High Grade Ovarian Serous AdenocarcinomaDECIDERNCT04846933
Multi-layer Data to Improve Diagnosis, Predict Therapy Resistance and Suggest Targeted Therapies in HGSOC
A study testing WGS and RNA sequencing, circulating tumor DNA (ctDNA) and FDG PET/CT imaging in people with High Grade Ovarian Serous Adenocarcinoma and High Grade Serous Carcinoma, run by Turku University Hospital at 1 site in Finland.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 18 years and older, women only
- Conditions the study is for
- High Grade Ovarian Serous Adenocarcinoma, High Grade Serous Carcinoma
- What is being tested?
- WGS and RNA sequencing, circulating tumor DNA (ctDNA) and FDG PET/CT imaging
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 200 participants
- Where
- 1 siteFinland
- Study dates
- 1 Feb 2012to Dec 2029
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- Women only
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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
Who cannot join
- 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.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Finland1 site, 1 recruiting
- Recruiting
Turku University Hospital
Turku, 20520
Johanna Hynninen, 0505383554, johanna.hynninen@utu.fi
Johanna Hynninen, MD, PhD
About this study
Official title: Integration of Multiple Data Levels to Improve Diagnosis, Predict Treatment Response and Suggest Targets to Overcome Therapy Resistance in High-grade Serous Ovarian Cancer
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.
Read the detailed description
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.
- Being tested
- WGS and RNA sequencing, circulating tumor DNA (ctDNA), FDG PET/CT imaging
- Keywords
- chemoresistance, personalized medicine, WGS, ctDNA, digital pathology, FDG PET/CT, bioinformatics, AI, ovarian cancer, tumor evolution, artificial intelligence, organoid, DNA methylation, radiomics
- Medical subject headings
- Ovarian Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
WGS and RNA sequencingGenetic
circulating tumor DNA (ctDNA)Genetic
FDG PET/CT imagingDiagnostic test
| Study group | Role | What they receive |
|---|---|---|
| HGSOC patients treated with Neoadjuvant chemotherapy (NACT) | Other | 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. Receives: Genetic: WGS and RNA sequencing; Genetic: circulating tumor DNA (ctDNA); Diagnostic Test: FDG PET/CT imaging |
| HGSOC patients treated with primary debulking surgery (PDS) | Other | 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. Receives: Genetic: WGS and RNA sequencing; Genetic: circulating tumor DNA (ctDNA); Diagnostic Test: FDG PET/CT imaging |
What is being measured
The primary outcome is the main question the study is designed to answer.
Successful clinical translation
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.
Measured: 5 years
Successful prediction of patient outcome with AI methods
Proportion of patients whose disease outcome (PFS, OS) is predicted correctly with digital histopathology images, genomic data and routine laboratory values
Measured: 5 years
Secondary outcomes (4)
Successful validation of potentially druggable genetic alterations
Number of potentially druggable genetic alterations found and validated with in-vitro methods
Measured: 5 years
Successful prediction of genomic features from tumor histology
Number of genomic features that can be successfully recognized from tumor histology
Measured: 5 years
Prediction of primary treatment response from tumor histology using H&E stained whole slide images and AI-based methods
Number of patients whose outcome (primary therapy outcome, PFS) is predicted correctly
Measured: 5 years
Establishment of an updated version of Chemoresponse score (CRS) for measuring histological effect in tumor tissue after chemotherapy
Predictive power of the updated CRS at interval surgery is compared with traditional CRS
Measured: 5 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted15 Apr 2021
- Study start1 Feb 2012
- Primary completionDec 2027 (estimated)
- Study completionDec 2029 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (2)Papers the sponsor has linked to this study.
- Other trials for High Grade Ovarian Serous AdenocarcinomaStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Basic science
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Turku University Hospital
- Sponsor type
- Other government
- Collaborators
- University of Helsinki
- Responsible party
- Sponsor
- Investigators
- Sampsa Hautaniemi, DTech, Prof, Study director, University of HelsinkiJohanna Hynninen, MD, PhD, Principal investigator, Turku University Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04846933
- Sponsor's protocol ID
- TO7/003/21
- Other IDs
- 965193
- Acronym
- DECIDER
- Status last verified
- Jan 2025
- First submitted
- 12 Apr 2021
- Last updated
- 16 Jan 2025
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
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.
PubMed 40885189Lahtinen 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.
PubMed 37207655
Study at a glance
From the registry record, last updated by the sponsor on 16 Jan 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Integration of Multiple Data Levels to Improve Diagnosis, Predict Treatment Response and Suggest Targets to Overcome Therapy Resistance in High-grade Serous Ovarian Cancer
- ClinicalTrials.gov ID
- NCT04846933
- Acronym / sponsor ID
- DECIDER / TO7/003/21
- Keywords
- chemoresistance, personalized medicine, WGS, ctDNA, digital pathology, FDG PET/CT, bioinformatics, AI
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Turku University HospitalOther government
- Collaborators
- University of Helsinki
- Study start
- 1 Feb 2012 (actual)
- Primary completion
- Dec 2027 (estimated)
- Study completion
- Dec 2029 (estimated)
- First posted
- 15 Apr 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
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.
Study design
- Primary purpose
- Basic science
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| HGSOC patients treated with Neoadjuvant chemotherapy (NACT) | Other | Genetic: WGS and RNA sequencing, Genetic: circulating tumor DNA (ctDNA), Diagnostic Test: FDG PET/CT imagingDiagnostic 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. |
| HGSOC patients treated with primary debulking surgery (PDS) | Other | Genetic: WGS and RNA sequencing, Genetic: circulating tumor DNA (ctDNA), Diagnostic Test: FDG PET/CT imagingPDS 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. |
Who may qualify
- Ages
- 18 years and older
- Sex
- Female only
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (2 listed)
- 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
Key exclusion criteria (2 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| WGS and RNA sequencing | Genetic | HGSOC patients treated with Neoadjuvant chemotherapy (NACT), HGSOC patients treated with primary debulking surgery (PDS) |
| circulating tumor DNA (ctDNA) | Genetic | HGSOC patients treated with Neoadjuvant chemotherapy (NACT), HGSOC patients treated with primary debulking surgery (PDS) |
| FDG PET/CT imaging | Diagnostic test | HGSOC patients treated with Neoadjuvant chemotherapy (NACT), HGSOC patients treated with primary debulking surgery (PDS) |
Primary outcome
Successful clinical translation
Time frame: 5 years
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.
Successful prediction of patient outcome with AI methods
Time frame: 5 years
Proportion of patients whose disease outcome (PFS, OS) is predicted correctly with digital histopathology images, genomic data and routine laboratory values
4 secondary outcomes
Successful validation of potentially druggable genetic alterations
Time frame: 5 years
Successful prediction of genomic features from tumor histology
Time frame: 5 years
Prediction of primary treatment response from tumor histology using H&E stained whole slide images and AI-based methods
Time frame: 5 years
Establishment of an updated version of Chemoresponse score (CRS) for measuring histological effect in tumor tissue after chemotherapy
Time frame: 5 years
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 16 Jan 2025.
- Derived from this study: PubMed 40885189Afenteva 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.
- Derived from this study: PubMed 37207655Lahtinen 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.
- Project web siteLink provided by the sponsor.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Sampsa Hautaniemi, DTech, Prof study director
University of Helsinki
Johanna Hynninen, MD, PhD principal investigator
Turku University Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing WGS and RNA sequencing, circulating tumor DNA (ctDNA) and FDG PET/CT imaging in people with High Grade Ovarian Serous Adenocarcinoma and High Grade Serous Carcinoma, run by Turku University Hospital at 1 site in Finland.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 16 Jan 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Finland. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Johanna Hynninen (+358 50 5383554, johanna.hynninen@utu.fi), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Successful clinical translation (time frame: 5 years). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04846933, which also lists 2 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Jan 2025; AzTrials last refreshed its copy on 29 Oct 2026.