A novel cuproptosis-related subtypes and gene signature associates with immunophenotype and predicts prognosis accurately in neuroblastoma.

Background: Neuroblastoma (NB) is the most frequent solid tumor in pediatrics, which accounts for roughly 15% of cancer-related mortality in children. NB exhibited genetic, morphologic, and clinical heterogeneity, which limited the efficacy of available therapeutic approaches. Recently, a new term 'cuproptosis' has been used to denote a unique biological process triggered by the action of copper. In this instance, selectively inducing copper death is likely to successfully overcome the limitations of conventional anticancer drugs. However, there is still a gap regarding the role of cuproptosis in cancer, especially in pediatric neuroblastoma. Methods: We characterized the specific expression of cuproptosis-related genes (CRGs) in NB samples based on publicly available mRNA expression profile data. Consensus clustering and Lasso-Cox regression analysis were applied for CRGs in three independent cohorts. ESTIMATE and Xcell algorithm was utilized to visualize TME score and immune cell subpopulations' relative abundances. Tumor Immune Dysfunction and Exclusion (TIDE) score was used to predict tumor response to immune checkpoint inhibitors. To decipher the underlying mechanism, GSVA was applied to explore enriched pathways associated with cuproptosis signature and Connectivity map (CMap) analysis for drug exploration. Finally, qPCR verified the expression levels of risk-genes in NB cell lines. In addition, PDHA1 was screened and further validated by immunofluorescence in human clinical samples and loss-of-function assays. Results: We initially classified NB patients according to CRGs and identified two cuproptosis-related subtypes that were associated with prognosis and immunophenotype. After this, a cuproptosis-related prognostic model was constructed and validated by LASSO regression in three independent cohorts. This model can accurately predict prognosis, immune infiltration, and immunotherapy responses. These genes also showed differential expression in various characteristic groups of all three datasets and NB cell lines. Loss-of-function experiments indicated that PDHA1 silencing significantly suppressed the proliferation, migration, and invasion, in turn, promoted cell cycle arrest at the S phase and apoptosis of NB cells. Conclusions: Taken together, this study may shed light on new research areas for NB patients from the cuproptosis perspective.

Immune-related gene signature associates with immune landscape and predicts prognosis accurately in patients with Wilms tumour.

Wilms tumour (WT) is the most common kidney malignancy in children. Chemoresistance is the leading cause of tumour recurrence and poses a substantial therapeutic challenge. Increasing evidence has underscored the role of the tumour immune microenvironment (TIM) in cancers and the potential for immunotherapy to improve prognosis. There remain no reliable molecular markers for reflecting the immune landscape and predicting patient survival in WT. Here, we examine differences in gene expression by high-throughput RNA sequencing, focused on differentially expressed immune-related genes (IRGs) based on the ImmPort database. Via univariate Cox regression analysis and Lasso-penalized Cox regression analysis, IRGs were screened out to establish an immune signature. Kaplan-Meier curves, time-related ROC analysis, univariate and multivariate Cox regression studies, and nomograms were used to evaluate the accuracy and prognostic significance of this signature. Furthermore, we found that the immune signature could reflect the immune status and the immune cell infiltration character played in the tumour microenvironment (TME) and showed significant association with immune checkpoint molecules, suggesting that the poor outcome may be partially explained by its immunosuppressive TME. Remarkably, TIDE, a computational method to model tumour immune evasion mechanisms, showed that this signature holds great potential for predicting immunotherapy responses in the TARGET-wt cohort. To decipher the underlying mechanism, GSEA was applied to explore enriched pathways and biological processes associated with immunophenotyping and Connectivity map (CMap) along with DeSigN analysis for drug exploration. Finally, four candidate immune genes were selected, and their expression levels in WT cell lines were monitored via qRT-PCR. Meanwhile, we validated the function of a critical gene, NRP2. Taken together, we established a novel immune signature that may serve as an effective prognostic signature and predictive biomarker for immunotherapy response in WT patients. This study may give light on therapeutic strategies for WT patients from an immunological viewpoint.

Transcriptional regulation of the porcine miR-17-92 cluster.

The miR-17-92 cluster has been involved in the cell cycle, apoptosis, and signaling. However, its transcriptional regulation has not been fully characterized. To elucidate the transcriptional regulation, the promoter of miR-17-92 was analyzed in detail in pig here. We found that, as an intronic miRNA, porcine miR-17-92 cluster was regulated by two independent promoters, an A/T-rich region directly upstream of the miR-17-92 coding sequence, and a G/C-rich region corresponding to the host gene promoter of the human miR-17-92 cluster. Several cis-regulatory elements were identified including sites for c-Myc, NFY, E2F3, and SP1, among which NFY and c-Myc sites were present in both A/T- and G/C-rich regions, while E2F3 and SP1 sites only existed in G/C-rich region. Sites for c-Myc, E2F3, and SP1 were positive for regulating transcription. NFY sites played bipartite roles, functioning as a repressor for the A/T-rich region, and as an activator for the G/C-rich region. Additionally, we found that levels of individual miRNAs in the cluster were not promoted completely in parallel with each other or with pri-miR-17-92 by the A/T-rich region, through using a self-made vector by modifying pGL3-basic in which firefly luciferase gene was replaced with an miR-17-92 cluster and a direct upstream A/T-rich region. The expression regulation of miR-17-92 is complicated and the results will contribute to further revealing the regulatory mechanisms under the expression of the miR-17-92 cluster.

Molecular characterization of Sp110 gene in pigs.

Speckled 110 kDa (Sp110) plays an important role in infectious diseases, as revealed by studies in humans. However, little is known regarding porcine Sp110. To elucidate its potential role in porcine resistance to viral diseases, here, the complete coding sequence of porcine Sp110 gene and its 26 alternatively spliced isoforms were isolated using reverse transcription (RT)-polymerase chain reaction (PCR), and another seven splicing patterns were obtained using a minigene construct. Subcellular distribution of 11 representative isoforms was characterized in PK-15 cells transiently transfected with their respective GFP fusion constructs, and only isoforms (R and V) bearing all functional domains were localized in nucleus, indicating all the other isoforms lose normal functions of Sp110 owing to alternative splicing. Real-time quantitative PCR and competitive RT-PCR showed that both isoforms R and V had similar tissue expression profile, half-life and response to poly(I:C), a synthetic analog of viral double-stranded RNA, while the longer one (isoform R) was transcribed at a higher level. The results indicated that porcine Sp110 has a role in viral infection and that isoform R is the dominant active form. Overall the data provide potential resource for molecular breeding of pig resistant to diseases and contributes to breeding pigs resistant to viral infection.

Cloning and identification of splice variants of the porcine PILRA gene.

Paired immunoglobulin-like type 2 receptors (PILRs) are members of the immunoglobulin superfamily and composed of two subtypes, α and ß. PILRα plays an important role in the immune response against invading pathogens, but so far there is no report on porcine PILRα. In order to analyze the potential role of PILRα in porcine disease-resistant breeding, we first cloned the PILRA gene (V1-V3, GenBank accession Nos. KJ143679-81) into pigs, and identified its three splice variants. Each variant conceptually translates into proteins of 271 amino acids (aa), 254aa and 283aa, respectively. Furthermore, quantitative real-time PCR was used to construct expression profiles of each variant in tissues and that induced by Poly(I:C). All three variants had the highest expression levels in the spleen, followed by liver and lung tissues. While levels were low or undetectable in the heart, kidney, stomach, muscle, lymph, large intestine, small intestine and bladder. Poly(I:C) significantly induced the expression of splice variant 1 (V1) of porcine PILRA, but hardly affected the expression of V2 and V3. The results lay a foundation for further study on the role of PILRA in porcine breeding and disease resistance.