Skip to main content
European Commission logo
Deutsch Deutsch
CORDIS - Forschungsergebnisse der EU
CORDIS
CORDIS Web 30th anniversary CORDIS Web 30th anniversary

taRgeted thErapy for adVanced colorEctal canceR paTients

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

REVERT Website

A REVERT website will be designed and maintained, providing open-access to appropriate project information, learning experience for visitors including slides, and publications.

"""First study subject"" approvals package"

The approval package will include1 Final version of REVERT study protocol2 Registration number of clinical study in EudraCT registry that will allow posting of study results3 Approvals from ethics committees and national competent authorities for enrolment of first subject in at least one clinical centre4 Incidental findings policyThe PI will notify to the central IRB the actual beginning of the clinical study represented by the first patient enrolled

Dissemination and communication activity report 1

Dissemination and communication activity reports will be released at M12 and yearly, thereafter, for the entire project life.

Report on SOPs for sample collection, processing and storage, including indicators to monitor quality of samples

Standard operation procedures (SOPs) for samples collection, processing and storage may differ in relation to the type of biomarker to investigate. The SOPs will be designed on the basis of both the biochemical characteristics and the expected grade of stability of every biomarker (or biomarker family). The reference criterion for the validation and the optimization of the SOPs will be the grade of conservation of the analyte through the process. Therefore, when requested by fragile biomarkers, SOPs will be delivered in association with appropriate criteria to assess the stability of the analyte.

Production of shared procedures and choice of the QC material(s) for quality monitoring of analytical phases

Suitable quality control materials will be tested for each marker in comparison to the real matrix according to a standardized procedure, that will be matter of a deliverable. A directory of quality control material(s) recommended for every biomarker will be also delivered. A directory of biomarker(s) for which no commercially available/reliable quality control material(s) will be produced.

Dissemination and communication activity report 2

Dissemination and communication activity reports will be released at M12 and yearly thereafter for the entire project life

Dissemination and communication activity report 3

Dissemination and communication activity reports will be released at M12 and yearly thereafter for the entire project life

FAIR Data management Plan (DMP)

A document structured in various chapters (following the EU instructions) dedicated to: Data Summary; FAIR principles; Resources; Data security; Ethical aspects and other national/funder/sectorial/departmental procedures for data management in use.

Veröffentlichungen

Gene-Mutation-Based Algorithm for Prediction of Treatment Response

Autoren: Johnson, Heather; El-Schich, Zahra; Amjad, Ali; Zhang, Xuhui; Simoulis, Athanasios; Gjörloff Wingren, Anette; Jenny, Persson
Veröffentlicht in: Cancers, Ausgabe Vol. 14, nr 8, artikel-id 2045, 2022, ISSN 2072-6694
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14082045

Red-Emitting Polymerizable Guanidinium Dyes as Fluorescent Probes in Molecularly Imprinted Polymers for Glyphosate Detection

Autoren: Martha Kimani; Víctor Pérez-Padilla; Virginia Valderrey; Kornelia Gawlitza; Knut Rurack
Veröffentlicht in: Chemosensors, Ausgabe 10(3), 2022, Seite(n) 99, ISSN 2227-9040
Herausgeber: MDPI
DOI: 10.3390/chemosensors10030099

Bacterial protein MakA causes suppression of tumour cell proliferation via inhibition of PIP5K1α/Akt signalling

Autoren: Toh, Eric; Baryalai, Palwasha; Nadeem, Aftab; Aung, Kyaw Min; Chen, Sa;Persson, Karina;Persson, Jenny L.; Uhlin, Be
Veröffentlicht in: Cell Death and Disease, 2022, ISSN 2041-4889
Herausgeber: Nature Publishing Group
DOI: 10.1038/s41419-022-05480-7

Applications of Tumor Cells in an In Vitro 3D Environment

Autoren: Sylwia Hasterok, Anna Gustafsson, Anette Gjörloff Wingren
Veröffentlicht in: Applied Sciences, Ausgabe 13, 2023, Seite(n) 10349, ISSN 2076-3417
Herausgeber: MDPI
DOI: 10.3390/app131810349

Is High Expression of Claudin-7 in Advanced Colorectal Carcinoma Associated with a Poor Survival Rate? A Comparative Statistical and Artificial Intelligence Study.

Autoren: Ianole V, Danciu M, Volovat C, Stefanescu C, Herghelegiu CP, Leon F, Iftene A, Cusmuliuc CG, Toma B, Drug V, Ciobanu Apostol DG
Veröffentlicht in: Cancers, Ausgabe 14(12):2915, 2022, ISSN 2072-6694
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14122915

Potential Utility of Induced Translocation of Engineered Bacteria as a Therapeutic Agent for Mounting a Personalized Neoantigen‐Based Tumor Immune Response

Autoren: Ginés Luengo-Gil; Pablo Conesa-Zamora
Veröffentlicht in: Crossref, Ausgabe 2, 2021, ISSN 2056-6646
Herausgeber: Wiley-VCH
DOI: 10.1002/gch2.202100051

Role of Non-Coding RNAs in Colorectal Cancer: Focus on Long Non-Coding RNAs

Autoren: Matteo Lulli, Cristina Napoli, Ida Landini, Enrico Mini, Andrea Lapucci
Veröffentlicht in: International Journal of Molecular Sciences, Ausgabe 23, 2024, Seite(n) 13431, ISSN 1422-0067
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms232113431

Evaluating Explainable Machine Learning Models for Clinicians

Autoren: Noemi Scarpato, Aria Nourbakhsh, Patrizia Ferroni, Silvia Riondino, Mario Roselli, Francesca Fallucchi, Piero Barbanti, Fiorella Guadagni, Fabio Massimo Zanzotto
Veröffentlicht in: Cognitive Computation, Ausgabe 16, 2024, Seite(n) 1436-1446, ISSN 1866-9956
Herausgeber: Springer Verlag
DOI: 10.1007/s12559-024-10297-x

Immune Response in Vitamin D Deficient Metastatic Colorectal Cancer Patients: A Player That Should Be Considered for Targeted Vitamin D Supplementation

Autoren: Cristina Morelli, Michela Rofei, Silvia Riondino, Daniela Fraboni, Francesco Torino, Augusto Orlandi, Manfredi Tesauro, Giovanna Del Vecchio Blanco, Massimo Federici, Hendrik-Tobias Arkenau, Vincenzo Formica, Mario Roselli
Veröffentlicht in: Cancers (Basel), 2022, ISSN 2072-6694
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14112594

XAI Unveiled: Revealing the Potential of Explainable AI in Medicine - A Systematic Review

Autoren: Noemi Scarpato, Patrizia Ferroni, Fiorella Guadagni
Veröffentlicht in: IEEE Access, 2024, Seite(n) 1-1, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3514197

SIBILA: Automated Machine-Learning-Based Development of Interpretable Machine-Learning Models on High-Performance Computing Platforms

Autoren: Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez
Veröffentlicht in: AI, Ausgabe 5, 2024, Seite(n) 2353-2374, ISSN 2673-2688
Herausgeber: MDPI
DOI: 10.3390/ai5040116

Global Methylome Scores Correlate with Histological Subtypes of Colorectal Carcinoma and Show Different Associations with Common Clinical and Molecular Features.

Autoren: María Del Carmen Turpin-Sevilla; Fernando Perez-Sanz; José García-Solano; Patricia Sebastian-Leon; Javier Trujillo-Santos; Pablo Carbonell; Eduardo Estrada; Anne Tuomisto; Irene Herruzo; Lochlan Fennell; Lochlan Fennell; Markus J. Mäkinen; Edith Rodriguez-Braun; Vicki L. J. Whitehall; Vicki L. J. Whitehall; Ana Conesa; Pablo Conesa-Zamora
Veröffentlicht in: Volume 13, Ausgabe 2, 2021, ISSN 2072-6694
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13205165

Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients

Autoren: Noemi Scarpato, Silvia Riondino, Aria Nourbakhsh, Mario Roselli, Patrizia Ferroni, Fiorella Guadagni, Fabio Massimo Zanzotto
Veröffentlicht in: Expert Systems with Applications, Ausgabe 256, 2024, Seite(n) 124859, ISSN 0957-4174
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2024.124859

Principles of Molecular Utility for CMS Classification in Colorectal Cancer Management

Autoren: Leili Rejali, Romina Seifollahi Asl, Fatemeh Sanjabi, Nayeralsadat Fatemi, Hamid Asadzadeh Aghdaei, Mahsa Saeedi Niasar, Pardis Ketabi Moghadam, Ehsan Nazemalhosseini Mojarad, Enrico Mini, Stefania Nobili
Veröffentlicht in: Cancers, Ausgabe 15, 2025, Seite(n) 2746, ISSN 2072-6694
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15102746

Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey

Autoren: Antonio Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez-Sánchez
Veröffentlicht in: International Journal of Molecular Sciences, Ausgabe 22/9, 2021, Seite(n) 4394, ISSN 1422-0067
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms22094394

Circulating Tumor Cell Models Mimicking Metastasizing Cells In Vitro: Discrimination of Colorectal Cancer Cells and White Blood Cells Using Digital Holographic Cytometry

Autoren: Marek Feith, Yuecheng Zhang, Jenny L. Persson, Jan Balvan, Zahra El-Schich, Anette Gjörloff Wingren
Veröffentlicht in: Photonics, 2022, ISSN 2304-6732
Herausgeber: MDPI
DOI: 10.3390/photonics9120955

Clinical Utility of Plasma KRAS, NRAS and BRAF Mutational Analysis with Real Time PCR in Metastatic Colorectal Cancer Patients—The Importance of Tissue/Plasma Discordant Cases

Autoren: Vincenzo Formica, Jessica Lucchetti, Elena Doldo, Silvia Riondino, Cristina Morelli, Renato Argirò, Nicola Renzi, Daniele Nitti, Antonella Nardecchia, Emanuela Dell’Aquila, Patrizia Ferroni, Fiorella Guadagni, Giampiero Palmieri, Augusto Orlandi, Mario Roselli
Veröffentlicht in: Journal of Clinical Medicine, Ausgabe 10/1, 2021, Seite(n) 87, ISSN 2077-0383
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jcm10010087

Use of Personalized Biomarkers in Metastatic Colorectal Cancer and the Impact of AI

Autoren: Volovat SR, Augustin I, Zob D, Boboc D, Amurariti F, Volovat C, Stefanescu C, Stolniceanu SC, Ciocoiu M, Dumitras EA, Danciu M, Ciobanu Apostol DG, Drug V, Al Shurbaji S, Coca LG, Leon F, Iftene A, Herghelegiu PC.
Veröffentlicht in: Cancers, Ausgabe 14(19):4834, 2022, ISSN 2072-6694
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14194834

Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission

Autoren: Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martínez-Cortés, Antonio Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez-Sánchez, Isabel Morales-Moreno, Juan José Hernández-Morante
Veröffentlicht in: Machine Learning and Knowledge Extraction, Ausgabe 6, 2024, Seite(n) 1653-1666, ISSN 2504-4990
Herausgeber: MDPI
DOI: 10.3390/make6030080

Digital holographic microscopy: a noninvasive method to analyze the formation of spheroids

Autoren: El-Schich Zahra
Veröffentlicht in: BioTechniques, 2021, ISSN 0736-6205
Herausgeber: Eaton Publishing Co.
DOI: 10.2144/btn-2021-0062

Colorectal Cancer Cell Spheroids Co-Cultured with Molecularly Imprinted Fluorescent Particles Targeting Sialic Acid Show Preserved Cell Viability

Autoren: Thomas Sjöberg, Zahra El-Schich, Knut Rurack, Anette Gjörloff Wingren
Veröffentlicht in: Applied Sciences, Ausgabe 13, 2023, Seite(n) 5330, ISSN 2076-3417
Herausgeber: MDPI
DOI: 10.3390/app13095330

Learn Chemistry with Augmented Reality

Autoren: Camelia Macariu, Adrian Iftene, Daniela Gîfu
Veröffentlicht in: Procedia Computer Science, Ausgabe 176, 2020, Seite(n) 2133-2142, ISSN 1877-0509
Herausgeber: Elsevier
DOI: 10.1016/j.procs.2020.09.250

Prehospital Cerebrovascular Accident Detection using Artificial Intelligence Powered Mobile Devices

Autoren: Cristian Simionescu, Madalina Insuratelu, Robert Herscovici
Veröffentlicht in: Procedia Computer Science, Ausgabe 176, 2020, Seite(n) 2773-2782, ISSN 1877-0509
Herausgeber: Elsevier
DOI: 10.1016/j.procs.2020.09.279

Atrial Fibrillation Detection Based on Deep Learning Models

Autoren: Iftene, A., Burlacu, A., Gîfu, D.
Veröffentlicht in: Proceedings of 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. 7-9 September 2022, Verona, Italy, 2022, Seite(n) 3752--3760, ISSN 1877-0509
Herausgeber: Elsevier
DOI: 10.1016/j.procs.2022.09.436

Automatic Real-Time Road Crack Identification System

Autoren: Lucia-Georgiana Coca, Ciprian-Gabriel Cusmuliuc, Vladut-Haralambie Morosanu, Teodora Grosu, Adrian Iftene
Veröffentlicht in: 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2022, Seite(n) 218-223
Herausgeber: International Committee on Computational Linguistics
DOI: 10.1109/synasc51798.2020.00043

UAICS at SemEval-2020 Task 4: Using a Bidirectional Transformer for Task a

Autoren: Ciprian-Gabriel Cusmuliuc, Lucia-Georgiana Coca, Adrian Iftene
Veröffentlicht in: Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2021, Seite(n) 609-613
Herausgeber: International Committee for Computational Linguistics
DOI: 10.18653/v1/2020.semeval-1.77

Crack detection system in AWS Cloud using Convolutional neural networks

Autoren: Georgiana-Lucia Coca, Ștefan-Cosmin Romanescu, Șerban-Mihai Botez, Adrian Iftene
Veröffentlicht in: Procedia Computer Science, Ausgabe 176, 2020, Seite(n) 400-409, ISSN 1877-0509
Herausgeber: Elsevier
DOI: 10.1016/j.procs.2020.08.041

Suche nach OpenAIRE-Daten ...

Bei der Suche nach OpenAIRE-Daten ist ein Fehler aufgetreten

Es liegen keine Ergebnisse vor