Distinguished denitrifying phosphorus removal in the high-rate anoxic/microaerobic system for sewage treatment.

This study re-evaluated the role of anoxic and anaerobic zones during the enhanced biological phosphorus (P) removal process by investigating the potential effect of introducing an anoxic zone into a high-rate microaerobic activated sludge (MAS) system (1.60-1.70 kg chemical oxygen demand (COD) m-3 d-1), i.e., a high-rate anoxic/microaerobic (A/M) system for sewage treatment. In the absence of a pre-anaerobic zone, introducing an anoxic zone considerably reduced effluent NOx--N concentrations (7.2 vs. 1.5 mg L-1) and remarkably enhanced total nitrogen (75% vs. 89%) and total P (18% vs. 60%) removal and sludge P content (1.48% vs. 1.77% (dry weight)) due to further anoxic denitrifying P removal in the anoxic zone (besides simultaneous nitrification and denitrification in the microaerobic zone). High-throughput pyrosequencing demonstrated the niche differentiation of different polyphosphate accumulating organism (PAO) clades (including denitrifying PAO [DPAO] and non-DPAO) in both systems. Introducing an anoxic zone considerably reduced the total PAO abundance in sludge samples by 42% and modified the PAO community structure, including 17-19 detected genera. The change was solely confined to non-DPAOs, as no obvious change in total abundance or community structure of DPAOs including 7 detected genera was observed. Additionally, introducing an anoxic zone increased the abundance of ammonia-oxidizing bacteria by 39%. The high-rate A/M process provided less aeration, higher treatment capacity, a lower COD requirement, and a 75% decrease in the production of waste sludge than the conventional biological nutrient removal process.

A case of lethal suicidal intoxication with propafenone and diazepam.

Diazepam poisoning is a common emergency situation, but propafenone poisoning is relatively rare. We reported a case of propafenone poisoning combined with diazepam. An 18-year-old female patient was admitted to our hospital with an overdose of oral propafenone and diazepam. The patient was treated with medication that proved to be useful, but the sinus rhythm could not be recovered, and cardiac arrest occurred. A bipolar temporary pacemaker and extracorporeal membrane oxygenation (ECMO) were installed. However, even with multiple electrode positions, effective capture could not be achieved. The patient eventually died. We should be alert to the possibility of co-poisoning.

The Application of Aptamer and Research Progress in Liver Disease.

Aptamers, as a kind of small-molecule nucleic acid, have attracted much attention since their discovery. Compared with biological reagents such as antibodies, aptamers have the advantages of small molecular weight, low immunogenicity, low cost, and easy modification. At present, aptamers are mainly used in disease biomarker discovery, disease diagnosis, treatment, and targeted drug delivery vectors. In the process of screening and optimizing aptamers, it is found that there are still many problems need to be solved such as the design of the library, optimization of screening conditions, the truncation of screened aptamer, and the stability and toxicity of the aptamer. In recent years, the incidence of liver-related diseases is increasing year by year and the treatment measures are relatively lacking, which has attracted the people's attention in the application of aptamers in liver diseases. This article mainly summarizes the research status of aptamers in disease diagnosis and treatment, especially focusing on the application of aptamers in liver diseases, showing the crucial significance of aptamers in the diagnosis and treatment of liver diseases, and the use of Discovery Studio software to find the binding target and sequence of aptamers, and explore their possible interaction sites.

Distinguished denitrifying phosphorus removal in the high-rate anoxic/microaerobic system for sewage treatment.

This study re-evaluated the role of anoxic and anaerobic zones during the enhanced biological phosphorus (P) removal process by investigating the potential effect of introducing an anoxic zone into a high-rate microaerobic activated sludge (MAS) system (1.60-1.70 kg chemical oxygen demand (COD) m-3 d-1), i.e., a high-rate anoxic/microaerobic (A/M) system for sewage treatment. In the absence of a pre-anaerobic zone, introducing an anoxic zone considerably reduced effluent NOx--N concentrations (7.2 vs. 1.5 mg L-1) and remarkably enhanced total nitrogen (75% vs. 89%) and total P (18% vs. 60%) removal and sludge P content (1.48% vs. 1.77% (dry weight)) due to further anoxic denitrifying P removal denitrification in the anoxic zone (besides simultaneous nitrification and denitrification in the microaerobic zone). High-throughput pyrosequencing demonstrated the niche differentiation of different polyphosphate accumulating organism (PAO) clades (including denitrifying PAO [DPAO] and non-DPAO) in both systems. Introducing an anoxic zone considerably reduced the total PAO abundance in sludge samples by 42% and modified the PAO community structure, including 17-19 detected genera. The change was solely confined to non-DPAOs, as no significant change in total abundance or community structure of DPAOs including seven detected genera was observed. Additionally, introducing an anoxic zone increased the abundance of ammonia-oxidizing bacteria by 39%. The high-rate A/M process provided less aeration, higher treatment capacity, a lower COD requirement, and a 75% decrease in the production of waste sludge than the conventional biological nutrient removal process.

Amide proton transfer-weighted MRI features of acute ischemic stroke subtypes.

Stroke is a highly heterogeneous disorder with distinct subtypes, and the stroke subtype influences the outcome. Amide proton transfer-weighted (APTW) MRI has been demonstrated to be promising in stroke patients, but the image characteristics of stroke subtypes have not been sufficiently investigated. The purpose of this study was to investigate the APTW MRI features of different subtypes of acute ischemic stroke (AIS). Ninety-two AIS patients presenting within 96 h of symptom onset were enrolled and examined with a 3.0-T MRI system. Patients were grouped into four subtypes: lacunar circulation infarcts (LACI, n = 33); total anterior circulation infarcts (TACI, n = 9); partial anterior circulation infarcts (PACI, n = 28); and posterior circulation infarcts (POCI, n = 22). APTW values in the lesion (APTWlesion ) and the contralateral normal-appearing region (APTWcontral ) were measured. The change in APTW values between the acute ischemic lesion and the contralateral normal-appearing region (APTWles-con ) was calculated. A two-sample t-test, one-way ANOVA, and the Chi-square method were used. There were significant differences between APTWlesion and APTWcontral in the three categories of nonlacunar strokes (TACI, PACI, and POCI, all p < 0.01), but not for lacunar strokes (LACI, p = 0.080). TACI patients had the lowest APTWlesion and APTWles-con in all groups (p < 0.05). In the POCI group, patients with supratentorial infarcts showed significant differences between APTWlesion and APTWcontral (p = 0.001), while the differences were not significant for infratentorial infarcts (p = 0.135). Our results suggest that the APT effect was heterogeneous in different stroke subtypes, and that APTW MRI gave an excellent performence in depicting nonlacunar AIS in supratentorial locations.

Metabolic reprogramming of renal epithelial cells contributes to lithium-induced nephrogenic diabetes insipidus.

Lithium, mainstay treatment for bipolar disorder, frequently causes nephrogenic diabetes insipidus (NDI) and renal injury. However, the detailed mechanism remains unclear. Here we used the analysis of metabolomics and transcriptomics and metabolic intervention in a lithium-induced NDI model. Mice were treated with lithium chloride (40 mmol/kg chow) and rotenone (ROT, 100 ppm) in diet for 28 days. Transmission electron microscopy showed extensive mitochondrial structural abnormalities in whole nephron. ROT treatment markedly ameliorated lithium-induced NDI and mitochondrial structural abnormalities. Moreover, ROT attenuated the decrease of mitochondrial membrane potential in line with the upregulation of mitochondrial genes in kidney. Metabolomics and transcriptomics data demonstrated that lithium activated galactose metabolism, glycolysis, and amino sugar and nucleotide sugar metabolism. All these events were indicative of metabolic reprogramming in kidney cells. Importantly, ROT ameliorated metabolic reprogramming in NDI model. Based on transcriptomics analysis, we also found the activation of MAPK, mTOR and PI3K-Akt signaling pathways and impaired focal adhesion, ECM-receptor interaction and actin cytoskeleton in Li-NDI model were inhibited or attenuated by ROT treatment. Meanwhile, ROT administration inhibited the increase of Reactive Oxygen Species (ROS) in NDI kidneys along with enhanced SOD2 expression. Finally, we observed that ROT partially restored the reduced AQP2 and enhanced urinary sodium excretion along with the blockade of increased PGE2 output. Taken together, the current study demonstrates that mitochondrial abnormalities and metabolic reprogramming play a key role in lithium-induced NDI, as well as the dysregulated signaling pathways, thereby serving as a novel therapeutic target.

The roles of ETS transcription factors in liver fibrosis.

E26 transformation specific or E twenty-six (ETS) protein family consists of 28 transcription factors, five of which, named ETS1/2, PU.1, ERG and EHF, are known to involve in the development of liver fibrosis, and are expected to become diagnostic markers or therapeutic targets of liver fibrosis. In recent years, some small molecule inhibitors of ETS protein family have been discovered, which might open up a new path for the liver fibrosis therapy targeting ETS. This article reviews the research progress of ETS family members in the development liver fibrosis as well as their prospect of clinical application.

[Retrospective observation and analysis of autoimmune-related indicators in 317 patients with acute Omicron variant infection].

OBJECTIVE: To compare the changes of clinical characteristics and immune-related indicators of patients with mild and moderate acute Omicron variant infection, and to evaluate the protective effect of coronavirus disease 2019 (COVID-19) vaccination. METHODS: The study retrospectively analyzed the clinical characteristics of 317 adult patients diagnosed with COVID-19 Omicron variant (B1.1.529) infection admitted to Tianjin First Central Hospital (Shuixi District) from January 22, 2022 to February 24, 2022. Demographic characteristics, vaccination status, underlying diseases, epidemiological characteristics, baseline data, and relevant laboratory test results on admission were collected, and the differences in clinical characteristics, especially the changes in immune-related indicators, between mild and moderate patients were compared and analyzed. RESULTS: Among the 317 adult patients with acute Omicron variant infection, the proportion of elderly, hypertension, diabetes, and cardiovascular or cerebrovascular diseases were significantly higher in moderate group (203 cases) than those of mild group (114 cases) [age ≥ 60 years old: 27.58% (56/203) vs. 9.65% (11/114), hypertension: 31.03% (63/203) vs. 19.30% (22/114), diabetes: 15.76% (32/203) vs. 7.89% (9/114), cardiovascular and cerebrovascular diseases: 11.33% (23/203) vs 0.88% (1/114), all P < 0.05]. The route of transmission was mainly through gatherings and the first symptoms were fever, dry cough, fatigue, sore throat, nasal congestion, runny nose and other flu symptoms; 19.30% (22/114) and 24.63% (50/203) of patients in mild and moderate groups were positive for the new coronavirus nucleic acid test, respectively, but the difference was not significant difference (P > 0.05). Inflammatory indicators in most mild and moderate patients were within normal range, such as white blood cell count (WBC), neutrophil ratio (NEU%), lymphocyte count (LYM), C-reactive protein (CRP), procalcitonin (PCT), and interleukin-6 (IL-6), etc., suggesting that the acute phase of Omicron variant infection had not yet caused severe inflammatory storm, which might be related to the weakening of pathogenicity after vaccination and virus mutation. The proportion of patients with IL-6 > 7 ng/L in the mild group was significantly lower than that in the normal group [1.75% (2/114) vs. 6.40% (13/203), P < 0.05], suggesting that elevated IL-6 might be an important factor in evaluating indicators of disease severity. There was no significant difference in lymphocyte subsets between the two groups, but there were 12.90% (12/93) and 11.04% (17/154) of the patients in two groups, respectively, decreased in the proportion of helper T cells, and 18.28% (17/93) and 14.28% (22/154) of the patients had elevated CD4+/CD8+ ratio, suggesting that patients with Omicron variant infection had autoimmune system dysfunction, which might be related to disease progression and the occurrence of long-term autoimmune disease. CONCLUSIONS: Serum IL-6 level may be used as a predictor for evaluating the severity of disease in patients with Omicron variant infection; after vaccination, inflammatory indicators in patients with acute Omicron variant infection were significantly reduced, but the long-term effects still require long-term follow-up observation.

Diagnostic Value of Artificial Intelligence Based on CT Image in Benign and Malignant Pulmonary Nodules.

Objective: To evaluate the diagnostic value of artificial intelligence-assisted CT imaging in benign and malignant pulmonary nodules. Methods: The CT scan screening of pulmonary nodules from November 2018 to November 2020 was retrospectively collected. The diagnosis of pulmonary nodules and surgical treatment were performed. A total of 194 nodules in 152 patients with clear pathological results were observed. All patients underwent CT examination to analyze the consistency of the results of artificial intelligence, physician reading according to imaging features, multidisciplinary team work (MDT) diagnosis, and postoperative pathological results; the diagnostic efficacy of different diagnostic methods for solitary pulmonary nodules and the differences of ROC curve and AUC were analyzed. The accuracy, specificity, sensitivity, positive predictive value, negative predictive value, false negative rate, and false positive rate of different diagnostic methods for pulmonary nodules were calculated, and the ROC curves of different diagnostic methods were plotted. Results: The accuracy, sensitivity, specificity, and Youden index of artificial intelligence (AI) were 89.69%, 92.98%, 65.22%, and 58.20%; the accuracy, sensitivity, specificity, and Youden index of physician reading were 85.57%, 88.30%, 65.22%, and 53.52%; the accuracy, sensitivity, specificity, and Youden index of MDT were 96.91%, 98.25%, 86.96%, and 85.21%, respectively. The kappa values of artificial intelligence, physician reading, and MDT were 0.541, 0.437, and 0.852, and the AUC was 0.768, 0.791, and 0.926, respectively (P < 0.001). The average detection time of pulmonary nodules in the AI group, manual reading group, and MAT group was (145 ± 97) s, (534 ± 297) s, and (421 ± 128) s (P < 0.001). Conclusion: Artificial intelligence pulmonary nodule detection system can improve the coincidence rate and accuracy of early diagnosis of lung cancer, shorten the average detection time, and provide more accurate information for clinical decision-making.

A Practical Deep Learning Model in Differentiating Pneumonia-Type Lung Carcinoma from Pneumonia on CT Images: ResNet Added with Attention Mechanism.

OBJECTIVE: We aim to develop a deep neural network model to differentiate pneumonia-type lung carcinoma from pneumonia based on chest CT scanning and evaluate its performance. MATERIALS AND METHODS: We retrospectively analyzed 131 patients diagnosed with pneumonia-type lung carcinoma and 171 patients with pneumonia treated in Beijing Hospital from October 2019 to February 2021. The average age was 68 (±15) years old, and the proportion of men (162/302) was slightly more than that of women (140/302). In this study, a deep learning based model UNet was applied to extract lesion areas from chest CT images. Lesion areas were extracted and classified by a designed spatial attention mechanism network. The model AUC and diagnostic accuracy were analyzed based on the results of the model. We analyzed the accuracy rate, sensitivity, and specificity and compared the results of the model to the junior and senior radiologists and radiologists based on the model. RESULTS: The model has a good efficiency in detecting pneumonia-like lesions (6.31 seconds/case). The model accuracy rate, sensitivity, and specificity were 74.20%, 60.37%, and 89.36%, respectively. The junior radiologist's accuracy rate, sensitivity, and specificity were 61.00%, 48.08%, and 75.00%, respectively. The senior radiologist's accuracy rate, sensitivity, and specificity were 65.00%, 51.92%, and 79.17%, respectively. The results of junior radiologists based on the model were improved (76.00% for accuracy rate, 62.75% for sensitivity, and 89.80% for specificity). The results of senior radiologists based on the model were also improved (78.00% for accuracy rate, 64.71% for sensitivity, and 91.84% for specificity) and the diagnostic accuracy of which was statistically higher than other groups (P < 0.05). Based on the lesion texture diversity and the lesion boundary ambiguity, the algorithm produced false-positive samples (13.51%). CONCLUSION: This deep learning model could detect pneumonia-type lung carcinoma and differentiate it from pneumonia accurately and efficiently.

Application Value of Spectral CT Imaging in Quantitative Analysis of Early Lung Adenocarcinoma.

Objective: To investigate the clinical value of gemstone energy spectral CT imaging for the quantitative analysis of early lung adenocarcinoma. Methods: 76 cases of pulmonary ground-glass nodules pathologically confirmed as precancerous lesion and early lung cancer (including pure ground-glass nodules in 46 cases and mixed ground-glass nodules in 30 cases) underwent chest CT scan first and then underwent contrast-enhanced gemstone energy spectral CT to get arterial phase images, venous phase images, and delayed phase images. All the lesions were set the region of interest (ROI). Cases of the pure ground-glass nodule (pGGN) were measured at the maximum level of lesions, cases of the mixed ground-glass nodule (mGGN) were measured in two areas of ground-glass and solid components, CT value and iodine concentrations of lesions in three-phase scanning were separately measured, and at the same time, iodine concentrations of the thoracic aorta were also measured. The normalized iodine concentrations (NICs) were calculated, that is, the ratio of iodine concentrations of lesions and the thoracic aorta. CT values of lesions were also measured at each stage of 70 keV. All the quantitative data were expressed by the mean ± standard deviation, and paired t-test was used for pairwise comparison. Results: In 76 cases, in the spectral CT imaging mode, the NIC value of solid components of the GGN was 0.33 ± 0.16 in the arterial phase (AP), 0.52 ± 0.25 in the venous phase (VP), and 0.58 ± 0.34 in the delayed phase (DP). There were significant differences of P values of NICs between each two phases in both solid component cases and the ground-glass component cases in AP/VP, VP/DP, and AP/DP (P < 0.05); there were no statistically significant P values of CT values between each two phases in three-period enhanced CT in both the solid component cases and the ground-glass component cases in AP/VP, VP/DP, and AP/DP (P > 0.05). Conclusion: Gemstone energy spectral CT with quantitative imaging can dynamically reflect the enhancement features of the pulmonary GGN.

Research progress on evodiamine, a bioactive alkaloid of Evodiae fructus: Focus on its anti-cancer activity and bioavailability (Review).

Evodiae fructus (Wu-Zhu-Yu in Chinese) can be isolated from the dried, unripe fruits of Tetradium ruticarpum and is a well-known traditional Chinese medicine that is applied extensively in China, Japan and Korea. Evodiae fructus has been traditionally used to treat headaches, abdominal pain and menorrhalgia. In addition, it is widely used as a dietary supplement to provide carboxylic acids, essential oils and flavonoids. Evodiamine (EVO) is one of the major bioactive components contained within Evodiae fructus and is considered to be a potential candidate anti-cancer agent. EVO has been reported to exert anti-cancer effects by inhibiting cell proliferation, invasion and metastasis, whilst inducing apoptosis in numerous types of cancer cells. However, EVO is susceptible to metabolism and may inhibit the activities of metabolizing enzymes, such as cytochrome P450. Clinical application of EVO in the treatment of cancers may prove difficult due to poor bioavailability and potential toxicity due to metabolism. Currently, novel drug carriers involving the use of solid dispersion techniques, phospholipids and nanocomplexes to deliver EVO to improve its bioavailability and mitigate side effects have been tested. The present review aims to summarize the reported anti-cancer effects of EVO whilst discussing the pharmacokinetic behaviors, characteristics and effective delivery systems of EVO.

Application of diffusion kurtosis tensor MR imaging in characterization of renal cell carcinomas with different pathological types and grades.

BACKGROUND: To probe the feasibility and reproducibility of diffusion kurtosis tensor imaging (DKTI) in renal cell carcinoma (RCC) and to apply DKTI in distinguishing the subtypes of RCC and the grades of clear cell RCC (CCRCC). METHODS: Thirty-eight patients with pathologically confirmed RCCs [CCRCC for 30 tumors, papillary RCC (PRCC) for 5 tumors and chromophobic RCC (CRCC) for 3 tumors] were involved in the study. Diffusion kurtosis tensor MR imaging were performed with 3 b-values (0, 500, 1000s/mm2) and 30 diffusion directions. The mean kurtosis (MK), axial kurtosis (Ka), radial kurtosis (Kr) values and mean diffusity (MD) for RCC and contralateral normal parenchyma were acquired. The inter-observer agreements of all DKTI metrics of contralateral renal cortex and medulla were evaluated using Bland-Altman plots. Statistical comparisons with DKTI metrics of 3 RCC subtypes and between low-grade (Furman grade I ~ II, 22 cases) and high-grade (Furman grade III ~ IV, 8 cases) CCRCC were performed with ANOVA test and Student t test separately. Receiver operating characteristic (ROC) curve analyses were used to compare the diagnostic efficacy of DKTI metrics for predicting nuclear grades of CCRCC. Correlations between DKTI metrics and nuclear grades were also evaluated with Spearman correlation analysis. RESULTS: Inter-observer measurements for each metric showed great reproducibility with excellent ICCs ranging from 0.81 to 0.87. There were significant differences between the DKTI metrics of RCCs and contralateral renal parenchyma, also among the subtypes of RCC. MK and Ka values of CRCC were significantly higher than those of CCRCC and PRCC. Statistical difference of the MK, Ka, Kr and MD values were also obtained between CCRCC with high- and low-grades. MK values were more effective for distinguishing between low- and high- grade CCRCC (area under the ROC curve: 0.949). A threshold value of 0.851 permitted distinction with high sensitivity (90.9%) and specificity (87.5%). CONCLUSION: Our preliminary results suggest a possible role of DKTI in differentiating CRCC from CCRCC and PRCC. MK, the principle DKTI metric might be a surrogate biomarker to predict nuclear grades of CCRCC. TRIAL REGISTRATION: ChiCTC, ChiCTR-DOD-17010833, Registered 10 March, 2017, retrospectively registered, http://www.chictr.org.cn/showproj.aspx?proj=17559 .

Pulmonary emphysema, bullae, and pneumothorax in COVID-19 pneumonia.

In this paper, we described 2 cases with COVID-19 pneumonia, who developed pulmonary emphysema, bullae, and pneumothorax during therapy. In a 48-year-old man with mechanical ventilation, parts of ground glass opacities and consolidations transformed into emphysema and giant bulla, and bilateral pneumothorax were also observed. In a 35-year-old man, localized emphysema and pulmonary bullae were seen in subpleural area in bilateral upper lobes, where no previous lesions were presented. In conclusion, pulmonary emphysema, bullae, and pneumothorax could be complications of COVID-19. On one hand, surgical emphysema in ventilated COVID-19 patients was observed as in SARS patients. On the other hand, more serious destruction of lung parenchyma was found in COVID-19 patients.

Quantitative synthetic MRI for evaluation of the lumbar intervertebral disk degeneration in patients with chronic low back pain.

PURPOSE: To verify the feasibility of synthetic MRI in quantitative evaluation of lumbar intervertebral disk (IVD) degeneration, as compared to the conventional CarrPurcell-Meiboom-Gill (CPMG) T2 mapping approach. METHODS: Twenty-four patients with chronic low back pain participated in this study. Patients underwent routine lumbar MRI, CPMG T2 mapping, and synthetic MRI (MAGiC) acquisition. The degree of IVD degeneration was derived from T2-weighted images according to the Pfirrmann classification. The correlation between two T2 measurements was assessed by Pearson correlation and Bland-Altman analysis. Statistical differences of quantitative values obtained from MAGiC data across different degeneration grades were quantified by one-way ANOVA. ROC curves were used to test the sensitivity and specificity of CPMG and MAGiC T2 measurements for assessing Pfirrmann grading. RESULTS: T2 values obtained from CPMG and MAGiC data exhibited strong positive correlation (r = 0.962, p < 0.01). Significant negative correlations were found between quantitative values (p < 0.05) and the Pfirrmann grading. Quantitative values show significant difference across Pfirrmann grading groups (one-way ANOVA, p < 0.001). Additionally, post-hoc tests show significant differences of T1 and T2 between adjacent groups among grades I-IV (p < 0.05), while the significant differences of PD were only observed between adjacent groups among grades II-IV (p < 0.05). There is no significant difference between AUCs of T2 values obtained from CPMG and MAGiC data in differentiating grade I/ II, grade II/ III and grade III/IV. CONCLUSIONS: The synthetic MRI may be used to provide quantitative biomarkers for assessing the level of lumbar intervertebral disc degeneration.

Distinguishable Prognostic miRNA Signatures of Head and Neck Squamous Cell Cancer With or Without HPV Infection.

Since their discovery in the 1990's, microRNAs (miRNA) have opened up new vistas in the field of cancer biology and are found to have fundamental roles in tumorigenesis and progression. As head and neck squamous cell carcinoma (HNSCC) with positive human papillomavirus (HPV+) is significantly distinct from its HPV negative (HPV-) counterpart in terms of both molecular mechanisms and clinical prognosis, the current study aimed to separately develop miRNA signatures for HPV+ and HPV- HNSCC as well as to explore the potential functions. Both signatures were reliable for the prediction of prognosis in their respective groups. Then Enrichment analysis was performed to predict the potential biological functions of the signatures. Importantly, combining previous studies and our results, we speculated that HPV+ HNSCC patients with low signature score had better immunity against the tumors and enhanced the sensitivity of therapies leading to improved prognosis, while HPV- HNSCC patients with high signature score acquired resistance to therapeutic approaches as well as dysregulation of cell metabolism leading to poor prognosis. Hence, we believe that the identified signatures respectively for HPV+ and HPV- HNSCC, are of great significance in accessing patient outcomes as well as uncovering new biomarkers and therapeutic targets, which are worth further investigation through molecular biology experiments.

Correction to: Differentiation of Malignant and Benign Head and Neck Tumors with Amide Proton Transfer-Weighted MR Imaging.

This article is about head and neck tumor MR imaging and is not within the scope of two National Institutes of Health grants (R0ICA166171, ROICA228188) erroneously listed. Thus, the authors would like to remove the reference to the NIH grants R01CA166171 and R01CA228188 in this article.

Amide proton transfer-weighted MRI for predicting histological grade of hepatocellular carcinoma: comparison with diffusion-weighted imaging.

BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary malignant tumor of the liver, preoperative grading of HCC is of great clinical significance. Amide proton transfer-weighted (APTw) imaging, as a novel contrast mechanism in the field of molecular imaging, provided new diagnostic ideas for the grading of HCC. METHODS: Between May 2017 and April 2018, 32 consecutive patients with pathologically confirmed HCC were enrolled, including 19 high-grade HCCs and 13 low-grade HCCs. DWI and APTw scanning was performed on a 3T MRI scanner. Two observers drew regions of interest independently by referring to the axial T2-weighted imaging, and APTw and apparent diffusion coefficient (ADC) values were obtained. Inter- and intra-observer agreements were assessed with the intraclass correlation coefficients (ICCs). The independent sample t test was used to compare the APTw and ADC values between the high- and low-grade HCC tumor parenchyma. The receiver operating characteristic curve was used to analyze the diagnostic efficacy of high- from low-grade HCC tumors. Spearman correlation analysis was used to assess the relationship between APTw and ADC values and HCC histological grades. RESULTS: There were significant differences between the APTw or ADC values for the high- and low-grade HCCs (P=0.034 and 0.010). Both APTw and DWI had good diagnostic performance in differentiating the high- from the low-grade HCCs, with areas under the curves of 0.814 and 0.745, respectively. Moderate correlations existed between APTw values and histological grades (r=0.534; P=0.002), as well as ADC values and histological grades (r=-0.417; P=0.018). CONCLUSIONS: The APTw imaging is a useful imaging biomarker that complements DWI for the more accurate and comprehensive HCC characterization.

EZH2 promotes invasion and tumour glycolysis by regulating STAT3 and FoxO1 signalling in human OSCC cells.

The enhancer of zeste homolog 2 (EZH2), known as a member of the polycomb group (PcG) proteins, is an oncogene overexpressed in a variety of human cancers. Here, we found that EZH2 correlated with poor survival of oral squamous cell carcinoma (OSCC) patients using immunohistochemistry staining. EZH2 overexpression led to a significant induction in tumour glycolysis, Epithelial-mesenchymal transition (EMT), migration and invasion of OSCC cells. Conversely, silencing of EZH2 inhibited tumour glycolysis, EMT, migration and invasion in OSCC cells. Ectopic overexpression of EZH2 increased phosphorylation of STAT3 at pY705 and decreased FoxO1 expression, and FoxO1 expression was enhanced when inhibiting STAT3. In addition, EZH2 overexpression led to a significant decrease in FoxO1 mRNA levels in nude mice xenograft. These results indicated that regulation of EZH2 might have the potential to be targeted for OSCC treatment.