Schneider, Amber

Background and Aims: This systematic review and meta-analysis aims to compare the performance of UroVysion® FISH based on the different definitions of a positive result used in published literature with the goal of determining the optimal FISH definition for detecting pancreaticobiliary malignancy. Methods: A systematic literature search identified studies from database inception to Sept 2024 that evaluated the diagnostic performance of FISH in determining malignancy among patients with biliary strictures. All thresholds for positive FISH, as defined by the individual study, were included in this review. Subgroup analysis was performed based on the definitions of positive FISH as follows: (1) polysomy only; (2) polysomy, tetrasomy, or trisomy; and (3) polysomy or 9p deletion. Results: Eighteen studies comprising 2516 FISH specimens were analyzed, including 1133 (45.0%) with malignancy. Using a threshold for positivity as defined in individual studies, the overall sensitivity of FISH was 57.6% (95% confidence interval [CI], 49.4–65.4%), and the overall specificity was 87.8% (95% CI, 79.2–93.2%). Subgroup analysis showed that polysomy as the threshold for positive FISH yielded a sensitivity of 49.4% (95% CI, 43.2–55.5%), with an increased specificity of 96.2% (95% CI, 92.7–98.1%), while polysomy + tetrasomy/trisomy as positive FISH resulted in an increased sensitivity of 64.3% (95% CI 55.4–72.2%) but a decreased specificity of 78.9% (95% CI 64.4–88.5%). The addition of 9p deletion to polysomy as the criteria for a positive test resulted in a non-significant increase in sensitivity (54.7% (95% CI 42.4–66.5%) while maintaining specificity (95.1% (95% CI 84.0–98.6%). Conclusions: Based on these findings, polysomy only or polysomy/9p deletion should be considered as the criterion for defining a positive FISH test to improve diagnostic sensitivity while maintaining high specificity.

Background and Aims: Early identification of malignant biliary strictures (MBSs) is challenging, with up to 20% classified as indeterminants after preliminary testing and tissue sampling with endoscopic retrograde cholangiopancreatography. We aimed to evaluate the use of methylated DNA markers (MDMs) from biliary brushings to enhance MBS detection in a prospective cohort. Approach: Candidate MDMs were evaluated for their utility in MBS diagnosis through a series of discovery and validation phases. DNA was extracted from biliary brushing samples, quantified, bisulfite-converted, and then subjected to methylation-specific droplet digital polymerase chain reaction. Patients were considered to have no malignancy if the sampling was negative and there was no evidence of malignancy after 1 year or definitive negative surgical histopathology. Results: Fourteen candidate MDMs were evaluated in the discovery phase, with top-performing and new markers evaluated in the technical validation phase. The top 4 MDMs were TWIST1, HOXA1, VSTM2B, and CLEC11A, which individually achieved AUC values of 0.82, 0.81, 0.83, and 0.78, respectively, with sensitivities of 59.4%, 53.1%, 62.5%, and 50.0%, respectively, at high specificities for malignancy of 95.2%–95.3% for the final biologic validation phase. When combined as a panel, the AUC was 0.86, achieving 73.4% sensitivity and 92.9% specificity, which outperformed cytology and fluorescence in situ hybridization (FISH). Conclusions: The selected MDMs demonstrated improved performance characteristics for the detection of MBS compared to cytology and FISH. Therefore, MDMs should be considered viable candidates for inclusion in diagnostic testing algorithms.

Abstract Background: Biomarker testing in lung cancer is often limited by a lack of sufficient formalin fixed, paraffin embedded (FFPE) tissue for comprehensive genomic profiling. To promote personalized therapy for lung cancer, a multiplex FISH assay was developed to simultaneously assess aberrations in ROS1, RET, and MET on a single FFPE specimen slide. Methods: Specimens included primary tumor (N = 39) as well as biopsies from a variety of metastatic sites (N = 16). These included 12 samples with ROS1 rearrangements, 3 samples with RET rearrangements, and 11 samples with MET amplification reported by a previously validated laboratory test method. A probe mix contained 6 differentially labeled fluorescent probes: 3' ROS1, 5' ROS1, 3' RET, 5' RET, MET and CEP7. The probes were formulated in Vysis IntelliFISH Hybridization Buffer to allow for a 2 h hybridization time. BioView imaging platform and Duet software algorithm were used to perform automated slide scanning and digital analysis. Specimens were considered positive for ROS1 or RET rearrangement if >15% evaluated cells contained a break apart (rearranged) signal. Specimens were considered positive for MET amplification if >15% of cells had MET/CEP7 ratio >2 and positive for polysomy if >15% of cells had 5 or more MET signals copies. Results: The 6 color FISH assay was 97% concordant for ROS1 rearrangement and 100% concordant for RET rearrangement. The average background percentage of positive tumor cells in cases without known gene rearrangements was approximately 5%, yielding a negative cutoff threshold of approximately 15%, in accordance with cutoff thresholds reported in literature. The 6 color FISH assay was 91% concordant for MET amplification or polysomy. Results were interpretable for 98% of targets analyzed by the 6 color FISH method. Four samples failed on analysis for one of the targets due to lack of sufficient cells or lack of adequate hybridization signal. Conclusion: A newly developed 6-color FISH assay allows simultaneous detection of three genomic abnormalities using only 1 specimen slide. This feature combined with rapid hybridization in IntelliFISH buffer and automated BioView slide imaging and analysis can significantly increase the yield of molecular testing on limited lung cancer tissue samples. Careful pathologic correlation for tumor cell identification and careful assessment of hybridization quality are necessary to optimize the accuracy of this test method. Citation Format: Irina A. Sokolova, Patrick Bedroske, Tatyana A. Grushko, Amber R. Schneider, Kristine Jacobson, Jesse S. Voss, Yishay Tauber, Yossi Avisror, Vitaliy Shkolnik, Katerina Pestova, Katherine B. Geiersbach. Multiplex fast FISH assay for detecting ROS1, RET and MET aberrations in FFPE specimens using BioView image analysis [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4256.