Exploring the therapeutic mechanisms of resveratrol for treating arecoline-induced malignant transformation in oral epithelial cells: insights into hub targets.

BACKGROUND: Betel nut chewing is a significant risk factor for oral cancer due to arecoline, its primary active component. Resveratrol, a non-flavonoid polyphenol, possesses anti-cancer properties. It has been shown to inhibit arecoline-induced oral malignant cells in preliminary experiments but the underlying mechanism remains unclear. This research therefore aimed to explore the potential therapeutic targets of resveratrol in treating arecoline-induced oral cancer. METHODS: Data mining identified common targets and hub targets of resveratrol in arecoline-induced oral cancer. Gene set variation analysis (GSVA) was used to score and validate the expression and clinical significance of these hub targets in head and neck cancer (HNC) tissues. Molecular docking analysis was conducted on the hub targets. The effect of resveratrol intervention on hub targets was verified by experiments. RESULTS: Sixty-one common targets and 15 hub targets were identified. Hub targets were highly expressed in HNC and were associated with unfavorable prognoses. They played a role in HNC metastasis, epithelial-mesenchymal transition, and invasion. Their expression also affected immune cell infiltration and correlated negatively with sensitivity to chemotherapeutic agents such as bleomycin and docetaxel. Experiments demonstrated that resveratrol down-regulated the expression of the hub targets, inhibited their proliferation and invasion, and induced apoptosis. CONCLUSION: Resveratrol inhibits the arecoline-induced malignant phenotype of oral epithelial cells by regulating the expression of some target genes, suggesting that resveratrol may be used not only as an adjuvant treatment for oral cancer, but also as an adjuvant for oral cancer prevention due to its low toxicity and high efficacy. © 2024 Society of Chemical Industry.

Identification of immune-related genes in the prognosis of head and neck cancer using a novel prognostic signature model.

BACKGROUND: Increasing evidence indicates that the immune response plays a critical role in the development of head and neck cancer (HNC). We aimed to develop an immune-related gene signature and evaluate its prognostic value in patients with HNC. METHODS: We retrieved an HNC cohort from The Cancer Genome Atlas database and divided the samples into high-risk and low-risk groups based on the median of the immune and stromal scores. We performed Venn and Cox analyses to identify the immune-related DEGs to use in our prognostic model. We evaluated the correlation between the model and immune-cell infiltration and validated the prognostic value of the model by applying it to 2 external HNC cohorts. RESULTS: We identified 7 DEGs-CCR4, WDFY4, VCAM1, LYZ, VSIG4, XIRP1, and CMKLR1-to use in our prognostic model and validated the model by applying it to 2 external HNC cohorts. We found that risk scores based on the model could reflect the status of the tumor microenvironment and that VSIG4 might be associated with lymph node metastasis in HNC. CONCLUSIONS: We developed a highly accurate immune-related prognostic 7-gene model in HNC predication, indicating that these 7 genes play critical roles in the tumor microenvironment.

MYO1B as a prognostic biomarker and a therapeutic target in Arecoline-associated oral carcinoma.

BACKGROUND: Arecoline, the main component of betel nut, induces malignant transformation of oral cells through complicated unclear mechanisms. Thus, we aimed to screen the key genes involved in Arecoline-induced oral cancer and further verify their expressions and roles. METHODS: This study included a data-mining part, a bioinformatics verification part, and an experimental verification one. First, the key gene related to oral cancer induced by Arecoline was screened. Then, the expression and clinical significance of the key gene in head and neck/oral cancer tissues were verified, and its downstream mechanisms of action were explored. Afterwards, the expression and roles of the key gene were verified by experiments at the histological and cytological levels. RESULTS: MYO1B was identified as the key gene. Overexpression of MYO1B was associated with lymph node metastasis and unfavorable outcomes in oral cancer. MYO1B may be mainly related to metastasis, angiogenesis, hypoxia, and differentiation. A positive correlation between MYO1B and the infiltration of macrophages, B cells, and dendritic cells was presented. MYO1B might have a close relationship with SMAD3, which may be enriched in the Wnt signaling pathway. MYO1B suppression markedly inhibited the proliferation, invasion, and metastasis abilities of both Arecoline-transformed oral cells and oral cancer cells. CONCLUSION: This study revealed MYO1B as a key gene in Arecoline-induced oral tumorigenesis. MYO1B might be a novel prognostic indicator and therapeutic target for oral cancer.

Fisetin, a dietary flavonoid, increases the sensitivity of chemoresistant head and neck carcinoma cells to cisplatin possibly through HSP90AA1/IL-17 pathway.

Cisplatin (DDP) resistance is a bottleneck in the treatment of head and neck cancer (HNC), leading to poor prognosis. Fisetin, a dietary flavonoid, has low toxicity and high antitumor activity with unclear mechanisms. We intended to predict the targets of fisetin for reversing DDP-resistance and further verify their expressions and roles. A network pharmacology approach was applied to explore the target genes. The hub genes were screened out and subjected to molecular docking and experimental verification (in vivo and in vitro). Thirty-two genes common to fisetin and DDP-resistance were screened, including three hub genes, namely HSP90AA1, PPIA, and PTPRS. Molecular docking suggested that fisetin and the candidate proteins could bind tightly. HSP90AA1 was identified as the key gene. Administration of fisetin increased the sensitivity of chemoresistant cells (Cal27/DDP and FaDu/DDP) to DDP, accompanied by the downregulation of HSP90AA1 and IL-17. HSP90AA1 silencing increases the sensitivity of DDP-resistant cells to DDP, which was mediated by IL-17. In summary, fisetin might inhibit the chemoresistance of HNC cells to DDP by targeting the HSP90AA1/IL-17 pathway. Several hub genes might be the targets of fisetin for reversing DDP-resistance in HNC cells and might also serve as prognostic factors and therapeutic targets for HNC.

Fibronectin 1 as a Key Gene in the Genesis and Progression of Cadmium-Related Bladder Cancer.

Exposure to cadmium (Cd), a non-essential heavy metal, leads to the malignant transformation of urothelial cells and promotes bladder cancer (BC) development, but the mechanisms are unclear. Therefore, we aimed to explore the possible molecules associated with Cd-related BC. By analyzing and mining biological big data in public databases, we screened genes associated with the malignant transformation of uroepithelial cells caused by Cd and further screened the key gene associated with BC prognosis from these genes. The possible roles of the key gene in BC progression were then further explored through biological big data analysis and cellular experiments. Data mining yielded a total of 387 malignant transformation-related genes, which were enriched in multiple cancer-related signaling pathways, such as cytokine-cytokine receptor interaction, Toll-like receptor signaling pathway, and Jak-STAT signaling pathway. Further screening identified Fibronectin 1 (FN1) as the key gene. High expression of FN1 was associated with the advanced pathologic stage, T stage, N stage, and M stage and predicted an unfavorable outcome in BC patients. FN1 expression was positively associated with the infiltration of several types of immune cells, particularly tumor-associated macrophages and cancer-associated fibroblasts. Overexpression of FN1 could be detected in Cd-treated urothelial cells and BC cell lines. Interestingly, silencing of FN1 impaired the proliferation and invasive capacity of BC cells. In conclusion, the present study provides new insight into the mechanism of Cd-related BC. FN1 might be a prognostic marker and therapeutic target for BC. Future studies are needed to confirm these results.

SERPINE1 as an Independent Prognostic Marker and Therapeutic Target for Nicotine-Related Oral Carcinoma.

OBJECTIVES: Nicotine is an ingredient of tobacco, and exposure to nicotine increases the risks of various cancers, including oral cancer. Previous studies have focused on the addictive properties of nicotine, but its carcinogenic mechanism has rarely been studied. We aimed to explore the key genes in the process through which nicotine promotes the occurrence and development of oral cancer via data mining and experimental verification. METHODS: This study involved three parts. First, key genes related to nicotine-related oral cancer were screened through data mining; second, the expression and clinical significance of a key gene in oral cancer tissues were verified by bioinformatics. Finally, the expression and clinical significance of the key gene in oral cancer were histologically investigated, and the effects of its expression on cell proliferation, invasion, and drug resistance were cytologically assessed. RESULTS: SERPINE1 was identified as the key gene, which was upregulated in nicotine-treated oral cells and may be an independent prognostic factor for oral cancer. SERPINE1 was enriched in various pathways, such as the tumor necrosis factor and apelin pathways, and was related to the infiltration of macrophages, CD4+T cells, and CD8+T cells. Overexpression of SERPINE1 was associated with N staging and may be involved in hypoxia, angiogenesis, and metastasis. Knockdown of SERPINE1 in oral cancer cells resulted in weakened cell proliferation and invasion ability and increased sensitivity to bleomycin and docetaxel. CONCLUSION: This study revealed SERPINE1 as a key gene for nicotine-related oral cancer, indicating that SERPINE1 may be a novel prognostic indicator and therapeutic target for oral carcinoma.

Exploration of the effect of Celastrol on protein targets in nasopharyngeal carcinoma: Network pharmacology, molecular docking and experimental evaluations.

Background: Celastrol, an important extract of Tripterygium wilfordii, shows strong antitumor activity in a variety of tumors including nasopharyngeal carcinoma (NPC). However, little is known about its targets in NPC. We aimed to screen the key gene targets of Celastrol in the treatment of NPC by means of in silico analyses (including network pharmacology and molecular docking) and experimental evaluations. Methods: The main target genes of Celastrol and the genes related to NPC were obtained by retrieving the relevant biological databases, and the common targets were screened. Protein-protein interaction analysis was used to screen the hub genes. Then, a "compound-target-disease" network model was created and molecular docking was used to predict the binding of Celastrol to the candidate hub proteins. Afterward, the expression changes of the candidate genes under the administration of Celastrol were verified in vitro and in vivo. Results: Sixty genes common to Celastrol and NPC were screened out, which may be related to numerous biological processes such as cell proliferation, apoptosis, and tube development, and enriched in various pathways such as PI3K- Akt, EGFR tyrosine kinase inhibitor resistance, and Apoptosis. The tight binding ability of the candidate hub proteins (TNF, VEGFA, and IL6) to Celastrol was predicted by molecular docking [Docking energy: TNF, -6.08; VEGFA,-6.76; IL6,-6.91(kcal/mol)]. In vitro experiments showed that the expression of TNF and VEGFA decreased while the expression of IL6 increased in NPC cells (CNE2 and HONE1) treated with Celastrol. In vivo experiments suggested that Celastrol significantly reduced the weight and volume of the transplanted tumors in tumor-bearing mice in vivo. The expression of TNF, VEGFA, and IL6 in the transplanted tumor cells could be regulated by using Celastrol, and the expression trends were consistent with the in vitro model. Conclusion: Several gene targets have been filtered out as the core targets of Celastrol in the treatment of NPC, which might be involved in a variety of signaling pathways. Hence, Celastrol may exert its anti-NPC activity through multiple targets and multiple pathways, which will provide new clues for further research. Future experiments are warranted to validate the findings.

SPP1 as a key gene in the lymph node metastasis and a potential predictor of poor prognosis in head and neck carcinoma.

BACKGROUND: Lymph node metastasis (LNM) is an important cause leading to recurrence and development of head and neck carcinoma (HNC), with the precise mechanisms unclear. Thus, we aimed to identify the key genes involved in LNM and further evaluate their expressions and roles. METHODS: A cohort of HNC in the TCGA was analyzed. The study involved three phases (one screening and two validation phases). First, the differentially expressed genes regarding LNM were screened, from which a key gene was identified by a series of data mining approaches. Then, the expressions and roles of the key gene were validated in HNC through bioinformatics. Afterward, the expression of the key gene was detected by qPCR, western blot, and Immunohistochemistry based on a cell model and a tissue microarray. Further, colony formation and transwell migration and invasion assays were used to evaluate the roles of the key gene. RESULTS: SPP1 was overexpressed in HNC tissues and was identified as the key gene. Overexpression of SPP1 in HNC was correlated with advanced pathological stages and T-stage, as well as the presence of LNM, which predicted poor prognosis. The expression of SPP1 was closely associated with the infiltration of immune cells in HNC, especially M2 macrophages. Lab experiments confirmed that SPP1 silence in HNC cells resulted in weakened invasive and metastatic abilities. CONCLUSION: This study reveals that SPP1 may be a key gene associated with LNM in HNC, raising the possibility of SPP1 as a target for HNC prevention and treatment.

Overexpression of KITLG predicts unfavorable clinical outcomes and promotes lymph node metastasis via the JAK/STAT pathway in nasopharyngeal carcinoma.

Lymph node metastasis (LNM) is an early clinical sign and a contributor to the treatment failure in patients with nasopharyngeal carcinoma (NPC). The molecular mechanisms of LNM in NPC remain unclear. We aimed to identify and validate the possible key genes that play a crucial role in the LNM of NPC. The study included a discovery and validation phase. In the discovery phase, the key gene was identified by bioinformatics analysis. In the validation phase, the mRNA and protein expression of the key gene was detected by RT-PCR in NPC cells and by immunohistochemistry in a tissue microarray. Then, the effect of the key gene expression on cell invasion and migration was explored in vitro and in vivo. As a result, KITLG was identified as the key gene. The overexpression of KITLG was detected in NPC cells, which was correlated with neck lymph node metastasis and poor prognosis in patients with NPC. The suppression of KITLG inhibited the proliferation, invasion, and metastasis of NPC cells in vitro and in vivo. JAK/STAT signaling pathway might mediate the enhancement of cell invasion and metastasis caused by KITLG. In summary, the overexpression of KITLG in NPC cells might play a crucial role in the LNM of NPC, raising the possibility of KITLG as a prognostic factor and a potential target for NPC treatment.

Exploration of Potential Targets and Mechanisms of Fisetin in the Treatment of Non-Small-Cell Lung Carcinoma via Network Pharmacology and In Vitro Validation.

Purpose: The morbidity and fatality rates of non-small-cell lung cancer (NSCLC) were high, although a combination of multiple treatments was used. Fisetin, a small flavonoid compound, had shown anticancer activities. Thus, we aimed at exploring the mechanisms of Fisetin in the treatment of NSCLC. Methods: TCMSP and Swiss target tools were used to screen the targets of Fisetin, and GeneCards was used to collect the genes related to NSCLC. The genes common to Fisetin and NSCLC were obtained by Venn analysis, whose possible functions were further annotated. A "Compound-Target-Disease" network was then constructed and hub genes were filtered. Also, molecular docking was performed to predict the binding abilities between Fisetin and the hub genes. Then, the effects of Fisetin on the expression of hub genes in lung adenocarcinoma cells were preliminarily evaluated in vitro. Results: A total of 131 genes common to Fisetin and NSCLC were filtered out, which might be enriched in several biological processes including antioxidation, cell proliferation, and various signaling pathways, such as PI3K-Akt and IL-17 signaling pathways. Among them, PIK3R1, CTNNB1, JUN, EGFR, and APP might be the hub genes. Molecular docking indicated the close bond between Fisetin and them. Experiments implied a possible effect of Fisetin on the expression of hub genes in A549 cells. Conclusion: The present study found a series of novel targets and pathways for Fisetin treating NSCLC. Multiple angles, targets, and pathways were involved in the biological processes, which need to be verified in further experiments.

EPHB2 as a recurrence-related gene and a prognostic indicator in nasopharyngeal carcinoma: A bioinformatics screening and immunohistochemistry verification.

Recurrence and metastasis of nasopharyngeal carcinoma (NPC) after radical treatment is a major bottleneck in clinical treatment. Therefore, we aimed to find the genes related to metastasis after radical treatment in NPC patients. Public datasets in the Gene Expression Omnibus database were consulted and the differential expression genes (DEGs) were screened out. The possible roles of the DEGs were annotated by Gene Ontology, and pathway analysis. The hub genes/proteins were then filtered out through protein-protein interaction network construction. The key genes were sifted out from the hub genes, and their expressions were verified by qPCR and immunohistochemistry assays. A total of 28 DEGs were filtered out, which may be enriched in different signaling pathways. Of these DEGs, 11 hub genes were filtered out, among which EPHB2 was shown to be over-expressed in NPC tissues. Further experimental assays confirmed that EPHB2 was overexpressed in NPC cells, which might be associated with tumor recurrence, neck lymph node metastasis, and advanced clinical stages. Moreover, high EPHB2 expression predicted poor prognosis in NPC patients. EPHB2 might be a novel recurrence-related biomarker and a prognostic factor for NPC. Moreover, it might also be used as a potential treatment target for NPC.

Identification of an immune-related key gene, PPARGC1A, in the development of anaplastic thyroid carcinoma: in-silico study and in-vitro evaluation.

BACKGROUND: Anaplastic thyroid cancer (ATC) is a rare malignant tumor, with short overall survival time and a high mortality rate. To date, there is a lack of effective treatment strategies for this disease. The molecular mechanisms underlying ATC have remained largely unknown. Thus, we aimed to screen the key genes that play a critical role in the genesis and development of ATC. METHODS: Datasets in the Gene Expression Omnibus database were searched and analyzed to obtain the differentially expressed genes (DEGs) between ATC and normal thyroid samples. Then, hub genes were screened out via protein-protein interaction network construction, and the key genes were filtered out from the hub genes. Afterward, the roles of the key genes were further evaluated. RESULTS: A total of 353 up-regulated and 544 down-regulated DEGs were selected, which were enriched in various pathways. Nine hub genes, including CDH1, AQP4, OCLN, SLC4A4, PAX8, DIO1, PPARGC1A, MAL2, and SLC26A4, were screened out. Then, PPARGC1A was identified as the key gene, which was positively correlated with tumor purity but negatively correlated with immune cell infiltration. Moreover, high PPARGC1A expression predicted poor prognosis in thyroid cancer. CONCLUSIONS: An immune-related gene, PPARGC1A, was filtered out as the key gene that might play critical roles in the initiation and progression of ATC. It might affect the prognosis by inhibiting immune cell infiltrations. Future experimental studies are needed to confirm the results.

Enhancement of nanoparticle-mediated double suicide gene expression driven by 'E9-hTERT promoter' switch in dedifferentiated thyroid cancer cells.

Differentiated thyroid cancer (DTC), such as papillary thyroid cancer, has a good prognosis after routine treatment. However, in the course of treatment, 5% to 20% of cases may dedifferentiate and can be transformed into dedifferentiated DTC (deDTC) or anaplastic thyroid cancer, leading to treatment failure. To date, several drugs have been used effectively for dedifferentiated thyroid cancer, whereas gene therapy may be a potential method. Literature reported that double suicide genes driven by human telomerase reverse transcriptase promoter (hTERTp) can specifically express in cancer cells and kill them. However, the weak activity of hTERTp limits its further research. To overcome this weakness, we constructed a novel chitosan nanocarrier containing double suicide genes driven by a 'gene switch' (a cascade of radiation enhancer E9 and a hTERTp). The vector was labeled with iodine-131 (131I). On one hand, E9 can significantly enhance the activity of hTERTp under the weak radiation of 131I, thereby increasing the expression of double suicide genes in deDTC cells. On the other hand, 131I also plays a certain killing role when it enters host cells. The proposed nanocarrier has good specificity for deDTC cells and thus deserves further study.

TXNIP, CXCL1, and AREG as key genes in formaldehyde-induced head and neck carcinoma: an in silico analysis.

BACKGROUND: Reports have shown that formaldehyde (FA) can induce malignant transformation in cells via complicated mechanisms. Therefore, we aimed to investigate the possible molecules, pathways, and therapeutic agents for FA-induced head and neck cancer (HNC) by using bioinformatics approaches. METHODS: High throughput data were analyzed to screen the differentially expressed genes (DEGs) between FA-treated nasal epithelium cells and controls. Then, the functions of the DEGs were annotated and the hub genes, as well as the key genes, were further screened out. Afterwards, potential drugs were predicted by using the connectivity map (CMAP) tool. RESULTS: The information of a microarray-based dataset GSE21477 was extracted and analyzed. A total of 210 upregulated and 83 downregulated DEGs were generated, which might be enriched in various pathways, such as Cytokine-cytokine receptor interaction, Jak-STAT signaling pathway, and Toll-like receptor signaling pathway. Among these DEGs, three hub genes including TXNIP, CXCL1, and AREG, were identified as the key genes because they might affect the prognosis of HNC. Finally, a major active ingredient of blister beetles, Cantharidin, was predicted to be one of the potential drugs reversing FA-induced malignant transformation in head and neck epithelium cells. CONCLUSION: The present analysis gave us a novel insight into the mechanisms of FA-induced malignant transformation in head and neck epithelium cells, and predicted several small agents for the prevention or treatment of HNC. Future experiment studies are warranted to validate the findings.

The expression and clinical significance of an Epithelial-Mesenchymal Transition inducer, SNAI1, in head and neck carcinoma.

BACKGROUND: SNAI1 is an epithelial-mesenchymal transition (EMT) inducer, which has been indicated to play a role in the progression of cancers. We aimed to evaluate the expression and prognostic roles of SNAI1 in head and neck carcinoma (HNC). METHODS: The study involved two major phases. In the in silico phase, the SNAI1 expression and its association with clinical features as well as its prognostic values were assessed; then, the target genes of SNAI1 were predicted and the relationship between SNAI1 expression and immune cell infiltration was evaluated. In the validation phase, a cohort of a tissue microarray (47 cases) and a cohort of HNC patients (68 cases) were enrolled. SNAI1 was detected by using an immunochemistry assay. RESULTS: The in silico analysis showed that overexpression of SNAI1 in HNC tissues may be correlated with metastatic lymph node numbers and may predict poor outcomes. Six genes, including CREB3L1, MITF, KLF9, RARA, KLF7, and ETV1, were predicted to be the target genes of SNAI1. The expression of SNAI1 was negatively correlated with tumor purity of HNC, while it was positively correlated with the infiltration of diverse immune cells, such as B cells and macrophages. In the validation phase, the relationships of SNAI1 expression with lymph node metastasis and poor prognosis were verified. CONCLUSION: Overexpression of SNAI1 might promote lymph node metastasis through complex molecular mechanisms and act as a prognostic indicator in HNC. SNAI1 expression may have a correlation with immune cell infiltrates. Future studies are needed to address these points.

Construction and analysis of miRNA-mRNA regulatory networks in the radioresistance of nasopharyngeal carcinoma.

Radiotherapy has been the major treatment strategy for nasopharyngeal carcinoma (NPC), while the occurrence of radioresistance may lead to cancer recurrence or progression. This study aimed to identify the key microRNAs (miRNAs) and their target genes in the development of NPC radioresistance. Public microarray data were searched and analyzed to screen the differentially expressed miRNAs (DEMs) and genes (DEGs) between radioresistant and radiosensitive NPC samples. MiRNA-mRNA networks were constructed. As a result, 5 DEMs and 195 DEGs were screened out. The DEGs were enriched in various signaling pathways, such as Cytokine-cytokine receptor interaction, Jak-STAT signaling pathway, and Toll-like receptor signaling pathway. Several hub genes, such as IGF2, OLA1, BBS10, MMP9, and BBS7 were identified. A regulatory miRNA-mRNA network containing 87 miRNA-mRNA pairs was constructed. Then, 14 key miRNA-mRNA pairs that contained the hub genes were further filtered out. In the networks, miR-203a-3p had the largest number of target genes. Afterwards, the candidate pairs (miR-203a-3p/BTK and miR-484/OLA1) have been verified by a qRT-PCR assay. In summary, we identified several miRNAs and hub genes via big data screening. A total of 87 miRNA-mRNA pairs (including 14 key pairs) were predicted to play a crucial role in the development of NPC radioresistance. These data provide a bioinformatics basis for further exploring the molecular mechanism of radiotherapy resistance in NPC. Future studies are needed to validate the results.

Screening of hub genes and prediction of putative drugs in arsenic-related bladder carcinoma: An in silico study.

BACKGROUND: Evidence showed that inorganic arsenic (iAs) can trigger malignant transformation in cells with complex mechanisms. Thus, we aimed to investigate the possible molecules, pathways and therapeutic drugs for iAs-induced bladder cancer (BC) by using bioinformatics approaches. METHODS: Microarray-based data were analyzed to screen the differentially expressed genes (DEGs) between iAs-related BC cells and controls. Then, the roles of DEGs were annotated and the hub genes were screened out by protein-protein interaction network. The key genes were further selected from the hub genes through an assessment of the prognostic values. Afterward, potential drugs were predicted by using CMAP analysis. RESULTS: Analysis of a dataset (GSE90023) generated 21 upregulated and 47 downregulated DEGs, which were enriched in various signaling pathways. Among the DEGs, four hub genes including WNT7B, SFRP1, DNAJB2, and ATF3, were identified as the key genes because they might predict poor prognosis in BC patients. Lastly, Cantharidin was predicted to be a potential drug reversing iAs-induced malignant transformation in urinary epithelium cells. CONCLUSION: The present study found several hub genes involved in iAs-induced malignant transformation in urinary epithelium cells, and predicted several small agents for iAs toxicity prevention or therapy.

IGFBP3 as an indicator of lymph node metastasis and unfavorable prognosis for papillary thyroid carcinoma.

Lymph node metastasis (LNM) is a usual event in papillary thyroid carcinoma (PTC) patients, which usually leads to poor prognosis. However, the molecular mechanisms of LNM remain unclear. Thus, we aimed to screen the possible key genes in the progression of LNM in PTC patients and further validate their roles. The study involved two phases: a discovery phase and a validation one. In the former phase, the candidate genes were screened by using bioinformatics methods. In the latter one, the genes were firstly assessed in a cohort from the cancer genome atlas (TCGA) to evaluate the associations of their expressions with clinical features and the prognostic values, and then, they were assessed at protein levels by using an immunohistochemical assay. Consequently, IGHBP3 was selected as the candidate gene, which might be enriched in several metabolism-related pathways and cancer progression-related pathways. High expressions of IGHBP3 have an association with gender, advanced clinical stages, high T stages, and the presence of LNM. Survival analysis indicated that IGHBP3 may affect the prognosis of PTC patients. The use of a tissue chip confirmed the view that IGHBP3 might play a crucial role in the LNM of PTC. In conclusion, IGHBP3 might be involved in the development of LNM in PTC patients. IGHBP3 over-expression might be a novel indicator and a potential target for PTC therapy.

Identification of a novel microRNA profile including miR-106b, miR-17, miR-20b, miR-18a and miR-93 in the metastasis of nasopharyngeal carcinoma.

BACKGROUND: Metastasis often leads to poor prognosis in nasopharyngeal carcinoma (NPC) patients. Evidence has indicated the important roles of microRNA (miRNA) in cancer metastasis. The aim of this study was to identify and verify the key miRNAs that might be involved in the development of NPC metastasis. METHODS: Microarray data were obtained and analyzed to screen the differentially expressed miRNAs (DEMs) between NPC tissues with metastasis and those without metastasis. The target genes of the DEMs were predicted and their functions were annotated. Then, candidate hub genes were screened out through protein-protein interaction analysis, and the key miRNAs were identified. Afterwards, the expression levels of the key miRNAs were assessed by qRT-PCR based on an in vitro model. RESULTS: A total of 22 DEMs were screened out, and 616 target genes were predicted. Gene Ontology (GO) and pathway enrichment analysis showed that the target genes may be enriched in a diversity of GO terms and signaling pathways. Among them, eleven hub genes were identified, such as PTEN, KAT2B, CCND1, STAT3, and MAP3K5. Moreover, a five-miRNA profile (miR-106b, miR-17, miR-20b, miR-18a and miR-93) was identified and their expression levels were tested to be up-regulated in high-metastatic NPC cells relative to low-metastatic ones. CONCLUSION: The present study revealed that five miRNAs (miR-106b, miR-17, miR-20b, miR-18a and miR-93) and several hub genes such as PTEN, KAT2B, CCND1, STAT3, and MAP3K5, might play critical roles in the development of NPC metastasis. Future investigations are needed to confirm the results.

Immune-related key gene CLDN10 correlates with lymph node metastasis but predicts favorable prognosis in papillary thyroid carcinoma.

The functions of immune cells in lymph node metastasis (LNM) have attracted considerable attention. This study aimed to screen the key immune-related and LNM-related genes in PTC. In the discovery phase, the immune-related genes in LNM were screened by using bioinformatics methods. In the validation phases, the association of the genes with LNM was first confirmed in a cohort from The Cancer Genome Atlas and a cohort based on a tissue chip. Then, the relationship of the genes with immune cell infiltration was further explored. Consequently, CLDN10 was identified, and its high expression was correlated with the presence of LNM in PTC but predicted a favorable prognosis. High CLDN10 expression was positively correlated with the infiltration of several immune cells, such as B cells, CD8+T cells, and macrophages. High CLDN10 expression may improve the outcomes of patients with PTC by increasing immune cell infiltration, although it might be associated with LNM. In conclusion, although CLDN1 might be correlated with LNM, it may also increase the infiltration of immune cells, including CD8+T cells and macrophages, and improve the clinical outcomes of patients with PTC. The effects of tumor purity and immune cell infiltration need to be considered in prognosis evaluation.