[Establishment of an indicator system for schistosomiasis transmission risk assessment after transmission interruption in Hubei Province based on the Delphi method]

OBJECTIVE

To establish an indicator system for assessment of schistosomiasis transmission risk after transmission interruption in Hubei Province, so as to provide insights into the precise control of schistosomiasis.

METHODS

The indicator system was preliminarily established based on data collection, literature review, expert interviews. Two rounds of expert consultation were performed. The indicator system was screened based on the importance, operability, sensitivity and comprehensive score of the indicators, and the weights of each indicator were calculated. The credibility of the Delphi method was evaluated by calculating the active coefficient of the experts, degree of expert authority and coordination levels of experts' opinions.

RESULTS

An indicator system for assessment of schistosomiasis transmission risk was preliminarily established, including 3 primary indicators, 12 secondary indicators and 44 tertiary indicators. A Delphi consultation was performed among 17 experts participating in schistosomiasis control, management and research. Following two rounds of consultation, a risk assessment indicator system was finally constructed, including 3 primary indicators, 10 secondary indicators and 35 tertiary indicators. Among the primary indicators, the variable with the highest normalized weight was the current status of schistosomiasis (0.420 2), followed by social factors (0.397 3) and natural environments (0.182 5). Among the secondary indicators, those with high combined weights included risk monitoring (0.142 3), current snail status (0.140 1), and current prevalence of human and livestock infections (0.137 8). Among the tertiary indicators, those with high combined weights included the positive rate of wild feces (0.049 8), the prevalence of snail infections (0.047 4), and the area of snail habitats submerged by floods (0.046 8). During the two-round consultation, the active coefficients of the experts were 85.00% and 100.00%, the degree of expert authority was both 0.75 and greater, and the coordination levels of experts' opinions were 0.405 to 0.521 and 0.592 to 0.695 (all P values < 0.05).

CONCLUSIONS

An indicator system for assessment of schistosomiasis transmission risk is successfully established after transmission interruption in Hubei Province based on the Delphi method, which provides insights into the identification of the schistosomiasis transmission risk and the targets for schistosomiasis control in Hubei Province.

How to Illuminate the Druggable Genome Using Pharos

Pharos is an integrated web-based informatics platform for the analysis of data aggregated by the Illuminating the Druggable Genome (IDG) Knowledge Management Center, an NIH Common Fund initiative. The current version of Pharos (as of October 2019) spans 20,244 proteins in the human proteome, 19,880 disease and phenotype associations, and 226,829 ChEMBL compounds. This resource not only collates and analyzes data from over 60 high-quality resources to generate these types, but also uses text indexing to find less apparent connections between targets, and has recently begun to collaborate with institutions that generate data and resources. Proteins are ranked according to a knowledge-based classification system, which can help researchers to identify less studied "dark" targets that could be potentially further illuminated. This is an important process for both drug discovery and target validation, as more knowledge can accelerate target identification, and previously understudied proteins can serve as novel targets in drug discovery. Two basic protocols illustrate the levels of detail available for targets and several methods of finding targets of interest. An Alternate Protocol illustrates the difference in available knowledge between less and more studied targets. © 2020 by John Wiley & Sons, Inc. Basic Protocol 1: Search for a target and view details Alternate Protocol: Search for dark target and view details Basic Protocol 2: Filter a target list to get refined results.

DrugCentral 2021 supports drug discovery and repositioning

DrugCentral is a public resource (http://drugcentral.org) that serves the scientific community by providing up-to-date drug information, as described in previous papers. The current release includes 109 newly approved (October 2018 through March 2020) active pharmaceutical ingredients in the US, Europe, Japan and other countries; and two molecular entities (e.g. mefuparib) of interest for COVID19. New additions include a set of pharmacokinetic properties for ∼1000 drugs, and a sex-based separation of side effects, processed from FAERS (FDA Adverse Event Reporting System); as well as a drug repositioning prioritization scheme based on the market availability and intellectual property rights forFDA approved drugs. In the context of the COVID19 pandemic, we also incorporated REDIAL-2020, a machine learning platform that estimates anti-SARS-CoV-2 activities, as well as the 'drugs in news' feature offers a brief enumeration of the most interesting drugs at the present moment. The full database dump and data files are available for download from the DrugCentral web portal.

TCRD and Pharos 2021: mining the human proteome for disease biology

In 2014, the National Institutes of Health (NIH) initiated the Illuminating the Druggable Genome (IDG) program to identify and improve our understanding of poorly characterized proteins that can potentially be modulated using small molecules or biologics. Two resources produced from these efforts are: The Target Central Resource Database (TCRD) (http://juniper.health.unm.edu/tcrd/) and Pharos (https://pharos.nih.gov/), a web interface to browse the TCRD. The ultimate goal of these resources is to highlight and facilitate research into currently understudied proteins, by aggregating a multitude of data sources, and ranking targets based on the amount of data available, and presenting data in machine learning ready format. Since the 2017 release, both TCRD and Pharos have produced two major releases, which have incorporated or expanded an additional 25 data sources. Recently incorporated data types include human and viral-human protein-protein interactions, protein-disease and protein-phenotype associations, and drug-induced gene signatures, among others. These aggregated data have enabled us to generate new visualizations and content sections in Pharos, in order to empower users to find new areas of study in the druggable genome.

[Oncologic outcomes of early stage cervical cancer performed operation by different laparoscopic surgical procedures: analysis of clinical data from mutiple centers]

Objective: To evaluate the oncologic outcomes of different laparoscopic radical hysterectomy. Methods: From January 2011 to December 2014, the laparoscopic operation cases of cervical cancer at stage Ⅰb1, Ⅰb2, Ⅱa1 and Ⅱa2, including the histologic subtypes of squamous-cell carcinoma, adenocarcinoma and adenosquamous carcinoma, were collected in five clinical centers. The data were divided into two groups according to the surgical procedures, that is, modified laparoscopic-vaginal radical hysterectomy (mLVRH) and total laparoscopic radical hysterectomy (TLRH). The overall survival rate (OS), disease-free survival rate (DFS) at 5 years were retrospectively analyzed in this study. Results: There were 674 cases in total, including 377 cases of mLVRH, 297 cases of TLRH. (1) The OS at 5 years: the mLVRH was 96.1% and the TLRH was 92.0%, and the mLVRH was higher than that of TLRH （P=0.010）. Stratify analysis， including stage of disease （Ⅰb1 and Ⅱa1）， histologic subtypes （squamous-cell carcinoma, adenocarcinoma）， lymph node metastasis， revealed that, ① Stage of disease: in stage Ⅰb1, the OS at five years of mLVRH was higher than that in TLRH group （98.6% vs 93.6%, P=0.012）. In stage Ⅱa1, there was significant difference between the two groups, the OS at five years of mLVRH and TLRH were 93.6% and 77.6% （P=0.007）. ② Histologic subtypes: for the OS at five years of squamous-cell carcinoma, mLVRH and TLRH were 96.1% and 92.3%, and there was significant difference （P=0.046）； for adenocarcinoma, the OS at five years were 91.0% and 88.6%， and there was no difference between two groups （P=0.230）. ③ Lymph node metastasis： the mLVRH and TLRH with lymph node metastasis, the OS at five years were 98.6% and 96.4%; the mLVRH and TLRH without lymph node metastasis, the OS at five years were 89.3% and 80.8%. There were no significant differences between the two groups,respectively (P=0.156， P=0.093）. (2) The DFS at 5 years: there was no significant difference between mLVRH and TLRH (94.1% vs 90.9%, P=0.220). Stratify analysis for stage of disease, the mLVRH group was higher than that in the TLRH group in stage Ⅰb1 (97.0% vs 92.8%, P=0.039). However, for stage Ⅱa1, there was no significant difference between mLVRH and TLRH group （88.2% vs 75.8%, P=0.074）. Conclusions: The results of this retrospective study indicated that different laparoscopy surgical procedures had diverse oncologic outcomes. The OS at 5 years of the mLVRH is superior to the TLRH. The DFS at 5 years in Ⅰb1 stage, the mLVRH is higher than the TLRH. Therefore, the modified laparoscopy is still an alternative surgery for early cervical cancer patients when following the principle of no-tumor-exposure.

REDIAL-2020: A suite of machine learning models to estimate Anti-SARS-CoV-2 activities

Strategies for drug discovery and repositioning are an urgent need with respect to COVID-19. We developed "REDIAL-2020", a suite of machine learning models for estimating small molecule activity from molecular structure, for a range of SARS-CoV-2 related assays. Each classifier is based on three distinct types of descriptors (fingerprint, physicochemical, and pharmacophore) for parallel model development. These models were trained using high throughput screening data from the NCATS COVID19 portal (https://opendata.ncats.nih.gov/covid19/index.html), with multiple categorical machine learning algorithms. The "best models" are combined in an ensemble consensus predictor that outperforms single models where external validation is available. This suite of machine learning models is available through the DrugCentral web portal (http://drugcentral.org/Redial). Acceptable input formats are: drug name, PubChem CID, or SMILES; the output is an estimate of anti-SARS-CoV-2 activities. The web application reports estimated activity across three areas (viral entry, viral replication, and live virus infectivity) spanning six independent models, followed by a similarity search that displays the most similar molecules to the query among experimentally determined data. The ML models have 60% to 74% external predictivity, based on three separate datasets. Complementing the NCATS COVID19 portal, REDIAL-2020 can serve as a rapid online tool for identifying active molecules for COVID-19 treatment. The source code and specific models are available through Github (https://github.com/sirimullalab/redial-2020), or via Docker Hub (https://hub.docker.com/r/sirimullalab/redial-2020) for users preferring a containerized version.

[Preliminary study of PD-1 inhibitor in the treatment of drug-resistant recurrent gestational trophoblastic neoplasia]

Objective: To investigate the therapeutic effect of programmed cell death receptor 1 (PD-1) inhibitor in drug-resistant recurrent gestational trophoblastic neoplasia (GTN). Methods: Clinicopathological features, previous treatments, PD-1 inhibitor treatment and prognosis of 8 patients with drug-resistant recurrent GTN treated with PD-1 inhibitor pembrolizumab， in Peking Union Medical College Hospital of Chinese Academy of Medical Sciences from August 2018 to June 2019 were collected and retrospectively analyzed. Results: (1) Clinicopathological features: the average age of onset of 8 GTN patients was 32.9 years old (31-39 years old); pathological types: choriocarcinoma in 7 cases, epithelioid trophoblastic tumor in 1 case. International Federation of Gynecology and Obstetrics (FIGO) stages: stage Ⅲ in 5 cases, stage Ⅳ in 3 cases; FIGO score: 4 patients with 7-12 points (high-risk group) and 4 patients with ≥13 points (ultra high-risk group). All the 8 patients had lung metastasis, 2 patients with brain metastasis, 1 patient with kidney and 1 patient with intestinal metastasis. (2) Previous treatments: ① Chemotherapy: 8 patients with GTN received an average of 21.1 courses (5-30 courses) of chemotherapy; the main route was systemic intravenous chemotherapy. One patient received intrathecal methotrexate chemotherapy due to brain metastasis. ② Surgery: 7 of 8 patients with GTN received surgical treatment, including 5 cases of pelvic surgury, 6 cases of pulmonary lobectomy and 1 case of right hemicolectomy. ③ Radiotherapy: 2 of 8 patients with GTN received radiotherapy, among which 1 patient received radiotherapy for lung for 8 times due to lung metastasis, and the other one received radiotherapy for lung, right sacroiliac joint and skull for a total of 22 times. (3) PD-1 inhibitor treatment: 8 patients with GTN received PD-1 inhibitor treatment with a mean course of 9 (2-12 courses). Six patients appeared Ⅰ-Ⅱ grade of immune related adverse events (AE), and no severe AE occurred. (4) Prognosis: after 2-3 courses of PD-1 inhibitor treatment, serum β-hCG level came to normalization in 4 patients. They were followed up for 2-7 months without any recurrence after 0-9 courses of consolidation treatment. One patient received 12 courses of PD-1 inhibitor treatment. The serum β-hCG level normalized after the 6th courses but increased 1 months later, and then received bevacizumab treatment due to the progression of the disease. The remaining 3 patients received other chemotherapy regiments due to disease progression during PD-1 inhibitor treatment. Conclusions: PD-1 could be used as a remedial treatment for drug-resistant recurrent GTN, with a high effective rate and relatively mild AE. However, more cases need to be accumulated clinically and efficacy should be comprehensively evaluated in combination with pathology and immunohistochemical examination.

Magnetic Imaging of Domain Walls in the Antiferromagnetic Topological Insulator MnBi2Te4

The control of domain walls or spin textures is crucial for spintronic applications of antiferromagnets. Despite many efforts, it has been challenging to directly visualize antiferromagnetic domains or domain walls with nanoscale resolution, especially in magnetic field. Here, we report magnetic imaging of domain walls in several uniaxial antiferromagnets, the topological insulator MnBi₂Te₄ family, using cryogenic magnetic force microscopy (MFM). Our MFM results reveal higher magnetic susceptibility inside the domain walls than in domains. Domain walls in these antiferromagnets form randomly with strong thermal and magnetic field dependence. The direct visualization of these domain walls and domain structures in the magnetic field will not only facilitate the exploration of intrinsic topological phenomena in antiferromagnetic topological insulators but will also open a new path toward control and manipulation of domain walls or spin textures in functional antiferromagnets.

[Epidemiological characteristics of COVID-19 in Gansu province]

Objective: To understand the epidemiological characteristics of COVID-19 cases in different epidemic stages in Gansu province. Methods: Epidemiological investigation was conducted to collect the information of confirmed COVID-19 cases, including demographic, epidemiological and clinical information. Results: As of 25 February 2020, a total of 91 confirmed COVID-19 cases had been reported in Gansu. The epidemic of COVID-19 in Gansu can be divided as three different stages, i.e. imported case stage, imported-case plus indigenous case stage, and indigenous case stage. A total of 63 cases were clustered cases (69.23%), 3 cases were medical staff infected with non-occupational exposure. The initial symptoms included fever (54.95%, 50/91), cough (52.75%, 48/91), or fatigue (28.57%, 26/91), the proportion of each symptom showed a decreasing trend along with the three epidemic stages, but only the differences in proportions of fever (trend χ2=2.20, P<0.05) and fatigue (trend χ2=3.18, P<0.05) among the three epidemic stages were statistically significant. The cases with critical severe symptoms accounted for 42.85% (6/14), 23.73% (14/59) and 16.67% (3/18), respectively, in three epidemic stages, showed a decreasing trend (H=6.45, P<0.05). Also, the incubation period prolonged along with the epidemic stage (F=51.65, P<0.01), but the intervals between disease onset and hospital visit (F=5.32, P<0.01), disease onset and diagnosis (F=5.25, P<0.01) became shorter along with the epidemic stage. Additionally, the basic reproduction number (R0) had decreased from 2.61 in imported case stage to 0.66 in indigenous case stage. Conclusions: The COVID-19 epidemic in Gansu was caused by the imported cases, and about 2/3 cases were clustered ones. No medical worker was observed to be infected by occupational exposure. With the progression of COVID-19 epidemic in Gansu, the change in initial symptom and incubation period suggests, the early screening cannot only depend on body temperature monitoring.

Streamlined MRM method transfer between instruments assisted with HRMS matching and retention-time prediction

Multiple reaction monitoring (MRM) mode using liquid-chromatography tandem mass spectrometry (e.g., LC-QqQ-MS/MS) has been extensively employed in the small molecule analysis with trace levels in complex samples owing to its high sensitivity. However, most of the reported MRM methods are developed using authentic standards, which are often costly yet not readily available. To address this question, a practical platform for the MRM method transfer between different LC-QqQ-MS/MS instruments, assisted by the high-resolution mass spectrometry (LC-HRMS) and retention time (RT) prediction, has been developed in this study. The reported platform can take advantage of both the high sensitivity of LC-MRM method and ion transition pairs from the previous publications. LC-HRMS can provide the accurate mass measurement of the compounds, though high-quality MS/MS fragments are usually difficult to obtain for chemicals at trace levels. Retention time matching and peaks matching between both instrumental platforms rule out isobaric candidates. With an additional retention time prediction filter from quantitative structure retention relationship (QSRR) model based on random forest feature selection (Pearson r² = 0.63), identification of small molecules is achieved at a high confidence level without using authentic standards. The developed platform has been validated with robustness by examining spiked environmental chemicals in sludge water samples, biological urine, and cell extracts.

Unique genetic profiles from cerebrospinal fluid cell-free DNA in leptomeningeal metastases of EGFR-mutant non-small-cell lung cancer: a new medium of liquid biopsy

Background

Leptomeningeal metastases (LM) are more frequent in non-small-cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutations. Due to limited access to leptomeningeal lesions, the purpose of this study was to explore the potential role of cerebrospinal fluid (CSF) as a source of liquid biopsy in patients with LM.

Patients and methods

Primary tumor, CSF, and plasma in NSCLC with LM were tested by next-generation sequencing. In total, 45 patients with suspected LM underwent lumbar puncture, and those with EGFR mutations diagnosed with LM were enrolled.

Results

A total of 28 patients were enrolled in this cohort; CSF and plasma were available in 26 patients, respectively. Driver genes were detected in 100% (26/26), 84.6% (22/26), and 73.1% (19/26) of samples comprising CSF cell-free DNA (cfDNA), CSF precipitates, and plasma, respectively; 92.3% (24/26) of patients had much higher allele fractions in CSF cfDNA than the other two media. Unique genetic profiles were captured in CSF cfDNA compared with those in plasma and primary tissue. Multiple copy number variations (CNVs) were mainly identified in CSF cfDNA, and MET copy number gain identified in 47.8% (11/23) of patients was the most frequent one, while other CNVs included ERBB2, KRAS, ALK, and MYC. Moreover, loss of heterozygosity (LOH) of TP53 was identified in 73.1% (19/26) CSF cfDNA, which was much higher than that in plasma (2/26, 7.7%; P < 0.001). There was a trend towards a higher frequency of concomitant resistance mutations in patients with TP53 LOH than those without (70.6% versus 33.3%; P = 0.162). EGFR T790M was identified in CSF cfDNA of 30.4% (7/23) of patients who experienced TKI progression.

Conclusion

CSF cfDNA could reveal the unique genetic profiles of LM and should be considered as the most representative liquid biopsy medium for LM in EGFR-mutant NSCLC.

Clinical practice guideline for image-guided multimode tumour ablation therapy in hepatic malignant tumours

Multimode tumour ablation therapy is a treatment method that combines cryoablation with radiofrequency ablation, guided by medical imaging technology and based on precise planning, targeting, monitoring, and control of the thermal energy delivered, with the aim of achieving a whole-body antitumour immune response to malignant tumours. To develop standardized criteria for the application of multimode tumour ablation therapy to malignant hepatic tumours, to facilitate actualization of the criteria in various hospitals, and to ensure therapeutic efficacy and safety, the Society of Interventional Therapy of the Chinese Anti-Cancer Association and the Solid Tumor Theranostics Committee of the Shanghai Anti-Cancer Association assembled experts who specialize in oncology to discuss this treatment method and to arrive at a clinical practice consensus guideline for the indications, contraindications, and techniques of multimode tumour ablation therapy for malignant hepatic tumours.

NKAP plays an oncogenic function partly through AKT signaling pathway in hepatocellular carcinoma

NF-kB activating protein (NKAP) is a highly conserved protein involved in transcriptional repression, immune cell development, maturation, T cell acquisition of functional competency and maintenance of hematopoiesis. Here we first explore the function of NKAP in hepatocellular carcinoma (HCC). We found that NKAP was highly expressed in HCC tissues and associated with a poor patient survival. CCK8 assay showed that NKAP knockdown significantly decreased cell viability of HuH7 and Hep3B HCC cell lines. Cell invasion, tested by transwell assays, was significantly inhibited by NKAP knockdown in HuH7 and Hep3B cells (P<0.05). Percentage of cell apoptosis was significantly increased by NKAP knockdown in HuH7 cells (6.5% to 12.5%) and in Hep3B cells (8.3% to 27.3%). Furthermore, western blot results indicated that NKAP silence upregulated the expression of pro-apoptotic proteins Bax and Caspase3-P17 while downregulated anti-apoptotic protein Bcl2. Finaly, AKT signaling pathway was evaluated to reveal the underlying mechanism of NKAP in HCC cells. It was suggested that NKAP knockdown decreased the phosphorylation level of AKT and the expression of its downstream members p70S6K and Cyclin D1. Furthermore, we demonstrated that NKAP knockdown also played an oncogenic role in human gastric cancer AGS and MKN45 cells. In conclusion, for the first time our study reveals that NKAP promotes the proliferation and invasion in HCC cell lines at least partly through AKT signaling pathway.

[Effect of dopamine on intracerebral glutamate uptake ability in rats with minimal hepatic encephalopathy and the pathogenesis of minimal hepatic encephalopathy]

Objective: To investigate the effect of dopamine (DA) on the glutamate (Glu) uptake ability of neural cells, as well as its effect on cognitive impairment in rats with minimal hepatic encephalopathy (MHE) via related pathways. Methods: A total of 45 Sprague-Dawley rats were randomly divided into control group, MHE model group, and DA intervention model group, with 15 rats in each group. The rats in the MHE model group were given intraperitoneal injection of thioacetamide (TAA), those in DA intervention model group were given intraventricular injection of DA, and those in the control group were given intraperitoneal injection of physiological saline, with a frequency of twice a week for 8 weeks. Cerebral microdialysis was used to measure the change in the content of Glu in the brain in MHE rats and rats with DA intervention; RT-PCR and Western blotting were used to measure the relative mRNA and protein expression of trace amine-associated receptor 1 (TAAR1) and excitatory amino acid transporter 2 (EAAT2); the changes in the expression of EAAT2 and extracellular Glu level were measured after intracerebroventricular injection of TAAR1 siRNA and TAAR1 plasmid in MHE rats and rats with DA intervention. One- way analyses of variance for comparison among different groups were performed, categorical data between groups were compared using nonparametric tests. Results: Compared with the control group, the MHE model group had significant increases in the content of DA in liver tissue, plasma, and brain tissue (4.90 ± 0.13 ng/g vs 1.20 ± 0.13 ng/g, P < 0.05; 16.32 ± 1.01 pmol/ml vs 5.50 ± 0.82 pmol/ml, P < 0.05; 732.45 ± 78.85 ng/g vs 387.00 ± 23.36 ng/g, P < 0.05). There was a significant increase in the extracellular Glu level within 40-120 minutes after intracerebral injection of DA in the DA intervention model group. Compared with the control group, the MHE model group and the DA intervention model group had a significant increase in the relative protein expression of TAAR1 (3.72 ± 0.50/4.18 ± 0.43 vs 0.96 ± 0.40, both P < 0.05) and a significant reduction in the expression of EAAT2 (0.46 ± 0.16/0.51 ± 0.20 vs 0.92 ± 0.11, P = 0.013 and 0.036). Compared with the model group treated with empty vector, the MHE model group and the DA intervention model group had a significant increase in the relative protein expression of EAAT2 after TAAR1 siRNA intervention (0.86±0.142 vs 0.56 ± 0.060, P = 0.028; 0.99 ± 0.056 vs 0.43 ± 0.098, P = 0.0010) and a significant reduction in the extracellular Glu level in the brain at 60-120 minutes after injection, while after TAAR1 plasmid intervention, the MHE model group and the DA intervention model group had a significant reduction in the relative protein expression of EAAT2 (0.20 ± 0.040 vs 0.48 ± 0.08, P = 0.006; 0.24 ± 0.05 vs 0.54 ± 0.07, P = 0.004) and a significant increase in the extracellular Glu level in brain at 60-100 minutes after injection. Conclusion: DA interacts with TAAR1 in brain tissue to induce extracellular accumulation of Glu, thus leading to the disorder of the TAAR1-EAAT2 signaling pathway in brain tissue and ultimately injuring the cognitive function of MHE rats.

DrugCentral 2018: an update

DrugCentral is a drug information resource (http://drugcentral.org) open to the public since 2016 and previously described in the 2017 Nucleic Acids Research Database issue. Since the 2016 release, 103 new approved drugs were updated. The following new data sources have been included: Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS), FDA Orange Book information, L1000 gene perturbation profile distance/similarity matrices and estimated protonation constants. New and existing entries have been updated with the latest information from scientific literature, drug labels and external databases. The web interface has been updated to display and query new data. The full database dump and data files are available for download from the DrugCentral website.

Association of thymosin β4 expression with clinicopathological parameters and clinical outcomes of bladder cancer patients

The clinical significance of thymosin β4 (Tβ4) expression in bladder transitional cell carcinoma (BTCC) remains unclear. The present study assessed the relationship between the expression of Tβ4 protein and the clinicopathological features, as well as the prognosis of bladder cancer patients. Tβ4 protein expression in 24 normal bladder and 138 primary BTCC tissue specimens was detected by immunohistochemistry, and the association of this expression with BTCC clinicopathological features and recurrence as well as patient survival was analyzed. Tβ4 expression was significantly stronger in BTCC patients than in normal volunteers. The expression of Tβ4 was significantly associated with differentiation capability, tumor stage and lymph node metastasis (P = 0.025, 0.043, and 0.039, respectively). Moreover, Tβ4 expression was positively correlated with integrin-linked kinase (ILK) and β-catenin expression (P = 0.042, 0.031, respectively) and inversely correlated with E-cadherin expression (P = 0.022). In the present cohort of bladder cancer patients, Tβ4 expression was found to be a predictor of poor survival (P < 0.05); however, high Tβ4 expression exhibited unfavorable prognostic value for recurrence. These data suggested that Tβ4 is correlated with the pathogenesis of BTCC. In addition, the patients with higher Tβ4 expression had a shorter survival.

[Impact of chemotherapy on ovarian function and quality of life of patients with gestational trophoblastic neoplasia]

Objective: Using a questionnaire to evaluate different regimens of chemotherapy on ovarian function and quality of life of patients with gestational trophoblastic neoplasia (GTN) . Methods: At least 6 months after completion of chemotherapy, 200 patients with GTN treated in Peking Union Medical College Hospital from January 2010 to June 2017 were randomly selected to fill up the questionnaire. The questionnaire items were included the patient's menstrual cycles, sexual life, gestational issues and common health. The patients were divided into 3 groups by chemotherapy regimens: actinomycin D (Act-D) group, floxuridine+Act-D+vincristine (FAV) or floxuridine+Act-D+etoposide+vincristine (FAEV) group (FAV-FAEV group) , and etoposide+methotrexate+Act-D (EMA) /vincristine+cyclophosphamide (CO) or EMA/ etoposide+cisplatin (EP) group (EMA/CO-EMA/EP group) . Chi-square test was used with a significance level of P-value less than 0.05. Results: One hundred and seventy-three (86.5%,173/200) of the patients completed the questionnaire. Forty three point two percent (43.2%, 19/44) in the EMA/CO-EMA/EP group had a normal menstrual cycle, which were significantly lower than those of Act-D group (84.6%,22/26) and FAV-FAEV group (71.2%, 37/52; all P<0.05) . Amenorrhea rate was also significantly higher in EMA/CO-EMA/EP group (25.0%, 11/44) than in Act-D group (0) and FAV-FAEV group (17.3%, 9/52; all P<0.05) . The sexual life parameters were comparable among 3 groups. Ten out of thirty-two patients conceived after chemotherapy, 2 had miscarriages and 8 had full-term delivery of healthy babies. The common health and labor capacity were significantly decreased after chemotherapy (all P<0.05) . Conclusions: EMA/CO or EMA/EP regimen have a worse impact on ovarian function than Act-D and FAV or FAEV regimen. Gynecologic oncologist should be concerned about the ovarian function and quality of life of GTN patients.

[Clinical outcome of patients with gestational trophoblastic neoplasia receiving primary treatment at Peking Union Medical College Hospital: a 30-year retrospective cohort study]

Objective: To summarize and analyze the clinical outcomes of gestational trophoblastic neoplasia (GTN) patients receiving primary treatment at Peking Union Medical College Hospital from 1985 to 2015, and investigate the changes in treatment efficacy between the first and the second 15 years. Methods: Clinical data of GTN patient receiving primary chemotherapy at Peking Union Medical College Hospital from January 1985 to December 2015 were retrospectively analyzed. It further compared the therapeutic results and chemotherapy cycles given to GTN patients, according to International Federation of Gynecology and Obstetrics (FIGO, 2000) prognostic score system, who were classified to different stages and low- or high-risk groups. Results: In total, 1 711 GTN patients were included in this study. Comparing the 1985-2000 group and the 2001-2015 group, the results showed that: (1) while the overall complete remission (CR) rate was 93.7% (1 603/1 711) , the CR rate of 2001-2015 group was significantly higher than that of 1985-2000 group [98.4% (1 155/1 174) vs 83.4% (448/537) , χ(2)=139.353, P<0.01]. This difference was significant between stage Ⅲ and Ⅳ patients, but nonexistent between stage Ⅰ and Ⅱ patients, including low- and high-risk groups. (2) The relapse rate of patients who had been in CR was 2.7% (43/1 603) , with no significant differences between the groups of 1985-2001 and 2001-2015 [3.6% (16/448) vs 2.3% (27/1 155) , χ(2)=6.867, P=0.142]. (3) The overall mortality rate was 2.6% (44/1 711) , which significantly decreased in 2001-2015 group compared to 1985-2000 group [1.6% (19/1 174) vs 4.7% (25/537) , χ(2)=13.830, P<0.01]. This difference appeared only in high-risk patients with stage Ⅲ disease (χ(2)=9.505, P<0.01) . (4) Fluorouracil was gradually replaced by floxridine in chemotherapy regimens. The total cycles of chemotherapy regimens given to low-risk patients with stage Ⅲ disease significantly decreased in 2001-2015 group, but no statistical difference was shown with patients at other stages. Moreover, the cycles of consolidation treatment were significantly reduced in patients with stage Ⅲ patients. Conclusions: GTN patients could obtain satisfactory curative results after appropriate and standard treatment. Peking Union Medical College Hospital has achieved better curative effect in the latest 15 years than before.

Unexplored therapeutic opportunities in the human genome

A large proportion of biomedical research and the development of therapeutics is focused on a small fraction of the human genome. In a strategic effort to map the knowledge gaps around proteins encoded by the human genome and to promote the exploration of currently understudied, but potentially druggable, proteins, the US National Institutes of Health launched the Illuminating the Druggable Genome (IDG) initiative in 2014. In this article, we discuss how the systematic collection and processing of a wide array of genomic, proteomic, chemical and disease-related resource data by the IDG Knowledge Management Center have enabled the development of evidence-based criteria for tracking the target development level (TDL) of human proteins, which indicates a substantial knowledge deficit for approximately one out of three proteins in the human proteome. We then present spotlights on the TDL categories as well as key drug target classes, including G protein-coupled receptors, protein kinases and ion channels, which illustrate the nature of the unexplored opportunities for biomedical research and therapeutic development.

TIN-X: target importance and novelty explorer

Motivation

The increasing amount of peer-reviewed manuscripts requires the development of specific mining tools to facilitate the visual exploration of evidence linking diseases and proteins.

Results

We developed TIN-X, the Target Importance and Novelty eXplorer, to visualize the association between proteins and diseases, based on text mining data processed from scientific literature. In the current implementation, TIN-X supports exploration of data for G-protein coupled receptors, kinases, ion channels, and nuclear receptors. TIN-X supports browsing and navigating across proteins and diseases based on ontology classes, and displays a scatter plot with two proposed new bibliometric statistics: Importance and Novelty.

Availability and Implementation

http://www.newdrugtargets.org.

Contact

cbologa@salud.unm.edu.