Integration of scRNA and bulk RNA-sequence to construct the 5-gene molecular prognostic model based on the heterogeneity of thyroid carcinoma endothelial cell.

Thyroid cancer (TC) is a kind of cancer with high heterogeneity, which leads to significant difference in prognosis. The prognostic molecular processes are not well understood. Cancer cells and tumor microenvironment (TME) cells jointly determine the heterogeneity. However, quite a little attention was paid to cells in the TME in the past years. In this study, we not only reveal that endothelial cells (ECs) are strongly associated with the progress of papillary thyroid cancer (PTC) using single-cell RNA-seq (scRNA-seq) data downloaded from Gene Expression Omnibus (GEO) and WGCNA, but also screen 5 crucial genes of ECs: CLDN5, ABCG2, NOTCH4, PLAT, and TMEM47. Furthermore, the 5-gene molecular prognostic model is constructed, which can predict how well a patient will do on PD-L1 blockade immunotherapy for TC and evaluate prognosis. Quantitative real-time polymerase chain reaction (qRT-PCR) analysis demonstrates that PLAT is decreased in TC and the increase of PLAT can restrain the migratory capacity of TC cells. Meanwhile, in TC cells, PLAT suppresses VEGFa/VEGFR2-mediated human umbilical vascular endothelial cell (HUVEC) proliferation and tube formation. Totally, we construct the 5-gene molecular prognostic model from the perspective of EC and provide a new idea for immunotherapy of TC.

Thermally driven phase transition of halide perovskites revealed by big data-powered in situ electron microscopy.

Halide perovskites are promising light-absorbing materials for high-efficiency solar cells, while the crystalline phase of halide perovskites may influence the device's efficiency and stability. In this work, we investigated the thermally driven phase transition of perovskite (CsPbIxBr3-x), which was confirmed by electron diffraction and high-resolution transmission electron microscopy results. CsPbIxBr3-x transitioned from δ phase to α phase when heated, and the γ phase was obtained when the sample was cooled down. The γ phase was stable as long as it was isolated from humidity and air. A template matching-based data analysis method enabled visualization of the thermally driven phase evolution of perovskite during heating. We also proposed a possible atomic movement in the process of phase transition based on our in situ heating experimental data. The results presented here may improve our understanding of the thermally driven phase transition of perovskite as well as provide a protocol for big-data analysis of in situ experiments.

Circular forms of dedicator of cytokinesis 1 promotes breast cancer progression by derepressing never in mitosis related kinase 2 via sponging miR-128-3p.

The conjecture of breast cancer is uncertain because of its explosive growth and the complicated molecular mechanisms. Circular RNAs (circRNAs) are regulatory RNA sequences present in the genome and their regulatory mechanism involves the sponging of microRNAs (miRNAs). In this study, we explored the regulation between circular forms of dedicator of cytokinesis 1 (circDOCK1) (hsa_circ_0007142) and miR-128-3p, and its implication on the pathogenesis of breast cancer modulated by never in mitosis (NIMA) related kinase 2 (NEK2). We revealed an increase in circDOCK1 and NEK2 expression, and a decrease in miR-128-3p expression in breast cancer tissues and cell lines. Bioinformatics analysis and experimental validation indicated a positive correlation between circDOCK1 and NEK2 expression but a negative correlation was recorded between miR-128-3p and circDOCK1 or NEK2, respectively. Furthermore, inhibition of circDOCK1 expression was followed by an increase in miR-128-3p and a decrease in NEK2 levels in vitro and in vivo. The luciferase assay concluded that miR-128-3p was a direct target of circDOCK1 while NEK2 was the direct target of miR-128-3p. Furthermore, circDOCK1 inhibition hindered breast cancer development by repressing NEK2 and thus promoting the increased expression of miR-128-3p both in vitro and in vivo. We therefore conclude that circDOCK1 promotes breast cancer progression by targeting miR-128-3p-mediated downregulation of NEK2 and that the circDOCK1/hsa-miR-128-3p/NEK2 axis may be a novel therapeutic target for breast cancer treatment.

Acute effects of ambient air pollution exposure on lung function in the elderly in Hangzhou, China.

Evidence of an association between acute air pollution exposure and lung function in the elderly is limited. This study is cross-sectional. We quantified the effects of air pollution exposure on lung function among 256 elderly by using a linear mixed model. The results revealed that air pollutants had lag effects on lung function after adjusting for confounders. PM2.5 (Lag03, Lag 03 was defined three-day moving average, and so forth), PM10, NO2 (Lag04-Lag05) were significantly associated with reduced FEV1. PM2.5 (Lag01-Lag02), PM10 (Lag0-Lag07), NO2 (Lag0, Lag04), and SO2 (Lag0) were significantly associated with reduced Forced vital capacity (FVC). PM2.5 (Lag04-Lag07) and NO2 (Lag01-Lag07) were significantly associated with reduced FEF25%-75%. The results showed the adverse change was stronger after adjusting for other pollutants in the PM models, and women were more susceptible to air pollutants. Therefore, we should pay attention to the problem of air pollution in the elderly, especially in women.

miR-466 Contributes to the Enhanced Antitumor Effect of Bortezomib on Non-Small-Cell Lung Cancer by Inhibiting CCND1.

INTRODUCTION: Changes in microRNAs (miRs) contribute to the alternative chemo-resistance of cancers. Bortezomib (BTZ) is a well-characterized anticancer agent that inhibits proteasome, and its effect is associated with the function of miRs. Based on the data of microarray assay and comprehensive bioinformatics analyses, in the current study, we explored the role of miR-466 and its downstream effector CCND1 in the BTZ-resistance of non-small-cell lung cancer (NSCLC) cells. METHODS: miR expression profiles in NSCLC tissues and paratumor tissues were determined with microarray assay. The potential miR involved in the chemo-resistance of NSCLC cells was explored via a series of bioinformatics analyses, and miR-466 was selected. Afterward, levels of miR-466 and CCND1 were investigated in NSCLC samples and analyzed by clinicopathologic parameters, including age, sex, stage of NSCLC, tumor size, tumor differentiation status, and lymphocytic infiltration status. The expression of CCND1 and miR-466 was then modulated in vitro to explore the influence on cell phenotypes, which was then verified with mouse models. RESULTS: Based on microarray detection, 287 miRs were dysexpressed between NSCLC tissues and paratumor tissues, including 90 upregulated members and 197 downregulated members. After bioinformatics analyses and reverse transcription quantitative PCR validation, miR-466 and CCND1 were selected. Following clinical investigations, miR-466 was downregulated, while CCND1 was upregulated in NSCLC samples, contributing to the advanced cancer progression. The overexpression of CCND1 increased cell viability, suppressed cell apoptosis, decreased p21 and induced N-cadherin, CCND2, and CDK4 under BTZ treatment. The induced expression of miR-466 re-sensitized NSCLC cells to BTZ treatment. In the animal model, the overexpression of CCND1 impaired the inhibitory effect of BTZ on the growth and metastasis of solid tumor, which was restored by miR-466 induction. CONCLUSION: The findings showed that the interaction between BTZ, miR-466, and CCND1 determined the antitumor effect of BTZ on NSCLC.

In Vitro and In Vivo of Triphenylamine-Appended Fluorescent Half-Sandwich Iridium(III) Thiosemicarbazones Antitumor Complexes.

Half-sandwiched structure iridium(III) complexes appear to be an attractive organometallic antitumor agents in recent years. Here, four triphenylamine-modified fluorescent half-sandwich iridium(III) thiosemicarbazone (TSC) antitumor complexes were developed. Because of the "enol" configuration of the TSC ligands, these complexes formed a unique dimeric configuration. Aided by the appropriate fluorescence properties, studies found that complexes could enter tumor cells in an energy-dependent mode, accumulate in lysosomes, and result in the damage of lysosome integrity. Complexes could block the cell cycle, improve the levels of intrastitial reactive oxygen species, and lead to apoptosis, which followed an antitumor mechanism of oxidation. Compared with cisplatin, the antitumor potential in vivo and vitro confirmed that Ir4 could effectively inhibit tumor growth. Meanwhile, Ir4 could avoid detectable side effects in the experiments of safety evaluation. Above all, half-sandwich iridium(III) TSC complexes are expected to be an encouraging candidate for the treatment of malignant tumors.

Hypermethylation of lncRNA MEG3 impairs chemosensitivity of breast cancer cells.

BACKGROUND: Chemoresistance posed a barrier to successful treatment of breast cancer (BC), and lncRNA MEG3 has been documented to implicate in BC development. However, whether MEG3 methylation, which led to low MEG3 expression, was relevant to BC progression and chemoresistance remained uncertain. METHODS: In the aggregate, 374 pairs of tumor tissues and adjacent normal tissues were collected from pathologically confirmed BC patients, and four BC cell lines, including MDA-MB-231, Bcap-37, MCF-7, and SK-BR-3, were purchased. Moreover, methylation-specific polymerase chain reaction (PCR) was adopted to evaluate the methylation status of BC tissues and cell lines, and chemo-tolerance of BC cell lines was assessed by performing MTT assay. Concurrently, transwell assay and scratch assay were carried out to estimate the migratory and invasive capability of BC cell lines. RESULTS: Methylated MEG3, lowly expressed MEG3, large tumor size (≥2 cm), advanced TNM grade and lymphatic metastasis were potentially symbolic of poor prognosis among BC patients (P < .05). Besides, MDA-MB-231 cell line exhibited the strongest resistance against paclitaxel, adriamycin, and vinorelbine (P < .05), while MCF-7 cell line seemed more sensitive against these drugs than any other BC cell line (P < .05). Furthermore, pcDNA3.1-MEG3 and 5-Aza-dC markedly sensitized MDA-MB-231 and MCF-7 cell lines against the drug treatments (P < .05). Simultaneously, proliferation and metastasis of the BC cell lines were slowed down under the force of pcDNA3.1-MEG3 and 5-Aza-dC (P < .05). CONCLUSION: Preventing methylation of MEG3 might matter in lessening BC chemoresistance, owing to its hindering proliferation and metastasis of BC cells.

Magnetic Resonance Imaging Characteristics of Papillary Thyroid Carcinoma for the Prediction of Cervical Central Compartment Lymph Node Metastasis.

OBJECTIVE: Cervical lymph node metastasis (LNM) is associated with local recurrence and distant metastasis in papillary thyroid carcinoma (PTC). This study was to assess magnetic resonance imaging (MRI) characteristics for predicting cervical LNM in PTC. MATERIALS AND METHODS: A total of 119 patients with 154 PTC examined by MRI were assessed. According to inclusion and exclusion criteria, 78 subjects (78 tumors) were included in the final analysis. Conventional MRI findings and apparent diffusion coefficient were recorded. Descriptive statistics for LNM, sensitivity, specificity, and accuracy of various features were obtained. Multivariate logistic regression was performed for identifying independent variables for predicting LNM. Receiver operating characteristic curves were used to assess the diagnostic performance of the independent variables and model. RESULTS: There were 31 node-positive and 47 node-negative PTCs in this study. Node-positive patients significantly differed from the node-negative group in age (P = 0.039), long/short diameter of lymph nodes (both P < 0.001), lymph nodes cystic change (P = 0.005), tumor size (P < 0.001), poorly defined tumor margin in contrast-enhanced imaging (P < 0.001), and thyroid contour protrusion sign (P < 0.001). Satisfactory interobserver agreement was obtained between the 2 examiners (Cohen κ of 0.871 and 0.872). Thyroid contour protrusion sign and poorly defined tumor margin were identified as independent predictive factors of LNM in PTC (both P < 0.05), with area under the curves of 0.813 and 0.851, and accuracies of 0.810 and 0.838. When the independent factors were combined, the diagnostic performance was improved with an area under the curve of 0.944 and an accuracy of 0.884. CONCLUSIONS: Thyroid contour protrusion sign and poorly defined tumor margin in contrast-enhanced imaging could be 2 important predicted findings for cervical LNM in PTC.

Gastric Neuroendocrine Tumors (G-Nets): Incidence, Prognosis and Recent Trend Toward Improved Survival.

BACKGROUND/AIMS: Gastric neuroendocrine tumors (G-NETs) are uncommon neoplasms that can present with or without clinical symptoms. In this study, we evaluated the incidence, prognosis, and temporal trends of G-NETs. METHODS: We analyzed all cases of G-NETs registered in the Surveillance, Epidemiology, and End Results (SEER) database from 1973 to 2014. Incidence was estimated by age and joinpoint analyses. Survival rates were calculated and survival trends over time were evaluated. RESULTS: A total of 3740 eligible patients were enrolled in the study. G-NETs incidence increased from 0.31 per 1 000 000 patients in 1975 to 4.85 in 2014, with an annual percentage changes (APCs) of 8.9% (95% confidence interval [CI] = 7.7% to 10.21%, P < 0.001, t test (29) from 1975 to 2001 and 3.6% from 2002 to 2014 (95% CI= 2.3% to 4.9%, P < 0.001). For cases diagnosed between 1973 and 1982, five-year survival was 62.8% ± 7.0% (Standard error, SE) and increased to 86.7% ± 0.7% for cases diagnosed between 2003 and 2012 (P < 0.001). Years of diagnosis, gender, age at diagnosis, marital status, grade, tumor size, tumor stage, and surgery performed or not were the strongest predictors of worse survival in both univariate and multivariate analysis (P<0.05). CONCLUSION: G-NETs are uncommon neoplasms but the incidence is growing. Survival has improved in the past decades. Years of diagnosis, gender, age at diagnosis, marital status, grade, tumor size, tumor stage, and surgery status predict survival in patients with G-NETs.

Diagnostic efficacy of multiple MRI parameters in differentiating benign vs. malignant thyroid nodules.

BACKGROUND: Diffusion weighted imaging (DWI) has a good diagnostic value for malignant thyroid nodules, but the published protocols suffer from flaws and focus on the apparent diffusion coefficient (ADC). This study investigated the diagnostic performance of multiple MRI parameters in differentiating malignant from benign thyroid nodules. METHODS: This was a retrospective study of 181 consecutive patients (148 benign and 111 malignant nodules, confirmed by pathological results). The patients underwent conventional MRI, DWI, and dynamic contrast-enhanced MRI before surgery. The chi-square test and the Student t test were used to compare the conventional features and ADC value between malignant and benign groups. Multivariate logistic regression was used to identify the independent predictors and to construct a model. Receiver operator characteristic (ROC) curve analysis was used to assess the diagnostic performance of the independent variables and model. RESULTS: Tumor diameter, ADC value, cystic degeneration, pseudocapsule sign, high signal cystic area on T1-weighted imaging, ring sign in the delayed phase, and irregular shape showed significant differences between two groups (all P < 0.05). The multivariable analysis revealed that ADC value (OR = 694.006, P < 0.001), irregular shape (OR = 32.798, P < 0.001), ring sign in the delayed phase (OR = 20.381, P = 0.004), and cystic degeneration (OR = 8.468, P = 0.016) were independent predictors. Among them, ADC performed the best in discriminating benign from malignant nodules, with an area under the curve (AUC) of 0.95, 0.90 sensitivity, and 0.91 specificity. When the independent factors were combined, the diagnostic performance was improved with an AUC of 0.99, 0.97 sensitivity, and 0.95 specificity. CONCLUSIONS: ADC value could discriminate between benign and malignant thyroid nodules with a good performance. Subjective features such as the ring sign, irregular shape, and cystic degeneration associated with malignant thyroid nodules could provide complementary information for differentiation.

Expression of HMGB2 indicates worse survival of patients and is required for the maintenance of Warburg effect in pancreatic cancer.

High mobility group proteins (HMGs) are the second most abundant chromatin proteins and exert global genomic functions in the establishment of active or inactive chromatin domains. Through interaction with nucleosomes, transcription factors, nucleosome-remodeling machines and histones, the HMGs family proteins contribute to the fine tuning of transcription in response to rapid environmental changes. Mammalian high mobility group Bs (HMGBs) are characterized by two tandem HMG box domains followed by a long acidic tail. Recent studies demonstrated that high expression of HMGBs has been found in many cancers, such as prostate, kidney, ovarian, and gastric cancers. However, their roles in pancreatic cancer have seldom been reported. In this study, we assessed the diagnostic and prognostic values of HMGBs proteins, including HMGB1, HMGB2, and HMGB3, in pancreatic cancer from the Cancer Genome Atlas (TCGA) dataset. Our results demonstrated that HMGB2 predicted poor prognosis in pancreatic cancer. In vitro studies demonstrated that silencing HMGB2 inhibited cell proliferation and viability. Mechanistically, our results demonstrated that silencing HMGB2 decreased hypoxia inducible factor 1α (HIF1α) protein level and inhibited HIF1α-mediated glycolysis process. Further analysis indicated that HIF1α-targeted glycolytic genes, including GLUT1, HK2, and LDHA, are all prognostic factors and positively correlated with HMGB2 expression. Taken together, we discovered new prognostic and predictive markers for pancreatic cancer, and shed light on the novel function of HMGB2 in glycolytic control in cancer.

Paper-based colorimetric immunosensor for visual detection of carcinoembryonic antigen based on the high peroxidase-like catalytic performance of ZnFe2O4-multiwalled carbon nanotubes.

A new paper-based colorimetric immunosensor for the detection of carcinoembryonic antigen (CEA) was developed based on the intrinsic peroxidase activity of ZnFe2O4-multiwalled carbon nanotubes (ZnFe2O4@MWNTs). The immunosensor platform was prepared by depositing chitosan and porous gold onto filter paper and entrapping the primary antibodies (Ab1) onto the layers. Secondary antibodies (Ab2) were assembled on the surface of the functionalized ZnFe2O4@MWNTs. The immunosensor response was quantified as a color change resulting from ZnFe2O4@MWNTs catalyzing the oxidation of 3,3',5,5'-tetramethylbenzidine in the presence of H2O2. The catalytic performance of ZnFe2O4@MWNTs was higher than ZnFe2O4 due to the high electrical conductance of MWNTs, moreover, the electron communications between ZnFe2O4@MWNTs and substrates are electrically "wired". Detection was achieved by measuring the color change when the concentrations of CEA were different. The color change can be quantified with the naked eye but a digitalized picture can also be used to provide more sensitive comparison to a calibrated color scheme. This method was simple for CEA detection with a linear range from 0.005 to 30 ng mL(-1) and a detection limit of 2.6 pg mL(-1). Such an equipment-free immunoassay has great potential in resource-limited environments.

Prediction of Follicular Thyroid Neoplasm and Malignancy of Follicular Thyroid Neoplasm Using Multiparametric MRI.

The study aims to evaluate multiparametric magnetic resonance imaging (MRI) for differentiating Follicular thyroid neoplasm (FTN) from non-FTN and malignant FTN (MFTN) from benign FTN (BFTN). We retrospectively analyzed 702 postoperatively confirmed thyroid nodules, and divided them into training (n = 482) and validation (n = 220) cohorts. The 133 FTNs were further split into BFTN (n = 116) and MFTN (n = 17) groups. Employing univariate and multivariate logistic regression, we identified independent predictors of FTN and MFTN, and subsequently develop a nomogram for FTN and a risk score system (RSS) for MFTN prediction. We assessed performance of nomogram through its discrimination, calibration, and clinical utility. The diagnostic performance of the RSS for MFTN was further compared with the performance of the Thyroid Imaging Reporting and Data System (TIRADS). The nomogram, integrating independent predictors, demonstrated robust discrimination and calibration in differentiating FTN from non-FTN in both training cohort (AUC = 0.947, Hosmer-Lemeshow P = 0.698) and validation cohort (AUC = 0.927, Hosmer-Lemeshow P = 0.088). Key risk factors for differentiating MFTN from BFTN included tumor size, restricted diffusion, and cystic degeneration. The AUC of the RSS for MFTN prediction was 0.902 (95% CI 0.798-0.971), outperforming five TIRADS with a sensitivity of 73.3%, specificity of 95.1%, accuracy of 92.4%, and positive and negative predictive values of 68.8% and 96.1%, respectively, at the optimal cutoff. MRI-based models demonstrate excellent diagnostic performance for preoperative predicting of FTN and MFTN, potentially guiding clinicians in optimizing therapeutic decision-making.

Super-Assembled Multilayered Mesoporous TiO2 Nanorockets for Light-Powered Space-Confined Microfluidic Catalysis.

In the field of sustainable chemistry, it is still a significant challenge to realize efficient light-powered space-confined catalysis and propulsion due to the limited solar absorption efficiency and the low mass and heat transfer efficiency. Here, novel semiconductor TiO2 nanorockets with asymmetric, hollow, mesoporous, and double-layer structures are successfully constructed through a facile interfacial superassembly strategy. The high concentration of defects and unique topological features improve light scattering and reduce the distance for charge migration and directed charge separation, resulting in enhanced light harvesting in the confined nanospace and resulting in enhanced catalysis and self-propulsion. The movement velocity of double-layered nanorockets can reach up to 10.5 µm s-1 under visible light, which is approximately 57 and 119% higher than that of asymmetric single-layered TiO2 and isotropic hollow TiO2 nanospheres, respectively. In addition, the double-layered nanorockets improve the degradation rate of the common pollutant methylene blue under sustainable visible light with a 247% rise of first-order rate constant compared to isotropic hollow TiO2 nanospheres. Furthermore, FEA simulations reveal and confirm the double-layered confined-space enhanced catalysis and self-propulsion mechanism.

MRI Manifestations of Breast Cancer Stroma and their Role in Predicting Molecular Subtype: A Case-control Study.

OBJECTIVE: This study explored whether breast MRI manifestations could be used to predict the stroma distribution of breast cancer (BC) and the role of tumor stroma-based MRI manifestations in molecular subtype prediction. METHODS: 57 patients with pathologically confirmed invasive BC (non-special type) who had lumpy BC on MRI within one week before surgery were retrospectively collected in the study. Stroma distributions were classified according to their characteristics in the pathological sections. The stromal distribution patterns among molecular subtypes were compared with the MRI manifestations of BC with different stroma distribution types (SDTs). RESULTS: SDTs were significantly different and depended on the BC hormone receptor (HR) (P<0.001). There were also significant differences among five SDTs on T2WI, ADC map, internal delayed enhanced features (IDEF), marginal delayed enhanced features (MDEF), and time signal intensity (TSI) curves. Spiculated margin and the absence of type-I TSI were independent predictors for BC with star grid type stroma. The appearance frequency of hypo-intensity on T2WI in HR- BCs was significantly lower (P=0.043) than in HR+ BCs. Star grid stroma and spiculated margin were key factors in predicting HR+ BCs, and the AUC was 0.927 (95% CI: 0.867-0.987). CONCLUSION: Breast MRI can be used to predict BC's stromal distribution and molecular subtypes.

Proteomics Analysis of Polyphyllin D-Treated Triple-Negative Breast Cancer Cells Reveal the Anticancer Mechanisms of Polyphyllin D.

Polyphyllin D (PD), one of the important steroid saponins in traditional medicinal herb Paris polyphylla, has been demonstrated to have anticancer activity both in vitro and in vivo. However, the mechanisms through which PD exerts its anticancer effects in triple-negative breast cancer (TNBC) remain unclear. Our study was presented to evaluate the anticancer effect and the potential mechanisms of PD in two TNBC cell lines, BT-549 and MDA-MB-231. Through comprehensively comparing the liquid chromatography-tandem mass spectrometry (LC-MS/MS) data of PD-treated and untreated BT-549 and MDA-MB-231 cells, we found that PD could induce apoptosis of TNBC cells by activating oxidative phosphorylation pathway in BT-549 cells, as well as inhibiting spliceosome function alteration in MDA-MB-231 cells. These results suggested that the mechanisms underlying the pro-apoptotic effect of PD on TNBC may be cell type-specificity-dependent. Moreover, we found that nodal modulator 2/3 (NOMO2/3) were downregulated both in PD-treated BT-549 and MDA-MB-231 cells, suggesting that NOMO2/3 may be the potential target of PD. Verification experiments revealed that PD deceased NOMO2/3 expression at protein level, rather than mRNA level. Whether NOMO2/3 are the upstream modulators of oxidative phosphorylation pathway and spliceosome needs further validation. In conclusion, a comprehensive proteomics study was performed on PD-treated or untreated TNBC cells, revealing the anticancer mechanisms of PD.

MRI-Based Texture Analysis for Preoperative Prediction of BRAF V600E Mutation in Papillary Thyroid Carcinoma.

Purpose: BRAF V600E mutation can compensate for the low detection rate by fine-needle aspiration (FNA) and is related to aggressiveness and lymph node metastasis. This study aimed to investigate the relationship between texture analysis features based on magnetic resonance imaging (MRI) and mutations. Methods: Retrospective analysis was performed on patients with postoperative pathology confirmed papillary thyroid carcinoma (PTC) from 2017 to 2021. One thousand one hundred and thirty-two texture features were extracted from T2-weighted imaging (T2WI) and contrast-enhanced T1-weighted imaging (CE-T1WI) separately by outlining the tumor volume of interest (VOI). Univariate, minimum redundancy maximum relevance (mRMR), and multivariate analyses were used for feature selection to construct 3 models (T2WI, CE-T1WI, and combined model) to predict mutation. The reproducibility between observers was evaluated by intraclass correlation coefficient (ICC). Receiver operating characteristic (ROC) analysis was used to assess the performance of models. The diagnostic performance of the optimal cut-off value of models were calculated and validated by 10-fold cross-validation. Results: A total of 80 PTCs (22 BRAF V600E wild-type and 58 BRAF V600E mutant) were included in our study. Good interobserver agreement was found on texture features we selected (all ICCs >0.75). The area under the ROC curves (AUCs) for the T2WI model, CE-T1WI model, and combined model were 0.83 (95% CI: 0.75-0.91), 0.83 (95% CI: 0.73-0.90), and 0.88 (95% CI: 0.81-0.94), respectively. The accuracy, sensitivity, specificity, PPV, and NPV were 0.776, 0.679, 0.905, 0.905, and 0.679 for the T2WI model at a cut-off value of 0.674; 0.755, 0.750, 0.762, 0.808, and 0.696 for the CE-T1WI model at a cut-off value of 0.573; 0.816, 0.893, 0.714, 0.806, and 0.833 for the combined model at a cut-off value of 0.420. Conclusion: MRI-based texture analysis could be a potential method for predicting BRAF V600E mutation in PTC preoperatively.

Magnetic beads-based electrochemiluminescence immunosensor for determination of cancer markers using quantum dot functionalized PtRu alloys as labels.

A novel electrochemiluminescence (ECL) immunosensor for sensitive detection of human chorionic gonadotrophin antigen (HCG-Ag) was constructed using CdTe quantum dot functionalized nanoporous PtRu alloys (QDs@PtRu) as labels for signal amplification. In this paper, nanoporous PtRu alloy was employed as the carrier for immobilization of CdTe QDs and antibodies. Primary monoclonal antibody to alfa-HCG antigen (McAb(1)) was immobilized onto the surface of chitosan coated Fe(3)O(4) magnetic nanoparticles (Fe(3)O(4)/CS MNPs) by glutaraldehyde (GA) as coupling agent. Then McAb(1) could be easily separated and assembled on the surface of indium tin oxide glass (ITO) owing to their excellent magnetic properties with external magnetic forces holding the MNPs. Due to signal amplification from the high loading of CdTe QDs, 4.67-fold enhancements in ECL signal for HCG-Ag detection was achieved compared to the unamplified method (single QDs as labels). Under optimal conditions, a wide detection range (0.005~50 ng mL(-1)) and low detection limit (0.8 pg mL(-1)) were achieved through the sandwich-type immunosensor. The novel immunosensor showed high sensitivity and selectivity, excellent stability, and good reproducibility, and thus has great potential for clinical detection of HCG-Ag. In particular, this approach presents a novel class of combining bifunctional nanomaterials with preferable ECL properties and excellent magnetism, which suggests considerable potential in a wide range of applications for bioassays.

[Expression and significance of Rab5a and APPL1 in breast cancer].

OBJECTIVE: To investigate the expression of Rab5a and APPL1 in breast cancer and fibroma, and analyze their correlation with HER-2 expression, metastasis and development of breast cancer. METHODS: Rab5a and APPL1 in paraffin embedded tissues of 74 breast carcinomas and 40 breast fibromas were detected by immunohistochemistry. Their relationship with metastasis, pathological grade, and HER-2 expression in breast cancer was determined by statistical analysis. RESULTS: There was no expression or low expression of Rab5a and APPL1 in the breast fibroma, but the positive expression rate of Rab5a and APPL1 in the breast carcinomas were 91.9% and 83.8%, respectively. No significant difference in expression of Rab5a and APPL1 was found between metastatic and non-metastatic groups, and pathological grade I/II and grade III groups. But Rab5a was overexpressed in HER-2-positive group compared with that in the HER-2-negative group. CONCLUSIONS: Rab5a and APPL1 are overexpressed in breast cancer, and are positively correlated with the HER-2 expression. These proteins may influence the growth and proliferation of breast cancer cells by HER-2 signal transduction.

Polyphyllin D induces apoptosis and protective autophagy in breast cancer cells through JNK1-Bcl-2 pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Polyphyllin D (PD), an active component from rhizome of Paris polyphylla Sm, root and rhizome, shows a strong anti-cancer activity in several cancers. However, whether autophagy is involved in PD-induced cell death in breast cancer cells and its molecular mechanism has not yet been elucidated. AIM OF THE STUDY: To explore the anti-tumor effects of PD in breast cancer and the underlying mechanisms. MATERIALS AND METHODS: PD was isolated from P. polyphylla Sm and confirmed by HPLC and NMR. The role of PD in cell viability, apoptosis, autophagy in breast cancer cells were determined. RESULTS: PD shows significant anti-tumor activity by inhibit cell proliferation and induce caspase-dependent apoptosis in breast cancer cells. Moreover, PD treatment could induce autophagy by activation of JNK1/Bcl-2 pathway. Importantly, blocking of autophagy by using autophagy inhibitor 3-methyladenine (3-MA) dramatically increase PD-induced apoptosis as evidence by the increased percentage of apoptotic cell death. The anti-tumor effects of PD also investigated in vivo. The results showed that the combinatory treatment of PD with autophagy inhibitor significantly promote PD-induced apoptosis. CONCLUSION: PD could induce caspase-dependent apoptosis and cyto-protectvie autophagy by activation of JNK1/Bcl-2 pathway in breast cancer cells. Combination with an autophagy inhibitor significantly enhance cytotoxic effect of PD and this combination may be a promising candidate for breast cancer therapy.