Abstract 183P
Background
CDH17 is a highly specific therapeutic target for gastrointestinal (GI) adenocarcinoma. Cabotamig, a bispecific T-cell engager antibody directed against CDH17/CD3, is undergoing phase 1 clinical trial in Hong Kong and Australia for the treatment of advanced GI cancers (NCT05411133). We developed an automated CDH17 immunohistochemistry (IHC) assay as a potential companion diagnostic test (TibDx1).
Methods
The TibDx1 assay was developed and optimized using GeneTech’s NMPA-approved autostainer GS2000 to detect CDH17 expression in FFPE GI cancers tissue. Assay optimization was carried out using several clones of CDH17 antibodies. Assay precision studies including intraday and interday repeatability and antibody lot to lot variation were performed. A digital scoring system which quantified CDH17 expression as M Score was used to determine the positive rate of CDH17 across different GI neoplastic tissues (n=215) in tissue microarray (TMA) slides. A clinical cutoff of ≥10% CDH17 expression in tumor tissue confirmed by a pathologist was established and applied in the phase 1 clinical trial.
Results
The TibDx1 assay demonstrated optimal staining intensity with low background using the TIB-A01 clone antibody. Interlot study showed a 1.86% relative standard deviation (RSD) for M score generation across TIB-A01 antibody batches. Intraday and interday evaluation yielded 5.59% and 7.59% RSD, respectively. TMA M Score data exhibited concordance with published literature, with the highest CDH17 positivity rate for CRC, followed by gastric, esophageal, pancreatic adenocarcinoma, and cholangiocarcinoma. In the clinical trial, 38 patients were screened and 33 were enrolled, with enrolment rates of 100% for CRC and gastric adenocarcinoma, 57% for pancreatic adenocarcinoma, and 67% for liver cancers. Table: 183P
CDH17 positivity of different types of GI cancers and clinical study enrollment rate
GIC type | Published CDH17 IHC Data 1-10 | In-house CDH17 IHC Data | Cabotamig study enrollment rate (≥10% CDH17 expression in tumor confirmed by a pathologist) |
CRC | >95% | 13/15 (87%) | 22/22 (100%) |
Gastric adenocarcinoma | 50-90% | 36/44 (82%) | 1/1 (100%) |
Esophageal adenocarcinoma | 40-80% | 20/32 (63%) | / |
Pancreatic adenocarcinoma | 30-70% | 30/56 (54%) | 4/7 (57%) |
Cholangiocarcinoma | 30-50% | 22/47 (47%) | / |
Liver cancer | 10% | / | 2/3 (67%) |
Others | / | / | 4/5 (80%) |
1Altree-Tacha et al 2017, 2Panarelli et al 2012, 3Chen et al 2015, 4Lin et al 2014, 5Su et al 2008, 6Qiu et al 2013, 7Park et al 2007, 8Ito et al 2005, 9Zheng et al 2021, 10Jacobsen et al 2024
Conclusions
TibDx1 CDH17 IHC assay is a validated and reliable companion diagnostic tool, which facilitates patient selection for the effective use of Cabotamig in GI cancers.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Arbele Limited.
Funding
Arbele Pty Ltd, Sydney, NSW, Australia; Asian Fund for Cancer Research; Innovation & Technology Fund of HKSAR; HK Science Park & Technology.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
172P - HER2 expression across solid tumors and real-world implications for use of fam-trastuzumab deruxtecan-nxki (T-Dxd)
Presenter: Ahmed Ismail
Session: Poster session 08
173P - Unveiling a novel EpCAM-CD24+ circulating cells with unidentified origin associated with breast cancer distant metastasis
Presenter: Evgeniya Grigoryeva
Session: Poster session 08
174P - Prognostic value of the immune and metabolic profile in the response to neoadjuvant treatment with ICIs in triple-negative breast cancer patients (TNBC)
Presenter: Lucía Serrano García
Session: Poster session 08
175P - Utility of artificial intelligence (AI) in Ki67 scoring of a breast cancer (BC) patient population
Presenter: Xavier Pichon
Session: Poster session 08
176P - ERBB2 amplifications across sex, race, and cancer types
Presenter: Marc Machaalani
Session: Poster session 08
177P - HER2 testing in multiple solid tumors: Concordance between 3 scoring algorithms
Presenter: Wentao Yang
Session: Poster session 08
178P - PD-L1 expression in ER-low versus triple-negative (TN) advanced breast cancer (aBC), and according to phenotypic evolution from primary to recurrent disease
Presenter: Federica Miglietta
Session: Poster session 08
179P - Multimodal deep learning integrating MRI and molecular profiles for predicting outcomes in triple-negative breast cancer
Presenter: Seong Hwan Park
Session: Poster session 08
181P - Molecular characterization and immune microenvironment analysis of MSI-H patients with or without MMR gene mutations
Presenter: Mengxi Ge
Session: Poster session 08