Individual Article: Brodalumab Is an Efficacious, Safe, and Cost-Effective IL-17 Receptor Blocker for the Treatment of Moderate-to-Severe Plaque Psoriasis: 2023 Update.

Psoriasis remains a highly prevalent condition in the United States and worldwide. Preclinical research has been triumphant in elucidating the critical immunological pathways involved in psoriasis. There has been an evolution in biologics that paralleled the understanding of these pathways beginning with anti-tumor necrosis factor (TNF) inhibitors and now most recently the interleukin (IL)-23 and IL-17 axes. Numerous evidence-based studies demonstrate the efficacy of these agents for skin clearance in moderate-to-severe plaque psoriasis. Brodalumab, a fully humanized IL-17 receptor A (IL-17RA) antagonist, is wholly unique in that it binds to a cytokine receptor and not a cytokine itself unlike the other biologics indicated for psoriasis. This unique mechanism has lent an advantage where not only is brodalumab effective in treating moderate-to-severe plaque psoriasis, but it is also successful in psoriasis patients whose disease did not respond to other biologics. This review provides a summary of the efficacy of brodalumab in plaque psoriasis and difficult-to-treat locations (ie, scalp, nail, palmoplantar), in patients with psoriasis who failed to achieve minimum clearance with other biologics, and it illuminates the most recent pharmacovigilance data obtained from the past 5 years. Furthermore, the cost effectiveness of brodalumab is also discussed. J Drugs Dermatol. 2023;22:10(Suppl 1):s5-14.

Assessment of the prognostic and predictive utility of the Breast Cancer Index (BCI): an NCIC CTG MA.14 study.

BACKGROUND: Biomarkers that can be used to accurately assess the residual risk of disease recurrence in women with hormone receptor-positive breast cancer are clinically valuable. We evaluated the prognostic value of the Breast Cancer Index (BCI), a continuous risk index based on a combination of HOXB13:IL17BR and molecular grade index, in women with early breast cancer treated with either tamoxifen alone or tamoxifen plus octreotide in the NCIC MA.14 phase III clinical trial (ClinicalTrials.gov Identifier NCT00002864; registered 1 November 1999). METHODS: Gene expression analysis of BCI by real-time polymerase chain reaction was performed blinded to outcome on RNA extracted from archived formalin-fixed, paraffin-embedded tumor samples of 299 patients with both lymph node-negative (LN-) and lymph node-positive (LN+) disease enrolled in the MA.14 trial. Our primary objective was to determine the prognostic performance of BCI based on relapse-free survival (RFS). MA.14 patients experienced similar RFS on both treatment arms. Association of gene expression data with RFS was evaluated in univariate analysis with a stratified log-rank test statistic, depicted with a Kaplan-Meier plot and an adjusted Cox survivor plot. In the multivariate assessment, we used stratified Cox regression. The prognostic performance of an emerging, optimized linear BCI model was also assessed in a post hoc analysis. RESULTS: Of 299 samples, 292 were assessed successfully for BCI for 146 patients accrued in each MA.14 treatment arm. BCI risk groups had a significant univariate association with RFS (stratified log-rank p = 0.005, unstratified log-rank p = 0.007). Adjusted 10-year RFS in BCI low-, intermediate-, and high-risk groups was 87.5 %, 83.9 %, and 74.7 %, respectively. BCI had a significant prognostic effect [hazard ratio (HR) 2.34, 95 % confidence interval (CI) 1.33-4.11; p = 0.004], although not a predictive effect, on RFS in stratified multivariate analysis, adjusted for pathological tumor stage (HR 2.22, 95 % CI 1.22-4.07; p = 0.01). In the post hoc multivariate analysis, higher linear BCI was associated with shorter RFS (p = 0.002). CONCLUSIONS: BCI had a strong prognostic effect on RFS in patients with early-stage breast cancer treated with tamoxifen alone or with tamoxifen and octreotide. BCI was prognostic in both LN- and LN+ patients. This retrospective study is an independent validation of the prognostic performance of BCI in a prospective trial.

Genome-based risk prediction for early stage breast cancer.

Tests to better characterize tumor genomic architecture are quickly becoming a standard of care in oncology. For breast cancer, the use of gene expression assays for early stage disease is already common practice. These tests have found a place in risk stratifying the heterogeneous group of stage I-II breast cancers for recurrence, for predicting chemotherapy response, and for predicting breast cancer-related mortality. In the last 5 years, more assays have become available to the practicing oncologist. Given the rapidity with which this field has evolved, it is prudent to review the tests, their indications, and the studies from which they have been validated. We present a comprehensive review of the available gene expression assays for early stage breast cancer. We review data for several individual tests and comparative studies looking at risk prediction and cost-effectiveness.