MedPath

Development of Diagnostics and Treatment of Urological Cancers

Not Applicable
Recruiting
Conditions
Urothelial Carcinoma
Kidney Cancer
Testicular Cancer
Penile Cancer
Prostate Carcinoma
Registration Number
NCT02994758
Lead Sponsor
Helsinki University Central Hospital
Brief Summary

The purpose of the study is to evaluate whether state-of-the-art technologies such and next generation sequencing and drug sensitivity and resistance testing of patient derived tumour tissue can facilitate research translation and improve outcome of urologic cancers.

Detailed Description

Access to high-quality clinical patient material (e.g. tissue of primary tumor and metastasis, plasma and urine) linked to comprehensive registry and clinical data and molecular characterization of the patient material using state-of-the-art technologies (e.g. NGS, transcriptomics, imaging, DSRT) will facilitate a more rapid translation of basic research innovations into clinical care (diagnostics, imaging, therapeutics) and result in improved outcome of patients suffering from urologic cancers ("personalized medicine").

The principal aim of the project is to establish a framework and infrastructure for the systematic collection and interpretation of biological patient samples. Similarly, the investigators aim to establish the format how the related clinical and research data can be made readily accessible for both clinicians and researchers without compromising patient privacy. The key objectives of the project are to facilitate research translation and to improve outcome of urologic cancers.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
100
Inclusion Criteria
  1. The patient is able to provide written informed consent and is at least 18 years of age
  2. The patient must have a verified diagnosis of an urologic cancer by a board-certified clinician
Exclusion Criteria
  1. The patient is not willing to provide a written informed consent
  2. The patient has a severe psychiatric illness, imprisonment or mental impairment inflicting on ability to give informed consent

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Primary Outcome Measures
NameTimeMethod
Successful clinical translationUp to 24 months

The magnitude of successful clinical translation is measured by the number of times project-derived personalized medicine has impacted patients care by application of novel and existing biomarkers and therapies (e.g. sequencing, DSRT) by 2020

Secondary Outcome Measures
NameTimeMethod
Successful pre-clinical translationUp to 24 months

Successful pre-clinical translation, the magnitude of which is measured by the number of times project-derived potential druggable targets or able to re-purpose treatment options were identified within the project by 2020.

Translation of preclinical data into clinically useful data.Up to 24 months

Translation of preclinical data into clinically useful data. The success of which is measured by the number of times preclinical data (e.g. sequencing, DSRT) was transformed into clinically useful form within 4 weeks from the time the initial sampling of the specimen was done.

Number of representative cell models developed from clinical samples.Up to 24 months

Representativeness is based on the genetics of the cell model and the parental tumor

Trial Locations

Locations (1)

Helsinki University Hospital

🇫🇮

Helsinki, Uusimaa, Finland

Helsinki University Hospital
🇫🇮Helsinki, Uusimaa, Finland
Antti s Rannikko, MD, PhD
Contact
antti.rannikko@hus.fi
Östling Päivi, PhD
Sub Investigator
Tuomas Mirtti, PhD
Sub Investigator
Petri Bono, PhD
Sub Investigator
Harry Nisen, PhD
Sub Investigator
Katriina Peltola, PhD
Sub Investigator
Olli Kallioniemi, PhD
Sub Investigator
Jukka Sairanen, PhD
Sub Investigator
Petrus Järvinen, PhD
Sub Investigator
Henrikki Santti, PhD
Sub Investigator
Anssi Petas, PhD
Sub Investigator
Mika Matikainen, PhD
Sub Investigator
Riikka Järvinen, PhD
Sub Investigator
Hanna Vasarainen, PhD
Sub Investigator
Tuomas Kilpeläinen, PhD
Sub Investigator
Mauri Kouri, PhD
Sub Investigator
Tapio Utriainen, PhD
Sub Investigator
Kimmo Taari, PhD
Sub Investigator
Vesa Rahkama, MSc
Sub Investigator
Andrew Erickson, MSc
Sub Investigator
Saeed Khalid, MSc
Sub Investigator
Maija Puhka, PhD
Sub Investigator
Vilja Pietiäinen, PhD
Sub Investigator
Lassi Paavolainen, MSc
Sub Investigator
Dmitry Bykhov, MSc
Sub Investigator
Teijo Pellinen, PhD
Sub Investigator
Sami Blom, MSc
Sub Investigator
Taija af Hällström, PhD
Sub Investigator
Kevin Sandeman, MD
Sub Investigator
Anu Kenttämies, PhD
Sub Investigator
Outi Oksanen, MD
Sub Investigator
Jarkko Pajarinen, PhD
Sub Investigator
Jari Siironen, PhD
Sub Investigator

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.