The Clinical Relevance of Beta Blockers in Ovarian Carcinoma: A Systematic Review

Impact of metformin, statins, and beta blockers on survival in patients with primary ovarian cancer: combined analysis of four prospective trials of AGO-OVAR and ENGOT/GCIG collaborators

OBJECTIVE

The aim of this study was to investigate the association of co-medication with metformin, a statin, or beta blocker with survival in patients with primary ovarian cancer.

METHODS

Individual data from three phase III, randomized controlled trials (AGO-OVAR 11, AGO-OVAR 12, and AGO-OVAR 16) and one phase II trial (AGO-OVAR 15) were pooled and analyzed. Patients were classified as ever user if the specific co-medication was documented at least once during the trial, and were compared with never users as controls. Association of co-medications and outcomes were adjusted for potential confounders (age, International Federation of Gynecology and Obstetrics stage, histology, residual disease after surgery, Eastern Cooperative Oncology Group (ECOG) performance status, body mass index, Charlson Comorbidity Index, and assigned treatment within the trial) in multivariate Cox regression analyses.

RESULTS

Overall, n=2857 patients were included. Ever users were: 100 patients received metformin (3.5%), 226 patients received statins (7.9%), and 475 (16.6%) patients received beta blockers (n=391 selective beta blockers; 84 non-selective beta blockers) as co-medication. There were no significant differences regarding the baseline characteristics except that ever users were significantly older, more obese, and had more comorbidities, according to the Charlson Comorbidity Index, compared with controls. Multivariate analyses for progression free survival and overall survival revealed neither a significant impact of metformin on survival (progression free survival hazard ratio (HR) 0.94, 95% confidence interval CI 0.69 to 1.29, p=0.7; overall survival HR 0.82, 95% CI 0.58 to 1.17, p=0.28) nor for statins (progression free survival HR 0.98, 95% CI 0.82 to 1.18, p=0.87; overall survival HR 0.91, 95% CI 0.74 to 1.12, p=0.37). In contrast, ever users of selective beta blockers had a significantly higher risk for recurrence and death (progression free survival HR 1.22, 95% CI 1.05 to 1.41, p=0.009; overall survival HR 1.25 95% CI 1.06 to 1.47, p=0.009).

CONCLUSIONS

In this analysis, co-medication with metformin or statins had no significant impact on survival in patients with primary ovarian cancer. In contrast, co-medication with a beta blocker was associated with worse survival. However, whether this observation is related to the underlying condition rather than a direct negative impact on tumor biology remains unclear.

Beta-blocker adjunct therapy as a prospective anti-metastatic with cardio-oncologic regulation

The prevailing treatment stratagem in cancer therapy still challenges the dilemma of a probable metastatic spread following an initial diagnosis. Including an anti-metastatic agent demands a significant focus to overrule the incidence of treatment failures. Adrenergic stimulation underlying the metastatic spread paved the way for beta blockers as a breakthrough in repurposing as an anti-metastatic agent. However, the current treatment approach fails to fully harness the versatile potential of the drug in inhibiting probable metastasis. The beta blockers were seen to show a myriad of grip over the pro-metastatic and prognostic parameters of the patient. Novel interventions in immune therapy, onco-hypertension, surgery-induced stress, induction of apoptosis and angiogenesis inhibition have been used as evidence to interpret our objective of discussing the potential adjuvant role of the drug in the existing anti-cancer regimens. Adding weight to the relative incidence of onco-hypertension as an unavoidable side effect from chemotherapy, the slot for an anti-hypertensive agent is necessitated, and we try to suggest beta-blockers to fill this position. However, pointing out the paucity in the clinical study, we aim to review the current status of beta blockers under this interest to state how the drug should be included as a drug of choice in every patient undergoing cancer treatment.

Use of "Repurposed" Drugs in the Treatment of Epithelial Ovarian Cancer: A Systematic Review

Epithelial ovarian cancer has poor outcomes with standard therapy and limited options for treatment of recurrent disease. This systematic review summarizes the data on the clinical use of repurposed drugs. We searched for clinical studies using "repurposed" agents for the treatment of ovarian cancer in the following databases: PubMed, clinicaltrials.gov, Clinical Trial Registry of India, European Clinical Trials Registry, and Chinese Clinical Trial Registry. We excluded reviews, preclinical studies, and non-English language studies. We assessed the quality of included studies. The following agents/class of agents were included: statins, hydroxychloroquine, metformin, itraconazole, nonsteroidal anti-inflammatory drugs, vitamin D, proton pump inhibitors, beta-blockers, and sodium valproate. Only one randomized controlled trial investigated metformin, which found no benefit of metformin. However, this had a high risk of bias (no details of randomization). Among the observational studies, 70% were of high quality (Newcastle-Ottawa scale ≥7). Clinical benefit was seen for itraconazole, beta-blockers, metformin, statins, and proton pump inhibitors. Though multiple studies aim to repurpose agents in epithelial ovarian cancer, the most published literature is observational, and none are practice-changing. Given the solid preclinical data regarding the anticancer efficacy of these agents, well-designed clinical trials are urgently required.

Discovery of metabolomic biomarkers for discriminating platinum-sensitive and platinum-resistant ovarian cancer by using GC-MS

This study aims to determine ovarian cancer (OC) patients with platinum resistance for alternative treatment protocols by using metabolomic methodologies. Urine and serum samples of platinum-resistant and platinum-sensitive OC were analyzed using GC-MS. After data processing of GC-MS raw data, multivariate analyses were performed to interpret complex data for biologically meaningful information and to identify the biomarkers that cause differences between two groups. The biomarkers were verified after univariate, multivariate, and ROC analysis. Finally, metabolomic pathways related to group separations were specified. The results of biomarker analysis showed that 3,4-dihydroxyphenylacetic acid, 4-hydroxybutyric acid, L-threonine, D- mannose, and sorbitol metabolites were potential biomarkers in urine samples. In serum samples, L-arginine, linoleic acid, L-glutamine, and hypoxanthine were identified as important biomarkers. R2Y, Q2, AUC, sensitivity and specificity values of platinum-resistant and sensitive OC patients' urine and serum samples were 0.85, 0.545, 0.844, 91.30%, 81.08 and 0.570, 0.206, 0.743, 77.78%, 74.28%, respectively. In metabolic pathway analysis of urine samples, tyrosine metabolism and fructose and mannose metabolism were found to be statistically significant (p < 0.05) for the discrimination of the two groups. While 3,4-dihydroxyphenylacetic acid, L-tyrosine, and fumaric acid metabolites were effective in tyrosine metabolism. D-sorbitol and D-mannose metabolites were significantly important in fructose and mannose metabolism. However, seven metabolomic pathways were significant (p < 0.05) in serum samples. In terms of p-value, L-glutamine in the nitrogen metabolic pathway from the first three pathways; L-glutamine and pyroglutamic acid metabolites in D-glutamine and D-glutamate metabolism. In the arginine and proline metabolic pathway, L-arginine, L-proline, and L-ornithine metabolites differed significantly between the two groups.

Stress Hormones: Emerging Targets in Gynecological Cancers

In the past decade, several discoveries have documented the existence of innervation in ovarian cancer and cervical cancer. Notably, various neurotransmitters released by the activation of the sympathetic nervous system can promote the proliferation and metastasis of tumor cells and regulate immune cells in the tumor microenvironment. Therefore, a better understanding of the mechanisms involving neurotransmitters in the occurrence and development of gynecological cancers will be beneficial for exploring the feasibility of using inexpensive β-blockers and dopamine agonists in the clinical treatment of gynecological cancers. Additionally, this article provides some new insights into targeting tumor innervation and neurotransmitters in the tumor microenvironment.

Cardiometabolic comorbidities and epithelial ovarian cancer risk among African-American women in the African-American Cancer Epidemiology Study (AACES)

BACKGROUND

Studies that have examined the association between cardiovascular comorbidities and epithelial ovarian cancer (EOC) have yielded inconsistent results. It remains unknown whether cardiometabolic disease is associated with EOC in African American (AA) women, who have a higher prevalence of cardiovascular disease and lower risk of EOC than White women. Here, we estimate the effect of cardiovascular comorbid conditions and EOC risk among AA women.

METHODS

Data were available from 593 ovarian carcinoma patients and 752 controls enrolled in the African American Cancer Epidemiology Study (AACES). Participants were asked to self-report a history of hypertension, hyperlipidemia, and diabetes and any current medication use. The relationship between hypertension, hyperlipidemia, diabetes, and medications taken for these conditions was determined using multivariate logistic regression.

RESULTS

Hypertension was associated with an increased risk (adjusted odds ratio (aOR) = 1.32, 95% confidence interval (CI) = 1.01, 1.73), whereas diabetes and hyperlipidemia were associated with a decreased risk (aOR = 0.67, 95% CI = 0.49, 0.91 and aOR = 0.61, 95% CI = 0.47, 0.80, respectively) of EOC. Use of anti-diabetic medication was inversely associated with EOC risk, as was use of lipid lowering medications (in the overall study population), which were predominantly statins. Among women with hypertension, use of anti-hypertensive medications was inversely associated with EOC risk, with associations that were most pronounced for diuretics, ARBs and ACE inhibitors.

CONCLUSION

Hypertension was associated with an increased EOC risk in this patient population, whereas an inverse association was observed for diabetes and hyperlipidemia. The decreased risk of EOC identified with use of anti-hypertensive, anti-diabetes or lipid-lowering medications could have implications for risk reduction strategies.

Impact of beta blockers on survival outcomes in ovarian cancer: a nationwide population-based cohort study

Objective

The impact of beta blockers (BBs) on survival outcomes in ovarian cancer was investigated.

Methods

By using Korean National Health Insurance Service Data, Cox proportional hazards regression was performed to analyze hazard ratios (HRs) with 95% confidence intervals (CIs) adjusting for confounding factors.

Results

Among 866 eligible patients, 206 (23.8%) were BB users and 660 (76.2%) were non-users. Among the 206 BB users, 151 (73.3%) were non-selective beta blocker (NSBB) users and 105 (51.0%) were selective beta blocker (SBB) users. BB use in patients aged ≥60 years, longer duration use (≥1 year), in patients with Charlson Comorbidity Index (CCI) ≥3, and in cardiovascular disease including hypertension was associated with better survival outcome. These findings were observed in both NSBB and SBB. When duration of medication was analyzed based on number of days, NSBB (≥180 days) was associated with improved overall survival (OS) with a relatively shorter period of use compared to SBB (≥720 days). In multivariate Cox proportional hazards model, longer duration of BB medication (≥1 year) was an independent favorable prognostic factor for both OS and disease-specific survival in ovarian cancer patients.

Conclusion

In our nationwide population-based cohort study, BB use was associated with better survival outcomes in ovarian cancer in cases of long term duration of use, in older patients, and in cardiovascular and/or other underlying disease (CCI ≥3).

Post-diagnosis use of antihypertensive medications and the risk of death from ovarian cancer

OBJECTIVE

To examine associations between post-diagnosis use of antihypertensive (AH) medications including thiazide diuretics (TDs), angiotensin converting enzyme inhibitors (ACEIs), beta blockers (BBs) [both non-selective (NSBBs) and selective (SBBs)] and calcium channel blockers (CCBs) and ovarian cancer-specific survival.

METHODS

This cohort study used SEER-Medicare data on 2195 women 66+ years of age who were diagnosed with ovarian cancer during 2007-2012 and who survived for at least 12 months. Use of an AH class was defined as two or more fills during the year after diagnosis. Ovarian cancer-specific death was assessed starting one year after diagnosis and continued through the end of 2013. Associations between AH use and ovarian cancer-specific mortality were assessed using Cox proportional hazard models, comparing users of a given class of AH to non-AH users.

RESULTS

Overall, 718 (33%), 690 (31%), 521 (24%), 154 (7%) of women used a TD, ACEI, BB, or CCB, respectively, with some women (48%) using more than one class of drug. Ovarian cancer-specific mortality was found to be lower among women who used an ACEI (adjusted hazard ratio [aHR] 0.76, 95% confidence interval [CI] 0.63-0.92), a TD (aHR 0.82, 95%CI 0.68-0.99), or a NSBB (aHR 0.60, 95%CI 0.43-0.83), but no such association was seen in women who took a SBB or CCB.

CONCLUSION

We observed that women who took certain forms of an AH medication during the year following a diagnosis of ovarian cancer were thereafter at a relatively reduced risk of dying from their disease. However, the potential for residual confounding by disease severity argues for a cautious interpretation.