Opendata, web and dolomites

HERCULES SIGNED

Comprehensive characterization and effective combinatorial targeting of high-grade serous ovarian cancer via single-cell analysis

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 HERCULES project word cloud

Explore the words cloud of the HERCULES project. It provides you a very rough idea of what is the project "HERCULES" about.

fresh    reduce    ovca    cancer    populations    error    marked    tumors    regimen    clinical    combinations    hercules    sorting    pharmaceutical    collected    cell    kills    cohorts    right    cytometry    levels    care    patient    inefficient    patients    trial    paves    move    lasting    serous    stratified    screening    tools    fluorescence    network    prediction    retrospective    experiments    combinatorial    models    prospective    health    metastatic    combination    validated    industry    treatments    regimens    medicine    followed    comprehensively    takes    anatomic    individual    kill    predictive    suggestions    multiple    grade    modalities    therapeutic    treatment    breakthrough    ex    decrease    suggest    translated    ovarian    characterise    clinically    data    multidisciplinary    lack    toward    hgs    disease    strategy    longitudinally    trials    kit    vivo    advantage    diagnostic    sites    subpopulations    systematic    deaths    drug    genetic    specimens    expensive    benefit    predict    mass    transcriptomics    biomarker    activated    single    women    innovative    commercialise    actionable    prospectively    efforts   

Project "HERCULES" data sheet

The following table provides information about the project.

Coordinator
HELSINGIN YLIOPISTO 

Organization address
address: YLIOPISTONKATU 3
city: HELSINGIN YLIOPISTO
postcode: 14
website: www.helsinki.fi

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Finland [FI]
 Project website http://project-hercules.eu/
 Total cost 5˙994˙868 €
 EC max contribution 5˙994˙868 € (100%)
 Programme 1. H2020-EU.3.1.1. (Understanding health, wellbeing and disease)
 Code Call H2020-PHC-2015-two-stage
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    HELSINGIN YLIOPISTO FI (HELSINGIN YLIOPISTO) coordinator 2˙444˙812.00
2    TURUN YLIOPISTO FI (Turku) participant 999˙211.00
3    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) participant 566˙969.00
4    INSTITUT PASTEUR FR (PARIS CEDEX 15) participant 360˙101.00
5    ISTITUTO SUPERIORE DI SANITA IT (ROMA) participant 356˙250.00
6    UNIVERSITA DEGLI STUDI DI TRIESTE IT (TRIESTE) participant 350˙000.00
7    KAROLINSKA INSTITUTET SE (STOCKHOLM) participant 332˙712.00
8    VARSINAIS-SUOMEN SAIRAANHOITOPIIRIN KUNTAYHTYMA FI (TURKU) participant 297˙312.00
9    AB ANALITICA SRL IT (PADOVA) participant 287˙500.00

Map

 Project objective

The goal of this multidisciplinary project is to comprehensively characterise high-grade serous ovarian cancer (HGS-OvCa) at single-cell level, identify the best combination of drug combination to kill HGS-OvCa populations and commercialise a predictive biomarker kit for finding the right therapeutic regimen to the right patient.

This project takes an advantage on prospectively and longitudinally collected fresh sample specimens from multiple anatomic sites of HGS-OvCa patients with metastatic disease. Fluorescence activated cell sorting and recently developed mass cytometry are used to identify subpopulations in HGS-OvCa tumors. This is followed by single-cell analysis at genetic and transcriptomics levels, and ex vivo drug screening experiments. These data will be used to establish network models to predict the most effective combinatorial treatments. The key results will be validated with existing HGS-OvCa data together with prospective and retrospective cohorts and in vivo models. The clinically most actionable treatment suggestions from our modelling efforts will be translated to HGS-OvCa patient care.

Ovarian cancer kills more than 40,000 women in Europe every year due to lack of effective and long-lasting therapeutic regimens. HERCULES presents an innovative strategy to suggest effective treatments that lead to a marked decrease in ovarian cancer deaths and reduce the number of expensive but inefficient treatments. Our approach paves the way to move beyond the current trial-and-error clinical assessment of drug combinations toward more systematic prediction of the most effective drug combinations for each patient. The proposed approach will be a major breakthrough in systems medicine and will benefit individual ovarian cancer patients and the health-care system through more effective treatments, and the diagnostic and pharmaceutical industry through tools for better stratified clinical trials, and novel treatment and diagnostic modalities.

 Deliverables

List of deliverables.
Evaluation of flow cytometry and imaging-based clonal drug response assays Demonstrators, pilots, prototypes 2019-05-28 17:19:33
One or more software components that automate import and integration of modelling data into Cytoscape Other 2019-05-24 19:13:12
Project presentation produced Documents, reports 2019-05-24 16:49:29
Knowledge Management System up and running Websites, patent fillings, videos etc. 2019-05-24 16:49:28
Project Office with Operational Project Manager in place and Project Management Committee Websites, patent fillings, videos etc. 2019-05-24 16:49:28
A workflow for obtaining consents from advanced HGS-OvCa patients, and for collecting samples from the patients Documents, reports 2019-05-24 16:49:29
Data Management Plan Open Research Data Pilot 2019-05-24 16:49:28

Take a look to the deliverables list in detail:  detailed list of HERCULES deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Emilia Kozłowska, Anniina Färkkilä, Tuulia Vallius, Olli Carpén, Jukka Kemppainen, Seija Grénman, Rainer Lehtonen, Johanna Hynninen, Sakari Hietanen, Sampsa Hautaniemi
Mathematical Modeling Predicts Response to Chemotherapy and Drug Combinations in Ovarian Cancer
published pages: 4036-4044, ISSN: 0008-5472, DOI: 10.1158/0008-5472.can-17-3746
Cancer Research 78/14 2019-05-22
2018 J. Hynninen, M. Laasik, T. Vallius, J. Kemppainen, S. Grönroos, J. Virtanen, J. Casado, S. Hautaniemi, S. Grenman, M. Seppänen, A. Auranen
Clinical Value of 18 F-fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Response Evaluation after Primary Treatment of Advanced Epithelial Ovarian Cancer
published pages: 507-514, ISSN: 0936-6555, DOI: 10.1016/j.clon.2018.04.007
Clinical Oncology 30/8 2019-05-22
2018 Antti Häkkinen, Amjad Alkodsi, Chiara Facciotto, Kaiyang Zhang, Katja Kaipio, Sirpa Leppä, Olli Carpén, Seija Grénman, Johanna Hynninen, Sakari Hietanen, Rainer Lehtonen, Sampsa Hautaniemi
Identifying differentially methylated sites in samples with varying tumor purity
published pages: 3078-3085, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/bty310
Bioinformatics 34/18 2019-05-22
2018 Iryna Nikolayeva, Oriol Guitart Pla, Benno Schwikowski
Network module identification—A widespread theoretical bias and best practices
published pages: 19-25, ISSN: 1046-2023, DOI: 10.1016/j.ymeth.2017.08.008
Methods 132 2019-05-22

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "HERCULES" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "HERCULES" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.1.1.)

ARREST-TB (2019)

Accurate, Rapid, Robust and Economical diagnostic technoliogieS for Tuberculosis

Read More  

BIND (2020)

Brain Involvement iN Dystrophinopathies

Read More  

BRAINTIME (2020)

Molecular atlas of the brain across the human lifespan

Read More