Correlations between Epstein‐Barr virus and acute leukemia

Guan, Hongzai; Miao, Hongxia; Ma, Ning; Lü, Wei; Luo, Bing

doi:10.1002/jmv.24797

Cited by 19 publications

(26 citation statements)

References 40 publications

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“…In our studies, EBV-DNA sequences were found in 88 of the 322 (27.3%) leukemia samples and in 35 of the 106 MDS samples (33%). The frequencies of EBV infection, as described here, were similar to those reported in AL patients (34.6%) and higher than those found in healthy controls (5.4%, 2/37) [8].…”

Section: Discussionsupporting

confidence: 89%

“…Ateyah et al [7] suggested that patients with B-cell acute lymphoblastic leukemia infected with EBV had a significant increase in the expression of CD4+CD25high+ Foxp3+Treg. Several previous investigations have been carried out focusing on the relationship between EBV infection and later leukemogenesis, which seems to play a vital role in the development of ALL [8][9][10][11]. Ahmed et al [9] reported that although EBV infection has no theoretical link with the pathogenesis of AML (EBV infects B lymphocytes), EBV latent membrane protein 1 (LMP1) gene transcripts were found in 5 of 15 (33.3%) patients with AML.…”

Section: Introductionmentioning

confidence: 99%

“…Ahmed et al [9] reported that although EBV infection has no theoretical link with the pathogenesis of AML (EBV infects B lymphocytes), EBV latent membrane protein 1 (LMP1) gene transcripts were found in 5 of 15 (33.3%) patients with AML. EBV-DNA copy numbers were discovered in 19 of 75 (25.3%) individuals with AML [8]. It is possible that EBV infection, as a secondary event, could increase the risk of AML.…”

Section: Introductionmentioning

confidence: 99%

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Sequence Variations of Epstein-Barr Virus-Encoded Small Noncoding RNA and Latent Membrane Protein 1 in Hematologic Tumors in Northern China

Wang

Sun

et al. 2021

Intervirology

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Objective: To investigate the relationship between hematologic tumors and Epstein-Barr virus (EBV)-encoded small noncoding RNA (EBER) variations as well as latent membrane protein 1 (LMP1) variations. Methods: Patients with leukemia and myelodysplastic syndrome (MDS) were selected as subjects. Genotypes 1/2 and genotypes F/f were analyzed using the nested PCR technology, while EBER and LMP1 subtypes were analyzed by the nested PCR and DNA sequencing. Results: Type 1 was more dominant than type 2, found in 59 out of 82 (72%) leukemia and in 31 out of 35 (88.6%) MDS, while type F was more prevalent than type f in leukemia (83/85, 97.6%) and MDS (29/31, 93.5%) samples. The distribution of EBV genotypes 1/2 was not significantly different among leukemia, MDS, and healthy donor groups, neither was that of EBV genotypes F/f. EB-6m prototype was the dominant subtype of EBER in leukemia and MDS (73.2% [30/41] and 83.3% [10/12], respectively). The frequency of EB-6m was lower than that of healthy people (96.7%, 89/92), and the difference was significant (p < 0.05). China 1 subtype was the dominant subtype of LMP1 in leukemia and MDS (70% [28/40] and 90% [9/10], respectively), and there was no significant difference in the distribution of LMP1 subtypes among the 3 groups (p > 0.05). Conclusion: The distribution of EBV 1/2, F/f, EBER, and LMP1 subtypes in leukemia and MDS was similar to that in the background population in Northern China, which means that these subtypes may be rather region-restricted but not associated with leukemia and MDS pathogenesis.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sequence Variations of Epstein-Barr Virus-Encoded Small Noncoding RNA and Latent Membrane Protein 1 in Hematologic Tumors in Northern China

Wang

Sun

et al. 2021

Intervirology

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“…In Croatia, seroprevalence rates of 91.2% and 97.7% were found among patients with hematological disorders and patients submitted to hemodialysis, respectively [ 68 ]. Guan et al (2017) [ 69 ] studied the correlation between EBV infection and acute leukemia. They reported EBV prevalence rates of 40.9% and 25.3% in patients with acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML), respectively.…”

Section: Prevalence Of CMV and Ebv Infections In Patients With Hemmentioning

confidence: 99%

Cytomegalovirus and Epstein-Barr Infections: Prevalence and Impact on Patients with Hematological Diseases

Silva

Pinheiro-Silva

Dhyani

et al. 2020

BioMed Research International

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Cytomegalovirus (CMV) and Epstein-Barr virus (EBV) infections are widely distributed throughout the world. EBV is linked to various hematological and autoimmune disorders whereas CMV might play important role in the progression of chronic hematological diseases, such as hemoglobinopathies, lymphomas, myelomas, hemophilia, and aplastic and sickle cell anemia. Both viruses produce a viral homolog of human interleukin-10 that can cause general suppression of immune response, increasing susceptibility to other infections. These viruses can remain latent in the host cells and be reactivated when the host immune system is compromised. Studies showing the impact of CMV and EBV infections on hematological disorders are scarce and unclear in the context of coinfection. This review intends to present the biology, prevalence, and impact of CMV and EBV infections in patients with hematological diseases.

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“…38,39 On the other hand, the most known evidence for previous Epstein-Barr virus infection is associated with the childhood B-ALL. 40 leukemia. [41][42][43][44] Interestingly, among all the differentially expressed miRNAs observed in this study, the most prominent putative biomarker of disease subtype was miR-29c-5p, which was a better discriminator than hsa-miR-708-5p, a reported miRNA with differential expression between childhood T-and B-ALL.…”

Section: Machine Learning and Mirna Expression Validationmentioning

confidence: 99%

MicroRNA expression profiles discriminate childhood T‐ from B‐acute lymphoblastic leukemia

Almeida¹,

Silva

Coutinho

et al. 2018

Hematological Oncology

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MicroRNAs (miRNAs) play a critical role on biological and cellular processes; the search for functional markers may be of importance for differential diagnosis, prognosis, and development of new therapeutic regimens. In this context, we evaluated the bone marrow miRNA profile of Brazilian children exhibiting T‐ or B‐cell acute lymphoblastic leukemia (T‐ALL or B‐ALL), using massive parallel sequencing, using the HiSeq 2500 platform (Illumina). The differential expression analysis was conducted considering a leave‐one‐out approach and FDR ≤ 0.05. Machine learning algorithms were applied to search for the disease subset biomarkers. Target prediction, functional enrichment, and classification of biological categories were also performed. Sixteen miRNAs were differentially expressed between T‐ and B‐ALL, of which 10 (miR‐708‐5p, miR‐497‐5p, miR‐151a‐5p, miR‐151b, miR‐371b‐5p, miR‐455‐5p, miR‐195‐5p, miR‐1266‐5p, miR‐574‐5p, and miR‐425‐5p) were downregulated and six (miR‐450b‐5p, miR‐450a‐5p, miR‐542‐5p, miR‐424‐5p, miR‐629‐5p, and miR‐29c‐5p) were upregulated in childhood T‐ALL. These miRNAs may be used for distinguishing childhood lymphoblastic leukemia subtypes, since it provided the clear separation of patients in these two distinct groups. Six relevant biological pathways were identified according to their role in leukemia, namely, viral carcinogenesis, cell cycle, and B‐cell receptor signaling pathways for induced miRNAs and TGF‐beta signaling, apoptosis, and NF‐kappa B signaling for the repressed miRNAs, of which several miRNA gene targets participate in cell differentiation and hematopoiesis processes. Machine learning analysis pointed out miR‐29c‐5p expression as the best discriminator between childhood T‐ and B‐ALL, which is involved in calcium signaling, critical for B‐cell lymphocyte fate. Further studies are needed to assure the role of the 16 miRNAs and miR‐29c‐5p on acute lymphoblastic leukemia subtypes and on disease prognosis.

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Correlations between Epstein‐Barr virus and acute leukemia

Cited by 19 publications

References 40 publications

Sequence Variations of Epstein-Barr Virus-Encoded Small Noncoding RNA and Latent Membrane Protein 1 in Hematologic Tumors in Northern China

Sequence Variations of Epstein-Barr Virus-Encoded Small Noncoding RNA and Latent Membrane Protein 1 in Hematologic Tumors in Northern China

Cytomegalovirus and Epstein-Barr Infections: Prevalence and Impact on Patients with Hematological Diseases

MicroRNA expression profiles discriminate childhood T‐ from B‐acute lymphoblastic leukemia

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