Abstract 1877P
Background
T-DXd is approved for use in several different solid tumours. Here we summarize its safety and tolerability profile.
Methods
Studies were identified from MEDLINE and proceedings of ASCO, ESMO and SABCS. Eligible studies were clinical trials (phases 1 [dose-expansion], 2 or 3) reporting safety and tolerability of T-DXd. Data were pooled as the mean weighted by individual study sample size. Meta regression comprising linear regression weighted by sample size explored associations with AEs. Quantitative significance was defined as beta coefficient ≥ 0.28.
Results
Twenty-six studies comprising 3853 patients were included, with median age 57.5 years, 80% women & 57% of non-white ethnicity. In 12 studies patients were treated at both the 5.4 mg/kg and 6.4mg/kg dose. All grade (Mean, (95% CI)) AEs were seen in 98.9% & grade ≥3 AEs in 55.1%. Most common all grade AEs (≥25%) were nausea 69.2%, fatigue 37.2%, vomiting 36.2%, anemia 35.8%, alopecia 32.6%, diarrhea 28.6% & thrombocytopenia 26.4%. Most common (≥5%) grade ≥3 AEs were anemia 12.3%, thrombocytopenia 7%, fatigue 5.7% and nausea 5.4%. Interstitial lung disease (ILD) occurred in 13%, grade ≥3 ILD 2.1%, median time to ILD onset was 193 days (range 66.5-248), and 1% of patients died due to ILD. Treatment discontinuation without progression was observed in 17.1% of patients and deaths due to toxicity in 4.6%. Results of the meta regression are shown in the table. In bivariable analysis, associations between dose and grade ≥3 AEs and grade ≥3 ILD remained significant after adjustment for sex, ethnicity, region, and cancer site. Table: 1877P
Beta coefficients for meta-regression of associations with AEs
All grade Anemia | All grade thrombo-cytopenia | All grade Alopecia | All grade ILD | Grade ≥3 AE | Grade ≥3 ILD | Treatment discontinuation | toxic death | |
Age | 0.41 | 0.29 | -0.46 | ConclusionsT-DXd has a safety and tolerability profile consistent with cytotoxic chemotherapy. The risk of AEs are lower in women and higher in non-white ethnicity and higher T-DXd dose. Clinical trial identificationEditorial acknowledgementLegal entity responsible for the studyThe authors. FundingHas not received any funding. DisclosureE. Amir: Financial Interests, Personal, Other, Honorarium: Seagen, Gilead; Financial Interests, Personal, Speaker, Consultant, Advisor: AstraZeneca, Novartis. All other authors have declared no conflicts of interest. Resources from the same session1832P - Physical condition is associated with quality of life in colorectal cancer survivors: Results from a Portuguese and Spanish cohort of patientsPresenter: Luisa Soares Miranda Session: Poster session 12 1833P - JUMP_START: Optimization of multiprofessional care for young patients with colorectal cancerPresenter: Kaiyu Xu Session: Poster session 12 1834P - Accuracy of recommendations by a conversational Artificial Intelligence (AI) cancer mentor application (app): A multi-disciplinary, multi-institutional evaluation reportPresenter: Talia Golan Session: Poster session 12 1835P - Multi-centre, randomised controlled trial of digital health cancer solution for cancer patients receiving chemotherapyPresenter: Agnieszka Michael Session: Poster session 12 1836P - Patient-reported health behaviors (PRHB) among 1850 patients enrolled in a remote patient monitoring (RPM) pathwayPresenter: Maria Alice Franzoi Session: Poster session 12 1837P - Assessing care complexity in remote patient monitoring (RPM): A cohort study of 2434 cancer patients across 50 sites in France and BelgiumPresenter: Capucine Baldini Session: Poster session 12 1838P - AI-based smart oncology follow-up system: Prospective application testing and enhancement of clinical efficacyPresenter: Chunwei Xu Session: Poster session 12 1839P - Dynamic reporting of treatment related symptoms via ePROs can reversely identify the type of underlying cancerPresenter: Andreas Trojan Session: Poster session 12 1840P - Ready for digital health? A national mirror survey exploring the perspectives of both patients and healthcare professionalsPresenter: Florian Scotté Session: Poster session 12 1841P - Feasibility of wrist-worn health-tracker data to predict the need for therapy modifications in patients with metastatic cancerPresenter: Anna Sophie Berghoff Session: Poster session 12 This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used. For more detailed information on the cookies we use, please check our Privacy Policy.
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