RESUMO
INTRODUCTION: Chronic lymphocytic leukemia (CLL) is characterized by a very heterogeneous clinical outcome. Thus, a plethora of prognostic factors and systems has been identified to place patients into different risk categories and to guide therapy decisions. The classic clinical staging models by Rai and Binet have been the cornerstone of patient management for several years. The greater insight into the molecular biology of CLL facilitated the advent of prognostic genetic biomarkers that are expected to impact clinical practice soon in the future. Therefore, we aimed to investigate the expression of long non-coding RNA (lncRNA) CRNDE in patients with CLL, and to analyze its relationship with the clinicopathological parameters of CLL. METHODS: In this study, 40 untreated CLL patients and 30 age- and gender-matched controls were enrolled. The analysis of lncRNA CRNDE expression was determined using reverse transcription-quantitative polymerase chain reaction technique. RESULTS: Our result confirmed the downregulated expression of LncRNA CRNDE in CLL patients compared to controls (p < 0.001). The low expression of CRNDE was significantly associated with poor prognostic markers including advanced stage of CLL, high levels of serum beta-2 microglobulin and lactic dehydrogenase, and the presence of del17p (p = 0.029, p = 0.013, p = 0.003, p = 0.028; respectively). CONCLUSION: Our study demonstrated that LncRNA CRNDE is significantly downregulated and associated with poor prognostic markers in CLL. It provides a rationale to assess its biological and prognostic impact in CLL.
Assuntos
Leucemia Linfocítica Crônica de Células B , RNA Longo não Codificante , Humanos , Leucemia Linfocítica Crônica de Células B/diagnóstico , Leucemia Linfocítica Crônica de Células B/genética , Prognóstico , RNA Longo não Codificante/genéticaRESUMO
Increasing evidence of involvement of non-coding RNAs, especially long non-coding RNAs (lncRNAs), in the molecular biology of various malignancies have been recently reported. Their utilization as markers for diagnosis, prognosis and evaluation of treatment response was widely investigated. As the impact of lncRNA HOTAIR on multiple myeloma (MM) was not properly highlighted, we aimed to explore the expression levels of HOTAIR in three groups of MM patients and to analyze its relationship to different patients' characteristics. Plasma samples were withdrawn from 24 newly diagnosed MM patients, 23 post-therapy patients in complete response (CR) or very good partial response (VGPR) and 15 patients who had either progressive disease (PD) or relapse. The expression of lncRNA HOTAIR in MM patients and 20 healthy controls was analyzed by quantitative reverse transcription polymerase chain reactions. HOTAIR was significantly upregulated in newly diagnosed and PD/relapse categories in comparison with controls and MM patients who had achieved CR or VGPR (P < 0.001). Furthermore; HOTAIR expression levels correlated with the percentage of malignant plasma cells in bone marrow (P = 0.006) and disease stage (ISS stage) (P = 0.031). HOTAIR may be employed as prognostic molecular marker and novel therapeutic tool for newly diagnosed MM patients.