Prognostic value of geriatric nutritional risk index and prognostic nutritional index in hepatocellular carcinoma

BACKGROUND

The geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI) are considered prognostic factors for several cancers. This study aimed to investigate the relationship between the GNRI and PNI for survival outcomes in patients with hepatocellular carcinoma (HCC).

METHODS

We retrospectively analyzed 1666 patients with HCC who underwent hepatectomy. Restricted cubic spline regression was used to analyze the relationship between the GNRI and PNI for recurrence and mortality. Cox proportional hazards regression analysis was used to evaluate the risk factors associated with overall survival (OS) and recurrence-free survival (RFS). Interaction analysis was performed to investigate the comprehensive effects of the GNRI, PNI, and subgroup parameters on the prognosis of patients with HCC.

RESULTS

The risks of death and recurrence decreased rapidly and gradually stabilized as the GNRI and PNI scores increased. Patients with lower GNRI and PNI scores had significantly shorter OS and RFS rates than those with higher scores. Multivariate analysis showed that high GNRI [HR and 95%CI = 0.77 (0.70-0.85), P < 0.001] and PNI [HR and 95%CI = 0.77 (0.70-0.86), P < 0.001] scores were associated with decreased mortality risk. This trend was maintained by confounding variables in adjusted models despite partial interactions with clinical factors. The combined GNRI and PNI analysis showed that HCC patients with high GNRI and PNI had longer OS and RFS.

CONCLUSIONS

The GNRI and PNI showed good survival predictions in patients with HCC. Combining the GNRI with PNI may help predict the prognosis of patients (age>18 years) with HCC after hepatectomy.

[Application of short-course radiotherapy with total neoadjuvant therapy in the treatment of middle and low rectal cancer]

Objective: To compare the efficacy and safety of short-course radiotherapy with total neoadjuvant therapy (SCRT-TNT) and neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced middle and low rectal cancer. Methods: A retrospective cohort study was carried out. A of 126 patients with locally advanced middle and low rectal cancer who were treated in the Department of Gastrointestinal Cancer Surgery of Fujian Cancer Hospital from September 2016 to March 2020 were enrolled, including 73 males and 53 females, with a mean age of (56.5±9.8) (23-77) years. Based on neoadjuvant regimen (nCRT treatment was performed before December 2018 and SCRT-TNT treatment was carried out after January 2019), patients were divided into nCRT group (n=68) and SCRT-TNT group (n=58). There were no statistically significant differences in age, sex, distance from tumor to anal verge, Eastern Cooperative Oncology Group (ECOG) performance status and clinical TNM stage between the two groups (all P>0.05). Patients in both groups received pelvic intensity-modulated radiotherapy (IMRT). The radiotherapy dose of nCRT group was 50Gy/25 times/5 weeks. Patients in nCRT group received oral capecitabine chemotherapy during radiotherapy and underwent surgery 6-8 weeks after chemoradiation. However, patients in SCRT-TNT group received CapeOX regimen (oxaliplatin+capecitabine) for 2 cycles of induction chemotherapy, followed by short-course radiotherapy (25Gy/5 times/5 days), then underwent a radical surgery two weeks after completion of consolidation chemotherapy (4 cycles). The adverse reactions, perioperative safety and efficacy of neoadjuvant therapy were compared and analyzed between the two groups. Results: Both groups completed neoadjuvant therapy as planned. Patients in nCRT group and SCRT-TNT group had similar incidence of adverse reactions to radiotherapy and chemotherapy, however, there were no statistically significant differences in the incidence of surgical complications, operation time, intraoperative blood loss and postoperative length of hospital stay (all P>0.05). A total of 119 patients underwent total mesenterectomy (TME), including 64 patients in the nCRT group and 55 patients in the SCRT-TNT group, all with R0 resection. The pathological complete response (pCR) rate was 10.9% (7/64) in the nCRT group and 25.5% (14/55) in the SCRT-TNT group, respectively, with a statistically significant difference (P=0.038). Two years after surgery, there was no statistically significant difference in local recurrence rate and overall survival rate between the two groups (both P>0.05). However, the clinical metastasis rate of SCRT-TNT group was significantly lower than that of nCRT group (20.3% vs 9.1%), with a statistically significant difference (P<0. 05). Conclusion: SCRT-TNT do not increase the adverse reactions of radio chemotherapy and perioperative risks in the treatment of locally advanced middle and low rectal cancer, and the tumor regression effect is good, which is worthy of clinical promotion.

Genome-wide identification and expression analysis of carotenoid cleavage oxygenase genes in Litchi (Litchi chinensis Sonn.)

BACKGROUND

Carotenoid cleavage oxygenases (CCOs) include the carotenoid cleavage dioxygenase (CCD) and 9-cis-epoxycarotenoid (NCED), which can catalize carotenoid to form various apocarotenoids and their derivatives, has been found that play important role in the plant world. But little information of CCO gene family has been reported in litchi (Litchi chinensis Sonn.) till date.

RESULTS

In this study, a total of 15 LcCCO genes in litchi were identified based on genome wide lever. Phylogeny analysis showed that LcCCO genes could be classified into six subfamilies (CCD1, CCD4, CCD7, CCD8, CCD-like, and NCED), which gene structure, domain and motifs exhibited similar distribution patterns in the same subfamilies. MiRNA target site prediction found that there were 32 miRNA target sites in 13 (86.7%) LcCCO genes. Cis-elements analysis showed that the largest groups of elements were light response related, following was plant hormones, stress and plant development related. Expression pattern analysis revealed that LcCCD4, LcNCED1, and LcNCED2 might be involving with peel coloration, LcCCDlike-b might be an important factor deciding fruit flavor, LcNCED2 and LcNCED3 might be related to flower control, LcNCED1 and LcNCED2 might function in fruitlet abscission, LcCCD4a1, LcCCD4a2, LcCCD1, LcCCD4, LcNCED1, and LcNCED2 might participate in postharvest storage of litchi.

CONCLUSION

Herein, Genome-wide analysis of the LcCCO genes was conducted in litchi to investigate their structure features and potential functions. These valuable and expectable information of LcCCO genes supplying in this study will offer further more possibility to promote quality improvement and breeding of litchi and further function investigation of this gene family in plant.

High-Mobility Group AT-Hook 1 Served as a Prognosis Biomarker and Associated with Immune Infiltrate in Hepatocellular Carcinoma

BACKGROUND

The protein high-mobility group AT-hook 1 (HMGA1) has been demonstrated that modulated cellular proliferation, invasion, and apoptosis with a poor prognosis in miscellaneous carcinomas. However, the mechanism of circumstantial carcinogenesis and association with the immune microenvironment of HMGA1 in hepatocellular carcinoma (HCC) had not been extensively explored.

METHODS

The gene expression, clinicopathological correlation, and prognosis analysis were performed in the data obtained from TCGA. The results were further validated by ICGC and GEO database and external validation cohort from Guangxi. The HMGA1 protein expression was further examined in the HPA database. Biological function analyses were conducted by GSEA, STRING database, and Coexpedia online tool. Using TIMER and CIBERSORT method, the relationship between immune infiltrate and HMGA1 was investigated.

RESULTS

In HCC, HMGA1 had much higher transcriptional and proteomic expression than in corresponding paraneoplastic tissue. Patients with high HMGA1 expression had a poor prognosis and unpromising clinicopathological features. High HMGA1 expression was closely related to the cell cycle, tumorigenesis, substance metabolism, and immune processes by regulating complex signaling pathways. Notably, HMGA1 may be associated with TP53 mutational carcinogenesis. Moreover, increased HMGA1 expression may lead to an increase in immune infiltration and a decrease in tumor purity in HCC. CIBERSORT analysis elucidated that the amount of B cell naive, B cell memory, T cells gamma delta, macrophages M2, and mast cell resting decreased when HMGA1 expression was high, whereas T cells follicular helper, macrophages M0, and Dendritic cells resting increased.

CONCLUSION

In conclusions, HMGA1 is a potent prognostic biomarker and a sign of immune infiltration in HCC, which may be a potential immunotherapy target for HCC.

Measurement of laryngeal elevation by automated segmentation using Mask R-CNN

The methods of measuring laryngeal elevation during swallowing are time-consuming. We aimed to propose a quick-to-use neural network (NN) model for measuring laryngeal elevation quantitatively using anatomical structures auto-segmented by Mask region-based convolutional NN (R-CNN) in videofluoroscopic swallowing study. Twelve videofluoroscopic swallowing study video clips were collected. One researcher drew the anatomical structure, including the thyroid cartilage and vocal fold complex (TVC) on respective video frames. The dataset was split into 11 videos (4686 frames) for model development and one video (532 frames) for derived model testing. The validity of the trained model was evaluated using the intersection over the union. The mean intersections over union of the C1 spinous process and TVC were 0.73 ± 0.07 [0-0.88] and 0.43 ± 0.19 [0-0.79], respectively. The recall rates for the auto-segmentation of the TVC and C1 spinous process by the Mask R-CNN were 86.8% and 99.8%, respectively. Actual displacement of the larynx was calculated using the midpoint of the auto-segmented TVC and C1 spinous process and diagonal lengths of the C3 and C4 vertebral bodies on magnetic resonance imaging, which measured 35.1 mm. Mask R-CNN segmented the TVC with high accuracy. The proposed method measures laryngeal elevation using the midpoint of the TVC and C1 spinous process, auto-segmented by Mask R-CNN. Mask R-CNN auto-segmented the TVC with considerably high accuracy. Therefore, we can expect that the proposed method will quantitatively and quickly determine laryngeal elevation in clinical settings.

Glomerular Disease Classification and Lesion Identification by Machine Learning

Background

Classification of glomerular diseases and identification of glomerular lesions require careful morphological examination by experienced nephropathologists, which is labor-intensive, time-consuming, and prone to interobserver variability. In this regard, recent advance in machine learning-based image analysis is promising.

Methods

We combined Mask Region-based Convolutional Neural Networks (Mask R–CNN) with an additional classification step to build a glomerulus detection model using human kidney biopsy samples. A Long Short-Term Memory (LSTM) recurrent neural network was applied for glomerular disease classification, and another two-stage model using ResNeXt-101 was constructed for glomerular lesion identification in cases of lupus nephritis.

Results

The detection model showed state-of-the-art performance on variedly stained slides with F1 scores up to 0.944. The disease classification model showed good accuracies up to 0.940 on recognizing different glomerular diseases based on H&E whole slide images. The lesion identification model demonstrated high discriminating power with area under the receiver operating characteristic curve up to 0.947 for various glomerular lesions. Models showed good generalization on external testing datasets.

Conclusion

This study is the first-of-its-kind showing how each step of kidney biopsy interpretation carried out by nephropathologists can be captured and simulated by machine learning models. The models were integrated into a whole slide image viewing and annotating platform to enable nephropathologists to review, correct, and confirm the inference results. Further improvement on model performances and incorporating inputs from immunofluorescence, electron microscopy, and clinical data might realize actual clinical use.

SOX4 as biomarker in hepatitis B virus-associated hepatocellular carcinoma

Background: Hepatitis B virus infection is associated with liver disease, including cancers. In this study, we assessed the power of sex-determining region Y (SRY)-related high-mobility group (HMG)-box 4(SOX4) gene to predict the clinical course of hepatocellular carcinoma (HCC).

Methods: To evaluate the differential expression of SOX4 and its diagnostic and prognostic potential in HCC, we analyzed the GSE14520 dataset. Stratified analysis and joint-effect analysis were done using SOX4 and clinical factor. We then designed a nomogram for predicting the clinical course of HCC. Differential SOX4 expression and its correlation with tumor stage as well as its diagnostic and prognostic value were analyzed on the oncomine and GEPIA websites. Gene set enrichment analysis was explored as well as candidate gene ontology and metabolic pathways modulated by in SOX4 HCC.

Results: Our analysis revealed that the level of SOX4 was significantly upregulated in tumor issue (P <0.001). This observation was validated through oncomine dataset and MERAV analysis (all P <0.05). Diagnostic receiver operating characteristic (ROC) analysis of SOX4 suggested it has diagnostic potential in HCC (GSE14520 dataset: P <0.001, area under curve (AUC) = 0.782; Oncomine: (Wurmbach dataset) P = 0.002, AUC = 0.831 and (Mas dataset) P <0.001, AUC = 0.947). In addition, SOX4 exhibited high correlation with overall survival of HBV-associated HCC (adjusted P = 0.004, hazard ratio (HR) (95% confidence interval (CI)) = 2.055 (1.261-3.349) and recurrence-free survival (adjusted P = 0.008, HR (95% CI) = 1.721 (1.151-2.574). These observations which were verified by GEPIA analysis for overall survival (P = 0.007) and recurrence-free survival (P= 0.096). Gene enrichment analysis revealed that affected processes included lymphocyte differentiation, pancreatic endocrine pathways, and insulin signaling pathway. SOX4 prognostic value was evaluated using nomogram analysis for HCC 1, 3, and 5-year, survival.

Conclusion: Differential SOX4 expression presents an avenue of diagnosing and predicting clinical course of HCC. In HCC, SOX4 may affect TP53 metabolic processes, lymphocyte differentiation and the insulin signaling pathway.

Identification of Key Genes in Purine Metabolism as Prognostic Biomarker for Hepatocellular Carcinoma

Background

Deregulated purine metabolism is critical for fast-growing tumor cells by providing nucleotide building blocks and cofactors. Importantly, purine antimetabolites belong to the earliest developed anticancer drugs and are still prescribed in clinics today. However, these antimetabolites can inhibit non-tumor cells and cause undesired side effects. As liver has the highest concentration of purines, it makes liver cancer a good model to study important nodes of dysregulated purine metabolism for better patient selection and precisive cancer treatment.

Methods

By using a training dataset from TCGA, we investigated the differentially expressed genes (DEG) of purine metabolism pathway (hsa00230) in hepatocellular carcinoma (HCC) and determined their clinical correlations to patient survival. A prognosis model was established by Lasso-penalized Cox regression analysis, and then validated through multiple examinations including Cox regression analysis, stratified analysis, and nomogram using another ICGC test dataset. We next treated HCC cells using chemical drugs of the key enzymes in vitro to determine targetable candidates in HCC.

Results

The DEG analysis found 43 up-regulated and 2 down-regulated genes in the purine metabolism pathway. Among them, 10 were markedly associated with HCC patient survival. A prognostic correlation model including five genes (PPAT, DCK, ATIC, IMPDH1, RRM2) was established and then validated using the ICGC test dataset. Multivariate Cox regression analysis found that both prognostic risk model (HR = 4.703 or 3.977) and TNM stage (HR = 2.303 or 2.957) independently predicted HCC patient survival in the two datasets respectively. The up-regulations of the five genes were further validated by comparing between 10 pairs of HCC tissues and neighboring non-tumor tissues. In vitro cellular experiments further confirmed that inhibition of IMPDH1 significantly repressed HCC cell proliferation.

Conclusion

In summary, this study suggests that purine metabolism is deregulated in HCC. The prognostic gene correlation model based on the five purine metabolic genes may be useful in predicting HCC prognosis and patient selection. Moreover, the deregulated genes are targetable by specific inhibitors.

Predicting aggressive histopathological features in esophageal cancer with positron emission tomography using a deep convolutional neural network

Background

The presence of lymphovascular invasion (LVI) and perineural invasion (PNI) are of great prognostic importance in esophageal squamous cell carcinoma. Currently, positron emission tomography (PET) scans are the only means of functional assessment prior to treatment. We aimed to predict the presence of LVI and PNI in esophageal squamous cell carcinoma using PET imaging data by training a three-dimensional convolution neural network (3D-CNN).

Methods

Seven hundred and ninety-eight PET scans of patients with esophageal squamous cell carcinoma and 309 PET scans of patients with stage I lung cancer were collected. In the first part of this study, we built a 3D-CNN based on a residual network, ResNet, for a task to classify the scans into esophageal cancer or lung cancer. In the second stage, we collected the PET scans of 278 patients undergoing esophagectomy for a task to classify and predict the presence of LVI/PNI.

Results

In the first part, the model performance attained an area under the receiver operating characteristic curve (AUC) of 0.860. In the second part, we randomly split 80%, 10%, and 10% of our dataset into training set, validation set and testing set, respectively, for a task to classify the scans into the presence of LVI/PNI and evaluated the model performance on the testing set. Our 3D-CNN model attained an AUC of 0.668 in the testing set, which shows a better discriminative ability than random guessing.

Conclusions

A 3D-CNN can be trained, using PET imaging datasets, to predict LNV/PNI in esophageal cancer with acceptable accuracy.

Oncogene UBE2I enhances cellular invasion, migration and proliferation abilities via autophagy-related pathway resulting in poor prognosis in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a worldwide malignancy with high morbidity and mortality. In this study, ubiquitin conjugating enzyme E2I (UBE2I), a small ubiquitin-like modifier E2 enzyme reportedly expressed in tumors, was examined for its potential effects in HCC. Bioinformatics analysis was performed based on HCCDB, TIMER, and Kaplan-Meier plotter databases to explore the clinical implications in HCC. An siRNA kit was used to downregulate UBE2I, and in vitro experiments-including migration, invasion and proliferation assays-were performed to examine UBE2I expression in HCC. Western blot (WB) was used to determine whether downregulated UBE2I expression influenced the prognosis of HCC via autophagy pathways. Finally, RNA-sequencing was performed to explore candidate molecular mechanisms underlying the effect of UBE2I. Bioinformatics analysis including stratification by alcohol ingestion and hepatitis status in HCC showed that highly expressed UBE2I was not only correlated with poor prognosis, but was also associated with immune infiltrates. In vitro experiments showed that high expression of UBE2I was associated with increased migration, invasion and proliferation of HCC cells. WB results indicated that downregulated expression of UBE2I was associated with higher levels of autophagy-related proteins including LC3A/B, Beclin-1 and ATG16L1. Moreover, RNA-sequencing results suggested that UBE2I was involved in hepatocarcinogenesis, non-alcohol fatty liver disease, steatohepatitis, liver fibrosis, inflammation, hepatoblastoma, tumor angiogenesis, type 2 mellitus diabetes, biliary tract disease and other diseases. We conclude that oncogene UBE2I is associated with poor prognosis of HCC via autophagy pathways and may be involved in hepatocarcinogenesis, tumor angiogenesis, non-alcohol fatty liver disease and inflammation.

Clinical significance of long non-coding RNA DUXAP8 and its protein coding genes in hepatocellular carcinoma

Backgrounds: Hepatocellular carcinoma (HCC) is a lethal malignancy worldwide that is difficult to diagnose during the early stages and its tumors are recurrent. Long non-coding RNAs (lncRNAs) have increasingly been associated with tumor biomarkers for diagnosis and prognosis. This study attempts to explore the potential clinical significance of lncRNA DUXAP8 and its co-expression related protein coding genes (PCGs) for HCC.

Method: Data from a total of 370 HCC patients from The Cancer Genome Atlas were utilized for the analysis. DUXAP8 and its top 10 PCGs were explored for their diagnostic and prognostic implications for HCC. A risk score model and nomogram were constructed for prognosis prediction using prognosis-related genes and DUXAP8. Molecular mechanisms of DUXAP8 and its PCGs involved in HCC initiation and progression were investigated. Then, potential target drugs were identified using genome-wide DUXAP8-related differentially expressed genes in a Connectivity Map database.

Results: The top 10 PCGs were identified as: RNF2, MAGEA1, GABRA3, MKRN3, FAM133A, MAGEA3, CNTNAP4, MAGEA6, MALRD1, and DGKI. Diagnostic analysis indicated that DUXAP8, MEGEA1, MKRN3, and DGKI show diagnostic implications (all area under curves ≥0.7, p≤0.05). Prognostic analysis indicated that DUXAP8 and RNF2 had prognostic implications for HCC (adjusted p=0.014 and 0.008, respectively). The risk score model and nomogram showed an advantage for prognosis prediction. A total of 3 target drugs were determined: cinchonine, bumetanide and amiprilose and they may serve as potential therapeutic targets for HCC.

Conclusion: Functioning as an oncogene, DUXAP8 is overexpressed in tumor tissue and may serve as both a diagnostic and prognosis biomarker for HCC. MEGEA1, MKRN3, and DGKI maybe potential diagnostic biomarkers and DGKI may also be potentially prognostic biomarkers for HCC.

Genome-wide RNA-sequencing dataset reveals the prognostic value and potential molecular mechanisms of lncRNA in non-homologous end joining pathway 1 in early stage Pancreatic Ductal Adenocarcinoma

Objective: Our current study is to explore the prognostic value and molecular mechanisms underlying the role of lncRNA in non-homologous end joining pathway 1 (LINP1) in early stage pancreatic ductal adenocarcinoma (PDAC).

Methods: Genome-wide RNA-seq datasets of 112 early stage PDAC patients were got from The Cancer Genome Atlas and analyzed using multiple online tools.

Results: Overall survival in high LINP1 expression patients was shorter than those with low expression (high-LINP1 vs. low-LINP1=481 vs. 592 days, log-rank P=0.0432). The multivariate Cox proportional hazard regression model suggested that high-LINP1 patients had a markedly higher risk of death than low-LINP1 patients (adjusted P=0.004, hazard ratio=2.214, 95% confidence interval=1.283-3.820). Analysis of genome-wide co-expressed genes, screening of differentially expressed genes, and gene set enrichment analysis indicated that LINP1 may be involved in the regulation of cell proliferation-, cell adhesion- and cell cycle-related biological processes in PDAC. Six small-molecule compounds including STOCK1N-35874, fenofibrate, exisulind, NU-1025, vinburnine, and doxylamine were identified as potential LINP1-targeted drugs for the treatment of PDAC.

Conclusions: Our study indicated that LINP1 may serve as a prognostic biomarker of early stage PDAC. Analysis of genome-wide datasets led to the elucidation of the underlying mechanisms and identified six potential targeted drugs for the treatment of early PDAC.

Investigation of the association between C-X-C motif chemokine receptor subunits and tumor infiltration levels and prognosis in patients with early-stage pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is one of the malignancies with the highest morality rate due to postoperative local invasion and distant metastasis. Although C-X-C motif chemokine receptor (CXCR) subunits have been reported as prognostic indicators in gastric cancer, the prognostic value of CXCR subunits in PDAC remains poorly understood. In the present study, the expression levels and biological functions of CXCR subunits were investigated using multiple publicly accessible bioinformatic platforms and databases. Survival analysis was used to evaluate the prognostic value of CXCR subunits in 112 early-stage PDAC cases by setting the median expression levels as the cut-off values. A nomogram was constructed to combine CXCR subunit expression levels and clinical data for prognosis prediction. Moreover, the association between CXCR subunit expression levels and tumor infiltration levels were detected in PDAC. The expression levels of CXCR subunits were elevated in PDAC tumor tissues. In the multivariate Cox proportional risk regression model, high CXCR2, CXCR4 and CXCR6 expression levels in early-stage PDAC were associated with a more favorable prognosis. Further, it was demonstrated that the differential expression levels of CXCR subunits in PDAC for combined survival analysis could contribute to risk stratification. The nomogram model demonstrated the contribution of CXCR subunits and clinical features in the prognosis of PDAC. Gene Set Enrichment Analysis suggested that CXCR subunits serve a role in immunomodulatory functions. The expression levels and somatic copy number alterations of CXCR subunits were associated with tumor infiltration levels in PDAC. CXCR subunits were associated with prognosis in patients with early-stage PDAC and may be potential drug targets for the treatment of pancreatic cancer.

A Multi-Organ Nucleus Segmentation Challenge

Generalized nucleus segmentation techniques can contribute greatly to reducing the time to develop and validate visual biomarkers for new digital pathology datasets. We summarize the results of MoNuSeg 2018 Challenge whose objective was to develop generalizable nuclei segmentation techniques in digital pathology. The challenge was an official satellite event of the MICCAI 2018 conference in which 32 teams with more than 80 participants from geographically diverse institutes participated. Contestants were given a training set with 30 images from seven organs with annotations of 21,623 individual nuclei. A test dataset with 14 images taken from seven organs, including two organs that did not appear in the training set was released without annotations. Entries were evaluated based on average aggregated Jaccard index (AJI) on the test set to prioritize accurate instance segmentation as opposed to mere semantic segmentation. More than half the teams that completed the challenge outperformed a previous baseline. Among the trends observed that contributed to increased accuracy were the use of color normalization as well as heavy data augmentation. Additionally, fully convolutional networks inspired by variants of U-Net, FCN, and Mask-RCNN were popularly used, typically based on ResNet or VGG base architectures. Watershed segmentation on predicted semantic segmentation maps was a popular post-processing strategy. Several of the top techniques compared favorably to an individual human annotator and can be used with confidence for nuclear morphometrics.

Successful Identification of Nasopharyngeal Carcinoma in Nasopharyngeal Biopsies Using Deep Learning

Pathologic diagnosis of nasopharyngeal carcinoma (NPC) can be challenging since most cases are nonkeratinizing carcinoma with little differentiation and many admixed lymphocytes. Our aim was to evaluate the possibility to identify NPC in nasopharyngeal biopsies using deep learning. A total of 726 nasopharyngeal biopsies were included. Among them, 100 cases were randomly selected as the testing set, 20 cases as the validation set, and all other 606 cases as the training set. All three datasets had equal numbers of NPC cases and benign cases. Manual annotation was performed. Cropped square image patches of 256 × 256 pixels were used for patch-level training, validation, and testing. The final patch-level algorithm effectively identified NPC patches, with an area under the receiver operator characteristic curve (AUC) of 0.9900. Using gradient-weighted class activation mapping, we demonstrated that the identification of NPC patches was based on morphologic features of tumor cells. At the second stage, whole-slide images were sequentially cropped into patches, inferred with the patch-level algorithm, and reconstructed into images with a smaller size for training, validation, and testing. Finally, the AUC was 0.9848 for slide-level identification of NPC. Our result shows for the first time that deep learning algorithms can identify NPC.

Oncogene PLCE1 may be a diagnostic biomarker and prognostic biomarker by influencing cell cycle, proliferation, migration, and invasion ability in hepatocellular carcinoma cell lines

Hepatocellular carcinoma (HCC) is a lethal malignancy worldwide. HCC has traits of late diagnosis and high recurrence. This study explored potential diagnosis and prognosis significance of phospholipase C epsilon 1 (PLCE1) in HCC. The messenger RNA (mRNA) levels and diagnostic value of PLCE1 were determined by real-time polymerase chain reaction and online databases GEPIA, oncomine, and GSE14520 data set. Survival analysis used the Kaplan-Meier Plotter website. Cell cycle, proliferation, migration, and invasion assays were performed with downregulated PLCE1 expression in HCC-M and HepG2 cell lines. PLCE1 was differentially expressed and highly expressed in tumors and had low expression in nontumor tissues (all p < .05). The diagnostic value of PLCE1 was validated with the datasets (all p < .01, all areas under curves > 0.7). PLCE1 mRNA expression was associated with the overall and relapse-free survival (both p < .05). Functional experiments indicated that downregulation of PLCE1 expression led to increased G1 stage in cell cycle and decreased cell proliferation, migration, and invasion compared with a negative control group (all p ≤ .05). The oncogene PLCE1 was differentially expressed in HCC and non-HCC tissues. It is a candidate for diagnosis and serves as prognosis biomarker. PLCE1 influenced survival by affecting the cell cycle, proliferation, migration, and invasion ability.

Novel candidate biomarkers of origin recognition complex 1, 5 and 6 for survival surveillance in patients with hepatocellular carcinoma

Background: Hepatocellular carcinoma (HCC) has high morbidity and mortality and lacks effective biomarkers for early diagnosis and survival surveillance. Origin recognition complex (ORC), consisting of ORC1-6 isoforms, was examined to assess the potential significance of ORC isoforms for HCC prognosis. Methods: Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) databases were used to examine differential isoform expression, stage-specific expression, calculate Pearson correlations and perform survival analysis. A human protein atlas database was utilized to evaluate the protein expression of ORCs in liver tissue. The cBioPortal database was used to assess isoform mutations and the survival significance of ORCs in HCC. Cytoscape software was employed to construct gene ontologies, metabolic pathways and gene-gene interaction networks. Results: Differential expression analysis indicated that ORC1 and ORC3-6 were highly expressed in tumor tissues in the Oncomine and GEPIA databases, while ORC2 was not. All the ORCs were showed positive and statistically significant correlations with each other (all P<0.001). ORC1-2 and ORC4-6 expressions were associated with disease stages I-IV (all P<0.05), but ORC3 was not. Survival analysis found that ORC1 and ORC4-6 expressions were associated with overall survival (OS), and ORC1-3 and ORC5-6 expression were associated with recurrence-free survival (RFS; all P<0.05). In addition, low expression of these ORC genes consistently indicated better prognosis compared with high expression. Protein expression analysis revealed that ORC1 and ORC3-6 were expressed in normal liver tissues, whereas ORC2 was not. Enrichment analysis indicated that ORCs were associated with DNA metabolic process, sequence-specific DNA binding and were involved in DNA replication, cell cycle, E2F-enabled inhibition of pre-replication complex formation and G1/S transition. Conclusions: Differentially expressed ORC1, 5 and 6 are candidate biomarkers for survival prediction and recurrence surveillance in HCC.

Comprehensive investigation of p53, p21, nm23, and VEGF expression in hepatitis B virus-related hepatocellular carcinoma overall survival after hepatectomy

Objective: The goal of our current study is to assess the immunohistochemical of p53, p21, nm23, and VEGF expression in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) prognosis after hepatectomy, as well as the prospective molecular mechanisms of prognostic indicator. Methods: There were 419 HBV-related HCC patients who were from southern China of Guangxi province and were used to evaluate the immunohistochemical expression for these biomarkers in prognosis. A genome-wide expression microarray dataset of HBV-related HCC were obtained from GSE14520. Results: In our study, the expression of p53, p21, and nm23 in cancer tissues of patients with hepatitis B-related hepatocellular carcinoma did not affected the clinical outcome of 2 years, 5 years or overall. Patients with high expression of VEGF had a worse overall survival after 2 years of surgery than patients with low expression (adjusted P=0.040, adjusted HR = 1.652, 95% CI = 1.024-2.665). Survival analysis of VEGF in GSE14520 cohort also demonstrated that VEGF mRNA expression also significantly associated with HBV-related HCC OS (adjusted P=0.035, adjusted HR =1.651, 95% CI =1.035-2.634). The prospective molecular mechanisms by co-expression analysis suggested that VEGF might be correlated to regulation of cell proliferation, cell growth and apoptotic process, Rap1 signaling pathway, HIF-1 signaling pathway, PPAR signaling pathway, cell cycle. Whereas the GSEA suggested that VEGF might involve in the regulation of HIF and HIF1A pathway, and TP53 regulation pathway. Conclusion: Our findings suggested that VEGF might be a prognostic indicator of HBV-related HCC, and we also identified the VEGF prospective molecular mechanisms through the whole genome co-expression and GSEA approaches.

Diagnostic and prognostic biomarkers of Human Leukocyte Antigen complex for hepatitis B virus-related hepatocellular carcinoma

Background: Hepatitis B virus infection had been identified its relationship with liver diseases, including liver tumors. We aimed to explore diagnostic and prognostic values between the Human Leukocyte Antigen (HLA) complex and hepatocellular carcinoma (HCC).

Methods: We used the GSE14520 dataset to explore diagnostic and prognostic significance between HLA complex and HCC. A nomogram was constructed to predict survival probability of HCC prognosis. Gene set enrichment analysis was explored using gene ontologies and metabolic pathways. Validation of prognostic values of the HLA complex was performed in the Kaplan-Meier Plotter website.

Results: We found that HLA-C showed the diagnostic value (P <0.0001, area under curve: 0.784, sensitivity: 93.14%, specificity: 62.26%). In addition, HLA-DQA1 and HLA-F showed prognostic values for overall survival, and HLA-A, HLA-C, HLA-DPA1 and HLA-DQA1 showed prognostic values for recurrence-free survival (all P ≤ 0.05, elevated 0.927, 0.992, 1.023, 0.918, 0.937 multiples compared to non-tumor tissues, respectively). Gene set enrichment analysis found that they were involved in antigen processing and toll like receptor signalling pathway, etc. The nomogram was evaluated for survival probability of HCC prognosis. Validation analysis indicated that HLA-C, HLA-DPA1, HLA-E, HLA-F and HLA-G were associated with HCC prognosis of overall survival (all P ≤ 0.05, elevated 0.988 and 0.997 multiples compared to non-tumor tissues, respectively).

Conclusion: HLA-C might be a diagnostic and prognostic biomarker for HCC. HLA-DPA1 and HLA-F might be prognostic biomarkers for HCC.

Deep Convolutional Neural Network-Based Positron Emission Tomography Analysis Predicts Esophageal Cancer Outcome

In esophageal cancer, few prediction tools can be confidently used in current clinical practice. We developed a deep convolutional neural network (CNN) with 798 positron emission tomography (PET) scans of esophageal squamous cell carcinoma and 309 PET scans of stage I lung cancer. In the first stage, we pretrained a 3D-CNN with all PET scans for a task to classify the scans into esophageal cancer or lung cancer. Overall, 548 of 798 PET scans of esophageal cancer patients were included in the second stage with an aim to classify patients who expired within or survived more than one year after diagnosis. The area under the receiver operating characteristic curve (AUC) was used to evaluate model performance. In the pretrain model, the deep CNN attained an AUC of 0.738 in identifying patients who expired within one year after diagnosis. In the survival analysis, patients who were predicted to be expired but were alive at one year after diagnosis had a 5-year survival rate of 32.6%, which was significantly worse than the 5-year survival rate of the patients who were predicted to survive and were alive at one year after diagnosis (50.5%, p < 0.001). These results suggest that the prediction model could identify tumors with more aggressive behavior. In the multivariable analysis, the prediction result remained an independent prognostic factor (hazard ratio: 2.830; 95% confidence interval: 2.252–3.555, p < 0.001). We conclude that a 3D-CNN can be trained with PET image datasets to predict esophageal cancer outcome with acceptable accuracy.

[Association between Lipoprotein(a) and the characteristics of left main coronary artery plaque in patients with stable angina pectoris]

Objective: To investigate the relationship between Lipoprotein (LP) (a) level and the characteristics of tissue components of left main coronary artery (LMCA) plaque. Methods: A total of 102 patients with stable angina pectoris who underwent percutaneous coronary intervention (PCI) in the People's Hospital of Henan Province from June 2010 to October 2016 were included. We performed intravascular ultrasound-virtual histology (IVUS-VH) to their LMCAs and evaluated the tissue characteristics, and the blood level of total cholesterol (TC), triacylglycerol (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), ApoB, ApoA1, LP(a) were measured. According to the value of their LP(a) level they were divided into 2 groups (high LP(a) group (>300 mg/L) (n=35) and low LP(a) group (≤300 mg/L) (n=67)), then the relationship between the above lipid values and the tissue characteristics of the LMCA plaque in the patients were evaluated. Results: Patients with a high LP(a) had a larger percentage of fibrolipid volume and a smaller percentage fibrous volume compared to patients with a normal LP(a) (25%±5% vs 13%±6%, P<0.01 and 50%±8% vs 61%±9%, P<0.01). Using multivariate linear regression analysis after adjustment for the above-mentioned confounding factors, LP(a) had a significantly positive correlation with fibrolipid volume percentage (r=0.645, β=0.29, P<0.01), and had a negative correlation with fibrous volume percentage (r=-0.467, β=-0.32,P<0.01), suggesting that the LP(a) was associated with the vulnerability of the LMCA plaque. Conclusion: For the patients with stable angina pectoris, the LP(a) has a significantly positive correlation with the percentage of fibrolipid volume and a negative correlation with the percentage of fibrous volume, suggesting that the LP(a) could predict the vulnerability of the LMCA plaque.

[Association between the ApoB/A1 ratio and the vulnerability of LMCA plaque in the patients with stable angina pectoris]

Objective: To investigate the relationship between ApoB/A1 ratio and the characteristics of tissue components of their left main coronary artery(LMCA)plaque. Methods: A total of 98 patients with stable angina pectoris who received chronic statin treatment underwentpercutaneous coronary intervention in the People's Hospital of Henan Province from June 2010 to June 2016 were included.We prospectively performed intravascular ultrasound virtualhistology (IVUS-VH) to their LMCA and evaluated the tissue characteristics, and the blood level of total cholesterol (TC) and low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), triglyceride(TG), LDL-C/HDL-C ratio, ApoB, ApoA1, ApoB/A1 ratio were measured, then the association of the tissue characteristics with the aboved lipids values were analyzed. Results: According to the median value of their ApoB/A1ratios (0.80), they were divided into 2 groups [high ApoB/A1 ratio (>0.80) (n=49) and low ApoB/A1 ratio (≤0.80) (n=49)]. The patients with a high ApoB/A1 ratio had alarger fibrolipid volume and a smaller fibrous volume compared to patients with a low ApoB/A1 ratio ( 17.5%±1.2% vs 9.0%±1.0%, P=0.03 and 55.1%±2.1% vs 63.9%±1.8%, P<0.01). Using multivariate linear regression analysis after adjustment for the above-mentioned confounding factors, the ApoB/A1 ratio had a significantly positive correlation with fibrolipid volume (r=0.445, β=0.29, P=0.010)and had a negative correlation with fibrous volume (r=-0.567, β=-0.32, P=0.011), suggesting that the ApoB/A1 ratio was associated with the vulnerability of the LMCA plaque. Conclusion: For the patients with stable angina pectoris and chronic treatment of statins, a high ApoB/A1 ratio is associated with a high percentage of fibrolipid volume and a low percentage of fibrous volume in LMCA lesions, suggesting that the ApoB/A1 ratios could predict the vulnerability of the LMCA plaque.

Genome-Wide Association Study of MKI67 Expression and its Clinical Implications in HBV-Related Hepatocellular Carcinoma in Southern China

BACKGROUND/AIMS

Hepatocellular carcinoma (HCC) is a common malignant tumor with a high rate of recurrence. Immunohistochemical analysis of the marker of proliferation Ki-67 (MKI67) is used to assess proliferation activity of HCC The regulation of MKI67 expression remains unclear in HCC This study aims to explore the association between MKI67 expression and gene variants.

METHODS

A total of 195 hepatitis B virus (HBV)-related HCC patients were genotyped using Illumina HumanExome BeadChip-12-1_A (242,901 markers). An independent cohort (97 subjects) validated the association of polymorphism determinants and candidate genes with MKI67 expression. The relationships between MKI67 with p53 and variants of candidate genes in the clinical outcomes of HCC patients were analyzed.

RESULTS

We found that MKI67 combined with p53 was associated with a 3-year recurrence-free survival and five variants near TTN and CCDC8 were associated with MKI67 expression. TTN harboring rs2288563-TT and rs2562832-AA+CA indicated a favorable outcome for HCC patients.

CONCLUSION

Variants near TTN and CCDC8 were associated with MKI67 expression, and rs2288563 and rs2562832 in TTN are potential biomarkers for the prediction of clinical outcomes in HBV-related HCC patients.

The trifecta outcome in 300 consecutive cases of robotic-assisted laparoscopic radical prostatectomy according to D'Amico risk criteria

BACKGROUND

To analyze the trifecta outcome (continence, potency, and cancer control) in 300 cases of robotic-assisted laparoscopic radical prostatectomy (RARP).

METHODS

A prospective assessment of outcomes in 300 consecutive patients that underwent a RARP performed by a single surgeon. Patients were grouped according to D'Amico risk criteria: Group I consisted of 'low-risk' cases (n = 64), Group II consisted of 'intermediate-risk' cases (n = 88), and Group III consisted of 'high-risk' cases (n = 148). Patients were evaluated for perioperative complications and the trifecta outcome.

RESULTS

The operation time, blood loss, post-operative stay, duration of urethral catheterization, and perioperative complication rate were similar among all groups. The incidence of bilateral neurovascular bundle (NVB) preservation was significantly decreased with the increasing risk of cases (P < 0.001). The continence rates at the 1-week, 1-month, 3-month, 6-month, and 12-month follow-ups did not differ significantly between groups. The potency rates at the 12-month follow-up were not significantly different. The positive surgical margin and positive lymph node metastasis rate increased with the increasing risk of cases (P < 0.001). The biochemical recurrence rate (BCR, PSA >0.2 ng/mL) was 3.1, 11.36, and 19.59% in Groups I, II and III, respectively (P = 0.004). The trifecta outcome for RARP with bilateral NVB preservation showed no significant differences among groups.

CONCLUSIONS

Undergoing a RARP is safe and feasible in high-risk prostate cancer patients. Compared to low-risk and intermediate-risk groups, the high-risk group had a significant higher incidence of positive surgical margin, positive lymph node metastasis, and BCR rate.

SUMOylation of ZFP282 potentiates its positive effect on estrogen signaling in breast tumorigenesis

Estrogen receptor α (ERα) has critical roles in the development and progression of breast cancer, and the coiled-coil co-activator (CoCoA) is an important ERα co-activator for estrogen-induced gene expression. The small ubiquitin-like modifier (SUMO) pathway is hyperactivated in breast cancer, but the mechanism by which SUMOylation regulates ERα-mediated transcription remains poorly understood. Here, we identified ZFP282 as a CoCoA-binding protein. ZFP282 associates directly with ERα and cooperates synergistically with CoCoA to enhance ERα function. ZFP282 is required for estrogen-induced expression of ERα target genes and estrogen-dependent breast cancer cell growth and tumorigenesis. In addition, we found that ZFP282 is SUMOylated and that SUMOylation positively regulates the co-activator activity of ZFP282 by increasing its binding affinity to ERα and CoCoA, and consequently increasing recruitment of ZFP282-CoCoA complex to the promoter of ERα target genes. These findings reveal essential roles for ZFP282 and its SUMOylation in estrogen signaling and breast tumorigenesis.

Sociopsychiatric characteristics of adolescents who use computers to excess

OBJECTIVE

This study attempted to investigate current computer use by Korean adolescents, consequences of its excessive use and its relationship to psychiatric symptoms.

METHOD

Questions for computer use, Computer-Related Addictive Behavior Inventory (CRABI), computer-induced behavioral alterations and Symptom Checklist-90-Revision (SCL-90-R) were assessed in 1296 students (12-19 years).

RESULTS

Students were divided into three group users: minimal users (63.4%), moderate users (30.5%) and excessive users (6.1%). Computer-induced behavioral alterations occurred most frequently to excessive users and it was significantly correlated with total CRABI score. Average score on nine symptom dimensions and three global indexes of SCL-90-R were able to discriminate four decreasing orders of subjective psychiatric complaints: most frequent in excessive users and then moderate, non- and mild users, in order.

CONCLUSION

Those adolescents with excessive computer use were found to show serious sociopsychiatric problems.

Microbial ecology of soils surrounding nuclear and thermal power plants in Taiwan

This paper reports a study of the effect of three nuclear and one thermal power plants on the microbial ecology of soils. Populations of bacteria, actinomycetes, fungi, cellulolytic microbes, phosphate-solubilizing microbes and nitrogen-fixing microbes in the soil in the vicinity of each plant were studied. Soils were acidic at three sites, and moisture contents of the power plant soils were lower than those of the surrounding areas. Microbial populations of the topsoils (0-20 cm deep) were higher than the subsoils (21-40 cm deep), and only 10-15% of them showed significant difference (P < .05). Thirty-three percent of the samples from the surrounding areas had higher microbial population than those from the power plant areas, but 19% was the reverse. Populations of cellulolytic, phosphate-solubilizing and nitrogen-fixing microbes varied with sampling locations, season and environmental conditions. Ratios of cellulolytic, phosphate-solubilizing and nitrogen-fixing microbes to total viable counts in some samples of the surrounding areas were significantly higher than in the power plant areas. Although the microbial populations of power plant soil and its surrounding area were somewhat different, it cannot be attributed as an effect of power plant operation, as the differences were not consistent.

[The effect of thermal power plant on microbial ecology and environmental quality]

To investigate the effect of thermal power plant on the microbial ecology and the environmental quality, the Hsieh-Ho Thermal Power Plant was chosen and the populations of microbes including bacteria, actinomycetes, fungi, and cellulolytic, phosphate-solubilizing and nitrogen-fixing microbes were selected as the parameters of microbial ecology. The pH values of the soil sample collected from inside and outside of the plant were 5.2-6.2 and 4.0-5.3, respectively. Moisture content in plant area was lower than that in the surrounding area. Microbial populations of the topsoils were higher than those of the subsoils. Each gram of soil contained 3.64 x 10(4)-5.16 x 10(7) colonies of bacteria, 1.75 x 10(3)-1.10 x 10(6) colonies of actinomycetes and 6.72 x 10(3)-8.78 x 10(6) colonies of fungi in the plant area; while they were 5.52 x 10(4)-2.14 x 10(7), 8.26 x 10(3)-7.25 x 10(5) and 3.49 x 10(3)-2.74 x 10(6) colonies of bacteria, actinomycetes and fungi, respectively, in the surrounding area. The effect of seasonal change on microbial populations was not significant. The ratio of cellulolytic, phosphate-solubilizing and nitrogen-fixing microbes to the total count in the plant area was also higher than that in the surrounding area, and some of them had significant differences. From the statistical analysis, the effect of thermal power generator on the population and distribution of microbes was significantly different.

[Management of ipsilateral femoral shaft and neck fracture]

From Oct. 1987 to Oct. 1993, 704 patients with femoral shaft fracture were managed at our hospital. Among these, 12 patients were with combined femoral shaft and neck fracture (2%). The age ranged from 17 years to 58 years (average 38.2 years). Eleven patients were victims of traffic accidents and another 1 fell from a height. Most of them had associated injuries, including fractures elsewhere, head injury, chest and abdominal trauma. Five of them were treated with open reduction and internal fixation with Huckstep intramedullary nail, 2 with Kuntscher nail and Knowles' pin, 2 with plate and compression hip screw, 2 with plate and Knowles' pin and one patient was managed with Kuntscher nail and traction. Ten patients were followed up for more than 3 years, and the other 2 lost follow-up at 5 months and 12 months. The fractures were all united with 2 malunions. Complications included 3 deep infections and one avascular necrosis.

[Modified selective medium for isolation of Helicobacter pylori]

To improve the detection rate of Helicobacter pylori, many kinds of media were tried and other antibiotics were incorporated according to the antimicrobial susceptibility patterns of clinical isolates in our hospital. We found that brain heart infusion agar supplemented with 1% IsoVitaleX and 5% sheep blood, containing nalidixic acid 10 micrograms/ml, vancomycin 6 micrograms/ml, amphotericin B 2 micrograms/ml and polymixin B 16 micrograms/ml (BNVP) or colistin 5 micrograms/ml (BNVC) inhibited the growth of contaminants without significant influence on the growth of H. pylori. However, colonies of primary isolates of H. pylori on BNVP media were larger than those on BNVC media, and easier to detect, Both BNVP and BNVC media yielded the same isolation rate. The organism was isolated from 67 of 91 endoscopic biopsy specimens (73.6%) obtained from the area of peptic ulcers, and from 37 of 125 specimens obtained from the area without lesion. The data were much superior to those in the early day, when the organism was only isolated from 6 of the 27 specimens (22%) obtained from patients with peptic ulcer disease. Because the contaminants and their antimicrobial susceptibility patterns may be varied in different hospitals, it is mandatory to modify selective media suitable for recovering H. pylori.

Isolation, chemical structure, acute toxicity, and some physicochemical properties of territrem C from Aspergillus terreus

Territrem C, a new tremorgenic mycotoxin (C28H32O9; molecular weight, 512.20) was isolated from the chloroform extract of rice cultures of Aspergillus terreus 23-1, which also produces territrems A and B. Isolation, acute toxicity, and some physicochemical properties of territrem C are discussed in this paper. The spectral and chemical evidence indicated that the structural difference between territrem C and territrem B (C29H34O9) was in their phenyl moieties: a 4-hydroxy-3,5-dimethoxy phenyl group in territrem C and a 3,4,5-trimethoxy phenyl group in territrem B. It was also demonstrated that territrem B was obtained by methylation of territrem C with dimethyl sulfate.

Solvent systems for improved isolation and separation of territrems A and B

Territrems A and B, tremorgenic mycotoxins in the rice culture of Aspergillus terreus, were extracted with hot chloroform. The toxins were cleaned on a silica gel column by direct adsorption-concentration of the extracts followed by desorption with chloroform-acetone (9:1, vol/vol). Crude toxin mixtures were separated by silica gel column chromatography and eluted with benzene-ethyl acetate (65:35, vol/vol). The method gave 112 mg of territrem A, 379 mg of territrem B, and 80 mg of their mixture from 4 kg of rice per batch. The criteria of extraction, cleanup, and separation are provided.

A simulation study of motion artefacts in computed tomography

In order to increase understanding of artefacts caused by patient motion in computed tomography, rigid translational and rotational motions in the plane of reconstruction have been considered. Motion artefacts were simulated on a digital computer and demonstrated in actual CT scans of a phantom. The types of motion artefacts observed included streaking, boundary splitting and subtle distortions of shape. A method for removing artefacts from a CT image without rescanning the patient is discussed, and some examples of possible improvement are shown using the simulation model. It is assumed that perfect knowledge of patient motion is known since this represents the theoretical limit on possible improvement to the degraded image. A qualitative discussion of streaking, the most common type of motion artefact, is also included.

Territrems, tremorgenic mycotoxins of Aspergillus terreus

The tremorgenic mycotoxins isolated from Aspergillus terreus were given the trivial names territrem A and B instead of their previous designations of C1 and C2 respectively. High-resolution mass spectral data suggested the molecular formula of territrem A to be C28H30O9 and that of territrem B,C29H34O9. They were partially characterized by ultraviolet, infrared, proton magnetic resonance, and mass spectroscopy. The spectroscopic evidence indicated that their chemical structures were very similar. The procedures of purification were also revised for the complete separation of these two chemically related compounds.

Differentiation of aflatoxins from territrems

Three methods were adopted for differentiation of aflatoxins B1 and B2 from territrems A and B. They were as follows. (i) Then-layer chromatography coupled with chemical confirmation. A significant decrease in the Rf value of trifluoroacetic acid-treated aflatoxin B1 developed in chloroform-acetone (85:15, vol/vol) was satisfactory in differentiating this toxin from the other three. (ii) High-pressure liquid chromatography monitored synchronously at two wavelengths, 365 and 335 nm. The ratio derived from this double-wavelengh detection could serve as an indicator of the presence of each toxin. (iii) Velasco's flurotoxin meter method, which is used for the determination of aflatoxins within the range of 0 to 50 ng/ml, was not significantly affected by territrems even when they were present in quantities at the microgram-per-milliliter level.