Interleukin-10 (1082G/A) Polymorphism is Associated with Susceptibility of Acute Myeloid Leukemia Patients in Sudanese Population

A meta-analysis of associations of IL-10 gene polymorphisms with acute leukemia susceptibility

BACKGROUND

Recently, increasing evidence has demonstrated that IL-10 single nucleotide polymorphisms (SNPs) are associated with the risk of acute leukemia (AL), but the findings of different articles remain controversial. Thus, we performed a meta-analysis to further investigate the exact roles of IL-10 SNPs in AL susceptibility.

METHODS

Six common Chinese and English databases were utilized to retrieve eligible studies. The strength of the association was assessed by calculating odds ratios and 95 % confidence intervals. All analyses were carried out using Review Manager (version 5.3) and STATA (version 15.1). The registered number of this research is CRD42022373362.

RESULTS

A total of 6391 participants were enrolled in this research. The results showed that the AG genotype of rs1800896 increased AL risk in the heterozygous codominant model (AG vs. AA, OR = 1.41, 95 % CI = 1.04-1.92, P = 0.03) and overdominant model (AG vs. AA + GG, OR = 1.32, 95 % CI = 1.04-1.70, P = 0.03). In the subgroup analysis, associations between the G allele, GG genotype, AG genotype, AG + GG genotype of rs1800896 and increased AL risk were also observed in the mixed population based on allelic, homozygote codominant, heterozygous codominant, dominant, and overdominant models. Furthermore, an association between the AC genotype of rs1800872 and increased AL risk was observed in the Caucasian population in the overdominant model. However, the rs1800871, rs3024489 and rs3024493 polymorphisms did not affect AL risk.

CONCLUSION

IL-10 rs1800896 and rs1800872 affected the susceptibility of AL and therefore may be biomarkers for early screening and risk prediction of AL.

Interleukin-10-1082A>G (rs1800896) Single Nucleotide Polymorphism is Not a Risk Factor of Chronic Lymphocytic Leukemia in Sudanese Population

OBJECTIVE

The present study was conducted to examine the association between the IL-10-1082A>G (rs 1800896) polymorphism and risk of Chronic Lymphocytic Leukemia and to assess the correlation between this polymorphism and clinicopathological characters.

METHODS

A case-control study was conducted in Khartoum state, Sudan, during the period from April 2017 to April 2018, involved 110 CLL patients and 80 healthy volunteers as a control group. Physical examination, complete blood count, and immunophenotype were performed in all patients to confirm the diagnosis. Clinical staging such as Rai and Binet were studied. CD38 and ZAP70 were performed by flow cytometry. Blood samples were collected from all participants; DNA was extracted by using ANALYTIKJENA Blood DNA Extraction Kit and analyzed IL-10-1082A>G polymorphism by using Allele Specific-Polymerase Chain Reaction. The statistical analysis was performed using statistical  package  for  social  sciences  version 23.0 software.

RESULTS

Frequency of AA, AG, and GG genotypes was 32.7%, 55.5%, and 11.8% for the patient group and 31.25%, 51.25%, and 17.5% in the control group, respectively. The genotype of IL-10 (-1082A>G) did not associate with susceptibility of CLL in our population. The study showed that the G allele of the IL-10 gene (-1082A>G) is associated with the male sex. However, no significant association was found between -1082A>G genotype and clinicopathological characters.

CONCLUSION

Our results do not support the involvement of the IL-10 -1082A>G promoter gene polymorphism in the increased CLL susceptibility. IL-10-1082G allele (IL-10-1082AG or IL-10-1082GG) was found more frequently in males. Furthermore, no association was observed between the IL-10-1082A>G polymorphism and clinical stages systems as well as established poor prognostic markers. Finally, within the group of patients with CLL, there was no difference in the age at diagnosis and hematological parameters according to genotype distributions.

IL-10 rs1800896 Polymorphism: A Risk Factor for Adult Acute Lymphoblastic Leukemia

Purpose

Single-nucleotide polymorphism (SNP) in the promoter region of the IL-10 gene can increase susceptibility to tumor development. The current study aimed to explore the genotypic frequency of interleukin-10 (IL-10) rs1800896 polymorphism in newly diagnosed adult patients with acute lymphoblastic leukemia (ALL) and validate whether this SNP is a risk factor for adult ALL.

Patients and Methods

This case–control study was based on a subset of newly diagnosed 154 adult patients with ALL recruited from the Radiation and Isotope Center in Khartoum (RICK) and 154 healthy controls from the same geographical area. Genomic DNA was used for the genotyping of rs1800896 polymorphism through allele-specific polymerase chain reaction (PCR) assays.

Results

The genotypic frequencies of rs1800896 showed a statistically significant association of AG and AA genotypes with adult ALL (p<0.001). Combined genotypes AG+GG vs AA also showed a positive association of rs1800896 with adult ALL (OR=4.89). The allelic frequencies of G and A did not show any significant difference in adult patients with ALL compared with the control group. AG rs1800896 genotype showed an increased risk of B and T ALL (OR=2.51 and 4.70, respectively). Age at diagnosis, gender, and immunophenotype (B vs T ALL) did not exhibit any association of rs1800896 with ALL in this patient group.

Conclusion

rs1800896 polymorphism is associated with an increased risk of ALL in adult patients irrespective of the age at diagnosis, gender, and immunophenotype of ALL.

The Multi-Omic Prognostic Model of Oxidative Stress-Related Genes in Acute Myeloid Leukemia

Background: Acute myeloid leukemia (AML) is one of the most common cancers in the world, and oxidative stress is closely related to leukemia. A lot of effort has been made to improve the prognosis of AML. However, the situation remains serious. Hence, we focused on the study of prognostic genes in AML. Materials and Methods: Prognostic oxidative stress genes were screened out. The gene expression profile of AML patients was downloaded from the The Cancer Genome Atlas (TCGA) database. The oxidative stress-related model was constructed, by which the prognosis of AML patients was predicted using the two GEO GSE23143 datasets and the stability of the GSE71014 authentication model. Results: The prognostic oxidative stress genes were screened out in AML, and the prognostic genes were significantly enriched in a large number of pathways based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. There was a complex interaction between prognostic genes and transcription factors. After constructing the prediction model, the clinical predictive value of the model was discussed in a multi-omic study. We investigated the sensitivity of risk score to common chemotherapeutic agents, the influence of signaling pathways on the prognosis of AML patients, and the correlation of multiple genes with immune score and immune dysfunction. Conclusions: A highly effective prognostic risk model for AML patients was established and validated. The association of prognostic oxidative stress genes with drug sensitivity, signaling pathways, and immune infiltration was explored. The results suggested that oxidative stress genes promised to be potential prognostic biomarkers for AML, which may provide a new basis for disease management.