ZNF-281 as the Potential Diagnostic Marker of Oral Squamous Cell Carcinoma

Identification and validation of the role of ZNF281 in 5-fluorouracil chemotherapy of gastric cancer

BACKGROUND

The early diagnosis of gastric cancer (GC) and overcoming chemotherapy resistance is challenging. The aberrant expression of zinc finger protein 281 (ZNF281) and the over-activation of the Wnt/β-catenin pathway are oncogenic factors and confer tumor chemoresistance. ZNF281 modulates the Wnt/β-catenin pathway to influence malignant tumor behavior. However, the role of ZNF281 in GC chemotherapy and the relationship with the Wnt/β-catenin pathway have not been elucidated by researchers.

METHODS

We explored differences in ZNF281 expression in Pan-cancer and normal tissues, the effect of its expression on prognosis of patients treated with 5-fluorouracil (5-FU). Cox regression was utilized to determine whether ZNF281 is an independent prognostic factor. Enrichment analysis was performed to explore the mechanism underlying ZNF281's role in 5-FU treatment. We assessed the relationship between ZNF281 and the tumour microenvironment (TME) and combined bulk-RNA and single-cell RNA data to analyse the relationship between ZNF281 and immune infiltration. In vitro experiments verified the effects of ZNF281 knockdown on proliferation, invasion, migration, apoptosis, DNA damage of GC cells with 5-FU treated and the Wnt/β-catenin pathway proteins.

RESULTS

ZNF281 was highly expressed in seven cancers and correlates with the prognosis. It is an independent prognostic factor in 5-FU treatment. ZNF281 correlates with TME score, CD8T cell abundance. ZNF281 is primarily associated with DNA repair and the Wnt/β-catenin pathway. ZNF281 knockdown enhanced the effect of 5-FU on phenotypes of GC cells.

CONCLUSION

We identified and verified ZNF281 as one of the potential influencing factors of 5-FU treatment in GC and may be associated with the Wnt/β-catenin pathway. Low ZNF281 may contribute to improved 5-FU sensitivity in GC patients.

The crosstalk between glucose metabolism and telomerase regulation in cancer

Accumulated alterations in metabolic control provide energy and anabolic demands for enhanced cancer cell proliferation. Exemplified by the Warburg effect, changes in glucose metabolism during cancer progression are widely recognized as a characteristic of metabolic disorders. Since telomerases are a vital factor in maintaining DNA integrity and stability, any damage threatening telomerases could have a severe impact on DNA and, subsequently, whole-cell homeostasis. However, it remains unclear whether the regulation of glucose metabolism in cancer is connected to the regulation of telomerase. In this review, we present the latest insights into the crosstalk between telomerase function and glucose metabolism in cancer cells. However, at this moment this subject is not well investigated that the association is mostly indirectly regulations and few explicit regulating pathways were identified between telomerase and glucose metabolism. Therefore, the information presented in this review can provide a scientific basis for further research on the detail mechanism and the clinical application of cancer therapy, which could be valuable in improving the effectiveness of chemotherapy.

Thymoquinone potentiates anti-cancer effects of cisplatin in oral squamous cell carcinoma via targeting oxidative stress

Recent evidence has proved that thymoquinone as a natural polyphenol has great anticancer and anti-proliferative effects in cancer cells. In this study, we aimed to examine the effects of thymoquinone on increasing cisplatin-induced apoptosis human oral squamous cell carcinoma cells and its underlying molecular mechanisms. SCC-25 cancer cells treated by thymoquinone and cisplatin with different concentrations. Cell viability will determine by using MTT assay. The concentrations of reactive oxygen species (ROS) and antioxidant activities were determined using specific related kits. DNA damage, lipid, and protein oxidation were assessed. Real-time PCR and Western blot analysis will be used to determine the expression of apoptosis-related proteins including Bax, Bcl-2, and caspase-3. Combination of thymoquinone and cisplatin suppressed synergistically SCC-25 cancer cell viability and induced apoptosis in dose-depended manner. Cell treatment with combination of thymoquinone and cisplatin led to accumulation of ROS within cells and increase in the intracellular levels of DNA damage, protein and lipid peroxidation. In addition, the combination of thymoquinone and cisplatin modulated the mRNA and protein expression levels of apoptosis-related proteins including Bax, Bcl-2, and caspase-3. Thymoquinone potentiated cisplatin anti-cancer effect on OSCC by inducing oxidative stress in cells.

Expression of ZNF281 in colorectal cancer correlates with response to radiotherapy and survival

BACKGROUND

The treatment of Colorectal cancer (CRC) is extremely complex and survival rates vary depending on the stage of the disease at the time of diagnosis. Neoadjuvant chemoradiotherapy (NACRT), is the conventional treatment for locally advanced rectal cancer (LARC); however, the resistance to chemoradiotherapy in LARC is difficult to predict.

MATERIALS AND METHODS

In this study, clinical data of 126 LARC patients were collected and analyzed, and relevant validation was performed using GEO database and in vitro and in vivo experiments, including Western blotting and Real-time quantitative PCR, immunohistochemistry, immunofluorescence, clonogenic cell survival assays, and nude-mouse xenograft models.

RESULTS

In patients with LARC who were treated with neoadjuvant radiotherapy (NART), higher ZNF281 expression in malignant tissue was associated with a poorer prognosis and lesser degree of tumor regression. Cell and mouse experiments have shown that ZNF281 reduces the damage caused by X-rays to CRC cells and tumors grown in mice.

CONCLUSION

We found that the expression of ZNF281 predicted the radiation response of CRC cells and suggested the prognosis of patients with LARC who received neoadjuvant radiation therapy.

The role of zinc finger proteins in malignant tumors

Zinc finger proteins (ZNFs) are the largest family of transcriptional factors in mammalian cells. Recently, their role in the development, progression, and metastasis of malignant tumors via regulating gene transcription and translation processes has become evident. Besides, their possible involvement in drug resistance has also been found, indicating that ZNFs have the potential to become new biological markers and therapeutic targets. In this review, we summarize the oncogenic and suppressive roles of various ZNFs in malignant tumors, including lung, breast, liver, gastric, colorectal, pancreatic, and other cancers, highlighting their role as prognostic markers, and hopefully provide new ideas for the treatment of malignant tumors in the future.

Comprehensive analysis of ZNF family genes in prognosis, immunity, and treatment of esophageal cancer

BACKGROUND

As a common malignant tumor, esophageal carcinoma (ESCA) has a low early diagnosis rate and poor prognosis. This study aimed to construct the prognostic features composed of ZNF family genes to effectively predict the prognosis of ESCA patients.

METHODS

The mRNA expression matrix and clinical data were downloaded from TCGA and GEO database. Using univariate Cox analysis, lasso regression and multivariate Cox analysis, we screened six prognosis-related ZNF family genes to construct the prognostic model. We then used Kaplan-Meier plot, time-dependent receiver operating characteristic (ROC), multivariable Cox regression analysis of clinical information, and nomogram to evaluate the prognostic value within and across sets, separately and combined. We also validated the prognostic value of the six-gene signature using GSE53624 dataset. The different immune status was observed in the single sample Gene Set Enrichment Analysis (ssGSEA). Finally, real-time quantitative PCR was used to detect the expression of six prognostic ZNF genes in twelve pairs of ESCA and adjacent normal tissues.

RESULTS

A six prognosis-related ZNF family genes model consisted of ZNF91, ZNF586, ZNF502, ZNF865, ZNF106 and ZNF225 was identified. Multivariable Cox regression analysis revealed that six prognosis-related ZNF family genes were independent prognostic factors for overall survival of ESCA patients in TCGA and GSE53624. Further, a prognostic nomogram including the riskScore, age, gender, T, stage was constructed, and TCGA/GSE53624-based calibration plots indicated its excellent predictive performance. Drug Sensitivity and ssGSEA analysis showed that the six genes model was closely related to immune cells infiltration and could be used as a potential predictor of chemotherapy sensitivity.

CONCLUSION

We identified six prognosis-related ZNF family genes model of ESCA, which provide evidence for individualized prevention and treatment.

Inhibition of the transcription factor ZNF281 by SUFU to suppress tumor cell migration

Although the Hedgehog (Hh) pathway plays an evolutionarily conserved role from Drosophila to mammals, some divergences also exist. Loss of Sufu, an important component of the Hh pathway, does not lead to an obvious developmental defect in Drosophila. However, in mammals, loss of SUFU results in serious disorder, even various cancers. This divergence suggests that SUFU plays additional roles in mammalian cells, besides regulating the Hh pathway. Here, we identify that the transcription factor ZNF281 is a novel binding partner of SUFU. Intriguingly, the Drosophila genome does not encode any homologs of ZNF281. SUFU is able to suppress ZNF281-induced tumor cell migration and DNA damage repair by inhibiting ZNF281 activity. Mechanistically, SUFU binds ZNF281 to mask the nuclear localization signal of ZNF281, culminating in ZNF281 cytoplasmic retention. In addition, SUFU also hampers the interactions between ZNF281 and promoters of target genes. Finally, we show that SUFU is able to inhibit ZNF281-induced tumor cell migration using an in vivo model. Taken together, these results uncover a Hh-independent mechanism of SUFU exerting the anti-tumor role, in which SUFU suppresses tumor cell migration through antagonizing ZNF281. Therefore, this study provides a possible explanation for the functional divergence of SUFU in mammals and Drosophila.

VISTA H-Score Is Significantly Associated with a 5-Year DFS Rate in Oral Squamous Cell Carcinoma

Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer in the world. Despite its prevalence, it is often recognized in advanced stages (III or IV) when it has already spread to local lymph nodes. In this study, we investigate the V-domain Ig suppressor of T cell activation (VISTA) as a potential prognostic factor in OSCC. Tissue samples were collected from 71 oral squamous cell carcinoma patients to determine protein expression levels (using immunochemistry and the semi-quantitative H-score method). Moreover, RT-qPCR was additionally performed in 35 patients. Clinical factors in our cohort study had no impact on VISTA expression. However, VISTA expression is largely correlated with Il-33 levels in tumor cells and lymphocytes and with PD-L1 in tumor cells. The impact of VISTA expression on overall survival (OS) is rather limited, but in the case of a 5-year survival rate, a significant association has been proven. VISTA seems to be a rather weak clinicopathological marker but needs further evaluation in the context of survival. In addition, the potential of VISTA combination with Il-33 or PD-L1 should be further investigated in OSCC.

ZNF281 drives hepatocyte senescence in alcoholic liver disease by reducing HK2-stabilized PINK1/Parkin-mediated mitophagy

We investigated the role of zinc-finger protein 281 (ZNF281), a novel molecule, in ethanol-induced hepatocyte senescence and uncovered the potential mechanism. Real-time PCR, Western blot, immunofluorescence staining, and enzyme-linked immunosorbent assay were performed to explore the role of ZNF281 in hepatocyte senescence. ZNF281 expression was upregulated in both alcohol-fed mice livers and ethanol-treated hepatocytes. Silence of ZNF281 in hepatocytes using siRNA mitigated ethanol-caused decrease in cell viability and increased release of aspartate aminotransferase, alanine transaminase, and lactate dehydrogenase. ZNF281 siRNA reduced senescence-associated β-galactosidase-positive cells under ethanol exposure, abolished cell cycle arrest at G0/G1 phase, and diminished senescence-associated secretory phenotype and proinflammatory cytokines (IL-1β and IL-6) release. At molecular level, ZNF281 deficiency altered the expression profile of senescence-associated proteins including p53, p21, p16, high mobility group AT-hook 1, and phospho-histone H2A.X and telomerase-associated regulatory factors including telomerase reverse transcriptase, telomeric repeat binding factor 1 (TRF1), and TRF2. ZNF281 knockdown promoted hepatocyte recovery from ethanol-induced mitochondrial dysfunction and ROS production, which was correlated with rescuing HK2-PINK1/Parkin signalling-mediated mitophagy. Mechanistically, ZNF281 directly bound to 5'-GGCGGCGGGCGG-3' motif within HK2 promoter region and transcriptionally repressed HK2 expression. Systematic ZNF281 knockdown by adeno-associated virus encoding ZNF281 shRNA protected mice from alcohol feeding-caused hepatocyte injury and senescence. This study provides a novel factor ZNF281 as a driver of hepatocyte senescence during alcoholic liver disease.

Early Diagnosis of Oral Squamous Cell Carcinoma Based on Histopathological Images Using Deep and Hybrid Learning Approaches

Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancer types, which is ranked the seventh most common cancer. As OSCC is a histological tumor, histopathological images are the gold diagnosis standard. However, such diagnosis takes a long time and high-efficiency human experience due to tumor heterogeneity. Thus, artificial intelligence techniques help doctors and experts to make an accurate diagnosis. This study aimed to achieve satisfactory results for the early diagnosis of OSCC by applying hybrid techniques based on fused features. The first proposed method is based on a hybrid method of CNN models (AlexNet and ResNet-18) and the support vector machine (SVM) algorithm. This method achieved superior results in diagnosing the OSCC data set. The second proposed method is based on the hybrid features extracted by CNN models (AlexNet and ResNet-18) combined with the color, texture, and shape features extracted using the fuzzy color histogram (FCH), discrete wavelet transform (DWT), local binary pattern (LBP), and gray-level co-occurrence matrix (GLCM) algorithms. Because of the high dimensionality of the data set features, the principal component analysis (PCA) algorithm was applied to reduce the dimensionality and send it to the artificial neural network (ANN) algorithm to diagnose it with promising accuracy. All the proposed systems achieved superior results in histological image diagnosis of OSCC, the ANN network based on the hybrid features using AlexNet, DWT, LBP, FCH, and GLCM achieved an accuracy of 99.1%, specificity of 99.61%, sensitivity of 99.5%, precision of 99.71%, and AUC of 99.52%.

A bioinformatics analysis of zinc finger protein family reveals potential oncogenic biomarkers in breast cancer

BACKGROUND

Zinc finger protein family is the largest transcription factor family in the human genome. Studies have shown that the aberrant expression of zinc finger protein (ZNF) had a potential role in tumorigenesis. However, due to the high complexity of the ZNF family genes, the role of the ZNF family genes in breast cancer (BRCA) is still lacking in systematic understanding.

AIM

In the study, we aim to understand the expression profile, prognostic value, immune invasion pattern, tumor microenvironment, epigenetic and pathway relationships, and drug sensitivity of ZNFs using multi-omics data from public databases.

RESULTS

We focused on six members of ZNFs, which were upregulated in a variety of cancers. Notably, ZNF750 and ZNF224 were lower expressed in BRCA, and their expressions were significantly associated with BRCA prognosis. We confirmed the observations obtained by analyzing the clinic-pathological data. Otherwise, the expressions of ZNFs were significantly related to stromal and immune scores, and was significantly different among different immune subtypes in BRCA. Here, we found down-regulated methylation of ZNF217 and ZNF750. The relationship between methylation and survival showed the survival was worse for hypo-methylation of ZNF750 in BRCA, which is consistent with the correlation of high expression of ZNF750 in BRCA with worse survival.

CONCLUSIONS

Collectively, our results provide clues for a better understanding of the characterization of ZNF family genes in BRCA from a multi-omics perspective and show their potential for use as new tumor markers and therapeutic targets.

Early Diagnosis and Diagnostic Delay in Oral Cancer

Oral cancer is a very serious public health problem in many parts of the world, particularly in developing countries, where about two-thirds of incident cases occur [...].

ZNF668: a new diagnostic predictor of kidney renal clear cell carcinoma

The most common pathological subtype of renal carcinoma is RCC, and its development is closely related to immune infiltration. In our study, we investigated the relationship between zinc finger protein 668 and the prognostic risk, clinical characteristics, overall survival and related pathways. We analyzed the association between ZNF668 and immune cell infiltration through the TIMER database. The results showed that the expression of ZNF668 in RCC was higher than that in normal tissues (P < 0.001). The high expression of ZNF668 is clinically relevant, such as tumor stage (P = 0.001) and TNM classification (T: P = 7.37 e-04; N: P = 0.008; M: P < 0.001). Survival analysis showed that patients with high ZNF668 expression had a significantly poor prognosis (P = 0.023). Univariate analysis showed a significant decrease in overall survival in RCC patients with high ZNF668 expression (P = 0.023). Immuno-cell infiltration showed a significant decrease in CD4+ T cell and dendritic cell infiltration in RCC patients with high expression of ZNF668. GO/KEGG analysis showed that multiple pathways were differentially enriched in the high expression pathway of ZNF668, such as complement activation, and estrogen signaling pathway. In conclusion, high ZNF668 expression is a predictor in RCC.