Smartfield4735

FUZ was found to promote energy metabolism through the phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT) pathway, and overexpression of FUZ increased both lactic acid and 18F-FDG uptake. Moreover, FUZ knockdown significantly inhibited the migration and invasion of NSCLC cells. In vivo, FUZ knockdown can significantly inhibit tumor proliferation in the xenograft model, which was well identified by Micro-PET scan. Conclusion The present finding in vitro and vivo show that FUZ is involved in NSCLC cell energy metabolism, invasion and migration via the PI3K/AKT signaling pathway, suggesting that FUZ can be a potential therapeutic target for NSCLC.Aims Ribosomal protein L17 (RPL17), a 60S subunit component, is up-regulated in colorectal cancer (CRC). However, its oncogenic role in CRC progression remains unexplored. Thus, we aimed to investigate the effect of RPL17 targeting on CRC in vitro and in vivo and whether RPL17 gained an extra-ribosomal function during CRC development. Methods RPL17-specific siRNAs complexed with cationic lipids were transfected to CRC cells to silence target gene expression and then real-time RT-PCR and western blotting were applied to observe the change of expression or activity of genes or proteins of interest. Cell proliferation assay, clonogenic assay and cell cycle analysis were used to determine the in vitro effects of RPL17siRNAs on CRC cell growth, and a subcutaneous xenograft assay was applied to test the effect of RPL17siRNAs on in vivo tumor growth. RNA sequencing and western blotting were used to investigate the underlying mechanisms. Sphere-forming assay, invasion assay and migration assay were used to evaluate tness via the ERK and NEK2/β-catenin signaling axis, and targeting RPL17 could be the next molecular strategy for both primary CRC treatment and prevention of secondary tumor formation.

Intrahepatic cholangiocarcinoma (ICC) represents an aggressive carcinoma with a dismal prognosis. For resection specimens, histopathological prognosticators are limited to standard AJCC parameters. Tumor budding (TB), a quantitative leviable parameter for tumor cell separation and infiltration is a promising prognostic factor for several cancers. This retrospective study investigated the prognostic impact of tumor budding in ICC, using a semi-automated approach.

From the Memorial Sloan-Kettering Cancer Center pathology archives, tissue specimens from ICC patients were HE stained and digitized. Tumor budding was analyzed according to the International Tumor Budding Consensus Conference 2016 via QuPath in ten 0.785 mm² vision fields within the tumor center and the tumor-host interface. Within each field, automated QuPath cell detection was conducted and manually reviewed. Tumor budding was correlated with clinico-pathological parameters including AJCC 8

edition classification, hepatitis status, age, ethnicity, treatment, sex, patient overall (OS) and recurrence free survival (RFS) via uni- and multivariate analyses.

From 89 patients, 1780 Vision fields comprising 6006 tumor buds were analyzed and correlated with patients' OS and RFS. The median value for tumor budding in tumor budding hot spots was five within the tumor-host interface and six within the tumor center. Tumor budding correlated significantly with patient OS and RFS in uni- and multivariate analyses (p<0.001).

Our data supports tumor budding, assessed using a digitally enhanced technique, as an independent prognosticator in ICCs for patient's OS and RFS.

Our data supports tumor budding, assessed using a digitally enhanced technique, as an independent prognosticator in ICCs for patient's OS and RFS.Background Androgen receptor (AR) expression has emerged as a potential prognostic and predictive marker in patients with triple negative breast cancer (TNBC). We conducted a retrospective analysis to evaluate pathologic complete response (pCR) rates, disease-free survival (DFS) and overall survival (OS) in patients with AR positive and AR negative TNBC treated with neoadjuvant chemotherapy. Methods 107 patients with TNBC subtype, treated with neoadjuvant chemotherapy between June 2006 and March 2016 were evaluated for AR expression. Androgen receptors were evaluated by immunohistochemical staining (clone AR441, Dilution 150, Dako-Agilent, Santa Clara, CA) using whole tissue sections from archived paraffin-embedded formalin-fixed (FFPE) blocks. AR positive was defined as ≥10% nuclear stained cells. Correlation of AR expression was examined with age, BMI, race, menopausal status, tumor grade, tumor size, and lymph node involvement, and response and outcomes. Univariate and multivariate analyses were performed sions Our study did not find an association of AR status and the pathologic responses or survival outcomes in patients with TNBC treated with neoadjuvant chemotherapy. Further studies exploring the prognostic and predictive role of AR in patients with TNBC are warranted.Objectives As the pulmonary nodules were hard to be discriminated as benignancy or malignancy only based on imageology, a prospective and observational real-world research was devoted to develop and validate a predictive model for managing the diagnostic challenge. Methods This study started in 2018, and a predictive model was constructed using eXtreme Gradient Boosting (XGBoost) based on computed tomographic, clinical, and platelet data of all the eligible patients. And the model was evaluated and compared with other common models using ROC curves, continuous net reclassification improvement (NRI), integrated discrimination improvement (IDI), and net benefit (NB). Subsequently, the model was validated in an external cohort. Results The development group included 419 participants, while there were 62 participants in the external validation cohort. The most accurate XGBoost model called SCHC model including age, platelet counts in platelet rich plasma samples (pPLT), plateletcrit in platelet rich plasma samples (pPCT), nodule size, and plateletcrit in whole blood samples (bPCT). In the development group, the SCHC model performed well in whole group and subgroups. Compared with VA, MC, BU model, the SCHC model had a significant improvement in reclassification as assessed by the NRI and IDI, and could bring the patients more benefits. For the external validation, the model performed not as well. The algorithm of SCHC, VA, MC, and BU model were first integrated using a web tool (http//i.uestc.edu.cn/SCHC). Conclusions In this study, a platelet feature-based model could facilitate the discrimination of early-stage malignancy from benignancy patients, to ensure accurate diagnosis and optimal management. This research also indicated that common laboratory results also had the potential in diagnosing cancers.[This corrects the article DOI 10.7150/jca.38538.].Background HK2 is reported as a key mediator of aerobic glycolysis, associating with the malignant growth in many types of cancers. Methods In this study, stimulation of HK2 expression was observed in ovarian carcinoma tissues, comparing with the normal ovarian tissues. Results Both of in vitro and in vivo experiments demonstrated that HK2 expression promoted the proliferation and tumor formation by accelerating cell cycle progression in ovarian cancer cells. Further research showed that HK2 expression enhanced the activity of Wnt/β-catenin signaling pathway, inducing the protein levels of β-catenin, c-myc and CyclinD1 in HK2 over-expressing OVCA433 and SKOV3 cells. The positive correlation between HK2 and β-catenin, c-myc, CyclinD1 in human ovarian cancer were confirmed from the GEPIA online database. When β-catenin expression was blocked by an inhibitor (XAV939), reduced c-myc and CyclinD1 expression was observed in HK2 over-expressing cells, with inhibited cell growth. Conclusion Our data demonstrated that hexokinase 2 promotes cell proliferation and tumor formation through the Wnt/β-catenin pathway-mediated CyclinD1/c-myc upregulation in human ovarian cancer.[This retracts the article DOI 10.7150/jca.60269.].[This corrects the article DOI 10.7150/jca.50653.].Lung cancer is the leading cause of cancer-related deaths worldwide. Hypoxia is a crucial microenvironmental factor in lung adenocarcinoma (LUAD). However, the prognostic value based on hypoxia and immune in LUAD remains to be further clarified. The hypoxia-related genes (HRGs) and immune-related genes (IRGs) were downloaded from the public database. The RNA-seq expression and matched complete clinical data for LUAD were retrieved from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. The least absolute shrinkage and selection operator (LASSO) Cox regression analysis was applied to model construction. Hypoxia expression profiles, immune cell infiltration, functional enrichment analysis, Tumor Immune Dysfunction and Exclusion (TIDE) score and the somatic mutation status were analyzed and compared based on the model. Moreover, immunofluorescence (IF) staining in human LUAD cases to explore the expression of hypoxia marker and immune checkpoint. A prognostic model of 9 genes was established, which can divide patients into two subgroups. There were obvious differences in hypoxia and immune characteristics in the two groups, the group with high-risk score value showed significantly high expression of hypoxia genes and programmed death ligand-1 (PD-L1), and maybe more sensitive to immunotherapy. Patients in the high-risk group had shorter overall survival (OS). read more This model has a good predictive value for the prognosis of LUAD. We constructed a new HRGs and IRGs model for prognostic prediction of LUAD. This model may benefit future immunotherapy for LUAD.Background Our previous study has shown that Da0324, a curcumin analog, exhibited significantly improved stability and antitumor activity. However, the molecular mechanisms of action of Da0324 remain poorly understood. Long non-coding RNA (lncRNA) has been shown to play a key role in tumor progression. Here, we aim to investigate the molecular mechanisms underlying the anti-cancer activity of Da0324 by regulating the lncRNA HOTAIRM1. Methods Gastric cancer cell lines were treated with Da0324 and/or transfected with lentiviral vector expressing HOTAIRM1 shRNA, and/or miR-29b-1-5p mimics and/or small interference RNA (siRNA) against PHLPP1, or HOTAIRM1 siRNA or lentiviral vector expressing HOTAIRM1, as needed. The expression of HOTAIRM1, miR-29b-1-5p and PHLPP1 in GC cells was determined by Real-Time PCR. Cell growth was examined by CCK-8 assay and colony formation assay in vitro. The targeted relationship between HOTAIRM1 and miR-29b-1-5p was verified by luciferase reporter gene assay. PHLPP1 protein expression was examined by Western blotting. Results Da0324 increased the expression of HOTAIRM1 in GC cells. HOTAIRM1 expression was significantly down-regulated in GC tissues, and the low expression of HOTAIRM1 was associated with the shorter survival rate of GC patients based on the TCGA database. Knockdown of HOTAIRM1 promoted GC cell proliferation whereas overexpression of HOTAIRM1 inhibited GC cell proliferation as demonstrated by CCK-8 and colony formation assays. Moreover, knockdown of HOTAIRM1 reversed the Da0324-mediated growth inhibition of GC cells. Furthermore, HOTAIRM1 acted as a sponge for miR-29b-1-5p and PHLPP1 is regulated by the HOTAIRM1/miR-29b-1-5p axis in GC cells. Overexpression of miR-29b-1-5p or knockdown of PHLPP1 reversed the ability of Da0324 to inhibit the growth of GC cells. Conclusions Our data suggest that Da0324 exerts antitumor activity by regulating HOTAIRM1/miR-29b-1-5p/PHLPP1 axis in GC cells, and provide new insights into the anti-cancer mechanism of Da0324.