NudCD1 Promotes the Proliferation and Metastasis of Non-Small Cell Lung Cancer Cells through the Activation of IGF1R-ERK1/2

Expression and Clinical Significance of NUDCD1, PI3K/AKT/mTOR Signaling Pathway-Related Molecules and Immune Infiltration in Breast Cancer

BACKGROUND

NUDCD1 (NudC Domain Containing 1) performs an essential function in biological processes such as cell progression, migration, cell cycle, and intracellular material transport. Many solid tumors express it highly, which is a prospective biomarker and therapeutic approach. However, the expression and clinical importance of NUDCD1 across breast cancer is unclear.

METHODS

The expressions of NUDCD1 in breast cancers and normal breast tissues were studied utilizing the TIMER database and immunohistochemical analysis. Subsequently, we validate the association between the expression of NUDCD1 and clinicopathologic features and prognosis of breast cancer. The immunohistochemical experiments of pathway-related molecules were done on 214 breast cancer tissue microarrays. The investigation of correlation between NUDCD1 expression and tumor immune infiltration was subsequently conducted.

RESULTS

Through the utilization of bioinformatics analysis and immunohistochemical experiments, it was determined that NUDCD1 exhibited upregulation within breast cancer. Furthermore, it was discovered that an elevated expression of NUDCD1 may potentially be linked to a worse prognosis in breast cancer. Our study reveals that the PI3K/AKT/mTOR signaling pathway may perform a function in NUDCD1 regulating breast cancer progression via enrichment analysis. Furthermore, the expression of NUDCD1 may be associated with the degree of immunological infiltration.

CONCLUSION

The expression of NUDCD1 was explored to be elevated in breast cancer and was observed to be correlated with a poorer prognosis. p-AKT, PI3K, AKT, mTOR, and p-mTOR expression levels underwent significant elevation in breast cancer. The function of NUDCD1 within breast cancer might be associated with the PI3K/AKT/mTOR signaling pathway.

Regulation of Epithelial and Endothelial Barriers by Molecular Chaperones

The integrity and permeability of epithelial and endothelial barriers depend on the formation of tight junctions, adherens junctions, and a junction-associated cytoskeleton. The establishment of this junction-cytoskeletal module relies on the correct folding and oligomerization of its protein components. Molecular chaperones are known regulators of protein folding and complex formation in different cellular compartments. Mammalian cells possess an elaborate chaperone network consisting of several hundred chaperones and co-chaperones. Only a small part of this network has been linked, however, to the regulation of intercellular adhesions, and the systematic analysis of chaperone functions at epithelial and endothelial barriers is lacking. This review describes the functions and mechanisms of the chaperone-assisted regulation of intercellular junctions. The major focus of this review is on heat shock protein chaperones, their co-chaperones, and chaperonins since these molecules are the focus of the majority of the articles published on the chaperone-mediated control of tissue barriers. This review discusses the roles of chaperones in the regulation of the steady-state integrity of epithelial and vascular barriers as well as the disruption of these barriers by pathogenic factors and extracellular stressors. Since cytoskeletal coupling is essential for junctional integrity and remodeling, chaperone-assisted assembly of the actomyosin cytoskeleton is also discussed.

Identifying the role of NUDCD1 in human tumors from clinical and molecular mechanisms: a study based on comprehensive bioinformatics and experimental validation

NUDCD1 (NudC domain-containing 1) is abnormally activated in multiple tumors and has been identified as a cancer antigen. But there is still no pan-cancer analysis available for NUDCD1 in human cancers. The role of NUDCD1 across multiple tumors was explored using data from the public databases including HPA, TCGA, GEO, GTEx, TIMER2, TISIDB, UALCAN, GEPIA2, cBioPortal, GSCA and so on. Molecular experiments (e.g., quantitative real-time PCR, immunohistochemistry and western blot) were conducted to validate the expression and biological function of NUDCD1 in STAD. Results showed that NUDCD1 was highly expressed in most tumors and its levels were associated with the prognosis. Multiple genetic and epigenetic features of NUDCD1 exist in different cancers. NUDCD1 was associated with expression levels of recognized immune checkpoints (anti-CTLA-4) and immune infiltrates (e.g., CD4+ and CD8+ T cells) in some cancers. Moreover, NUDCD1 correlated with the CTRP and GDSC drug sensitivity and acted as a link between chemicals and cancers. Importantly, NUDCD1-related genes were enriched in several tumors (e.g., COAD, STAD and ESCA) and affected apoptosis, cell cycle and DNA damage cancer-related pathways. Furthermore, expression, mutation and copy number variations for the gene sets were also associated with prognosis. At last, the overexpression and contribution of NUDCD1 in STAD were experimentally validated in vitro and in vivo. NUDCD1 was involved in diverse biological processes and it influenced the occurrence and development of cancers. This first pan-cancer analysis for NUDCD1 provides a comprehensive understanding about its roles across various cancer types, especially in STAD.

HDAC7 inhibits cell proliferation via NudCD1/GGH axis in triple-negative breast cancer

Triple-negative breast cancer (TNBC) is the most malignant subtype of breast cancer. In the absence of effective molecular markers for TNBC, there is an urgent clinical need for promising therapeutic target for TNBC. Histone deacetylases (HDACs), key regulators for chromatin remodeling and gene expression, have been suggested to play critical roles in cancer development. However, little is known ~the functions and implications of HDACs in TNBC treatment in the future. By analyzing the expression and prognostic significance of HDAC family members in TNBC through TCGA and METABRIC databases, HDAC7 was found to be downregulated in TNBC samples and the survival of patients with lower expression of HDAC7 was shorter. Furthermore, HDAC7 was negatively associated with NudC domain containing 1 (NudCD1) and γ-glutamyl hydrolase (GGH). Loss of NudCD1 or GGH predicted improved overall survival time (OS) of patients with TNBC. In vitro experiments showed that silencing of HDAC7 enhanced TNBC cell proliferation, while overexpression HDAC7 inhibited TNBC cell proliferation. The results of functional experiments confirmed that HDAC7 negatively modulated GGH and NudCD1 expression. Furthermore, decrease of NudCD1 or GGH inhibited cell proliferation. Notably, the HDAC7-NudCD1/GGH axis was found to be associated with NK cell infiltration. Overall, the present study revealed a novel role of HDAC7-NudCD1/GGH axis in TNBC, which might provide a promising treatment strategy for patients with TNBC.

Predicting embryonic aneuploidy rate in IVF patients using whole-exome sequencing

Infertility is a major reproductive health issue that affects about 12% of women of reproductive age in the United States. Aneuploidy in eggs accounts for a significant proportion of early miscarriage and in vitro fertilization failure. Recent studies have shown that genetic variants in several genes affect chromosome segregation fidelity and predispose women to a higher incidence of egg aneuploidy. However, the exact genetic causes of aneuploid egg production remain unclear, making it difficult to diagnose infertility based on individual genetic variants in mother's genome. In this study, we evaluated machine learning-based classifiers for predicting the embryonic aneuploidy risk in female IVF patients using whole-exome sequencing data. Using two exome datasets, we obtained an area under the receiver operating curve of 0.77 and 0.68, respectively. High precision could be traded off for high specificity in classifying patients by selecting different prediction score cutoffs. For example, a strict prediction score cutoff of 0.7 identified 29% of patients as high-risk with 94% precision. In addition, we identified MCM5, FGGY, and DDX60L as potential aneuploidy risk genes that contribute the most to the predictive power of the model. These candidate genes and their molecular interaction partners are enriched for meiotic-related gene ontology categories and pathways, such as microtubule organizing center and DNA recombination. In summary, we demonstrate that sequencing data can be mined to predict patients' aneuploidy risk thus improving clinical diagnosis. The candidate genes and pathways we identified are promising targets for future aneuploidy studies.

NudCD1 as a prognostic marker in colorectal cancer and its role in the upregulation of cellular spindle assembly checkpoint genes and LIS1 pathways

Objective

To investigate the role of NudCD1 in spindle assembly checkpoint regulation and in the prognosis of colorectal cancer. 

Methods

Immunohistochemical staining was used to detect in situ expression of NudCD1 in 100 colorectal cancer tissue samples. A chi-square test was used to analyse the correlation between the NudCD1 protein expression level of the cancer tissues and clinicopathological features. The Kaplan–Meier survival analysis was used to assess the correlation between the NudCD1 mRNA expression and the three-year survival of patients with colorectal cancer. The impact of NudCD1 on the development of colorectal cancer and the underlying molecular mechanisms were assessed by flow cytometry cell cycle and apoptosis assays after lentiviral overexpression of NudCD1 in two colorectal cancer cell lines. Quantitative real-time PCR was used to assess mRNA expression of the cellular spindle assembly checkpoint genes BUB1, BUBR1, MAD1, CDC20 and MPS1, as well as the downstream genes LIS1, DYNC1H1, and DYNLL1 in the NudC/LIS1/dynein pathway.

Results

Compared with normal intestinal tissue (8.00% with high expression), the expression of NudCD1 protein in colorectal cancer tissue was significantly higher (58.00% with high expression, P < 0.01). In addition, expression of NudCD1 significantly correlated with the degree of tumour differentiation and the TNM staging (P < 0.01), as well as the depth of invasion of the primary tumour and lymph node metastasis (P < 0.05). However, there was no correlation with gender, age, tumour site, gross type, tumour size or distant metastasis. The Kaplan–Meier survival analysis showed that patients with high NudCD1 expression in colorectal cancer tissues had a significantly shorter survival time than those with low expression of NudCD1 (P < 0.01). Compared with the transfection of the empty vector, colon cancer HT-29 cells with overexpressed NudCD1 had significantly increased mRNA levels of BUBR1, MPS1 and LIS1. The DNA synthesis phase (S phase) was significantly shorter in cells overexpressing NudCD1 than in the control group (43.83% ± 1.57%, P < 0.05), while there was no difference in apoptosis in the two groups.

Conclusion

NudCD1 can serve as a valuable prognostic marker for colorectal cancer. It may be involved in the regulation of spindle-assembly checkpoint-gene expression and the LIS1 pathway of colorectal cancer cells.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-10041-4.

miR-144 inhibits the IGF1R-ERK1/2 signaling pathway via NUDCD1 to suppress the proliferation and metastasis of colorectal cancer cells: a study based on bioinformatics and in vitro and in vivo verification

PURPOSE

Colorectal cancer (CRC) is a severe health condition characterized by high mortalities. NudC domain containing 1 (NUDCD1) is abnormally upregulated in multiple tumors and is recognized as a cancer antigen. In CRC, NUDCD1 upregulation accelerates tumor progression by activating the IGF1R-ERK1/2 signaling pathway. Its specific regulatory mechanisms, however, remain unclear.

METHODS

In the present study, we predicted the regulators of NUDCD1 and analyzed the expression profile of NUDCD1 in CRC tissues using the gene chip dataset. We also determined the regulation between miR-144, NUDCD1 and IGF1R-ERK1/2 signaling in vitro and in vivo. Then, the expression of miR-144 in CRC tissues was detected and its cell functions were verified in vitro.

RESULTS

As predicted by bioinformatics, we found that NUDCD1 is a predicted target of miR-144 and confirmed that miR-144 directly binds to NUDCD1. In vitro and in vivo, miR-144 was determined to specifically regulate NUDCD1 expression and as such, can reduce the activity of the IGF1R-ERK1/2 signaling pathway. Moreover, miR-144 was significantly downregulated in CRC tissues; its levels were significantly negatively correlated with CRC primary range and lymph node metastasis. Cell function studies verified that miR-144 acts as a tumor suppressor, because it significantly inhibits the proliferation, metastasis, and invasion of CRC cells as well as inducing cell cycle arrest and apoptosis.

CONCLUSIONS

Our study demonstrates that miR-144 regulates IGF1R-ERK1/2 signaling via NUDCD1 to inhibit CRC cell proliferation and metastasis. The miR-144/NUDCD1/IGF1R-ERK1/2 signaling axis may be crucial in the progression of CRC.

Quantifying the contribution of transcription factor activity, mutations and microRNAs to CD274 expression in cancer patients

Immune checkpoint inhibitors targeting the programmed cell death protein 1 (PD-1)/programmed cell death protein ligand 1 (PD-L1) axis have been remarkably successful in inducing tumor remissions in several human cancers, yet a substantial number of patients do not respond to treatment. Because this may be partially due to the mechanisms giving rise to high PD-L1 expression within a patient, it is highly relevant to fully understand these mechanisms. In this study, we conduct a bioinformatic analysis to quantify the relative importance of transcription factor (TF) activity, microRNAs (miRNAs) and mutations in determining PD-L1 (CD274) expression at mRNA level based on data from the Cancer Genome Atlas. To predict individual CD274 levels based on TF activity, we developed multiple linear regression models by taking the expression of target genes of the TFs known to directly target PD-L1 as independent variables. This analysis showed that IRF1, STAT1, NFKB and BRD4 are the most important regulators of CD274 expression, explaining its mRNA levels in 90–98% of the patients. Because the remaining patients had high CD274 levels independent of these TFs, we next investigated whether mutations associated with increased CD274 mRNA levels, and low levels of miRNAs associated with negative regulation of CD274 expression could cause high CD274 levels in these patients. We found that mutations or miRNAs offered an explanation for high CD274 levels in 81–100% of the underpredicted patients. Thus, CD274 expression is largely explained by TF activity, and the remaining unexplained cases can largely be explained by mutations or low miRNA abundance.

LncRNA Opa interacting protein 5-antisense RNA 1 (OIP5-AS1) promotes the migration, invasion and epithelial-mesenchymal transition (EMT) through targeting miR-147a/insulin-like growth factor 1 receptor (IGF1R) pathway in cervical cancer tissues and cell model

BACKGROUND

Two factors involved in regulation, long noncoding RNA Opa interacting protein 5-antisense RNA 1 (lncRNA OIP5-AS1) and microRNA-147a, were found in cervical cancer. Therefore, the investigation of the specific regulation of miR-147a by OIP5-AS1 was performed in cervical cancer.

METHOD

The cervical cancer tissues were collected from patients with cervical cancer (n = 50). The expression of OIP5-AS1, miR-147a, proteins in epithelial-mesenchymal transition (EMT) process and insulin-like growth factor 1 receptor (IGF1R) were measured by quantitative real-time polymerase chain reaction (qRT-PCT) or western blotting. Cell motility and the relationship between OIP5-AS1 and miR-147a were detected or analyzed by wound healing test, Transwell assay, dual-luciferase reporter assay, RNA binding protein immunoprecipitation assay or Pearson correlation in OIP5-AS1, or miR-147a over-expressed and/or suppressed cervical cancer cells.

RESULTS

OIP5-AS1 showed the high-expression and miR-147a showed the low-expression in tumor tissues collected from patients with cervical cancer and cell lines Hela, CaSki, Siha, and ME-180. The low-expression of OIP5-AS1 suppressed the motility of Caski cells, as well as up-regulated the level of E-cadherin, which a key protein in EMT. There were targeting sites between miR-147a and OIP5-AS1. OIP5-AS1 induced the down-regulation of miR-147a, so miR-147a was inversely correlated with OIP5-AS1. The down-regulation of miR-147a increased IGF1R and E-cadherin, and these increases were alleviated by OIP5-AS1 knockdown.

CONCLUSION

LncRNA OIP5-AS1 promotes the migration, invasion and EMT of cervical cancer cells via targeting miR-147a/IGF1R pathway.

Construction of a MicroRNA-mRNA Network Underlying Decidualized Endometriotic Cyst Stromal Cells Using Bioinformatics Analysis

Background

Decidualization of ectopic endometrium often leads to the extensive proliferation of local tissue and is easily misdiagnosed as malignant tumors. The study is aimed at constructing a microRNA- (miRNA-) mRNA network underlying decidualized endometriotic cyst stromal cells (ECSCs).

Methods

All data were collected from the Gene Expression Omnibus (GEO) database. Firstly, the differentially expressed genes (DEGs, adj. P-Val < 0.05, | log FC | ≥1) and miRNAs (DEMs, P-Val < 0.05, ∣log FC | ≥1) were analyzed by the limma package. Secondly, we predicted the target genes (TGs) of these DEMs through the TargetScan, miRDB, and miRTarBase databases. The overlapping genes between DEGs and TGs were screened out. Thirdly, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) enrichment analyses of the overlapping genes were performed for integrated discovery, visualization, and annotation. Then, the protein-protein interaction (PPI) network of the overlapping genes was conducted by the STRING database. Finally, we combined the PPI network and the miRNA-mRNA pairs to build a miRNA-mRNA network.

Results

There are 29 DEMs and 523 DEGs. Fourteen overlapping genes were screened out, and these genes were significantly enriched in metabolism and immunity. What is more, a miRNA-mRNA network, including 14 mRNAs and 9 miRNAs, was successfully constructed.

Conclusions

Taken together, the miRNA-mRNA regulatory networks described in this study may provide new insights in the decidualization of ECSCs, suggesting further investigations in novel pathogenic mechanisms.