Self-assembly behavior and adhesive performance of imidazolium cation grafted cellulose nanocrystals in confined space.

Confined evaporation-induced self-assembly (C-EISA) is a powerful technique to guide disordered nanoparticles into long-range organized structures. Herein, we investigate the C-EISA behavior of 1-butyl-3-vinylimidazolium cation ([VBIm]+) grafted cellulose nanocrystals (CNC-C) in a parallel-plates confined geometry. Interestingly, CNC-C can spontaneously assemble into maze-like patterns with branch dimensions on the micrometer scale and uniformly distributed throughout the confined space, which is completely different from the lamellar self-assembly patterns of unmodified CNCs. Combining in situ observations and microscopic characterization, we speculate that the formation of maze-like patterns originates from the reduction of colloidal stability induced by the grafted imidazolium cations. The electrostatic attraction between CNC-C aggregated bundles and glass substrates acts as anchor points, thereby leading to the unstable motion of the liquid-air menisci during the inward intrusion of air. Due to the physicochemical properties and unique C-EISA behavior, the CNC-C based adhesive can maintain adhesion at temperatures of ca. 200 °C, while rapidly debonding when immersed in water, demonstrating the potential to be used as stimuli-responsive temporary or removable adhesives. Furthermore, the strategy proposed in this work for achieving CNCs patterning is also promising to be extended to other anisotropic rod-shaped nanoparticles.

Petite Integration Factor 1 knockdown enhances gemcitabine sensitivity in pancreatic cancer cells via increasing DNA damage.

Chemoresistance is still a vital obstacle in various tumors chemotherapy. This study aimed to explore the role of Petite Integration Factor 1 (PIF1) in the sensitivity of gemcitabine response to pancreatic cancer cells. Gene Expression Profiling Interactive Analysis (GEPIA) database was employed for evaluating the level of PIF1 in pancreatic cancer tissues and normal tissues. The mRNA level of PIF1 was detected via reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis. The relative protein expression of PIF1, cleaved caspase-3, and phosphorylated histone H2Ax (γH2Ax) was assessed through western blot. Cell viability and apoptosis were assessed via Cell Counting Kit-8 (CCK-8) assay and flow cytometry, respectively. Moreover, lactate dehydrogenase (LDH) release and caspase-3 activity were determined via the corresponding LDH Cytotoxicity Assay Kit and caspase-3 colorimetric assay kit. PIF1 expression was upregulated in pancreatic cancer tissues and cells. Knockdown of PIF1 exhibited the repressive impact on the viability of AsPC-1 and PANC-1 cells. PIF1 knockdown enhanced LDH release and apoptosis in both AsPC-1 and PANC-1 cells. PIF1 downregulation could augment the sensitivity of gemcitabine in pancreatic cancer cells, as evidenced by lower cell viability and higher LDH release and apoptosis rate after knocking down PIF1 in gemcitabine-treated pancreatic cancer cells relative to pancreatic cancer cells treated with gemcitabine alone. Moreover, PIF1 knockdown increased γH2Ax protein expression and DNA damage, and gemcitabine treatment-induced DNA damage in AsPC-1 and PANC-1 cells was exacerbated by PIF1 silencing. Furthermore, gemcitabine treatment-caused increase of DNA damage was alleviated by PIF1 overexpression; whereas, this effect of PIF1 upregulation was reversed by thymidine, a DNA synthesis inhibitor. In addition, the decreased gemcitabine sensitivity response to pancreatic cancer cells caused by PIF1 upregulation was also hindered by thymidine treatment. In conclusion, PIF1 silencing enhanced gemcitabine sensitivity response to pancreatic cancer cells through aggrandizing DNA damage.

A Novel Intelligent System for Dynamic Observation of Cotton Verticillium Wilt.

Verticillium wilt is one of the most critical cotton diseases, which is widely distributed in cotton-producing countries. However, the conventional method of verticillium wilt investigation is still manual, which has the disadvantages of subjectivity and low efficiency. In this research, an intelligent vision-based system was proposed to dynamically observe cotton verticillium wilt with high accuracy and high throughput. Firstly, a 3-coordinate motion platform was designed with the movement range 6,100 mm × 950 mm × 500 mm, and a specific control unit was adopted to achieve accurate movement and automatic imaging. Secondly, the verticillium wilt recognition was established based on 6 deep learning models, in which the VarifocalNet (VFNet) model had the best performance with a mean average precision (mAP) of 0.932. Meanwhile, deformable convolution, deformable region of interest pooling, and soft non-maximum suppression optimization methods were adopted to improve VFNet, and the mAP of the VFNet-Improved model improved by 1.8%. The precision-recall curves showed that VFNet-Improved was superior to VFNet for each category and had a better improvement effect on the ill leaf category than fine leaf. The regression results showed that the system measurement based on VFNet-Improved achieved high consistency with manual measurements. Finally, the user software was designed based on VFNet-Improved, and the dynamic observation results proved that this system was able to accurately investigate cotton verticillium wilt and quantify the prevalence rate of different resistant varieties. In conclusion, this study has demonstrated a novel intelligent system for the dynamic observation of cotton verticillium wilt on the seedbed, which provides a feasible and effective tool for cotton breeding and disease resistance research.

An Intelligent Rice Yield Trait Evaluation System Based on Threshed Panicle Compensation.

High-throughput phenotyping of yield-related traits is meaningful and necessary for rice breeding and genetic study. The conventional method for rice yield-related trait evaluation faces the problems of rice threshing difficulties, measurement process complexity, and low efficiency. To solve these problems, a novel intelligent system, which includes an integrated threshing unit, grain conveyor-imaging units, threshed panicle conveyor-imaging unit, and specialized image analysis software has been proposed to achieve rice yield trait evaluation with high throughput and high accuracy. To improve the threshed panicle detection accuracy, the Region of Interest Align, Convolution Batch normalization activation with Leaky Relu module, Squeeze-and-Excitation unit, and optimal anchor size have been adopted to optimize the Faster-RCNN architecture, termed 'TPanicle-RCNN,' and the new model achieved F1 score 0.929 with an increase of 0.044, which was robust to indica and japonica varieties. Additionally, AI cloud computing was adopted, which dramatically reduced the system cost and improved flexibility. To evaluate the system accuracy and efficiency, 504 panicle samples were tested, and the total spikelet measurement error decreased from 11.44 to 2.99% with threshed panicle compensation. The average measuring efficiency was approximately 40 s per sample, which was approximately twenty times more efficient than manual measurement. In this study, an automatic and intelligent system for rice yield-related trait evaluation was developed, which would provide an efficient and reliable tool for rice breeding and genetic research.

Peptidome analysis of human intrauterine adhesion tissues and the identification of antifibrotic peptide.

Intrauterine adhesion (IUA) is a common clinical endometrial disease, which can severely damage the fertility and quality of life in women. This study aims to find the differentially expressed endogenous peptides and their possible roles in IUA. Liquid chromatography-mass spectrometry was used to identify the peptidomic profiling of IUA tissues, and the differentially expressed peptides were screened out. Using real-time quantitative PCR, Western blotting, and immunocytochemistry staining, the function of six endogenous peptides was verified in vitro. It was found that peptide 6 (T6) (peptide sequence: TFGGAPGFPLGSPLSSVFPR) could inhibit the expression of TGF-ß1-induced cell fibrosis in human endometrial stromal cell line and primary human endometrial stromal cell at a concentration of 50 µmol/L. This study provides new targets for further clarifying the formation and prevention of IUA.

Deep Grouping Analysis of the Altered Cervical Canal Microbiota in Intrauterine Adhesion Patients.

To deeply analyze the alterations of cervical canal microbiota in intrauterine adhesion (IUA) patients and microbiota's relation to intrauterine adhesion (IUA) severity, we prospectively enrolled 23 consecutive patients diagnosed with mild-to-severe IUA and 8 women with infertility, 3 women with submucous myomas, or 8 women with endometrial polyps, but without IUA, as non_IUA subjects. For deep grouping analysis, these enrolled women were divided into six groups, two groups, and four groups respectively. Cervical mucus was drawn from the cervical canal of each participant. The bacterial composition was identified by 16S rDNA high-throughput sequencing. For analysis of six groups, mild IUA patients had similar cervical canal microbiota diversity and composition with submucous myomas patients. Compared with mild IUA participants, patients with moderate or severe IUA had a significantly lower diversity of bacteria and higher load of Firmicutes. For analysis of two groups, IUA patients had a significantly lower diversity of bacteria and higher load of Firmicutes than non_IUA subjects. KEGG pathway function analysis showed that metabolic pathways, biosynthesis of secondary metabolites, and microbial metabolism in diverse environments were mostly enriched for these cervical canal microbiota in all enrolled patients. The severity of IUA was associated with the altered abundance of phylum Firmicutes/Acinetobacteria or genus Lactobacillus/Gardnerella in the cervical canal. Higher bacterial load but less diversity in the cervical canal may be related with the severity of IUA. The function of these cervical canal microbiota were mostly involved in metabolic pathways.

RP5-1148A21.3 (lncRP5) exerts oncogenic function in human ovarian carcinoma.

Ovarian cancer (OC) is a fatal gynecological malignancy that is difficult to diagnose at early stages. Various long non-coding RNAs (lncRNAs) are aberrantly expressed in OC and exert regulatory effects on OC; however, the underlying mechanism requires in-depth investigation. This work is designed to explore the molecular regulatory axis of a newly identified lncRNA in OC, that is, lncRNA RP5-1148A21.3 (lncRP5). RT-qPCR shows lncRP5 is significantly upregulated in OC patients and cell lines, and it is mainly located in the cytoplasm of OC cells. The results of CCK-8, colony formation, and transwell assays demonstrate that overexpression of lncRP5 greatly contributes to malignant behaviors of OC cells, while inhibition of lncRP5 shows the opposite effects. Moreover, the binding relationship between lncRP5 and miR-545-5p is predicted by bioinformatics and is further verified by luciferase assay. Functionally, the regulatory effects of lncRP5 and miR-545-3p are negatively related; miR-545-5p serves as a tumor suppressor in OC. Further studies demonstrate that PTP4A1 is the target gene of miR-545-5p. Overexpression of PTP4A1 abrogates the inhibitory function of miR-545-5p on OC cell growth and metastasis. The lncRP5/miR-545-5p/PTP4A1 axis is subsequently demonstrated in vivo, and knockdown of lncRP5 notably inhibits tumor growth. This study provides a novel regulatory mechanism of OC, which may contribute to the diagnosis and therapy of OC.

An Intelligent Analysis Method for 3D Wheat Grain and Ventral Sulcus Traits Based on Structured Light Imaging.

The wheat grain three-dimensional (3D) phenotypic characters are of great significance for final yield and variety breeding, and the ventral sulcus traits are the important factors to the wheat flour yield. The wheat grain trait measurements are necessary; however, the traditional measurement method is still manual, which is inefficient, subjective, and labor intensive; moreover, the ventral sulcus traits can only be obtained by destructive measurement. In this paper, an intelligent analysis method based on the structured light imaging has been proposed to extract the 3D wheat grain phenotypes and ventral sulcus traits. First, the 3D point cloud data of wheat grain were obtained by the structured light scanner, and then, the specified point cloud processing algorithms including single grain segmentation and ventral sulcus location have been designed; finally, 28 wheat grain 3D phenotypic characters and 4 ventral sulcus traits have been extracted. To evaluate the best experimental conditions, three-level orthogonal experiments, which include rotation angle, scanning angle, and stage color factors, were carried out on 125 grains of 5 wheat varieties, and the results demonstrated that optimum conditions of rotation angle, scanning angle, and stage color were 30°, 37°, black color individually. Additionally, the results also proved that the mean absolute percentage errors (MAPEs) of wheat grain length, width, thickness, and ventral sulcus depth were 1.83, 1.86, 2.19, and 4.81%. Moreover, the 500 wheat grains of five varieties were used to construct and validate the wheat grain weight model by 32 phenotypic traits, and the cross-validation results showed that the R 2 of the models ranged from 0.77 to 0.83. Finally, the wheat grain phenotype extraction and grain weight prediction were integrated into the specialized software. Therefore, this method was demonstrated to be an efficient and effective way for wheat breeding research.

Involvement of elevated ASF1B in the poor prognosis and tumorigenesis in pancreatic cancer.

Anti-silencing function 1B (ASF1B) has been reported to be associated with the occurrence of many kinds of tumors. However, the biological effect and action mechanism of ASF1B in pancreatic cancer (PC) tumorigenesis remain unclear. The expression and prognosis value of ASF1B in PC were analyzed using GEPIA, GEO, and Kaplan-Meier plotter databases. The diagnostic value of ASF1B in PC was determined by receiver operating characteristic curve. The relationship between ASF1B expression and the clinical feathers in PC was investigated based on TCGA. qRT-PCR and western blot analyses were used to measure ASF1B expression in PC cells. Cell proliferation was evaluated by MTT and EdU assays, and apoptosis was examined by TUNEL and caspase-3 activity assays. Western blot analysis was utilized to detect the expression of proliferating cell nuclear antigen (PCNA), cyclin D1, Bax, Bcl-2, and phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) signaling proteins. ASF1B was overexpressed in several digestive cancers, including PC. Upregulated ASF1B was correlated with the poor prognosis and clinical features in PC patients. The area under the curve (AUC) value of ASF1B was 0.990. ASF1B was also overexpressed in PC cells. ASF1B silencing inhibited PC cell proliferation, promoted apoptosis, and increased caspase-3 activity, which were accompanied by the reduction of PCNA and cyclin D1 expression and increase of the ratio of Bax/Bcl-2 expression. Additionally, ASF1B silencing suppressed the PI3K/Akt pathway and 740Y-P treatment partially abolished the effects of ASF1B knockdown on PC cells. In conclusion, ASF1B silencing retarded proliferation and promoted apoptosis in PC cells by inactivation of the PI3K/Akt pathway.

Cereal grain 3D point cloud analysis method for shape extraction and filled/unfilled grain identification based on structured light imaging.

Cereals are the main food for mankind. The grain shape extraction and filled/unfilled grain recognition are meaningful for crop breeding and genetic analysis. The conventional measuring method is mainly manual, which is inefficient, labor-intensive and subjective. Therefore, a novel method was proposed to extract the phenotypic traits of cereal grains based on point clouds. First, a structured light scanner was used to obtain the grains point cloud data. Then, the single grain segmentation was accomplished by image preprocessing, plane fitting, region growth clustering. The length, width, thickness, surface area and volume was calculated by the specified analysis algorithms for grain point cloud. To demonstrate this method, experimental materials included rice, wheat and corn were tested. Compared with manual measurement results, the average measurement error of grain length, width and thickness was 2.07%, 0.97%, 1.13%, and the average measurement efficiency was about 9.6 s per grain. In addition, the grain identification model was conducted with 25 grain phenotypic traits, using 6 machine learning methods. The results showed that the best accuracy for filled/unfilled grain classification was 90.184%.The best accuracy for indica and japonica identification was 99.950%, while for different varieties identification was only 47.252%. Therefore, this method was proved to be an efficient and effective way for crop research.

Preoperative tumor abnormal protein is a promising biomarker for predicting hepatocellular carcinoma oncological outcome following curative resection.

Introduction and Objectives: The objective of this study was to explore the potential relationship between tumor abnormal protein (TAP) and the prognosis of hepatocellular carcinoma (HCC) after a radical hepatectomy. Patients or Materials and Methods: This retrospective study included 168 HCC patients (tumor recurrence in 78 patients) who underwent a curative resection from January 2018 to June 2020. The whole population was categorized into a TAP high (≥224.6 µm2) or a TAP low group (<224.6 µm2). Results: There was no correlation between maximum tumor size and TAP. In the whole population or subgroups stratified by maximum tumor size, the recurrence-free survival (RFS) rate of the TAP low group was significantly higher than TAP high group (P < 0.05 for all). The multivariate analysis revealed that TAP (hazard ratio [HR], 3.47; 95% confidence interval [CI], 2.18-5.51; P < 0.001), large tumor size (HR, 2.18; 95% CI, 1.36-3.49; P < 0.001), poor tumor differentiation (HR, 0.53; 95% CI, 0.33-0.84; P = 0.007), and presence of microvascular invasion (MVI) (HR, 2.03; 95% CI, 1.28-3.22; P = 0.003) were independently associated with RFS. The prognostic implication of the nomogram incorporating TAP, maximum tumor diameter, tumor differentiation, and MVI was stronger than the model without TAP. Conclusion: The present study suggests that higher preoperative TAP is correlated with undesirable prognosis in HCC patients who underwent a radical hepatectomy. Our study provides a robust nomogram for RFS of postoperative HCC patients.

Olaparib effectively treats local recurrence of extrahepatic cholangiocarcinoma in a patient harboring a BRCA2-inactivating mutation: a case report.

Cholangiocarcinoma (CCA) is a malignant tumor with poor prognosis and high recurrence rate. There is no standard treatment for advanced CCA beyond first-line chemotherapy, which provides only limited benefits. In this study, we report a case of a postoperative recurrence ECC patient harboring a breast cancer 2 (BRCA2)-inactivating rearrangement mutation that had an obvious reaction to olaparib therapy. The patient was a 68-year-old man with postoperative recurrence of extrahepatic CCA (ECC) who declined systemic chemotherapy. In August 2015, abdominal computed tomography (CT) of the patient revealed intrahepatic bile duct dilatation, obstruction at the hepatic hilar region proximal to the common hepatic duct, and splenomegaly, and radical surgical resection was performed. Postoperative histopathology diagnosis was ECC without metastases. In February 2017, abdominal CT revealed local recurrence, and the patient refused chemotherapy. BRCA2 rearrangement were detected by next-generation sequencing. Oral administration of olaparib was initiated. The patient achieved stable disease 1 month later, progression-free survival for >10 months without any significant adverse reactions, and an overall survival (OS) of 27 months. This is the first report demonstrating the clinical benefits of olaparib in a BRCA2 rearrangement-harboring patient with ECC. This observation would help determine the best treatment option for advanced ECC patients.

Prognostic factors and therapeutic effects of different treatment modalities for colorectal cancer liver metastases.

BACKGROUND: Colorectal cancer (CRC) is one of the most common malignant tumors in China, and the liver is the most common metastatic site in patients with advanced CRC. Hepatectomy is the gold standard treatment for colorectal liver metastases. For patients who cannot undergo radical resection of liver metastases for various reasons, ablation therapy, interventional therapy, and systemic chemotherapy can be used to improve their quality of life and prolong their survival time. AIM: To explore the prognostic factors and treatments of liver metastases of CRC. METHODS: A retrospective analysis was conducted on 87 patients with liver metastases from CRC treated at the Liaoning Cancer Hospital and Institute between January 2005 and March 2011. According to different treatments, the patients were divided into the following four groups: Surgical resection group (36 patients); ablation group (23 patients); intervention group (15 patients); and drug group (13 patients). The clinicopathological data and postoperative survival of the four groups were analyzed. The Kaplan-Meier method was used for survival analysis, and the Cox proportional hazards regression model was used for multivariate analysis. RESULTS: The median survival time of the 87 patients was 38.747 ± 3.062 mo, and the 1- and 3-year survival rates were 87.5% and 53.1%, respectively. The Cox proportional hazards model showed that the following factors were independent factors affecting prognosis: The degree of tumor differentiation, the number of metastases, the size of metastases, and whether the metastases are close to great vessels. The results of treatment factor analysis showed that the effect of surgical treatment was better than that of drugs, intervention, or ablation alone, and the median survival time was 48.83 ± 4.36 mo. The drug group had the worst prognosis, with a median survival time of only 13.5 ± 0.7 mo (P < 0.05). For patients with liver metastases of CRC near the great vessels, the median survival time (27.3 mo) of patients undergoing surgical resection was better than that of patients using other treatments (20.6 mo) (P < 0.05). CONCLUSION: Patients with a low degree of primary tumor differentiation, multiple liver metastases (number of tumors > 4), and maximum diameter of liver metastases > 5 cm have a poor prognosis. Among drug therapy, intervention, ablation, and surgical treatment options, surgical treatment is the first choice for liver metastases. When liver metastases are close to great vessels, surgical treatment is significantly better than drug therapy, intervention, and ablation alone.

Phloretin Modulates Human Th17/Treg Cell Differentiation In Vitro via AMPK Signaling.

OBJECTIVE: We conducted studies to explore the effect of phloretin on glucose uptake, proliferation, and differentiation of human peripheral blood CD4+ T cells and investigated the mechanism of phloretin on inducing Th17/Treg development. METHODS: Naïve CD4+ T cells were purified from peripheral blood of healthy volunteers, stimulated with anti-CD3/CD28 antibodies, and polarized in vitro to generate Th17 or Treg cells. Glucose uptake, proliferation, cell cycle, protein expression (phospho-Stat3, phospho-Stat5), and Th17 and Treg cell numbers were analyzed by flow cytometry. AMP-activated protein kinase (AMPK) signaling was analyzed by western blot. Results and Discussion. Phloretin could inhibit the glucose uptake and proliferation of activated CD4+ T cells. The proliferation inhibition was due to the G0/G1 phase arrest. Phloretin decreased Th17 cell generation and phospho-Stat3 expression as well as increased Treg cell generation and phospho-Stat5 expression in the process of inducing Th17/Treg differentiation. The phosphorylation level of AMPK was significantly enhanced, while the phosphorylation level of mTOR was significantly decreased in activated CD4+ T cells under phloretin treatment. The AMPK signaling inhibitor compound C (Com C) could neutralize the effect of phloretin, while the agonist 5-aminoimidazole-4-carboxamide ribonucleotide (AICAR) could impact the Th17/Treg balance similar to phloretin during Th17/Treg induction. CONCLUSION: Our results suggest that phloretin can mediate the Th17/Treg balance by regulating metabolism via the AMPK signal pathway.

LINC00261 inhibits progression of pancreatic cancer by down-regulating miR-23a-3p.

Long noncoding RNAs (lncRNAs) are usually dysregulated in the progression of pancreatic cancer. This research aims to explore the function and mechanism of LINC00261 in pancreatic cancer cell viability, invasion and apoptosis. Cancer Genome Atlas (TCGA) database was applied to analyze the association between survival probability of patients and level of LINC00261 or miR-23a-3p in pancreatic cancer. Quantitative reverse transcription polymerase chain reaction was conducted to analyze the levels of LINC00261 and miR-23a-3p. Cell viability, invasion and apoptosis of pancreatic cancer cells were determined via MTT, transwell invasion assay, and flow cytometry, respectively. The target relationship between LINC00261 and miR-23a-3p was determined via dual-luciferase reporter and RNA immunoprecipitation assays. Low level of LINC00261 indicated low survival probability of pancreatic cancer patients. LINC00261 level was decreased in pancreatic cancer cells than that in normal pancreatic ductal epithelial cells. Addition of LINC00261 restrained cell viability and invasion and facilitated apoptosis. miR-23a-3p was negatively correlated with LINC00261 level and high expression of miR-23a-3p indicated low survival probability. miR-23a-3p was targeted by LINC00261 and attenuated the influence of LINC00261 on pancreatic cancer cell viability, invasion and apoptosis. In conclusion, LINC00261 overexpression repressed cell viability and invasion and enhanced apoptosis by decreasing miR-23a-3p expression in pancreatic cancer cells, indicating a new target for the treatment of pancreatic cancer.

DNA hypermethylation of aurora kinase A in hepatitis C virus­positive hepatocellular carcinoma.

Changes in the methylation levels of tumor suppressor genes or proto­oncogenes are involved in the pathogenesis of hepatitis C virus (HCV) infection­induced hepatocellular carcinoma (HCC). The aim of the present study was to identify novel aberrantly methylated differentially expressed genes by integrating mRNA expression profile (GSE19665 and GSE62232) and methylation profile (GSE60753) microarrays downloaded from the Gene Expression Omnibus database. Functional enrichment analysis of screened genes was performed using the DAVID software and BinGO database. Protein­protein interaction (PPI) networks were constructed using the STRING database, followed by module analysis with MCODE software. The transcriptional and translational expression levels of crucial genes were confirmed using The Cancer Genome Atlas (TCGA) datasets and Human Protein Atlas database (HPA). A total of 122 downregulated/hypermethylated genes and 63 upregulated/hypomethylated genes were identified. These genes were enriched in the Gene Ontology biological processes terms of 'inflammatory response' [Fos proto­oncogene, AP­1 transcription factor subunit (FOS)] and 'cell cycle process' [aurora kinase A (AURKA), cyclin dependent kinase inhibitor 3 (CDKN3) and ubiquitin conjugating enzyme E2 C (UBE2C)]. PPI network and module analysis indicated that human oncogenes FOS, AURKA, CDKN3 and UBE2C may be hub genes. mRNA, protein expression and methylation levels of AURKA and FOS were validated by TCGA and HPA data. In conclusion, aberrantly methylated AURKA and FOS may be potential therapeutic targets for HCV­positive HCC.

Clinical efficacy of gemcitabine and cisplatin-based transcatheter arterial chemoembolization combined with radiotherapy in hilar cholangiocarcinoma.

BACKGROUND: Radical surgical resection is regarded as the best treatment for hepatic hilar cholangiocarcinoma. However, 60%-70% of patients have lost the chance of surgery at the time of diagnosis. Simple biliary stent or drainage tube placement may fail in a short time due to tumor invasion or overgrowth, bile accumulation, or biofilm formation. Effective palliative treatments to extend the effective drainage time are of great significance for improving the quality of life of patients and changing the prognosis of patients. AIM: To investigate the clinical efficacy of gemcitabine and cisplatin-based transcatheter arterial chemoembolization (TACE) combined with radiotherapy in hilar cholangiocarcinoma. METHODS: A retrospective analysis was conducted on patients clinically diagnosed with hilar cholangiocarcinoma from June 2014 to January 2017 at the Liaoning Provincial Cancer Hospital. Patients were evaluated by specialists, and those who were not suitable for surgery or unwilling to undergo surgery and met the inclusion criteria were included in the study. There were a total of 72 patients (34 males and 38 females) with an average age of 59.9 years (range, 40-72 years). According to percutaneous transhepatic biliary angiography and the patients' wishes, stent implantation or biliary drainage tube implantation was used to relieve biliary obstruction. The patients were divided into either a control group or a combined treatment group according to their follow-up treatment. The control group consisted of a total of 35 patients who received simple biliary drainage tube placement and biliary stent implantation (7 patients with bilateral stents and 6 with a unilateral stent) and 22 patients receiving biliary drainage tube placement alone. The combined treatment group received TACE and extracorporeal radiotherapy after biliary drainage or biliary stent implantation and consisted of a total of 37 patients, including 21 patients receiving combined treatment after biliary stent placement (14 patients with bilateral stents and 7 with a unilateral stent) and 16 undergoing combined therapy after implanting the biliary drainage tube. In the combination treatment group, the TACE chemotherapy regimen employed gemcitabine and cisplatin, and the embolic agent was iodized oil. A particular dose was determined according to the patient's body surface area and the tumor staining indicated by DSA. In vitro radiotherapy was performed with intensity-modulated radiotherapy or three-dimensional conformal radiotherapy at an average dose of 48.3 Gy. Both groups were followed from stent implantation or drainage tube implantation until the patient quitted or died. The median length of follow-up observation was 13 mo. The differences in overall survival time and the effect of different jaundice reducing methods (single stent, double stent, or biliary drainage) on the patency time and survival time of biliary stents were compared between the two groups; the related factors affecting overall survival time were analyzed. RESULTS: The median survival time of the control group was 10.5 mo; the median survival time of patients with biliary stent implantation and those with percutaneous biliary drainage was 9.6 mo and 11.4 mo, respectively, and there was no statistically significant difference between them. The median survival time of the combined treatment group was 20.0 mo, which was significantly higher than that of the control group (P < 0.05). Among patients in the combined treatment group, the median survival time of patients who underwent biliary stent implantation and those who accepted percutaneous biliary drainage before the combination therapy was 19.5 mo and 20.1 mo, respectively, and there was no significant difference between them. In the combination treatment group, the mean time of median stent patency was 15.6 mo, which was significantly higher than that of the control group (7.0 mo; P < 0.05). The independent factors affecting survival time included age, whether to receive combination therapy, percutaneous biliary drainage tube implantation, and Bismuth-Corlette classification as type IV. CONCLUSION: Gemcitabine and cisplatin-based TACE combined with radiotherapy can prolong the survival of patients with hilar cholangiocarcinoma. Independent predictors of survival include selection of combination therapy, Bismuth-Corlette classification as type IV, selection of percutaneous biliary drainage tube implantation, and age.

Mass spectrometry-based peptidome profiling of human serous ovarian cancer tissues.

BACKGROUND: Bioactive peptides existing in vivo have been considered as an important class of natural medicines for the treatment of diseases. Peptidome analysis of tissues and biofluids had provided important information about the differentially expressed bioactive peptides in vivo. METHODS: Here, we analyzed the peptidome of serous ovarian cancer tissue samples and normal ovarian epithelial tissue samples by mass spectrometry and further investigated the possible bioactive peptides that were differentially expressed. RESULTS: We identified 634 differentially expressed peptides, 508 of these peptides were highly abundant in serous ovarian cancer tissues, a result consistent with higher protease activity in ovarian cancer patients. The difference in preferred cleavage sites between the serous ovarian cancer tissues and normal ovarian epithelium indicated the characteristic peptidome of ovarian cancer and the nature of cancer-associated protease activity. Interestingly, KEGG pathway analysis of the peptide precursors indicated that the differentially regulated pathways in ovarian cancer are highly consistent with the pathways discovered in other cancers. Besides, we found that a proportion of the differentially expressed peptides are similar to the known immune-regulatory peptides and anti-bacterial peptides. Then we further investigated the function of the two down-regulated peptides in ovarian cancer cells and found that peptide P1DS significantly inhibited the invasion and migration of OVCAR3 and SKOV3 ovarian cancer cells. CONCLUSIONS: Our results are the first to identify the differentially expressed peptides between the serous ovarian cancer tissue and the normal ovarian epithelium. Our results indicate that bioactive peptides involved in tumorigenesis are existed in vivo.

Yes-associated protein (YAP) binds to HIF-1α and sustains HIF-1α protein stability to promote hepatocellular carcinoma cell glycolysis under hypoxic stress.

BACKGROUND: Hypoxia-inducible factor 1α (HIF-1α) is essential in hepatocellular carcinoma (HCC) glycolysis and progression. Yes-associated protein (YAP) is a powerful regulator and is overexpressed in many cancers, including HCC. The regulatory mechanism of YAP and HIF-1α in HCC glycolysis is unknown. METHODS: We detected YAP expression in 54 matched HCC tissues and the adjacent noncancerous tissues. The relationship between YAP mRNA expression and that of HIF-1α was analyzed using The Cancer Genome Atlas HCC tissue data. We cultured HepG2 and Huh7 HCC cells under normoxic (20% O2) and hypoxic (1% O2) conditions, and measured the lactate and glucose levels, migration and invasive capability, and the molecular mechanism of HCC cell glycolysis and progression. RESULTS: In this study, we detected YAP expression in 54 matched HCC tissues and the adjacent noncancerous tissues. We observed that hypoxia-induced YAP activation is crucial for accelerating HCC cell glycolysis. Hypoxia inhibited the Hippo signaling pathway and promoted YAP nuclear localization, and decreased phosphorylated YAP expression in HCC cells. YAP knockdown inhibited HCC cell glycolysis under hypoxic. Mechanistically, hypoxic stress in the HCC cells promoted YAP binding to HIF-1α in the nucleus and sustained HIF-1α protein stability to bind to PKM2 gene and directly activates PKM2 transcription to accelerate glycolysis. CONCLUSIONS: Our findings describe a new regulatory mechanism of hypoxia-mediated HCC metabolism, and YAP might be a promising therapeutic target in HCC.

Overexpression of LncRNA AC067945.2 Down-Regulates Collagen Expression in Skin Fibroblasts and Possibly Correlates with the VEGF and Wnt Signalling Pathways.

BACKGROUND/AIMS: Long non-coding RNAs (lncRNAs) are thought to play crucial roles in human diseases. However, the function of lncRNAs in hypertrophic scar formation remains poorly understood. METHODS: Utilizing qRT-PCR, we explored the expression changes of AC067945.2. Overexpression of AC067945.2 in normal skin fibroblasts was performed by transient plasmid transfection. Western blot was used to check the proteins' expression changes. Cell Counting Kit-8 (CCK-8) assay and Annexin V/7-AAD staining were used to examine cell proliferation and apoptosis, respectively. mRNA-seq was applied to dissect the differentially expressed mRNAs in AC067945.2 overexpressed cells. We also performed ELISA to detect the VEGF secretion. RESULTS: AC067945.2 was down-regulated in hypertrophic scar tissues. Overexpression of AC067945.2 did not affect cell proliferation, but it mildly promoted early apoptosis in normal skin fibroblasts. Furthermore, AC067945.2 overexpression inhibited the expression of COL1A1, COL1A2, COL3A1 and α-SMA proteins. Transforming growth factor-ß1 (TGF-ß1) could inhibit the expression of AC067945.2. Based on mRNA-seq data, compared with mRNAs in the control group, 138 mRNAs were differentially expressed, including 14 up-regulated and 124 down-regulated transcripts, in the AC067945.2 overexpression group. Gene ontology and pathway analyses revealed that AC067945.2 overexpression was correlated with developmental processes, binding, extracellular region, and the vascular endothelial cell growth factor (VEGF) and Wnt signalling pathways. ELISA confirmed that AC067945.2 overexpression could repress VEGF secretion. CONCLUSION: Taken together, our data uncovered the functions of a novel lncRNA AC067945.2, which might help us understand the mechanisms regulated by AC067945.2 in the pathogenesis of hypertrophic scar formation.