Effect of antipsychotics on breast tumors by analysis of the Japanese Adverse Drug Event Report database and cell-based experiments

Antipsychotic-induced hyperprolactinemia: Toxicologic mechanism and the increased breast cancer risk

Antipsychotic drugs are effective at improving both the positive and negative symptoms of schizophrenia as well as the manic phase of bipolar disorder. Whether an antipsychotic is termed typical or atypical is related to the xenobiotic's propensity to cause extrapyramidal side effects. However, with a few exceptions, drugs of both classes of antipsychotics are known to cause hyperprolactinemia. As many breast cancers are responsive to prolactin concentrations, the persistent increase in prolactin of the antipsychotics has implications for public health and carcinogenesis. The objective of this study was to review the extant literature on hyperprolactinemia due to antipsychotics, and to determine the risk imposed by those drugs on human breast cancer. A summary risk of breast cancer with use of any antipsychotic was found to be 1.19 (95 % confidence interval 1.10-1.30). When limiting usage of antipsychotics to 5 or more years, the summary risk increased to 1.26 (95 % confidence interval 1.12-1.43). And when limited to those studies who evaluated only those medications with the greatest increase in prolactin, the risk increased to 1.59 (95 % confidence interval 1.37-1.85). Given this increased risk of breast cancer, stronger warnings about this increased risk are warranted, and regular monitoring of prolactin levels and breast cancer screening should be part of the management plan for these patients.

Cytomegalovirus Occurrence and Time-to-onset Analysis Under Bendamustine With Anti-CD20 Antibodies Using the JADER Database

BACKGROUND/AIM

Patients with malignant lymphoma, in a latent state of weakened immune function, are at risk of chemotherapy-induced immunosuppression and cytomegalovirus (CMV) infection. Concomitant therapy with bendamustine and rituximab or obinutuzumab intensifies immunosuppression, potentially affecting CMV onset. This study aimed to assess CMV onset differences between bendamustine monotherapy and combination therapy with rituximab or obinutuzumab using the Japanese Adverse Drug Event Report database (JADER).

PATIENTS AND METHODS

A JADER analysis dataset (April 2004 to September 2022) defined CMV infection using 31 preferred term (PT) words from MedDRA 25.1J HLT "Cytomegalovirus infection (10011827)". Reporting odds ratios (ROR) calculated CMV infection signals for bendamustine monotherapy, rituximab, obinutuzumab, bendamustine+rituximab (BR), and bendamustine+obinutuzumab (GB). ROR confidence intervals exceeding 1 indicated a CMV signal. Days of CMV infection were calculated based on adverse event onset and administration start.

RESULTS

CMV signals were confirmed for monotherapy and combination therapies. CMV infection durations (median, interquartile range) were 41.0 days (23.5-69.5) for bendamustine monotherapy, 63.5 days (35.2-95.0) for BR, and 61.0 days (33.0-102.5) for GB, with cases exceeding 200 days.

CONCLUSION

JADER analysis detected significant CMV signals for rituximab, obinutuzumab, and bendamustine. Caution may be warranted 7-9 months post-bendamustine administration, necessitating further investigation, including cell-mediated immunity suppression assessment.

Antipsychotic exposure is an independent risk factor for breast cancer: A systematic review of epidemiological evidence

Background

The effect of antipsychotics on breast cancer remains controversial.

Materials and methods

Embase, Scopus, PubMed, Web of Science, Cochrane Library, and Hebei Medical University Library were used for the literature search. Observational studies with original data for the effects of antipsychotics on breast cancer were used. Studies of bed quality, those with inadequate sample size, incomplete follow-up works, or studies that did not meet the criteria were excluded. Meta-analysis was performed using R version 4.1.2. The odds ratio (OR) and its 95% confidence interval (CI) were used to evaluate the proportion of breast cancer in different groups. To detect possible sources of heterogeneity, subgroup and meta-regression analyses were employed.

Results

Pooled data from 11 relevant studies with 1,499,001 participants suggested that individuals exposed to antipsychotics were more likely to suffer from breast cancer than those who were not exposed (OR, 1.23; 95% CI, 1.04-1.47). No significant difference in breast cancer prevalence between the atypical and typical antipsychotic groups was found (OR, 1.23; 95% CI, 0.93-1.63). Prolactin (PRL)-increasing and PRL-sparing antipsychotics posed a similar risk of breast cancer (OR, 1.13; 95% CI, approximately 0.97-1.31). Furthermore, the use of antipsychotics is attributed to increased mortality in patients with breast cancer (OR, 1.54; 95% CI, 1.29-1.82). Those exposed to antipsychotics at the maximum dose were more likely to suffer from breast cancer than those exposed to the minimum dose.

Conclusions

Antipsychotic exposure is an independent risk factor for breast cancer. No significant difference in the risk of breast cancer between typical and atypical antipsychotics was noted. Those exposed to antipsychotics at higher doses are more likely to suffer from breast cancer. Moreover, the use of antipsychotics is attributed to increased mortality in patients with breast cancer. PRL-increasing and PRL-sparing antipsychotics pose a similar risk of breast cancer.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022307624.

Risk of Breast Cancer in Association with the Use of Second-generation Antipsychotics

OBJECTIVE

Previous studies regarding the relationship between the risk of breast cancer (BC) and antipsychotics use have reported inconsistent findings. Insufficient sample size and/or observation period may have hindered revealing the risk of BC associated with antipsychotics use. We aimed to investigate whether the use of second-generation antipsychotics (SGA) is associated with increased risk of BC.

METHODS

We used the Health Insurance Review Agency database in South Korea between 2008 and 2018. The index date was determined as the date of the first antipsychotic prescription. We selected women prescribed SGAs for more than 30 days within a year from the index date and age-matched controls, yielding 498,970 cases and 997,940 controls. The Cox proportional hazards regression model was used for estimating the risk.

RESULTS

The incidence rates of BC were 109.74 and 101.51 per 100,000 person-years in the case and control groups, respectively. There was an increased risk of BC in the case group (hazard ratio [HR] = 1.08, 95% confidence interval [CI] 1.04-1.13). There was a higher risk of BC in subjects prescribed with ≥ 10,000 mg of olanzapine equivalent dose (HR = 1.29, 95% CI 1.14-1.46) than those with < 10,000 mg (HR = 1.05, 95% CI 1.00-1.11). The increased risk of BC in the case group became significant after six years of the observation period (≥ 6 years: HR = 1.24, 95% CI 1.14-1.35, 3 to < 6 years: HR = 1.06, 95% CI 0.97-1.15, < 3 years: HR = 1.02, 95% CI 0.95-1.09).

CONCLUSION

This study indicated that the use of SGAs is associated with increased risk of BC in a long-term relationship with a dose-response pattern.