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
Verified date | September 2018 |
Source | Medical University of Graz |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Active, not recruiting |
Enrollment | 59 |
Est. completion date | August 31, 2021 |
Est. primary completion date | January 31, 2021 |
Accepts healthy volunteers | No |
Gender | Male |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - subject has proven histological diagnosis of prostate cancer - subject was treated with abiraterone and/or enzalutamide. Exclusion Criteria: - patient rejects the participation |
Country | Name | City | State |
---|---|---|---|
Austria | Institute of Human Genetics, Medical University of Graz | Graz |
Lead Sponsor | Collaborator |
---|---|
Medical University of Graz |
Austria,
Ulz P, Belic J, Graf R, Auer M, Lafer I, Fischereder K, Webersinke G, Pummer K, Augustin H, Pichler M, Hoefler G, Bauernhofer T, Geigl JB, Heitzer E, Speicher MR. Whole-genome plasma sequencing reveals focal amplifications as a driving force in metastatic prostate cancer. Nat Commun. 2016 Jun 22;7:12008. doi: 10.1038/ncomms12008. — View Citation
Ulz P, Heitzer E, Speicher MR. Co-occurrence of MYC amplification and TP53 mutations in human cancer. Nat Genet. 2016 Feb;48(2):104-6. doi: 10.1038/ng.3468. — View Citation
Ulz P, Thallinger GG, Auer M, Graf R, Kashofer K, Jahn SW, Abete L, Pristauz G, Petru E, Geigl JB, Heitzer E, Speicher MR. Inferring expressed genes by whole-genome sequencing of plasma DNA. Nat Genet. 2016 Oct;48(10):1273-8. doi: 10.1038/ng.3648. Epub 2016 Aug 29. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Nucleosome positioning patterns | Here, samples with increased z-score (z-score >5; corresponds to =10% ctDNA; modified Fast Aneuploidy Screening Test-Sequencing System (mFAST-SeqS)) will be sequenced with high coverage (70x) so that nucleosome positions can be extracted from the obtained sequences. As at TSSs (transcriptional start site), the nucleosome occupancy results in different read-depth coverage patterns in expressed and silent genes (Ulz et al., Nat Genet 2016), systematic maps of nucleosome positions in defined patients will be generated. | 3 years | |
Secondary | Focal amplifications in ctDNA | Mapping (absolute number and size) of recurrent focal amplifications/gained regions and identification of the driver genes within these amplicons by systematic cataloging of genes expressed in focal amplifications/gained regions. In order to facilitate the identification of focal amplifications we apply very stringent/conservative criteria regarding amplicon size and gene density, which we applied in previous publications (Ulz et al., Nat Commun 2016; Ulz, Heitzer, Speicher, Nat Genet 2016). | 3 years | |
Secondary | Prostate Cancer Panel | Characterization of mutation frequency of enriched prostate cancer genes using plasma-Seq (i.e. AKAP9, APC, AR, ATM, BRAF, BRCA1, BRCA2, CTNNB1, EGFR, ERG, FOXA1, GNAS, GRIN2A, HRAS, KRAS, MED12, MLL, MLL2, MLL3, MLLT3, NOTCH1, NRG1, PIK3CA, PIK3CB, PIK3R1, PTEN, RB1, SPOP, TMPRSS2, TP53, ZFHX3). | 3 years | |
Secondary | Clinico-pathological characteristics | Documentation of clinico-pathological characteristics (PSA, NSE; blood count; localization, number and size of metastases by imaging) including prior and subsequent therapies.To identify predictive/prognostic biomarkers, newly occurring genomic changes in the plasma DNA (see primary outcome and further secondary outcome measures) will be correlated with outcomes of given therapies. | 3 years | |
Secondary | Analyses of primary tumors | Measurement of copy number changes in primary tumors by next-generation sequencing, i.e. SCNA-seq, and RNA-Seq for comparison with the nucleosome positions, see above. | 3 years | |
Secondary | Buccal swap | Distinction germ line vs. somatic mutations | 3 years |
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