Discovery of 6-(2-(dimethylamino)ethyl)-N-(5-fluoro-4-(4-fluoro-1-isopropyl-2-methyl-1H-benzo[d]imidazole-6-yl)pyrimidin-2-yl)-5,6,7,8-tetrahydro-1,6-naphthyridin-2-amine as a highly potent cyclin-dependent kinase 4/6 inhibitor for treatment of cancer

Targeting CDK4/6 has been identified as an effective therapeutics for treatment of cancer. We herein reported the discovery of a series of 6-(2-(methylamino)ethyl)-5,6,7,8-tetrahydro-1,6-naphthyridin-2-amine derivatives as CDK4/6 inhibitors against cancer. Compound 3c, which displayed high potency and selectivity on CDK4/6 (IC₅₀ = 0.710/1.10 nM) over a variety of other kinases, possessed desirable antiproliferative activities, excellent metabolic properties, and favorable pharmacokinetic characters. In MCF-7, Colo-205, and A549 xenograft models, compound 3c exhibited significant tumor growth inhibitions with low toxicities, which could be a promising drug candidate for further development.

[Efficacy and associated factors of olfactory training in the treatment of olfactory dysfunction]

Objective: To explore the clinical effects and the influence factors of olfactory training in the treatment of olfactory dysfunction. Methods: A total of 86 patients with olfactory dysfunction (49 post-infectious and 37 post-traumatic) in Beijing Anzhen Hospital during Dec 2016 to May 2017 were recruited in this prospective study. The clinical data of patients were analyzed, including gender, age, body mass index (BMI), course of disease, smoking history, drinking history, diabetes history, hypertension history, hyperlipidemia history, and anxiety visual analogue score (VAS). All patients were treated with olfactory training for 16 weeks, and all of them underwent Sniffin' Sticks olfactory test before and after treatment, which was evaluated by composite threshold-discrimination-identification score (TDI). SPSS 23.0 software, paired t test and univariate and multivariate Logistic regression analysis were used to analyze the data. Results: Eighty patients received treatment, including 46 post-infectious olfactory dysfunction and 34 post-traumatic olfactory dysfunction. After olfactory training, the total scores of TDI increased with statistically significant (18.3±8.6 vs 13.6±7.4, t=-6.158, P<0.05). The overall efficacy was 40% (32/80). The effective rate were 45.7% (21/46) in post-infectious olfactory dysfunction and 32.4% (11/34) in post-traumatic olfactory dysfunction respectively, with no statistically significant difference (χ(2)=1.441, P=0.230). Logistic regression analysis showed that the course of disease was an influence factor in the clinical curative effect (OR=0.881, 95%CI: 0.799-0.973, P=0.012). In patients with less than a year of olfactory dysfunction, the olfactory function improved obviously with the efficiency of 50.9% (29/57). Conclusion: Sixteen weeks of olfactory training provides a significant therapeutic effect on the post-infectious and post-traumatic olfactory dysfunction, and the olfactory training can achieve better therapeutic effects at the early stage.

Robust regression for optimal individualized treatment rules

Because different patients may respond quite differently to the same drug or treatment, there is an increasing interest in discovering individualized treatment rules. In particular, there is an emerging need to find optimal individualized treatment rules, which would lead to the "best" clinical outcome. In this paper, we propose a new class of loss functions and estimators based on robust regression to estimate the optimal individualized treatment rules. Compared to existing estimation methods in the literature, the new estimators are novel and advantageous in the following aspects. First, they are robust against skewed, heterogeneous, heavy-tailed errors or outliers in data. Second, they are robust against a misspecification of the baseline function. Third, under some general situations, the new estimator coupled with the pinball loss approximately maximizes the outcome's conditional quantile instead of the conditional mean, which leads to a more robust optimal individualized treatment rule than the traditional mean-based estimators. Consistency and asymptotic normality of the proposed estimators are established. Their empirical performance is demonstrated via extensive simulation studies and an analysis of an AIDS data set.

The changing landscape of phase II/III metastatic sarcoma clinical trials-analysis of ClinicalTrials.gov

Background

Well-designed clinical trials are of great importance in validating novel treatments and ensuring an evidence-based approach for sarcoma. This study aimed to provide a comprehensive landscape of the characteristics of metastatic or advanced sarcoma clinical trials using the substantial resource of the ClincialTrials.gov database.

Methods

We identified 260,755 trials registered with ClinicalTrials.gov in the last 20 years, and 277 of them were eligible for inclusion. The baseline characteristics were ascertained for each trial. The trials were systematically reviewed to validate their classification into 96 trials registered before 2008 and 181 trials registered between 2008 and 2017.

Results

We found that in the last decade, metastatic and advanced sarcoma trials were predominantly phase II-III studies (p = 0.048), were more likely to be ≥2 arms (17.7% vs 35.3%, respectively; p = 0.007), and were more likely to use randomized (13.5% vs 30.4%; p = 0.002) and double-blinded (2.1% vs 9.4%; p = 0.024) assignment than trials registered before 2008. Furthermore, in the last 10-year period, metastatic sarcoma trials were more likely to be conducted in Asia. Treatment involving target therapy and immunotherapy were more common (71.8% vs 37.5%; p < 0.001) than in previous years.

Conclusions

Our data showed provocative changes in the sarcoma landscape and demonstrated that the incidence of clinical trials with target therapy and immunotherapy is increasing. These findings emphasize the desperate need for novel strategies, including target therapy and immunotherapy, to improve the outcomes for patients with advanced sarcoma.

Electronic supplementary material

The online version of this article (10.1186/s12885-018-5163-2) contains supplementary material, which is available to authorized users.

Low Wall Shear Stress Is Associated with Local Aneurysm Wall Enhancement on High-Resolution MR Vessel Wall Imaging

BACKGROUND AND PURPOSE

Some retrospective studies have found that the aneurysm wall enhancement on high-resolution MR vessel wall postgadolinium T1WI has the potential to distinguish unstable aneurysms. This study aimed to identify hemodynamic characteristics that differ between the enhanced and nonenhanced areas of the aneurysm wall on high-resolution MR vessel wall postgadolinium T1WI.

MATERIALS AND METHODS

TOF-MRA and high-resolution MR vessel wall T1WI of 25 patients were fused to localize the enhanced area of the aneurysm wall. Using computational fluid dynamics, we studied the aneurysm models. Mean static pressure, mean wall shear stress, and oscillatory shear index were compared between the enhanced and nonenhanced areas.

RESULTS

The aneurysmal enhanced area had lower wall shear stress (P < .05) and a lower oscillatory shear index (P = .021) than the nonenhanced area. In addition, the whole aneurysm had lower wall shear stress (P < .05) and a higher oscillatory shear index (P = .007) than the parent artery.

CONCLUSIONS

This study suggests that there are hemodynamic differences between the enhanced and nonenhanced areas of the aneurysm wall on high-resolution MR vessel wall postgadolinium T1WI.

The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma: the values of CT imaging features and texture analysis

BACKGROUND

Imaging findings for pancreatic neuroendocrine carcinoma (PNEC) and pancreatic ductal adenocarcinoma (PDAC) often overlap. The aim of this study was to demonstrate the value of computed tomography (CT) imaging features and texture analysis to differentiate PNEC from PDAC.

METHODS

Twenty-eight patients with pathologically-proved PDAC and 14 patients with PNEC were included in this study. CT imaging findings, including tumor boundary, size, enhancement degree, duct dilatation and parenchymal atrophy were used to compare PDAC and PNEC. CT texture features were extracted from CT images at the arterial and portal phases.

RESULTS

More PNEC than PDAC had well-defined margins (57.1% vs 25.0%, p = 0.04). Parenchymal atrophy was more common in PDAC than in PNEC (67.9% vs 28.1%, p = 0.02). CT attenuation values (HU) and contrast ratios of PNEC inthe arterial and portal phases were higher than those of PDAC (p < 0.05 or 0.01). Entropy was lower and uniformity was higher in PNEC compare to PDAC at the arterial phase (p < 0.05). Contrast ratio showed the highest area under curve (AUC) for differentiating PNEC from PDAC (AUC = 0.98-0.99). Entropy and uniformity also showed an acceptable AUC (0.71-0.72).

CONCLUSIONS

Our data indicate that CT imaging features, including tumor margin, enhanced degree and parenchymal atrophy, as well as texture parameters can aid in the differentiation of PNEC from PDAC.

A genome-wide association study of growth and fatness traits in two pig populations with different genetic backgrounds

Improvement in growth and fatness traits are the main objectives in pig all breeding programs. Tenth rib backfat thickness (10RIBBFT) and days to 100 kg (D100), which are good predictors of carcass lean content and growth rate, respectively, are economically important traits and also main breeding target traits in pigs. To investigate the genetic mechanisms of 10RIBBFT and D100 of pigs, we sampled 1,137 and 888 pigs from 2 Yorkshire populations of American and British origin, respectively, and conducted genome-wide association study (GWAS) through combined analysis and meta-analysis, to identify SNPs associated with 10RIBBFT and D100. A total of 11 and 7 significant SNPs were identified by combined analysis for 10RIBBFT and D100, respectively. And in meta-analysis, 8 and 7 significant SNPs were identified for 10RIBBFT and D100, respectively. Among them, 6 and 5 common significant SNPs in two analysis results were, respectively, identified associated with 10RIBBFT and D100, and correspondingly explained 2.09% and 0.52% of the additive genetic variance of 10RIBBFT and D100. Further bioinformatics analysis revealed 10 genes harboring or close to these common significant SNPs, 5 for 10RIBBFT and 5 for D100. In particular, Gene Ontology analysis highlighted 6 genes, PCK1, ANGPTL3, EEF1A2, TNFAIP8L3, PITX2, and PLA2G12, as promising candidate genes relevant with backfat thickness and growth. PCK1, ANGPTL3, EEF1A2, and TNFAIP8L3 could influence backfat thickness through phospholipid transport, regulation of lipid metabolic process through the glycerophospholipid biosynthesis and metabolism pathway, the metabolism of lipids and lipoproteins pathway. PITX2 has a crucial role in skeletal muscle tissue development and animal organ morphogenesis, and PLA2G12A plays a role in the lipid catabolic and phospholipid catabolic processes, which both are involved in the body weight pathway. All these candidate genes could directly or indirectly influence fat production and growth in Yorkshire pigs. Our findings provide novel insights into the genetic basis of growth and fatness traits in pigs. The candidate genes for D100 and 10RIBBFT are worthy of further investigation.

Theoretical investigation of the strengthening mechanism and precipitation evolution in high strength Al-Zn-Mg alloys

Density-functional theory calculations have been performed to systematically investigate the behaviors of solute atoms in 7000 series Al-Zn-Mg based alloys. It is found that solute atoms Mg and Zn are likely to segregate to the Σ5(210)[001] tilt Al GB. The bonding environment and interface cohesion will be affected to different degrees. Also, for GPI(100) our calculations indicate that a Zn/Mg/Zn sandwich configuration in the Al matrix (100) planes is energetically favorable. However, for GPII(111) the disordered structure turns out to be the most stable one. It mainly results from strong 3d-3s hybridization interactions between Zn and Mg atoms. Furthermore, the properties of the metastable phase η' and the equilibrium phase η have also been addressed. The present study provides valuable insight for developing Al alloys with superior performance.

Highly polarization sensitive photodetectors based on quasi-1D titanium trisulfide (TiS3)

Photodetectors with high polarization sensitivity are in great demand in advanced optical communication. Here, we demonstrate that photodetectors based on titanium trisulfide (TiS₃) are extremely sensitive to polarized light (from visible to the infrared), due to its reduced in-plane structural symmetry. By density functional theory calculation, TiS₃ has a direct bandgap of 1.13 eV. The highest photoresponsivity reaches 2500 A W^-1. What is more, in-plane optical selection caused by strong anisotropy leads to the photoresponsivity ratio for different directions of polarization that can reach 4:1. The angle-dependent photocurrents of TiS₃ clearly display strong linear dichroism. Moreover, the Raman peak at 370 cm^-1 is also very sensitive to the polarization direction. The theoretical optical absorption of TiS₃ is calculated by using the HSE06 hybrid functional method, in qualitative agreement with the observed experimental photoresponsivity.

Differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma using magnetic resonance imaging: The value of contrast-enhanced and diffusion weighted imaging

Pancreatic neuroendocrine carcinoma (PNEC) is often misdiagnosed as pancreatic ductal adenocarcinoma (PDAC). This retrospective study differentiated PNEC from PDAC using magnetic resonance imaging (MRI), including contrast-enhanced (CE) and diffusion-weighted imaging (DWI). Clinical data and MRI findings, including the T1/T2 signal, tumor boundary, size, enhancement degree, and apparent diffusion coefficient (ADC), were compared between 37 PDACs and 13 PNECs. Boundaries were more poorly defined in PDAC than PNEC (97.3% vs. 61.5%, p<0.01). Hyper-/isointensity was more common in PNEC than PDAC at the arterial (38.5% vs. 0.0), portal (46.2% vs. 2.7%) and delayed phases (46.2% vs. 5.4%) (all p<0.01). Lymph node metastasis (97.3% vs. 61.5%, p<0.01) and local invasion/distant metastasis (86.5% vs. 46.2%, p<0.01) were more common in PDAC than PNEC. Enhancement degree via CE-MRI was higher in PNEC than PDAC at the arterial and portal phases (p<0.01). PNEC ADC values were lower than those of normal pancreatic parenchyma (p<0.01) and PDAC (p<0.01). Arterial and portal phase signal intensity ratios and ADC values showed the largest areas under the receiver operating characteristic curve and good sensitivities (92.1%–97.2%) and specificities (76.9%–92.3%) for differentiating PNEC from PDAC. Thus the enhancement degree at the arterial and portal phases and the ADC values may be useful for differentiating PNEC from PDAC using MRI.

BOLD MRI to evaluate early development of renal injury in a rat model of diabetes

Objective

To investigate changes in renal oxygenation levels by blood-oxygenation-level dependent (BOLD)-magnetic resonance imaging (MRI), and to evaluate BOLD-MRI for detecting early diabetic renal injury.

Methods

Seventy-five rats, with unilateral nephrectomy, were randomly divided into streptozotocin-induced diabetes mellitus (DM, n = 65) and normal control (NC, n = 10) groups. BOLD-MRI scans were performed at baseline (both groups) and at 3, 7, 14, 21, 28, 35, 42, 49, 56, 63 and 70 days (DM only). Renal cortical (C) and medullary (M) R2* signals were measured and R2* medulla/cortex ratio (MCR) was calculated.

Results

DM-group CR2* and MR2* values were significantly higher than NC values following diabetes induction. R2* values increased gradually and peaked at day 35 (CR2*, 33.95 ± 0.34 s^–1; MR2*, 43.79 ± 1.46 s^–1), then dropped gradually (CR2*, 33.17 ± 0.69 s^–1; MR2*, 41.61 ± 0.95 s^–1 at day 70). DM-group MCR rose gradually from 1.12 to 1.32 at day 42, then decreased to 1.25 by day 70.

Conclusions

BOLD-MRI can be used to non-invasively evaluate renal hypoxia and early diabetic renal injury in diabetic rats. MCR may be adopted to reflect dynamic changes in renal hypoxia.

Genomic prediction for growth and reproduction traits in pig using an admixed reference population

This study investigated the efficiency of genomic prediction using an admixed reference population comprising 3 Yorkshire populations with different genetic backgrounds. In total, 2,084 and 1,388 individuals with growth and reproduction records, respectively, were genotyped with a PorcineSNP80 marker panel. The corrected phenotypic values derived from conventional EBV of each population were taken as response variables. Three approaches, that is, a linear genomic BLUP (GBLUP) model, a Bayesian mixture model (BayesR), and single-step GBLUP (ssGBLUP), were implemented to predict genomic breeding values. Our results indicated that the accuracy of genomic prediction was increased by enlarging the reference population by admixing different populations. However, the improvement was lower than expected, because the relationships among individuals of different populations were not strong enough. Among the 3 approaches, for reproduction and growth traits, ssGBLUP produced 30 to approximately 38% and 23 to 31%, respectively, higher accuracy than GBLUP. And the ssGBLUP produced 28 to approximately 38% and 18 to approximately 31% higher accuracy than BayesR. In addition, ssGBLUP also yielded lower bias. In most situations, BayesR performed comparably to GBLUP for most traits. Our results indicated ssGBLUP using an admixed reference population is also meaningful for national joint genetic evaluation of Chinese pig breeding.

Anti-atherosclerotic effect of Longxuetongluo Capsule in high cholesterol diet induced atherosclerosis model rats

Chinese dragon's blood, the red resin of Dracaena cochinchinensis, one of the famous traditional medicines, has been used to promote blood circulation, disperse blood stasis, stop bleeding, relieve pain and muscle regeneration for thousands of years. The aims of this study were to evaluate the anti-atherosclerotic effect of Longxuetongluo Capsule (LTC), which made by total phenolic compounds of Chinese dragon's blood, in high cholesterol diet (HCD)-induced atherosclerosis model rats and explore the possible mechanism. Atherosclerosis rats were induced by administration of HCD for 4 weeks and treated with atorvastatin (2.08mg/kg/d) or various concentrations of LTC (81, 162 and 324mg/kg/d) for additional 4 weeks. Body weight (BW), lipid profiles, serum VCAM-1, ICAM-1, MCP-1, AST and ALT were then tested. Histopathological evaluation of aorta and liver were determined by hematoxylin and eosin staining. NF-κB expression in aorta was detected by Immunohistochemical staining. Meanwhile, the inhibition effects of LTC on the migration and proliferation and Intracellular Ca²⁺ levels induced by PDGF-BB were also evaluated in rat aortic smooth muscle cells (A7r5). The results demonstrated that LTC produced a significant anti-atherosclerotic activity in terms of reduction in serum lipids and lipoprotein profile, VCAM-1, ICAM-1, MCP-1, AST, ALT levels, and increase in HDL-c level compared to atherosclerotic group. Rats treated with LTC not only attenuated the pathological region and atheroma formation, but also reduced hepatic steatosis and inflammatory cell infiltration. Immunohistochemical analysis showed LTC reduced NF-κB expression in aorta. Furthermore, PDGF-BB induced proliferation and migration of A7r5 and intracellular calcium rise were also abrogated by LTC. The results indicate that LTC prevents atherosclerosis and fatty liver by controlling lipid metabolism, the underlying mechanism may attributed to its anti-inflammation activity, regulation of the vascular smooth muscle function and intracellular calcium signaling.

[Long-term outcomes after cataract surgery in infants with congenital cataract]

Objective: To observe the long-term outcomes after congenital cataract surgery performed prior to 36 months of age. Methods: A retrospective case study was conducted. Thirty-two cases (57 eyes) of congenital cataract were included from January 2004 to January 2012. All patients received intraocular lens (IOL) implantation with posterior continuous curvilinear capsulorhexies and anterior vitrectomy after cataract extraction and were followed up. At the last visit, the best corrected visual acuity (BCVA) was determined and postoperative complications were evaluated during follow-up with a longest time of 13 years. Non-normal distribution showed in median M (minimum and maximum). Data were analyzed by Kruskal Wallis single factor variance analysis and multiple comparison. The independent Mann-Witney U test was used to analyze non-normal distribution data. Results: There were thirty-two cases (57 eyes) of congenital cataract including 7 unilateral cases and 25 bilateral cases. The median age at cataract extraction was 6.0months; the median IOL implantation age was 28.0 months and the median duration of follow-up after cataract extraction was 67.0 months. The median postoperative BCVA was (LogMAR) 0.52. Unilateral and bilateral cataract postoperative BCVA difference had no statistical significance (U=107, P>0.05). Patients received cataract surgery in 2 to 4 months, the postoperative BCVA was better than in 5 to 8 months. The difference was statistical significance (H=-15.33, P<0.05). BCVA after IOL implantation before 24 months were significantly better than after 30 months. The difference had statistical significance(H=-20.61,-20.78, P<0.05). Postoperative complications were posterior capsular opacity (5 eyes; 8.77%), glaucoma (2 eyes; 3.51%), strabismus (17 eyes; 29.82%) and nystagmus (30 eyes; 52.63%). Conclusions: Most infantile cataract surgeries performed prior to 36 mouths of life together with the implantation of IOL can achieve good visual acuity. No serious complications occurred. (Chin J Ophthalmol, 2017, 53: 266-273).

Replication Protein A 3 Is Associated with Hepatocellular Carcinoma Tumorigenesis and Poor Patient Survival

BACKGROUND

Replication protein A (RPA) 3 is a subunit of the RPA protein complex, which functions in multiple processes of DNA metabolism. Dysregulation of RPA1 and RPA2 has been implicated in tumor progression in several cancer types. However, the function of RPA3 in hepatocellular carcinoma (HCC) tumorigenesis has not been elucidated.

METHOD

In this study, we investigated the function of RPA3 in HCC development by stably knocking down its expression using short hairpin RNA (shRNA) in HepG2 cell line, followed by cell proliferation, colony formation, soft agar, and invasion assays. Xenograft experiment was performed to examine in vivo tumor-promoting properties of RPA3.

RESULTS

Downregulation of RPA3-inhibited cell proliferation, colony formation, soft agar growth as well as invasion in HepG2 cells were observed. Stable knockdown of RPA3 significantly inhibited tumor growth in the xenograft mouse model. In addition, qRT-PCR analysis revealed that RPA3 was upregulated in human HCC tissues compared with matched noncancerous adjacent tissues (NATs). High expression of RPA3 was associated with poor overall survival and disease-free survival.

CONCLUSION

Elevated expression of RPA3 promotes tumor progression in HCC cells. RPA3 is upregulated in HCC tissues and high expression of RPA3 is associated with poorer patient survival. Therefore, this protein may represent a novel therapeutic target for intervention of HCC and prognostic biomarker for patient survival.

[Characteristics of postviral olfactory disorder]

Objective: To explore the clinical characteristics of patients with olfactory dysfunction after upper respiratory tract infection. Methods: Through clinical specialist examination and imaging examination, 95 cases of patients with olfactory dysfunction after upper respiratory tract infection were confirmed, 58 cases in anosmia group and 37 cases in hyposmia group. All were performed by a subjective olfactometry (Sniffin'Sticks test) and a subjective taste function tests. The results were statistically analyzed by SPSS 17.0 software. Results: In 58 cases of anosmia group, 21 cases of male, 37 cases of female; Twenty-six cases of youth, 23 cases of middle age, 9 cases of old age; Twenty-seven cases occurs in spring, 11 cases in summer, 12 in autumn and 8 in winter. Among 37 cases of hyposmia group, 12 cases of male, 25 cases of female; Eighteen cases of youth, 16 cases of middle age, 3 cases of old age; Fourteen cases occurs in spring, 8 cases in summer, 7 in autumn and 8 in winter. There was no statistically significant difference in gender, age and the onset season between the two groups(χ²=0.142, P>0.05; χ²=1.124, P>0.05; χ²=1.335, P>0.05). In anosmia group, with 4 cases of ageusia, 22 cases of hypogeusia, 32 cases of normal taste; in hyposmia group, with 0 cases of ageusia, 10 cases of hypogeusia, 27 cases of normal taste. There were significant differences between the two groups with different types of taste disorder(Pearson correlation coefficient r=0.210, P<0.05), it was positive correlation. Conclusions: It is suggested that after the upper respiratory tract infection, the olfactory dysfunction is often accompanied by the sense of taste dysfunction, the more severe the damage of olfactory function, the degree of damage to the taste function is also increased. Olfactory impairment degree exhibited no relationship with gender, age or onset seasons.

Value of diffusion-weighted magnetic resonance imaging in predicting World Health Organization grade in G1/G2 pancreatic neuroendocrine tumors

The present study aimed to investigate the value of diffusion-weighted magnetic resonance imaging (DWI) in the grading of well-differentiated pancreatic neuroendocrine tumors (PanNETs). A total of 44 patients with histologically proven well-differentiated PanNET [grade 1 (G1) and grade 2 (G2) according to the World Health Organization (WHO) criteria] underwent pretreatment magnetic resonance imaging (MRI), which was retrospectively analyzed. The location, size, cystic or solid appearance, boundary, presence or absence of tumor contrast enhancement, and MRI signal of the tumor were assessed. Apparent diffusion coefficients (ADCs) within the primary tumor were measured on ADC maps. Receiver operating characteristic curves were used to determine ADC cut-off values and the sensitivity and specificity of the grade prediction. Spearman's rank correlation was utilized to probe the association between ADC value and PanNET grade or pathological parameters. G1 tumors exhibited a well-circumscribed border more often than G2 tumors. No marked differences were observed between PanNET G1 and PanNET G2 for cystic or solid appearance, enhancement, and T1- and T2-weighted imaging signals. Marked hyperintensities were more common in PanNET G2 tumors than in PanNET G1 tumors (P<0.01). The mean ADC values were statistically different between the normal pancreas and G1 and G2 tumors (P<0.01), and between PanNET G1 and PanNET G2 (P<0.05). Correlation analysis showed that ADC value was negatively correlated with PanNET grade, mitotic count and Ki-67 proliferation index (P<0.05). The cut-off ADC value was 0.930×10^-3 mm²/sec, which identified G2 tumors with 82.4% sensitivity and 79.5% selectivity. ADC value therefore represents a non-invasive and valuable imaging parameter in predicting the WHO grade of tumors in well-differentiated PanNET.

Pancreatic neuroendocrine neoplasms at magnetic resonance imaging: comparison between grade 3 and grade 1/2 tumors

Background

The grading of pancreatic neuroendocrine neoplasms (PanNENs) is associated with the choice of treatment strategy. The aim of this study is to identify the magnetic resonance imaging (MRI) features in differentiating pancreatic neuroendocrine tumors (PanNETs) grade 1/2 (G1/G2) and pancreatic neuroendocrine carcinoma grade 3 (PanNEC G3).

Patients and methods

A total of 59 patients with histologically proven PanNENs and who underwent pretreatment MRI were retrospectively analyzed. Tumor location, size, boundary, cystic or solid appearance, enhancement degree, pancreatic duct dilatation, metastases and MRI signal were evaluated. Apparent diffusion coefficients (ADCs) were measured on ADC maps. Receiver operating characteristic curve was used to determine the cut off values and the sensitivity and specificity of prediction. Spearman correlation and logistic regression analysis were adopted to identify the association between MRI features and pathological parameters.

Results

A total of 47 lesions were PanNETs G1/G2 and 12 lesions were PanNEC G3. G1/G2 tumors were more common with well-circumscribed border compared with PanNEC G3. Ill- defined boundary, big size, necrosis, low-moderate enhancement, pancreatic duct dilatation, metastases and high diffusion-weighted imaging (DWI) intensity were more common in PanNEC G3 than in PanNETs G1/G2. The ADC values of PanNEC G3 were also significantly lower compared with the PanNETs G1/G2 and normal pancreatic parenchyma. The cut off value of ADC was 0.95×10⁻³ mm²/s for differentiating PanNEC G3 from PanNETs G1/G2 with 72.3% sensitivity and 91.6% specificity, respectively. Ki-67 index and mitosis count positively correlated with tumor size, pancreatic duct dilatation and metastases (P<0.05) and negatively correlated with ADC values (P<0.01), respectively. Regression analysis further showed that metastases and ADC value were associated with PanNENs grade.

Conclusion

Metastases and ADC value may have potential for differentiating PanNEC G3 from PanNETs G1/G2.

Piccolo mediates EGFR signaling and acts as a prognostic biomarker in esophageal squamous cell carcinoma

The presynaptic cytomatrix protein Piccolo, encoded by PCLO, is frequently mutated and amplified in esophageal squamous cell carcinoma (ESCC), but its exact roles in ESCC remain unclear. Here we report that Piccolo expression correlates significantly with clinical stage, patient survival and tumor embolus. Functional studies demonstrate that PCLO knockdown remarkably attenuates ESCC malignancy in vitro and in vivo, and ectopic EGFR expression partially compensates for Piccolo loss. PCLO knockdown promotes ubiquitination and degradation of EGFR, which is associated with the negative regulatory effect of Piccolo on E3 ligase Siah1. An anti-Piccolo monoclonal antibody inhibited tumor proliferation in a mouse model of ESCC. These results demonstrate that Piccolo contributes to tumor aggressiveness in ESCC, likely by stabilizing EGFR and promoting EGFR-dependent signaling. Our results further suggest that Piccolo may represent a novel prognostic biomarker and therapeutic target for patients with ESCC.

[Targeted degradation of epidermal growth factor receptor in nasopharyngeal carcinoma by chimeric molecule]

Objective:The aim of this study was to investigate targeted degradation of the epidermal growth factor receptor (EGFR) by chimeric molecules (EGF-PROTAC) via the ubiquitin-proteasome pathway on human nasopharyngeal carcinoma CNE-2 cells and demonstrate the regulative effect on the proliferation and apoptosis of the CNE-2 cells.Method:After the EGF-PROTAC treating CNE-2 cells in vitro, the biological effects of the EGF-PROTAC was detected by western blot, CKK-8 assay, flow cytometry and Transwell migration assay in CNE-2 cells.Result:The expression level of EGFR proteins in the EGF-PROTAC treated group was lower than the control group (P< 0.05); CKK-8 assay results showed that CNE-2 cells survival rate at 3, 6, 9 and 12h decreased greatly than the control group (P< 0.05); Flow cytometry indicated that the apoptosis index of the CNE-2 cells in EGF-PROTAC treated group was significantly higher than the control group (P< 0.05); The invasion ability detected that the number of CNE-2 cells in the EGF-PROTAC treated group was significantly lower than the control group (P< 0.05).Conclusion:The chimeric molecule (EGF-PROTAC) can target the degradation of epidermal growth factor receptors (EGFR) and effectively inhibit the growth of the CNE-2 cells and promote apoptosis in vitro.

Effect of meteorological factors on photovoltaic power forecast based on the neural network

In this paper, the effects of meteorological factors (including air temperature, wind speed, and relative humidity) on photovoltaic (PV) power forecast using neural network models have been studied.