CDCA2 promotes the proliferation of colorectal cancer cells by activating the AKT/CCND1 pathway in vitro and in vivo

Mechanistic insights into CDCA gene family-mediated glioblastoma progression: implications for diagnosis, prognosis, and therapeutic targeting

BACKGROUND

Glioblastoma (GBM) is a highly aggressive brain tumor characterized by poor prognosis and limited therapeutic options. Understanding the molecular mechanisms driving GBM progression is essential for developing more effective diagnostic and therapeutic approaches. Specifically, investigating Cell Division Cycle-Associated (CDCA) genes offers new perspectives on cell cycle regulation and the proliferation of GBM cells, which are key factors in tumor growth and resistance to treatment. These genes have not been extensively studied in GBM, making them a promising area for targeted research and potential therapeutic interventions. This project was launched to elucidate the pathogenic, diagnostic, and therapeutic roles of CDCA genes in GBM.

METHODOLOGY

Total RNA was extracted from GBM cell lines followed by RT-qPCR to analyze the expression of CDCA genes. The expression validation, prognostic significance, and mutational analysis of CDCA genes were performed using various databases. Functional assays, including gene knockdown, colony formation, proliferation, and wound healing, were conducted in U87MG cells to assess the role of CDCA7 and CDCA8 in GBM.

RESULTS

The expression analysis of CDCA genes in 12 GBM cell lines and 6 normal brain cell lines revealed significant overexpression of these genes in GBM. ROC curve analysis demonstrated excellent diagnostic potential, with AUC values of 1 for most genes. This indicates that CDCA gene expression effectively distinguishes GBM cells from normal brain cells. Validation using additional TCGA data confirmed the upregulation of these genes in GBM tumors, with significant association to key cancer-related pathways. Survival analysis showed that higher expression of CDCA genes correlated with poor prognosis in GBM patients. Mutation, CNV, and methylation analyses revealed alterations in these genes, further supporting their role in GBM. Additionally, CDCA gene expression was linked to immune modulation and cell cycle-related functions, suggesting their involvement in immune evasion and tumor proliferation. Knockdown experiments of CDCA7 and CDCA8 in U87MG cells demonstrated a reduction in cell proliferation, colony formation, and migration, highlighting their potential as therapeutic targets.

CONCLUSION

Overall, our findings suggest that CDCA genes could serve as both diagnostic biomarkers and therapeutic targets for GBM.

CDCA4 promotes bladder cancer progression by JAK/STAT signaling pathway

BACKGROUND

The cell division cycle associated 4 (CDCA4) plays a crucial role in various biological processes and is implicated in the progression of several tumors, however, the mechanisms by which it operates in bladder cancer remain unclear.

METHODS

Utilizing data from the TCGA and GEO datasets of bladder cancer patients, we analyzed the expression of CDCA4 and its prognostic significance. We then constructed stable overexpression and knockdown bladder cancer cell lines to investigate the effects of CDCA4 on cell proliferation, migration, and invasion in vitro, employing CCK-8, colony formation, transwell, and wound healing assays. Additionally, we validated the potential downstream pathways of CDCA4 through data analysis and western blot assays.

RESULTS

Our study found that CDCA4 expression is elevated in bladder cancer cells and correlates with poor prognosis in patients. Inhibition of CDCA4 expression reduces the proliferation, migration, and invasion of bladder cancer cells, as well as inhibit the epithelial-mesenchymal transition (EMT) process. Conversely, promoting CDCA4 expression enhances the malignancy of bladder cancer cells. Investigation into the mechanism of CDCA4 revealed that it promotes bladder cancer progression by activating the JAK/STAT signaling pathway, and the JAK inhibitor AG490 can reverse the promoting effects of CDCA4.

CONCLUSION

Our findings suggest that CDCA4 enhances the proliferation, migration, and invasion of bladder cancer cells by positively regulating the JAK/STAT signaling pathway, indicating that CDCA4 may serve as a novel molecular target for bladder cancer treatment.

The Role of CDCA2 in tumor genesis, prognosis and future treatments

The Cell Division Cycle Associated 2 (CDCA2) gene is responsible for encoding a targeting subunit of cell-cycle associated protein. CDCA2 plays a crucial role in various cellular processes, including chromosome segregation and decondensation, nuclear envelope reassembly, microtubule assembly, and DNA damage response. Additionally, CDCA2 is involved in multiple signaling pathways such as the PI3K/Akt pathway and p53 pathway. Undoubtedly, there exists a strong association between CDCA2 and cancer. Numerous studies have reported that elevated levels of CDCA2 are correlated with poor prognosis and several clinicopathological characteristics like tumor size and TNM stage across different types of cancer. Therefore, CDCA2 holds great potential as both a biomarker for diagnosis and a therapeutic target for interventions such as targeted therapies or immunotherapy. Given its promising prospects in scientific research and clinical applications, it is imperative for researchers to delve into the underlying mechanisms of CDCA2 and explore its utilization.

Role of cell division cycle-associated proteins in regulating cell cycle and promoting tumor progression

The cell division cycle-associated protein (CDCA) family is important in regulating cell division. High CDCA expression is significantly linked to tumor development. This review summarizes clinical and basic studies on CDCAs conducted in recent decades. Furthermore, it systematically introduces the molecular expression and function, key mechanisms, cell cycle regulation, and roles of CDCAs in tumor development, cell proliferation, drug resistance, invasion, and metastasis. Additionally, it presents the latest research on tumor diagnosis, prognosis, and treatment targeting CDCAs. These findings are pivotal for further in-depth studies on the role of CDCAs in promoting tumor development and provide theoretical support for their application as new anti-tumor targets.

Bioinformatic Analyses and Integrated Machine Learning to Predict prognosis and therapeutic response Based on E3 Ligase-Related Genes in colon cancer

Purpose: Colorectal cancer is the third most common cause of cancer death worldwide. We probed the correlations between E3 ubiquitin ligase (E3)-related genes (ERGs) and colon cancer prognosis and immune responses. Methods: Gene expression profiles and clinical data of patients with colon cancer were acquired from the TCGA, GTEx, GSE17537 and GSE29621 databases. ERGs were identified by coexpression analysis. WGCNA and differential expression analysis were subsequently conducted. Consensus clustering identified two molecular clusters. Differential analysis of the two clusters and Cox regression were then conducted. A prognostic model was constructed based on 10 machine learning algorithms and 92 algorithm combinations. The CIBERSORT, ssGSEA and TIMER algorithms were used to estimate immune infiltration. The OncoPredict algorithm and The Cancer Immunome Atlas (TCIA) predicted susceptibility to chemotherapeutic and targeted drugs and immunotherapy sensitivity. CCK-8, scratch-wound and RT‒PCR assays were subsequently conducted. Results: Two ERG-associated clusters were identified. The prognosis and immune function of patients in cluster A were superior to those of patients in cluster B. We constructed a prognostic model with perfect predictive capability and validated it in internal and external colon cancer datasets. We discovered significant discrepancies in immune infiltration and immune checkpoints between different risk groups. The group with high-risk had a reduced half-maximal inhibitory concentration (IC50) for some routine antitumor drugs and reduced susceptibility to immunotherapy. In vitro experiments demonstrated that the ectopic expression of PRELP inhibited the migration and proliferation of CRC cells. Conclusions: In summary, we identified novel molecular subtypes and developed a prognostic model, which will help a lot in the advancement of better forecasting and therapeutic approaches.

[Overexpression of CDHR2 inhibits proliferation of breast cancer cells by inhibiting the PI3K/Akt pathway]

OBJECTIVE

To investigate the mechanism by which CDHR2 overexpression inhibits breast cancer cell growth and cell cycle pragression via the PI3K/Akt signaling pathway.

METHODS

Bioinformatic analysis was performed to investigate CDHR2 expression in breast cancer and its correlation with survival outcomes of the patients. Immunohistochemistry was used to examine CDHR2 expressions in surgical specimens of tumor and adjacent tissues from 10 patients with breast cancer. CDHR2 expression levels were also detected in 5 breast cancer cell lines and a normal human mammary epithelial cell line using qRT-PCR and Western blotting. Breast cancer cell lines MDA-MB-231 and MCF7 with low CDHR2 expression were transfected with a CDHR2-overexpressing plasmid, and the changes in cell proliferation and cell cycle were evaluated using CCK-8 assay, EdU assay, and cell cycle assay; the changes in expressions of PI3K/Akt signaling pathway and cell cycle pathway proteins were detected with Western blotting.

RESULTS

Bioinformatic analysis showed low CDHR2 expression level in both breast cancer and adjacent tissues without significant difference between them (P > 0.05), but breast cancer patients with a high expression of CDHR2 had a more favorable prognosis. Immunohistochemistry, qRT-PCR and Western blotting showed that the expression of CDHR2 was significantly down-regulated in breast cancer tissues and breast cancer cells (P < 0.01), and its overexpression strongly inhibited cell proliferation, caused cell cycle arrest, and significantly inhibited PI3K and Akt phosphorylation and the expression of cyclin D1.

CONCLUSION

Overexpression of CDHR2 inhibits proliferation and causes cell cycle arrest in breast cancer cells possibly by inhibiting the PI3K/Akt signaling pathway.

Integrated bioinformatics analysis and experimental validation identified CDCA families as prognostic biomarkers and sensitive indicators for rapamycin treatment of glioma

The cell division cycle associated (CDCA) genes regulate the cell cycle; however, their relationship with prognosis in glioma has been poorly reported in the literature. The Cancer Genome Atlas (TCGA) was utilized to probe the CDCA family in relation to the adverse clinical features of glioma. Glioma single-cell atlas reveals specific expression of CDCA3, 4, 5, 8 in malignant cells and CDCA7 in neural progenitor cells (NPC)-like malignant cells. Glioma data from TCGA, the China Glioma Genome Atlas Project (CGGA) and the gene expression omnibus (GEO) database all demonstrated that CDCA2, 3, 4, 5, 7 and 8 are prognostic markers for glioma. Further analysis identified CDCA2, 5 and 8 as independent prognostic factors for glioma. Lasso regression-based risk models for CDCA families demonstrated that high-risk patients were characterized by high tumor mutational burden (TMB), low levels of microsatellite instability (MSI), and low tumor immune dysfunction and rejection (TIDE) scores. These pointed to immunotherapy for glioma as a potentially viable treatment option Further CDCA clustering suggested that the high CDCA subtype exhibited a high macrophage phenotype and was associated with a higher antigen presentation capacity and high levels of immune escape. In addition, hsa-mir-15b-5p was predicted to be common regulator of CDCA3 and CDCA4, which was validated in U87 and U251 cells. Importantly, we found that CDCAs may indicate response to drug treatment, especially rapamycin, in glioma. In summary, our results suggest that CDCAs have potential applications in clinical diagnosis and as drug sensitivity markers in glioma.

E2F3/CDCA2 reduces radiosensitivity in gastric adenocarcinoma by activating PI3K/AKT pathway

OBJECTIVES

Gastric adenocarcinoma is primarily responsible for tumor-associated deaths and its incidence is increasing global. CDCA2 is a nuclear protein binding to protein phosphatase one γ (PP1γ) and plays a pro-oncogenic role in tumors. This study aimed to elucidate the biological function of CDCA2 in gastric adenocarcinoma progression and radiosensitivity, as well as its potential mechanisms.

METHODS

Differentially expressed mRNAs in gastric adenocarcinoma were obtained by bioinformatics and upstream regulatory factors were predicted. The correlation between their expressions was analyzed. The expressions of E2F3 and CDCA2 in cells were assayed by qRT-PCR and their regulatory relationship was validated by molecular experiments. Cell viability was tested via CCK-8. Cell proliferation and survival after radiotherapy were determined by colony formation assay. The expressions of PI3K/AKT pathway-related proteins were assessed through western blot.

RESULTS

CDCA2 was significantly upregulated in gastric adenocarcinoma tissues and cells, promoted cell proliferation, and reduced radiosensitivity. The impact of CDCA2 on cell proliferation and radiosensitivity was reversed by the PI3K/AKT inhibitor. Furthermore, the upstream transcription factor of CDCA2 was found to be E2F3, which was highly expressed in gastric adenocarcinoma. The binding relationship between the two was validated by dual luciferase and ChIP experiments. The rescue experiment showed that E2F3 activated CDCA2 to drive cell proliferation and reduce radiosensitivity through PI3K/AKT pathway in gastric adenocarcinoma.

CONCLUSION

In summary, this study found that E2F3 activated CDCA2 to drive cell proliferation and reduce radiosensitivity in gastric adenocarcinoma through the PI3K/AKT pathway, suggesting that E2F3/CDCA2 axis is a new therapeutic target for gastric adenocarcinoma.

ADVANCES IN KNOWLEDGE

1. CDCA2 reduced the radiosensitivity of gastric adenocarcinoma cells;2. CDCA2 reduced the radiosensitivity of gastric adenocarcinoma cells through the PI3K/AKT pathway;3. E2F3 activated CDCA2 to reduce the radiosensitivity of gastric adenocarcinoma cells through the PI3K/AKT pathway.

Network pharmacology and bioinformatics to identify the molecular mechanisms of Gleditsiae Spina against colorectal cancer

Objective

In this study, network pharmacology, bioinformatics and molecular docking were used to explore the active phytochemicals, hub genes, and potential molecular mechanisms of Gleditsiae Spina in treating of colorectal cancer..

Methods

The targets of Gleditsiae Spina, and targets related to CRC were derived from databases. We identified the hub genes for Gleditsiae Spina anti-colorectal cancer following the protein-protein-interaction (PPI) network. Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment were used to analyze the hub genes from a macro perspective. Finally, we verified the hub genes by molecular docking, GEPIA, HPA, and starBase database.

Results

We identified nine active phytochemicals and 36 intersection targets. The GO enrichment analysis results showed that Gleditsiae Spina may be involved in gene targets affecting multiple biological processes, including response to radiation, response to ionizing radiation, cyclin-dependent protein kinase holoenzyme complex, serine/threonine protein kinase complex, cyclin-dependent protein serine/threonine kinase regulator activity and protein kinase regulator activity. KEGG enrichment analysis results indicated that the P53 signaling pathway, IL-17 signaling pathway, Toll-like receptor signaling pathway, PI3K-Akt signaling pathway, and JAK-STAT signaling pathway were mainly related to the effect of Gleditsiae Spina on colorectal cancer. Molecular docking analysis suggested that the active phytochemicals of Gleditsiae Spina could combine well with hub genes (PTGS1, PIK3CG, CCND1, CXCL8 and ADRB2).

Conclusion

This study provides clues for further study of anti-CRC phytochemicals as well as their mechanisms of provides a basis for their development model.

BUB1, BUB1B, CCNA2, and CDCA8, along with miR-524-5p, as clinically relevant biomarkers for the diagnosis and treatment of endometrial carcinoma

BACKGROUND

Endometrial carcinoma (EC) is a malignant tumor of the female reproductive tract that has been associated with increased morbidity and mortality. This study aimed to identify biomarkers and potential therapeutic targets for EC.

METHODS

A publicly available transcriptome data set comprising 587 EC cases was subjected to a comprehensive bioinformatics analysis to identify candidate genes responsible for EC occurrence and development. Next, we used clinical samples and cell experiments for validation.

RESULTS

A total of 1,617 differentially expressed genes (DEGs) were identified. Analysis of patient survival outcomes revealed that BUB1, BUB1B, CCNA2, and CDCA8 were correlated with prognosis in patients with EC. Moreover, assessment of clinical samples confirmed that BUB1, BUB1B, CCNA2 and CDCA8 were strongly expressed in EC tissues. Additionally, bioinformatics and luciferase reporter assays confirmed that miR-524-5p can target and regulate these four genes. Overexpression of miR-524-5p significantly inhibited EC Ishikawa cells viability, migration and invasion. Inhibition of miR-524-5p showed the opposite results.

CONCLUSIONS

Expression of miR-524-5p reduced the migration and invasion of Ishikawa EC cells, and decreased BUB1, BUB1B, CCNA2, and CDCA8 expression. miR-524-5p, as well as BUB1, BUB1B, CCNA2, and CDCA8, may be clinically relevant biomarkers for the diagnosis and treatment of EC.

A pan-cancer analysis reveals the diagnostic and prognostic role of CDCA2 in low-grade glioma

BACKGROUND

Cell division cycle associated 2 (CDCA2), a member of the cell division cycle associated proteins (CDCA) family, is crucial in the regulation of cell mitosis and DNA repair. CDCA2 was extensively examined in our work to determine its role in a wide range of cancers.

METHODS

CDCA2 differential expression was studied in pan-cancer and in diverse molecular and immunological subgroups in this research. Additionally, the diagnostic and prognostic significance of CDCA2 in pan-cancer was also evaluated using receiver operating characteristic (ROC) and Kaplan-Meier (KM) curves. Prognostic value of CDCA2 in distinct clinical subgroups of lower grade glioma (LGG) was also investigated and a nomogram was constructed. Lastly, potential mechanisms of action of CDCA2 were interrogated including biological functions, ceRNA networks, m6A modification and immune infiltration.

RESULTS

CDCA2 is shown to be differentially expressed in a wide variety of cancers. Tumors are diagnosed and forecasted with a high degree of accuracy by CDCA2, and the quantity of expression CDCA2 is linked to the prognosis of many cancers. Additionally, the expression level of CDCA2 in various subgroups of LGG is also closely related to prognosis. The results of enrichment analyses reveal that CDCA2 is predominantly enriched in the cell cycle, mitosis, and DNA replication. Subsequently, hsa-miR-105-5p is predicted to target CDCA2. In addition, 4 lncRNAs were identified that may inhibit the hsa-miR-105-5p/CDCA2 axis in LGG. Meanwhile, CDCA2 expression is shown to be associated to m6A-related genes and levels of immune cell infiltration in LGG.

CONCLUSION

CDCA2 can serve as a novel biomarker for the diagnosis and prognosis in pan-cancer, especially in LGG. For the development of novel targeted therapies in LGG, it may be a potential molecular target. However, to be sure, we'll need to do additional biological experiments to back up our results from bioinformatic predictions.

Zinc enhances the cell adhesion, migration, and self-renewal potential of human umbilical cord derived mesenchymal stem cells

BACKGROUND

Zinc (Zn) is the second most abundant trace element after Fe, present in the human body. It is frequently reported in association with cell growth and proliferation, and its deficiency is considered to be a major disease contributing factor.

AIM

To determine the effect of Zn on in vitro growth and proliferation of human umbilical cord (hUC)-derived mesenchymal stem cells (MSCs).

METHODS

hUC-MSCs were isolated from human umbilical cord tissue and characterized based on immunocytochemistry, immunophenotyping, and tri-lineage differentiation. The impact of Zn on cytotoxicity and proliferation was determined by MTT and Alamar blue assay. To determine the effect of Zn on population doubling time (PDT), hUC-MSCs were cultured in media with and without Zn for several passages. An in vitro scratch assay was performed to analyze the effect of Zn on the wound healing and migration capability of hUC-MSCs. A cell adhesion assay was used to test the surface adhesiveness of hUC-MSCs. Transcriptional analysis of genes involved in the cell cycle, proliferation, migration, and self-renewal of hUC-MSCs was performed by quantitative real-time polymerase chain reaction. The protein expression of Lin28, a pluripotency marker, was analyzed by immunocytochemistry.

RESULTS

Zn at lower concentrations enhanced the rate of proliferation but at higher concentrations (> 100 µM), showed concentration dependent cytotoxicity in hUC-MSCs. hUC-MSCs treated with Zn exhibited a significantly greater healing and migration rate compared to untreated cells. Zn also increased the cell adhesion rate, and colony forming efficiency (CFE). In addition, Zn upregulated the expression of genes involved in the cell cycle (CDC20, CDK1, CCNA2, CDCA2), proliferation (transforming growth factor β1, GDF5, hypoxia-inducible factor 1α), migration (CXCR4, VCAM1, VEGF-A), and self-renewal (OCT4, SOX2, NANOG) of hUC-MSCs. Expression of Lin28 protein was significantly increased in cells treated with Zn.

CONCLUSION

Our findings suggest that zinc enhances the proliferation rate of hUC-MSCs decreasing the PDT, and maintaining the CFE. Zn also enhances the cell adhesion, migration, and self-renewal of hUC-MSCs. These results highlight the essential role of Zn in cell growth and development.

CDCA2 promotes melanoma progression by inhibiting ubiquitin-mediated degradation of Aurora kinase A

BACKGROUND

Malignant melanoma is one of the most aggressive types of malignant skin cancer. CDCA2 is of great significance in many tumours, but its role in melanoma is unclear.

METHODS

CDCA2 expression in melanoma samples and benign melanocytic naevus tissues was detected by GeneChip and bioinformatics analysis as well as immunohistochemistry. The gene expression in melanoma cells was detected by quantitative PCR detecting system and Western blot. Melanoma models with gene knockdown or overexpression were constructed in vitro, and the effects of gene knockdown or overexpression on melanoma cell phenotype and tumour growth were evaluated by celigo cell counting, transwell, wound healing, flow cytometry and subcutaneous nude mouse tumour models. GeneChip primeview, Ingenuity pathway analysis and bioinformatics analysis combined with co-immunoprecipitation, protein stability experiments and ubiquitination analysis were performed to demonstrate the downstream genes and regulatory mechanism of CDCA2.

RESULTS

CDCA2 was highly expressed in melanoma tissues, and CDCA2 level was positively correlated with tumour stage and poor prognosis. CDCA2 downregulation significantly reduced cell migration and proliferation by inducing G1/S phase arrest and apoptosis. CDCA2 knockdown suppressed tumour growth and Ki67 expression in vivo. Mechanistically, CDCA2 inhibited ubiquitin-dependent Aurora kinase A (AURKA) protein degradation by acting on SMAD specific E3 ubiquitin protein ligase 1. AURKA downregulation inhibited melanoma cell proliferation and migration and promoted apoptosis. High expression of AURKA implied poor survival in melanoma patients. Moreover, AURKA knockdown constricted CDCA2 overexpression-induced proliferation and migration.

CONCLUSION

CDCA2, which was upregulated in melanoma, enhanced AURKA protein stability by inhibiting SMAD specific E3 ubiquitin protein ligase 1-mediated AURKA ubiquitination, thus playing a carcinogenic role in melanoma progression.

Knockdown of circ_0004585 enhances the chemosensitivity of colorectal cancer cells to 5-fluorouracil via the miR-874-3p/CCND1 axis

BACKGROUND

Colorectal cancer (CRC) is a serious threat to human health and is drug-resistant. Circular RNA _0004585 (circ_0004585) has been shown to be expressed in CRC, but whether it plays a role in CRC with chemoresistance remains unknown. Therefore, this study aimed to investigate the potential role of circ_0004585 in CRC with 5-fluorouracil (5-FU) resistance.

METHODS

The expression of related genes was detected by quantitative real-time polymerase chain reaction (qRT-PCR), and the protein expressions of cleaved caspase-3, cleaved caspase-9, and cyclin D1 (CCND1) were detected by western blot. Cell functions were identified using CCK-8, colony formation, flow cytometry, tube formation and transwell assays. The putative relationships between miR-874-3p and circ_0004585 or CCND1 were validated by dual-luciferase reporter assays. Animal experiments were conducted to verify the effect of circ_0004585 on 5-FU resistance in vivo.

RESULTS

Circ_0004585 was highly expressed in CRC tissues and cells, particularly in 5-FU-resistant CRC tissues and cells. Circ_0004585 knockdown enhanced 5-FU sensitivity to further inhibit CRC cell viability, colony formation, cell migration and invasion, and accelerate cell apoptosis. MiR-874-3p was the target of circ_0004585, and miR-874-3p depletion partially recovered the malignant behaviors of 5-FU-resistant CRC cells that were blocked by silencing of circ_0004585. In addition, CCND1 was the target of miR-874-3p, and overexpression of CCND1 was able to restore the malignant effects of 5-FU-resistant CRC cells that were repressed by miR-874-3p enrichment. Animal experiments confirmed that circ_0004585 knockdown inhibited the growth of CRC tumors and enhanced 5-FU sensitivity in vivo.

CONCLUSION

Circ_0004585 promotes the development of CRC and increases 5-FU resistance in CRC through the miR-874-3p/CCND1 axis. These results suggest that circ_0004585 may be a therapeutic target for 5-FU-ressitant CRC.

Copper metabolism patterns and tumor microenvironment characterization in colon adenocarcinoma

Copper participates in biological processes such as oxygen metabolism and iron uptake, and is a key factor in immune regulation. Based on the transcription data, mutation data and clinical data of colon adenocarcinoma (COAD) patients from The Cancer Genome Atlas (TCGA) database and Gene Expression Profiling Interactive Analysis (GEPIA2) database, the expression and mutation of copper metabolization-related genes in COAD patients and their correlation with tumor immune microenvironment were analyzed. Copper metabolization-related genes (CMRGs) were used to construct COAD subtypes and prognostic risk models for COAD patients. Furthermore, Kaplan-Meier (K-M) curve and receiver operating characteristic (ROC) curve were used to analyze the clinical value of COAD subtypes and genotyping models in distinguishing clinical characteristics of patients, and the immune infiltration of patients with different genotypes was analyzed. Finally, the clinical tissue samples from COAD patients were used to analyze the mRNA expression of genes in risk model between tumor and normal tissues by the method of Polymerase Chain Reaction (PCR). Of the 479 CMRGs, 68 genes were differentially expressed in normal and tumor tissues of COAD patients in TCGA and GEPIA2. Two subtypes with different clinical and immunological characteristics were identified by using 482 genes related to copper metabolism. Finally, a prognostic risk model consisting of five CMRGs was constructed, which could not only predict the prognosis of patients, but also correlated with COAD subtypes. In addition, some genes (glutathione S-transferase mu 1, cyclin D1and cytochrome P450 family 2 subfamily S member 1) in risk model was show significant difference between normal and tumor tissues. The COAD subtypes identified by CMRGs can help clinically distinguish patients with different prognosis and tumor progression, and the risk score can assist in clinical evaluation of patient prognosis, serving as a valuable biomarker for COAD immunotherapy.

Identification of Human Cell Cycle Phase Markers Based on Single-Cell RNA-Seq Data by Using Machine Learning Methods

The cell cycle is composed of a series of ordered, highly regulated processes through which a cell grows and duplicates its genome and eventually divides into two daughter cells. According to the complex changes in cell structure and biosynthesis, the cell cycle is divided into four phases: gap 1 (G1), DNA synthesis (S), gap 2 (G2), and mitosis (M). Determining which cell cycle phases a cell is in is critical to the research of cancer development and pharmacy for targeting cell cycle. However, current detection methods have the following problems: (1) they are complicated and time consuming to perform, and (2) they cannot detect the cell cycle on a large scale. Rapid developments in single-cell technology have made dissecting cells on a large scale possible with unprecedented resolution. In the present research, we construct efficient classifiers and identify essential gene biomarkers based on single-cell RNA sequencing data through Boruta and three feature ranking algorithms (e.g., mRMR, MCFS, and SHAP by LightGBM) by utilizing four advanced classification algorithms. Meanwhile, we mine a series of classification rules that can distinguish different cell cycle phases. Collectively, we have provided a novel method for determining the cell cycle and identified new potential cell cycle-related genes, thereby contributing to the understanding of the processes that regulate the cell cycle.

Restoration of Cardiomyogenesis in Aged Mouse Hearts by Voluntary Exercise

BACKGROUND

The human heart has limited capacity to generate new cardiomyocytes and this capacity declines with age. Because loss of cardiomyocytes may contribute to heart failure, it is crucial to explore stimuli of endogenous cardiac regeneration to favorably shift the balance between loss of cardiomyocytes and the birth of new cardiomyocytes in the aged heart. We have previously shown that cardiomyogenesis can be activated by exercise in the young adult mouse heart. Whether exercise also induces cardiomyogenesis in aged hearts, however, is still unknown. Here, we aim to investigate the effect of exercise on the generation of new cardiomyocytes in the aged heart.

METHODS

Aged (20-month-old) mice were subjected to an 8-week voluntary running protocol, and age-matched sedentary animals served as controls. Cardiomyogenesis in aged hearts was assessed on the basis of 15N-thymidine incorporation and multi-isotope imaging mass spectrometry. We analyzed 1793 cardiomyocytes from 5 aged sedentary mice and compared these with 2002 cardiomyocytes from 5 aged exercised mice, followed by advanced histology and imaging to account for ploidy and nucleation status of the cell. RNA sequencing and subsequent bioinformatic analyses were performed to investigate transcriptional changes induced by exercise specifically in aged hearts in comparison with young hearts.

RESULTS

Cardiomyogenesis was observed at a significantly higher frequency in exercised compared with sedentary aged hearts on the basis of the detection of mononucleated/diploid 15N-thymidine-labeled cardiomyocytes. No mononucleated/diploid 15N-thymidine-labeled cardiomyocyte was detected in sedentary aged mice. The annual rate of mononucleated/diploid 15N-thymidine-labeled cardiomyocytes in aged exercised mice was 2.3% per year. This compares with our previously reported annual rate of 7.5% in young exercised mice and 1.63% in young sedentary mice. Transcriptional profiling of young and aged exercised murine hearts and their sedentary controls revealed that exercise induces pathways related to circadian rhythm, irrespective of age. One known oscillating transcript, however, that was exclusively upregulated in aged exercised hearts, was isoform 1.4 of regulator of calcineurin, whose regulation and functional role were explored further.

CONCLUSIONS

Our data demonstrate that voluntary running in part restores cardiomyogenesis in aged mice and suggest that pathways associated with circadian rhythm may play a role in physiologically stimulated cardiomyogenesis.

Cell division cycle associated 2 (CDCA2) upregulation promotes the progression of hepatocellular carcinoma in a p53-dependant manner

Background

Elevated expression and oncogenic functions of cell division cycle associated 2 (CDCA2), an important mitotic regulator, have been demonstrated in several cancer types, however their involvement in hepatocellular carcinoma (HCC) has not been elucidated, and the underlying molecular mechanism remains unclear. This study aims to determine the role of CDCA2 in HCC and the underlying molecular mechanism.

Methods

The expression of CDCA2 in HCC was studied in 40 pairs of frozen and 48 pairs of paraffin-embedded HCC samples and paracancerous normal samples by qRT-PCR and immunohistochemistry, respectively, and using The Cancer Genome Atlas (TCGA) datasets. The cellular function of CDCA2 was studied in vitro in the HepG2, Huh7 and SK-Hep1 HCC cell lines.

Results

We found significantly upregulated CDCA2 expression in HCC, which was correlated with higher clinical stage, tumor grade and Glypican-3 (+). High CDCA2 expression was correlated with worse overall survival. CDCA2 promoted the proliferation of HCC cells by promoting G1/S transition through the upregulation and activation of CCND1/CDK4/6 and CCNE1/CDK2, enhanced the clonogenic ability, inhibited apoptosis in a p53/p21-dependent manner by inhibiting the p38 MAPK pathway and activating the JNK/c-Jun pathway, and promoted the migration of p53-mutant Huh7 cells by activating the epithelial-mesenchymal transition. Targeting CDCA2 reduced the chemoresistance of HCC cells to cisplatin. CDCA2 expression was also regulated by cyclophilin J.

Conclusions

This study revealed elevated expression of CDCA2 in HCC, possibly as a result of p53 dysregulation, which was associated with worse prognosis of patients. We confirmed the oncogenic role of CDCA2 in HCC in vitro and revealed some of the underlying molecular mechanisms. This study indicated the potential value of CDCA2 as a future target for the treatment of HCC.

Unraveling the Molecular Mechanism of Xuebijing Injection in the Treatment of Chronic Obstructive Pulmonary Disease by Combining Network Pharmacology and Affymetrix Array

Xuebijing injection (XBJ), one of the classical prescriptions for treating inflammation-related diseases, has been used to chronic obstructive pulmonary disease (COPD) in clinical practice. However, its molecular mechanism is still unclear. Network pharmacology combined with Affymetrix arrays and molecular docking techniques were applied to explore the molecular mechanism of XBJ for COPD. Predictive analysis of 728 active compounds in XBJ and 6 sets of Affymetrix arrays expression data resulted in 106 potential therapeutic targets. Next, based on the active compound-co-target network topology analysis, most of these targets were found to be modulated by quercetin, myricetin, and ellagic acid. Furthermore, protein–protein interaction (PPI) analysis revealed that the key targets may be EGFR, STAT3, AKT1, CCND1, MMP9, AR, ESR1, and PTGS2. Then, by constructing a component-target-pathway network, we found that XBJ was a multi-pathway, multi-target, multi-compound synergistic therapy for COPD, and four key targets were involved in the FoxO signaling pathway. Luteolin and salvianolic acid b had the optimal binding ability to several key proteins. Therefore, we hypothesize that quercetin, myricetin, ellagic acid, luteolin, and salvianolic acid b mainly contribute to the therapeutic effect of XBJ on COPD by modulating the FoxO signaling pathway by regulating EGFR, STAT3, AKT1, and CCND1. XBJ exerts anti-inflammatory and antioxidative stress effects through the PI3K/Akt/FoxO axis combined with MMP9, AR, ESR1, and PTGS2 to regulate other signaling pathways.

Identification of a 5-Nutrient Stress-Sensitive Gene Signature to Predict Survival for Colorectal Cancer

Background

The high heterogeneity and the complexity of the tumor microenvironment of colorectal cancer (CRC) have enhanced the difficulty of prognosis prediction based on conventional clinical indicators. Recent studies revealed that tumor cells could overcome various nutritional deficiencies by gene regulation and metabolic remodeling. However, whether differentially expressed genes (DEGs) in CRC cells under kinds of nutrient deficiency could be used to predict prognosis remained unveiled.

Methods

Three datasets (GSE70976, GSE13548, and GSE116087), in which colon cancer cells were, respectively, cultured in serum-free, glucose-free, or glutamine-free medium, were included to delineate the profiles of gene expression by nutrient stress. DEGs were figured out in three datasets, and gene functional analysis was performed. Survival analyses and Cox proportional hazards model were then used to identify nutrient stress sensitive genes in CRC datasets (GSE39582 and TCGA COAD). Then, a 5-gene signature was constructed and the risk scores were also calculated. Survival analyses, cox analyses, and nomogram were applied to predict the prognosis of patients with colorectal cancer. The effectiveness of the risk model was also tested.

Results

A total of 48 genes were found to be dysregulated in serum, glucose, or glutamine-deprived CRC cells, which were mainly enriched in cell cycle and endoplasmic reticulum stress pathways. After further analyses, 5 genes, MCM5, MCM6, CDCA2, GINS2, and SPC25, were identified to be differentially expressed in CRC and be related to prognosis of in CRC datasets. We used the above nutrient stress-sensitive genes to construct a risk scoring model. CRC samples in the datasets were divided into low-risk and high-risk groups. Data showed that higher risk scores were associated with better outcomes and risk scores decreased significantly with tumor procession. Moreover, the risk score could be used to predict the probability of survival based on nomogram.

Conclusions

The 5-nutrient stress-sensitive gene signature could act as an independent biomarker for survival prediction of CRC patients.

Increased CDCA2 Level Was Related to Poor Prognosis in Hepatocellular Carcinoma and Associated With Up-Regulation of Immune Checkpoints

Background

Cell division cycle-associated protein 2 (CDCA2) is a member of cell cycle-related proteins. CDCA2 plays a role in the regulation of protein phosphatase 1(PP1) γ-dependent DNA damage response (DDR) and H3 phosphorylation. CDCA2 promotes the tumorigenesis and development of several types of cancers by promoting the proliferation of tumor cells. However, the relationship between CDCA2 expression and the clinicopathological characteristics of hepatocellular carcinoma (HCC) is unknown.

Methods

Gene expression information and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. The expression of CDCA2 and its correlation to clinical characteristics in HCC were analyzed. The expression level of CDCA2 was validated in HCC cell lines. The relationship between CDCA2 expression and the survival of patients with HCC was analyzed by using Kaplan–Meier method. The prognostic value of CDCA2 in HCC was estimated by Cox regression analysis. The expression difference of CDCA2 between HCC and normal tissues and its correlation to survival were verified in independent datasets. Gene set enrichment analysis (GSEA) was used to screen the CDCA2-related signaling pathways.

Results

Cell division cycle-associated protein 2 expression was upregulated in HCC tissues (p < 0.001) and increased CDCA2 was correlated to increased T stage, pathologic stage, histologic grade, and alpha-fetoprotein (AFP) level (p < 0.001). In addition, CDCA2 was overexpressed in HCC cell lines HepG2 and LM3. High CDCA2 expression level was associated with poor overall survival [hazard ratio (HR) = 1.69; 95% CI, 1.20–1.40, p = 0.003], disease specific survival (HR = 1.73; 95% CI, 1.11–2.71, p = 0.016), and progress free interval (HR = 1.74; 95% CI, 1.30–2.34, p < 0.001). Overexpression of CDCA2 and its correlation to poor survival in HCC were verified in Gene Expression Omnibus (GEO) datasets and Kaplan–Meier plotter database. Increased CDCA2 expression was associated with upregulation of PD-L1 (Spearman's coefficient = 0.207, p < 0.001), PD-L2 (Spearman coefficient's = 0.118, p < 0.05), and CTLA4 (Spearman's coefficient = 0.355, p < 0.001). GSEA showed that homologous recombination pathway, insulin signaling pathway, mitogen-activated protein kinase (MAPK) pathway, mismatch repair pathway, mechanistic target of rapamycin (mTOR) pathway, Notch pathway, T cell receptor pathway, toll like receptor pathway, and WNT pathway were enriched in CDCA2 high expression phenotype.

Conclusion

Cell division cycle-associated protein 2 may serve as an independent biomarker for poor prognosis in HCC and increased CDCA2 expression was associated with upregulation of immune checkpoints.

m6A-mRNA Methylation Regulates Gene Expression and Programmable m6A Modification of Cellular RNAs With CRISPR-Cas13b in Renal Cell Carcinoma

Background: N⁶-methyladenosine (m⁶A) is the most extensive messenger RNA modification. Despite recent advances in the biological roles of m⁶A, its role in the development and progression of renal cell carcinoma (RCC) remains unclear.

Methods: In this study, we gained the transcriptome-wide m⁶A profile and gene expression pattern in RCC and paired adjacent peritumoral tissues by meRIP-seq and RNA-seq. m⁶A modifications of mRNAs were validated by meRIP-qPCR in tissues, and targeted methylation or demethylation was validated by using a CRISPR-Cas13b-based tool in RCC cell lines.

Results: Our findings showed that there were 13,805 m⁶A peaks among 5,568 coding gene transcripts (mRNAs) in adjacent tissues and 24,730 m⁶A peaks among 6,866 mRNAs in tumor tissues. Furthermore, m⁶A modification sites were usually located in the coding sequences (CDS), and some near the start and stop codons. Gene Ontology analysis revealed that coding genes had differential N⁶-methyladenosine sites and were enriched in kidney development and cancer-related signaling pathways. We also found that different levels of m⁶A modifications could regulate gene expression.

Conclusion: In summary, our results provided evidence for studying the potential function of RNA m⁶A modification and m⁶A-mediated gene expression regulation in human RCC.

HMGB3 is Associated With an Unfavorable Prognosis of Neuroblastoma and Promotes Tumor Progression by Mediating TPX2

Neuroblastoma (NB) is the most common solid tumor apart from central nervous system malignancies in children aged 0–14 years, and the outcomes of high-risk patients are dismal. High mobility group box 3 (HMGB3) plays an oncogenic role in many cancers; however, its biological role in NB is still unclear. Using data mining, we found that HMGB3 expression was markedly elevated in NB patients with unfavorable prognoses. When HMGB3 expression in NB cell lines was inhibited, cell proliferation, migration, and invasion were suppressed, and HMGB3 knockdown inhibited NB tumor development in mice. RT−PCR was employed to detect mRNA expression of nine coexpressed genes in response to HMGB3 knockdown, and TPX2 was identified. Furthermore, overexpression of TPX2 reversed the cell proliferation effect of HMGB3 silencing. Multivariate Cox regression analysis indicated that HMGB3 and TPX2 might be independent prognostic factors for overall survival and event-free survival, which showed the highest significance (p < 0.001). According to the nomogram predictor constructed, the integration of gene expression and clinicopathological features exhibited better prognostic prediction power. Furthermore, the random forest algorithm and receiver operating characteristic curves also showed that HMGB3 and TPX2 played important roles in discriminating the vital status (alive/dead) of patients in the NB datasets. Our informatics analysis and biological experiments suggested that HMGB3 is correlated with the unfavorable clinical outcomes of NB, and plays an important role in promoting cell growth, proliferation, and invasion in NB, potentially representing a new therapeutic target for tumor progression.

CDCA2 promotes tumorigenesis and induces radioresistance in oesophageal squamous cell carcinoma cells

Cell division cycle‑associated 2 (CDCA2) overexpression has been demonstrated to serve a significant role in tumorigenesis in certain types of cancer. Nevertheless, its role in tumour proliferation and radioresistance in oesophageal squamous cell carcinoma (ESCC) remains to be elucidated. Thus, the present study aimed to elucidate these roles. Data were downloaded from The Cancer Genome Atlas (TCGA) to compare the gene expression profiles. The expression of CDCA2 was higher in ESCC tissues compared with normal tissues. Gene set enrichment analysis was performed based on the ESCC cohorts in TCGA database. This demonstrated that higher expression of CDCA2 was significantly associated with the expression of related components of the cell cycle phase transition and G2/M phase transition pathways. Collectively, the results revealed that CDCA2 could serve as an underlying target to regulate tumour growth and radioresistance among patients with ESCC.

CDCA1/2/3/5/7/8 as novel prognostic biomarkers and CDCA4/6 as potential targets for gastric cancer

Background

Increasing evidence had suggested that cell division cycle-associated (CDCA) family proteins play prominent roles in multiple types of cancer. However, the expression pattern and prognostic value of CDCAs in gastric cancer were still poorly understood.

Methods

In this study, bioinformatics was used for the first time to comprehensively discuss the expression changes of the CDCA protein family in gastric cancer. We studied the transcription and survival data of CDCAs in patients with gastric cancer in Oncomine, GEPIA, DAVID, cBioportal, and other databases.

Results

We identified that the CDCA 1/2/3/4/5/6/7/8 were overexpressed gastric cancer than in normal tissues. There was no significant difference in CDCAs expression among different gastric cancer stages. High expression of CDCA4/6 in patients with gastric cancer was closely related to low overall survival (OS), first progression survival (FPS), and post-progression survival (PPS). In contrast, high CDCA1/2/3/5/7/8 expression predicted a better prognosis. The genetic mutation rate of CDCA2 and CDCA4 was 4%, ranking first. The main biological process of CDCAs protein family enrichment was cell division, the main cell component involved was centromeres of chromosomes, and the main molecular function involved was protein binding.

Conclusions

The study suggested that CDCA1/2/3/5/7/8 were expected to be new prognostic markers for gastric cancer, and CDCA4/6 might be potential targets for the treatment of gastric cancer.

Trps1 targets Ccnd1 to regulate mouse Leydig cell proliferation

BACKGROUND

The tricho-rhino-phalangeal syndrome-1 gene (Trps1) is an atypical GATA family member. Although current studies of Trps1 mainly focus on tumors, whether Trps1 plays a role in the male reproductive system remains unknown.

OBJECTIVES

The purpose of this study was to elucidate the function of Trps1 in Leydig cells, indicating its regulatory mechanism on the cell cycle.

METHODS

Gene-silencing technology, RNA-seq, RT-qPCR, and western blotting were used to evaluate the function of Trps1 in mouse primary Leydig cells and MLTC-1 cells. In addition, ChIP-base sets and ChIP-qPCR were employed to further assess the regulatory mechanism of Trps1 in MLTC-1 cells.

RESULTS

Knockdown of Trps1 in Leydig cells significantly suppressed phosphorylation of Src and Akt and expression of Ccnd1, which was accompanied by impairment of cell proliferative ability. Trps1 may affect the cell cycle through the Src/Akt/Ccnd1 signaling pathway. In addition, Trps1 may bind to the promoter of Srcin1 to regulate its transcription, thus influencing Src phosphorylation levels and the proliferation of Leydig cells.

DISCUSSION AND CONCLUSION

Src increases in Leydig cells during pubertal development, suggesting its functional involvement in differentiated adult Leydig cells. Inhibition of the Src/Akt pathway would reduce Ccnd1 expression. In the present study, we found that Trps1 may regulate the phosphorylation level of Src and Akt through Srcin1, targeting Ccnd1 to influence mouse Leydig cell proliferation. These findings shed light on the regulation of Trps1 on cell proliferation and differentiation of mouse Leydig cells.

Effects of Rhizopus Nigricans Exopolysaccharide on Proliferation, Apoptosis, and Migration of Breast Cancer MCF-7 Cells and Akt Signaling Pathway

Objective. To study the effect of Rhizopus nigricans exopolysaccharide EPS1-1 on the proliferation, apoptosis, and migration of breast cancer MCF-7 cells. Methods. Human breast cancer MCF-7 cells were cultured in vitro and treated with different concentrations of EPS1-1. The effect of EPS1-1 on cell proliferation was tested by the CCK-8 experiment, and the effect of EPS1-1 on cell apoptosis was determined by flow cytometry. And the scratch test was used to detect the impact of EPS1-1 on cell migration. Western blot then was used to measure the expression changes of related proteins in the Akt signaling pathway. Results. Compared with the control group, treatment with EPS1-1 significantly reduced the proliferation, migration, and invasion ability of MCF-7 cells and promoted the apoptosis of MCF-7 cells in a dose-dependent manner. In terms of the underlying mechanism, EPS1-1 can significantly inhibit the phosphorylation of Akt at threonine 308 and serine 473 and cause the expression changes of downstream proliferation-related genes CCND1 and p21, apoptosis-related genes Bcl-2 and Bax, and migration-related genes Vimentin and E-cadherin in terms of their protein levels. Conclusion. EPS1-1 can inhibit the proliferation, migration, and invasion of breast cancer MCF-7 cells and promote the apoptosis of MCF-7 cells by inhibiting the activation of the Akt signaling pathway. Therefore, EPS1-1 can be used as a potential new drug or adjuvant drug for the treatment of breast cancer.

Silencing of PSMC2 inhibits development and metastasis of prostate cancer through regulating proliferation, apoptosis and migration

Background

Prostate cancer is the most common malignant tumor of male genitourinary system, molecular mechanism of which is still not clear. PSMC2 (proteasome 26S subunit ATPase 2) is a key member of the 19S regulatory subunit of 26S proteasome, whose relationship with prostate cancer is rarely studied.

Methods

Here, expression of PSMC2 in tumor tissues or cells of prostate cancer was detected by qPCR, western blotting and immunohistochemical analysis. The effects of PSMC2 knockdown on cell proliferation, colony formation, cell migration, cell cycle and apoptosis were assessed by Celigo cell counting assay, colony formation assay, wound-healing assay, Transwell assay and flow cytometry, respectively. The influence of PSMC2 knockdown on tumor growth in vivo was evaluated by mice xenograft models.

Results

The results demonstrated that PSMC2 was upregulated in tumor tissues of prostate cancer and its high expression was significantly associated with advanced Gleason grade and higher Gleason score. Knockdown of PSMC2 could inhibited cell proliferation, colony formation and cell migration of prostate cancer cells, while promoting cell apoptosis and cell cycle arrest. The suppression of tumor growth in vivo by PSMC2 knockdown was also showed by using mice xenograft models. Moreover, the regulation of prostate cancer by PSMC2 may be mediated by Akt/Cyclin D1/CDK6 signaling pathway.

Conclusions

Therefore, our studies suggested that PSMC2 may act as a tumor promotor in the development and progression of prostate cancer, and could be considered as a novel therapeutic target for prostate cancer treatment.

The roles of the cell division cycle-associated gene family in hepatocellular carcinoma

Background

The members of the cell division cycle-associated (CDCA) gene family are significant regulators of cell proliferation known to play key roles in various cancers. However, the function of CDCA genes in hepatocellular carcinoma (HCC) is unclear. The aim of this research was to clarify the roles of CDCA family members in HCC using bioinformatics analysis tools.

Methods

We studied data on the mRNA and protein expression of CDCA genes and survival in patients with HCC using the Oncomine, UALCAN, HPA, CCLE, LinkedOmics, cBioPortal, and Metascape databases.

Results

Significant overexpression of all CDCA members was found in HCC tissues. The expression levels of CDCAs were related to the tumor stage, and high expression levels were correlated with a low survival rate in patients with HCC. Also, we observed a high mutation rate (45%) of CDCAs in the HCC samples, which manifested as deep deletion, amplification, or increased mRNA expression. In the correlation analysis, we found that any 2 CDCA members were significantly positively correlated with each other. Cycle-related genes including AHCTF1, AKT1, BIRC5, CENPF, CENPL, and CENPQ were closely associated with CDCA gene alterations.

Conclusions

The findings of this study indicate that CDCAs may be potential therapeutic targets and prognostic indicators for patients with HCC.

Transcriptome Analysis Identifies Novel Mechanisms Associated with the Antitumor Effect of Chitosan-Stabilized Selenium Nanoparticles

Selenium nanoparticles (SeNPs) have been receiving special attention in recent years due to their antioxidant capacity and antitumor properties. However, the mechanisms associated with these properties remain to be elucidated. For this reason, a global transcriptome analysis has been designed in this work and it was carried out using human hepatocarcinoma cells and chitosan-stabilized SeNPs (Ch-SeNPs) to identify new targets and pathways related to the antitumor mechanisms associated with Ch-SeNPs. The results obtained confirm the alteration of the cell cycle and the effect of Ch-SeNPs on different tumor suppressors and other molecules involved in key mechanisms related to cancer progression. Furthermore, we demonstrated the antioxidant properties of these nanoparticles and their capacity to induce senescence, which was further confirmed through the measurement of β-galactosidase activity.

Network Pharmacology Interpretation of Fuzheng-Jiedu Decoction against Colorectal Cancer

Introduction

Traditional Chinese medicine (TCM) believes that the pathogenic factors of colorectal cancer (CRC) are “deficiency, dampness, stasis, and toxin,” and Fuzheng–Jiedu Decoction (FJD) can resist these factors. In this study, we want to find out the potential targets and pathways of FJD in the treatment of CRC and also explain from a scientific point of view that FJD multidrug combination can resist “deficiency, dampness, stasis, and toxin.”

Methods

We get the composition of FJD from the TCMSP database and get its potential target. We also get the potential target of colorectal cancer according to the OMIM Database, TTD Database, GeneCards Database, CTD Database, DrugBank Database, and DisGeNET Database. Subsequently, PPI analysis, KEGG pathways analysis, and GO biological processes analysis were carried out for the target of FJD in the therapy of colorectal cancer. In addition, we have also built a relevant network diagram.

Results

In this study, we identified four core compounds of FJD in the therapy of colorectal cancer, including quercetin, kaempferol, beta-sitosterol, and stigmasterol. At the same time, we also obtained 30 core targets, including STAT3, INS, TP53, VEGFA, AKT1, TNF, IL6, JUN, EGF, CASP3, MAPK3, MAPK1, MAPK8, SRC, IGF1, CCND1, ESR1, EGFR, PTEN, MTOR, FOS, PTGS2, CXCL8, HRAS, CDH1, BCL2L1, FN1, MMP9, ERBB2, and JAK2. FJD treatment of colorectal cancer mainly involves 112 KEGG pathways, including FoxO (hsa04068) signaling pathway, PI3K-Akt (hsa04151) signaling pathway, HIF-1 (hsa04066) signaling pathway, T cell receptor (hsa04660) signaling pathway, and ErbB (hsa04012) signaling pathway. At the same time, 330 GO biological processes were summarized, including cell proliferation, cell apoptosis, angiogenesis, inflammation, and immune.

Conclusions

In this study, we found that FJD can regulate cell proliferation, apoptosis, inflammation and immunity, and angiogenesis through PI3K-Akt signaling pathway to play an anti-CRC effect.

Comprehensive Analysis of CDCAs Methylation and Immune Infiltrates in Hepatocellular Carcinoma

Background

As essential components of cycle growth, the cell division cycle-associated family genes (CDCAs) have crucial roles in tumor development and progression, especially in hepatocellular carcinoma (HCC). However, due to the tumor heterogeneity of HCC, little is known about the methylation variability of CDCAs in mediating phenotypic changes (e.g., immune infiltrates) in HCC. Presently, we aim to comprehensively explore the expression and prognosis of CDCAs methylation with regard to immune infiltrates of HCC.

Methods

We first identified the correlating differentially expressed genes (co-DEGs) among 19 different types of cancer cohorts (a total of 7,783 patients) and then constructed the weighted gene co-expressed and co-methylated networks. Applying the clustering analysis, significant modules of DEGs including CDCAs were selected and their functional bioinformatics analyses were performed. Besides, using DiseaseMeth and TIMER, the correlation between the methylation levels of CDCAs and tumor immune infiltrates was also analyzed. In final, to assess the influence of CDCAs methylation on clinical prognosis, Kaplan-Meier and Cox regression analysis were carried out.

Result

A total of 473 co-DEGs are successfully identified, while seven genes of CDCAs (CDCA1–3 and CDCA5–8) have significant over-expression in HCC. Co-expressed and co-methylated networks reveal the strong positive correlations in mRNA expression and methylation levels of CDCAs. Besides, the biological enrichment analysis of CDCAs demonstrates that they are significantly related to the immune function regulation of infiltrating immune cells in HCC. Also, the methylation analysis of CDCAs depicts the strong association with the tumor immunogenicity, i.e., low-methylation of CDCA1, CDCA2, and CDCA8 dramatically reduced the immune infiltrate levels of T cells and cytotoxic lymphocytes. Additionally, CDCA1–6 and CDCA8 with low-methylation levels significantly deteriorate the overall survival of patients in HCC.

Conclusions

The co-expressed and co-methylated gene networks of CDCAs show a powerful association with immune function regulation. And the methylation levels of CDCAs suggesting the prognostic value and infiltrating immune differences could be a novel and predictive biomarker for the response of immunotherapy.

Expression of cell divisioncycle-associated genes and their prognostic significance in hepatocellular carcinoma

The cell division cycle-associated (CDCA) protein family plays an essential role in tumor progression by cell division. However, the function of each CDCA family member in hepatocellular carcinoma (HCC) is not well known. This study is to find the roles of CDCAs in the prognosis of HCC patients by using ONCOMINE, UALCAN, Human Protein Atlas, Kaplan-Meier Plotter, and cBioPortal databases. Overexpression of CDCA mRNA and protein were found to be significantly associated with individual cancer stages and tumor grades in HCC patients. Higher mRNA expressions of 6 CDCA family members were found to be significantly associated with shorter overall survival (OS) in HCC patients. Multivariate analysis showed that overexpressions of CDCA mRNA were independent prognostic factors for shorter OS in HCC patients. Moreover, a high mutation rate of CDCAs (27%) was also detected in HCC patients, and genetic alteration in CDCAs was associated with shorter overall survival (OS) and disease-free survival (DFS) in HCC patients. Finally, a functional analysis showed that CDCAs were mainly enriched in the cell cycle (hsa04110) and oocyte meiosis. Overall, these results indicated that CDCA2/3/4/5/8 could be prognostic biomarkers of survival in HCC patients.

Identification of CDCA2 as a Diagnostic and Prognostic Marker for Hepatocellular Carcinoma

OBJECTIVE

Hepatocellular carcinoma (HCC) is one of the most common and malignant tumors with an insidious onset, difficult early diagnosis, and limited therapy options, resulting in a poor prognosis. Cell division cycle associated 2 (CDCA2), also known as Repo-Man, plays an important role in regulating mitosis and DNA repair, but the involvement of CDCA2 in HCC remains unclear.

METHODS

The differentially expressed genes that were significantly upregulated in multiple RNA sequencing datasets of HCC were screened. Receiver operating characteristic (ROC) curve analysis was performed to identify diagnostic markers for HCC. Least absolute shrinkage and selection operator Cox regression analysis was performed to screen the prognosis-related genes. The screening and analyses identified CDCA2 as the target gene in this study. The expression of CDCA2 was analyzed in public databases and clinical specimens, and CDCA2 involvement in HCC was explored by both bioinformatic analysis and in vitro experiments.

RESULTS

The level of CDCA2 was enhanced in HCC compared with healthy livers. Overexpression of CDCA2 positively correlated with the pathological grade and TNM stage of the diseases. Furthermore, CDCA2 was found to be an independent prognostic predictor. An excellent prognostic model of HCC was successfully constructed with CDCA2 in combination with TNM stage. Bioinformatic analysis revealed that CDCA2 was closely associated with the cell cycle, apoptosis, and p53 signaling pathway. Silencing CDCA2 in Huh7 cells resulted in significant upregulation of p53 and the downstream PUMA and NOXA and a subsequently increased apoptosis. Inhibition of p53 signaling and apoptosis was found after overexpression of CDCA2 in L02 cells. Strikingly, the proliferation of cells was not affected by CDCA2.

CONCLUSIONS

CDCA2 was a novel diagnostic marker for HCC, and overexpression of this gene reflected poor pathological grade, stage, and clinical prognosis. CDCA2 promoted the pathogenesis of HCC by suppressing the p53-PUMA/NOXA signaling and the subsequent apoptosis.

The m6A methyltransferase METTL14 inhibits the proliferation, migration, and invasion of gastric cancer by regulating the PI3K/AKT/mTOR signaling pathway

Background

N6‐methyladenosine (m6A) modification may participate in the regulation of occurrence and development of tumors. However, the m6A level and the potential regulatory mechanism of m6A in gastric cancer (GC) remain uncertain.

Methods

RNA m6A quantification assay was conducted to detect the m6A level in GC tissues and cell lines. Methyltransferase‐like 14 (METTL14) expression in GC tissues was explored by bioinformatics and immunohistochemistry. Then, the function of METTL14 in GC cells was examined by CCK‐8, colony formation assay, wound healing assay, and Transwell assay. Besides, Western blotting was conducted to probe the PI3K/AKT/mTOR pathway and the epithelial‐mesenchymal transformation (EMT) pathway‐related gene expression.

Results

The m6A modification level was decreased in GC and METTL14 was a key regulator resulting in m6A disorder in GC. METTL14 was downregulated in GC by analyzing both clinical samples and bioinformatics. METTL14 overexpression suppressed GC cell proliferation and aggression by deactivating the PI3K/AKT/mTOR pathway and the EMT pathway, respectively.

Conclusions

Our findings indicate that METTL14 partakes in the biological process of GC as a tumor suppressor and may be an emerging biomarker in GC.

A Nuclear Stress Pathway that Parallels Cytoplasmic Stress Granule Formation

Stress adaptation is exploited by cancer cells to survive and proliferate under adverse conditions. Survival pathways induced by stress are thus highly promising therapeutic targets. One key pathway involves formation of cytoplasmic stress granules, which regulate the location, stability, and translation of specific mRNAs. Here, we describe a transcriptional stress response that is triggered by similar stressors and characterized by accumulation of RepoMan (cell division cycle associated 2) at nuclear stress foci (nucSF). Formation of these structures is reversible, and they are distinct from known nuclear organelles and stress bodies. Immunofluorescence analysis revealed accumulation of heterochromatic markers, and increased association of RepoMan with the adenylate cyclase 2 (ADCY2) gene locus in stressed cells accompanied reduced levels of ADCY2 mRNA and protein. Quantitative comparison of the RepoMan interactome in stressed vs. unstressed cells identified condensin II as a nucSF factor, suggesting their functional association in the establishment and/or maintenance of these facultative heterochromatic domains.

The diagnostic and prognostic value of cell division cycle associated gene family in Hepatocellular Carcinoma

Cell division cycle associated (CDCA) gene family plays an important role in cells. However, some researchers revealed that overexpression of CDCAs might contribute to the tumor progression in several cancers. Here, we analyzed the role of this gene family in hepatocellular carcinoma (HCC). We used several web tools and found that most of CDCAs were highly expressed in tumor tissues compared to the paracancer tissues in HCC. We then used RT-qPCR to confirm our results. The results showed that CDCA2, CDCA3, CDCA5 and CDCA8 were up-regulated in HCC. We also found that these genes were associated with poor overall survival and relapse free survival except CDCA7. The functional analysis showed that this gene family might take part in many processes, including cell division, apoptosis, DNA damage and DNA repair, which might contribute to the tumor progression. The KEGG pathway analysis showed that these genes participated in several important pathways such as PI3K-Akt signaling pathway and hippo signaling pathway. In conclusion, our findings suggested that CDCA2, CDCA3, CDCA4, CDCA5, and CDCA8 might have potential diagnostic and prognostic values for hepatocellular carcinoma.

Comprehensive analysis of the expression and prognosis for CDCAs in head and neck squamous cell carcinoma

Head and neck squamous cell carcinoma (HNSCC), a tumor included oral cavity, lips, larynx, oropharynx, and the nasopharynx et al. The cell division cycle-associated (CDCA) protein family (CDCA1-8) critical for normal cell function and cancer cell proliferation. We explored the mutation signatures and expression levels of various CDCAs in detail in HNSCC. A comprehensive bioinformatics analysis pipeline based on copy number and gene expressions data from patients with HNSCC in order to given new insights into the possible functions and distinct prognostics that underlie CDCAs regulation. We compared the transcriptional expression of CDCAs in HNSCC and found significantly elevated mRNA expression of CDCA1-8 in HNSCC tissues across multiple datasets. We also found CDCA5/6/8 are over-expressed both transcriptionally and translationally in patients with HNSCC. Our results suggested that that mRNA levels of CDCA1/2/4/7 related to the prognosis and can be used as a new useful biomarker for predicting the survival of HNSCC patients. The top 5 CDCAs neighboring gene alterations in HNSCCs were found in MYC, STAG1, RAD21, KLHL9 and NDC80. Multivariable Cox proportional hazard model also showed that CD8+ T cells were higher (P<0.05) in HNSCC-HPV-pos patients and that this was related to CDCA1/2/3/4/5/7. This study utilizes online tools to conduct specific gene analyses from free open databases, but our study requires more large-scale genomics research and basic research.

CDCA2 Inhibits Apoptosis and Promotes Cell Proliferation in Prostate Cancer and Is Directly Regulated by HIF-1α Pathway

Prostate cancer (PCa) is a major serious malignant tumor and is commonly diagnosed in older men. Identification of novel cancer-related genes in PCa is important for understanding its tumorigenesis mechanism and developing new therapies against PCa. Here, we used RNA sequencing to identify the specific genes, which are upregulated in PCa cell lines and tissues. The cell division cycle associated protein (CDCA) family, which plays a critical role in cell division and proliferation, is upregulated in the PCa cell lines of our RNA-Sequencing data. Moreover, we found that CDCA2 is overexpressed, and its protein level positively correlates with its histological grade, clinical stage, and Gleason Score. CDCA2 was further found to be upregulated and correlated with poor prognosis and patient survival in multiple cancer types in The Cancer Genome Atlas (TCGA) dataset. The functional study suggests that inhibition of CDCA2 will lead to apoptosis and lower proliferation in vitro. Silencing of CDCA2 also repressed tumor growth in vivo. Loss of CDCA2 affects several oncogenic pathways, including MAPK signaling. In addition, we further demonstrated that CDCA2 was induced in hypoxia and directly regulated by the HIF-1α/Smad3 complex. Thus, our data indicate that CDCA2 could act as an oncogene and is regulated by hypoxia and the HIF-1αpathway. CDCA2 may be a useful prognostic biomarker and potential therapeutic target for PCa.

Analysis of the Expression of Cell Division Cycle-Associated Genes and Its Prognostic Significance in Human Lung Carcinoma: A Review of the Literature Databases

Background

Lung cancer (LC) has become the top cause responsible for cancer-related deaths. Cell division cycle-associated (CDCA) genes exert an important role in the life process. Dysregulation in the process of cell division may lead to malignancy.

Methods

Transcriptional data on CDCA gene family and patient survival data were examined for lung cancer (LC) patients from the GEPIA, Oncomine, cBioPortal, and Kaplan-Meier Plotter databases.

Results

CDCA1/2/3/4/5/7/8 expression levels were higher in lung adenocarcinoma tissues, and the CDCA1/2/3/4/5/6/7/8 expression levels were increased in squamous cell LC tissues compared with those in noncarcinoma lung tissues. The expression levels of CDCA1/2/3/4/5/8 showed correlation with tumor classification. The Kaplan-Meier Plotter database was employed to carry out survival analysis, indicating that increased CDCA1/2/3/4/5/6/7/8 expression levels were increased in squamous cell LC tissues compared with those in noncarcinoma lung tissues. The expression levels of P < 0.05). Only LC patients with increased CDCA3/4/5/8 expression were significantly related to lower post-progression survival (PPS) (P < 0.05). Only LC patients with increased CDCA gene family and patient survival data were examined for lung cancer (LC) patients from the GEPIA, Oncomine, cBioPortal, and Kaplan-Meier Plotter databases. CDCA8, INCENP, AURKB, and BIRC5); CORUM: 127: NDC80 kinetochore complex; M129: the PID PLK1 pathway; and GO: 0007080: mitotic metaphase plate congression, all of which were remarkably modulated since the alterations affected CDCA gene family and patient survival data were examined for lung cancer (LC) patients from the GEPIA, Oncomine, cBioPortal, and Kaplan-Meier Plotter databases.

Conclusions

Upregulated CDCA genes' expression levels in LC tissues probably play a crucial part in LC oncogenesis. The upregulated CDCA genes' expression levels are used as the potential prognostic markers to improve patient survival and the LC prognostic accuracy. CDCA genes probably exert their functions in tumorigenesis through the PLK1 pathway.CDCA gene family and patient survival data were examined for lung cancer (LC) patients from the GEPIA, Oncomine, cBioPortal, and Kaplan-Meier Plotter databases. CDCA gene family and patient survival data were examined for lung cancer (LC) patients from the GEPIA, Oncomine, cBioPortal, and Kaplan-Meier Plotter databases. CDCA gene family and patient survival data were examined for lung cancer (LC) patients from the GEPIA, Oncomine, cBioPortal, and Kaplan-Meier Plotter databases.

CLEC5A promotes the proliferation of gastric cancer cells by activating the PI3K/AKT/mTOR pathway

Gastric cancer (GC), as one of the most prevalent malignancies, contributes to the high morbidity and mortality worldwide. By analyzing the bioinformatics, qRT-PCR and IHC assays, we found that CLEC5A is overexpressed in GC and associated with poorer prognosis. CLEC5A silencing inhibits cell growth and DNA replication and induces cell cycle arrest and cell apoptosis. Bioinformatics analyses and Western blotting revealed that CLEC5A depletion led to the dysregulation of the PI3K/AKT/mTOR pathway. CLEC5A-mediated GC proliferation and anti-apoptosis were impaired by blocking the PI3K/AKT/mTOR pathway with LY294002. We hypothesize that CLEC5A is of vital importance to GC initiation and progression via the PI3K/AKT/mTOR pathway, and that our results might represent promising therapeutic strategies for GC patients.

Systematic investigation of the prognostic value of cell division cycle-associated proteins for clear cell renal cell carcinoma patients

Aim: To explore the prognostic value of the cell division cycle-associated proteins (CDCA) family in clear cell renal cell carcinoma. Methods: Gene profiles were collected from the The Cancer Genome Atlas-Kidney Renal Clear Cell Carcinoma (TCGA-KIRC), the GSE29609 and GSE22541 datasets. Genetic alteration and DNA methylation data were downloaded from the cBioPortal and MethSurv. The functional enrichment data were analyzed by Metascape. Results: The mRNA expression of the CDCAs, except CBX2, was significantly increased in clear cell renal cell carcinoma patients. Genetic alterations might affect the expression of CDCAs, but promotor methylation does not affect CDCA gene expression. The overall expression of the CDCAs, according to the The Cancer Genome Atlas-KIRC database (hazard ratio [HR]: 2.18), the GSE29609 (HR: 6.08) and GSE22541 (HR: 6.73), was significantly associated with unfavorable overall survival. In addition, genes co-expressed with CDCAs (R² ≥0.3) were highly associated with cell division and the FOXM1 pathway. Conclusion: Our study demonstrated that the aberrant expression of CDCA gene family members plays an indispensable role in tumorigenesis.

microRNA-mediated GAS1 downregulation promotes the proliferation of synovial fibroblasts by PI3K-Akt signaling in osteoarthritis

Hyperplastic synovial fibroblasts (SFs) serve a critical role in the pathogenesis of knee osteoarthritis (OA); however, the molecular mechanism involved in OA during synovial tissue hyperproliferation remains unclear. Growth arrest-specific gene 1 (GAS1), a cell growth repressor gene, was found to be downregulated in OASFs according to previous preliminary experiments. It was therefore hypothesized that reduced GAS1 expression may participate in the hyperproliferation of SFs in OA development, downstream of possible microRNA (miR) regulation, in hyperplastic OASFs. In the present study, GAS1 expression was indeed decreased in OASFs and interleukin-1β-induced SFs by reverse transcription-quantitative PCR and western blot analysis. Further cell viability assays, cell cycle and apoptosis analyses revealed that the overexpression of GAS1 can inhibited proliferation, induced cell cycle arrest and promoted apoptosis in SFs. In contrast, GAS1 knockdown in SFs accelerated cell proliferation, enhanced cell cycle progression and suppressed apoptosis. Notably, the suppressive effects of GAS1 were mediated through the inactivation of the PI3K-Akt pathway. Finally, miR-34a-5p and miR-181a-5p were predicted and subsequently verified to directly target the 3′-untranslated region of the GAS1 gene, downregulating GAS1 levels in OASFs and IL-1β-induced SFs. In conclusion, the present study demonstrated that downregulation of GAS1 can lead to the hyperproliferation of SFs in OA pathogenesis through the PI3K-Akt pathway, and miR-34a-5p and miR-181a-5p are potential regulators of GAS1 expression in OA. Therefore, it may be promising to investigate the potential of GAS1 as a novel therapeutic target for preventing SF hyperplasia in OA.