Paraoxonase 2 Facilitates Pancreatic Cancer Growth and Metastasis by Stimulating GLUT1-Mediated Glucose Transport.

Metabolic deregulation is a hallmark of human cancers, and the glycolytic and glutamine metabolism pathways were shown to be deregulated in pancreatic ductal adenocarcinoma (PDAC). To identify new metabolic regulators of PDAC tumor growth and metastasis, we systematically knocked down metabolic genes that were overexpressed in human PDAC tumor samples using short hairpin RNAs. We found that p53 transcriptionally represses paraoxonase 2 (PON2), which regulates GLUT1-mediated glucose transport via stomatin. The loss of PON2 initiates the cellular starvation response and activates AMP-activated protein kinase (AMPK). In turn, AMPK activates FOXO3A and its transcriptional target, PUMA, which induces anoikis to suppress PDAC tumor growth and metastasis. Pharmacological or genetic activation of AMPK, similar to PON2 inhibition, blocks PDAC tumor growth. Collectively, our results identify PON2 as a new modulator of glucose transport that regulates a pharmacologically tractable pathway necessary for PDAC tumor growth and metastasis.

CircCDK17 promotes the proliferation and metastasis of ovarian cancer cells by sponging miR-22-3p to regulate CD147 expression.

Ovarian cancer (OC) is a common malignancy in women of reproductive age. Circular RNAs (circRNAs) are emerging players in OC progression. We investigated the function and mechanism of circular RNA hsa_circ_0027803 (circCDK17) in OC pathogenesis. Real­time PCR (RT-qPCR) and western blot were utilized for gene and protein expression analysis, respectively. Cell counting kit­8 (CCK-8), EdU and Transwell assays investigated OC cell proliferation, migration and invasion. The associations between circCDK17, miR-22-3p and CD147 were examined by dual-luciferase reporter and RNA-protein immunoprecipitation (RIP) assays. The in vivo model of OC nude mice was constructed to explore the role of circCDK17. CircCDK17 was increased in OC tissue and cells, and patients with higher expression of circCDK17 had a shorter survival. CircCDK17 downregulation inhibited OC cell proliferation, migration and invasion, and reduced epithelial-mesenchymal transition (EMT)-related markers. In vivo experiments showed that circCDK17 silencing inhibited OC tumor growth and metastasis. CircCDK17 depletion reduced CD147 level via sponging miR-22-3p. MiR-22-3p knockdown overturned effect of circCDK17 depletion on OC cell proliferation, migration and invasion. Meanwhile, overexpressed CD147 restored functions of circCDK17 downregulation on OC development. CircCDK17 is an important molecule that regulates OC pathogenic process through miR-22-3p/CD147.

Clinicopathological characteristics and diagnostic accuracy of BRAF mutations in ameloblastoma: A Bayesian network analysis.

OBJECTIVE: This Bayesian network meta-analysis was performed to analyze the associations between clinicopathological characteristics and BRAF mutations in ameloblastoma (AM) patients and to evaluate the diagnostic accuracy. MATERIALS AND METHODS: Four electronic databases were searched from 2010 to 2024. The search terms used were specific to BRAF and AM. Observational studies or randomized controlled trials were considered eligible. The incidence of BRAF mutation and corresponding clinicopathological features in AM patients were subjected to Bayesian network analyses and diagnostic accuracy evaluation. RESULTS: A total of 937 AM patients from 20 studies were included. The pooled prevalence of BRAF mutations in AM patients was 72%. According to the Bayesian network analysis, BRAF mutations are more likely to occur in younger (odds ratio [OR], 2.3; credible interval [CrI]: 1.2-4.5), mandible site (OR, 3.6; 95% CrI: 2.7-5.2), and unicystic (OR, 1.6; 95% CrI: 1.1-2.4) AM patients. Similarly, higher diagnostic accuracy was found in the younger, mandible, and unicystic AM groups. CONCLUSIONS: The incidence, risk, and diagnostic accuracy of BRAF mutation in AM were greater in younger patients, those with mandible involvement, and those with unicystic AM than in patients with other clinicopathological features. In addition, there was a strong concordance in the diagnostic accuracy between molecular tests and immunohistochemical analysis.

CT-based radiomics analysis of different machine learning models for differentiating gnathic fibrous dysplasia and ossifying fibroma.

OBJECTIVE: In this study, our aim was to develop and validate the effectiveness of diverse radiomic models for distinguishing between gnathic fibrous dysplasia (FD) and ossifying fibroma (OF) before surgery. MATERIALS AND METHODS: We enrolled 220 patients with confirmed FD or OF. We extracted radiomic features from nonenhanced CT images. Following dimensionality reduction and feature selection, we constructed radiomic models using logistic regression, support vector machine, random forest, light gradient boosting machine, and eXtreme gradient boosting. We then identified the best radiomic model using receiver operating characteristic (ROC) curve analysis. After combining radiomics features with clinical features, we developed a comprehensive model. ROC curve and decision curve analysis (DCA) demonstrated the models' robustness and clinical value. RESULTS: We extracted 1834 radiomic features from CT images, reduced them to eight valuable features, and achieved high predictive efficiency, with area under curves (AUC) exceeding 0.95 for all the models. Ultimately, our combined model, which integrates radiomic and clinical data, displayed superior discriminatory ability (AUC: training cohort 0.970; test cohort 0.967). DCA highlighted its optimal clinical efficacy. CONCLUSION: Our combined model effectively differentiates between FD and OF, offering a noninvasive and efficient approach to clinical decision-making.

A highly potent small-molecule antagonist of exportin-1 selectively eliminates CD44+CD24- enriched breast cancer stem-like cells.

Breast cancer stem-like cells (BCSCs) have been suggested as the underlying cause of tumor recurrence, metastasis and drug resistance in triple-negative breast cancer (TNBC). Here, we report the discovery and biological evaluation of a highly potent small-molecule antagonist of exportin-1, LFS-1107. We ascertained that exportin-1 (also named as CRM1) is a main cellular target of LFS-1107 by nuclear export functional assay, bio-layer interferometry binding assay and C528S mutant cell line. We found that LFS-1107 significantly inhibited TNBC tumor cells at low-range nanomolar concentration and LFS-1107 can selectively eliminate CD44+CD24- enriched BCSCs. We demonstrated that LFS-1107 can induce the nuclear retention of Survivin and consequent strong suppression of STAT3 transactivation abilities and the expression of downstream stemness regulators. Administration of LFS-1107 can strongly inhibit tumor growth in mouse xenograft model and eradicate BCSCs in residual tumor tissues. Moreover, LFS-1107 can significantly ablate the patient-derived tumor organoids (PDTOs) of TNBC as compared to a few approved cancer drugs. Lastly, we revealed that LFS-1107 can enhance the killing effects of chemotherapy drugs and downregulate multidrug resistance related protein targets. These new findings provide preclinical evidence of defining LFS-1107 as a promising therapeutic agent to deplete BCSCs for the treatment of TNBC.

CircTAOK1 regulates high glucose induced inflammation, oxidative stress, ECM accumulation, and apoptosis in diabetic nephropathy via targeting miR-142-3p/SOX6 axis.

BACKGROUND: Diabetic nephropathy (DN) is a complication caused by diabetes. Circular RNAs (circRNAs) are a kind of RNA with a closed circular structure, which has high stability and is involved in many disease-related processes. The mechanism of circRNA TAO kinase 1 (circTAOK1) in the pathogenesis and development of DN is unclear. METHODS: CircTAOK1, microRNA (miR)-142-3p, and sex-determining region Y-box transcription factor 6 (SOX6) mRNA levels were analyzed by real-time quantitative polymerase chain reaction (RT-qPCR). Cell counting kit-8 (CCK8) and 5-ethynyl-2'-deoxyuridine (EdU) assays were used to analyze cell proliferation. Cell cycle distribution was detected by flow cytometry. Western blot assay was performed to test B-cell lymphoma 2 (Bcl-2), Bcl-2 associated X (Bax), cleaved-caspase 3, and fibronectin (FN), collagen I (Col I), and collagen IV (Col IV) protein levels. ELISA assay was used to measure interleukin 1ß (IL-1ß), interleukin 6 (IL-6), and tumor necrosis factor (TNF-α) levels. The reactive oxygen species (ROS) and malondialdehyde (MDA) levels and the superoxide dismutase (SOD) activity were assessed by the corresponding kits. And the correlation between miR-142-3p and circTAOK1 or SOX6 was confirmed by dual luciferase reporter assay, RNA immunoprecipitation assay and RNA pull down assay. RESULTS: CircTAOK1 and SOX6 expression levels were up-regulated, while miR-142-3p expression was down-regulated in DN serum and HG-treated HK-2 cells. Knockdown of circTAOK1 could inhibit cell injury of HG-induced HK-2 cells. The inhibitory effect of circTAOK1 knockdown on HG-induced HK-2 cell injury was restored by miR-142-3p downregulation. CircTAOK1 acted as a sponge for miR-142-3p, and SOX6 was targeted by miR-142-3p. The overexpression of SOX6 could recover the effect of miR-142-3p overexpression on HG-induced HK-2 cell injury. CircTAOK1 regulated the expression of SOX6 by targeting miR-142-3p. CONCLUSION: CircTAOK1 knockdown inhibited HG-induced HK-2 cell damage in DN by the miR-142-3p/SOX6 axis.

The anterior lobe of the parotid gland: a CT sialographic study.

OBJECTIVES: To investigate the imaging and anatomic features of the anterior lobe (AL) of the superficial parotid gland (SPG). METHODS: Computed tomographic sialography examinations were undertaken for 142 parotid glands in 77 patients. Whole computer tomography (CT) data were analyzed using multi-planar reformation and maximum intensity projection to generate sialographic CT images. The tributary ducts of the SPG were analyzed to classify the parotid morphology. Three-dimensional analyses were used to investigate the AL and its relationship with adjacent anatomic landmarks. RESULTS: Four major types (I-IV) and 2 minor types (V-VI) of the AL and the superficial parotid gland were observed. Type I AL (83/142) was contiguous and not separated from the retromandibular parotid gland. Type II AL (16/142) was detached from the retromandibular parotid gland with 1-4 tributary ducts. Type III AL (12/142) showed a small isolated lobe above the Stensen duct around the anterior edge of the masseter. Type IV (28/142) showed the absence of the AL. Type V (3/142) shows the absence of the retromandibular parotid gland. Type VI (3/142) showed the presence of ectopic salivary gland beneath the Stensen duct anterior to the retromandibular parotid gland. CONCLUSIONS: The AL gives rise to the morphological variations of the superficial parotid gland. AL also gives rise to the accessory parotid gland when it is detached from the retromandibular parotid gland.

CMTM6 overexpression confers trastuzumab resistance in HER2-positive breast cancer.

Human epidermal growth factor receptor 2-positive (HER2+) breast cancer is characterized by invasive growth, rapid metastasis and chemoresistance. Trastuzumab is an effective treatment for HER2+ breast cancer; however, trastuzumab resistance leads to cancer relapse and metastasis. CKLF-like MARVEL transmembrane domain-containing 6 (CMTM6) has been considered as a new immune checkpoint for tumor-induced immunosuppression. The role of CMTM6 in trastuzumab resistance remains unknown. Here, we uncover a role of CMTM6 in trastuzumab-resistant HER2+ breast cancer. CMTM6 expression was upregulated in trastuzumab-resistant HER2+ breast cancer cell. Patients with high CMTM6 expressing HER2+ breast cancer had worse overall and progression-free survival than those with low CMTM6 expression. In vitro, CMTM6 knockdown inhibited the proliferation and migration of HER2+ breast cancer cells, and promoted their apoptosis, while CMTM6 overexpression reversed these effects. CMTM6 and HER2 proteins were co-localized on the surface of breast cancer cells, and CMTM6 silencing reduced HER2 protein levels in breast cancer cells. Co-immunoprecipitation revealed that CMTM6 directly interacted with HER2 in HER2+ breast cancer cells, and CMTM6 overexpression inhibited HER2 ubiquitination. Collectively, these findings highlight that CMTM6 stabilizes HER2 protein, contributing to trastuzumab resistance and implicate CMTM6 as a potential prognostic marker and therapeutic target for overcoming trastuzumab resistance in HER2+ breast cancer.

Targeting SOST using a small-molecule compound retards breast cancer bone metastasis.

BACKGROUND: Breast cancer metastasis to the bone can be exacerbated by osteoporosis, is associated with poor long-term survival, and has limited therapeutic options. Sclerostin (SOST) is an endogenous inhibitor of bone formation, and an attractive target for treatment of osteoporosis. However, it is unclear whether SOST can be used as a therapeutic target for bone metastases of breast cancer, and whether small molecule compounds that target SOST in breast cancer cells can inhibit breast cancer bone metastasis. METHODS: SOST expression in 442 breast cancer tissues was characterized by immunohistochemistry and statistically analyzed for the association with breast cancer bone metastases. Bone metastatic breast cancer SCP2 cells were induced for SOST silencing or overexpression and their bone metastatic behaviors were tested in vitro and in vivo. To identify potential therapeutics, we screened inhibitors of the interaction of SOST with STAT3 from a small chemical molecule library and tested the inhibitory effects of one inhibitor on breast cancer growth and bone metastasis in vitro and in vivo. RESULTS: We found that up-regulated SOST expression was associated with breast cancer bone metastases and worse survival of breast cancer patients. SOST silencing significantly reduced the bone metastatic capacity of SCP2 cells. SOST interacted with STAT3 to enhance the TGF-ß/KRAS signaling, increasing both tumor growth and bone metastasis. Treatment with one lead candidate, S6, significantly inhibited the growth of breast-cancer organoids and bone metastasis in mice. CONCLUSIONS: Our findings highlight a new class of potential therapeutics for treatment of bone metastasis in breast cancer.

CEMIP as a potential biomarker and therapeutic target for breast cancer patients.

Purpose: We aimed to evaluate whether CEMIP plays any role in the survival outcome of breast cancer (BC) patients, as well as to explore the regulatory mechanism of CEMIP in BC. Methods: We evaluated the expression and prognostic effect of CEMIP in BC patients using the Oncomine, GEPIA, UALCAN, and Kaplan-Meier plotter databases. Additionally, we detected CEMIP mRNA and protein levels in BC and normal tissues via PCR and western blotting analyses. Through immunochemistry analysis, we quantified CEMIP expression in 233 samples from BC patients. We then analyzed the link between the survival outcomes and CEMIP expression based on these clinical samples. Furthermore, we explored the immune-related molecules regulated by CEMIP and its coexpressed genes using the STRING database. Results: CEMIP expression was higher in BC tissues than in normal tissues. Patients with high CEMIP mRNA levels had a worse survival outcome. Similarly, patients expressing CEMIP had significantly shorter overall survival and disease-free survival than those not expressing the protein (P < 0.01). Some lymphocytes, immune inhibitors, immune stimulators, MHC molecules, chemokines, and chemokine receptors can be regulated by CEMIP, and CEMIP and its coexpressed genes can participate in the hyaluronan biosynthetic process, hyaluronan catabolic process, and other related biological processes in the progression of BC. Conclusion: Compared to normal tissues, BC tissues had higher number of CEMIP transcripts. CEMIP expression was associated with an adverse prognosis. CEMIP and its coexpressed genes can participate in the progression of BC. Therefore, CEMIP may be a potential biomarker for the treatment of BC patients.

A hybrid sampling algorithm combining synthetic minority over-sampling technique and edited nearest neighbor for missed abortion diagnosis.

BACKGROUND: Clinical diagnosis based on machine learning usually uses case samples as training samples, and uses machine learning to construct disease prediction models characterized by descriptive texts of clinical manifestations. However, the problem of sample imbalance often exists in the medical field, which leads to a decrease in classification performance of the machine learning. METHODS: To solve the problem of sample imbalance in medical dataset, we propose a hybrid sampling algorithm combining synthetic minority over-sampling technique (SMOTE) and edited nearest neighbor (ENN). Firstly, the SMOTE is used to over-sampling missed abortion and diabetes datasets, so that the number of samples of the two classes is balanced. Then, ENN is used to under-sampling the over-sampled dataset to delete the "noisy sample" in the majority. Finally, Random forest is used to model and predict the sampled missed abortion and diabetes datasets to achieve an accurate clinical diagnosis. RESULTS: Experimental results show that Random forest has the best classification performance on missed abortion and diabetes datasets after SMOTE-ENN sampled, and the MCC index is 95.6% and 90.0%, respectively. In addition, the results of pairwise comparison and multiple comparisons show that the SMOTE-ENN is significantly better than other sampling algorithms. CONCLUSION: Random forest has significantly improved all indexes on the missed abortion dataset after SMOTE-ENN sampled.

Could the socket shield technique be better than conventional immediate implantation? A meta-analysis.

OBJECTIVES: The purpose of this study was to evaluate whether the clinical outcome of socket shield technique (SST) is superior to that of conventional immediate implantation (CII). MATERIALS AND METHOD: Five electronic databases (PubMed, Cochrane, Web of Science, CNKI, and Google Scholar) were searched to identify randomized controlled trials up to June 31, 2021. Five evaluation indexes were extracted, namely, buccal bone resorption at the horizontal and vertical levels (BBH and BBV), the soft tissue recession assessed by pink evaluation scores (PES), patient satisfaction (PS), ISQ, and the success rate of implantation (SRI), to compare the superiority between SST and CII operations. All data analyses were performed using Review Manager (version 5.4). RESULTS: Ten studies were included in this review. The sample included 388 implants, with 194 in the SST group and 194 in the CII group. Compared with the CII group, the SST group had a lower BBH and BBV (standardized mean difference (SMD), - 1.77; 95% CI, - 2.26 to - 1.28; P < 0.00001 and SMD, - 1.85; 95% CI, - 2.16 to 1.54; P < 0.00001), higher PES improvement (SMD, 2.27; 95% CI, 1.59 to 2.95; P < 0.00001), higher rate of PS (OR, 3.12; 95% CI, 1.08 to 9.04; P = 0.04), and slightly higher ISQ (SMD, 0.71; 95% CI, 0.28 to 1.15; P = 0.001). CONCLUSIONS: Compared with CII, SST could be a better option for esthetic area implantation, but evaluation of its long-term success is still needed. CLINICAL RELEVANCE: By comparing and analyzing the operations of immediate implant in esthetic zone, we could choose SST to effectively alleviate the absorption of bone tissue and improve the contouring of soft tissue after anterior teeth extraction, so as to achieve a more stable and superior clinical outcomes of implant in esthetic zone.

Clinical Implications of HSC70 Expression in Clear Cell Renal Cell Carcinoma.

Purpose: The role of heat shock protein 70 (HSC70) in the progression of clear cell renal cell carcinoma (ccRCC) is unclear. This study explored the effect of the HSC70 on the survival of ccRCC patients. Methods: Immunohistochemical analysis was performed to determine HSC70 expression in samples obtained from 121 ccRCC patients with at least 5 years of follow-up. We also analyzed the association between HSC70 expression and clinicopathological characteristics. Furthermore, the association of overall survival (OS) with HSC70 expression was analyzed using Kaplan-Meier curves. Finally, we used the Oncomine and CCLE databases to determine the effects of HSC70 mRNA expression on ccRCC. Results: HSC70 expression was associated with distant metastasis and death of ccRCC patients. HSC70 was expressed in the nucleus and/or cytoplasm of ccRCC cells. The incidence of distant organ metastasis and death was higher in patients with HSC70 expression than in those without it. Survival analysis revealed that patients with HSC70 expression had significantly shorter OS. Oncomine analyses also showed that the HSC70 mRNA was significantly upregulated in ccRCC tissues. Conclusions: HSC70 expression was related to adverse prognosis, and patients with HSC70 expression had a worse prognosis than those without HSC70 expression. HSC70 may thus serve as a potential therapeutic target for ccRCC.

Elevated cerebrospinal fluid levels of beta-2-microglobulin in patients with Guillain-Barré syndrome and their correlations with clinical features.

BACKGROUNDS: Beta-2-microglobulin (ß2-MG) levels vary in many infectious and autoimmune diseases. We investigated plasma and cerebrospinal fluid (CSF) ß2-MG levels in patients with Guillain-Barré syndrome (GBS) and their correlations with clinical parameters. METHODS: CSF samples from 50 patients with GBS including 19 acute inflammatory demyelinating polyneuropathy (AIDP), 6 acute motor axonal neuropathy (AMAN), 10 acute motor-sensory axonal neuropathy (AMSAN), 7 Miller-Fisher syndrome (MFS), and 8 unclassified patients were collected. Moreover, 23 CSF samples from patients with non-inflammatory neurological disorders (NIND) as controls were collected. Plasma samples from 42 enrolled patients and 29 healthy individuals were also collected. The ß2-MG levels were measured by immunoturbidimetry on automatic biochemical analyser. Besides, clinical data were extracted from electronic patient documentation system. RESULTS: CSF levels of ß2-MG, lactate dehydrogenase (LDH), and lactate were significantly increased in patients with GBS (p = 0.004, p = 0.041, p = 0.040, respectively), particularly in patients with AIDP (p < 0.001, p = 0.001, p = 0.015, respectively), whereas no statistically significant difference was found in plasma levels of ß2-MG. Furthermore, CSF levels of ß2-MG were positively correlated with Hughes functional score (r = 0.493, p = 0.032), LDH (r = 0.796, p < 0.001), and lactate (r = 0.481, p = 0.037) but not with protein (r = - 0.090, p = 0.713) in AIDP patients. CONCLUSIONS: CSF ß2-MG levels may help identify AIDP and indicate clinical severity. CSF LDH and lactate levels correlate with CSF ß2-MG levels; interaction among these biomarkers would need further investigation.

FSIP1 regulates autophagy in breast cancer.

Fibrous sheath interacting protein 1 (FSIP1) is a cancer antigen expressed in the majority of breast cancer tissues and is associated with poor prognosis. However, the role of FSIP1 in the progression and drug sensitivity of triple-negative breast cancer (TNBC) has not been explored. Here, we show that FSIP1 deficiency by shRNA-mediated knockdown or CRISPR-Cas9-mediated knockout significantly inhibits the proliferation and invasion of TNBC cells and impairs chemotherapy-induced growth inhibition in vivo. Computational modeling predicted that FSIP1 binds to ULK1, and this was established by coimmunoprecipitation. FSIP1 deficiency promoted autophagy, enhanced AMP-activated protein kinase (AMPK) signaling, and decreased mechanistic target of rapamycin (mTOR) and Wnt/ß-catenin activity. In contrast, knockdown of AMPK or inhibition of autophagy restored the sensitivity to chemotherapy drugs in TNBC cells. Our findings uncover a role of FSIP1 as well as mechanisms underlying FSIP1 action in drug sensitivity and may, therefore, aid in design of TNBC therapies.

LIPH promotes metastasis by enriching stem-like cells in triple-negative breast cancer.

Lipase member H (LIPH), a novel member of the triglyceride lipase family. The clinical implications of its expression in breast cancer are still unclear. Therefore, in this study, we investigated the associations between LIPH and the tumorigenic behaviours of 144 triple-negative breast cancer (TNBC) patients. The ratio and mammosphere-forming ability of CD44+/CD24- stem-like cells were tested. The role of LIPH in breast cancer cell migration and invasion was also evaluated. In addition, the effect of LIPH silencing on mitochondrial respiration was determined using the Seahorse assay. Finally, the effect of LIPH silencing on protein expression was determined via tandem mass tag-based spectrometry and Western blotting. We found that LIPH expression was associated with metastasis in lymph nodes and distant organs (P = 0.025), resulting in poor survival among breast cancer patients (P = 0.027). LIPH knockdown significantly decreased both the ratio of CD44+ /CD24- stem-like cells and their mammosphere-forming ability. LIPH silencing promoted apoptosis, arrested cell cycle in the G2/M phase, mitigated the oxidation-related oxygen consumption rate in the mitochondria, and reduced metabolism. LIPH inhibited adhesion between tumour cells and enhanced the epithelial-mesenchymal transition. Tandem mass spectrometric analysis presented 68 proteins were differentially expressed in LIPH-silenced cells and LIPH-mediated modulation of tumour cell adhesion depended on integrin-related CAPN2 and paxillin signalling. Overall, our findings provided strong evidence that LIPH up-regulation promoted metastasis and the stemness of TNBC cells. Therefore, targeting LIPH is a potentially viable strategy for preventing metastasis in TNBC.

FSIP2 can serve as a predictive biomarker for Clear Cell Renal Cell Carcinoma prognosis.

Purpose: To characterize the role of fibrous sheath interacting protein 2 (FSIP2) in the survival outcomes and prognosis of clear cell renal cell carcinoma (ccRCC) patients, which is currently not well understood. Methods: The Oncomine and CCLE databases were used to investigate the differential expression of FSIP2 in ccRCC versus other cancer types. Levels of FSIP2 in 85 ccRCC patients were assessed by immunohistochemical analysis; clinicopathological features related to FSIP2 expression were examined in these patients finally, disease-free survival and overall survival were estimated by survival analysis to elucidate the impact of FSIP2 expression in ccRCC patients. Results: Analysis using the Oncomine database revealed significant upregulation of the FSIP2 gene in papillary RCC, compared to that in normal tissues. Additionally, FSIP2 expression was found to be significantly associated with abnormal platelet count, positive distant metastasis, and death as the incidence of distant metastasis and death were higher in patients with FSIP2 expression compared to those without FSIP2 expression. Survival analysis revealed that FSIP2 expression was significantly related to shorter disease-free survival and overall survival. Meanwhile, patients with FSIP2 expression had worse prognosis than those without FSIP2 expression. Conclusions: FSIP2 expression is associated with poor survival outcomes and poor prognosis in ccRCC patients. FSIP2 may therefore serve as a potential predictive biomarker of ccRCC prognosis.

HCK can serve as novel prognostic biomarker and therapeutic target for Breast Cancer patients.

The role of HCK expression in the prognosis of breast cancer patients is unclear. Thus, this study aimed to explore the clinical implications of HCK expression in breast cancer. We assessed HCK expression and genetic variations in breast cancer using Oncomine, GEPIA, UALCAN, and cBioPortal databases. Then, immunochemistry was used to analyze HCK expression in breast cancer specimens, non-cancer tissues and metastatic cancer tissues. Consequently, we evaluated the effect of HCK expression on survival outcomes set as disease-free survival (DFS) and overall survival (OS). Finally, STRING, Coexpedia, and TISIDB database were explored to identify the molecular functions and regulation pathways of HCK. We found that breast cancer tissues have more HCK mRNA transcripts than non-cancer tissues. Patients with HCK expression had significantly shorter DFS and OS. The ratio of HCK expression was higher in cancer tissues than in non-cancer tissues. These results from STRING database, FunRich software, and TISIDB database showed that HCK was involved in mediating multiple biological processes including immune response-regulating signaling pathway, cell growth and maintenance through multiple signaling pathways including epithelial to mesenchymal transition, PI3K/AKT signaling pathway, and focal adhesion. Overall, HCK may be an oncogene in the development of breast cancer and thus may as a novel biomarker and therapeutic target for breast cancer.

miR-611 promotes the proliferation, migration and invasion of tongue squamous cell carcinoma cells by targeting FOXN3.

OBJECTIVES: The function of miR-611 has not yet been reported. We aimed to investigate the effects of miR-611 on tongue squamous cell carcinoma (TSCC) and the underlying mechanism. MATERIALS AND METHODS: The expression level of miR-611 in TSCC tissues was measured using quantitative reverse transcriptase-polymerase chain reaction (RT-qPCR). Cell proliferation, migration and invasion were examined by performing CCK-8, IncuCyte and Transwell assays. Bioinformatics analyses and microarrays were used to screen for target genes, which were verified using a luciferase reporter assay, RT-qPCR and Western blotting. The xenograft model was used to assess the effects of miR-611 in vivo. RESULTS: miR-611 was upregulated in TSCC tissues, which was significantly correlated with TNM stage and negatively associated with the overall survival of patients. In addition, upregulation of miR-611 not only potentiated the proliferation, migration, invasion and epithelial-mesenchymal transition (EMT) of TSCC cells in vitro, but also promoted tumour growth in vivo. FOXN3 was identified as a candidate target gene of miR-611 and subsequently verified. Finally, miR-611 induced a malignant phenotype of TSCC, which was rescued by overexpression of FOXN3. CONCLUSIONS: Our findings suggest that miR-611 is a novel therapeutic target for TSCC.