Up-Regulated CCDC34 Contributes to the Proliferation and Metastasis of Hepatocellular Carcinoma

A novel missense mutation of CCDC34 causes male infertility with oligoasthenoteratozoospermia in a consanguineous Pakistani family

ABSTRACT

Male infertility is a worldwide health issue, affecting 8%-12% of the global population. Oligoasthenoteratozoospermia (OAT) represents a severe type of male infertility, characterized by reduced sperm count and motility and an increased frequency of sperm with aberrant morphology. Using whole-exome sequencing, this study identified a novel missense mutation (c.848C>A, p.A283E) in the coiled-coil domain-containing 34 gene (CCDC34) in a consanguineous Pakistani family. This rare mutation was predicted to be deleterious and to affect the protein stability. Hematoxylin and eosin staining of spermatozoa from the patient with OAT revealed multiple morphological abnormalities of the flagella and transmission electron microscopy indicated axonemal ultrastructural defects with a lack of outer dynein arms. These findings indicated that CCDC34 plays a role in maintaining the axonemal ultrastructure and the assembly or stability of the outer dynein arms, thus expanding the phenotypic spectrum of CCDC34 missense mutations.

A novel coiled-coil domain containing-related gene signature for predicting prognosis and treatment effect of breast cancer

PURPOSE

Breast cancer (BRCA) is a prevalent tumor worldwide. The association between the coiled-coil domain-containing (CCDC) protein family and different tumors has been established. However, the prognostic significance of this protein family in breast cancer remains uncertain.

METHODS

Gene expression and clinical data were obtained from the TCGA, METABRIC, and GEO databases. Prognosis genes were identified using univariate Cox and LASSO Cox regression, leading to the establishment of a prognostic signature. Subsequently, the risk model was conducted based on survival and clinical feature analyses, and a nomogram for prognosis prediction was developed. Furthermore, analyses of biological function, immune characteristics, and drug sensitivity were performed. Finally, single-cell sequencing data were utilized to uncover the expression patterns of genes in the risk model.

RESULTS

Five genes were identified and utilized for risk modeling. The model demonstrated excellent prognostic value as indicated by ROC and Kaplan-Meier analysis. The high-risk group exhibited shorter survival time and higher likelihood of recurrence. Functional annotation indicated a correlation between the risk score and immune pathways. Conversely, the low-risk group displayed a greater enrichment in immune pathways and exhibited more active immune microenvironment characteristics. Additionally, drug sensitivity analysis using both public and our sequencing data revealed that the risk model possessed a broad range of predictive values.

CONCLUSIONS

We have developed a gene signature and have verified that patients with low-risk are more likely to have better prognosis and respond positively to therapy. This finding offers a valuable point of reference for BRCA individualized treatment.

USP14 Regulates ATF2/PIK3CD Axis to Promote Microvascular Endothelial Cell Proliferation, Migration, and Angiogenesis in Diabetic Retinopathy

Diabetic retinopathy (DR) is one of the leading causes of blindness in diabetic patients. However, the pathogenesis of DR is complex, and no firm conclusions have been drawn so far. It has become a hot spot in ophthalmology research to deeply study the mechanism of DR pathological changes and find effective treatment options. Human retinal microvascular endothelial cells (HRMECs) were induced by high glucose (HG) to construct DR cell model. CCK-8 assay was used to detect the viability of HRMECs. Transwell assay was used to detect the migration ability of HRMECs. Tube formation assay was used to identify the tube formation ability of HRMECs. The expressions of USP14, ATF2 and PIK3CD were detected by Western blot analysis and qRT-PCR assay. Immunoprecipitation (IP) was used to ascertain the relationship of USP14 and ATF2. To explore the regulatory relationship between ATF2 and PIK3CD by dual-luciferase reporter gene assay and Chromatin immunoprecipitation (ChIP) assay. High glucose treatment promoted the proliferation, migration, and tube formation of HRMEC, and the expressions of USP14, ATF2 and PIK3CD were significantly up-regulated. USP14 or ATF2 knockdown inhibited HG-induced HRMECs proliferation, migration, and tube formation. USP14 regulated the expression of ATF2, and ATF2 promoted PIK3CD expression. PIK3CD overexpression attenuated the inhibitory effectiveness of USP14 knockdown on proliferation, migration and tube formation of DR cell model. Here, we revealed that USP14 regulated the ATF2/PIK3CD axis to promote proliferation, migration, and tube formation in HG-induced HRMECs.

MNX1 facilitates the malignant progress of lung adenocarcinoma through transcriptionally upregulating CCDC34

Lung adenocarcinoma (LUAD) represents the most prevalent subtype of lung cancer and typically has high incidence and fatality rates. Motor neuron and pancreas homeobox 1 (MNX1) and coiled-coil domain-containing 34 (CCDC34) serve as oncogenes in multiple types of cancer. However, their role in LUAD remains to be elucidated. In the present study, bioinformatics analysis and LUAD cell lines were adopted to examine the expression of MNX1 and CCDC34. The proliferation, migration and invasion abilities of A549 cells were determined using Cell Counting Kit-8, colony formation, wound-healing and Transwell assay, and flow cytometry was conducted to assess cell cycle distribution and apoptosis. The interaction between MNX1 and CCDC34 was verified by luciferase reporter and chromatin immunoprecipitation assays. In addition, an in vivo animal model of LUAD was established for validation. The results demonstrated that both MNX1 and CCDC34 were upregulated in LUAD cell lines. MNX1 knockdown significantly suppressed cell proliferation, migration and invasion, hindered cell cycle progression and promoted cell apoptosis in vitro and inhibited tumor growth in vivo. However, the antitumor effect of MNX1 knockdown was weakened by simultaneous CCDC34 overexpression in vitro. In terms of mechanism, MNX1 was demonstrated to directly bind to the CCDC34 promoter and transcriptionally activate CCDC34 expression. In conclusion, the present study highlighted a critical role of the MNX1/CCDC34 axis in regulating LUAD progression, providing novel therapeutic targets for LUAD treatment.

T-cell exhaustion signatures characterize the immune landscape and predict HCC prognosis via integrating single-cell RNA-seq and bulk RNA-sequencing

Background

Hepatocellular carcinoma (HCC), the third most prevalent cause of cancer-related death, is a frequent primary liver cancer with a high rate of morbidity and mortality. T-cell depletion (TEX) is a progressive decline in T-cell function due to continuous stimulation of the TCR in the presence of sustained antigen exposure. Numerous studies have shown that TEX plays an essential role in the antitumor immune process and is significantly associated with patient prognosis. Hence, it is important to gain insight into the potential role of T cell depletion in the tumor microenvironment. The purpose of this study was to develop a trustworthy TEX-based signature using single-cell RNA-seq (scRNA-seq) and high-throughput RNA sequencing, opening up new avenues for evaluating the prognosis and immunotherapeutic response of HCC patients.

Methods

The International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA) databases were used to download RNA-seq information for HCC patients. The 10x scRNA-seq. data of HCC were downloaded from GSE166635, and UMAP was used for clustering descending, and subgroup identification. TEX-related genes were identified by gene set variance analysis (GSVA) and weighted gene correlation network analysis (WGCNA). Afterward, we established a prognostic TEX signature using LASSO-Cox analysis. External validation was performed in the ICGC cohort. Immunotherapy response was assessed by the IMvigor210, GSE78220, GSE79671, and GSE91061cohorts. In addition, differences in mutational landscape and chemotherapy sensitivity between different risk groups were investigated. Finally, the differential expression of TEX genes was verified by qRT-PCR.

Result

11 TEX genes were thought to be highly predictive of the prognosis of HCC and substantially related to HCC prognosis. Patients in the low-risk group had a greater overall survival rate than those in the high-risk group, according to multivariate analysis, which also revealed that the model was an independent predictor of HCC. The predictive efficacy of columnar maps created from clinical features and risk scores was strong.

Conclusion

TEX signature and column line plots showed good predictive performance, providing a new perspective for assessing pre-immune efficacy, which will be useful for future precision immuno-oncology studies.

Role of coiled-coil domain containing proteins in development of gastric cancer

Coiled-coil domain containing proteins (CCDCs) are a class of oligomeric proteins consisting of two or more coiled-coil domains. About 40 coiled coil family genes are associated with disease, and they can act as both pro-oncogenes and anti-oncogenes in the pathogenesis of tumors, regulating tumor proliferation, metastasis, angiogenesis, and apoptosis. Therefore, they are closely related to tumor development. This paper reviews the recent progress in the understanding of the role of CCDCs in gastric cancer, and explores their different roles and functions in the development of this malignancy.

RABL2A-CCDC34 Axis Promotes Sorafenib Resistance in Hepatocellular Carcinoma

In this study, we examined the regulatory role of CCDC34 in the sorafenib sensitivity of hepatocellular carcinoma (HCC) and its functional partners. Wide-type Huh7 and Hep3B and induced sorafenib-resistant (SR) Huh7/SR and Hep3B/SR cells were used as in vitro cell models. Immunofluorescent staining and coimmunoprecipitation were performed to check protein-protein interaction. Cell Counting Kit-8 (CCK-8), terminal deoxynucleotidyl transferase-mediated nick end labeling (TUNEL), PI/Annexin V staining, and western blot analysis were performed to assess cell response to sorafenib. The results showed that CCDC34 upregulation in HCC was associated with poor survival. Huh7/SR and Hep3B/SR cells had significantly higher CCDC34 expression than the parental cell lines. RABL2A expression was significantly upregulated in SR HCC cells and interacted with CCDC34 in its GTP-bound state in Huh7/SR and Hep3B/SR cells. RABL2A depletion sensitized Huh7/SR and Hep3B/SR cells to sorafenib. RABL2A Q80L mutant (GTP-bound state locked), but not S35N mutant (GDP-bound state locked) overexpression increased sorafenib IC50 of Huh7 and Hep3B cells. CCDC34 depletion nearly abrogated the protective effects of RABL2A Q80L overexpression both in vitro and in vivo. RABL2A Q80L overexpression significantly increased the expression of p-p38 and p-JNK, the effects of which were significantly attenuated by CCDC34 depletion. In summary, we infer that the RABL2A-CCDC34 axis plays an important role in mediating p38/MAPK and JNK/MAPK signaling, thereby contributing to acquired sorafenib resistance in HCC.

Development and validation of a novel prognostic signature in gastric adenocarcinoma

Competing endogenous RNA networks have attracted increasing attention in gastric adenocarcinoma (GA). The current study aimed to explore ceRNA-based prognostic biomarkers for GA. RNA expression profiles were downloaded from TCGA and GEO databases. A ceRNA network was constructed based on the most relevant modules in the weighted gene coexpression network analysis. Kaplan-Meier (KM) survival analysis revealed prognosis-related RNAs, which were subjected to the multivariate Cox regression analysis. The predictive accuracy and discriminative ability of the signature were determined by KM analyses, receiver operating characteristic curves and area under the curve values. Ultimately, we constructed a ceRNA network consisting of 55 lncRNAs, 17 miRNAs and 73 mRNAs. Survival analyses revealed 3 lncRNAs (LINC01106, FOXD2-AS1, and AC103702.2) and 3 mRNAs (CCDC34, ORC6, and SOX4) as crucial prognostic factors; these factors were then used to construct a survival specific ceRNA network. Patients with high risk scores exhibited significantly worse overall survival than patients with low risk scores, and the AUC for 5-year survival was 0.801. A total of 112 GA specimens and the GSE84437 dataset were used to successfully validate the robustness of our signature by qRT-PCR. In summary, we developed a prognostic signature for GA, that shows better accuracy than the traditional TNM pathological staging system.