Prostatic Neoplasms Clinical Trial
Official title:
Analysis of Androgene Receptors Axis and DNA Damage Repair Genes From Plasma DNA (ctDNA) in Patients With Prostate Cancer
In this project, we would like to focus on castration-sensitive prostate cancer (CRPC). This
is a highly variable clinical picture with differentiated and burdening symptoms. The
clinical parameters used to estimate the prognosis have so far only shown a very limited
valence; genetic markers have so far only rarely been investigated.
In the course of our preliminary investigations, we were already able to isolate 189 plasma
samples from 59 patients with metastatic prostate cancer. These samples are prepared by
highly innovative techniques, e.g. "whole genome sequencing", in order to gain comprehensive
insights into the spectrum of genetic changes under therapy and the associated tumor
evolution. These results should be compared with the genetic material of the respective
prostate tumors, which originate from previous operations. This highly comprehensive data,
which will yield results on copy number changes, mutations, and gene expression, will allow
analysis of signaling pathways of unprecedented resolution to increase the efficacy of
targeted therapies in patients and minimize the burden of non-effective therapy side effects.
The investigators collected 189 plasma samples from 59 patients with metastasized CRPC
treated with abiraterone/enzalutamide. In order to stratify plasma DNA samples based on the
presence of low (i.e. z-score ≤5; corresponds to <10% ctDNA) versus high (z-score >5;
corresponds to ≥10% ctDNA) genomic complexity in ctDNA the investigators employed the
modified Fast Aneuploidy Screening Test-Sequencing System (mFAST-SeqS), which provides a
plasma based marker of aneuploidy (z-score). Altogether 106 plasma samples with a low z-score
will be evaluated only with the AVENIO ctDNA Expanded Kit, which is capable of detecting
mutations with VAFs as low as 0.1% . From the 83 plasma samples with increased z-score will
be sequenced with high coverage (70x) so that both mutations and nucleosome positions can be
extracted from the obtained sequences. With the other 32 high z-score samples plasma-Seq will
be conducted to establish genome-wide copy number profiles and 31 prostate cancer genes will
be enriched to screen for mutations in these genes.
At present, there is no evidence what parameters should be used to decide which treatment
options are best for metastatic prostate cancer patients. The suggested innovative
technologies, i.e. nucleosome position mapping and gene expression analyses will provide
systematic maps of nucleosome positions. The sequencing of plasma samples with 70x will
provide in addition a comprehensive view on the mutation spectrum in metastatic prostate
cancer. By inclusion of primary tumor analyses, an unprecedented view on prostate cancer
genome Evolution will be obtained. Overall, the comprehensive data set (copy number changes,
mutations, gene expression) will allow pathway analyses with unprecedented resolution.
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