A Prediction Model Based on the Risk Factors Associated with Pathological Upgrading in Patients with Early-Stage Gastric Neoplasms Diagnosed by Endoscopic Forceps Biopsy

Zhao Yu Han,Zheng Yu,Sha Jie,Hua Hong Jin,Li Ke Dong,Lu Yu,Dang Yi Ni,Zhang Guo Xin 거트앤리버 소화기연관학회협의회 2023 Gut and Liver Vol.17 No.1

Background/Aims: The discrepancies between the diagnosis of preoperative endoscopic forceps biopsy (EFB) and endoscopic submucosal dissection (ESD) in patients with early gastric neoplasm (EGN) exist objectively. Among them, pathological upgrading directly influences the accuracy and appropriateness of clinical decisions. The aims of this study were to investigate the risk factors for the discrepancies, with a particular focus on pathological upgrading and to establish a prediction model for estimating the risk of pathological upgrading after EFB. Methods: We retrospectively collected the records of 978 patients who underwent ESD from December 1, 2017 to July 31, 2021 and who had a final histopathology determination of EGN. A nomogram to predict the risk of pathological upgrading was constructed after analyzing subgroup differences among the 901 lesions enrolled. Results: The ratio of pathological upgrading was 510 of 953 (53.5%). Clinical, laboratorial and endoscopic characteristics were analyzed using univariable and binary multivariable logistic regression analyses. A nomogram was constructed by including age, history of chronic atrophic gastritis, symptoms of digestive system, blood high density lipoprotein concentration, macroscopic type, pathological diagnosis of EFB, uneven surface, remarkable redness, and lesion size. The C-statistics were 0.804 (95% confidence interval, 0.774 to 0.834) and 0.748 (95% confidence interval, 0.664 to 0.832) in the training and validation set, respectively. We also built an online webserver based on the proposed nomogram for convenient clinical use. Conclusions: The clinical value of identifying the preoperative diagnosis of EGN lesions is limited when using EFB separately. We have developed a nomogram that can predict the probability of pathological upgrading with good calibration and discrimination value.

BRCA1 Gene Exon 11 Mutations in Uighur and Han Women with Early-onset Sporadic Breast Cancer in the Northwest Region of China

Cao, Yu-Wen,Fu, Xin-Ge,Wan, Guo-Xing,Yu, Shi-Ying,Cui, Xiao-Bin,Li, Li,Jiang, Jin-Fang,Zheng, Yu-Qin,Zhang, Wen-Jie,Li, Feng Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.11

The prevalence of BRCA1 gene mutations in breast cancer differs between diverse ethnic groups. Relatively little information is known about patterns of BRCA1 mutations in early-onset breast cancer in women of Uighur or Han descent, the major ethnic populations of the Xinjiang region in China. The aim of this study was to identify BRCA1 mutations in Uighur and Han patients with early-onset (age <35 years), and sporadic breast cancer for genetic predisposition to breast cancer. For detection of BRCA1 mutations, we used a polymerase chain reaction single-stranded conformation polymorphism approach, followed by direct DNA sequencing in 22 Uighur and 13 Han women with early-onset sporadic breast cancer, and 32 women with benign breast diseases. The prevalence of BRCA1 mutations in this population was 22.9% (8/35) among early-onset sporadic breast cancer cases. Of these, 31.8% (7/22) of Uighur patients and 7.69% (1/13) of Han patients were found to have BRCA1 mutations. In 7 Uighur patients with BRCA1 mutations, there were 11 unique sequence alterations in the BRCA1 gene, including 4 clearly disease-associated mutations on exon 11 and 3 variants of uncertain clinical significance on exon 11, meanwhile 4 neutral variants on intron 20 or 2. None of the 11 BRCA1 mutations identified have been previously reported in the Breast Cancer Information Core database. These findings reflect the prevalence of BRCA1 mutations in Uighur women with early-onset and sporadic breast cancer, which will allow for provision of appropriate genetic counseling and treatment for Uighur patients in the Xinjiang region.

Comparison of Liver Transplantation and Liver Resection for Hepatocellular Carcinoma Patients with Portal Vein Tumor Thrombus Type I and Type II

Jia-Yu Lv,Ning-Ning Zhang,Ya-Wei Du,Ying Wu,Tian-Qiang Song,Ya-Min Zhang,Yan Qu,Yu-Xin Liu,Jie Gu,Ze-Yu Wang,Yi-Bo Qiu,Bing Yang,Da-Zhi Tian,Qing-Jun Guo,Li Zhang,Ji-San Sun,Yan Xie,Zheng-Lu Wang,Xin 연세대학교의과대학 2021 Yonsei medical journal Vol.62 No.1

Purpose: The aim of this study was to compare the efficacy of liver transplantation (LT) and liver resection (LR) for hepatocellularcarcinoma (HCC) patients with portal vein tumor thrombus (PVTT) and to investigate risk factors affecting prognosis. Materials and Methods: A total of 94 HCC patients with PVTT type I (segmental PVTT) and PVTT type II (lobar PVTT) were involvedand divided into LR (n=47) and LT groups (n=47). Recurrence-free survival (RFS) and overall survival (OS) were comparedbefore and after inverse probability of treatment weighting (IPTW). Prognostic factors for RFS and OS were explored. Results: Two treatment groups were well-balanced using IPTW. In the entire cohort, LT provided a better prognosis than LR. Among patients with PVTT type I, RFS was better with LT (p=0.039); OS was not different significantly between LT and LR(p=0.093). In subgroup analysis of PVTT type I patients with α-fetoprotein (AFP) levels >200 ng/mL, LT elicited significantly longermedian RFS (18.0 months vs. 2.1 months, p=0.022) and relatively longer median OS time (23.6 months vs. 9.8 months, p=0.065). Among patients with PVTT type II, no significant differences in RFS and OS were found between LT and LR (p=0.115 and 0.335,respectively). Multivariate analyses showed treatment allocation (LR), tumor size (>5 cm), AFP and aspartate aminotransferase(AST) levels to be risk factors of RFS and treatment allocation (LR), AFP and AST as risk factors for OS. Conclusion: LT appeared to afford a better prognosis for HCC with PVTT type I than LR, especially in patients with AFP levels>200 ng/mL.

A Data-Driven Deep Learning Network for Massive MIMO Detection with High-order QAM

Yu, Yongzhi,Ying, Jie,Wang, Ping,Guo, Limin 한국통신학회 2023 Journal of communications and networks Vol.25 No.1

Massive multiple-input multiple-output (MIMO)can provide higher spectral efficiency and energy efficiencycompared to conventional MIMO systems. Unfortunately, asthe numbers of modulation orders and antennas increase, thecomputational complexity of conventional symbol detection algo-rithms becomes unaffordable and their performance deteriorates. However, deep learning (DL) techniques can provide flexibility,nonlinearity and computational parallelism for massive MIMOdetection to address these challenges. We propose an efficientdata-driven detection network, i.e., accelerated multiuser inter-ference cancellation network (AMIC-Net), for uplink massiveMIMO systems. Specifically, we first introduce an extrapolationfactor regarded as a learnable parameter into the multiuserinterference cancellation (MIC) algorithm for iterative sequentialdetection (ISD) detector through extrapolation technique toenhance the convergence performance. Then we unfold the aboveaccelerated iterative algorithm and adopt a sparsely connectedapproach, instead of fully connected, to obtain a relativelysimple deep neural network (DNN) structure to enhance thedetection performance through the data-driven DL approach. Furthermore, in order to accommodate communication scenarioswith higher-order modulation, a novel activation function isproposed, which is composed of multiple softsign activationfunctions with additional learnable parameters to implement amulti-segment mapping of the set of constellation points withdifferent modulations. Numerical results show that the proposedDL network can bring significant performance gain to ISDdetector with various massive antenna settings and outperformthe existing detectors with the same or lower computationalcomplexity, especially in high-order QAM modulation scenarios.

A Novel Image Segmentation Combined Color Recognition Algorithm through Boundary Detection and Deep Neural Network

Yu Liu,Jie Yang,Benzhen Guo,Jingjing Yang,Xiao Zhang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.2

With the fast development of industry and computer science technology, the image color recognition has been a hot topic. The prior research focus more on sensor and hardware based approaches which are not intelligent or convenient. In this paper, we present a novel image segmentation combined color recognition algorithm through boundary detection and deep neural network. The deep learning algorithm can largely increase the accuracy of classification whereas cut down the processing time consumed, we adopt the deep neural network and support vector machine to extract image features both in RGB and YUV color spaces. Boundary detection in sudden change, by contrast, is more global in nature, such as texture, so need to integrate the whole information of the image. Under the guidance, we modify the current segmentation methods with boundary detection technique to serve as the pre-processing step before classifying colors. Experimental results on synthetic and real images show that the new algorithm is effective and efficient, and is relatively independent of this type of noise. Further analysis is also conducted in the final section.

Expression of Fas/FasL in CD8⁺ T and CD3⁺ Foxp3⁺ Treg Cells - Relationship with Apoptosis of Circulating CD8⁺ T Cells in Hepatocellular Carcinoma Patients

Guo, Cun-Li,Yang, Xiu-Hua,Cheng, Wen,Xu, Yi,Li, Jie-Bing,Sun, Yi-Xin,Bi, Yu-Mei,Zhang, Lei,Wang, Qiu-Cheng Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.6

Aims: Dysfunction of the host immune system in cancer patients can be due to a number of factors, including lymphocyte apoptosis. Several studies showed that $Foxp3^+T$ cells take part in inducing this process by expressing FasL in tumor patients. However, the relationship between apoptosis, $CD8^+T$ cells and $Foxp3^+T$ cells in HCC patients is still unclear. The present study was designed to investigate the correlation between apoptosis levels and Fas/FasL expression in $CD8^+T$ lymphocytes and $Foxp3^+T$ cells in patients with HCC. Methods: $CD8^+T$ cells and $CD3^+Foxp3^+T$ cells were tested from peripheral blood of HCC patients and normal controls and subjected to multicolor flow cytometry. The expression of an apoptosis marker (annexin V) and the death receptor Fas in $CD8^+T$ cells and FasL in $CD3^+Foxp3^+T$ cells were evaluated. Serum TGF-${\beta}1$ levels in patients with HCC were measured by enzyme-linked immunosorbent assay. The relationship between apoptosis and Fas expression, as well as FasL expression in $CD3^+Foxp3^+T$ cells was then evaluated. Results: The frequency of $CD8^+T$ cells binding annexin V and Fas expression in $CD8^+T$ cells, were all higher in HCC patients than normal controls and the proportion of apoptotic $CD8^+T$ cells correlated with their Fas expression. Serum TGF-${\beta}1$ levels correlated inversely with $CD3^+Foxp3^+T$ cells. Conclusions: Fas/FasL interactions might lead to excessive turnover of $CD8^+T$ cells and reduce anti-tumor immune responses in patients with HCC. Further investigations of apoptosis induction in $Fas^+CD8^+T$ cells in vitro are required.

Two-Step Oxidation of Refractory Gold Concentrates with Different Microbial Communities^s

( Guo-hua Wang ),( Jian-ping Xie ),( Shou-peng Li ),( Yu-jie Guo ),( Ying Pan ),( Haiyan Wu ),( Xin-xing Liu ) 한국미생물 · 생명공학회 2016 Journal of microbiology and biotechnology Vol.26 No.11

Bio-oxidation is an effective technology for treatment of refractory gold concentrates. However, the unsatisfactory oxidation rate and long residence time, which cause a lower cyanide leaching rate and gold recovery, are key factors that restrict the application of traditional bio-oxidation technology. In this study, the oxidation rate of refractory gold concentrates and the adaption of microorganisms were analyzed to evaluate a newly developed two-step pretreatment process, which includes a high temperature chemical oxidation step and a subsequent bio-oxidation step. The oxidation rate and recovery rate of gold were improved significantly after the two-step process. The results showed that the highest oxidation rate of sulfide sulfur could reach to 99.01 % with an extreme thermophile microbial community when the pulp density was 5%. Accordingly, the recovery rate of gold was elevated to 92.51%. Meanwhile, the results revealed that moderate thermophiles performed better than acidophilic mesophiles and extreme thermophiles, whose oxidation rates declined drastically when the pulp density was increased to 10% and 15%. The oxidation rates of sulfide sulfur with moderate thermophiles were 93.94% and 65.73% when the pulp density was increased to 10% and 15%, respectively. All these results indicated that the twostep pretreatment increased the oxidation rate of refractory gold concentrates and is a potential technology to pretreat the refractory sample. Meanwhile, owing to the sensitivity of the microbial community under different pulp density levels, the optimization of microbial community in bio-oxidation is necessary in industry.

Overexpression of Cyclooxygenase-1 Correlates with Poor Prognosis in Renal Cell Carcinoma

Yu, Zu-Hu,Zhang, Qiang,Wang, Ya-Dong,Chen, Jing,Jiang, Zhi-Mao,Shi, Min,Guo, Xin,Qin, Jie,Cui, Guang-Hui,Cai, Zhi-Ming,Gui, Yao-Ting,Lai, Yong-Qing Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.6

The aim of this study was to evaluate expression of COX-1 in renal cell carcinoma (RCC) and its prognostic value. mRNA of COX-1 was detected in 42 paired RCC and adjacent normal tissues with quantitative realtime polymerase chain reaction (qRT-PCR). Expression of COX-1 was also evaluated in 196 RCC sections and 91 adjacent normal tissues with immunohistochemistry. Statistical analysis was performed to assess COX-1 expression in RCC and its prognostic significance. The results of qRT-PCR showed mRNA levels of COX-1 in RCC tissues to be significantly higher than that in adjacent normal tissues (p < 0.001). Immunohistochemical assays also revealed COX-1 to be overexpressed in RCC tissues (p < 0.001). Statistical analysis demonstrated high expression of COX-1 was correlated with tumour size (p = 0.002), pathological stage (p = 0.003), TNM stage (p = 0.003, 0.007, 0.027, respectively), and tumour recurrence (p < 0.001). Survival analysis indicated patients with high expression of COX-1 had shorter survival time (p < 0.001), and COX-1 was an independent predictor. This is the first study to reveal overexpression of COX-1 in RRC and point to use as a prognostic marker in affected patients.

Prevalence, Risk Factors, and Psychological Effects of Overactive Bladder in Chinese University Students

Yu Liang,Guo Wei Si,Hui Jie Hu,Zhen Wei Zhang,Cui Ping Song,Qi Feng Dou,Jian Guo Wen 대한배뇨장애요실금학회 2022 International Neurourology Journal Vol.26 No.4

Purpose: The purpose of this study was to investigate the prevalence and risk factors of overactive bladder (OAB) in young adults and to explore the influence of OAB on mental health. Methods: Between October 2019 and January 2020, 14,010 anonymous questionnaires were distributed to freshmen at 2 universities in Henan, China. The students came from all over the country. The questionnaire included general items and information necessary to calculate the overactive bladder symptom score, the Chinese version of the Pittsburgh Sleep Quality Index (PSQI) score, Self-Esteem Scale (SES) score, and Self-Rating Depression Scale (SDS) score. The relationships between the prevalence of OAB and its risk factors were evaluated. Results: The overall prevalence of OAB was 6.0%, with 4.3% of participants characterized as having dry OAB and 1.7% as having wet OAB. The prevalence of mild OAB was 5.5%, and that of moderate OAB was 0.5%; no severe OAB was observed. Higher prevalence rates of OAB were found among women, respondents with constipation, and respondents with primary nocturnal enuresis (PNE) (P <0.05). Compared to healthy controls, the OAB group exhibited a higher mean SDS score (52.12±8.986 vs. 47.71±9.399, P<0.001) and mean PSQI score (5.28±2.486 vs. 4.27±2.431, P<0.001), but a lower mean SES score (27.78±3.599 vs. 29.57±4.109, P<0.001). Conclusions: OAB significantly affects the mental health of young adults. Female sex, constipation, and PNE are risk factors for OAB.

Research on the Development of College Student Education Based on Machine Learning ---Take the Physical Education of Yanbian University as an Example

Yu Quan,Wei-Jie Guo,Lin He,Zhe-Zhi Jin 영남수학회 2022 East Asian mathematical journal Vol.38 No.1

This paper is based on Yanbian University's physical test data, and uses statistical analysis methods to study the relationship between college students' physical test scores to promote college physical education. Firstly, using gender as categorical variables, we conduct a general analysis of students in different majors and different grades, and obtain the advantages and disadvantages of male and female college students; then we use Decision Trees and Random Forest algorithms to conduct modeling analysis to provide valuable suggestions for relevant departments of the university. the aiming of this research analyzing about the undergraduates physical test is that giving universities the targeted suggestions to improve the college graduate rate and promote the overall development of higher education, lay the foundation for achieving universal health.