KIFC1 regulates ZWINT to promote tumor progression and spheroid formation in colorectal cancer

The DDX6/KIFC1 signaling axis, as regulated by YY1, contributes to the malignant behavior of pancreatic cancer

Human DEAD/H box RNA helicase DDX6 acts as an oncogene in several different types of cancer, where it participates in RNA processing. Nevertheless, the role of DDX6 in pancreatic cancer (PC), together with the underlying mechanism, has yet to be fully elucidated. In the present study, compared with adjacent tissues, the level of DDX6 was abnormally increased in human PC tissues, and this increased level of expression was associated with poor prognosis. Furthermore, the role of DDX6 in PC was investigated by overexpressing or silencing the DDX6 in the PC cell lines, SW1990 and PaTu-8988t. A xenograft model was established by injecting nude mice with either DDX6-overexpressing or DDX6-silenced SW1990 cells. DDX6 overexpression promoted the proliferation and cell cycle transition, inhibited the cell apoptosis of PC cells, and accelerated tumor formation, whereas DDX6 knockdown elicited the opposite effects. DDX6 exerted positive effects on PC. RNA immunoprecipitation assay showed that DDX6 bound to kinesin family member C1 (KIFC1) mRNA, which was further confirmed by RNA pull-down assay. These results suggested that DDX6 positively regulated the expression of KIFC1. KIFC1 overexpression enhanced the proliferative capability of PC cells with DDX6 knockdown and inhibited their apoptosis. By contrast, DDX6 overexpression reversed the inhibitory effect of KIFC1 silencing on tumor proliferation. Subsequently, the transcription factor Yin Yang 1 (YY1) was shown to negatively regulate DDX6 at both the mRNA and protein levels. Dual-luciferase reporter assay verified that YY1 targeted the promoter of DDX6 and inhibited its transcription. High expression levels of YY1 decreased the proliferation of PC cells and promoted cell apoptosis, although these effects were reversed by DDX6 overexpression. Taken together, YY1 may target the DDX6/KIFC1 axis, thereby negatively regulating its expression, leading to an inhibitory effect on pancreatic tumor.

Whole transcriptome scanning and validation of negatively related genes in UC-MSCs

Background

Human umbilical cord mesenchymal stem cells (UC-MSCs) are one of the most extensively researched stem cell types due to their potential for multi-lineage differentiation, secretion of regenerative factors, modulations of immunological activities, and the release of regenerative substances and influence immunological processes. Since UC-MSCs must be cultivated on a large scale for clinical use, selecting the appropriate storing passage, such as the usage-based passage of UC-MSCs, is critical for long-term autologous or allogeneic usage. Long-term cultivation of stem cells, on the other hand, causes them to lose their pluripotent differentiation capacity. As a result, distinguishing between high and low passages of UC-MSCs and identifying the particular variations associated with stem cells and their modes of action is essential for regenerative medicine. Therefore, we investigated the biological features and transcriptional changes of UC-MSCs over passages.

Methods

UC-MSCs were isolated from the tissues of the human umbilical cord, and UC-MSCs from five passages (P1, P3, P5, P10 and P15) with three repetitions were compared and identified based on morphology, cell markers, differentiation capacity, and aging-related characteristics. It was previously assumed that the phenotype of cells before the P10 passage was stable, defined as early passage, and that culture could be continued until the 15th passage, defined as late passage. Next, the five passages of UC-MSCs were sequenced using high-throughput complete transcriptome sequencing. Fuzzy C-Means Clustering (FCM) and Weighted Gene Co-expression Network Analysis (WGCNA) were used to find hub genes, and gene silencing was performed to investigate the impact of missing genes on the stemness of UC-MSC cells.

Results

UC-MSCs of different passages displayed similar surface markers, including CD73, CD105, CD90, CD34, CD45 and HLA-DR. However, the proliferation time of late-phase UC-MSCs was longer than that of early-phase UC-MSCs, and the expression of the senescence-associated (SA)-β-gal staining marker was higher. At the same time, pluripotency markers (NANOG, OCT4, SOX2 and KIF4A) were down-regulated, and the multi-differentiation potential was reduced. Meanwhile, KIFC1 and UBE2C were down-regulated in late-phase UC-MSCs, which were involved in the maintenance of stemness.

Conclusions

KIFC1 and UBE2C were highly expressed in early-UC-MSCs and showed a downward gradient trend with cell expansion in vitro. They regulated UC-MSC proliferation, colony sphere formation, multiple differentiation, stemness maintenance, and other biological manifestations. Therefore, they are anticipated to be new biomarkers for UC-MSCs quality identification in regenerative medicine applications.

KIFC1 promotes proliferation and pseudo-bipolar division of ESCC through the transportation of Aurora B kinase

Esophageal squamous cell carcinoma (ESCC) accounts for over 90% of total in China, and the five-year survival rate for patients is less than 30%. Accordingly, the identification of novel, effective early diagnosis markers and therapeutic targets for ESCC is of paramount importance. KIFC1 has been identified as highly expressed in several types of cancer, although its prognostic value is inconsistent, and no research has been conducted specifically on its effect on ESCC. To investigate the expression and function of KIFC1 in ESCC, we conducted immunohistochemical staining on 30 pairs of para-carcinoma tissue and cancerous tissues, revealing a significant increase in KIFC1 expression in ESCC tissues. Using siRNA to knock down KIFC1 significantly reduced the proliferation of EC109 ESCC cells both in vitro and in vivo. Bioinformatics analysis revealed a highly significant positive correlation between KIFC1 overexpression and signaling pathways associated with tumor proliferation pathways. In EC109 cells, overexpression of KIFC1 significantly increased the rate of centrosome amplification and the likelihood of pseudo-bipolar division. Furthermore, the expression of KIFC1 and the rate of centrosome amplification in ESCC tissues were also positively correlated. In order to explore the underline molecular mechanisms, we identified, through proteomics, that KIFC1 binds to the protein Aurora B. The knockdown of KIFC1 significantly reduced the distribution of Aurora B on the metaphase plate and substantially inhibited the phosphorylation of its classical substrate, Histone H3. In conclusion, these findings indicate the potential utility of KIFC1 as both a tumor marker and a promising target for therapeutic interventions.

Identification of KIFC1 as an independent prognostic marker in renal clear cell carcinoma correlates with tumor proliferation and immune infiltration

Renal clear cell carcinoma (ccRCC) is the world's most common form of cancer. Up to a third will develop metastases; the 5-year survival rate of the patients was only 14%. Practical prognostic markers remain to be discovered. Kinesin-like protein (KIFC1), a critical factor in maintaining the stability of the microtubule system, has significant prognostic value in some tumors. We analyzed the prognostic value, associated signaling pathways, and regulatory mechanisms of KIFC1 in ccRCC through bioinformatics and proteomics. Concretely, both mRNA and protein expression levels of KIFC1 were dramatically upregulated. KIFC1 is an independent prognostic factor for ccRCC. The expression of KIFC1 showed a significant positive correlation (Spearman coefficient > 0.7) with tumor proliferation-related pathways (tumor proliferation, G2/M checkpoint, and DNA replication) and tumor inflammation. Further, intratumoral immune cell analysis revealed that high expression of KIFC1 predicted more infiltration of CD8 + T and CD4 + T cells (p < 0.001). However, there was a significant positive relationship between CD8 + T cells and numerous immune checkpoint genes. CD8 + T cells in tumors from the KIFC1 high expression group were at the dysregulated state. High expression of KIFC1 may predict a poor immunotherapy outcome. By proteomics, we analyzed proteins interacting with KIFC1; spliceosome proteins had the most significant enrichment, indicating the new directions for KIFC1 investigation. In conclusion, our study identified KIFC1 as an independent prognostic factor in renal clear cell carcinoma, and the associated processes involved tumor proliferation and immune infiltration. KIFC1 had a close relationship with spliceosome proteins; it may be a new research direction.

The influence of COVID-19 on colorectal cancer was investigated using bioinformatics and systems biology techniques

Introduction

Coronavirus disease 2019 (COVID-19) is a global pandemic and highly contagious, posing a serious threat to human health. Colorectal cancer (CRC) is a risk factor for COVID-19 infection. Therefore, it is vital to investigate the intrinsic link between these two diseases.

Methods

In this work, bioinformatics and systems biology techniques were used to detect the mutual pathways, molecular biomarkers, and potential drugs between COVID-19 and CRC.

Results

A total of 161 common differentially expressed genes (DEGs) were identified based on the RNA sequencing datasets of the two diseases. Functional analysis was performed using ontology keywords, and pathway analysis was also performed. The common DEGs were further utilized to create a protein-protein interaction (PPI) network and to identify hub genes and key modules. The datasets revealed transcription factors-gene interactions, co-regulatory networks with DEGs-miRNAs of common DEGs, and predicted possible drugs as well. The ten predicted drugs include troglitazone, estradiol, progesterone, calcitriol, genistein, dexamethasone, lucanthone, resveratrol, retinoic acid, phorbol 12-myristate 13-acetate, some of which have been investigated as potential CRC and COVID-19 therapies.

Discussion

By clarifying the relationship between COVID-19 and CRC, we hope to provide novel clues and promising therapeutic drugs to treat these two illnesses.

Kinesin family member C 1 overexpression exerts tumor-promoting properties in head and neck squamous cell carcinoma via the Rac1/Wnt/β-catenin pathway

Kinesin family member C 1 (KIFC1) is a kinesin-14 motor protein, and its abnormal upregulation promotes the malignant behavior of cancer cells. N6-methyladenosine (m6A) RNA methylation is a common modification of eukaryotic mRNA and affects RNA expression. Herein, we explored how KIFC1 regulated head and neck squamous cell carcinoma (HNSCC) tumorigenesis and how m6A modification affected KIFC1 expression. Bioinformatics analysis was performed to screen for genes of interest, and in vitro and in vivo studies were carried out to investigate the function and mechanism of KIFC1 in HNSCC. We observed that the expression of KIFC1 in HNSCC tissues was significantly higher than in normal or adjacent normal tissues. Cancer patients with higher KIFC1 expression have lower tumor differentiation status. Demethylase alkB homolog 5 (ALKBH5), a cancer-promoting factor in HNSCC, could interact with KIFC1 mRNA and post-transcriptionally activated KIFC1 through m6A modification. KIFC1 downregulation suppressed HNSCC cell growth and metastasis in vivo and in vitro. However, overexpression of KIFC1 promoted these malignant behaviors. We demonstrated that KIFC1 overexpression activated the oncogenic Wnt/β-catenin pathway. KIFC1 interacted with the small GTPase Ras-related C3 botulinum toxin substrate 1 (Rac1) at the protein level and increased activity. The Rho GTPase Rac1 was indicated to be an upstream activator of the Wnt/β-catenin signaling pathway, and its Rac1 inhibitor, NSC-23766, treatment reversed the effects caused by KIFC1 overexpression. Those observations demonstrate that abnormal expression of KIFC1 may be regulated by demethylase ALKBH5 in an m6A-dependent manner and promote HNSCC progression via the Rac1/Wnt/β-catenin pathway.

Expression of kinesin family member C1 in pancreatic ductal adenocarcinoma affects tumor progression and stemness

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer and the third leading cause of cancer-related deaths. Therefore, there is an urgent need for a novel molecular target for the treatment of PDAC. Kinesin family member C1 (KIFC1) belongs to the kinesin superfamily proteins and has been reported to be involved in the pathogenesis of a wide variety of carcinomas. However, the role of KIFC1 in PDAC remains unknown. This study aimed to analyze the expression and biological function of KIFC1 in PDAC. Immunohistochemically, KIFC1 was found in 37 of 81 PDAC cases (46%). A high expression of KIFC1 was significantly related to tumor size (p = 0.023) and poor overall survival (p = 0.011). Univariate and multivariate analysis indicated that KIFC1 expression was a prognostic factor in PDAC cases. As for cancer stem cell markers, KIFC1 expression tended to co-express significantly with CD44 (p < 0.01). The growth and spheroid colony formation of KIFC1 small interfering RNA (siRNA)-transfected PDAC cells were significantly lower than those of negative control siRNA-transfected cells. Therefore, our findings suggest that KIFC1 is an independent prognostic factor in PDAC and may represent a new promising therapeutic target in PDAC.

Integrative transcriptional characterization of cell cycle checkpoint genes promotes clinical management and precision medicine in bladder carcinoma

Background

The aberrant regulation of cell cycle is significantly correlated with cancer carcinogenesis and progression, in which cell cycle checkpoints control phase transitions, cell cycle entry, progression, and exit. However, the integrative role of cell cycle checkpoint-related genes (CRGs) in bladder carcinoma (BC) remains unknown.

Methods

The transcriptomic data and clinical features of BC patients were downloaded from The Cancer Genome Atlas (TCGA), used to identify CRGs correlated with overall survival (OS) by univariate Cox regression analysis. Then, the multivariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses further developed a prognostic CRG signature, which was validated in three external datasets retrieved from Gene Expression Omnibus (GEO). The receiver operating characteristic curve (ROC) analysis was conducted for evaluating the performance of the CRG signature in prognosis prediction. RNA sequencing (RNA-Seq) was performed to explore the expression difference in the identified CRGs between tumor and normal tissue samples from 11 BC patients in the local cohort. Ultimately, genomic profiles and tumor microenvironment (TME), and the Genomics of Drug Sensitivity in Cancer (GDSC) were investigated to guide precision treatment for BC patients with different CRG features.

Results

The novel constructed 23-CRG prognostic signature could stratify BC patients into high-risk and low-risk groups with significantly different outcomes (median OS: 13.64 vs. 104.65 months). Notably, 19 CRGs were the first to be identified as being associated with BC progression. In three additional validation datasets (GSE13507, GSE31684, and GSE32548), higher CRG scores all indicated inferior survival, demonstrating the robust ability of the CRG signature in prognosis prediction. Moreover, the CRG signature as an independent prognostic factor had a robust and stable risk stratification for BC patients with different histological or clinical features. Then, a CRG signature-based nomogram with a better performance in prognostic prediction [concordance index (C-index): 0.76] was established. Functional enrichment analysis revealed that collagen-containing extracellular matrix (ECM), and ECM-related and MAPK signaling pathways were significantly associated with the signature. Further analysis showed that low-risk patients were characterized by particularly distinctive prevalence of FGFR3 (17.03% vs. 6.67%, p < 0.01) and POLE alterations (7.97% vs. 2.50%, p < 0.05), and enrichment of immune infiltrated cells (including CD8+ T cells, CD4+ naïve T cells, follicular helper T cells, Tregs, and myeloid dendritic cells). RNA-seq data in our local cohort supported the findings in the differentially expressed genes (DEGs) between tumor and normal tissue samples, and the difference in TME between high-risk and low-risk groups. Additionally, CRG signature score plus FGFR3 status divided BC patients into four molecular subtypes, with distinct prognosis, TME, and transcriptomic profiling of immune checkpoint genes. Of note, CRG signature score plus FGFR3 status could successfully distinguish BC patients who have a higher possibility of response to immunotherapy or chemotherapy drugs.

Conclusions

The CRG signature is a potent prognostic model for BC patients, and in combination with FGFR3 alterations, it had more practical capacity in the prediction of chemotherapy and immunotherapy response, helping guide clinical decision-making.

Complementation of fission yeast kinesin-5/Cut7 with human Eg5 provides a versatile platform for screening of anti-cancer compounds

Kinesin-5 family proteins are essential for bipolar spindle assembly to ensure mitotic fidelity. Here we demonstrate evolutionary functional conservation of kinesin-5 between human and fission yeast. Human Eg5 expressed in the nucleus replaces fission yeast counterpart Cut7. Intriguingly, Eg5 overproduction results in cytotoxicity. This phenotype provides a useful platform for the development of novel kinesin-5 inhibitors as anti-cancer drugs.

Prognostic and Clinicopathological Value of ZWINT Expression Levels in Patients with Lung Adenocarcinoma: A Systematic Review and Meta-analysis

The current study found that high Zeste White 10 interactor (ZWINT) expression is related to the poor prognosis of patients with a variety of cancers. This study mainly explored the relationship between the expression level of ZWINT and the prognosis of patients with lung adenocarcinoma (LUAD). Briefly, four English databases and two high-throughput sequencing databases were searched and relevant data for meta-analysis were extracted. Pooled mean difference and 95% confidence interval (CI) were used to assess the relationships between clinical features and the expression of ZWINT. Pooled hazard ratio and 95% CI were also used to assess the relationships between clinical features and the expression level of ZWINT. This meta-analysis was registered in PROSPERO (CRD42021249475). A total of 16 high-quality datasets comprising 2,847 LUAD patients were included in this study. Higher ZWINT expression levels were found in patients younger than 65 years, males, and smokers, and were correlated with advanced TNM stages and poor prognosis. Notably, there was no publication bias in this meta-analysis. Overall, our findings indicate that ZWINT is a potential biomarker for poor prognosis and clinicopathological outcomes of patients with LUAD.