taRgeted thErapy for adVanced colorEctal canceR paTients

Risultati finali

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.

Pubblicazioni

Gene-Mutation-Based Algorithm for Prediction of Treatment Response

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

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

Autori: Martha Kimani; Víctor Pérez-Padilla; Virginia Valderrey; Kornelia Gawlitza; Knut Rurack
Pubblicato in: Chemosensors, Numero 10(3), 2022, Pagina/e 99, ISSN 2227-9040
Editore: MDPI
DOI: 10.3390/chemosensors10030099

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

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

Applications of Tumor Cells in an In Vitro 3D Environment

Autori: Sylwia Hasterok, Anna Gustafsson, Anette Gjörloff Wingren
Pubblicato in: Applied Sciences, Numero 13, 2023, Pagina/e 10349, ISSN 2076-3417
Editore: 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.

Autori: Ianole V, Danciu M, Volovat C, Stefanescu C, Herghelegiu CP, Leon F, Iftene A, Cusmuliuc CG, Toma B, Drug V, Ciobanu Apostol DG
Pubblicato in: Cancers, Numero 14(12):2915, 2022, ISSN 2072-6694
Editore: 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

Autori: Ginés Luengo-Gil; Pablo Conesa-Zamora
Pubblicato in: Crossref, Numero 2, 2021, ISSN 2056-6646
Editore: Wiley-VCH
DOI: 10.1002/gch2.202100051

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

Autori: Matteo Lulli, Cristina Napoli, Ida Landini, Enrico Mini, Andrea Lapucci
Pubblicato in: International Journal of Molecular Sciences, Numero 23, 2024, Pagina/e 13431, ISSN 1422-0067
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms232113431

Evaluating Explainable Machine Learning Models for Clinicians

Autori: Noemi Scarpato, Aria Nourbakhsh, Patrizia Ferroni, Silvia Riondino, Mario Roselli, Francesca Fallucchi, Piero Barbanti, Fiorella Guadagni, Fabio Massimo Zanzotto
Pubblicato in: Cognitive Computation, Numero 16, 2024, Pagina/e 1436-1446, ISSN 1866-9956
Editore: 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

Autori: 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
Pubblicato in: Cancers (Basel), 2022, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14112594

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

Autori: Noemi Scarpato, Patrizia Ferroni, Fiorella Guadagni
Pubblicato in: IEEE Access, 2024, Pagina/e 1-1, ISSN 2169-3536
Editore: 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

Autori: Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez
Pubblicato in: AI, Numero 5, 2024, Pagina/e 2353-2374, ISSN 2673-2688
Editore: 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.

Autori: 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
Pubblicato in: Volume 13, Numero 2, 2021, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13205165

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

Autori: Noemi Scarpato, Silvia Riondino, Aria Nourbakhsh, Mario Roselli, Patrizia Ferroni, Fiorella Guadagni, Fabio Massimo Zanzotto
Pubblicato in: Expert Systems with Applications, Numero 256, 2024, Pagina/e 124859, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2024.124859

Principles of Molecular Utility for CMS Classification in Colorectal Cancer Management

Autori: 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
Pubblicato in: Cancers, Numero 15, 2025, Pagina/e 2746, ISSN 2072-6694
Editore: 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

Autori: Antonio Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez-Sánchez
Pubblicato in: International Journal of Molecular Sciences, Numero 22/9, 2021, Pagina/e 4394, ISSN 1422-0067
Editore: 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

Autori: Marek Feith, Yuecheng Zhang, Jenny L. Persson, Jan Balvan, Zahra El-Schich, Anette Gjörloff Wingren
Pubblicato in: Photonics, 2022, ISSN 2304-6732
Editore: 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

Autori: 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
Pubblicato in: Journal of Clinical Medicine, Numero 10/1, 2021, Pagina/e 87, ISSN 2077-0383
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jcm10010087

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

Autori: 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.
Pubblicato in: Cancers, Numero 14(19):4834, 2022, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14194834

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

Autori: 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
Pubblicato in: Machine Learning and Knowledge Extraction, Numero 6, 2024, Pagina/e 1653-1666, ISSN 2504-4990
Editore: MDPI
DOI: 10.3390/make6030080

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

Autori: El-Schich Zahra
Pubblicato in: BioTechniques, 2021, ISSN 0736-6205
Editore: 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

Autori: Thomas Sjöberg, Zahra El-Schich, Knut Rurack, Anette Gjörloff Wingren
Pubblicato in: Applied Sciences, Numero 13, 2023, Pagina/e 5330, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app13095330

Learn Chemistry with Augmented Reality

Autori: Camelia Macariu, Adrian Iftene, Daniela Gîfu
Pubblicato in: Procedia Computer Science, Numero 176, 2020, Pagina/e 2133-2142, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2020.09.250

Prehospital Cerebrovascular Accident Detection using Artificial Intelligence Powered Mobile Devices

Autori: Cristian Simionescu, Madalina Insuratelu, Robert Herscovici
Pubblicato in: Procedia Computer Science, Numero 176, 2020, Pagina/e 2773-2782, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2020.09.279

Atrial Fibrillation Detection Based on Deep Learning Models

Autori: Iftene, A., Burlacu, A., Gîfu, D.
Pubblicato in: Proceedings of 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. 7-9 September 2022, Verona, Italy, 2022, Pagina/e 3752--3760, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2022.09.436

Automatic Real-Time Road Crack Identification System

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

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

Autori: Ciprian-Gabriel Cusmuliuc, Lucia-Georgiana Coca, Adrian Iftene
Pubblicato in: Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2021, Pagina/e 609-613
Editore: International Committee for Computational Linguistics
DOI: 10.18653/v1/2020.semeval-1.77

Crack detection system in AWS Cloud using Convolutional neural networks

Autori: Georgiana-Lucia Coca, Ștefan-Cosmin Romanescu, Șerban-Mihai Botez, Adrian Iftene
Pubblicato in: Procedia Computer Science, Numero 176, 2020, Pagina/e 400-409, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2020.08.041

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