The New Role of HNF1A-NAS1/miR-214/INHBA Signaling Axis in Colorectal Cancer.

BACKGROUND: Colorectal cancer (CRC) is the third most common cancer and one of the leading causes of death worldwide. Seriously threatens human life and health. Previous studies have identified that inhibin ßA (INHBA) could induce tumorgenesis and progression of CRC through the regulation of the TGF-ß/Smad signal axis. The abnormal expression of INHBA is related to the poor prognosis of patients. The aim of this study was to identify the molecular mechanism of HNF1A-AS1 and miR-214 regulating INHBA and carcinogenesis through bioinformatics combined with experiments. METHODS: The expression of HNF1A-AS1, miRNA-214-5p, INHBA in pan-cancer and CRC were investigated in the Cancer Genome Atlas (TCGA). The correlation between HNF1A-AS1 and immune-related genes or miRNAs was explored via the Gene Expression Profiling Interactive Analysis (GEPIA) and volcano plots, respectively. The association between HNF1A-AS1 and differentially expressed miRNAs was constructed by TargetScan. The miRDB, miRWalk, and TargetScan databases were utilized to predict the target genes of hsa-miR-214. The expression of INHBA in tissues and cell lines of CRC was examined by RT-qPCR and western blot assay. RESULTS: The INHBA and HNF1A-AS1 expressions were increased in Colon adenocarcinoma (COAD) and Rectum adenocarcinoma (READ) of the TCGA database. Hsa-miR-214 was relatively less expressed in CRC tissues compared with para-cancer tissues. The expression of HNF1A-AS1 was negatively correlated with hsa-miR-214. INHBA was one of the target genes of hsa-miR-214 based on miRDB, miRWalk, and TargetScan databases. The specific binding sites of INHBA-3'UTR and miR-214-5p were identified by starBase. The expression level of INHBA was positively correlated with the T stage of tumor and negatively correlated with overall survival (OS) and disease-free survival (DFS) in CRC patients. The results of RT-qPCR and western blot indicated that the expression of INHBA in tissues and cell lines in CRC was higher than those in para-carcinoma tissues and normal colon cell lines, respectively. CONCLUSIONS: These findings suggested that HNF1A-AS1 and miRNA-214-5p were key upstream non-coding RNAs of INHBA. The HNF1A-AS1/miR-214/INHBA signal axis plays a significant role in the tumorgenesis and progression of CRC. By interfering with HNF1A-AS1 and INHBA genes on HT29 and SW480 cells, it was found that HNF1A-AS1 and INHBA genes may be important target genes in CRC.

Identification of a Ferroptosis Gene Set That Mediates the Prognosis of Squamous Cell Carcinoma of the Head and Neck.

Squamous cell carcinoma of the head and neck (HNSCC) is one of the six most common malignancies. HNSCC has both a high incidence and poor prognosis, and its prognostic factors remain unclear. Ferroptosis is a newly discovered form of programmed cell death that is iron-dependent. Increasing evidence indicates that targeting ferroptosis may present a new form of anti-tumor treatment. However, the prognostic value of ferroptosis-related genes (FRGs) in HNSCC is unclear. This study was designed to identify molecular markers associated with ferroptosis that influence prognosis in patients with HNSCC. We used HNSCC tumor and normal data from The Cancer Genome Atlas (TCGA) to identify prognosis-related FRGs. An FRG-based prognostic risk score was constructed, and its prognostic value for patients with HNSCC was evaluated using receiver operating characteristic curve (ROC) and nomogram analyses. The model was validated using the Gene Expression Omnibus (GEO) database. Univariate Cox regression analysis in patients with HNSCC revealed 11 FRGs that were significantly associated with overall survival (OS). We constructed a ferroptosis risk score model based on five genes and divided the patients into different risk groups based on its median value. Kaplan-Meier curve analysis showed that patients with a higher ferroptosis risk score had shorter OS (TCGA training set: P < 0.001, TCGA validation set: P < 0.05,GEO validation set: P < 0.001), and Gene Expression Profiling Interactive Analysis (GEPIA) further verified the relationships between these five genes and prognosis in patients with HNSCC. Multivariate Cox regression analysis showed that the risk score remained an independent predictor of OS after the exclusion of clinical confounders (HR > 1, P < 0.01). Significant differences in gene function enrichment analysis and immune cell infiltration status were identified between the two groups. The prognostic model can be used to predict the prognosis of patients with HNSCC. Moreover, the five FRGs may affect ferroptosis in HNSCC and thereby represent potential treatment targets. These results provide new directions for HNSCC treatment.

Identification and validation of an immune-related prognostic signature and key gene in papillary thyroid carcinoma.

BACKGROUND: Papillary thyroid carcinoma (PTC) is the most common pathological type of thyroid cancer. The effect of traditional anti-tumor therapy is not ideal for the patients with recurrence, metastasis and radioiodine resistance. The abnormal expression of immune-related genes (IRGs) has critical roles in the etiology of PTC. However, the effect of IRGs on PTC prognosis remains unclear. METHODS: Based on The Cancer Genome Atlas (TCGA) and ImmPort databases, we integrated IRG expression profiles and progression-free intervals (PFIs) of PTC patients. First, we identified the differentially expressed IRGs and transcription factors (TFs) in PTC. Subsequently, an IRG model that can predict the PFI was constructed by using univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression analyses of the differentially expressed IRGs in the TCGA. Additionally, a protein-protein interaction (PPI) network showed the interactions between the differentially expressed genes (DEGs), and the top 30 genes with the highest degree were extracted from the network. Then, the key IRG was identified by the intersection analysis of the PPI network and univariate Cox regression, which was verified the differential expression of by western blotting and immunohistochemistry (IHC). ssGSEA was performed to understand the correlation between the key IRG expression level and immune activity. RESULTS: A total of 355 differentially expressed IRGs and 43 differentially expressed TFs were identified in PTC patients. Then, eight IRGs were finally utilized to construct an IRG model. The respective areas under the curve (AUCs) of the IRG model reached 0.948, 0.820, and 0.831 at 1, 3 and 5 years in the training set. In addition, lactotransferrin (LTF) was determined as the key IRG related to prognosis. The expression level of LTF in tumor tissues was significantly lower than that in normal tissues. And the results of ssGSEA showed the expression level of LTF is closely related to immune activity. CONCLUSIONS: These findings show that the prognostic model and key IRG may become promising molecular markers for the prognosis of PTC patients.

Identification of Genes Related to Immune Infiltration in the Tumor Microenvironment of Cutaneous Melanoma.

Cutaneous melanoma (CM) is the leading cause of skin cancer deaths and is typically diagnosed at an advanced stage, resulting in a poor prognosis. The tumor microenvironment (TME) plays a significant role in tumorigenesis and CM progression, but the dynamic regulation of immune and stromal components is not yet fully understood. In the present study, we quantified the ratio between immune and stromal components and the proportion of tumor-infiltrating immune cells (TICs), based on the ESTIMATE and CIBERSORT computational methods, in 471 cases of skin CM (SKCM) obtained from The Cancer Genome Atlas (TCGA) database. Differentially expressed genes (DEGs) were analyzed by univariate Cox regression analysis, least absolute shrinkage, and selection operator (LASSO) regression analysis, and multivariate Cox regression analysis to identify prognosis-related genes. The developed prognosis model contains ten genes, which are all vital for patient prognosis. The areas under the curve (AUC) values for the developed prognostic model at 1, 3, 5, and 10 years were 0.832, 0.831, 0.880, and 0.857 in the training dataset, respectively. The GSE54467 dataset was used as a validation set to determine the predictive ability of the prognostic signature. Protein-protein interaction (PPI) analysis and weighted gene co-expression network analysis (WGCNA) were used to verify "real" hub genes closely related to the TME. These hub genes were verified for differential expression by immunohistochemistry (IHC) analyses. In conclusion, this study might provide potential diagnostic and prognostic biomarkers for CM.

Identification of an immune-related signature indicating the dedifferentiation of thyroid cells.

BACKGROUND: Immune cells account for a large proportion of the tumour microenvironment in anaplastic thyroid carcinomas (ATCs). However, the expression pattern of immune-related genes (IRGs) in ATCs is unclear. Our study aimed to identify an immune-related signature indicating the dedifferentiation of thyroid cells. METHODS: We compared the differences in thyroid differentiation score (TDS), infiltration of immune cells and enriched pathways between ATCs and papillary thyroid carcinomas (PTCs) or normal thyroid tissues in the Gene Expression Omnibus database. Univariate and multivariable Cox analyses were used to screen prognosis-associated IRGs in The Cancer Genome Atlas database. After constructing a risk score, we investigated its predictive value for differentiation and survival by applying receiver operating characteristic and Kaplan-Meier curves. We further explored its associations with important immune checkpoint molecules, infiltrating immune cells and response to immunotherapy. RESULTS: Compared with PTCs or normal thyroid tissues, ATCs exhibited lower TDS values and higher enrichment of immune cells and activation of the inflammatory response. The quantitative analyses and immunohistochemical staining validated that most ATC cell lines and ATC tissues had higher expression of MMP9 and lower expression of SDC2 than normal thyroid samples and PTC. Higher risk scores indicates dedifferentiation and a worse prognosis. Additionally, the risk score was positively correlated with the immune checkpoint molecules PDL1, CTLA4, IDO1, and HAVCR2 and infiltration of multiple immune cells. Importantly, we found that the samples with higher risk scores tended to have a better response to immunotherapy than those with lower scores. CONCLUSION: Our findings indicate that the risk score may not only contribute to the determination of differentiation and prognosis of thyroid carcinomas but also help the prediction of immune cells infiltration and immunotherapy response.

Adaptor protein LNK promotes anaplastic thyroid carcinoma cell growth via 14-3-3 ε/γ binding.

BACKGROUND: Rapid progression contributes to treatment failure in anaplastic thyroid carcinoma (ATC) patients. In a preliminary study, we demonstrated that some hematopoietic factors may be involved in the progression of ATC. The adaptor protein LNK, which is a negative regulator of hematopoietic cytokine signalling, has been studied extensively in malignant hematopoietic cells. However, there are few studies on LNK in solid tumours. METHODS: Real-time PCR, immunohistochemistry (IHC) and western blot analysis of LNK were performed on ATC cells, differentiated thyroid cancer (DTC) cells and normal thyroid cells. In vitro assays (including pull-down, liquid chromatography-mass spectrometry (LC-MS), co-IP, MTT and colony formation) were performed to validate the effect of LNK on ATC progression and elucidate the molecular mechanisms. RESULTS: Compared with DTC cells and normal thyroid cells, ATC cells exhibit overexpression of LNK. In addition, LNK overexpression results in increased proliferation of ATC cells. Conversely, LNK knockdown significantly suppresses ATC cell proliferation. LC-MS identified the 14-3-3 ε/γ protein as a LNK binding partner. Finally, the results indicate that LNK overexpression significantly enhances the anti-apoptotic ability of ATC cells via the Akt-NFκB-Bcl-2/Bcl-xL pathway and that the oncogenic effect of LNK largely depends on 14-3-3 ε/γ binding. CONCLUSIONS: The present study elucidated the important role of LNK in the growth of ATC opposite to its behaviour in the hematopoietic system and indicates that LNK is a potential target for the treatment of ATC.

Treatment and prognosis for patients with differentiated thyroid carcinoma bone metastases.

BACKGROUND: To investigate reasonable treatment modalities and prognostic factors for patients with differentiated thyroid carcinoma (DTC) bone metastases (BM). METHODS: The clinicopathological characteristics and follow-up data for all patients with DTC BM who received treatment in the Third Affiliated Hospital of Kunming Medical University between November 1, 1993 and December 31, 2016 were analyzed retrospectively with respect to mortality and survival rates. Multivariate analysis was performed using the Cox proportional hazard model. RESULTS: The 5- and 10-year overall survival (OS) rates were 51.5% and 17.2%, respectively, for all 60 patients. Univariate analysis showed that patients diagnosed with BM at <45 years of age, with controlled thyroid-stimulating hormone (TSH) levels and those undergoing surgery or 131I therapy had better prognoses. Patients with cervical vertebra metastases, multiple organ metastases other than bone, and those receiving chemotherapy had worse prognoses. Gender, pathological type, number of BM lesions, skeletal-related events (SREs) and whether or not the patient received radiotherapy were not related to prognosis. Cox regression analysis showed that age at diagnosis of BM, undergoing surgery for bone lesions, and not receiving chemotherapy were independent factors of favorable prognosis for patients with DTC BM. CONCLUSIONS: Patients with DTC BM have poor prognoses. Age at diagnosis with BM <45 years old, undergoing surgery for bone lesions, and not receiving chemotherapy were independent factors of favorable prognosis for patients with DTC BM. 131I combined with surgery for bone metastatic lesions may be the best treatment model for most patients with DTC BM disease.

Platelet-secreted CCL3 and its receptor CCR5 promote invasive and migratory abilities of anaplastic thyroid carcinoma cells via MMP-1.

Platelet counts have been reported to be closely related to distant metastasis of many malignant tumors. Our previous study showed that elevated peripheral blood platelet counts may be an adverse prognostic factor of anaplastic thyroid carcinoma (ATC) patients, indicating that platelets may promote ATC progression. In the present study, we aimed to identify the role of platelets in ATC cell invasion and migration and to explore the underlying mechanisms. We found that platelets can promote the invasive and migratory of ATC cells, which may be related to the interaction between activated platelet-secreted chemokine (C-C motif) ligand 3 (CCL3) and its receptor CCR5. The interaction was shown to induce the upregulation of matrix metalloproteinase (MMP)-1 via NF-κB pathway. These findings could provide a new idea for the research of targeted platelets to inhibit tumor metastasis.