Risk of prostate cancer-specific death in men with baseline metabolic aberrations treated with androgen deprivation therapy for biochemical recurrence

Association of Obesity With Survival Outcomes in Patients With Cancer: A Systematic Review and Meta-analysis

Importance

Obesity, defined as a body mass index (BMI) greater than 30, is associated with a significant increase in the risk of many cancers and in overall mortality. However, various studies have suggested that patients with cancer and no obesity (ie, BMI 20-25) have worse outcomes than patients with obesity.

Objective

To assess the association between obesity and outcomes after a diagnosis of cancer.

Data Sources

PubMed, the Cochrane Library, and EMBASE were searched from inception to January 2020.

Study Selection

Studies reporting prognosis of patients with obesity using standard BMI categories and cancer were included. Studies that used nonstandard BMI categories, that were limited to children, or that were limited to patients with hematological malignant neoplasms were excluded. Screening was performed independently by multiple reviewers. Among 1892 retrieved studies, 203 (17%) met inclusion criteria for initial evaluation.

Data Extraction and Synthesis

The Meta-analysis of Observational Studies in Epidemiology (MOOSE) and Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines were reporting guideline was followed. Data were extracted by multiple independent reviewers. Risk of death, cancer-specific mortality, and recurrence were pooled to provide an adjusted hazard ratio (HR) with a 95% CI . A random-effects model was used for the retrospective nature of studies.

Main Outcomes and Measures

The primary outcome of the study was overall survival (OS) in patients with cancer, with and without obesity. Secondary end points were cancer-specific survival (CSS) and progression-free survival (PFS) or disease-free survival (DFS). The risk of events was reported as HRs with 95% CIs, with an HR greater than 1 associated with a worse outcome among patients with obesity vs those without.

Results

A total of 203 studies with 6 320 365 participants evaluated the association of OS, CSS, and/or PFS or DFS with obesity in patients with cancer. Overall, obesity was associated with a reduced OS (HR, 1.14; 95% CI, 1.09-1.19; P < .001) and CSS (HR, 1.17; 95% CI, 1.12-1.23; P < .001). Patients were also at increased risk of recurrence (HR, 1.13; 95% CI, 1.07-1.19; P < .001). Conversely, patients with obesity and lung cancer, renal cell carcinoma, or melanoma had better survival outcomes compared with patients without obesity and the same cancer (lung: HR, 0.86; 95% CI, 0.76-0.98; P = .02; renal cell: HR, 0.74; 95% CI, 0.53-0.89; P = .02; melanoma: HR, 0.74; 95% CI, 0.57-0.96; P < .001).

Conclusions and Relevance

In this study, obesity was associated with greater mortality overall in patients with cancer. However, patients with obesity and lung cancer, renal cell carcinoma, and melanoma had a lower risk of death than patients with the same cancers without obesity. Weight-reducing strategies may represent effective measures for reducing mortality in these patients.

Serum glucose, triglycerides, and cholesterol in relation to prostate cancer death in the Swedish AMORIS study

PURPOSE

Lifestyle-related conditions such as obesity are associated with prostate cancer progression, but the associations with hyperglycemia and dyslipidemia are unclear. This study, therefore, aims to examine the association of glucose, triglycerides, and total cholesterol with prostate cancer death.

METHODS

From the Swedish AMORIS cohort, we selected 14,150 men diagnosed with prostate cancer between 1996 and 2011 who had prediagnostic measurements of serum glucose, triglycerides, and total cholesterol. Multivariable Cox proportional hazards regression models were used to determine the hazard ratios for death in relation to the aforementioned metabolic markers.

RESULTS

Using clinical cut-off points, a non-significant positive association was observed between glucose and prostate cancer death. When compared to those with glucose in the lowest quartile, those in the highest quartile had greater risk of prostate cancer death (HR 1.19; 95% CI 1.02-1.39). However, neither total cholesterol nor triglycerides were associated with prostate cancer death. Glucose and triglycerides were positively associated with overall, cardiovascular, and other deaths. Hypercholesterolemia was only associated with risk of CVD death.

CONCLUSION

Our results suggest that glucose levels may influence prostate cancer survival, but further studies using repeated measurements are needed to further elucidate how glucose levels may influence prostate cancer progression.

The role of metabolic syndrome variant in the malignant tumors progression

Metabolic syndrome (MS) is one of the leading risk factors for the development of some common cancers (endometrial cancer, postmenopausal breast cancer, colorectal cancer). Currently, a drug-induced metabolic syndrome related with androgen deprivation therapy in patients with prostate cancer represents a serious medical problem. Not only MS, or its individual components, but MS variants with different levels of leptin, adiponectin, visfatin, resistin are associated with tumor invasion, metastasis and survival rates in patients with MS-associated malignancies.

Obesity and prostate cancer

PURPOSE OF REVIEW

To investigate the association between obesity and prostate cancer (PCa).

RECENT FINDINGS

Obesity has been proposed to be involved in the pathogenesis of PCa through different biological mechanisms that include deregulation of the insulin axis, sex hormone secretion, adipokines signaling, and oxidative stress. Hypertrophic peritumoral adipocytes may also facilitate the local spread of PCa through the chemo-attraction of tumor cells. Clinical studies demonstrate that obesity might have clinical implications also in disease detection and management. Obese men have been shown to be less likely to be diagnosed with early-stage disease. Moreover, they are at increased risk of experiencing upgrading and upstaging when managed with active surveillance. However, the association between obesity and the risk of PCa recurrence and mortality after radical treatment is still debated.

SUMMARY

Obesity may facilitate the development and progression of PCa trough different biologic mechanisms that may pose obese men at higher risk of advanced and high-grade disease. However, the association between obesity and long-term oncologic outcome after radical treatments appears unclear.

Association among metabolic syndrome, inflammation, and survival in prostate cancer

BACKGROUND

Metabolic syndrome (MS) and inflammation (INF) alterations are among the factors involved in cancer progression. The study aimed to assess the relationship between MS and INF and its effect on progression-free/overall survival (PFS/OS) in metastatic castration-resistant prostate cancer (mCRPC) treaed with abiraterone or enzalutamide.

METHODS

We, retrospectively, evaluated patients with mCRPC in 7 Italian Institutes between March 2011 and October 2016. MS was defined by modified adult treatment panel-III criteria. INF was characterized by at least one of these criteria: neutrophil to lymphocyte ratio ≥ 3, elevated erythrocyte sedimentation rate or C-reactive protein.

RESULTS

Eighty-three of 551 (15.1%) patients met MS criteria at baseline and 34 (6.2%) during treatment. MS patients (MS+) presented a greater INF profile compared to MS- (P<0.0001). Median PFS was 3.7 for MS+ vs. 8.7 months for MS- (hazard ratio [HR] = 2.77; 95% CI: 2.12-3.61; P<0.0001). Median OS was 6.9 and 19 months in MS+ and MS-, respectively (HR = 3.43; 95% CI: 2.56-4.58; P<0.0001). We also demonstrated INF led to shorter PFS and OS (4.5 vs. 8.5 months, HR = 1.48, 95% CI: 1.15-1.90, P = 0.002, and 11.2 vs. 18.8 months, HR =1.66, 95% CI: 1.26-2.18, P = 0.0003, respectively). The combination of MS with INF provided the identification of high-risk prognostic group (MS+/INF+ vs. MS-/INF-) with worse PFS (3.7 vs. 9 months, HR = 2.7, 95% CI: 1.88-3.89, P<0.0001) and OS (6.3 vs. 20.4 months, HR = 4.04, 95% CI: 2.75-5.93, P<0.0001). Multivariable analysis confirmed that MS was independently associated with PFS (HR = 2.07; 95% CI: 1.03-4.18; P = 0.041) and OS (HR = 4.87; 95% CI: 2.36-10.03; P<0.0001). The absence of INF as an independent predictor of survival underlined the correlation between MS/INF.

CONCLUSIONS

Pretreatment identification of MS and INF alterations might represent an available and easy tool for better prognostication of patients with mCRPC. A prospective evaluation is warranted.

A systematic review of the literature exploring the interplay between prostate cancer and type two diabetes mellitus

Prostate cancer (PCa) and type two diabetes mellitus (T2DM) are both increasing prevalent conditions and often occur concurrently. However, the relationship between the two is more complex than just two prevalent conditions co-existing. This review systematically explores the literature around the interplay between the two conditions. It covers the impact of pre-existing T2DM on PCa incidence, grade and stage, as well as exploring the impact of T2DM on PCa outcomes and mortality and the interaction between T2DM and PCa treatments.

Drugs for metabolic conditions and prostate cancer death in men on GnRH agonists

OBJECTIVE

To evaluate whether drugs for metabolic conditions influence prostate cancer-specific mortality in men starting gonadotrophin-releasing hormone (GnRH) agonists, as it is unclear whether metabolic syndrome and its related drugs is affecting treatment response in men with prostate cancer on GnRH agonists.

PATIENTS AND METHODS

We selected all men receiving GnRH agonists as primary treatment in the Prostate Cancer data Base Sweden (PCBaSe) (n = 9267). Use of drugs for metabolic conditions (i.e. anti-diabetes, anti-dyslipidaemia, and antihypertension) in relation to all-cause, cardiovascular disease (CVD), and prostate cancer-specific death were studied using multivariate Cox proportional hazard and Fine and Gray competing regression models.

RESULTS

In all, 6322 (68%) men used at least one drug for a metabolic condition at GnRH agonist initiation: 46% on antihypertensive drugs only, 32% on drugs for dyslipidaemia and hypertension, and ~10% on drugs for more than two metabolic conditions. Cox models indicated a weak increased risk of prostate cancer death in men who were on drugs for hypertension only (hazard ratio [HR] 1.12, 95% confidence interval [CI] 1.03-1.23) or drugs for hyperglycaemia (HR 1.19, 95% CI 1.06-1.35) at GnRH agonist initiation. However, upon taking into account competing risk from CVD death, none of the drugs for metabolic conditions were associated with an increased risk of prostate cancer death.

CONCLUSION

We did not find evidence for a better or worse response to GnRH agonists in men with prostate cancer who were also on drugs for hypertension, dyslipidaemia, or hyperglycaemia.