Abstract 106P
Background
Antibody-drug conjugates (ADCs) have improved survival in metastatic breast cancer (MBC). Despite ADCs having a better safety profile than chemotherapy, treatment-related adverse events (TRAE) have been widely reported in clinical trials. Assessing the prevalence of TRAEs is essential for handling symptom burden. Therefore, based on the studies' design, we conducted a meta-analysis to estimate the prevalence of the TRAEs related to currently approved ADCs in individuals with MBC.
Methods
We searched the PubMed, Embase, Scopus, CINAHL, and Cochrane databases up to December 2023. We estimated proportions with 95% confidence intervals, using both exact binomial and score test-based confidence intervals. We applied the Freeman-Tukey double arcsine transformation to stabilize variances within random-effects models performed using the Metaprop command in Stata. Subsequently, we quantitatively assembled the pooled effect sizes for each TRAE to ascertain the proportion of the TRAEs using a random effect model.
Results
Ten randomised controlled trials (RCTs) and 13 cohort studies were included, with 3266 and 1945 subjects, respectively. Gastrointestinal disorders were highly prevalent during T-DXd (39%, 95% CI: 16-62%; 39%, 95% CI: 21-56%), general disorders (i.e., fatigue) were extremely common during TDM-1 therapy (23%, 95% CI: 14-31%; 26%, 95% CI: 16-37%) and blood system disorders (i.e., neutropenia) were the most prevalent (49%, 95% CI: 17-82%; 31%, 95% CI: 5-58%) along with gastrointestinal disorders (37%, 95% CI: 19-56%; 37%, 95% CI: 19-55%) during sacituzumab govitecan treatment. The highest percentage was reached by nausea (77%; 95% CI: 72-81%; 73%, 95% CI: 70-75%) during T-DXd therapy.
Conclusions
Despite nausea being the most prevalent symptom overall, each treatment has a specific toxicity profile that should be considered when planning treatment care pathways in MBC. This approach may pave the groundwork for developing personalised risk-stratified cancer care treatments.
Editorial acknowledgement
Clinical trial identification
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
35P - Whole exome sequencing reveals high frequency of Notch pathway mutations in Indian breast cancer cases
Presenter: Harsh Goel
Session: Cocktail & Poster Display session
Resources:
Abstract
36P - Abacavir potentiates the efficacy of doxorubicin in breast cancer cells via KDM5B Inhibition
Presenter: Anmi Jose
Session: Cocktail & Poster Display session
Resources:
Abstract
37P - Identification of immune profile in advanced cutaneous squamous cell carcinoma predicting immunotherapy response
Presenter: Alfonso Esposito
Session: Cocktail & Poster Display session
Resources:
Abstract
39P - MicroRNA as a promising molecular biomarker for liquid biopsy in breast cancer
Presenter: Giorgia Vesca
Session: Cocktail & Poster Display session
Resources:
Abstract
40P - Patient-based models to study infiltration heterogeneity in gliomas
Presenter: Ivana Manini
Session: Cocktail & Poster Display session
Resources:
Abstract
42P - HER2 aberration as a potential predictive biomarker for extrapulmonary small cell neuroendocrine carcinoma
Presenter: Jiri Dvorak
Session: Cocktail & Poster Display session
Resources:
Abstract
43P - Assessment of methylation-specific genetic markers for reliable colorectal cancer detection and their potential in liquid biopsy applications
Presenter: Jiri Dvorak
Session: Cocktail & Poster Display session
Resources:
Abstract
44P - Calculated numerical karyotype with ultra low-coverage whole genome sequencing undercovers recurrent chromosomal aberrations in resectable colorectal cancer
Presenter: Thomas Samer Tarawneh
Session: Cocktail & Poster Display session
Resources:
Abstract
46P - Promising epi(genetic) biomarkers for ovarian tumor prognosis
Presenter: Ieva Vaicekauskaitė
Session: Cocktail & Poster Display session
Resources:
Abstract
47P - Integration of miRNA profiles and p53 mutations as biomarkers for predicting sensitivity and resistance to FGFR inhibitor CPL110 in cancer therapy
Presenter: Monika Skupinska
Session: Cocktail & Poster Display session
Resources:
Abstract