Cancer medicine · 2026
Eosinophil Proportion May Serve as a Candidate Biomarker for Adverse Events in Patients With Urothelial Carcinoma Treated With Enfortumab Vedotin.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Odagiri Kunihiro, Morikawa Toshiharu, Naiki Taku, Sugiyama Yosuke, Tasaki Yoshihiko, Mimura Yoshihisa, Naiki-Ito Aya, Nagai Takashi, Etani Toshiki, Iida Keitaro, Ishikawa Daiki, Noda Yusuke, Shimizu Nobuhiko, Aoki Maria, Gonda Masakazu, Banno Rika, Kubota Hiroki, Ando Ryosuke, Umemoto Yukihiro, Kawai Noriyasu, Furukawa-Hibi Yoko, Yasui Takahiro
Аннотация
Enfortumab vedotin (EV) is a crucial treatment for patients with metastatic urothelial carcinoma (mUC). However, a significant proportion of patients experience adverse events (AEs). The identification of biomarkers for AEs is imperative for the detection and treatment of AEs at an early stage. In this exploratory study, we aimed to identify biomarkers of AEs in patients with mUC treated with EV. We retrospectively examined 10 factors identified from the data of 116 patients with mUC treated with EV to identify biomarkers (age, body mass index, C-reactive protein level, Eastern Cooperative Oncology Group performance status, eosinophil proportion, history of diabetes, lymphocyte proportion, neutrophil proportion, neutrophil-to-lymphocyte ratio, and platelet count) associated with the occurrence of AEs of any grade. The candidate biomarkers were measured at the start of EV treatment. The least absolute shrinkage and selection operator method was used to select the most useful parameters for predicting AE occurrence. Among the 10 factors, eosinophil proportion was identified as the only potential biomarker. The optimal cutoff value for eosinophil proportion against the occurrence of AEs of any grade was 2.5% (area under the curve = 0.625). Univariable logistic regression analyses showed that an eosinophil proportion of ≥ 2.5% was a risk factor for AE development (odds ratio = 4.35, 95% confidence interval = 1.35-14.0). Therefore, the results of this exploratory study indicated that an eosinophil proportion of ≥ 2.5% at the start of EV treatment may be a candidate biomarker for the occurrence of AEs of any grade.