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

NCT ID: NCT04846933

Last Updated: 2025-01-16

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

200 participants

Study Classification

INTERVENTIONAL

Study Start Date

2012-02-01

Study Completion Date

2029-12-31

Brief Summary

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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.

Detailed Description

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Specific aims include:

* Develop tools and methods for personalized medicine approaches to cancer patients.
* Develop open-source visualization and interpretation software that facilitate clinical decision making via data integration and interpretation of multilevel data from cancer patients.
* Rapidly identify HGSOC patients who are likely to respond poorly to current therapies combining information on digitalized histopathology samples, genomic and clinical data with AI methods.
* Deploy validated personalized medicine treatment options using longitudinal measurement and ex vivo organoid cultures from cancer patients in clinical care.

Conditions

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High Grade Ovarian Serous Adenocarcinoma High Grade Serous Carcinoma

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

NONE

Study Groups

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HGSOC patients treated with Neoadjuvant chemotherapy (NACT)

Diagnostic laparoscopy followed with 3-4 cycles of platinum-taxane NACT and interval debulking surgery (IDS). Treatment response is monitored with FDG PET/CT. IDS is followed by standard adjuvant therapy (ESGO/ESMO + local guidelines).

Digital H\&E slides and WGS, RNAseq are obtained from performed surgeries including relapse operations/ascites drainages. Patients are followed with longitudinal ctDNA sampling.

Group Type OTHER

WGS and RNA sequencing

Intervention Type GENETIC

circulating tumor DNA (ctDNA)

Intervention Type GENETIC

FDG PET/CT imaging

Intervention Type DIAGNOSTIC_TEST

HGSOC patients treated with primary debulking surgery (PDS)

PDS is followed by standard adjuvant therapy (ESGO/ESMO + local guidelines). Digital H\&E slides and WGS, RNAseq obtained from PDS and possible relapse operations/ascites drainages when performed. Patients are followed with longitudinal ctDNA sampling.

Group Type OTHER

WGS and RNA sequencing

Intervention Type GENETIC

circulating tumor DNA (ctDNA)

Intervention Type GENETIC

FDG PET/CT imaging

Intervention Type DIAGNOSTIC_TEST

Interventions

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WGS and RNA sequencing

Intervention Type GENETIC

circulating tumor DNA (ctDNA)

Intervention Type GENETIC

FDG PET/CT imaging

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* 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

Exclusion Criteria

* Age \<18 years, too poor condition for active treatment (surgery, chemotherapy)
* FDG PET/CT scan is not performed for patients with diabetes mellitus and poor glucose balance.
Minimum Eligible Age

18 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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University of Helsinki

OTHER

Sponsor Role collaborator

Turku University Hospital

OTHER_GOV

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Sampsa Hautaniemi, DTech, Prof

Role: STUDY_DIRECTOR

University of Helsinki

Johanna Hynninen, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Turku University Hospital

Locations

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Turku University Hospital

Turku, , Finland

Site Status RECRUITING

Countries

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Finland

Central Contacts

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Johanna Hynninen

Role: CONTACT

+358 50 5383554

Sampsa Hautaniemi

Role: CONTACT

+358503364765

Facility Contacts

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Johanna Hynninen

Role: primary

0505383554

Johanna Hynninen, MD, PhD

Role: backup

References

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Afenteva D, Yu R, Rajavuori A, Salvadores M, Launonen IM, Lavikka K, Zhang K, Pirttikoski A, Marchi G, Jamalzadeh S, Isoviita VM, Li Y, Micoli G, Erkan EP, Falco MM, Ungureanu D, Lahtinen A, Oikkonen J, Hietanen S, Vaharautio A, Sur I, Virtanen A, Farkkila A, Hynninen J, Muranen TA, Taipale J, Hautaniemi S. Multi-omics analysis reveals the attenuation of the interferon pathway as a driver of chemo-refractory ovarian cancer. Cell Rep Med. 2025 Sep 16;6(9):102316. doi: 10.1016/j.xcrm.2025.102316. Epub 2025 Aug 29.

Reference Type DERIVED
PMID: 40885189 (View on PubMed)

Lahtinen A, Lavikka K, Virtanen A, Li Y, Jamalzadeh S, Skorda A, Lauridsen AR, Zhang K, Marchi G, Isoviita VM, Ariotta V, Lehtonen O, Muranen TA, Huhtinen K, Carpen O, Hietanen S, Senkowski W, Kallunki T, Hakkinen A, Hynninen J, Oikkonen J, Hautaniemi S. Evolutionary states and trajectories characterized by distinct pathways stratify patients with ovarian high grade serous carcinoma. Cancer Cell. 2023 Jun 12;41(6):1103-1117.e12. doi: 10.1016/j.ccell.2023.04.017. Epub 2023 May 18.

Reference Type DERIVED
PMID: 37207655 (View on PubMed)

Related Links

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Other Identifiers

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965193

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

TO7/003/21

Identifier Type: -

Identifier Source: org_study_id

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