PO.CL01.06 · 临床研究

Reliable antibodies for cancer research: TROP2 as a case study of Abcam's enhanced validation framework

海报缩略图:Reliable antibodies for cancer research: TROP2 as a case study of Abcam's enhanced validation framework
编号 7733 展板 24 时间 4/22 09:00–12:00 区域 Section 41 主讲 Caroline Anderson (Hirst)
分会场 Biomarkers Predictive of Therapeutic Benefit 6
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作者与单位

Caroline S. Hirst, JK Tanjore Ramanathan, Nadine Nelson, Antonella Galli, Will Howat, Silvia Sbacchi

Abcam Limited, Cambridge, United Kingdom

摘要 Abstract

Reliable antibody performance is essential for cancer research, particularly when investigating disease-associated targets such as TROP2. Conventional antibody validation methods often fall short in addressing the complexity of human tissue expression and disease heterogeneity. To overcome these limitations, an enhanced validation framework was developed that integrates disease-relevant tissue profiling. This approach combines multiple validation steps, including knock out validation testing and generating detailed IHC expression profiles in selected formalin-fixed paraffin-embedded (FFPE) human tissue microarrays (TMA) using automated immunohistochemistry (IHC) platforms. As a case study, a recombinant rabbit monoclonal antibody (RabMab®) targeting TROP2, clone EPR20043 (ab214488) was validated across multiple IHC automated platforms. The antibody demonstrated high specificity, with no TROP2 detected by IHC in FFPE cell pellets prepared from TACSTD2 knockout MCF7 cells (ab286330). Furthermore, AI-driven expression profiling of multi-cancer TMAs (breast, lung, ovarian and endometrial cancer) revealed high sensitivity for detecting diverse protein expression levels, supporting its potential for biomarker assessment, patient stratification and diagnostic applications across varied disease settings. This study highlights the value of enhanced antibody validation in de-risking reagent selection and ensuring robust, reproducible results in cancer research. The TROP2 case exemplifies how rigorous Abcam's antibody validation can accelerate discovery and translational applications in the oncology research.
利益披露 Disclosure
C. S. Hirst, Abcam Limited Employment. J. Ramanathan, Abcam Limited Employment. N. Nelson, Abcam Limited Employment. A. Galli, Abcam Limited Employment. W. Howat, Abcam Limited Employment. S. Sbacchi, Abcam Limited Employment.

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