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CancerFingerPrints SIGNED

Identification of nano-mechanical fingerprints as a biomarker for cancer treatment prognosis

Total Cost €


EC-Contrib. €






 CancerFingerPrints project word cloud

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

gain    tool    monitor    improves    identification    fibrotic    era    predict    compromised    considerably    fight    types    stiffen    fingerprints    techniques    normal    force    differ    patients    softening    outcomes    stress    atomic    software    quantify    grow    ing    biomarker    structural    poor    enhances    forces    chemotherapy    introduction    blood    chemotherapies    leads    standard    efficacy    anti    components    drug    prediction    cancers    uses    nanomechanical    personalized    tumors    intratumoral    therapy    mechanical    treatments    deteriorates    sarcomas    microscopy    commercial    vessels    demonstrated    drugs    tumor    caused    biomarkers    consequently    compression    alleviation    vessel    heterogeneous    therapies    treatment    becomes    stiffer    agents    breast    patient    stiffening    tissue    strategies    progression    led    strategy    afm    therapeutic    adverse    varies    host    benefit    solid    uniform    cancer   

Project "CancerFingerPrints" data sheet

The following table provides information about the project.


Organization address
postcode: 1678

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 Cyprus [CY]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-PoC
 Funding Scheme ERC-POC
 Starting year 2019
 Duration (year-month-day) from 2019-05-01   to  2020-10-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF CYPRUS CY (NICOSIA) coordinator 150˙000.00


 Project objective

In the fight against cancer, it is well recognized that tumors are highly heterogeneous and they might differ considerably not only between tumors types but also among tumors of the same type or even for the same tumor during progression. As a result, the efficacy of standard cancer chemotherapies varies, and while some patients respond to a particular treatment, other patients do not gain any benefit and in many cases, the condition of the patient deteriorates due to adverse effects. Consequently, crucial in cancer therapy is the prediction of a patient’s response to treatment. Failure of standard therapies has led to the introduction of a new era of personalized, patient-specific treatments, which are based on the identification of biomarkers that characterize the state of a particular tumor. Many solid tumors (e.g., breast cancers and sarcomas) stiffen as they grow in a host’s normal tissue. Stiffening is caused by an increase in the structural components of the tumor. As tumor tissue becomes stiffer, mechanical forces are generated within the tumor, that cause the compression of intratumoral blood vessels, resulting in compromised vessel functionality, which leads to poor drug delivery and therapeutic outcomes. Recently, it has been demonstrated that “stress-alleviation” strategy, which uses anti-fibrotic agents to promote tumor softening, improves uniform delivery of drugs and enhances therapy. Here, we propose the use of state-of-the-art Atomic Force Microscopy-AFM techniques for the development of a NanoMechanical biomarker, which will quantify the mechanical FingerPrints of Cancer. This biomarker will aim to: (i)predict the patient’s response to treatment with chemotherapy and (ii)monitor treatment outcomes, in the case of strategies that target tumor mechanical properties (e.g., stress-alleviation therapy). Furthermore, we propose to develop an AFM-based software product to be used as a commercial tool for the measurement of the NanoMechanical biomarker.

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

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