Figure 1 from High-Purity CTC RNA Sequencing Identifies Prostate Cancer Lineage Phenotypes Prognostic for Clinical Outcomes
Year: 2025
Type: other
Abstract: RNA-seq of high-purity CTCs isolated from patients with metastatic prostate cancer reveals four transcriptional phenotypes. A, Tumor/CTC purity was assessed using the ESTIMATE algorithm in prostate cancer cell line samples (n = 12, green), CTC samples processed with standard-stringency (n = 41, blue) or novel high-stringency (n = 211, orange) method; healthy donor blood samples processed analogous to novel high-stringency CTC samples (n = 12, pink) and a published dataset of mCRPC tissue biopsies separated by biopsy site (n = 629, gray). ESTIMATE score is plotted for each sample. B, ESTIMATE tumor fraction (left) and CIBERSORTx immune content (right) scores for standard-stringency (n = 41, blue) or high-stringency (n = 211, orange) CTC methods are plotted and compared with prostate cancer cell lines (n = 12, green). C, Assessment of the number of samples meeting high-purity threshold for standard-stringency vs. high-stringency methods. D, Consensus k-means clustering of single-sample pathway z-scores of 146 high-purity CTC samples from 70 patients with metastatic prostate cancer identifies four distinct clusters. CRPC, castration-resistant prostate cancer.
Authors: Marina N. Sharifi, Jamie M. Sperger, Amy K. Taylor, Katharine E. Tippins, Shannon R. Reese, Viridiana Carreno, Katherine R. Kaufmann, Alex H. Chang, Luke A. Nunamaker, Charlotte Linebarger, Leilani Mora-Rodriguez, Jennifer L. Schehr, Hannah M. Krause, Kyle T. Helzer, Matthew L. Bootsma, Grace C. Blitzer, John M. Floberg, Christos E. Kyriakopoulos, Hamid Emamekhoo, Elisabeth I. Heath, Meghan Wells, Scott T. Tagawa, Martin Sjöström, Atish D. Choudhury, Menggang Yu, Andrew J. Armstrong, Dana E. Rathkopf, Himisha Beltran, Peter S. Nelson, Felix Y. Feng, Scott M. Dehm, David Kosoff, Xiao X. Wei, Rana R. McKay, Shuang G. Zhao, Joshua M. Lang
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4410047379