Overexpression of CDCA8 Predicts Poor Prognosis and Promotes Tumor Cell Growth in Prostate Cancer

Identification of exosome-related gene features in psoriasis and construction of a diagnostic model via integrated bioinformatics analysis

BACKGROUND

Psoriasis, a chronic inflammatory dermatosis, profoundly affects patients' well-being. Although exosomes are key in disease etiology, diagnostic potentials of associated genes are unclear. Our research targeted bioinformatics-based characterization of exosome-related genes and the development of a diagnostic model for psoriasis.

METHODS

Within GSE30999 dataset, an exosome-centric diagnostic model was formulated. Its diagnostic capability was appraised in GSE30999 and GSE14905 cohorts. Human keratinocytes (HaCaT) were used to construct psoriasis cell model. qRT-PCR was used to detect expression of diagnostic genes in the model. Construction of a protein-protein interaction network was undertaken, complemented by enrichment analyses. Comparative evaluation of immunological microenvironments between healthy controls and disease cohort was executed. Prospective miRNAs and transcription factors (TFs) were prognosticated using online prediction tools.

RESULTS

A distinctive diagnostic model with superior diagnostic performance, evidenced by an AUC value greater than 0.88, was unveiled. The model featured seven exosome-related biomarker genes (CCNA2, NDC80, CCNB1, CDCA8, KIF11, CENPF, and ASPM) interwoven in a complex network and chiefly linked in the regulation of Cell Cycle and Cellular Senescence. These genes were significantly overexpressed in psoriasis cell models. Immune infiltration analysis distinguished profound discrepancies (p < 0.05) in immunological microenvironment between disease and control groups with enrichment of T cells CD4 memory activated, Macrophages M1, and Neutrophils in the disease group. 11 miRNAs and 27 TFs were identified.

CONCLUSION

The study introduces a new and potent diagnostic model for psoriasis, with selection of credible exosome-associated biomarker genes. These discoveries aid in clinical diagnostics and research on exosome involvement in psoriasis.

Identification of biomarkers associated with pathological tumor staging and their utility in the diagnosis and prognosis of prostate cancer

OBJECTIVE

Pathological tumor (pT) staging plays a crucial role in prostate cancer (PCa) diagnosis. This study aimed to identify pT stage-associated biomarkers and explored their utility in PCa prognosis.

METHODS

GSE69223 was used to identify potential targets differentially expressed between level 2 of pT staging (pT2) and level 3 of pT staging (pT3). Quantitative reverse transcriptase-polymerase chain reaction and immunohistochemistry were performed on tissues from patients with PCa to screen the pT stage-associated targets and to explore the prognostic value of these targets in PCa.

RESULTS

CENPI and SLC38A11 were most significantly upregulated, whereas ANO6 and KANK2 were mostly decreased in pT3 tumors compared with pT2 staging. ANO6 levels were negatively associated with preoperative prostate-specific antigen (PSA) levels, lymph node staging (N staging), Gleason score, and overall survival (OS); CENPI was positively associated with preoperative PSA levels, N staging, and OS, but was not associated with the Gleason score; SLC38A11 and KANK2 were not associated with OS. ANO6 and KANK2 were correlated with neutrophil markers, whereas CENPI was correlated with macrophage M2 types.

CONCLUSION

We identified 4 reliable PCa biomarkers associated with pT staging that would be valuable for diagnosing and determining PCa prognosis.

CDCA8 Facilitates Tumor Proliferation and Predicts a Poor Prognosis in Hepatocellular Carcinoma

CDCA8 expression is abnormally high in a variety of cancers and involved in the biological process of tumor malignancy. In this study, we discovered that the expression of CDCA8 was up-regulated in hepatocellular carcinoma cancer (HCC) tissues and high levels of CDCA8 are associated with larger tumor size, higher AFP (α-fetoprotein) levels, and unfavorable prognosis. Cell functional experiments revealed that CDCA8 silencing remarkably inhibited proliferation and promoted apoptosis in SNU-387 and Hep-3B cells. The results of flow cytometry showed that CDCA8 regulated CDK1 and cyclin B1 expression to arrest at the S phase, inhibited proliferation, and promoted apoptosis. In addition, in vivo studies have confirmed that silencing CDCA8 could regulate CDK1/cyclin B1 signaling axis to inhibit the growth of HCC xenograft tumor. Our study demonstrated CDCA8 acts an oncogene to facilitate cell proliferation of HCC via regulating cell cycle, indicating the promising application value of CDCA8 for HCC diagnosis and clinical treatment.

CDCA8, a mitosis-related gene, as a prospective pan-cancer biomarker: implications for survival prognosis and oncogenic immunology

BACKGROUND

Human cell division cycle-associated protein 8 (CDCA8), a critical regulator of mitosis, has been identified as a prospective prognostic biomarker in several cancer types, including breast, colon, and lung cancers. This study analyzed the diagnostic/prognostic potential and clinical implications of CDCA8 across diverse cancers.

METHODS

Bioinformatics and molecular experiments.

RESULTS

Analyzing TCGA data via TIMER2 and GEPIA2 databases revealed significant up-regulation of CDCA8 in 23 cancer types compared to normal tissues. Prognostically, elevated CDCA8 expression correlated with poorer overall survival in KIRC, LUAD, and SKCM, emphasizing its potential as a prognostic marker. UALCAN analysis demonstrated CDCA8 up-regulation based on clinical variables, such as cancer stage, race, and gender, in these cancers. Epigenetic exploration indicated reduced CDCA8 promoter methylation levels in Kidney Renal Clear Cell Carcinoma (KIRC), Lung Adenocarcinoma (LUAD), and Skin Cutaneous Melanoma (SKCM) tissues compared to normal controls. Promoter methylation and mutational analyses showcased a hypomethylation and low mutation rate for CDCA8 in these cancers. Correlation analysis revealed positive associations between CDCA8 expression and infiltrating immune cells, particularly CD8+ and CD4+ T cells. Protein-protein interaction (PPI) network analysis unveiled key interacting proteins, while gene enrichment analysis highlighted their involvement in crucial cellular processes and pathways. Additionally, exploration of CDCA8-associated drugs through DrugBank presented potential therapeutic options for KIRC, LUAD, and SKCM. In vitro validation using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) confirmed elevated CDCA8 expression in LUAD cell lines (A549 and H1299) compared to control cell lines (Beas-2B and NL-20).

CONCLUSION

This study provides concise insights into CDCA8's multifaceted role in KIRC, LUAD, and SKCM, covering expression patterns, diagnostic and prognostic relevance, epigenetic regulation, mutational landscape, immune infiltration, and therapeutic implications.

Disulfidptosis-related signatures for prognostic and immunotherapy reactivity evaluation in hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC) is one of the most common cancers in the world and a nonnegligible health concern on a worldwide scale. Disulfidptosis is a novel mode of cell death, which is mainly caused by the collapse of the actin skeleton. Although many studies have demonstrated that various types of cell death are associated with cancer treatment, the relationship between disulfidptosis and HCC has not been elucidated.

METHODS

Here, we mainly applied bioinformatics methods to construct a disulfidptosis related risk model in HCC patients. Specifically, transcriptome data and clinical information were downloaded from the Gene Expression Omnibus (GEO), International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA) database. A total of 45 co-expressed genes were extracted between the disulfidptosis-related genes (DRGs) and the differential expression genes (DEGs) of liver hepatocellular carcinoma (LIHC) in the TCGA database. The LIHC cohort was divided into two subgroups with different prognosis by k-mean consensus clustering and functional enrichment analysis was performed. Subsequently, three hub genes (CDCA8, SPP2 and RDH16) were screened by Cox regression and LASSO regression analysis. In addition, a risk signature was constructed and the HCC cohort was divided into high risk score and low risk score subgroups to compare the prognosis, clinical features and immune landscape between the two subgroups. Finally, the prognostic model of independent risk factors was constructed and verified.

CONCLUSIONS

High DRGs-related risk score in HCC individuals predict poor prognosis and are associated with poor immunotherapy response, which indicates that risk score assessment model can be utilized to guide clinical treatment strategy.

Prognostic value of cell division cycle-associated protein-3 in prostate cancer

BACKGROUND

The study was aimed to explore cell division cycle-associated protein-3 (CDCA3) expression and its correlation with clinicopathological characteristics, and identification of co-expressed genes of CDCA3 in prostate cancer (PCa).

METHODS

Data for CDCA3 mRNA expression in PCa were obtained from The Cancer Genome Atlas database. Furtherly, CDCA3 protein expression was examined by immunohistochemistry in 80 cases, including 20 normal prostate samples and 60 PCa samples. Then we used "survival" package to obtain the differentially expressed CDCA3 mRNA associated with prognosis of PCa patients. "pROC" package was used to analyze receiver operating characteristic of CDCA3. We used chi-square test, Kruskal-Wallis test and Wilcoxon rank sum test to identify clinicopathological parameters that correlated with CDCA3 expression. In order to determine the effects of CDCA3 expression and clinicopathological parameters on survival, univariate cox regression analysis was performed. Finally, the co-expressed genes of CDCA3 in PCa were explored by search tool for the retrieval of interacting genes, Kyoto encyclopedia of genes and genomes enrichment analysis and Spearman correlation analysis.

RESULTS

In this study, we found that CDCA3 expression was increased in PCa. PCa patients with higher CDCA3 expression had poor outcomes. In terms of receiver operating characteristic, CDCA3 had an area under the curve of 0.857. High CDCA3 expression was positively correlated with advanced T stage, N stage, Gleason score, and served as an independent predictor of progress free interval in PCa patients. Then 20 proteins closely related to CDCA3 were screened through STRING website. Functional enrichment analysis revealed that, Kyoto encyclopedia of genes and genomes pathway was mainly enriched in cell cycle, including 6 genes, BUB1, CCNA2, CDK1, CDC20, TTK, and CCNB2.

CONCLUSION

CDCA3 is significantly associated with the prognosis of PCa, which may be an indicator of the diagnosis and prognosis of PCa and a new therapeutic target.

Single-cell RNA sequencing uncovers heterogeneous transcriptional signatures in tumor-infiltrated dendritic cells in prostate cancer

Prostate cancer (PCa) is one of the two solid malignancies in which a higher T cell infiltration in the tumor microenvironment (TME) corresponds with a worse prognosis for the tumor. The inability of T cells to eliminate tumor cells despite an increase in their number reinforces the possibility of impaired antigen presentation. In this study, we investigated the TME at single-cell resolution to understand the molecular function and communication of dendritic cells (DCs) (as professional antigen-presenting cells). According to our data, tumor cells stimulate the migration of immature DCs to the tumor site by inducing inflammatory chemokines. Many signaling pathways such as TNF-α/NF-κB, IL2/STAT5, and E2F up-regulated after DCs enter the tumor location. In addition, some molecules such as GPR34 and SLCO2B1 decreased on the surface of DCs. The analysis of molecular and signaling alterations in DCs revealed some suppression mechanisms of tumors, such as removing mature DCs, reducing the DC's survival, inducing anergy or exhaustion in the effector T cells, and enhancing the differentiation of T cells to Th2 and T_regs. In addition, we investigated the cellular and molecular communication between DCs and macrophages in the tumor site and found three molecular pairs including CCR5/CCL5, CD52/SIGLEC10, and HLA-DPB1/TNFSF13B. These molecular pairs are involved in the migration of immature DCs to the TME and disrupt the antigen-presenting function of DCs. Furthermore, we presented new therapeutic targets by the construction of a gene co-expression network. These data increase our knowledge of the heterogeneity and the role of DCs in PCa TME.