FKBP14 overexpression contributes to osteosarcoma carcinogenesis and indicates poor survival outcome

Clinical Significance and Potential Mechanisms of the RNA Methyltransferase KIAA1429 in Osteosarcoma

Background: KIAA1429, a member of the RNA methyltransferase complex, is involved in cancer progression; however, the clinical significance and underlying mechanism of KIAA1429 in osteosarcoma (OS) remains to be reported. Methods: We evaluated the clinical significance of KIAA1429 in OS by performing RT-qPCR, microarray, and RNA sequencing and using published data as a reference. Two KIAA1429-targeting siRNA constructs were transfected into SW1353 cells. CCK-8 assay, colony formation assays, flow cytometry and the xenograft mouse model were conducted to investigate the biological function of KIAA1429 in OS. Results: The mRNA expression of KIAA1429 was markedly upregulated in 250 OS samples as compared to that in 71 non-cancer samples (standardized mean difference = 0.67). Summary receiver operating characteristic curve analysis revealed that KIAA1429 exhibited reliable diagnostic capacity to differentiate OS samples from non-cancer samples (area under the curve = 0.83). Further, survival analysis indicated that KIAA1429 overexpression was associated with shorter overall survival time. Knocking down KIAA1429 reduced m6A methylation levels, inhibited proliferation, prevented the growth of tumors in vivo and accelerated apoptosis of OS cells. In total, 395 KIAA1429-related genes were identified among co-expressed genes and differentially expressed genes, which were enriched in the cell cycle pathway. Protein-protein interaction network analysis showed that CDK1, CCNA2, and CCNB1 were KIAA1429-related genes, serving as major network hubs in OS. Conclusions: Our findings indicate that KIAA1429 plays an oncogenic role in OS and potentially facilitates OS progression via a mechanism that involves regulating CDK1, CCNA2, and CCNB1.

Identification of KIF4A as a prognostic biomarker for esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is the most common and aggressive tumor worldwide, and the long-term survival of these patients remains poor. Three databases (GSE17351, GSE20347, and GSE100942) were obtained from Gene Expression Omnibus, and 193 differentially expressed genes including 56 upregulated and 137 downregulated genes were identified by paired test using limma R package. Then, functional enrichments by gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed these genes were mainly related protein digestion and absorption, and IL-17 signaling pathway. We then constructed a protein-protein interaction network and cytoHubba module to determine the six hub genes and overall survival analysis of the six hub genes were evaluated by UALCAN and GEPIA2 analysis. Ultimately, the experimental results confirmed the KIF4A was overexpressed in the ESCC tissues and cell lines compared with the normal esophageal mucosal tissues and was linked to poor prognosis. Moreover, we also revealed that KIF4A facilitates proliferation, cell cycle, migration, and invasion of ESCC in vivo and in vitro. Overall, these findings demonstrated that KIF4A could serve as diagnostic and prognostic biomarkers and may help facilitate therapeutic targets in ESCC patients.

Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods

Background

Though considerable efforts have been made to improve the treatment of epithelial ovarian cancer (EOC), the prognosis of patients has remained poor. Identifying differentially expressed genes (DEGs) involved in EOC progression and exploiting them as novel biomarkers or therapeutic targets is of great value.

Methods

Overlapping DEGs were screened out from three independent gene expression omnibus (GEO) datasets and were subjected to Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses. The protein-protein interactions (PPI) network of DEGs was constructed based on the STRING database. The expression of hub genes was validated in GEPIA and GEO. The relationship of hub genes expression with tumor stage and overall survival and progression-free survival of EOC patients was investigated using the cancer genome atlas data.

Results

A total of 306 DEGs were identified, including 265 up-regulated and 41 down-regulated. Through PPI network analysis, the top 20 genes were screened out, among which 4 hub genes, which were not researched in depth so far, were selected after literature retrieval, including CDC45, CDCA5, KIF4A, ESPL1. The four genes were up-regulated in EOC tissues compared with normal tissues, but their expression decreased gradually with the continuous progression of EOC. Survival curves illustrated that patients with a lower level of CDCA5 and ESPL1 had better overall survival and progression-free survival statistically.

Conclusion

Two hub genes, CDCA5 and ESPL1, identified as probably playing tumor-promotive roles, have great potential to be utilized as novel therapeutic targets for EOC treatment.

FKBP9 promotes the malignant behavior of glioblastoma cells and confers resistance to endoplasmic reticulum stress inducers

Background

FK506-binding protein 9 (FKBP9) is amplified in high-grade gliomas (HGGs). However, the roles and mechanism(s) of FKBP9 in glioma are unknown.

Methods

The expression of FKBP9 in clinical glioma tissues was detected by immunohistochemistry (IHC). The correlation between FKBP9 expression levels and the clinical prognosis of glioma patients was examined by bioinformatic analysis. Glioblastoma (GBM) cell lines stably depleted of FKBP9 were established using lentiviruses expressing shRNAs against FKBP9. The effects of FKBP9 on GBM cells were determined by cell-based analyses, including anchorage-independent growth, spheroid formation, transwell invasion assay, confocal microscopy, immunoblot (IB) and coimmunoprecipitation assays. In vivo tumor growth was determined in both chick chorioallantoic membrane (CAM) and mouse xenograft models.

Results

High FKBP9 expression correlated with poor prognosis in glioma patients. Knockdown of FKBP9 markedly suppressed the malignant phenotype of GBM cells in vitro and inhibited tumor growth in vivo. Mechanistically, FKBP9 expression induced the activation of p38MAPK signaling via ASK1. Furthermore, ASK1-p38 signaling contributed to the FKBP9-mediated effects on GBM cell clonogenic growth. In addition, depletion of FKBP9 activated the IRE1α-XBP1 pathway, which played a role in the FKBP9-mediated oncogenic effects. Importantly, FKBP9 expression conferred GBM cell resistance to endoplasmic reticulum (ER) stress inducers that caused FKBP9 ubiquitination and degradation.

Conclusions

Our findings suggest an oncogenic role for FKBP9 in GBM and reveal FKBP9 as a novel mediator in the IRE1α-XBP1 pathway.

Prognostic Significance of FKBP14 in Gastric Cancer

Introduction

Although our understanding on gastric cancer biology is better than a decade ago, its practical effect on screening and diagnosis remains limited. Moreover, there are no markers that can be accurately used in the clinic to diagnose early-stage gastric cancer or monitor the patient's response to therapy. Herein, we investigate whether FKBP14 is involved in the progression of gastric cancer.

Methods

The AGS cell line was chosen for over-expression analysis, whereas the SGC-7901 cell line was selected for knock-down analysis. AGS cells were transfected with an FKBP14 overexpression plasmid (AGS-PLV.O-FLAG). The expression pattern of FKBP14 in both cell lines was determined by Western blot and RT-PCR. Cell proliferation was assessed using Cell Counting Kit-8, whereas apoptosis was performed using flow cytometry. The expression of FKBP14 in 70 Chinese patients with gastric cancer was also investigated using tissue microarrays and compared with gastric cancer patients from The Cancer Genome Atlas.

Results

FKBP14 was highly expressed in SGC7901 and had a relatively low expression in AGS cells. Upregulation of FKBP14 in AGS cells promoted migration and invasion and inhibits apoptosis. Knock-down of FKBP14 resulted in a suppression in migration and invasion and promoted apoptosis in the SGC-7901 cell line. Effectively, gastric cancer patients had a higher expression of FKBP14, with a lower survival rate (P = 0.028). Patients with a high expression of FKBP14 were significantly correlated with lymph node metastasis (P =0.016), and an advanced histologic grade (P =0.021).

Conclusion

FKBP14 is often up-regulated in gastric cancer. Patients with a high expression of FKBP14 are usually associated with worse overall survival. FKBP14 is an oncogene in gastric cancer, and is a potential biomarker for GC diagnosis, invasion, and prognosis.

Increasing of FKBP9 can predict poor prognosis in patients with prostate cancer

BACKGROUND

FK506 binding protein 9 (FKBP9) has been reported and identified for a long time, but its relationship with cancer is rarely studied. For example, the role of FK506 binding protein 9 in prostate cancer (PCa) is still unclear. Therefore, we decided to detect the expression level of FKBP9 in PCa and explore its clinical significance.

METHODS

The expression level of FKBP9 protein was detected by immunohistochemistry. In addition, it was demonstrated by high-throughput sequencing of mRNA levels in the TCGA (cancer genome atlas) dataset of 499 patients. Kaplan-meier analysis and Cox proportional hazard regression model were used to evaluate the relationship between FKBP9 expression and survival in prostate cancer patients.

RESULTS

The expression of FKBP9 was localized in the cytoplasm, which in normal prostate tissues was obviously lower than that in PCa tissues (P = 0.001). High expression of FKBP9 was related with lymph node metastasis (P = 0.022) and distant metastasis (P = 0.028). Kaplan-Meier survival analysis revealed that the BCR-free survival of PCa patients with high FKBP9 level was significantly shortened (P=0.041).

CONCLUSIONS

FKBP9 may be a cancer promoter that enhances PCa progression, and the level of FKBP9 may be used as an independent precursor of PCa patients.

FKBP14 Promotes The Proliferation And Migration Of Colon Carcinoma Cells Through Targeting IL-6/STAT3 Signaling Pathway

PURPOSE

FK506-binding proteins 14 (FKBP14), a highly conserved protein, is identified as an oncogene in certain human tumors. However, the detailed biological function of FKBP14 in colon carcinoma remains unclear. The purpose of the present research is to examine the role of FKBP14 in human colon carcinoma cells.

METHODS

In the present study, FKBP14 induced silencing and overexpression in colon carcinoma cells by using RNA interference (RNAi) and lentiviral vector, respectively. A specific JAK/STAT inhibitor AG490 was used to explore the relationship between FKBP14 and STAT3 in colon carcinoma cells. Moreover, quantitative real-time polymerase chain reaction (qRT-PCR) and Western blot were used to examine the level of FKBP14 in colon carcinoma cells. Cell counting kit-8 (CCK-8) assay was used to determine the proliferation rate of colon carcinoma cells. Further, the migration rate of colon carcinoma cells was analyzed by performing a migration assay.

RESULTS

Our results demonstrated that FKBP14 was upregulated in human colon carcinoma tissues. Moreover, high level of FKBP14 was associated with poor prognosis of colon carcinoma patients. Further, our findings firstly elucidated that FKBP14 was a pro-proliferation and migration factor in colon carcinoma cells. More importantly, FKBP14 might be a novel component in IL-6/JAK/STAT3 pathway and targeted STAT3 in colon carcinoma cells.

CONCLUSION

Our research not only indicated the potential signaling pathway of FKBP14 in colon carcinoma cells but also provided novel insight into the treatment for colon carcinoma.

A risk assessment model for the prognosis of osteosarcoma utilizing differentially expressed lncRNAs

The present study was conducted to establish a risk assessment model for evaluating osteosarcoma prognosis based on prognosis-associated long non-coding RNA (lncRNA) expression. Human osteosarcoma expression profiles were obtained from the NCBI GEO and EBI ArrayExpress databases and differently expressed lncRNAs between good and poor prognosis groups were evaluated using Student's t-test and Wilcoxon rank test in R (v. 3.1.0). A multivariate Cox regression was used to establish a risk assessment system based on lncRNA expression levels, with the associated regression coefficients used as the weight. Survival analysis and receiver operating characteristic (ROC) curves were constructed to verify the accuracy of the risk assessment model. Associations between the prognosis, risk assessment model and clinical features were also investigated using univariate and multivariate Cox regression analyses. Furthermore, differentially expressed genes associated with the lncRNAs in the risk assessment model were identified, and functional enrichment analysis was performed. A total of 9 from the 211 differentially expressed lncRNAs were selected to establish the risk assessment model. The risk assessment model exhibited a good prognostic prediction ability, with high area under the curve values in the training and validation sets. Additionally, the calculated risk score based on the 9 selected lncRNAs was identified to be an independent prognostic factor for osteosarcoma. Furthermore, differentially expressed genes were primarily enriched in the cell cycle, oxidative phosphorylation and cell adhesion processes. The present study described a risk assessment model based on 9 significantly differentially expressed lncRNAs, which was identified to have a high accuracy in potentially predicting patient prognosis.

Minichromosome maintenance protein 2 and 3 promote osteosarcoma progression via DHX9 and predict poor patient prognosis

A label free quantitative proteomic approach (SWATH™ experiment) was performed to identify tumor-associated nuclear proteins that are differentially expressed between osteosarcoma cells and osteoblast cells. By functional screening, minichromosome maintenance protein 2 (MCM2) and minichromosome maintenance protein 3 (MCM3) were found to be related to osteosarcoma cell growth. Here, we show that knockdown of MCM2 or MCM3 inhibits osteosarcoma growth in vitro and in vivo. In co-immunoprecipitation and co-localization experiments, MCM2 and MCM3 were found to interact with DExH-box helicase 9 (DHX9) in osteosarcoma cells. A rescue study showed that the decreased growth of osteosarcoma cells by MCM2 or MCM3 knockdown was reversed by DHX9 overexpression, indicating that MCM2 and MCM3 activity was DHX9-dependent. In addition, the depletion of DHX9 hindered osteosarcoma cell proliferation. Notably, MCM2 and MCM3 expression levels were positively correlated with the DHX9 expression level in tumor samples and were associated with a poor prognosis in patients with osteosarcoma. Taken together, these results suggest that the MCM2/MCM3–DHX9 axis has an important role in osteosarcoma progression.

Homeodomain-containing gene 10 inhibits cell apoptosis and promotes cell invasion and migration in osteosarcoma cell lines

Homeodomain-containing gene 10 (HOXC10) belongs to the homeobox family, which encodes a highly conserved family of transcription factors that plays an important role in morphogenesis in all multicellular organisms. Altered expressions of HOXC10 have been reported in several malignancies. This study was aimed to reveal the expression profile of HOXC10 in osteosarcoma and evaluated whether HOXC10 is a molecular target for cancer therapy. We found that HOXC10 was up-regulated in osteosarcoma tissues compared with bone cyst specimens from The Cancer Genome Atlas database. Osteosarcoma MG63 cells were infected with HOXC10 shRNA expressing vector, and 143B cells were infected with HOXC10 expressing vector. We found that reduced expression of HOXC10 markedly impaired the ability of proliferation, invasion, and migration, and promoted cell apoptosis in vitro and in vivo. Up-regulated expression of HOXC10 promoted the proliferation, invasion, and migration, and inhibited apoptosis of 143B cells. Additionally, HOXC10 regulated apoptosis and migration via modulating expression of Bax/Bcl-2, caspase-3, MMP-2/MMP-9, and E-cadherin in both MG63 and 143B cells and in vivo. These results indicated that HOXC10 might be a diagnostic marker for osteosarcoma and could be a potential molecular target for the therapy of osteosarcoma.

Heat shock transcription factor 1 promotes the proliferation, migration and invasion of osteosarcoma cells

OBJECTIVES

Osteosarcoma is the most commonly diagnosed primary malignancy of bone and its overall survival rate is still very low. The molecular mechanisms underlying the progression of osteosarcoma have not been clearly illuminated. Heat shock transcription factor 1 (HSF1) is a key regulator of the heat shock response and also plays important roles in many cancers, but its function in osteosarcoma remains unexplored.

MATERIALS AND METHODS

In this study, the proliferation of osteosarcoma cells was determined by Cell Counting Kit-8 assays and colony formation assays. Transwell assays were used to demonstrate the migration and invasion abilities of osteosarcoma cells. A tumour formation assay in a nude mouse model was performed to assess the effect of HSF1 on osteosarcoma cell growth in vivo. The protein levels of HSF1 were analysed with immunohistochemical staining in samples from osteosarcoma patients.

RESULTS

We demonstrated that knockdown of HSF1 reduced the proliferation, migration and invasion of osteosarcoma cells, while overexpression of HSF1 promoted the proliferation, migration and invasion of osteosarcoma cells. Furthermore, HSF1 promoted the proliferation of osteosarcoma cells in vivo. In addition, high levels of HSF1 were associated with a poor prognosis in osteosarcoma.

CONCLUSIONS

These data highlight an important role of HSF1 in proliferation, migration and invasion of osteosarcoma cells. Moreover, the expression of HSF1 was associated with prognosis in osteosarcoma.