H2020Индивидуална стипендия2022–2024

cmiRCan · Circulating microRNAs in lynch syndrome

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2022-03-01 → 2024-02-29
Финансиране от ЕС
202 681 €
Участници
1
Схема
MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Циркулиращите микроРНК в кръвта на пациенти със синдром на Линч се анализират чрез алгоритми за машинно обучение. Това помага за по-ранно откриване на рак и подобряване на прогнозата за развитието на заболяването.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Circulating microRNAs in lynch syndrome

Dr. Tiina Jokela has conducted a Marie Skłodowska-Curie Actions Individual Fellowship to develop a machine learning-based classification algorithm for identifying and exploiting circulating microRNA (c-miR) profiles as biomarkers in Lynch syndrome (LS) patients. LS is a hereditary cancer syndrome caused by pathogenic gene variants in DNA mismatch repair genes, leading to a significantly increased risk of developing various cancers. The project addresses the lack of research on c-miRs in LS and their potential as diagnostic and treatment tools. This project's significance lies in its potential to improve early cancer detection and prognosis for LS patients, thus reducing the human and economic burden on both patients and society. By studying c-miR signatures in LS patients and their effects on tumor growth, the project seeks to contribute to developing innovative diagnostic and treatment protocols for LS-related cancers. The overall objectives of the project include developing a comprehensive understanding of c-miRs in LS, investigating their functional roles in tumor growth regulation, and exploring the synergistic effects of c-miR clusters. The project utilizes blood samples and patient-derived organoids to analyze c-miR signatures and investigate their functions in the cancer microenvironment.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Blood-based cancer biomarkers have become important research targets and together with the recent development of liquid biopsy methods and analysis, they have become interesting future tools for cancer diagnosis. The cell-free small non-coding circulating RNA particles, namely microRNAs (c-miRs) that associate with cancer development, have been identified and tested to be used for cancer screening, diagnosis, tumor subtype classification, chemo- or radio-resistance monitoring, and outcome prognosis. Here we use whole serum c-miR clusters from patients with hereditary cancer syndrome, called Lynch syndrome, as a biomarker and we develop machine learning-based algorithms to diagnose and predict cancer occurrence in this patient cohort. We also functionally test how these c-miR clusters effect lynch syndrome linked to tumor growth. This interdisciplinary project combines clinical, cell biological and bioinformatic research and it will reciprocally transfer knowledge between research, Tiina Jokela and host institute, University of Jyväskylä and secondment institutes; University of Helsinki and Helsinki University Hospital. The proposed project support researcher Tiina Jokela to also gain transferable independent research skills and support her future career goal to become the leader of her own academic research group in the cancer research field.

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз