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Citations to this article

A clinical-grade liquid biomarker detects neuroendocrine differentiation in prostate cancer
Shuang G. Zhao, … , Mary-Ellen Taplin, Joshua M. Lang
Shuang G. Zhao, … , Mary-Ellen Taplin, Joshua M. Lang
Published November 1, 2022
Citation Information: J Clin Invest. 2022;132(21):e161858. https://doi.org/10.1172/JCI161858.
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Clinical Research and Public Health Oncology Article has an altmetric score of 40

A clinical-grade liquid biomarker detects neuroendocrine differentiation in prostate cancer

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Abstract

Background Neuroendocrine prostate cancer (NEPC) is an aggressive subtype, the presence of which changes the prognosis and management of metastatic prostate cancer.Methods We performed analytical validation of a Circulating Tumor Cell (CTC) multiplex RNA qPCR assay to identify the limit of quantification (LOQ) in cell lines, synthetic cDNA, and patient samples. We next profiled 116 longitudinal samples from a prospectively collected institutional cohort of 17 patients with metastatic prostate cancer (7 NEPC, 10 adenocarcinoma) as well as 265 samples from 139 patients enrolled in 3 adenocarcinoma phase II trials of androgen receptor signaling inhibitors (ARSIs). We assessed a NEPC liquid biomarker via the presence of neuroendocrine markers and the absence of androgen receptor (AR) target genes.Results Using the analytical validation LOQ, liquid biomarker NEPC detection in the longitudinal cohort had a per-sample sensitivity of 51.35% and a specificity of 91.14%. However, when we incorporated the serial information from multiple liquid biopsies per patient, a unique aspect of this study, the per-patient predictions were 100% accurate, with a receiver-operating-curve (ROC) AUC of 1. In the adenocarcinoma ARSI trials, the presence of neuroendocrine markers, even while AR target gene expression was retained, was a strong negative prognostic factor.Conclusion Our analytically validated CTC biomarker can detect NEPC with high diagnostic accuracy when leveraging serial samples that are only feasible using liquid biopsies. Patients with expression of NE genes while retaining AR-target gene expression may indicate the transition to neuroendocrine differentiation, with clinical characteristics consistent with this phenotype.Funding NIH (DP2 OD030734, 1UH2CA260389, R01CA247479, and P30 CA014520), Department of Defense (PC190039 and PC200334), and Prostate Cancer Foundation (Movember Foundation — PCF Challenge Award).

Authors

Shuang G. Zhao, Jamie M. Sperger, Jennifer L. Schehr, Rana R. McKay, Hamid Emamekhoo, Anupama Singh, Zachery D. Schultz, Rory M. Bade, Charlotte N. Stahlfeld, Cole S. Gilsdorf, Camila I. Hernandez, Serena K. Wolfe, Richel D. Mayberry, Hannah M. Krause, Matt Bootsma, Kyle T. Helzer, Nicholas Rydzewski, Hamza Bakhtiar, Yue Shi, Grace Blitzer, Christos E. Kyriakopoulos, David Kosoff, Xiao X. Wei, John Floberg, Nan Sethakorn, Marina Sharifi, Paul M. Harari, Wei Huang, Himisha Beltran, Toni K. Choueiri, Howard I. Scher, Dana E. Rathkopf, Susan Halabi, Andrew J. Armstrong, David J. Beebe, Menggang Yu, Kaitlin E. Sundling, Mary-Ellen Taplin, Joshua M. Lang

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Total citations by year

Year: 2025 2024 2023 2022 Total
Citations: 5 6 3 3 17
Citation information
This citation data is accumulated from CrossRef, which receives citation information from participating publishers, including this journal. Not all publishers participate in CrossRef, so this information is not comprehensive. Additionally, data may not reflect the most current citations to this article, and the data may differ from citation information available from other sources (for example, Google Scholar, Web of Science, and Scopus).

Citations to this article in year 2023 (3)

Title and authors Publication Year
Recent Advances in Blood-Based Liquid Biopsy Approaches in Prostate Cancer.
Cani AK, Salami SS
Cancer journal (Sudbury, Mass.) 2023
Mitochondria and NLRP3 inflammasome in cardiac hypertrophy.
Yan R, Sun Y, Yang Y, Zhang R, Jiang Y, Meng Y
Molecular and Cellular Biochemistry 2023
H19 in Serum Extracellular Vesicles Reflects Resistance to AR Axis-targeted Therapy Among CRPC Patients.
Kato T, Kawakami K, Mizutani K, Ando T, Sakai Y, Sakurai K, Toyota S, Ehara H, Ito H, Ito M
Cancer genomics & proteomics 2023

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