Comprehensive analysis of GINS subunits prognostic value and ceRNA network in sarcoma

GINS4 silencing mediates hepatocellular cancer cell proliferation, cycle and ferroptosis through POLE2

BACKGROUND

GINS4 has been identified as a regulator associated with multiple types of cancers. However, the effects of GINS4 on hepatocellular carcinoma (HCC) have not been reported.

METHODS

GINS4 expression in HCC was evaluated utilizing UALCAN database. The relationship between the expression of GINS4 and the survival probability of HCC patients was analyzed using Kaplan-Meier Plotter. Cell viability was evaluated by CCK8 assay and EDU assay. qRT-PCR and western blot were performed to examine GINS4 expression. The level of cell cycle was measured by flow cytometry and western blot. Fe2+ level and ferroptosis-related proteins were measured by corresponding kits and western blot. Lipid peroxidation was explored by C11 BODIPY 581/591 probe. STRING database and HDOCK database were performed to predict the binding of GINS4 to POLE2. Immunofluorescence and western blotting was adopted for assessing cell autophagy and mTOR signaling pathway. Ki67 and GPX4 levels were measured by immunohistochemistry. The expression levels of POLE2/PI3K/AKT were assessed by western blot.

RESULTS

The data indicated that GINS4 expression was upregulated in HCC. Knockdown of GINS4 alleviated the proliferation and cycle and promoted ferroptosis of HuH7 cells. GINS4 was proved to bind to POLE2 and the silencing of GINS4 inhibited the expression of POLE2. GINS4 knockdown accelerated ferroptosis in HuH7 cells. POLE2 overexpression reversed the influences of GINS4 silencing on proliferation and cycle, and also ferroptosis. In addition, interference with GINS4 suppressed the activation of PI3K/AKT signaling via POLE2. In vivo experiments illustrated that GINS4 deletion suppressed HCC tumor growth, increased the GPX4 expression and restrained the Ki67 level, as well as reducing POLE2/PI3K/AKT signaling.

CONCLUSION

GINS4 silencing suppressed proliferation and cycle while promoted ferroptosis in HCC cells by regulating PI3K/AKT signaling via binding to POLE2.

Exploring the Anti-Leukemic Effect of the Synthetic Retinoid ST1926 on Malignant T Cells: A Comprehensive Proteomics Approach

T-cell malignancies represent a group of complex cancers arising from T cells and include aggressive subtypes such as Adult T-cell Leukemia/Lymphoma (ATL) and T-cell Acute Lymphoblastic Leukemia (T-ALL). Patients with these aggressive subtypes still represent an unmet medical condition. The synthetic adamantyl retinoid ST1926, a potent DNA polymerase-α inhibitor, proved a promising potency in preclinical models of ATL and peripheral T-cell lymphoma. Using advanced liquid chromatography-mass spectrometry (LC-MS/MS) techniques, we explored the effects of ST1926 on global protein expression in ATL (HuT-102) and T-ALL (MOLT-4) cells. We demonstrate that ST1926 triggers differentiation and apoptosis in malignant T-cells while halting tumor progression. Evidence at the proteomics level reveals the impact of ST1926 on crucial DNA replication enzymes and cell cycle regulation, highlighting its potential to reduce leukemogenesis and promote apoptosis. Our findings underscore the potential of ST1926 as an innovative therapeutic approach to address these aggressive T-cell malignancies, providing valuable insights into developing new targeted therapies and improving the outcomes and prognosis of patients with these challenging diseases.

Transcriptome analysis displays new molecular insights into the mechanisms of action of Mebendazole in gastric cancer cells

Gastric cancer (GC) is a common cancer worldwide. Therefore, searching for effective treatments is essential, and drug repositioning can be a promising strategy to find new potential drugs for GC therapy. For the first time, we sought to identify molecular alterations and validate new mechanisms related to Mebendazole (MBZ) treatment in GC cells through transcriptome analysis using microarray technology. Data revealed 1066 differentially expressed genes (DEGs), of which 345 (2.41 %) genes were upregulated, 721 (5.04 %) genes were downregulated, and 13,231 (92.54 %) genes remained unaltered after MBZ exposure. The overexpressed genes identified were CCL2, IL1A, and CDKN1A. In contrast, the H3C7, H3C11, and H1-5 were the top 3 underexpressed genes. Gene set enrichment analysis (GSEA) identified 8 pathways significantly overexpressed in the treated group (p < 0.05 and FDR<0.25). The validation of the expression of top desregulated genes by RT-qPCR confirmed the transcriptome results, where MBZ increased the CCL2, IL1A, and CDKN1A and reduced the H3C7, H3C11, and H1-5 transcript levels. Expression analysis in samples from TCGA databases correlated that the lower ILI1A and higher H3C11 and H1-5 gene expression are associated with decreased overall survival rates in patients with GC, indicating that MBZ treatment can improve the prognosis of patients. Thus, the data demonstrated that the drug MBZ alters the transcriptome of the AGP-01 lineage, mainly modulating the expression of histone proteins and inflammatory cytokines, indicating a possible epigenetic and immunological effect on tumor cells, these findings highlight new mechanisms of action related to MBZ treatment. Additional studies are still needed to better clarify the epigenetic and immune mechanism of MBZ in the therapy of GC.

In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene

Single nucleotide polymorphisms (SNPs) are one of the most common determinants and potential biomarkers of human disease pathogenesis. SNPs could alter amino acid residues, leading to the loss of structural and functional integrity of the encoded protein. In humans, members of the minichromosome maintenance (MCM) family play a vital role in cell proliferation and have a significant impact on tumorigenesis. Among the MCM members, the molecular mechanism of how missense SNPs of minichromosome maintenance complex component 6 (MCM6) contribute to DNA replication and tumor pathogenesis is underexplored and needs to be elucidated. Hence, a series of sequence and structure-based computational tools were utilized to determine how mutations affect the corresponding MCM6 protein. From the dbSNP database, among 15,009 SNPs in the MCM6 gene, 642 missense SNPs (4.28%), 291 synonymous SNPs (1.94%), and 12,500 intron SNPs (83.28%) were observed. Out of the 642 missense SNPs, 33 were found to be deleterious during the SIFT analysis. Among these, 11 missense SNPs (I123S, R207C, R222C, L449F, V456M, D463G, H556Y, R602H, R633W, R658C, and P815T) were found as deleterious, probably damaging, affective and disease-associated. Then, I123S, R207C, R222C, V456M, D463G, R602H, R633W, and R658C missense SNPs were found to be highly harmful. Six missense SNPs (I123S, R207C, V456M, D463G, R602H, and R633W) had the potential to destabilize the corresponding protein as predicted by DynaMut2. Interestingly, five high-risk mutations (I123S, V456M, D463G, R602H, and R633W) were distributed in two domains (PF00493 and PF14551). During molecular dynamics simulations analysis, consistent fluctuation in RMSD and RMSF values, high Rg and hydrogen bonds in mutant proteins compared to wild-type revealed that these mutations might alter the protein structure and stability of the corresponding protein. Hence, the results from the analyses guide the exploration of the mechanism by which these missense SNPs of the MCM6 gene alter the structural integrity and functional properties of the protein, which could guide the identification of ways to minimize the harmful effects of these mutations in humans.

Multi-omics analysis of the oncogenic role of optic atrophy 1 in human cancer

OBJECTIVE

To investigate the prognostic significance of optic atrophy 1 (OPA1) in pan-cancer and analyze the relationship between OPA1 and immune infiltration in cancer.

RESULTS

OPA1 exhibited high expression levels or mutations in various types of tumor cells, and its expression levels were significantly correlated with the survival rate of tumor patients. In different tumor tissues, there was a notable positive correlation between OPA1 expression levels and the infiltration of cancer-associated fibroblasts in the immune microenvironment. Additionally, OPA1 and its related genes were found to be involved in several crucial biological processes, including protein phosphorylation, protein import into the nucleus, and protein binding.

CONCLUSION

OPA1 is highly expressed or mutated in numerous tumors and is strongly associated with protein phosphorylation, patient prognosis, and immune cell infiltration. OPA1 holds promise as a novel prognostic marker with potential clinical utility across various tumor types.

METHODS

We examined OPA1 expression in pan-cancer at both the gene and protein levels using various databases, including Tumor Immune Estimation Resource 2.0 (TIMER 2.0), Gene Expression Profiling Interactive Analysis (GEPIA2), UALCAN, and The Human Protein Atlas (HPA). We utilized the Kaplan-Meier plotter and GEPIA datasets to analyze the relationship between OPA1 expression levels and patient prognosis. Through the cBioPortal database, we detected OPA1 mutations in tumors and examined their relationship with patient prognosis. We employed the TIMER 2.0 database to explore the correlation between OPA1 expression levels in tumor tissue and the infiltration of cancer-associated fibroblasts in the immune microenvironment. Furthermore, we conducted a gene search associated with OPA1 and performed enrichment analysis to identify the main signaling pathways and biological processes linked to them.

Extracellular vesicle small RNA cargo discriminates non-cancer donors from pediatric B-lymphoblastic leukemia patients

Pediatric B-acute lymphoblastic leukemia (B-ALL) is a disease of abnormally growing B lymphoblasts. Here we hypothesized that extracellular vesicles (EVs), which are nanosized particles released by all cells (including cancer cells), could be used to monitor B-ALL severity and progression by sampling plasma instead of bone marrow. EVs are especially attractive as they are present throughout the circulation regardless of the location of the originating cell. First, we used nanoparticle tracking analysis to compare EVs between non-cancer donor (NCD) and B-ALL blood plasma; we found that B-ALL plasma contains more EVs than NCD plasma. We then isolated EVs from NCD and pediatric B-ALL peripheral blood plasma using a synthetic peptide-based isolation technique (Vn96), which is clinically amenable and isolates a broad spectrum of EVs. RNA-seq analysis of small RNAs contained within the isolated EVs revealed a signature of differentially packaged and exclusively packaged RNAs that distinguish NCD from B-ALL. The plasma EVs contain a heterogenous mixture of miRNAs and fragments of long non-coding RNA (lncRNA) and messenger RNA (mRNA). Transcripts packaged in B-ALL EVs include those involved in negative cell cycle regulation, potentially suggesting that B-ALL cells may use EVs to discard gene sequences that control growth. In contrast, NCD EVs carry sequences representative of multiple organs, including brain, muscle, and epithelial cells. This signature could potentially be used to monitor B-ALL disease burden in pediatric B-ALL patients via blood draws instead of invasive bone marrow aspirates.

Comprehensive Analysis of Tumor Microenvironment Reveals Prognostic ceRNA Network Related to Immune Infiltration in Sarcoma

PURPOSE

Sarcoma is the second most common solid tumor type in children and adolescents. The high level of tumor heterogeneity as well as aggressive behavior of sarcomas brings serious difficulties to developing effective therapeutic strategies for clinical application. Therefore, it is of great importance to identify accurate biomarkers for early detection and prognostic prediction of sarcomas.

EXPERIMENTAL DESIGN

In this study, we characterized three subtypes of sarcomas based on tumor immune infiltration levels (TIIL), and constructed a prognosis-related competing endogenous RNA (ceRNA) network to investigate molecular regulations in the sarcoma tumor microenvironment (TME). We further built a subnetwork consisting of mRNAs and lncRNAs that are targets of key miRNAs and strongly correlated with each other in the ceRNA network. After validation using public data and experiments in vivo and in vitro, we deeply dug the biological role of the miRNAs and lncRNAs in a subnetwork and their impact on TME.

RESULTS

Altogether, 5 miRNAs (hsa-mir-125b-2, hsa-mir-135a-1, hsa-mir92a-2, hsa-mir-181a-2, and hsa-mir-214), 3 lncRNAs (LINC00641, LINC01146, and LINC00892), and 10 mRNAs (AGO2, CXCL10, CD86, CASP1, IKZF1, CD27, CD247, CD69, CCR2, and CSF2RB) in the subnetwork were identified as vital regulators to shape the TME. On the basis of the systematic network, we identified that trichostatin A, a pan-HDAC inhibitor, could potentially regulate the TME of sarcoma, thereby inhibiting the tumor growth.

CONCLUSIONS

Our study identifies a ceRNA network as a promising biomarker for sarcoma. This system provides a more comprehensive understanding and a novel perspective of how ceRNAs are involved in shaping sarcoma TME.