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Supplementary Figure 2 from Co-Clinical Study of [fam-] Trastuzumab Deruxtecan (DS8201a) in Patient-Derived Xenograft Models of Uterine Carcinosarcoma and Its Association with Clinical Efficacy

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posted on 2023-04-25, 13:40 authored by Shigehiro Yagishita, Tadaaki Nishikawa, Hiroshi Yoshida, Daisuke Shintani, Sho Sato, Maiko Miwa, Mikiko Suzuki, Masanori Yasuda, Yusuke Ogitani, Takahiro Jikoh, Kan Yonemori, Kosei Hasegawa, Akinobu Hamada

ER and p53 immunohistochemistry of original and patient-derived xenograft (PDX) tumors

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ARTICLE ABSTRACT

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. 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. 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. 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.

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