<p>Supplementary Figure S1: UMAP view of NEN samples across diverse anatomic sites. Samples were unbiasedly clustered based off the top 1,000 variably expressed genes across samples and annotated using (A) DLL3 expression level and (B) anatomic site of origin.</p>
Abstract In recent years, liquid biopsies have emerged to provide improved insights on the current disease state of a patient, but they generally rely on a small number of protein markers from immunofluorescent staining or cell-free DNA, which provides limited information especially around drug targets. As more targeted therapies and immunotherapies enter the market, selecting the optimal drug target could improve patient outcomes drastically. One way to achieve this goal is to generate multi-omic datasets from the cancer cells in circulation, known as circulating tumor cells (CTCs). In this study, we collaborated with Astrin Biosciences and used their patented isolation technology to enrich CTCs with high purity from the blood of 15 metastatic castration resistant prostate cancer (mCRPC) patients. The enriched CTCs and a patient matched control sample consisting primarily of white blood cells were divided such that RNA and protein could be interrogated from the same patient. Label free unbiased mass spectrometry-based proteomics was used to identify the CTC-enriched proteins and marks the first time a global proteomic assessment has been performed on CTCs from cancer patients. Initial analysis identified over 1,500 peptides corresponding to greater than 500 proteins from each patients’ CTCs; including increased epithelial cell markers in the CTC-enriched sample and increased WBC markers in the control sample. Hallmarks of androgen response and detection of the androgen receptor were also identified in the CTC-enriched proteome. Overall, this study was designed to show the feasibility of obtaining large scale proteomic data from a liquid biopsy and future studies will provide more insight into the clinical utility of such data with a focus on cancer signaling mechanisms and biomarkers. Importantly, as we analyze more patients, we plan to compare the proteomic data with future RNA signatures across mCRPC patients to eventually be able to correlate them with drug response with the overall goal to improve treatment selection and patient outcomes. Citation Format: Justin M. Drake, Zoi Sychev, Alec Horrmann, Kaylee Judith Smith, Catalina Galeano-Garces, Ali Arafa, Nicholas Heller, Mahdi Ahmadi, Jiarong Hong, Megan Ludwig, Justin Hwang, Emmanuel S. Antonarakis, Jayant Parthasarathy. Unlocking the proteome of metastatic prostate cancer circulating tumor cells [abstract]. In: Proceedings of the AACR Special Conference: Advances in Prostate Cancer Research; 2023 Mar 15-18; Denver, Colorado. Philadelphia (PA): AACR; Cancer Res 2023;83(11 Suppl):Abstract nr PR013.
<p>Association of B7-H3 expression and common hallmark mRNA signatures. GSEA with functional oncogenic pathways on several tumor types with high and low B7-H3 expression. Normalized enrichment scores are displayed. FDR < 0.05 based on values between −3 and 3. Boxes marked with “X” indicate that the enrichment of the pathway did not meet thresholds of significance in the tumor type.</p>
Supplementary Figure from SPOP Mutations as a Predictive Biomarker for Androgen Receptor Axis–Targeted Therapy in <i>De Novo</i> Metastatic Castration-Sensitive Prostate Cancer
Increased mitochondrial function may render some cancers vulnerable to mitochondrial inhibitors. Since mitochondrial function is regulated partly by mitochondrial DNA copy number (mtDNAcn), accurate measurements of mtDNAcn could help reveal which cancers are driven by increased mitochondrial function and may be candidates for mitochondrial inhibition. However, prior studies have employed bulk macrodissections that fail to account for cell type-specific or tumor cell heterogeneity in mtDNAcn. These studies have often produced unclear results, particularly in prostate cancer. Herein, we developed a multiplex
