Opendata, web and dolomites

MYCLASS SIGNED

Towards prevention, early diagnosis, and noninvasive treatment of uterine leiomyomas through molecular classification

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 MYCLASS project word cloud

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

reaching    diagnosis    uterine    abdominal    contributes    substantial    woman    driving    class    molecular    layers    hypothesize    methylome    throughput    premenopausal    benefit    clues    considering    hundreds    routine    genesis    erc    efforts    genome    detection    confer    tools    breakthrough    biomarkers    every    scientific    variation    biology    severely    women    copy    ul    clinicopathological    classification    anticipate    tumor    describe    light    millions    wall    expression    biological    clinicopathologically    drugs    invasive    lay    sequence    life    leiomyomas    myomas    hypotheses    point    treatment    burden    bleeding    stratified    subclass    predisposing    multiple    emerge    compounds    shed    suffers    hereditary    examine    subclasses    mechanism    excessive    effect    integration    genetic    uls    data    benign    predisposition    health    understudied    smooth    create    pain    susceptibility    basis    muscle    gene    profiles    fourth    hysterectomy    variants    somewhat    infertility    tumors    existence    mechanisms    fibroids    symptoms   

Project "MYCLASS" 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]
 Total cost 2˙499˙099 €
 EC max contribution 2˙499˙099 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-AdG
 Funding Scheme ERC-ADG
 Starting year 2016
 Duration (year-month-day) from 2016-06-01   to  2021-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    HELSINGIN YLIOPISTO FI (HELSINGIN YLIOPISTO) coordinator 2˙499˙099.00

Map

 Project objective

Every fourth woman suffers from uterine leiomyomas (ULs) – benign tumors of the uterine smooth muscle wall - at some point in premenopausal life. ULs, also called myomas or fibroids, cause a substantial health burden through symptoms such as excessive uterine bleeding, abdominal pain and infertility. These tumors are the most common cause of hysterectomy. Considering the impact that ULs have to women’s health, they are severely understudied. Our breakthrough work has shed important new light on the biology and genesis of ULs. In this ERC proposal we hypothesize that ULs can emerge through several distinct mechanisms and anticipate that each mechanism contributes to somewhat different tumor biology, clinicopathological features, and response to treatment. Also, we hypothesize that predisposing genetic variants may confer susceptibility to a particular UL subclass. To test these hypotheses, we shall create multiple layers of high-throughput data on clinicopathologically characterized ULs, including copy number variation, whole genome sequence, gene expression, and methylome profiles. Integration of these data should establish the existence and key characteristics of the different UL subclasses. Finally, we shall examine the effect of currently used drugs as well as new lead compounds in response to treatment, stratified per UL subclass. These efforts will 1) provide biological insight into molecular mechanisms driving the UL genesis and lay the scientific basis of their molecular classification, 2) describe the key characteristics of each class, 3) provide key biomarkers and molecular tools for routine diagnosis of UL subclasses, as well as clues to their targeted treatment, and 4) produce tools for detection of hereditary predisposition to ULs. This ERC project will be an important step towards non-invasive management of ULs. Reaching this goal would benefit hundreds of millions of women.

 Publications

year authors and title journal last update
List of publications.
2018 Riku Katainen, Iikki Donner, Tatiana Cajuso, Eevi Kaasinen, Kimmo Palin, Veli Mäkinen, Lauri A. Aaltonen, Esa Pitkänen
Discovery of potential causative mutations in human coding and noncoding genome with the interactive software BasePlayer
published pages: 2580-2600, ISSN: 1754-2189, DOI: 10.1038/s41596-018-0052-3
Nature Protocols 13/11 2019-10-29
2018 Riku Katainen, Iikki Donner, Tatiana Cajuso, Eevi Kaasinen, Kimmo Palin, Veli Mäkinen, Lauri A. Aaltonen, Esa Pitkänen
Discovery of potential causative mutations in human coding and noncoding genome with the interactive software BasePlayer
published pages: 2580-2600, ISSN: 1754-2189, DOI: 10.1038/s41596-018-0052-3
Nature Protocols 13/11 2019-06-13
2018 Niko Välimäki, Heli Kuisma, Annukka Pasanen, Oskari Heikinheimo, Jari Sjöberg, Ralf Bützow, Nanna Sarvilinna, Hanna-Riikka Heinonen, Jaana Tolvanen, Simona Bramante, Tomas Tanskanen, Juha Auvinen, Outi Uimari, Amjad Alkodsi, Rainer Lehtonen, Eevi Kaasinen, Kimmo Palin, Lauri A Aaltonen
Genetic predisposition to uterine leiomyoma is determined by loci for genitourinary development and genome stability
published pages: , ISSN: 2050-084X, DOI: 10.7554/elife.37110
eLife 7 2019-06-13
2018 Niko Välimäki, Heli Kuisma, Annukka Pasanen, Oskari Heikinheimo, Jari Sjöberg, Ralf Bützow, Nanna Sarvilinna, Hanna-Riikka Heinonen, Jaana Tolvanen, Simona Bramante, Tomas Tanskanen, Juha Auvinen, Outi Uimari, Amjad Alkodsi, Rainer Lehtonen, Eevi Kaasinen, Kimmo Palin, Lauri A Aaltonen
Genetic predisposition to uterine leiomyoma is determined by loci for genitourinary development and genome stability
published pages: , ISSN: 2050-084X, DOI: 10.7554/elife.37110
eLife 7 2019-05-25

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MYCLASS" 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 "MYCLASS" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

AllergenDetect (2019)

Comprehensive allergen detection using synthetic DNA libraries

Read More  

RESOURCE Q (2019)

Efficient Conversion of Quantum Information Resources

Read More  

AUTOMATION (2018)

AUTOMATION AND INCOME DISTRIBUTION: A QUANTITATIVE ASSESSMENT

Read More