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
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Basic Information
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RECRUITING
NA
200 participants
INTERVENTIONAL
2012-02-01
2029-12-31
Brief Summary
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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.
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Detailed Description
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* 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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Study Design
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NON_RANDOMIZED
PARALLEL
BASIC_SCIENCE
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.
WGS and RNA sequencing
circulating tumor DNA (ctDNA)
FDG PET/CT imaging
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.
WGS and RNA sequencing
circulating tumor DNA (ctDNA)
FDG PET/CT imaging
Interventions
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WGS and RNA sequencing
circulating tumor DNA (ctDNA)
FDG PET/CT imaging
Eligibility Criteria
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Inclusion Criteria
* Ability to understand and the willingness to sign a written informed consent document
Exclusion Criteria
* FDG PET/CT scan is not performed for patients with diabetes mellitus and poor glucose balance.
18 Years
FEMALE
No
Sponsors
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University of Helsinki
OTHER
Turku University Hospital
OTHER_GOV
Responsible Party
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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
Countries
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Central Contacts
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Facility Contacts
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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.
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.
Related Links
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Project web site
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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