Co-Clinical Study of [fam-] Trastuzumab Deruxtecan (DS8201a) in Patient-Derived Xenograft Models of Uterine Carcinosarcoma and Its Association with Clinical Efficacy.
Clin Cancer Res
; 29(12): 2239-2249, 2023 06 13.
Article
em En
| MEDLINE
| ID: mdl-36976261
ABSTRACT
PURPOSE:
Uterine carcinosarcoma (UCS), a subtype of endometrial carcinoma, is a rare and aggressive cancer with a poor prognosis. High clinical efficacy of trastuzumab deruxtecan (T-DXd) in HER2-expressing UCS was recently reported in a phase II trial (STATICE trial). We performed a co-clinical study of T-DXd using patient-derived xenograft (PDX) models of participants in the STATICE trial. EXPERIMENTALDESIGN:
Tumor specimens were resected during primary surgery or biopsied at recurrence from patients with UCS and transplanted into immunodeficient mice. Seven UCS-PDXs from six patients were established and HER2, estrogen receptor (ER), and p53 expression in PDX and the original tumor was assessed. Drug efficacy tests were performed using six of the seven PDXs. Of the six UCS-PDXs tested, two were derived from patients enrolled in the STATICE trial.RESULTS:
The histopathological characteristics of the six PDXs were well-conserved from the original tumors. HER2 expression was 1+ in all PDXs, and ER and p53 expression was almost similar to that in the original tumors. Remarkable tumor shrinkage after T-DXd administration was observed in four of the six PDXs (67%), comparable with the response rate (70%) of HER2 1+ patients in the STATICE trial. Two patients enrolled in the STATICE trial showed partial response as the best response, and the clinical effect was well-replicated with marked tumor shrinkage.CONCLUSIONS:
We successfully performed a co-clinical study of T-DXd in HER2-expressing UCS, along with the STATICE trial. Our PDX models can predict clinical efficacy and serve as an effective preclinical evaluation platform.
Texto completo:
1
Eixos temáticos:
Pesquisa_clinica
Base de dados:
MEDLINE
Assunto principal:
Carcinossarcoma
/
Imunoconjugados
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Animals
/
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article