 to January 2015 in the Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai. The data included patient sex, age, body mass index (BMI), smoking status, history of DM, level of blood glucose, pathological type, clinical stage of cancer, chemotherapy regimen, and history of anti-DM drugs. The Cox regression model and Kaplan-Meier method were used for the analysis of hazard factors and PFS/OS. For comparison of PFS/OS in lung cancer with or without DM, patients were divided into three groups: lung cancer with DM, lung cancer without DM but with elevated level of blood glucose, lung cancer without DM or elevated level of blood glucose.

RESULTS

In total, the data from 200 lung cancer patients (138 males/62 females, aged 29.0 to 78.0 years, mean 60.0 ± 8.6 years) were collected. For the comparison of PFS/OS in lung cancer patients with or without DM, patients were divided into three groups: lung cancer with DM (n = 31); lung cancer without DM but with elevated levels of blood glucose (n = 40); and lung cancer without both DM and elevated levels of blood glucose (n = 128), whereas 1 patient dropped out of the study. All the patients underwent complete chemotherapy and were followed up for 36.0 to 60.0 months. Kaplan-Meier survival analysis showed that lung cancer patients with DM had increased PFS and OS compared with those without DM (log-rank, P < 0.05, P < 0.01); the median PFS in lung cancer with DM was 12.0 months (95% confidence interval [CI], 4.0-16.0) vs. 6.0 months in those without DM (95% CI, 5.8-6.3); and the median OS in lung cancer patients with DM was 37.0 months (95% CI, 29.0-46.6) vs. 12.0 months in those without DM (95% CI, 10.9-13.1). For the other two groups of patients without DM, there was a trend toward a shorter PFS and OS in patients with elevated blood glucose compared with those without elevated blood glucose. Cox regression showed that PFS in lung cancer patients was favorably associated with the usage of anti-DM drugs, BMI, clinical stage of cancer, and chemotherapy regimen (all P < 0.05) but was inversely associated with the level of blood glucose (P < 0.05).

CONCLUSIONS

Lung cancer patients with DM have prolonged PFS and OS compared with those without DM, and the level of blood glucose was inversely associated with PFS. The current results indicate that PFS may be a meaningful intermediate endpoint for OS and that the levels of blood glucose hopefully represent a prognostic factor in lung cancer patients.

Mortality and glycemic control among patients with diabetes mellitus and uterine or ovarian cancer

Aim:

To evaluate associations between survival and glycemic control in age-matched patients with endometrial or ovarian cancer, with/without diabetes mellitus (DM).

Patients & methods:

Patients with newly diagnosed ovarian or endometrial cancer with and without DM were compared.

Results:

The study included 84 patients with ovarian cancer (28, DM); 96 with endometrial cancer (48 with, 48 without DM). DM patients did not have worse overall or progression-free survival than non-DM patients. Glycemic control was not associated with either cancer.

Conclusion:

There was no association between DM and survival for patients with uterine or ovarian cancer. In addition, there was no association between uterine and ovarian cancer and glycemic control. Additional studies to confirm these observations in larger populations are required.

The aim of this study was to evaluate the effect of diabetes mellitus (DM) on survival of patients with ovarian or uterine cancer and to determine whether ovarian and uterine cancer affected glycemic control. From an institutional cancer registry, patients with ovarian or uterine cancer were identified and grouped by DM or no DM. Groups were matched by age at cancer diagnosis. DM did not decrease survival and ovarian and uterine cancer did not significantly affect glycemic control in patients with DM.

Cell-free nucleic acid patterns in disease prediction and monitoring-hype or hope?

Interest in the use of cell-free nucleic acids (CFNAs) as clinical non-invasive biomarker panels for prediction and prevention of multiple diseases has greatly increased over the last decade. Indeed, circulating CFNAs are attributable to many physiological and pathological processes such as imbalanced stress conditions, physical activities, extensive apoptosis of different origin, systemic hypoxic-ischemic events and tumour progression, amongst others. This article highlights the involvement of circulating CFNAs in local and systemic processes dealing with the question, whether specific patterns of CFNAs in blood, their detection, quantity and quality (such as their methylation status) might be instrumental to predict a disease development/progression and could be further utilised for accompanying diagnostics, targeted prevention, creation of individualised therapy algorithms, therapy monitoring and prognosis. Presented considerations conform with principles of 3P medicine and serve for improving individual outcomes and cost efficacy of medical services provided to the population.

Impact of diabetes mellitus on postoperative outcomes in individuals with non-small-cell lung cancer: A retrospective cohort study

OBJECTIVES

Studies showing that individuals with non-small cell lung cancer (NSCLC) and diabetes mellitus (DM) have reported poor outcomes after pulmonary resection with varying results. Therefore, we investigated the clinical impact of preoperative DM on postoperative morbidity and survival in individuals with resectable NSCLC.

PATIENTS AND METHODS

Data of individuals who underwent pulmonary resection for NSCLC from 2000 to 2015 were extracted from the database of Kyoto University Hospital. The primary endpoint was the incidence of postoperative complications, and secondary endpoints were postoperative length of hospital stay and overall survival. The survival rate was analyzed using the Kaplan-Meier method.

RESULTS

A total of 2,219 patients were eligible for the study. The median age of participants was 67 years. Among them, 39.5% were women, and 259 (11.7%) presented with DM. The effect of DM on the incidence of postoperative complications and postoperative length of hospital stay was not significant. Although the 5-year survival rates were similar in both patients with and without DM (80.2% versus 79.4%; p = 0.158), those with DM who had a hemoglobin A1c level ≥ 8.0% had the worst survival.

CONCLUSIONS

In individuals with resectable NSCLC, preoperative DM does not influence the acute phase postoperative recovery. However, poorly controlled preoperative DM could lead to low postoperative survival rates.

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.

Mortality and glycemic control among patients with acute and chronic myeloid leukemia and diabetes: a case-control study

Aim

We examined the association between diabetes and survival in patients with acute and chronic myeloid leukemia and the association of leukemia with glycemic control.

Patients & methods

Patients with leukemia with and without diabetes (2007-2015) were retrospectively identified and matched 1:1 (n = 70 per group). Overall survival was estimated by the Kaplan-Meier method. Hemoglobin A_1c and glucose levels the year after leukemia diagnosis were compared by mixed models.

Results

Among 25 of 70 patients with diabetes, mean hemoglobin A_1c during the year after leukemia diagnosis was 6.8%. Kaplan-Meier-estimated 3-year survival was 46% for diabetes patients versus 45% for controls (p = 0.79).

Conclusion

No associations were found between leukemia, diabetes, survival and glycemic control.

Assessing the relationship between institutional cancer and diabetes mortality rates using National Death Index data

Aim:

To evaluate overall survival (OS), glycemic control in cancer patients with and without diabetes mellitus (DM).

Patients & methods:

Patients (2010–2015) with newly diagnosed prostate, breast, lung, colorectal and pancreatic cancers were identified in institutional cancer registry. Data linked to National Death Index for vital status. 5-year OS estimated; glucose and hemoglobin A_1c assessed during year postdiagnosis.

Results:

We identified 1404 patients (non-DM, n = 936; DM, n = 468). DM cohort had 168 deaths (36%); non-DM, 267 (29%). 5-year OS estimated at 58% (95% CI: 53–64%) for DM and 67% (95% CI: 64–71%) for controls; for matched pairs, hazard ratio: 1.35 (95% CI: 1.02–1.79). Cancer did not harm glycemic control.

Conclusion:

OS among cancer patients with DM was lower than without DM.

The aim of this study was to assess how diabetes mellitus (DM) and cancer interact to influence overall survival and glycemic control, through use of a national mortality database, the National Death Index. Institutional records of patients with prostate, lung, breast, colorectal and pancreatic cancers were linked to the National Death Index. Analyses showed that DM was associated with lower overall survival, but a diagnosis of cancer did not worsen glycemic control in patients with or without DM.

Influence of Hypertension on the Survival of Non-Small Cell Lung Cancer Patients with Type 2 Diabetes Mellitus

Background

Hypertension and diabetes mellitus (DM) are both the risk factors for cancer. This study aimed to explore the prognostic value of fasting blood glucose (FBG) and hypertension in type 2 DM (T2DM) patients with advanced non-small cell lung cancer (NSCLC) who had received chemotherapy treatment.

Material/Methods

There were 181 advanced NSCLC patients with T2DM between 2010 and 2019 included in this study. Their laboratory and clinical data were retrospectively analyzed. The predictive value of FBG and hypertension was evaluated. The Kaplan-Meier method was used to evaluate progression-free survival (PFS).

Results

The median PFS was 168.0 days (95% CI: 137.9–198.7 days) in patients with FBG ≥7 mmol/L compared to 154.0 days (95% CI: 126.7–181.3 days) for patients with FBG <7 mmol/L (hazard ratio [HR]=1.054; 95% CI: 0.7669–1.452; P=0.7447). Median PFS was longer in non-hypertensive patients than in hypertensive patients [179.0 days (95% CI: 137.3–220.7 days) versus 128.0 days (95% CI: 96.3–159.7 days); P=0.0189]. The existence of hypertension (HR=1.478; 95% CI: 1.063–2.055; P=0.020) was an independent predictor for shorter PFS in the multivariate analysis. Decreased hemoglobin was the major adverse event (over 95% patients). The incidence of all grades of adverse reactions was similar between hypertensive and non-hypertensive patients (all P>0.05) except diarrhea (P=0.020).

Conclusions

Complication of hypertension might confer a poor survival for advanced NSCLC patients with T2DM. Further prospective research is needed to confirm these findings.

Determining the Impact of a Cancer Diagnosis on Diabetes Management: A Systematic Literature Review

OBJECTIVES

Cancer patients with comorbid diabetes have a 50% increased risk of all-cause mortality compared with cancer patients without diabetes. Less attention to diabetes management (glucose control, medication adherence, and diabetes self-management behaviors) during active cancer treatment is hypothesized as an explanation for worse outcomes among diabetic cancer patients. The objective of this systematic review is to determine and quantify how a cancer diagnosis impacts diabetes management.

METHODS

Quantitative and qualitative studies evaluating diabetes management among patients were identified by searching 4 databases: MEDLINE, EMBASE, The Cochrane Library, and Web of Science. Two independent reviewers extracted data and summarized results from eligible studies. Study quality was formally assessed.

RESULTS

Thirty-six studies met all inclusion criteria. We observed heterogeneity across studies in terms of study design, sample size, cancer site, type of diabetes management evaluated, and quality. Numerous articles discussed that overall, glucose control, medication adherence, and diabetes self-management behaviors declined following a cancer diagnosis. However, findings were inconsistent across studies.

CONCLUSIONS

Although the effects of a cancer diagnosis on diabetes management are mixed, when results across studies were synthesized together, diabetes management appeared to generally decline after a cancer diagnosis. Declines in diabetes management seem to be primarily due to shifts in the priority of care from diabetes management to cancer. A next critical step in this line of work is to identify patient and provider level predictors of better or worse diabetes management to design and test interventions aimed at improving effective diabetes management for cancer patients.

A Cohort Study of Exposure to Antihyperglycemic Therapy and Survival in Patients with Lung Cancer

We evaluated the effect of antihyperglycemic therapy on the survival of patients with lung cancer (LC). The analysis included patients with LC and concomitant type 2 diabetes. 15,929 patients were classified into five groups: metformin users, insulin users, metformin and insulin users, sulphonylurea users and non-diabetic group. A multivariate analysis showed that exposure to either metformin or to insulin was associated with a lower risk of LC-specific mortality, and this approached statistical significance (HR 0.82, 95% CI 0.72–92 for metformin and HR 0.65, 95% CI 0.44–95 for insulin). When deaths from all causes were considered, only metformin exposure was associated with a significantly lower risk of death (HR 0.82, 95% CI 0.73–0.92). Users of sulphonylurea were at a higher risk of LC-specific and overall mortality (HRs 1.19, 95% CI 0.99–1.43 and 1.22, 95% CI 1.03–1.45). Our study shows a positive effect of metformin on the survival of patients with LC. Moreover, our results show that exposure to insulin was associated with a lower risk of LC-specific mortality, but not with deaths from all causes. The study results suggested that users of sulphonylurea may be at a higher risk of LC-specific and overall mortality.

Diabetes and cancer: A comprehensive review

Diabetes mellitus (DM) is a common worldwide endocrine disorder characterized by hyperglycemia resulting from defects in insulin secretion and insulin action or both. A number of clinical studies have investigated diabetes and its causal relation with neoplasm. Several epidemiological studies have found that diabetic patients have an increased risk of different types of cancers, for example liver, pancreas, gastric (stomach), colorectum, kidney, and breast, and it is predicted that hyperglycemic state observed in diabetic milieu enhances the cancer risk in prediabetic and diabetic individuals. To explore the strength of evidence and biases in the claimed associations between type 2 DM (T2DM) and risk of developing cancer, an umbrella review of the evidence across published meta-analyses or systematic reviews is performed. The concurrence of T2DM with the growing burden of cancer globally has generated interest in defining the epidemiological and biological relationships between these medical conditions. Through this review, it was found that diabetes could be related to cancer. Yet, the results from most of the studies are obscure and conflicting and need a robust research so that the link between diabetes and cancer could be firmly and impeccably documented.

Diabetic lung disease: fact or fiction?

Diabetes mellitus is a chronic, progressive, incompletely understood metabolic disorder whose prevalence has been increasing steadily worldwide. Even though little attention has been paid to lung disorders in the context of diabetes, its prevalence has recently been challenged by newer studies of disease development. In this review, we summarize and discuss the role of diabetes mellitus involved in the progression of pulmonary diseases, with the main focus on pulmonary fibrosis, which represents a chronic and progressive disease with high mortality and limited therapeutic options.

Glycemic control and survival of patients with coexisting diabetes mellitus and gastric or esophageal cancer

AIM

To examine effects of diabetes mellitus (DM) on survival in gastric or esophageal (GE) cancer and the cancers' effects on glycemic control.

MATERIALS & METHODS

Patients with GE cancer with and without DM were matched 1 to 1 (2006-2016). Characteristics were compared and survival assessed with Kaplan-Meier method and Cox regression. Mixed models compared hemoglobin A_1c and glucose over time.

RESULTS

Among DM cases, mean hemoglobin A_1c was 6.8% in the year after cancer diagnosis. Three-year overall survival was 46% with DM versus 52% without DM (hazard ratio [95% CI]: 1.95 [1.14-3.34]; p = 0.02).

CONCLUSION

GE cancer and its treatment did not affect glycemic control. Risks of death and progression were greater for patients with DM than patients without DM.

Survival and glycemic control in patients with coexisting melanoma and diabetes mellitus

Aim:

Given the lack of data in the literature, we examined the impact of diabetes mellitus (DM) on melanoma survival and the impact of melanoma on glycemic control.

Materials & methods:

Patients with melanoma with and without DM were matched 1:1 (2005–2016). Kaplan–Meier analysis was used to estimate overall survival and progression-free survival (PFS). Mixed models compared hemoglobin A_1c (HbA_1c) and glucose measures over time.

Results:

Mean HbA_1c during the year after cancer diagnosis was 6.7%. The 5-year PFS rate was 89% (95% CI: 81–99%) for patients with DM and 63% (95% CI: 51–79%) for patients without DM (p = 0.02).

Conclusion:

Melanoma did not adversely impact glycemic control. The DM did not adversely impact survival of patients with melanoma, although increased PFS for melanoma was seen in individuals with DM.

The objective of this study was to identify the effect of diabetes mellitus (DM) on survival of patients with melanoma and to determine whether melanoma and its treatment affected glycemic control. We used an institutional cancer registry to identify 112 patients with melanoma and grouped them by the presence (n = 56) or absence (n = 56) of DM. Patients were matched by age and year of melanoma diagnosis. For individuals with melanoma, DM did not decrease survival rates, and the diagnosis of melanoma did not affect glycemic control.

Diabetes and Lung Disease: A Neglected Relationship

BACKGROUND

Diabetes mellitus is a systemic disorder associated with inflammation and oxidative stress which may target many organs such as the kidney, retina, and the vascular system. The pathophysiology, mechanisms, and consequences of diabetes on these organs have been studied widely. However, no work has been done on the concept of the lung as a target organ for diabetes and its implications for lung diseases.

AIM

In this review, we aimed to investigate the effects of diabetes and hypoglycemic agent on lung diseases, including asthma, chronic obstructive pulmonary disease (COPD), idiopathic pulmonary fibrosis, pulmonary hypertension, and lung cancer. We also reviewed the potential mechanisms by which these effects may affect lung disease patients.

RESULTS

Our results suggest that diabetes can affect the severity and clinical course of several lung diseases.

CONCLUSIONS

Although the diabetes-lung association is epidemiologically and clinically well-established, especially in asthma, the underlying mechanism and pathophysiology are not been fully understood. Several mechanisms have been suggested, mainly associated with the pro-inflammatory and proliferative properties of diabetes, but also in relation to micro- and macrovascular effects of diabetes on the pulmonary vasculature. Also, hypoglycemic drugs may influence lung diseases in different ways. For example, metformin was considered a potential therapeutic agent in lung diseases, while insulin was shown to exacerbate lung diseases; this suggests that their effects extend beyond their hypoglycemic properties.

Survival and glycemic control in patients with colorectal cancer and diabetes mellitus

Aim:

The impact of diabetes mellitus (DM) on survival in patients with colorectal cancer and the impact of colorectal cancer on glycemic control were examined.

Materials & methods:

Patients with colorectal cancer with and without DM were matched 1:1 (2007–2015). Characteristics were compared between the two groups and survival assessed with the Kaplan–Meier method. Mixed models compared hemoglobin A_1c and glucose levels over time.

Results:

In both groups, glucose values decreased during the year following cancer diagnosis (p < 0.001). 5-year overall survival was 56% (95% CI: 42–68%) for DM patients versus 57% (95% CI: 43–69%) for non-DM patients (p = 0.62).

Conclusion:

DM did not adversely impact survival of patients with colorectal cancer. Colorectal cancer did not affect glycemic control.

The aim of this study was to evaluate the effect of diabetes mellitus (DM) on survival of patients with colorectal cancer and to determine whether colorectal cancer affected glycemic control. From an institutional cancer registry, 170 patients with colorectal cancer were identified and grouped by the presence (n = 85) or absence of DM (n = 85). The groups were matched by age and year of colorectal cancer diagnosis. DM did not decrease the survival and colorectal cancer did not significantly affect glucose levels of patients with DM.

Survival and glycemic control outcomes among patients with coexisting pancreatic cancer and diabetes mellitus

Aim:

We aimed to determine the effect of diabetes mellitus (DM) on survival in pancreatic cancer and effects of pancreatic cancer on glycemic control in DM.

Materials & methods:

Patients with pancreatic cancer from 2007 to 2015, with and without DM, were matched 1:1. We compared characteristics between the groups and assessed 2-year survival with Kaplan–Meier analysis.

Results:

In patients with DM, hemoglobin A_1c decreased significantly over time (p = 0.01). In survival analysis, 2-year overall survival estimates were 15% (95% CI: 8–24%) for DM patients versus 26% (95% CI: 17–36%) for non-DM patients (p = 0.55). The hazard ratio for matched pairs was 1.15 (95% CI: 0.75–1.77; p = 0.51).

Conclusion:

DM did not decrease survival in pancreatic cancer. Pancreatic cancer did not affect glycemic control.

The objective of this study was to identify the effect of diabetes mellitus (DM) on survival of patients with pancreatic cancer and to determine whether pancreatic cancer and its treatment affect glycemic control. From an institutional cancer registry, 226 patients with pancreatic cancer were identified and grouped by the presence of DM (n = 113) or absence of DM (n = 113). The groups were matched by age and year of pancreatic cancer diagnosis. Results indicated that DM does not decrease survival and that pancreatic cancer and its treatment do not affect the control of DM.