Abstract 5165: Development and validation of an assay for the characterization of SSTR2 expression on CTCs from liquid biopsies
Authors: Bayer Erin G. , Ponting Rachel N. , Kelly Ciara M. , Lutfi Areeb , Afghan Maaz K. , Ramirez Arturo B. , Kasi Pashtoon M. 
Published: March 2024

Background: Expression of Somatostatin Receptor subtype 2 (SSTR2) is observed in multiple cancers, including breast and colorectal cancer. Its role as a prognostic or predictive marker is cancer-type dependent. Recently, there has been renewed interest in assessing this biomarker since it plays a critical role as a target for radiotherapeutics (peptide receptor radionuclide therapy - PRRT) in patients with neuroendocrine tumors (NETs). Blood-based liquid biopsies are a non-invasive tool with proven effectiveness in characterizing cancer biomarker expression in patients. In this study, we describe the development and validation of a novel assay to analyze circulating tumor cells (CTCs) for expression of SSTR2 using the RareCyte platform.

Experimental Procedures: Using AccuCyte®, an unbiased density-based method for collecting nucleated cells from whole blood, we transferred nucleated cells to slides and stained for SSTR2, CD45, and CK/EpCAM to identify CTCs (CK+/EpCAM+, CD45-), and evaluate SSTR2 expression. Slides were imaged with CyteFinder®, an automated multiparameter immunofluorescent (IF) microscopy system that applies machine learning algorithms for rare cell identification. Both clinical and spike-in samples were used for assay validation. Single-cell SSTR2 mean fluorescence intensities (MFI) were analyzed to determine protein expression levels. Colorectal cancer with neuroendocrine features and Merkel cell cancer (neuroendocrine tumor of the skin) patient samples were evaluated for CTC enumeration and SSTR2 expression.

Results: The assay’s performance metrics for SSTR2 expression were 90+% accuracy, 85% sensitivity, 100% specificity with repeatability and intermediate precision CVs of 14.4% and 16.4%, respectively. A small cohort of colorectal cancer (1) and Merkel cell cancer (2) patient blood samples were tested using the assay. All 3 patients had high CTC levels (300+ per 7.5 mL). The percentage of SSTR2-positive CTCs ranged from 20-60%, reflective of tumor heterogeneity.

Conclusions: SSTR2 is an important target now in the advent of theranostics - PRRT. Prognostic and therapeutic implications of SSTR2 expression is an area of active clinical research. SSTR2 targeted therapeutics like 177Lu-dotatate illustrate the possible utility of SSTR2 as a predictive biomarker of treatment response. To date, most of the work has been focused on assessing SSTR2 on tissue. Herein, we show how a CTC platform can be adapted to assess a clinically relevant cell surface protein biomarker. This is now included as an important correlative in a clinical trial for Merkel Cell Cancer patients called iPRRT that is actively accruing (NCT05583708).

Citation Format: Erin G. Bayer, Rachel N. Ponting, Ciara M. Kelly, Areeb Lutfi, Maaz K. Afghan, Arturo B. Ramirez, Pashtoon M. Kasi. Development and validation of an assay for the characterization of SSTR2 expression on CTCs from liquid biopsies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5165.