Antihypertensive medications and risks of recurrence and mortality in luminal, triple-negative, and HER2-overexpressing breast cancer

Impact of ACEI/ARB use on the survival of hypertensive patients with cancer: A meta‑analysis

Angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) are commonly used antihypertensive drugs. However, the impact that the use of ACEI and ARB drugs will have on the survival of patients with hypertension and cancer is still unclear. Therefore, the present study aimed to investigate the effects of ACEI and ARB use on the survival of patients with cancer. The Embase, PubMed and Web of Science databases were used to systematically analyze the survival of hypertensive patients with cancer treated with ACEIs or ARBs. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to evaluate the association between ACEI and ARB use and patient survival. The relationship between the survival of patients with certain types of cancer and ACEI and ARB use was evaluated using the calculated HRs. Patients with ovarian, pancreatic, prostate, hepatocellular, lung, esophageal, gastric, colon, nasopharyngeal, head and neck tumors, gallbladder and rectal cancers that used ACEI and ARB analogs had significantly increased survival times, except for patients with breast cancer (HR, 1.04; 95% CI, 0.90-1.19; P<0.01) and uroepithelial carcinoma (HR, 1.15; 95% CI, 0.69-1.94; P<0.01), who had significantly decreased survival times, when compared with patients who did not use these drugs. Analysis of the relationship between the use of ACEIs or ARBs alone or in combination on the overall survival of hypertensive patients with cancer demonstrated that the use of ACEIs alone (HR, 1.00; 95% CI, 0.93-1.08; P<0.01) did not have a significant effect on the survival of these patients. By contrast, the survival time was increased in hypertensive patients with cancer who used either ARBs alone (HR, 0.89; 95% CI, 0.84-0.94; P<0.01) or a combination of ACEIs and ARBs (HR, 0.84; 95% CI, 0.78-0.91; P<0.01). The present meta-analysis demonstrated the potential effects of ACEI and ARB use on the overall survival of patients with cancer. Therefore, investigation of the underlying mechanisms of action of ACEIs and ARBs, as well as the identification of specific groups of patients who may benefit from these interventions, could potentially lead to novel therapeutic options and improve the prognosis of patients with cancer in the future.

Beta-blocker use and breast cancer outcomes: a meta-analysis

PURPOSE

Beta blockers (BBs) are commonly used cardiovascular medications, and their association with breast cancer outcomes has been examined in several previous observational studies and meta-analyses. In this study, an updated meta-analysis was undertaken to ascertain the association between BBs and both breast cancer death (BCD) and breast cancer recurrence (BCR).

METHODS

Articles were sourced from various databases up until the 14th of August 2023. Effect estimates were pooled using the random effects model, and the Higgins I2 statistic was computed to ascertain heterogeneity. Subgroup analyses were conducted by the potential for immortal time bias (ITB), the exposure period (prediagnosis vs postdiagnosis), and type of BB (selective vs non-selective). Publication bias was assessed using funnel plots and Egger's regression tests.

RESULTS

Twenty-four studies were included. Pooled results showed that there was no statistically significant association between BB use and both BCD (19 studies, hazard ratio = 0.90, 95% CI 0.78-1.04) and BCR (16 studies, HR = 0.87, 95% CI 0.71-1.08). After removing studies with ITB, the associations were attenuated towards the null. There was no effect modification for either outcome when stratifying by the exposure period or type of BB. There was clear evidence of publication bias for both outcomes.

CONCLUSION

In this meta-analysis, we found no evidence of an association between BB use and both BCD and BCR. Removing studies with ITB attenuated the associations towards the null, but there was no effect modification by the exposure period or type of BB.

Alcohol, Smoking, and Risks of Breast Cancer Recurrence and Mortality among Women with Luminal, Triple-Negative, and HER2-Overexpressing Breast Cancer

BACKGROUND

This study evaluates the relationship between smoking, alcohol, and breast cancer outcomes according to molecular subtype.

METHODS

This population-based prospective cohort consisted of 3,876 women ages 20 to 69 diagnosed with a first primary invasive breast cancer from 2004 to 2015 in the Seattle-Puget Sound region. Breast cancer was categorized into three subtypes based on estrogen receptor (ER), progesterone receptor (PR), and HER2 expressions: luminal (ER+), triple-negative (TN; ER-/PR-/HER2-), and HER2-overexpressing (H2E; ER-/HER2+). We fit Cox proportional hazards models to assess the association between alcohol consumption and smoking status at diagnosis and risks of recurrence, breast cancer-specific mortality, and all-cause mortality.

RESULTS

Histories of ever smoking [HR, 1.33; 95% confidence interval (CI), 1.01-1.74] and current smoking (HR, 1.59; 95% CI, 1.07-2.35) were associated with greater risk of breast cancer recurrence among TN cases. Smoking was also associated with greater risk of recurrence to bone among all cases and among luminal cases. Elevated risks of breast cancer-specific and all-cause mortality were observed among current smokers across all subtypes. Alcohol use was not positively associated with risk of recurrence or mortality overall; however, TN patients who drank four or more drinks per week had a decreased risk of recurrence (HR, 0.71; 95% CI, 0.51-0.98) and breast cancer-specific mortality (HR, 0.73; 95% CI, 0.55-0.97) compared with non-current drinkers.

CONCLUSIONS

Patients with breast cancer with a history of smoking at diagnosis have elevated risks of recurrence and mortality.

IMPACT

These findings underscore the need to prioritize smoking cessation among women diagnosed with breast cancer.

Impact of Beta Blockers on Breast Cancer Incidence and Prognosis

Several studies have investigated the link between beta blockers (BB) and breast cancer outcomes but have reported mixed results. Our aim was to investigate the relationship between BB and breast cancer outcomes. Literatures investigating the relationship between BB and breast cancer outcomes were searched through PubMed and Embase. A total 43 articles were included by meta-analysis. We found BB increased breast cancer risk (n = 22, RR: 1.169, 95% CI: 1.063-1.285). We also found BB were associated with a lower overall survival (OS, n = 19, RR: 1.125, 95% CI: 1.078-1.173) and a higher recurrence risk (n = 8, RR: 1.130, 95% CI: 1.040-1.227) for breast cancer. Interestingly, subgroup analyses found only selective BB increased breast cancer risk (n = 5, RR: 1.766, 95% CI: 1.148-2.718) and recurrence risk (n = 2, RR: 1.168 -, 95% CI: 1.026-1.328) while only nonselective BB were associated with a lower OS (n = 4, RR: 1.135, 95% CI: 1.073-1.202) for breast cancer. Moreover, we found BB were associated with a significantly lower OS (n = 3, RR: 2.751, 95% CI: 1.213-6.238) and higher recurrence (n = 2, RR: 1.284, 95% CI: 1.102-1.497) only in luminal breast cancer while with a higher PFS (n = 2, RR: 0.585, 95% CI: 0.343-0.997) in Her2+ breast cancer. No significant differences in terms of CSM (n = 19, RR: 1.009, 95% CI: 0.947-1.077), PFS (n = 4, RR: 0.932, 95% CI: 0.616-1.305), and DFS (n = 2, RR: 0.776, 95% CI: 0.512-1.176) were observed. Our results provide evidence of the relationship between BB and breast cancer incidence and prognosis.

β-blockers and breast cancer survival by molecular subtypes: a population-based cohort study and meta-analysis

Background

The association between use of β-blockers and breast cancer (BC) prognosis has been investigated in several observational studies, with conflicting results. We performed a nationwide cohort study and a meta-analysis to investigate the association, and assess if it varied between molecular subtypes of BC.

Methods

We identified women aged ≥50 years with BC diagnosed between 2004 and 2018 in Norway. We used Cox regression models to estimate the association between β-blocker use at diagnosis and BC-specific survival, overall and by molecular subtype. We performed a meta-analysis of observational studies that reported molecular subtype-specific estimates of this association.

Results

We included 30,060 women, of which 4461 (15%) used β-blockers. After a median follow-up of 5.1 years, 2826 (9%) died of BC. Overall, β-blocker use was not associated with BC-specific survival (hazard ratio [HR] = 1.07; 95% confidence interval [CI]: 0.97–1.19). We found an association only in triple-negative BC (TNBC) patients (HR = 0.66; 95% CI: 0.47–0.91). This was confirmed in the meta-analysis: β-blocker use was associated with progression/recurrence-free (HR = 0.58; 95% CI: 0.38–0.89) and BC-specific survival (HR = 0.74; 95% CI: 0.55–1.00) in TNBC patients only.

Conclusion

In our cohort of BC patients and in the meta-analysis, β-blocker use was associated with prolonged BC-specific survival only in TNBC patients.