ANLN promotes carcinogenesis in oral cancer by regulating the PI3K/mTOR signaling pathway

Anillin interacts with RhoA to promote tumor progression in anaplastic thyroid cancer by activating the PI3K/AKT pathway

BACKGROUND

Anaplastic thyroid cancer (ATC) is the most aggressive thyroid malignancy and has an extremely poor prognosis, necessitating novel therapeutic strategies. This study investigated the role of anillin (ANLN) in ATC, focusing on its impact on tumor growth and metastasis through the RhoA/PI3K/AKT signaling pathway.

METHODS

TCGA and GEO datasets were analyzed to identify key molecular alterations in thyroid cancer. ANLN expression was assessed in clinical samples. Functional assays, including CCK-8, colony formation, scratch, and Transwell invasion assays, and mouse xenograft models, were conducted to evaluate the biological role of ANLN. Coimmunoprecipitation, immunofluorescence, and active Rho GTPase pull-down assays, as well as phosphorylation antibody arrays, were used to explore the underlying mechanisms.

RESULTS

Analysis of TCGA and GEO datasets revealed that ANLN is upregulated in thyroid cancers, including ATC and PTC, with higher ANLN expression correlating with worse survival outcomes. Functional studies demonstrated that ANLN promoted ATC cell proliferation, migration, and invasion. In vivo, ANLN knockdown inhibited tumor growth in xenograft models. Mechanistically, ANLN directly interacted with RhoA, facilitating its activation and subsequent stimulation of the PI3K/AKT signaling pathway. The tumorigenic effects of ANLN were suppressed by AKT inhibition with afuresertib or RhoA silencing.

CONCLUSION

ANLN plays a crucial role in ATC progression by activating the RhoA/PI3K/AKT pathway, suggesting its potential as a therapeutic target in ATC.

Non-coding RNAs in oral cancer: Emerging biomarkers and therapeutic frontier

Around the world, oral cancer (OC) is a major public health problem, resulting in a significant number of deaths each year. Early detection and treatment are crucial for improving patient outcomes. Recent progress in DNA sequencing and transcriptome profiling has revealed extensive non-coding RNAs (ncRNAs) transcription, underscoring their regulatory importance. NcRNAs influence genomic transcription and translation and molecular signaling pathways, making them valuable for various clinical applications. Combining spatial transcriptomics (ST) and spatial metabolomics (SM) with single-cell RNA sequencing provides deeper insights into tumor microenvironments, enhancing diagnostic and therapeutic precision for OC. Additionally, the exploration of salivary biomarkers offers a non-invasive diagnostic avenue. This article explores the potential of ncRNAs as diagnostic and therapeutic tools for OC.

MicroRNA‑374a‑5p/ANLN axis promotes malignant progression of Oral squamous cell carcinoma

BACKGROUND

Recent research has revealed a significant association between Anillin (ANLN) and miR-374a‑5p with the progression of tumors. Additionally, bioinformatics analysis indicated an inverse relationship in transcript expression levels between ANLN and miR-374a-5p. However, the specific mechanisms driving the miR-374a-5p/ANLN signaling axis in oral squamous cell carcinoma (OSCC) have not been thoroughly explored.

METHODS

ANLN and miR-374a‑5p expression were evaluated within OSCC cell lines and tissues by RT-qPCR. Using bioinformatics databases, it has been demonstrated that the ANLN gene could be a target of miR-374a-5p. MiR-374a‑5p and ANLN correlation could be assessed via the dual-luciferase reporter assay and western blotting techniques. Functional studies were employed to investigate the behavioral patterns of miR-374a‑5p within OSCC cells.

RESULTS

miR-374a‑5p expression could be remarkably downregulated within both OSCC tissues and cells, coinciding with high ANLN expression. ANLN was a specific target gene for miR-374a‑5p by luciferase function assay. The expression of miR-374a‑5p could serve as a diagnostic biomarker and independently predict a poor prognosis in patients with OSCC, and the counteractive effect of upregulating miR-374a‑5p was observed on the proliferative, migratory, and invasive capabilities of OSCC cells.

CONCLUSIONS

The findings suggest that the miR-374a‑5p/ANLN signaling axis potentially modulates the advancement of OSCC, and miR-374a‑5p may serve as potential therapeutic targets of oral cancer.

Biomechanism of abnormal stress on promoting osteoarthritis of temporomandibular joint through Piezo1 ion channel

OBJECTIVE

This study aimed to investigate whether flow fluid shear stress (FFSS)-mediated signal transduction affects the function of Piezo1 ion channel in chondrocyte and to further explore the role of mechanical overloading in development of temporomandibular joint osteoarthritis (TMJ OA).

METHODS

Immunohistochemical staining was used to determine the expression of Piezo1 in TMJ OA tissue collected from rat unilateral anterior crossbite (UAC) models. Chondrocytes harvested from normal adult SD rats were treated with FFSS (0, 4, 8, 12 dyn/cm2) in vitro. Immunofluorescent staining, real-time polymerase chain reaction, western blotting, flow cytometry and phalloidin assay were performed to detect the changes of cellular morphology as well as the expression of Piezo1 and certain pro-inflammatory and degradative factors in chondrocyte.

RESULTS

Immunohistochemical analysis revealed that significantly increased Piezo1 expression was associated with UAC stimulation (p < .05). As applied FFSS escalated (4, 8 and 12 dyn/cm2), the expression levels of Piezo1, ADAMTS-5, MMP-13 and Col-X gradually increased, compared with the non-FFSS group (p < .05). Administering Piezo1 ion channel inhibitor to chondrocytes beforehand, it was observed that expression of ADAMTS-5, MMP-13 and Col-X was substantially decreased following FFSS treatment (p < .05) and the effect of cytoskeletal thinning was counteracted. The activated Piezo1 ion channel enhanced intracellular Ca2+ excess in chondrocytes during abnormal mechanical stimulation and the increased intracellular Ca2+ thinned the cytoskeleton of F-actin.

CONCLUSIONS

Mechanical overloading activates Piezo1 ion channel to promote pro-inflammation and degradation and to increase Ca2+ concentration in chondrocyte, which may eventually result in TMJ OA.

Silencing ANLN hinders the proliferation, migration, invasion, and angiogenesis of oral squamous cell carcinoma

BACKGROUND

The actin-binding protein anillin (ANLN) functions as an oncogene in various cancers but has not been fully studied in oral squamous cell carcinoma (OSCC). This study aimed to investigate the expression of ANLN in OSCC tissues and cell lines, to better understand its role in mediating proliferative, angiogenic, invasive, and metastatic capabilities in this type of cancer.

METHODS

ANLN mRNA and protein levels were assessed using qPCR and western immunoblotting. The expression intensity of ANLN was evaluated using immunohistochemical (IHC) staining. Biological functional assays were employed to characterize the behavior of OSCC cells influenced by ANLN. Additionally, comprehensive bioinformatics analysis, including GO analysis and KEGG enrichment analysis, was performed on differentially expressed genes in ANLN-mediated pathways.

RESULTS

OSCC tumors and cell lines exhibited higher ANLN expression. Silencing of ANLN significantly suppressed OSCC cell proliferation, as evidenced by a significant reduction in the Ki-67 index both in vitro and in vivo. The migration and invasive ability of OSCC cells were markedly diminished, coinciding with a decrease in epithelial-mesenchymal transition activity. ANLN was also found to promote angiogenic activity in OSCC cells, partly through synergistic effects mediated by vascular endothelial growth factor A (VEGFA). Downregulation of ANLN expression led to decreased VEGFA levels, resulting in reduced angiogenesis characterized by fewer vascular branches.

CONCLUSIONS

Our findings highlight the promising role of ANLN as a biomarker for both diagnostic and prognostic in OSCC. Targeting ANLN with inhibitory strategies could impede the oncogenesis processes at the core of OSCC development, presenting significant opportunities for advancing therapeutic interventions.

A five-gene prognosis model based on lysine β-hydroxybutyrylation site genes to predict the survival and therapy response in pancreatic adenocarcinoma

Background

Pancreatic adenocarcinoma (PAAD) is one of the most malignancy diseases. Lysine β-hydroxybutyrylation (Kbhb) has been reported to involve various metabolism and cancer progression.

Methods

Data from online databases (TCGA and GEO) were retrieved for the selection of differential expressed Kbhb site genes (DTRGs). Univariate cox and LASSO analysis were performed to identify the prognostic DTRGs. Based on the optimal DTRGs, a prognostic risk score model was established. Kaplan-Meier and Receiver operator characteristic analysis were conducted to evaluate the predicting ability of the prognosis model. Generated with clinical data, independent analysis and nomogram model were performed. Finally, the differences of survival, immune cell levels, immunotherapy response, drug sensitivity between high- and low-risk groups were explored.

Results

A total of 63 DTRGs were identified in PAAD, and these genes were related to cell division and apoptosis biological functions. Through univariate cox regression and LASSO analysis, 30 DTRGs were selected to be related to prognosis and five (KRT18, ANLN, ECT2, RBM5, and RBM6) were identified as the optimal DTRGs in PAAD. Based on the five optimal DTRGs, a prognostic risk score model was constructed, with promising predictive ability in PAAD survival (AUC >0.70). High-risk group showed lower survival rate (P < 0.05). Moreover, based on the risk score, a nomogram model was also established, which possessed perfect stability. Finally, lower risk score was related to higher immune cell levels, indicating an immune activation in low-risk status, which maybe the reason for the better survival in low-risk group. Furthermore, the immunotherapy response and drug sensitivity were all higher than that in low-risk groups (P < 0.05).

Conclusion

A five-gene prognosis risk model which exhibit promising predictive ability in survival is constructed for patients with PAAD.

Hsa_circ_0079875 functions as a competitive endogenous RNA to promote hepatocellular carcinoma progression

Circular RNA (circRNA) can influence the development of hepatocellular carcinoma (HCC) as a competitive endogenous RNA (ceRNA). However, there are still many circRNAs whose functions are unknown. Our research explores the role of a novel circRNA, hsa_circ_0079875, in HCC. The expression of hsa_circ_0079875 in HCC was verified by next-generation sequencing, quantitative reverse transcription-polymerase chain reaction (qRT-PCR), and fluorescence in situ hybridization (FISH). The distribution of hsa_circ_0079875 in HCC cells was investigated by RNA subcellular isolation and FISH assays. The functional effects on HCC proliferation, invasion, migration, cell cycle, and apoptosis were verified by overexpression and knockdown of hsa_circ_0079875. Moreover, xenograft mouse models and immunohistochemistry experiments were used to assess the function of hsa_circ_0079875 in vivo. Hsa_circ_0079875 was up-regulated in HCC tissues and mainly distributed in the cytoplasm. Higher hsa_circ_0079875 leads to larger tumor tissue, more microvascular invasion(MVI) and higher AFP levels, which in turn leads to a poor prognosis. Overexpression of hsa_circ_0079875 can promote the proliferation, migration, and invasion of HCC cells and inhibit apoptosis in vitro and in vivo. Knocking down hsa_circ_0079875 has the opposite effect. Sequencing and biological information predicted the target miRNA and mRNA of hsa_circ_0079875. Further bioinformatics and clinical correlation analysis revealed that hsa_circ_0079875 promote the malignant biological behaviors of HCC through hsa_circ_0079875/miR-519d-59/NRAS ceRNA net. Therefore, hsa_circ_0079875 can be a potential prognostic marker and therapeutic target for HCC.

Dysregulated ANLN reveals immune cell landscape and promotes carcinogenesis by regulating the PI3K/Akt/mTOR pathway in clear cell renal cell carcinoma

Background

Abnormal anillin (ANLN) expression has been observed in multiple tumours and is closely associated with patient prognosis and clinical features. In this study, we systematically elucidated the clinical significance and biological roles of ANLN in patients with clear cell renal cell carcinoma (ccRCC).

Methods

We obtained transcriptome and clinical data of patients with ccRCC from public databases. Multi-omics data and clinical samples were combined to analyse the correlation between ANLN expression and the clinical characteristics of patients with renal cancer. Additionally, the immune cell landscape of ANLN expression was evaluated using different immune algorithms in the tumour microenvironment. The tumour-promoting potential of ANLN was confirmed using in vitro assays, including CCK8 and Transwell assays.

Results

Bioinformatics analysis showed that ANLN is over-expressed in patients with ccRCC, as validated by clinical samples. Publicly available clinical data suggest that high ANLN expression may indicate poor outcomes in patients with ccRCC. Moreover, biological function analysis revealed a marked enrichment of the cell cycle and PI3K-Akt pathways. The distribution of immune cells, particularly M2 macrophages, differed in patients with ccRCC. Furthermore, ANLN silencing inhibited the proliferation, migration, and invasion of renal cancer cells in vitro. After ANLN expression was knocked down in 786-O cells, the protein levels of important PI3K signalling pathway components, including PI3K, Akt, and mTOR, drastically decreased.

Conclusions

These findings suggest that ANLN is dysregulated in renal cancer tissues and promotes tumour progression by activating the PI3K/Akt/mTOR signalling pathway.

Alternative Splicing Landscape of Head and Neck Squamous Cell Carcinoma

Head and neck malignancies are a significant global health concern, with head and neck squamous cell carcinoma (HNSCC) being the sixth most common cancer worldwide accounting for > 90% of cases. In recent years, there has been growing recognition of the potential role of alternative splicing (AS) in the etiology of cancer. Increasing evidence suggests that AS is associated with various aspects of cancer progression, including tumor occurrence, invasion, metastasis, and drug resistance. Additionally, AS is involved in shaping the tumor microenvironment, which plays a crucial role in tumor development and response to therapy. AS can influence the expression of factors involved in angiogenesis, immune response, and extracellular matrix remodeling, all of which contribute to the formation of a supportive microenvironment for tumor growth. Exploring the mechanism of AS events in HNSCC could provide insights into the development and progression of this cancer, as well as its interaction with the tumor microenvironment. Understanding how AS contributes to the molecular changes in HNSCC cells and influences the tumor microenvironment could lead to the identification of new therapeutic targets. Targeted chemotherapy and immunotherapy strategies tailored to the specific AS patterns in HNSCC could potentially improve treatment outcomes and reduce side effects. This review explores the concept, types, processes, and technological advancements of AS, focusing on its role in the initiation, progression, treatment, and prognosis of HNSCC.

ANLN Serves as an Oncogene in Bladder Urothelial Carcinoma via Activating JNK Signaling Pathway

INTRODUCTION

To understand the significance of ANLN (anillin, actin-binding protein)-mediated c-Jun N-terminal kinase (JNK) signal pathway on the progression of bladder urothelial carcinoma (BLCA).

METHODS

The Cancer Genome Atlas (TCGA) database was utilized to perform the clinical significance of ANLN in BLCA. Then, ANLN expression was determined in human normal primary bladder epithelial cells (BdEC) and BLCA cells. Later, ANLN knockdown was performed in BLCA cells, where the expression of MAPK8, MAPK9, and p-JNK/JNK was detected. BLCA cells were divided into the Mock, siNC, siANLN, SP600125 (a selective JNK inhibitor), and ANLN + SP600125 group, followed by measurements of real-time quantitative polymerase chain reaction, 3-4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide, Annexin V-FITC/PI, Wound-healing, Transwell, and immunofluorescence assays.

RESULTS

ANLN was upregulated in the BLCA tissues, which showed a relation with the stage of patients. Besides, BLCA patients with high expression of ANLN had a worse prognosis than those with low expression of ANLN. Besides, the expression of ANLN in the BLCA tissues was positively correlated with MAPK8 and MAPK9. SP600125 suppressed the JNK signal pathway, reduced the proliferation, and increased BLCA cell apoptosis, with the reductions in the invasion and migration and the upregulation of phospho-histone H3 Ser-10 (pHH3), which was abolished by the overexpression of ANLN.

CONCLUSION

ANLN, as an oncogene of BLCA, may associate with the activation of JNK signal pathway. Inhibiting ANLN could deactivate the JNK signal pathway, thereby suppressing the proliferation, invasion, and migration while promoting the apoptosis of BLCA cells.

A network-based dynamic criterion for identifying prediction and early diagnosis biomarkers of complex diseases

Lung adenocarcinoma (LUAD) seriously threatens human health and generally results from dysfunction of relevant module molecules, which dynamically change with time and conditions, rather than that of an individual molecule. In this study, a novel network construction algorithm for identifying early warning network signals (IEWNS) is proposed for improving the performance of LUAD early diagnosis. To this end, we theoretically derived a dynamic criterion, namely, the relationship of variation (RV), to construct dynamic networks. RV infers correlation [Formula: see text] statistics to measure dynamic changes in molecular relationships during the process of disease development. Based on the dynamic networks constructed by IEWNS, network warning signals used to represent the occurrence of LUAD deterioration can be defined without human intervention. IEWNS was employed to perform a comprehensive analysis of gene expression profiles of LUAD from The Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) database. The experimental results suggest that the potential biomarkers selected by IEWNS can facilitate a better understanding of pathogenetic mechanisms and help to achieve effective early diagnosis of LUAD. In conclusion, IEWNS provides novel insight into the initiation and progression of LUAD and helps to define prospective biomarkers for assessing disease deterioration.

Comprehensive bioinformatics analysis reveals the prognostic value, predictive value, and immunological roles of ANLN in human cancers

Anillin (ANLN) is a unique scaffolding, actin-binding protein, which is essential for the integrity and ingression of the cleavage furrow. It is mainly involved in the cytokinesis process, while its role in various tumors has not been fully addressed and remains largely elusive. To provide a thorough perspective of ANLN’s roles among diverse malignancies, we conducted a comprehensive, pan-cancer analysis about ANLN, including but not limited to gene expression levels, prognostic value, biological functions, interacting proteins, immune-related analysis, and predictive value. As a result, when compared to normal tissues, ANLN expression is elevated in most cancers, and its expression also differs in different immune subtypes and molecular subtypes in diverse cancers. In addition, in 17 types of cancer, ANLN expression is increased in early tumor stages, and higher ANLN expression predicts worse survival outcomes in more than ten cancers. Furthermore, ANLN shows close correlations with the infiltration levels of most immune cells, and enrichment analysis using ANLN co-expressed genes reveals that ANLN plays essential roles in cell cycle, mitosis, cellular senescence, and p53 signaling pathways. In the final, ANLN exhibits high accuracy in predicting many cancers, and subsequent multivariate analysis suggests ANLN could be an independent prognostic factor in specific cancer types. Taken together, ANLN is proved to be a novel and promising biomarker for its excellent predictive utility, promising prognostic value, and potential immunological roles in pan-cancer. Targeting ANLN might be an attractive approach to tumor treatment.

IQGAP1 and RNA Splicing in the Context of Head and Neck via Phosphoproteomics

IQGAP1 (IQ motif-containing GTPase-activating protein 1) scaffolds several signaling pathways in mammalian cells that are implicated in carcinogenesis, including the RAS and PI3K pathways that involve multiple protein kinases. IQGAP1 has been shown to promote head and neck squamous cell carcinoma (HNSCC); however, the underlying mechanism(s) remains unclear. Here, we report a mass spectrometry-based analysis identifying differences in phosphorylation of cellular proteins in vivo and in vitro in the presence or absence of IQGAP1. By comparing the esophageal phosphoproteome profiles between Iqgap1+/+ and Iqgap1-/- mice, we identified RNA splicing as one of the most altered cellular processes. Serine/arginine-rich splicing factor 6 (SRSF6) was the protein with the most downregulated levels of phosphorylation in Iqgap1-/- tissue. We confirmed that the absence of IQGAP1 reduced SRSF6 phosphorylation both in vivo and in vitro. We then expanded our analysis to human normal oral keratinocytes. Again, we found factors involved in RNA splicing to be highly altered in the phosphoproteome profile upon genetic disruption of IQGAP1. Both the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and the Cancer Genome Atlas (TCGA) data sets indicate that phosphorylation of splicing-related proteins is important in HNSCC prognosis. The Biological General Repository for Interaction Datasets (BioGRID) repository also suggested multiple interactions between IQGAP1 and splicing-related proteins. Based on these collective observations, we propose that IQGAP1 regulates the phosphorylation of splicing proteins, which potentially affects their splicing activities and, therefore, contributes to HNSCC. Raw data are available from the MassIVE database with identifier MSV000087770.

A Four-Gene Prognostic Signature Based on the TEAD4 Differential Expression Predicts Overall Survival and Immune Microenvironment Estimation in Lung Adenocarcinoma

Background: TEA domain transcription factor 4 (TEAD4) is a member of the transcriptional enhancer factor (TEF) family of transcription factors, which is studied to be linked to the tumorigenesis and progression of various forms of cancers, including lung adenocarcinoma (LUAD). However, the specific function of this gene in the progression of LUAD remains to be explored.

Method: A total of 19 genes related to the Hippo pathway were analyzed to identify the significant genes involved in LUAD progression. The TCGA-LUAD data (n = 585) from public databases were mined, and the differentially expressed genes (DEGs) in patients with the differential level of TEAD4 were identified. The univariate Cox regression, zero LASSO regression coefficients, and multivariate Cox regression were performed to identify the independent prognostic signatures. The immune microenvironment estimation in the two subgroups, including immune cell infiltration, HLA family genes, and immune checkpoint genes, was assessed. The Gene Set Enrichment Analysis (GSEA) and GO were conducted to analyze the functional enrichment of DEGs between the two risk groups. The potential drugs for the high-risk subtypes were forecasted via the mode of action (moa) module of the connectivity map (CMap) database.

Results:TEAD4 was found to be significantly correlated with poor prognosis in LUAD-patients. A total of 102 DEGs in TEAD4-high vs. TEAD4-low groups were identified. Among these DEGs, four genes (CPS1, ANLN, RHOV, and KRT6A) were identified as the independent prognostic signature to conduct the Cox risk model. The immune microenvironment estimation indicated a strong relationship between the high TEAD4 expression and immunotherapeutic resistance. The GSEA and GO showed that pathways, including cell cycle regulation, were enriched in the high-risk group, while immune response-related and metabolism biological processes were enriched in the low-risk group. Several small molecular perturbagens targeting CFTR or PLA2G1B, by the mode of action (moa) modules of the glucocorticoid receptor agonist, cyclooxygenase inhibitor, and NFkB pathway inhibitor, were predicted to be suited for the high-risk subtypes based on the high TEAD4 expression.

Conclusion: The current study revealed TEAD4 is an immune regulation–related predictor of prognosis and a novel therapeutic target for LUAD.