XPO5 genetic polymorphisms in cancer risk and prognosis

PI3K/AKT pathway-related microRNA variants in childhood acute lymphoblastic leukemia

BACKGROUND

Dysregulation of microRNAs (miRNAs) targeting genes in the PI3K/Akt pathway has been implicated in the pathogenesis of childhood acute lymphoblastic leukemia (ALL). However, the impact of genetic variants in these miRNAs on ALL susceptibility has not been extensively explored in the Chinese population.

METHODS

To address this gap, we conducted a case-control study to evaluate the association between genetic variants in five PI3K/AKT pathway-related miRNAs (miR-149, miR-126, miR-492, miR-612, and miR-423) and childhood ALL susceptibility in the Chinese population. Additionally, we investigated the effects of the rs2292832 mutation on ALL cell proliferation and apoptosis.

RESULTS

Our analyses revealed that the miR-149 rs2292832 mutant heterozygous CT genotype was more frequent in the control group than in the ALL cases, indicating a protective effect against ALL (adjusted odds ratio [OR] = 0.78, 95% confidence interval [CI] = 0.63-0.97, p = .024). Stratification analyses further revealed that the miR-149 rs2292832 CC genotype was associated with an increased risk of childhood ALL in subgroups of older children, females, those with parents who never smoked or drank alcohol, those living in painted houses, those with B-ALL, and those with high-risk ALL. Finally, we observed that the rs2292832 mutation inhibited ALL cell proliferation and induced apoptosis (p = .001), providing a potential mechanism by which this genetic variant may influence ALL susceptibility.

CONCLUSION

Our study highlights the significant association between the miR-149 rs2292832 genetic variant and childhood ALL susceptibility in the Chinese population. These findings expand our understanding of the complex genetic landscape underlying ALL and have implications for the development of personalized therapeutic strategies.

Identification of Potential Antigens for Developing mRNA Vaccine for Immunologically Cold Mesothelioma

Messenger RNA vaccines are considered to be a promising strategy in cancer immunotherapy, while their application on mesothelioma is still largely uncharacterized. This study aimed to identify potential antigens in mesothelioma for anti-mesothelioma mRNA vaccine development, and further determine the immune subtypes of mesothelioma for selection of suitable candidates from an extremely heterogeneous population. Gene expression data and corresponding clinicopathological information were obtained from the TCGA and gene expression omnibus, respectively. Then, the genetic alterations were compared and visualized using cBioPortal, and differentially expressed genes and their prognostic signatures were identified by GEPIA. The relationship between tumor-infiltrating immune cells and the expression of tumor antigens was systematically evaluated by TIMER online. Finally, the immune subtypes and immune landscape of mesothelioma were separately analyzed using consensus cluster and graph learning-based dimensional reduction. A total of five potential tumor antigens correlated with prognosis and infiltration of antigen-presenting cells, including AUNIP, FANCI, LASP1, PSMD8, and XPO5 were identified. Based on the expression of immune-related genes, patients with mesothelioma were divided into two immune subtypes (IS1 and IS2). Each subtype exhibited differential molecular, cellular and clinical properties. Patients with the IS1 subtype were characterized by an immune “cold” phenotype, displaying superior survival outcomes, whereas those with the IS2 subtype were characterized by an immune “hot” and immunosuppressive phenotype. Furthermore, immune checkpoints and immunogenic cell death modulators were differentially expressed between the IS1 and IS2 immune subtype tumors. The immunogenomic landscape of mesothelioma revealed a complex tumor immune microenvironment between individual patients. AUNIP, FANCI, LASP1, PSMD8, and XPO5 are putative antigens for the development of anti-mesothelioma mRNA vaccine and patients with the IS1 subtype may be considered for vaccination.

Proteomics and phosphoproteomics analysis of tissues for the reoccurrence prediction of colorectal cancer

BACKGROUND

Many stage II/III colorectal cancer (CRC) patients may relapse after routine treatments. Aberrant phosphorylation can regulate pathophysiological processes of tumors, and finding characteristic protein phosphorylation is an efficient approach for the prediction of CRC relapse.

RESEARCH DESIGN AND METHODS

We compared the tissue proteome and phosphoproteome of stage II/III CRC patients between the relapsed group (n = 5) and the non-relapsed group (n = 5). Phosphopeptides were enriched with Ti⁴⁺-IMAC material. We utilized label-free quantification-based proteomics to screen differentially expressed proteins and phosphopeptides between the two groups. Gene Ontology (GO) analysis and Ingenuity Pathway Analysis (IPA) were used for bioinformatics analysis.

RESULTS

The immune response of the relapsed group (Z-score -2.229) was relatively poorer than that of the non-relapsed group (Z-score 1.982), while viability of tumor was more activated (Z-score 2.895) in the relapsed group, which might cause increased relapse risk. The phosphorylation degrees of three phosphosites (phosphosite 1362 of TP53BP1, phosphosite 809 of VCL and phosphosite 438 of STK10) might be reliable prognostic biomarkers.

CONCLUSIONS

Some promising proteins and phosphopeptides were discovered to predict the relapse risk in postoperative follow-ups.

Study of the inhibitory effect of STAT1 on PDCoV infection

Porcine deltacoronavirus (PDCoV) is an enteropathogen found in many pig producing countries. It can cause acute diarrhea, vomiting, dehydration, and death in newborn piglets, seriously affecting the development of pig breeding industries. To date, our knowledge of the pathogenesis of PDCoV and its interactions with host cell factors remains incomplete. Using Co-IP coupled with LC/MS-MS, we identified 67 proteins that potentially interact with PDCoV in LLC-PK1 cells; five of the identified proteins were chosen for further evaluation (IMMT, STAT1, XPO5, PIK3AP1, and TMPRSS11E). Five LLC-PK1 cell lines, each with one of the genes of interest knocked down, were constructed using CRISPR/cas9. In these knockdown cells lines, only STAT1^KD resulted in a significantly greater virus yield. Knockdown of the remaining four genes resulted, to varying degrees, in a lower virus yield that wild-type LLC-PK1 cells. The absence of STAT1 did not significantly affect the attachment of PDCoV to cells, but did result in increased viral internalization. Additionally, PDCoV infection stimulated expression of interferon stimulated genes (ISGs) downstream of STAT1 (IFIT1, IFIT2, RADS2, ISG15, MX1, and OAS1) while knockdown of STAT1 resulted in a greater than 80 % decrease in the expression of all six ISGs. Our findings show that STAT1 interacts with PDCoV, and plays a negative regulatory role in PDCoV infection.

Genetic polymorphisms of miRNA machinery genes in bicuspid aortic valve and associated aortopathy

Aim: SNPs in miRNA machinery genes may affect miRNA function by impacting their biogenesis. Here, we investigated the association between three SNPs in miRNA machinery genes (DICER rs1057035, DROSHA rs10719 and XPO5 rs11077) and bicuspid aortic valve (BAV). Materials & methods: Three polymorphisms were analyzed in 177 BAV patients and 414 healthy subjects by using a TaqMan^®SNP assay. Results: The frequencies of XPO5 rs11077 genotype were significantly different between BAV patients and controls (p = 0.022). On multivariate logistic regression analysis, the XPO5 rs11077 C allele resulted a significant predictor of BAV (odds ratio_adjusted = 0.65; CI: 0.42-0.98; p = 0.047). Conclusion: The XPO5 rs11077 SNP was associated with a decreased BAV risk supporting the causative role of miRNAs in aortic valve development.

Association between microRNA machinery gene polymorphisms and recurrent implantation failure

The present study aimed to investigate the potential association of five miRNA machinery gene polymorphisms (DICER1 rs3742330A>G, DROSHA rs10719T>C, RAN rs14035C>T, XPO5 rs11077A>C and DGCR8 rs417309G>A) with recurrent implantation failure (RIF), a clinical condition in which good-quality embryos repeatedly fail to implant following two or more in vitro fertilization cycles, and its associated risk factors in Korean women. Therefore, the present study performed genotype analysis and assessed the frequency of these miRNA gene polymorphisms in patients diagnosed with RIF (n=119) and randomly selected controls (n=210) with at least one live birth and no history of pregnancy loss. The DROSHA rs10719T>C and RAN rs14035C>T polymorphisms were identified to be significantly associated with decreased prevalence of RIF. Additionally, the DROSHA rs10719 TC and the RAN rs14035 CT genotypes were present at significantly lower frequencies in the RIF group than in the control group (adjusted odds ratio=0.550; 95% CI, 0.339-0.893; P=0.016; and adjusted odds ratio=0.590; 95% CI, 0.363-0.958; P=0.033, respectively). Furthermore, the combined RAN rs14035 CT+TT genotype was observed to be associated with decreased RIF prevalence (adjusted odds ratio=0.616; 95% CI, 0.386-0.982; P=0.042). Genotype combination analysis for the various miRNA polymorphisms revealed that the DROSHA TC genotype exhibited a highly significant negative association with RIF prevalence when combined with the RAN CT genotype (adjusted odds ratio=0.314; 95% CI, 0.147-0.673; P=0.003; false discovery rate-adjusted P=0.023). The present study revealed an association between the DROSHA rs10719 and RAN rs14035 3'UTR polymorphisms and decreased risk of RIF in Korean women, which suggests that these gene polymorphisms could represent potential markers for predicting RIF risk.

Involving the microRNA Targetome in Esophageal-Cancer Development and Behavior

Esophageal cancer (EC) is the eighth most common and sixth leading cause of cancer-related mortality in the world. Despite breakthroughs in EC diagnosis and treatment, patients with complete pathologic response after being submitted to chemoradiotherapy are still submitted to surgery, despite its high morbidity. Single-nucleotide polymorphisms (SNPs) in miRNA, miRNA-binding sites, and in its biogenesis pathway genes can alter miRNA expression patterns, thereby influencing cancer risk and prognosis. In this review, we systematized the information available regarding the impact of these miR-SNPs in EC development and prognosis. We found 34 miR-SNPs that were associated with EC risk. Despite the promising applicability of these miR-SNPs as disease biomarkers, they still lack validation in non-Asian populations. Moreover, there should be more pathway-based approaches to evaluate the cumulative effect of multiple unfavorable genotypes and, consequently, identify miR-SNPs signatures capable of predicting EC therapy response and prognosis.