دورية أكاديمية

Long Non-coding RNAs in Myeloid Malignancies

التفاصيل البيبلوغرافية
العنوان: Long Non-coding RNAs in Myeloid Malignancies
المؤلفون: Alina-Andreea Zimta, Ciprian Tomuleasa, Iman Sahnoune, George A. Calin, Ioana Berindan-Neagoe
المصدر: Frontiers in Oncology, Vol 9 (2019)
بيانات النشر: Frontiers Media S.A., 2019.
سنة النشر: 2019
المجموعة: LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
مصطلحات موضوعية: myeloid malignancies, non-coding RNAs, diagnostic tool, prognostic tools, clinical impact, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
الوصف: Acute myeloid leukemia (AML) represents 80% of adult leukemias and 15–20% of childhood leukemias. AML are characterized by the presence of 20% blasts or more in the bone marrow, or defining cytogenetic abnormalities. Laboratory diagnoses of myelodysplastic syndromes (MDS) depend on morphological changes based on dysplasia in peripheral blood and bone marrow, including peripheral blood smears, bone marrow aspirate smears, and bone marrow biopsies. As leukemic cells are not functional, the patient develops anemia, neutropenia, and thrombocytopenia, leading to fatigue, recurrent infections, and hemorrhage. The genetic background and associated mutations in AML blasts determine the clinical course of the disease. Over the last decade, non-coding RNAs transcripts that do not codify for proteins but play a role in regulation of functions have been shown to have multiple applications in the diagnosis, prognosis and therapeutic approach of various types of cancers, including myeloid malignancies. After a comprehensive review of current literature, we found reports of multiple long non-coding RNAs (lncRNAs) that can differentiate between AML types and how their exogenous modulation can dramatically change the behavior of AML cells. These lncRNAs include: H19, LINC00877, RP11-84C10, CRINDE, RP11848P1.3, ZNF667-AS1, AC111000.4-202, SFMBT2, LINC02082-201, MEG3, AC009495.2, PVT1, HOTTIP, SNHG5, and CCAT1. In addition, by performing an analysis on available AML data in The Cancer Genome Atlas (TCGA), we found 10 lncRNAs with significantly differential expression between patients in favorable, intermediate/normal, or poor cytogenetic risk categories. These are: DANCR, PRDM16-DT, SNHG6, OIP5-AS1, SNHG16, JPX, FTX, KCNQ1OT1, TP73-AS1, and GAS5. The identification of a molecular signature based on lncRNAs has the potential for have deep clinical significance, as it could potentially help better define the evolution from low-grade MDS to high-grade MDS to AML, changing the course of therapy. This would allow clinicians to provide a more personalized, patient-tailored therapeutic approach, moving from transfusion-based therapy, as is the case for low-grade MDS, to the introduction of azacytidine-based chemotherapy or allogeneic stem cell transplantation, which is the current treatment for high-grade MDS.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2234-943X
Relation: https://www.frontiersin.org/article/10.3389/fonc.2019.01048/full; https://doaj.org/toc/2234-943X
DOI: 10.3389/fonc.2019.01048
URL الوصول: https://doaj.org/article/62c70aef9acd4b25af4e4fcd3e9df701
رقم الأكسشن: edsdoj.62c70aef9acd4b25af4e4fcd3e9df701
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2234943X
DOI:10.3389/fonc.2019.01048