Elevated C1orf63 expression is correlated with CDK10 and predicts better outcome for advanced breast cancers: a retrospective study

Machine Learning Gene Signature to Metastatic ccRCC Based on ceRNA Network

Clear-cell renal-cell carcinoma (ccRCC) is a silent-development pathology with a high rate of metastasis in patients. The activity of coding genes in metastatic progression is well known. New studies evaluate the association with non-coding genes, such as competitive endogenous RNA (ceRNA). This study aims to build a ceRNA network and a gene signature for ccRCC associated with metastatic development and analyze their biological functions. Using data from The Cancer Genome Atlas (TCGA), we constructed the ceRNA network with differentially expressed genes, assembled nine preliminary gene signatures from eight feature selection techniques, and evaluated the classification metrics to choose a final signature. After that, we performed a genomic analysis, a risk analysis, and a functional annotation analysis. We present an 11-gene signature: SNHG15, AF117829.1, hsa-miR-130a-3p, hsa-mir-381-3p, BTBD11, INSR, HECW2, RFLNB, PTTG1, HMMR, and RASD1. It was possible to assess the generalization of the signature using an external dataset from the International Cancer Genome Consortium (ICGC-RECA), which showed an Area Under the Curve of 81.5%. The genomic analysis identified the signature participants on chromosomes with highly mutated regions. The hsa-miR-130a-3p, AF117829.1, hsa-miR-381-3p, and PTTG1 were significantly related to the patient's survival and metastatic development. Additionally, functional annotation resulted in relevant pathways for tumor development and cell cycle control, such as RNA polymerase II transcription regulation and cell control. The gene signature analysis within the ceRNA network, with literature evidence, suggests that the lncRNAs act as "sponges" upon the microRNAs (miRNAs). Therefore, this gene signature presents coding and non-coding genes and could act as potential biomarkers for a better understanding of ccRCC.

Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data

Selecting informative features, such as accurate biomarkers for disease diagnosis, prognosis and response to treatment, is an essential task in the field of bioinformatics. Medical data often contain thousands of features and identifying potential biomarkers is challenging due to small number of samples in the data, method dependence and non-reproducibility. This paper proposes a novel ensemble feature selection method, named Filter and Wrapper Stacking Ensemble (FWSE), to identify reproducible biomarkers from high-dimensional omics data. In FWSE, filter feature selection methods are run on numerous subsets of the data to eliminate irrelevant features, and then wrapper feature selection methods are applied to rank the top features. The method was validated on four high-dimensional medical datasets related to mental illnesses and cancer. The results indicate that the features selected by FWSE are stable and statistically more significant than the ones obtained by existing methods while also demonstrating biological relevance. Furthermore, FWSE is a generic method, applicable to various high-dimensional datasets in the fields of machine intelligence and bioinformatics.

C1orf63 silencing affects breast cancer cell proliferation, apoptosis, and cycle distribution by NF-κB signaling pathway

OBJECTIVE

To investigate the effect of C1orf63 on breast cancer cell (BCC) proliferation, apoptosis, and cycle distribution and related mechanisms.

METHODS

The expression of C1orf63 was interfered with in BCC line MCF and cells were divided into a C1orf63 overexpression group, C1orf63 silence group, blank group, and empty group. The mRNA expression of C1orf63 and the proliferation, apoptosis, and cycle distribution of BCCs were detected. The mRNA expression levels of NF-κB signaling pathway factors (p-IκBα, CyclinD1, CDK4, Bcl-2, and Bax) in each group were also detected.

RESULTS

There was no significant difference between the blank group and empty group in the expression level of C1orf63 mRNA, cell proliferation rate, apoptosis rate, cell distribution rate, or mRNA expression levels of the NF-κB signaling pathway factors (all P>0.05). The expression levels of C1orf63 mRNA in the C1orf63 silenced group were lower than those in the other two groups (P<0.05). The cell proliferation rate, cell distribution in S phase and G2/M phase, and the mRNA expression levels of NF-κB signaling pathway factors (p-IκBα, CyclinD1, CDK4, and Bcl-2) in the C1orf63 silenced group at each time point were lower than those in the other two groups (all P<0.05). The apoptosis rate, cells in G1 phase, and the Bax mRNA expression level in C1orf63 silenced group at each time point were higher than those in the other two groups (all P<0.05).

CONCLUSION

Down-regulation of C1orf63 acts on the NF-κB signaling pathway to regulate the expression of p-IκBα, CyclinD1, and CDK4, so as to inhibit BCC proliferation, promote cell apoptosis, and block the cell cycle.

Association of Cyclin Dependent Kinase 10 and Transcription Factor 2 during Human Corneal Epithelial Wound Healing in vitro model

Proper wound healing is dynamic in order to maintain the corneal integrity and transparency. Impaired or delayed corneal epithelial wound healing is one of the most frequently observed ocular defect and difficult to treat. Cyclin dependen kinase (cdk), a known cell cycle regulator, required for proper proliferating and migration of cell. We therefore investigated the role of cell cycle regulator cdk10, member of cdk family and its functional association with transcriptional factor (ETS2) at active phase of corneal epithelial cell migration. Our data showed that cdk10 was associated with ETS2, while its expression was upregulated at the active phase (18 hours) of cell migration and gradually decrease as the wound was completely closed. Topical treatment with anti-cdk10 and ETS2 antibodies delayed the wound closure time at higest concentration (10 µg/ml) compared to control. Further, our results also showed increased mRNA expression of cdk10 and ETS2 at active phase of migration at approximately 2 fold. Collectively, our data reveals that cdk10 and ETS2 efficiently involved during corneal wound healing. Further studies are warranted to better understand the mechanism and safety of topical cdk10 and ETS2 proteins in corneal epithelial wound-healing and its potential role for human disease treatment.

Attenuated ZHX3 expression serves as a potential biomarker that predicts poor clinical outcomes in breast cancer patients

Background

The ZHX family has recently been in the spotlight as an integrator and an indispensable node in carcinogenesis, whose expression is frequently dysregulated in multiple cancers. The current study provides a novel investigation of the expression profiles of ZHX factors in breast cancer.

Materials and methods

The mRNA levels of ZHXs and follow-up periods in breast cancer patients were mined through the Oncomine, Cancer Cell Line Encyclopedia, bc-GenExMiner, cBioPortal and Kaplan–Meier plotter databases. In addition, ZHX3 protein expression was examined in 98 primary tumor samples by immunohistochemistry to investigate its association with clinicopathological parameters and patient outcomes.

Results

We found that the transcriptional levels of ZHX1, ZHX2 and ZHX3 were not significantly altered in tumor tissues compared with those in nontumor tissues. ZHX2 and ZHX3 mRNA levels were observed to be positively correlated with estrogen receptor and progesterone receptor expression, while ZHX2 mRNA levels were negatively associated with HER2 expression. Survival analyses revealed that high mRNA levels of ZHX2 and ZHX3 correlated with better overall survival in patients with breast cancer. Immunohistochemical analysis revealed that patients with decreased ZHX3 protein levels had poorer outcomes. Multivariate analysis exhibited that ZHX3 expression may serve as an independent high-risk prognostic predictor.

Conclusion

Dysregulated expression of ZHXs may be involved in the progression of breast cancer and could serve as a novel biomarker and potential target for breast cancer.

Distinct prognostic values of mRNA expression of glutathione peroxidases in non-small cell lung cancer

Introduction

Glutathione peroxidases (GPxs) constitutes an enzyme family which has the ability to reduce free hydrogen peroxide to water and lipid hydroperoxides to their corresponding alcohols, and its main biological roles are to protect organisms from oxidative stress-induced damage. GPxs include eight members in different tissues of the body, and they play essential roles in carcinogenesis. However, the prognostic value of individual GPx in non-small cell lung cancer (NSCLC) remains elusive.

Materials and methods

In the current study, we investigated the prognostic value of GPxs in NSCLC patients through the “Kaplan–Meier plotter” database, wherein updated gene expression data and survival information from a total of 1,926 NSCLC patients are included.

Results

High expression of GPx1 mRNA was correlated with worse overall survival (OS) in adenocarcinoma patients. High expression of GPx2 mRNA was correlated with worse OS for all NSCLC patients. In contrast, high expression of GPx3 mRNA was associated with better OS for all NSCLC patients. High expression of GPx4 mRNA was significantly correlated with worsening adenocarcinoma in these patients. GPx5 mRNA high expression correlated with worsening OS for all NSCLC patients.

Discussion

The current findings of prognostic values of individual mRNA expression of GPxs in NSCLC patients indicate some GPxs may have prognostic value in NSCLC patients, and this needs further study.

Cyclin‑dependent kinase 10 prevents glioma metastasis via modulation of Snail expression

Cyclin‑dependent kinase 10 (CDK10) has been indicated to be a candidate tumor suppressor in multiple cancer types. However, to the best of the authors' knowledge, its biological and regulatory functions in glioma have not been previously reported. In the present study, it was demonstrated that overexpression of CDK10 inhibited glioma cell proliferation and metastasis. By contrast, knockdown of CDK10 expression promoted these malignant phenotypes. It was additionally indicated that dysregulated CDK10 expression was associated with epithelial‑mesenchymal transition (EMT) and that it regulated the expression of zinc finger protein SNAI1 (Snail). Furthermore, silencing Snail expression rescued EMT phenotypes induced by CDK10 knockdown, suggesting that Snail may be involved in the mechanistic association between CDK10 and EMT. The present study illustrated that downregulation of CDK10 expression activated Snail‑driven EMT and consequently promoted glioma metastasis, suggesting that CDK10 may serve as a potential molecular target for glioma therapy.

Prognostic roles of Notch receptor mRNA expression in human ovarian cancer

Aberrant activation of Notch signaling pathway has been correlated with high grade ovarian carcinoma and carcinogenesis. However, the predictive and prognostic values of Notch signaling pathway in ovarian cancer patients remains unclear. We utilize “The Kaplan-Meier plotter” (KM plotter) background database to access the prognostic values including overall survival (OS), progression-free survival (PFS), as well as post-progression survival (PPS) of four Notch receptor mRNA expression in ovarian cancer patients. Notch1 mRNA high expression was not correlated with OS, PFS and PPS for all ovarian cancer patients, but significantly correlated with poor PFS in TP53 wild type and favorite PFS in TP53 mutation type ovarian cancer patients. Notch2 mRNA high expression was significantly correlated with poor PFS for all ovarian cancer patients, especially in grade II patients. Notch3 mRNA high expression was significantly correlated with favorite PFS for all ovarian cancer patients. Notch4 mRNA high expression was significantly correlated with favorite OS, but not PFS and PPS for all ovarian cancer patients. The results strongly support that there are distinct prognostic values of four Notch receptor mRNA expression in ovarian cancer patients.

Downregulated CDK10 expression in gastric cancer: Association with tumor progression and poor prognosis

The tumor suppressor characteristics of cyclin‑dependent kinase 10 (CDK10) in nasopharyngeal carcinoma and breast cancer have been previously demonstrated. In the present study the expression status of CDK10 and its prognostic significance in gastric cancer was determined, as well as its role in cell proliferation and invasion. Immunoblot analysis revealed that CDK10 protein expression was notably decreased in gastric cancer compared with normal tissues. Immunohistochemistry demonstrated that the loss of CDK10 expression, which was observed in 50.8% of primary gastric cancer tissues (n=128), significantly correlated with advanced tumor stage (P<0.001), frequent lymph node metastasis (P<0.001), distant metastasis (P=0.013), tumor differentiation (P=0.004) and unfavorable overall survival (P<0.001). Multivariate analysis suggested that CDK10 expression may serve as an independent prognostic predictor (P=0.001) for the progression of gastric cancer. In addition, ectopic CDK10 expression inhibited gastric cancer cell proliferation, migration and invasion, while knockdown of CDK10 promoted these phenotypes. Collectively, the results of the present study indicated that CDK10 expression may serve as a novel prognostic biomarker that holds therapeutic promise for gastric cancer.

Prognostic values of excision repair cross-complementing genes mRNA expression in ovarian cancer patients

Excision repair cross-complementing (ERCC) genes, key components of the nucleotide excision repair pathway, are regarded as crucial factors for DNA repair capacity. Previous studies have investigated prognostic values of ERCC genes in a number of malignancies. However, the relationship between ERCC genes and prognosis of ovarian cancer patients remains controversial. Therefore, in the current study, we systematically analyze the prognostic values of ERCC genes in ovarian cancer by the Kaplan-Meier plotter, which includes updated gene expression data and survival information of 1656 ovarian cancer patients. Our results showed that high expression of ERCC1 and ERCC8 mRNA was related to a worse overall survival among ovarian cancer patients, especially in late stage and poor differentiation serous ovarian patients. Increased ERCC4 mRNA expression indicated a better overall survival among serous ovarian cancer patients. The other ERCC genes were uncorrelated with prognosis in ovarian cancer. These results indicate that some ERCC genes have critical prognostic values in ovarian cancer.

Prognostic values of four Notch receptor mRNA expression in gastric cancer

Notch ligands and receptors are frequently deregulated in several human malignancies including gastric cancer. The activation of Notch signaling has been reported to contribute to gastric carcinogenesis and progression. However, the prognostic roles of individual Notch receptors in gastric cancer patients remain elusive. In the current study, we accessed the prognostic roles of four Notch receptors, Notch 1-4, in gastric cancer patients through "The Kaplan-Meier plotter" (KM plotter) database, in which updated gene expression data and survival information include a total of 876 gastric cancer patients. All four Notch receptors' high mRNA expression was found to be correlated to worsen overall survival (OS) for all gastric cancer patients followed for 20 years. We further accessed the prognostic roles of individual Notch receptors in different clinicopathological features using Lauren classification, pathological grades, clinical grades, HER2 status and different choices of treatments of gastric cancer patients. These results indicate that there are critical prognostic values of the four Notch receptors in gastric cancer. This information will be useful for better understanding of the heterogeneity and complexity in the molecular biology of gastric cancer and to develop tools to more accurately predict their prognosis.

Prognostic values of aldehyde dehydrogenase 1 isoenzymes in ovarian cancer

Aldehyde dehydrogenase 1 (ALDH1) activity has been used as a functional stem cell marker to isolate cancer stem cells in different cancer types, including ovarian cancer. However, which ALDH1’s isoenzymes are contributing to ALDH1 activity in ovarian cancer remains elusive. In addition, the prognostic value of an individual ALDH1 isoenzyme in ovarian cancer is not clear. Thus, we accessed the prognostic value of ALDH1 isoenzymes in ovarian cancer patients through the “Kaplan–Meier plotter” online database, which can be used to determine the effect of the genes on ovarian cancer prognosis. We found that high mRNA expression of five ALDH1 isoenzymes, such as ALDH1A1, ALDH1A2, ALDH1A3, ALDH1B1, and ALDH1L1, was not correlated with overall survival (OS) for all 1,306 ovarian cancer patients. In addition, all five of the ALDH1 isoenzymes’ high mRNA expression was found to be uncorrelated with OS in serous cancer or endometrioid cancer patients. However, ALDH1A3’s high mRNA expression is associated with worse OS in grade II ovarian cancer patients, hazard ratio (HR) 1.53 (1.14–2.07), P=0.005. ALDH1A2’s high mRNA expression is significantly associated with worse OS in TP53 wild-type ovarian cancer patients, HR 2.86 (1.56–5.08), P=0.00036. In addition, ALDH1A3’s high mRNA expression is significantly associated with better OS in TP53 wild-type ovarian cancer patients, HR 0.56 (0.32–1.00), P=0.04. Our results indicate that although ALDH1 isoenzyme mRNA might not be a prognostic marker for overall ovarian cancer patients, some isoenzymes, such as ALDH1A2 and ALDH1A3, might be a good prognostic marker for some types of ovarian cancer patients.

Distinct prognostic values of four-Notch-receptor mRNA expression in ovarian cancer

Notch signaling pathway includes ligands and Notch receptors, which are frequently deregulated in several human malignancies including ovarian cancer. Aberrant activation of Notch signaling has been linked to ovarian carcinogenesis and progression. In the current study, we used the "Kaplan-Meier plotter" (KM plotter) database, in which updated gene expression data and survival information from a total of 1306 ovarian cancer patients were used to access the prognostic value of four Notch receptors in ovarian cancer patients. Hazard ratio (HR), 95 % confidence intervals, and log-rank P were calculated. Notch1 messenger RNA (mRNA) high expression was not found to be correlated to overall survival (OS) for all ovarian cancer, as well as in serous and endometrioid cancer patients followed for 20 years. However, Notch1 mRNA high expression is significantly associated with worsen OS in TP53 wild-type ovarian cancer patients, while it is significantly associated with better OS in TP53 mutation-type ovarian cancer patients. Notch2 mRNA high expression was found to be significantly correlated to worsen OS for all ovarian cancer patients, as well as in grade II ovarian cancer patients. Notch3 mRNA high expression was found to be significantly correlated to better OS for all ovarian cancer patients, but not in serous cancer patients and endometrioid cancer patients. Notch4 mRNA high expression was not found to be significantly correlated to OS for all ovarian cancer patients, serous cancer patients, and endometrioid cancer patients. These results indicate that there are distinct prognostic values of four Notch receptors in ovarian cancer. This information will be useful for better understanding of the heterogeneity and complexity in the molecular biology of ovarian cancer and for developing tools to more accurately predict their prognosis. Based on our results, Notch1 could be a potential drug target of TP53 wild-type ovarian cancer and Notch2 could be a potential drug target of ovarian cancer.

Decreased CDK10 expression correlates with lymph node metastasis and predicts poor outcome in breast cancer patients - a short report

BACKGROUND

Cyclin-dependent kinase 10 (CDK10) has recently been identified as a tumor suppressor and, concordantly, its encoding gene has frequently been found to be inactivated in various human cancers. Here, we examined the expression status of CDK10 in a panel of primary human breast cancers and evaluated its correlation with clinicopathological parameters and clinical outcome.

METHODS

Western blotting was used to assess CDK10 protein levels in 20 paired breast cancer tissues and adjacent noncancerous tissues. In addition, immunohistochemistry was performed in 128 formalin-fixed, paraffin-embedded tumor tissues. Associations of CDK10 expression with various clinicopathological parameters were evaluated and Kaplan-Meier survival analyses and Cox proportional hazards models were used to estimate its effect on patient survival.

RESULTS

We found that CDK10 protein expression was markedly decreased in cancer tissues compared to adjacent noncancerous tissues. Immunohistochemistry revealed decreased CDK10 levels in 65/128 (50.8 %) of the primary breast cancer tissues tested. These decreased levels were found to be significantly associated with lymph node metastasis (P = 0.003), advanced tumor stage (P < 0.001) and unfavorable overall survival (P < 0.001). Furthermore, multivariate analyses indicated that CDK10 expression may serve as an independent prognostic factor for survival (P = 0.001).

CONCLUSION

Down-regulated CDK10 expression frequently occurs in breast cancers and correlates with disease progression and poor survival. CDK10 may serve as a prognostic biomarker for breast cancer.