Adaptive Weighted Error-Correction Method Based on the Error Distribution Characteristics of Multi-Channel Alignment

As process nodes of advanced integrated circuits continue to decrease below 10 nm, the requirement for overlay accuracy is becoming stricter. The alignment sensor measures the position of the alignment mark relative to the wafer; thus, sub-nanometer alignment position accuracy is vital. The Phase Grating Alignment (PGA) method is widely used due to its high precision and stability. However, the alignment error caused by the mark asymmetry is the key obstacle preventing PGA technology from achieving sub-nanometer alignment accuracy. This error can be corrected using many methods, such as process verification and multi-channel weighted methods based on multi-diffraction, multi-wavelength and multi-polarization state alignment sensors. However, the mark asymmetry is unpredictable, complex and difficult to obtain in advance. In this case, the fixed-weight method cannot effectively reduce the alignment error. Therefore, an adaptive weighted method based on the error distribution characteristic of a multi-channel is proposed. Firstly, the simulation result proves that the error distribution characteristic of the multi-alignment result has a strong correlation with the mark asymmetry. Secondly, a concrete method of constructing weight values based on error distribution is described. We assume that the relationship between the weight value of each channel and the deviations of all channels' results is second-order linear. Finally, without other prior process correction in the simulation experiment, the residual error's Root Mean Square (RMS) of fixed weighted method is 14.0 nm, while the RMS of the adaptive weighted method is 0.01 nm, when dealing with five typical types of mark asymmetry. The adaptive weighted method exhibits a more stable error correction effect under unpredictable and complicated mark asymmetry.

Institutional Validation Study Inferring 2% MGMT Methylation Positive Impact on Survival in Newly Diagnosed Glioblastoma (GBM) Patients

PURPOSE/OBJECTIVE(S)

O6-methylguanine DNA methyltransferase (MGMT) MATERIALS/METHODS: is a well-established prognostic factor in patients with newly diagnosed glioblastoma (GBM). However, there is no consensus on a standardized method of threshold for MGMT testing. Previous studies have reported levels of as little as 1-3% to confer better prognosis. This study reports a single institutional experience of determining methylation status via methylation-sensitive high-resolution melting (MS-HRM). Previous literature suggests 10% cutoff for MGMT methylation using MS-HRM. We hereby report clinical outcomes using a lower threshold of 2%.

MATERIALS/METHODS

GBM patients treated at our institution retrospectively reviewed between the years 2013 and 2022 were included in the study. Patients who received hypofractionated radiation (<60 Gy) were excluded. All patients had MS-HRM test for MGMT methylation status. A real-time PCR assay was used to amplify a 62 base-pair region of MGMT for both methylated and unmethylated alleles. PCR products underwent HRM analysis and the fraction of methylated DNA was determined by comparison with a standard curve. Clinical data were collected retrospectively. Kaplan-Meier and log-rank tests were performed to compare survival.

RESULTS

A total of 181 patients with newly diagnosed GBM were initially included in this study. 42 patients treated with hypofractionated radiation were excluded. All patients received concurrent and maintenance temozolomide. Median age was 61.5 years. A total of 84 patients had MGMT methylation levels <2%, and 55 patients had MGMT methylation level ≥ 2% with a median methylation level of 28.5% (Range 0.8%-100%). Patients with MGMT methylation level ≥ 2% had an improved median overall survival (25.1 vs 16.0 months; p = 0.006) and improved median progression free survival (11.3 vs 7.9 months; p = 0.017). In a multivariable mode that included age, use of tumor-treating fields, KPS, sex, and BMI, only age, KPS, and MGMT remained significant.

CONCLUSION

Our institutional review confirmed low level of MGMT hypermethylation (≥ 2%) predicts improved outcome in patients with newly diagnosed GBM. Further investigation on optimal cut off level for MGMT methylation is still warranted.

Body Mass Index (BMI) at Time of Diagnosis as a Prognostic Indicator in Patients with Newly Diagnosed Glioblastoma (GBM)

PURPOSE/OBJECTIVE(S)

Glioblastoma (GBM) is the most common primary brain cancer in adults with very poor prognosis. Metabolic drivers of tumorigenesis are highly relevant within the central nervous system, where glucose is the sole source of energy. The impact of obesity on survival outcomes in patients with GBM has not been well reported and some initial results are inconsistent. This study investigates the factor of body mass index (BMI) in patients diagnosed with GBM. This study evaluated the prognostic association of BMI with survival outcomes in patients with newly diagnosed GBM.

MATERIALS/METHODS

Patientswith newly diagnosed GBM at our institution from 2015-2022 were included in this study. All patients were >18 years of age and received 60 Gy of radiation therapy with concurrent and adjuvant temozolomide following maximal safe resection. Through retrospective chart review, patient BMI at the time of diagnosis and overall survival (OS) were recorded. Analysis was done between patient groups of underweight/normal weight (BMI <25) and overweight/obese (BMI ≥ 25.00). The subgroup of overweight patients was also divided into subgroups of overweight (BMI 25.00-29.99) and obese (BMI≥30.00). A difference in clinical outcomes of overall survival was evaluated between the groups using Gehan-Breslow-Wilcoxon and log-rank tests.

RESULTS

Atotal of 393 patients met inclusion criteria. Median age 57.3 years, range 18.8-92.7. 185 female and 208 were male. 120 patients had a BMI <25 and 273 had a BMI ≥ 25.00. Median survival in patients with BMI <25 was 24.90 months and in patients with BMI ≥ 25.00, 18.20 months (p = 0.0001; HR 0.6552, 95% CI 0.5299-0.8101). We further divided patients with BMI ≥ 25.00 to 25-29.99 (n = 152) and BMI≥30.00 (n = 121). Both groups' OS were significantly worse than patients with BMI < 25 (p = 0.006). There was no difference in survival outcomes between patients with a BMI 25.00-29.99 and BMI≥30.00, with median OS 19.0 months and 18.1 months, respectively.

CONCLUSION

Patient baseline BMI <25 appears to be a prognostic indicator and correlates to improves overall survival for patients with newly diagnosed GBM. This study adds to the existing literature supporting overweight/obesity is associated with worse survival for GBM patients. Additional studies are warranted for further analysis of BMI and survival outcomes in GBM patients across patient demographics.

Artificial Intelligence-Assisted Evaluation of the Spatial Relationship between Brain Arteriovenous Malformations and the Corticospinal Tract to Predict Postsurgical Motor Defects

BACKGROUND AND PURPOSE

Preoperative evaluation of brain AVMs is crucial for the selection of surgical candidates. Our goal was to use artificial intelligence to predict postsurgical motor defects in patients with brain AVMs involving motor-related areas.

MATERIALS AND METHODS

Eighty-three patients who underwent microsurgical resection of brain AVMs involving motor-related areas were retrospectively reviewed. Four artificial intelligence-based indicators were calculated with artificial intelligence on TOF-MRA and DTI, including FN5mm/50mm (the proportion of fiber numbers within 5-50mm from the lesion border), FN10mm/50mm (the same but within 10-50mm), FP5mm/50mm (the proportion of fiber voxel points within 5-50mm from the lesion border), and FP10mm/50mm (the same but within 10-50mm). The association between the variables and long-term postsurgical motor defects was analyzed using univariate and multivariate analyses. Least absolute shrinkage and selection operator regression with the Pearson correlation coefficient was used to select the optimal features to develop the machine learning model to predict postsurgical motor defects. The area under the curve was calculated to evaluate the predictive performance.

RESULTS

In patients with and without postsurgical motor defects, the mean FN5mm/50mm, FN10mm/50mm, FP5mm/50mm, and FP10mm/50mm were 0.24 (SD, 0.24) and 0.03 (SD, 0.06), 0.37 (SD, 0.27) and 0.06 (SD, 0.08), 0.06 (SD, 0.10) and 0.01 (SD, 0.02), and 0.10 (SD, 0.12) and 0.02 (SD, 0.05), respectively. Univariate and multivariate logistic analyses identified FN10mm/50mm as an independent risk factor for long-term postsurgical motor defects (P = .002). FN10mm/50mm achieved a mean area under the curve of 0.86 (SD, 0.08). The mean area under the curve of the machine learning model consisting of FN10mm/50mm, diffuseness, and the Spetzler-Martin score was 0.88 (SD, 0.07).

CONCLUSIONS

The artificial intelligence-based indicator, FN10mm/50mm, can reflect the lesion-fiber spatial relationship and act as a dominant predictor for postsurgical motor defects in patients with brain AVMs involving motor-related areas.

[Molluscicidal effect of immersion with 50% wettable powder of niclosamide ethanolamine salt against Oncomelania hupensis on the soil surface and inside the soil layer in winter]

OBJECTIVE

To evaluate the molluscicidal effect of 50% wettable powder of niclosamide ethanolamine salt (WPNES) against Oncomelania hupensis on the soil surface and inside the soil layer by immersion method in winter.

METHODS

O. hupensis snails were placed on the soil surface and 2, 5 cm and 10 cm under the soil layer outdoors in winter, and then immersed in 50% WPNES at concentrations of 1 mg/L and 2 mg/L for 1, 3 d and 7 d, while dechlorinated water served as controls. Snail mortality was observed following immersion with 50% WPNES on the soil surface and inside the soil layer.

RESULTS

Following immersion with 50% WPNES at concentrations of 2 mg/L and 1 mg/L outdoors in winter, the 3-day corrected snail mortality rates were 98.0% and 76.0% on the soil surface, and the 7-day corrected snail mortality rate was both 100.0%. Following immersion with 50% WPNES at concentrations of 2 mg/L and 1 mg/L outdoors in winter, the 7-day corrected snail mortality rates were 95.5% and 85.6% 2 cm below the soil layer, 66.0% and 6.4% 5 cm below the soil layer. However, the 7-day snail mortality rate swere comparable between the 50% WPNES treatment group (at 2 mg/L and 1 mg/L) and controls 10 cm below the soil layer (both P > 0.05).

CONCLUSIONS

Immersion of 50% WPNES at a concentration of 2 mg/L for 7 days presents a high molluscicidal efficacy against O. hupensis on the soil surface and 5 cm within the soil layers in winter.

Efficacy of risankizumab in patients with moderate-to-severe plaque psoriasis by baseline demographics, disease characteristics and prior biologic therapy: an integrated analysis of the phase III UltIMMa-1 and UltIMMa-2 studies

BACKGROUND

Risankizumab is a humanized IgG monoclonal antibody that selectively inhibits interleukin-23 through binding the p19 subunit. In Phase 3 trials, risankizumab demonstrated superior efficacy compared with adalimumab and ustekinumab in patients with moderate-to-severe plaque psoriasis. Here, we evaluated the impact of baseline characteristics on efficacy of risankizumab compared with ustekinumab in patients with moderate-to-severe plaque psoriasis.

METHODS

This analysis included all patients initially randomized to risankizumab or ustekinumab from the replicate, double-blinded, randomized, placebo-controlled phase 3 trials, UltIMMa-1 (NCT02684370) and UltIMMa-2 (NCT02684357). Patients received either risankizumab (150 mg) or ustekinumab (weight-based; 45 or 90 mg per label) at weeks 0, 4, 16, 28 and 40. Efficacy was assessed as the proportion of patients achieving ≥90% improvement in Psoriasis Area and Severity Index (PASI 90) at weeks 16 and 52 by baseline patient demographics, disease characteristics and prior biologic exposure. Mean per cent improvement in PASI was calculated by body weight and body mass index at week 52. Missing efficacy data were imputed as non-responders for categorical variables and last observation carried forward for continuous variables. Logistic regression analyses assessed for interactions between treatment and five independent variables (age, sex, weight, baseline PASI score and presence of psoriatic arthritis) at both weeks 16 and 52.

RESULTS

Baseline patient demographics, disease characteristics and prior biologic exposure were similar between patients randomized to risankizumab (n = 598) and ustekinumab (n = 199). At weeks 16 and 52, risankizumab demonstrated superior efficacy compared with ustekinumab across these patient characteristics (P < 0.01). Logistic regression analyses demonstrated that risankizumab was superior to ustekinumab at weeks 16 and 52 in all models tested (P < 0.0001 for all).

CONCLUSIONS

Risankizumab demonstrated consistent and superior efficacy compared with ustekinumab regardless of patient demographics, disease characteristics or prior biologic exposure.

Integrated analysis of differentially expressed genes in esophageal squamous cell carcinoma using bioinformatics

Esophageal squamous cell carcinoma (ESCC) is a deadly disease. To identify key genes in esophageal squamous cell carcinoma, we followed a strategy utilizing the laiurger microarray dataset (GSE38129) as the training set and another independent microarray dataset (GSE20347) as the validation set. Following quality control, differentially expressed genes (DEGs) were obtained using R software. Functional enrichment analysis was performed using DAVID database and the DEG co-expression network was established with Weighted Gene Co-Expression Network Analysis (WGCNA) and visualized by Cytoscape. The prognosis-related hub genes were then identified by Kaplan-Meier analysis based on the TCGA database. A total of 188 DEGs were obtained; 88 up-regulated genes and 100 down-regulated. The up-regulated DEGs were significantly associated with extracellular matrix organization and disassembly while down-regulated DEGs were significantly related to keratinocyte differentiation. Blue and turquoise co-expression modules were established and 18 hub genes were identified. The blue module was associated with mitotic nuclear division, cell division and mitotic cytokinesis and the turquoise module was associated with collagen catabolic process, extracellular matrix organization and keratinocyte differentiation. We established that the TPX2, CDK1 and CEP55 blue module hub genes were associated with relapse-free survival, and our overall results not only identify key genes but also provide potential novel biomarkers for ESCC diagnosis and treatment.

Preventive use of carvedilol for anthracycline-induced cardiotoxicity: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Clinical or subclinical cardiotoxicity is a concern for cancer patients receiving anthracycline-based chemotherapy. Carvedilol is promising for preventing anthracycline-induced cardiotoxicity (AIC). This review appraised the preventive effects of carvedilol against AIC based on randomized controlled trials (RCTs).

METHODS

The Cochrane Collaboration Central Register of Controlled Trials, PubMed, and Embase databases were searched from inception to March 27, 2018. RCTs using carvedilol for the prevention of AIC were selected. Risk of bias and methodological quality were assessed. Meta-analysis was conducted, when applicable, for the trial endpoints; otherwise the data were analyzed descriptively.

RESULTS

Nine RCTs comprising 717 patients were selected. The risk of bias was unclear and the methodological quality differed substantially. Data pooling of five eligible studies indicated no decreased mortality in patients receiving carvedilol (risk difference = -0.02, 95% CI: -0.07-0.04, p = 0.57, I² = 44%). The impact on the incidence of left ventricular systolic dysfunction (LVSD) was inconsistently reported but meta-analysis was not applicable due to discordant LVSD definitions. Data pooling of eight studies and a subgroup analysis indicated a higher left ventricular ejection fraction (LVEF) with substantial heterogeneity in the carvedilol group (mean difference [MD] = 5.23, 95% CI: 2.20-8.27, p = 0.0007, I² = 95%, and MD = 4.65, 95% CI: 0.67-8.64, p = 0.02, I² = 90%, respectively). Further analysis of echocardiographic parameters and biomarkers showed weak evidence of improvement in diastolic function and troponin I level by carvedilol administration.

CONCLUSION

Preventive use of carvedilol in patients undergoing anthracycline-based chemotherapy may be associated with a reduced incidence of LVSD, higher LVEF value, better diastolic function, and lower troponin I level. RCTs with larger sample size and longer follow-up are needed to verify these findings.

[A preliminary study of Dao gao yao huang shi shu (Oath of Praying for the King of Medicine), a Chinese version of Hippocratic Oath]

Dao gao yao huang shi shu (Oath of Praying for the King of Medicine), also called Wang jia zan qi shi (Wang Jiazan's Seven Oaths), published in the Fifty-seventh Year of Qianlong Reign (1792) of the Qing Dynasty in the Wu yi hui jiang (Collected Discourses of Doctors from Wu Region), the earliest medical periodicals in China, was the earliest Doctor's Oath ever seen since doctors inherited the traditional medical ethics, that is, a Chinese version of Hippocratic Oath. Sun Simiao's Da yi jing cheng (Proficiency and Sincerity of Great Doctors) was a superb essay of medical ethics without using the style of oath, while Dao gao yao huang shi shu was a complete model of "Oath Statement" from its title to the contents. It inherited the contents from Da yi jing cheng and enriched its connotation of "forbearance to humiliation and enduring poverty" . What's more, its systematization and stylization of oath mark that China's medical ethics as a norm, a creed and a normative expression starts to sprout and germinate, and becomes one of the signs of the gradual maturity of profession of traditional Chinese medicine.

Wnt signaling in cancer

Wnt signaling is one of the key cascades regulating development and stemness, and has also been tightly associated with cancer. The role of Wnt signaling in carcinogenesis has most prominently been described for colorectal cancer, but aberrant Wnt signaling is observed in many more cancer entities. Here, we review current insights into novel components of Wnt pathways and describe their impact on cancer development. Furthermore, we highlight expanding functions of Wnt signaling for both solid and liquid tumors. We also describe current findings how Wnt signaling affects maintenance of cancer stem cells, metastasis and immune control. Finally, we provide an overview of current strategies to antagonize Wnt signaling in cancer and challenges that are associated with such approaches.

MIM regulates the trafficking of bone marrow cells via modulating surface expression of CXCR4

Missing in metastasis (MIM) is abundantly expressed in hematopoietic cells. Here we characterized the impact of MIM deficiency on murine bone marrow (BM) cells. Although MIM^-/- cells proliferated similarly to wild type (WT), they exhibited stronger response to chemokine SDF-1, increase in surface expression of CXCR4, impaired CXCR4 internalization and constitutive activation of Rac, Cdc42 and p38. Transplantation of MIM^-/- BM cells into lethally irradiated mice showed enhanced homing to BM, which was abolished when mice were pretreated with a p38 antagonist. Interestingly, MIM^-/- BM cells, including hematopoietic stem and progenitor cells (HSPCs), showed 2 to 5-fold increase in mobilization into the peripheral blood upon treatment with AMD3100. In vitro, MIM^-/- leukocytes were susceptible to AMD3100 and maintained increased response to AMD3100 for mobilization even after transfer into wild type mice. MIM^-/- mice had also a higher level of SDF-1 in the circulation. Our data highlighted an unprecedented role of MIM in the homoeostasis of BM cells, including HSPCs, through modulation of the CXCR4/SDF-1 axis and interactions of BM leukocytes with their microenvironments.

Therapeutic effect of Pleurotus eryngii cellulose on experimental fatty liver in rats

The aim of this study was to explore the therapeutic effect of Pleurotus eryngii cellulose on experimental fatty liver in rats. Rats were fed high-fat fodder to establish a rat fatty liver model, and were then fed different concentrations of Pleurotus eryngii cellulose for six weeks. Lipitor was used as a positive control. Measured levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), total cholesterol (TC), and total triglyceride (TG); the activity of malondialdehyde (MDA), superoxide dismutase (SOD), hepatic lipase (HL), and lipoprotein lipase; and liver histopathological changes. Successfully established rat fatty liver model after feeding high-fat fodder for one week. A diet of P. eryngii cellulose for six weeks significantly reduced ALT, AST, TC, and TG levels in rat serum (P < 0.01); TC and AST levels in P. eryngii cellulose high-dose group and Lipitor group were not significantly different from those of the control (P > 0.05). SOD activity increased significantly, while MDA and HL activity decreased (P < 0.05); fatty degeneration and fat accumulation both decreased in hepatic tissue. Hepatic protection of P. eryngii cellulose showed dose-related effect. P. eryngii cellulose can affect lipid metabolism, having therapeutic effects on fatty liver in rats.

Thermal boundary resistance at Au/Ge/Ge and Au/Si/Ge interfaces

Amorphous Ge (a-Ge), crystalline Ge (c-Ge), and amorphous Si (a-Si) thin films were deposited on a Ge substrate at different temperatures by magnetron sputtering.