Treatment resistance remains a major issue in aggressive prostate cancer (PC), and novel genomic biomarkers may guide better treatment selection. Circulating tumor DNA (ctDNA) can provide minimally invasive information about tumor genomes, but the genomic landscape of aggressive PC based on whole-genome sequencing (WGS) of ctDNA remains incompletely characterized. Thus, we here performed WGS of tumor tissue (n = 31) or plasma ctDNA (n = 10) from a total of 41 aggressive PC patients, including 11 hormone-naïve, 15 hormone-sensitive, and 15 castration-resistant patients. Across all variant types, we found progressively more altered tumor genomic profiles in later stages of aggressive PC. The potential driver genes most frequently affected by single-nucleotide variants or insertions/deletions included the known PC-related genes TP53, CDK12, and PTEN and the novel genes COL13A1, KCNH3, and SENP3. Etiologically, aggressive PC was associated with age-related and DNA repair-related mutational signatures. Copy number variants most frequently affected 14q11.2 and 8p21.2, where no well-recognized PC-related genes are located, and also frequently affected regions near the known PC-related genes MYC, AR, TP53, PTEN, and BRCA1. Structural variants most frequently involved not only the known PC-related genes TMPRSS2 and ERG but also the less extensively studied gene in this context, PTPRD. Finally, clinically actionable variants were detected throughout all stages of aggressive PC and in both plasma and tissue samples, emphasizing the potential clinical applicability of WGS of minimally invasive plasma samples. Overall, our study highlights the feasibility of using liquid biopsies for comprehensive genomic characterization as an alternative to tissue biopsies in advanced/aggressive PC.
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http://dx.doi.org/10.1002/ijc.34949 | DOI Listing |
Chem Biol Drug Des
December 2024
Department of Coloproctological Surgery, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China.
Pancreatic cancer (PC) is the leading cause of cancer-related death worldwide, and new biomarkers, therapeutic targets, and candidate drugs are needed. In this work, three PC-related microarray datasets (GSE183795, GSE28735, and GSE62452) were analyzed. The differentially expressed genes (DEGs) of PC were obtained with the limma package in R.
View Article and Find Full Text PDFJ Gastrointest Oncol
August 2024
Department of Hepatobiliary Surgery, Shandong Provincial Third Hospital, Shandong University, Jinan, China.
Curr Urol
June 2024
Department of Urology, York & Scarborough Teaching Hospitals NHS Foundation Trust, York, UK.
Prostate cancer (PC) is the most frequently diagnosed cancer and second leading cause of cancer-related deaths in men. It is heterogeneous, as is evident from the wide spectrum of therapeutic approaches. Most patients with PC are initially responsive to androgen deprivation therapy; however, the majority of cases are either hormone-sensitive PC or castration-resistant PC.
View Article and Find Full Text PDFFront Pharmacol
July 2024
College of Horticulture, Hunan Agricultural University, Changsha, China.
Pancreatic cancer (PC) is a particularly aggressive malignancy with limited therapeutic options. The search for innovative treatments has focused on traditional Chinese medicine, specifically . This research investigates 's active ingredients, potential targets, and underlying mechanisms in treating PC.
View Article and Find Full Text PDFHorm Metab Res
November 2024
Urology, The First Affiliated Hospital of Yangtze University, Jingzhou, China.
This study attempted to build a prostate cancer (PC) prognostic risk model with mitochondrial feature genes. PC-related MTGs were screened for Cox regression analyses, followed by establishing a prognostic model. Model validity was analyzed via survival analysis and receiver operating characteristic (ROC) curves, and model accuracy was validated in the GEO dataset.
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