Abstract 438P
Background
Immune checkpoint inhibitors (ICIs) demonstrate efficacy against various cancers by activating the immune response against neoplasia. On the other hand, ICI-related myocarditis, which has a high mortality rate, is known to occur as adverse event. Therefore, safe ICI therapy should be established worldwide. In the present study, we developed a mouse model of ICI-related myocarditis and evaluated the efficacy of vitamin D, which exerts therapeutic effects on autoimmune myocarditis.
Methods
PD-1 knockout (PD-1KO) mice were treated with the myocardial myosin peptide and pertussis toxin to create a mouse model of ICI-related myocarditis. After 21 days of myocardial myosin peptide administration, their hearts were dissected and evaluated for the development of myocarditis. In addition, vitamin D, a candidate drug, was administered to the model mice every other day to evaluate its effect on the severity of myocarditis.
Results
Administering the myocardial myosin peptide to PD-1KO mice resulted in infiltration of inflammatory cells into the myocardial tissue and progressive myocardial fibrosis. Fluorescent immunostaining showed infiltration of CD4⁺ and CD8⁺ T cells in the myocardial tissue. Inflammatory cell infiltration was significantly suppressed in the vitamin D-treated group than in the vehicle group, as was CD4⁺ and CD8⁺ T cell infiltration. There was a trend toward suppression of myocardial fibrosis with vitamin D administration, although without statistical significance.
Conclusions
By administering the myocardial myosin peptide to PD-1KO mice, we generated a simple and reproducible experimental model of ICI-related myocarditis. Furthermore, vitamin D attenuated the infiltration of inflammatory cells and prevented the onset of ICI-related myocarditis in the model mice. The application of vitamin D as a prophylactic agent for ICI-related myocarditis should be investigated in the future.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Japan Society for the Promotion of Science.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
309P - Expression of estrogen receptor is a negative predictive biomarker for immunotherapy with lenvatinib plus pembrolizumab for advanced endometrial cancer with pMMR
Presenter: Hiroyuki Fujii
Session: Poster Display
Resources:
Abstract
310P - A study on the prediction of recurrence site of endometrial cancer using various machine learning techniques
Presenter: Wonkyo Shin
Session: Poster Display
Resources:
Abstract
311P - Circulating cytokines in the differential diagnosis of endometrial cancer
Presenter: Tatyana Abakumova
Session: Poster Display
Resources:
Abstract
312P - Molecular and genetic features of squamous cell carcinoma of vulvar cancer depending on HPV status
Presenter: Visola Navruzova
Session: Poster Display
Resources:
Abstract
313P - Efficacy and safety of oral metronomic chemotherapy in recurrent refractory advanced gynaecological cancer: Experience from regional cancer center of eastern India
Presenter: Ranti Ghosh
Session: Poster Display
Resources:
Abstract
314P - Perioperative outcomes in advanced epithelial ovarian cancer treated with neoadjuvant bevacizumab and chemotherapy: Real-world experience from an Indian cancer centre
Presenter: Upasana Palo
Session: Poster Display
Resources:
Abstract
315P - Real-world experience of niraparib as maintenance therapy in newly diagnosed advanced ovarian cancer: A single-center retrospective study
Presenter: Wenxin Liu
Session: Poster Display
Resources:
Abstract
316P - First evidence of olaparib maintenance therapy in patients with newly diagnosed BRCA wild-type ovarian cancer: A real-world multicenter study
Presenter: Jing Li
Session: Poster Display
Resources:
Abstract
317P - Attitudes of Israeli gynecologists towards risk reduction salpingo-oophorectomy at hysterectomy for benign conditions and the use of hormonal therapy
Presenter: wisam Assaf
Session: Poster Display
Resources:
Abstract
319P - Survival prediction for ovarian cancer patients from Taiwan cancer registry data
Presenter: Tzu-Pin Lu
Session: Poster Display
Resources:
Abstract