Actively Recruiting

Phase Not Applicable
Age: 18Years +
FEMALE
NCT04846933

Multi-layer Data to Improve Diagnosis, Predict Therapy Resistance and Suggest Targeted Therapies in HGSOC

Led by Turku University Hospital · Updated on 2025-01-16

200

Participants Needed

1

Research Sites

930 weeks

Total Duration

On this page

Sponsors

T

Turku University Hospital

Lead Sponsor

U

University of Helsinki

Collaborating Sponsor

AI-Summary

What this Trial Is About

Chemotherapy resistance is the greatest contributor to mortality in advanced cancers and severe challenges remain in finding effective treatment modalities to cancer patients with metastasized and relapsed disease. High-grade serous ovarian cancer (HGSOC) is typically diagnosed at a stage where the disease is already widely spread to the abdomen and current standard of practice treatment consists of surgery followed by platinum-taxane based chemotherapy and maintenance therapy. While 90% of HGSOC patients show no clinically detectable signs of cancer after surgery and chemotherapy, only 43% of the patients are alive five years after diagnosis because of chemoresistant cancer. This prospective, observational trial focuses on revealing major mechanisms causing chemoresistance in HGSOG patients and derive personalized treatment regimens for chemotherapy resistant HGSOC patients. The investigators recruit newly diagnosed advanced stage HGSOC patients who are then thoroughly followed during their cancer treatment. Longitudinal sampling includes digitalized H\&E stained histology slides mainly collected during routine diagnostics, fresh tumor \& ascites samples for next-generation sequencing/proteomics (WGS, RNA-seq, DNA-methylation, ATAC-seq, ChIP-seq, mass cytometry, etc.) and ex vivo experiments, plasma samples for circulating tumor DNA (ctDNA) analyses. Broad range of clinical parameters such as laboratory and radiologic parameters (e.g., FDG PET/CT), given cancer treatments and their outcomes are collected. Radiomic analyses are performed to PET/CT and CT scans. Long-term patient derived organoid lines are established from fresh tumor tissues. Actionable genomic alterations are searched. The general objective is to establish a clinically useful precision oncology approach based on multi-level data collected in longitudinal setting, and translate the most potent and validated discoveries into clinical use. DECIDER project will produce AI-powered diagnostic tools, cutting-edge software platforms for clinical decision-making, novel data analysis \& integration methods, and high-throughput ex vivo drug screening approaches.

CONDITIONS

Official Title

Multi-layer Data to Improve Diagnosis, Predict Therapy Resistance and Suggest Targeted Therapies in HGSOC

Who Can Participate

Age: 18Years +
FEMALE

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients with a suspected ovarian cancer diagnosis treated at the Turku University Hospital
  • Ability to understand and the willingness to sign a written informed consent document
Not Eligible

You will not qualify if you...

  • Age under 18 years or too poor condition for active treatment such as surgery or chemotherapy
  • FDG PET/CT scan not performed if patient has diabetes mellitus with poor glucose balance

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

1
2
3
+1

Trial Site Locations

Total: 1 location

1

Turku University Hospital

Turku, Finland, 20520

Actively Recruiting

Loading map...

Research Team

J

Johanna Hynninen

CONTACT

S

Sampsa Hautaniemi

CONTACT

How is the study designed?

Study Type

INTERVENTIONAL

Masking

NONE

Allocation

NON_RANDOMIZED

Model

PARALLEL

Primary Purpose

BASIC_SCIENCE

Number of Arms

2

Not the Right Trial for You?

Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.

Already have an account? Log in here