282 results on '"Yulian Wu"'
Search Results
2. Prediction of risk and overall survival of pancreatic cancer from blood soluble immune checkpoint-related proteins
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Sai Pan, Wenting Zhao, Yizhan Li, Zhijun Ying, Yihong Luo, Qinchuan Wang, Xiawei Li, Wenjie Lu, Xin Dong, Yulian Wu, and Xifeng Wu
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soluble immune checkpoint-related protein ,pancreatic cancer ,immune subtype ,survival ,prediction model ,Immunologic diseases. Allergy ,RC581-607 - Abstract
BackgroundImmune checkpoint inhibition holds promise as a novel treatment for pancreatic ductal adenocarcinoma (PDAC). The clinical significance of soluble immune checkpoint (ICK) related proteins have not yet fully explored in PDAC.MethodsWe comprehensively profiled 14 soluble ICK-related proteins in plasma in 70 PDAC patients and 70 matched healthy controls. Epidemiological data of all subjects were obtained through structured interviews, and patients’ clinical data were retrieved from electronical health records. We evaluated the associations between the biomarkers with the risk of PDAC using unconditional multivariate logistic regression. Consensus clustering (k-means algorithm) with significant biomarkers was performed to identify immune subtypes in PDAC patients. Prediction models for overall survival (OS) in PDAC patients were developed using multivariate Cox proportional hazards regression. Harrell’s concordance index (C-index), time-dependent receiver operating characteristic (ROC) curve and calibration curve were utilized to evaluate performance of prediction models. Gene expressions of the identified ICK-related proteins in tumors from TCGA were analyzed to provide insight into underlying mechanisms.ResultsSoluble BTLA, CD28, CD137, GITR and LAG-3 were significantly upregulated in PDAC patients (all q < 0.05), and elevation of each of them was correlated with PDAC increased risk (all p < 0.05). PDAC patients were classified into soluble immune-high and soluble immune-low subtypes, using these 5 biomarkers. Patients in soluble immune-high subtype had significantly poorer OS than those in soluble immune-low subtype (log-rank p = 9.7E-03). The model with clinical variables and soluble immune subtypes had excellent predictive power (C-index = 0.809) for the OS of PDAC patients. Furthermore, the immune subtypes identified with corresponding genes’ expression in PDAC tumor samples in TCGA showed an opposite correlation with OS to that of immune subtypes based on blood soluble ICK-related proteins (log-rank p =0.02). The immune-high subtype tumors displayed higher cytolytic activity (CYT) score than immune-low subtype tumors (p < 2E-16).ConclusionFive soluble ICK-related proteins were identified to be significantly associated with the risk and prognosis of PDAC. Patients who were classified as soluble immune-low subtype based on these biomarkers had better overall survival than those of the soluble immune-high subtype.
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- 2023
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3. Pathologic complete response of hepatoid adenocarcinoma of the stomach after chemo-immunotherapy: A rare case report and literature review
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Yunxiang Zhou, Linping Dong, Linyun Dai, Sien Hu, Yongji Sun, Yulian Wu, Tao Pan, and Xiawei Li
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hepatoid adenocarcinoma of the stomach ,pathologic complete response ,chemo-immunotherapy ,PD-1 inhibitor ,terelizumab ,immune checkpoint inhibitor (ICIs) ,Surgery ,RD1-811 - Abstract
BackgroundHepatoid adenocarcinoma of the stomach (HAS) is a highly malignant subtype of gastric carcinoma with specific clinicopathological features and extremely poor prognosis. We present an exceedingly rare case of complete response after chemo-immunotherapy.Case DescriptionA 48-year-old woman with highly elevated serum alpha-fetoprotein (AFP) level was found to have HAS verified by pathological examination based on gastroscopy. Computed tomography scan was done and TNM staging of the tumor was T4aN3aMx. Programmed cell death ligand-1 (PD-L1) immunohistochemistry was performed, revealing a negative PD-L1 expression. Chemo-immunotherapy including oxaliplatin plus S-1 and PD-1 inhibitor terelizumab was given to this patient for 2 months until the serum AFP level decreased from 748.5 to 12.9 ng/mL and the tumor shrank. D2 radical gastrectomy was then performed and histopathology of the resected specimen revealed that the cancerous cells had disappeared. Pathologic complete response (pCR) was achieved and no evidence of recurrence has been found after 1 year of follow-up.ConclusionsWe, for the first time, reported an HAS patient with negative PD-L1 expression who achieved pCR from the combined chemotherapy and immunotherapy. Although no consensus has been reached regarding the therapy, it might provide a potential effective management strategy for HAS patient.
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- 2023
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4. Fabrication of microgroove poly(lactic-co-glycolic acid) nerve guide conduit using dry-jet wet spinning for rat laryngeal recurrent nerve regeneration
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Xiaohui Yang, Xixia Liu, Fangshen Xu, Shunxian Ji, Yuchao Sun, Zhaojun Song, Jie Song, Yulian Wu, and Jun Yin
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Nerve guide conduit ,Recurrent laryngeal nerve regeneration ,Microgroove structure ,Poly(lactic-co-glycolic acid) ,Dry-jet wet spinning ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Recurrent laryngeal nerve (RLN) injury is a serious complication of thyroidectomy. Here, the degradable poly(lactic-co-glycolic acid) (PLGA) nerve guide conduits (NGCs) with microgroove or smooth inner surface were fabricated using a phase inversion-based dry-jet wet spinning method for RLN regeneration. The morphology and mechanical properties of NGCs were observed by scanning electron microscope (SEM) and a universal testing machine, showing that the porous NGC has good mechanical properties and is suitable for implantation. Further, in vitro PC12 cells cultured on the NGCs showed that microgroove conduit (GNGC) exhibited better cell adhesion, proliferation, and cell orientation. Both smooth and microgroove conduit (SNGC and GNGC) were transplanted into Sprague-Dawley (SD) rat models for assessing the repair effect on the 5-mm RLN gap. The results showed that GNGC was superior to SNGC in nerve regeneration and had similar effects to the autograft group in reducing muscle atrophy and restoring target organ function. Therefore, the degradable NGCs combined with groove structure could guide the regeneration of injured RLN, promote the partial functional recovery of target organs and prevent secondary surgical injury. This study contributes to the design and fabrication of nerve guide conduits and the application of tissue engineering in the field of RLN injury repair.
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- 2022
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5. Parabolic relationship between SMAD3 expression level and the reprogramming efficiency of goat induced mammary epithelial cells
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Yulian Wu, Dandan Zhang, Sheng Ye, Quanhui Liu, and Ben Huang
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somatic cell reprogramming ,Smad3 ,induced mammary epithelial cells ,cell fate determination ,Tet On ,Biology (General) ,QH301-705.5 - Abstract
Mammary epithelial cells are the only cells of mammary glands with lactation capacity. They are closely related to mammary development and milk yield. Our earlier studies showed that the transformation of goat fibroblasts into induced mammary epithelial cells (iMECs) was closely correlated with SMAD3 overexpression. Therefore, we further explored the role of SMAD3 on iMECs reprogramming in this study. The SMAD3 gene was overexpressed in goat ear fibroblasts using the tetracycline-induced expression method. The outcomes demonstrated that goat ear fibroblasts can be converted into iMECs by overexpressing the SMAD3 gene. In contrast, it was discovered that SMAD3 downregulation by RNA interference significantly decrease the reprogramming efficiency of iMECs. These results show that SMAD3 plays a key regulatory role in the reprogramming of iMECs. Surprisingly, we also found a parabolic relationship between SMAD3 expression level and iMECs reprogramming efficiency, and that the reprogramming efficiency was maximum when the addition of doxycycline concentration was 5 μg/ml. In light of this, our findings may offer new perspectives on the regulatory mechanism governing mammary epithelial cell fate in goats as well as a fresh approach to studying mammary development and differentiation in vitro.
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- 2022
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6. Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection
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Xiawei Li, Litao Yang, Zheping Yuan, Jianyao Lou, Yiqun Fan, Aiguang Shi, Junjie Huang, Mingchen Zhao, and Yulian Wu
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Machine learning ,PDAC ,Relapse ,Prediction model ,Radical surgery ,Medicine - Abstract
Abstract Background Surgical resection is the only potentially curative treatment for pancreatic ductal adenocarcinoma (PDAC) and the survival of patients after radical resection is closely related to relapse. We aimed to develop models to predict the risk of relapse using machine learning methods based on multiple clinical parameters. Methods Data were collected and analysed of 262 PDAC patients who underwent radical resection at 3 institutions between 2013 and 2017, with 183 from one institution as a training set, 79 from the other 2 institution as a validation set. We developed and compared several predictive models to predict 1- and 2-year relapse risk using machine learning approaches. Results Machine learning techniques were superior to conventional regression-based analyses in predicting risk of relapse of PDAC after radical resection. Among them, the random forest (RF) outperformed other methods in the training set. The highest accuracy and area under the receiver operating characteristic curve (AUROC) for predicting 1-year relapse risk with RF were 78.4% and 0.834, respectively, and for 2-year relapse risk were 95.1% and 0.998. However, the support vector machine (SVM) model showed better performance than the others for predicting 1-year relapse risk in the validation set. And the k neighbor algorithm (KNN) model achieved the highest accuracy and AUROC for predicting 2-year relapse risk. Conclusions By machine learning, this study has developed and validated comprehensive models integrating clinicopathological characteristics to predict the relapse risk of PDAC after radical resection which will guide the development of personalized surveillance programs after surgery.
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- 2021
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7. Novel optimized drug delivery systems for enhancing spinal cord injury repair in rats
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Man Zhang, Yang Bai, Chang Xu, Jinti Lin, JiaKang Jin, Ankai Xu, Jia Nan Lou, Chao Qian, Wei Yu, Yulian Wu, Yiying Qi, and Huimin Tao
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spinal cord injury ,microsphere ,control release ,laponite hydrogel ,neuroprotection ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Effective and accurate delivery of drugs to tissue with spinal cord injury (SCI) is the key to rehabilitating neurological deficits. Sustained-release microspheres (MS) have excellent degradability and can aid in the long-term release of drugs. However, the burst release phenomenon can cause unexpected side effects. Herein, we developed and optimized an injectable poly(lactic-co-glycolic acid) (PLGA) MS loaded with melatonin(Mel), which were mixed further with Laponite hydrogels (Lap/MS@Mel, a micro-gel compound) in order to reduce the burst release of MS. Thus, these MS were able to achieve stable and prolonged Mel release, as well as synergistic Lap hydrogel in order to repair neural function in SCI by in situ injection. In clinical practice, patients with SCI have complicated conditions and significant inter-individual differences, which means that a single route of administration does not meet actual clinical needs. Thus, the nanospheres are synthesized and subsequently coated with platelet membrane (PM) in order to form PM/MS@Mel (nano-PM compound) for sustained and precision-targeted delivery of Mel intravenously in the SCI. Notably, optimized microsphere delivery systems have improved Mel regulation polarization of spinal microglial/macrophages, which can reduce loss of biomaterials due to macrophage-induced immune response during implantation of spinal cord tissue. These two new delivery systems that are based on MS provide references for the clinical treatment of SCI, according to different requirements.
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- 2021
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8. Silibinin Therapy Improves Cholangiocarcinoma Outcomes by Regulating ERK/Mitochondrial Pathway
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Yang Bai, Jiaqi Chen, Weijian Hu, Lei Wang, Yulian Wu, and Shi’an Yu
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silibinin ,cholangiocarcinoma ,ERK ,mitochondrial membrane potential ,anti tumor drug ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Background: Silibinin is widely utilized drug in various cancer treatments, though its application in cholangiocarcinoma has not yet been explored. For the first time, we evaluated the anticancer potential and underlying molecular mechanism of silibinin in treatment of cholangiocarcinoma treatment.Methods: HuCCT-1 and CCLP-1 cells were chosen to be an in vitro study model and were exposed to various concentrations of silibinin for indicated times. Cell viability was evaluated by the cell counting kit-8 (CCK-8) assay and half maximal inhibitory (IC50) concentrations were calculated. Cell proliferation capacity was determined through the use of colony formation and 5-Ethynyl-2′- deoxyuridine (EdU) assays. Cell apoptosis and cycle arrest were assessed by Live/Dead staining assay and flow cytometry (FCM). The protein levels of extracellular regulated protein kinases (ERK)/mitochondrial apoptotic pathway were evaluated through western blotting (WB). Mitochondrial membrane potential changes were determined via 5,5′,6,6′-Tetrachloro-1,1′,3,3′-tetraethyl-imidacarbocyanine iodide (JC-1). A cholangiocarcinoma cell line xenograft model was used to assess the anti-tumor activity of silibinin in vivo.Results: Inhibition of the ERK protein by silibinin led to a significant decrease in mitochondrial membrane potential, which, in turn, caused Cytochrome C to be released from the mitochondria. The activation of downstream apoptotic pathways led to apoptosis of cholangiocarcinoma cells. In general, silibinin inhibited the growth of cholangiocarcinoma cell line xenograft tumors.Conclusions: Silibinin is able to inhibit cholangiocarcinoma through the ERK/mitochondrial apoptotic pathway, which makes silibinin a potential anti-tumor drug candidate for cholangiocarcinoma treatment.
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- 2022
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9. Preoperative recurrence prediction in pancreatic ductal adenocarcinoma after radical resection using radiomics of diagnostic computed tomography
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Xiawei Li, Yidong Wan, Jianyao Lou, Lei Xu, Aiguang Shi, Litao Yang, Yiqun Fan, Jing Yang, Junjie Huang, Yulian Wu, and Tianye Niu
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PDAC ,Recurrence ,Radical surgery ,Radiomics ,PTV ,ITV ,Medicine (General) ,R5-920 - Abstract
ABSTRACT: Background: The high recurrence rate after radical resection of pancreatic ductal adenocarcinoma (PDAC) leads to its poor prognosis. We aimed to develop a model to preoperatively predict the risk of recurrence based on computed tomography (CT) radiomics and multiple clinical parameters. Methods: Datasets were retrospectively collected and analysed of 220 PDAC patients who underwent contrast-enhanced computed tomography (CE-CT) and received radical resection at 3 institutions in China between 2013 and 2017, with 153 from one institution as a training set, the remaining 67 as a validation set. For each patient, CT radiomics features were extracted from intratumoral and peritumoral regions to establish intratumoral, peritumoral and combined radiomics models using artificial neural network (ANN) algorithm. By incorporating clinical factors, radiomics-clinical nomograms were finally built by multivariable logistic regression analysis to predict 1- and 2-year recurrence risk. Findings: The developed radiomics model integrating intratumoral and peritumoral radiomics features was superior to the conventionally constructed model merely using intratumoral radiomics features. Further, radiomics-clinical nomograms outperformed other models in predicting 1-year recurrence with an area under the receiver operating characteristic curve (AUROC) of 0.916 (95%CI, 0.860-0.955) in the training set and 0.764 (95%CI, 0.644-0.859) in the validation set, and 2-year recurrence with an AUROC of 0.872 (95%CI: 0.809-0.921) in the training set and 0.773 (95%CI, 0.654-0.866) in the validation set. Interpretation: This study has developed and externally validated a radiomics-clinical nomogram integrating intra- and peritumoral CT radiomics signature as well as clinical factors to predict the recurrence risk of PDAC after radical resection, which will facilitate optimized and individualized treatment strategies. Funding: This work was supported by the National Key R&D Program of China [grant number: 2018YFE0114800], the General Program of National Natural Science Foundation of China [grant number: 81772562, 2017; 81871351, 2018], the Fundamental Research Funds for the Central Universities [grant number: 2021FZZX005-08], and Zhejiang Provincial Key Projects of Technology Research [grant number: WKJ-ZJ-2033].
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- 2022
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10. The Effect of Indoor Daylight Levels on Hospital Costs and Length of Stay of Patients Admitted to General Surgery
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Xiawei Li, Jianyao Lou, Zheping Yuan, Aiguang Shi, Ning Wang, Lin Zhou, Mingchen Zhao, Fanghe Ye, Zikun Pan, and Yulian Wu
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indoor daylight levels ,general surgery ,hospital costs ,length of stay ,illiteracy ,Public aspects of medicine ,RA1-1270 - Abstract
BackgroundIndoor daylight levels can directly affect the physical and psychological state of people. However, the effect of indoor daylight levels on the clinical recovery process of the patient remains controversial. This study was to evaluate the effect of indoor daylight levels on hospital costs and the average length of stay (LOS) of a large patient population in general surgery wards.MethodsData were collected retrospectively and analyzed of patients in the Second Affiliated Hospital of Zhejiang University, School of Medicine between January 2015 and August 2020. We measured daylight levels in the patient rooms of general surgery and assessed their association with the total hospital costs and LOS of the patients.ResultsA total of 2,998 patients were included in this study with 1,478 each assigned to two daylight level groups after matching. Overall comparison of hospital total costs and LOS among patients according to daylight levels did not show a significant difference. Subgroup analysis showed when exposed to higher intensity of indoor daylight, illiterate patients had lower total hospital costs (CNY ¥13070.0 vs. ¥15210.3, p = 0.018) and shorter LOS (7 vs. 10 days, p = 0.011) as compared to those exposed to a lower intensity.ConclusionsIndoor daylight levels were not associated with the hospital costs and LOS of patients in the wards of general surgery, except for those who were illiterate. It might be essential to design guidelines for medical staff and healthcare facilities to enhance the indoor environmental benefits of daylight for some specific populations.
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- 2022
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11. Patterns of recurrence after curative D2 resection for gastric cancer: Implications for postoperative radiotherapy
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Jing Xu, Li Shen, Yongjie Shui, Wei Yu, Qingqu Guo, Risheng Yu, Yulian Wu, and Qichun Wei
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gastric cancer ,radical surgery ,radiotherapy ,recurrence patterns ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background High‐quality randomized controlled trials have demonstrated the benefit of radiotherapy (RT) in patients with radical resected gastric cancer (GC), however, utilization rates of postoperative RT remain remarkably low. Patterns, incidences, and time of recurrence provide biological bases for clinical monitoring of GC patients and guiding potential complementary therapies. Thus, the aim of this study is to understand the location of locoregional recurrence which may allow individualized RT strategies and minimize radiation‐related toxic effects. Methods A relatively large sample of GC patients in a single institution who had undergone curative D2 resection was retrospectively reviewed and the relevant recurrence patterns were illustrated. Independent recurrence‐related risk factors were analyzed by logistic regression analysis. New logistic regression models were further developed to predict the probability of recurrence. Results Overall, among 776 GC patients who had continuous and complete follow‐up data, 300 cases relapsed after curative resection. Lymphovascular invasion, lymph node metastases, and tumor stage were indicators for early recurrence. Peritoneal, regional, local, and distant recurrence initially occurred in 51 (6.6%), 151 (19.4%), 56 (7.2%), and 164 (21.1%) patients, respectively. Among patients with regional recurrence, the most common sites were lymph node stations 16a2, 8, 12, 16b1, and 9. Remnant stomach recurrence was not so prominent that it seemed reasonable to be excluded from an irradiation field for patients with negative surgical/pathologic margins. Conclusions For GC patients who underwent radical D2 resection, distant and regional recurrences were still common. Besides, optimizing regional control of lymph nodes outside the D2 dissected area was crucial for rational design of the RT field. Furthermore, the new logistic regression models might act as useful tools to evaluate recurrence risk and determine which patients should receive postoperative chemoradiotherapy.
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- 2020
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12. Nutritional Appraisal and Antidiabetic Activity of a Kind of Mixed Plasma Proteolytic Peptide from Tachpleus tridentatus
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Xinhuang Kang, Guoguang Zhang, Yulian Wu, and Chunmei Deng
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Tachpleus tridentatus ,plasma ,peptide ,nutritional appraisal ,diabetes ,Naval architecture. Shipbuilding. Marine engineering ,VM1-989 ,Oceanography ,GC1-1581 - Abstract
Based on the bioactivities of blood protein, the nutritional appraisal and antidiabetic activity of a kind of mixed plasma proteolytic peptide from Tachpleus tridentatus (PPPT) were studied in this work. Results indicated that the amino acid level of PPPT could meet an adult’s FAO/WHO recommended standard; PPPT also manifested inhibitory activity on α-glucosidase with IC50 at 2.62 mg/mL in vitro, and relieved symptoms of type II diabetic mouse in vivo by improving glucose tolerance, increasing insulin secretion by 5.15 mIU/L in the PPPT-4 group and by 4.54 mIU/L in the PPPT-1 group, reducing blood glucose values to nearly normal levels 120 min after intragastric administration, and restoring pathological damage in the thymus. Thus, PPPT can be developed into both a healthcare product and an adjuvant for type II diabetes in the future.
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- 2022
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13. A Novel Ferroptosis-Related Gene Signature Predicts Recurrence in Patients With Pancreatic Ductal Adenocarcinoma
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Zengyu Feng, Peng Chen, Kexian Li, Jianyao Lou, Yulian Wu, Tao Li, and Chenghong Peng
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pancreatic ductal adenocarcinoma ,ferroptosis ,prognostic model ,bioinformatics ,recurrence ,prognosis ,Biology (General) ,QH301-705.5 - Abstract
Background: Recurrence after surgery is largely responsible for the extremely poor outcomes for patients with pancreatic ductal adenocarcinoma (PDAC). Ferroptosis is implicated in chemotherapy sensitivity and tumor recurrence, we aimed to find out survival-associated ferroptosis-related genes and use them to build a practical risk model with the purpose to predict PDAC recurrence.Methods: Univariate Cox regression analysis was conducted to obtain prognostic ferroptosis-related genes in The Cancer Genome Atlas (TCGA, N = 140) cohort. Multivariate Cox regression analysis was employed to construct a reliable and credible gene signature. The prognostic performance was verified in a MTAB-6134 (N = 286) validation cohort and a PACA-CA (N = 181) validation cohort. The stability of the signature was tested in TCGA and MTAB-6134 cohorts by ROC analyses. Pathway enrichment analysis was adopted to preliminary illuminate the biological relevance of the gene signature.Results: Univariate and multivariate Cox regression analyses identified a 5-gene signature that contained CAV1, DDIT4, SLC40A1, SRXN1 and TFAP2C. The signature could efficaciously stratify PDAC patients with different recurrence-free survival (RFS), both in the training and validation cohorts. Results of subgroup receiver operating characteristic curve (ROC) analyses confirmed the stability and the independence of this signature. Our signature outperformed clinical indicators and previous reported models in predicting RFS. Moreover, the signature was found to be closely associated with several cancer-related and drug response pathways.Conclusion: This study developed a precise and concise prognostic model with the clinical implication in predicting PDAC recurrence. These findings may facilitate individual management of postoperative recurrence in patients with PDAC.
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- 2021
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14. Development and Validation of a 7-Gene Prognostic Signature to Improve Survival Prediction in Pancreatic Ductal Adenocarcinoma
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Zengyu Feng, Hao Qian, Kexian Li, Jianyao Lou, Yulian Wu, and Chenghong Peng
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pancreatic ductal adenocarcinoma ,risk score ,overall survival ,disease-free survival ,prognostic signature ,immune cell infiltration ,Biology (General) ,QH301-705.5 - Abstract
Background: Previous prognostic signatures of pancreatic ductal adenocarcinoma (PDAC) are mainly constructed to predict the overall survival (OS), and their predictive accuracy needs to be improved. Gene signatures that efficaciously predict both OS and disease-free survival (DFS) are of great clinical significance but are rarely reported.Methods: Univariate Cox regression analysis was adopted to screen common genes that were significantly associated with both OS and DFS in three independent cohorts. Multivariate Cox regression analysis was subsequently performed on the identified genes to determine an optimal gene signature in the MTAB-6134 training cohort. The Kaplan–Meier (K-M), calibration, and receiver operating characteristic (ROC) curves were employed to assess the predictive accuracy. Biological process and pathway enrichment analyses were conducted to elucidate the biological role of this signature.Results: Multivariate Cox regression analysis determined a 7-gene signature that contained ASPH, DDX10, NR0B2, BLOC1S3, FAM83A, SLAMF6, and PPM1H. The signature had the ability to stratify PDAC patients with different OS and DFS, both in the training and validation cohorts. ROC curves confirmed the moderate predictive accuracy of this signature. Mechanically, the signature was related to multiple cancer-related pathways.Conclusion: A novel OS and DFS prediction model was constructed in PDAC with multi-cohort and cross-platform compatibility. This signature might foster individualized therapy and appropriate management of PDAC patients.
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- 2021
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15. Identification of Prognostic Glycolysis-Related lncRNA Signature in Tumor Immune Microenvironment of Hepatocellular Carcinoma
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Yang Bai, Haiping Lin, Jiaqi Chen, Yulian Wu, and Shi’an Yu
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hepatocellular carcinoma ,glycolysis ,prognostic model ,tumor immune environment ,immune checkpoint blockade ,bioinformatics analysis ,Biology (General) ,QH301-705.5 - Abstract
Purpose: The purpose of this study was to construct a novel risk scoring model with prognostic value that could elucidate tumor immune microenvironment of hepatocellular carcinoma (HCC).Samples and methods: Data were obtained through The Cancer Genome Atlas (TCGA) database. Univariate Cox analysis, least absolute shrinkage and selection operator (LASSO) analysis, and multivariate Cox analysis were carried out to screen for glycolysis-related long noncoding RNAs (lncRNAs) that could provide prognostic value. Finally, we established a risk score model to describe the characteristics of the model and verify its prediction accuracy. The receiver operating characteristic (ROC) curves of 1, 3, and 5 years of overall survival (OS) were depicted with risk score and some clinical features. ESTIMATE algorithm, single-sample gene set enrichment analysis (ssGSEA), and CIBERSORT analysis were employed to reveal the characteristics of tumor immune microenvironment in HCC. The nomogram was drawn by screening indicators with high prognostic accuracy. The correlation of risk signature with immune infiltration and immune checkpoint blockade (ICB) therapy was analyzed. After enrichment of related genes, active behaviors and pathways in high-risk groups were identified and lncRNAs related to poor prognosis were validated in vitro. Finally, the impact of MIR4435-2HG upon ICB treatment was uncovered.Results: After screening through multiple steps, four glycolysis-related lncRNAs were obtained. The risk score constructed with the four lncRNAs was found to significantly correlate with prognosis of samples. From the ROC curve of samples with 1, 3, and 5 years of OS, two indicators were identified with high prognostic accuracy and were used to draw a nomogram. Besides, the risk score significantly correlated with immune score, immune-related signature, infiltrating immune cells (i.e. B cells, etc.), and ICB key molecules (i.e. CTLA4,etc.). Gene enrichment analysis indicated that multiple biological behaviors and pathways were active in the high-risk group. In vitro validation results showed that MIR4435-2HG was highly expressed in the two cell lines, which had a significant impact on the OS of samples. Finally, we corroborated that MIR4435-2HG had intimate relationship with ICB therapy in hepatocellular carcinoma.Conclusion: We elucidated the crucial role of risk signature in immune cell infiltration and immunotherapy, which might contribute to clinical strategies and clinical outcome prediction of HCC.
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- 2021
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16. An EMT-Related Gene Signature for Predicting Response to Adjuvant Chemotherapy in Pancreatic Ductal Adenocarcinoma
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Zengyu Feng, Kexian Li, Jianyao Lou, Yulian Wu, and Chenghong Peng
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PDAC ,EMT ,adjuvant chemotherapy ,sensitivity ,disease-free survival ,risk score ,Biology (General) ,QH301-705.5 - Abstract
BackgroundFor pancreatic ductal adenocarcinoma (PDAC) patients, chemotherapy failure is the major reason for postoperative recurrence and poor outcomes. Establishment of novel biomarkers and models for predicting chemotherapeutic efficacy may provide survival benefits by tailoring treatments.MethodsUnivariate cox regression analysis was employed to identify EMT-related genes with prognostic potential for DFS. These genes were subsequently submitted to LASSO regression analysis and multivariate cox regression analysis to identify an optimal gene signature in TCGA training cohort. The predictive accuracy was assessed by Kaplan–Meier (K-M), receiver operating characteristic (ROC) and calibration curves and was validated in PACA-CA cohort and our local cohort. Pathway enrichment and function annotation analyses were conducted to illuminate the biological implication of this risk signature.ResultsLASSO and multivariate Cox regression analyses selected an 8-gene signature comprised DLX2, FGF9, IL6R, ITGB6, MYC, LGR5, S100A2, and TNFSF12. The signature had the capability to classify PDAC patients with different DFS, both in the training and validation cohorts. It provided improved DFS prediction compared with clinical indicators. This signature was associated with several cancer-related pathways. In addition, the signature could also predict the response to immune-checkpoint inhibitors (ICIs)-based immunotherapy.ConclusionWe established a novel EMT-related gene signature that was capable of predicting therapeutic response to adjuvant chemotherapy and immunotherapy. This signature might facilitate individualized treatment and appropriate management of PDAC patients.
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- 2021
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17. A Novel DNA Replication-Related Signature Predicting Recurrence After R0 Resection of Pancreatic Ductal Adenocarcinoma: Prognostic Value and Clinical Implications
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Zengyu Feng, Kexian Li, Jianyao Lou, Mindi Ma, Yulian Wu, and Chenghong Peng
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DNA replication ,pancreatic ductal adenocarcinoma ,prognostic signature ,risk score ,R0 resection ,recurrence ,Biology (General) ,QH301-705.5 - Abstract
The aim of any surgical resection for pancreatic ductal adenocarcinoma (PDAC) is to achieve tumor-free margins (R0). R0 margins give rise to better outcomes than do positive margins (R1). Nevertheless, postoperative morbidity after R0 resection remains high and prognostic gene signature predicting recurrence risk of patients in this subgroup is blank. Our study aimed to develop a DNA replication-related gene signature to stratify the R0-treated PDAC patients with various recurrence risks. We conducted Cox regression analysis and the LASSO algorithm on 273 DNA replication-related genes and eventually constructed a 7-gene signature. The predictive capability and clinical feasibility of this risk model were assessed in both training and external validation sets. Pathway enrichment analysis showed that the signature was closely related to cell cycle, DNA replication, and DNA repair. These findings may shed light on the identification of novel biomarkers and therapeutic targets for PDAC.
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- 2021
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18. Transcriptomic Profiling Identifies DCBLD2 as a Diagnostic and Prognostic Biomarker in Pancreatic Ductal Adenocarcinoma
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Zengyu Feng, Kexian Li, Yulian Wu, and Chenghong Peng
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DCBLD2 ,pancreatic ductal adenocarcinoma ,prognosis ,diagnosis ,extracellular vesicles ,immune infiltrates ,Biology (General) ,QH301-705.5 - Abstract
Background: Accumulating evidence shows that the elevated expression of DCBLD2 (discoidin, CUB and LCCL domain-containing protein 2) is associated with unfavorable prognosis of various cancers. However, the correlation of DCBLD2 expression value with the diagnosis and prognosis of pancreatic ductal adenocarcinoma (PDAC) has not yet been elucidated. Methods: Univariate Cox regression analysis was used to screen robust survival-related genes. Expression pattern of selected genes was investigated in PDAC tissues and normal tissues from multiple cohorts. Kaplan–Meier (K–M) survival curves, ROC curves and calibration curves were employed to assess prognostic performance. The relationship between DCBLD2 expression and immune cell infiltrates was conducted by CIBERSORT software. Biological processes and KEGG pathway enrichment analyses were adopted to clarify the potential function of DCBLD2 in PDAC. Results: Univariate analysis, K–M survival curves and calibration curves indicated that DCBLD2 was a robust prognostic factor for PDAC with cross-cohort compatibility. Upregulation of DCBLD2 was observed in dissected PDAC tissues as well as extracellular vesicles from both plasma and serum samples of PDAC patients. Both DCBLD2 expression in tissue and extracellular vesicles had significant diagnostic value. Besides, DCBLD2 expression was correlated with infiltrating level of CD8+ T cells and macrophage M2 cells. Functional enrichment revealed that DCBLD2 might be involved in cell motility, angiogenesis, and cancer-associated pathways. Conclusion: Our study systematically analyzed the potential diagnostic, prognostic and therapeutic value of DCBLD2 in PDAC. All the findings indicated that DCBLD2 might play a considerably oncogenic role in PDAC with diagnostic, prognostic and therapeutic potential. These preliminary results of bioinformatics analyses need to be further validated in more prospective studies.
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- 2021
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19. Caspase-Independent Regulated Necrosis Pathways as Potential Targets in Cancer Management
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Jianyao Lou, Yunxiang Zhou, Zengyu Feng, Mindi Ma, Yihan Yao, Yali Wang, Yongchuan Deng, and Yulian Wu
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regulated necrosis ,necroptosis ,ferroptosis ,parthanatos ,pyroptosis ,cancer therapy ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Regulated necrosis is an emerging type of cell death independent of caspase. Recently, with increasing findings of regulated necrosis in the field of biochemistry and genetics, the underlying molecular mechanisms and signaling pathways of regulated necrosis are gradually understood. Nowadays, there are several modes of regulated necrosis that are tightly related to cancer initiation and development, including necroptosis, ferroptosis, parthanatos, pyroptosis, and so on. What’s more, accumulating evidence shows that various compounds can exhibit the anti-cancer effect via inducing regulated necrosis in cancer cells, which indicates that caspase-independent regulated necrosis pathways are potential targets in cancer management. In this review, we expand the molecular mechanisms as well as signaling pathways of multiple modes of regulated necrosis. We also elaborate on the roles they play in tumorigenesis and discuss how each of the regulated necrosis pathways could be therapeutically targeted.
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- 2021
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20. Clinical characteristics and indications for surgery for bezoar-induced small bowel obstruction
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Shuai Wang, Xiaohui Yang, Yixiong Zheng, and Yulian Wu
- Subjects
Medicine (General) ,R5-920 - Abstract
Background To evaluate the clinical characteristics and indications for surgery for bezoar-induced small bowel obstruction (BI-SBO). Methods Forty patients with BI-SBO were treated at our hospital from January 2017 to December 2019, and these patients’ clinical and computed tomography (CT) data were analyzed. Results Twenty-seven and 13 BI-SBO patients constituted the non-ST group and ST group, respectively. The clinical manifestations of BI-SBO in both groups were abdominal pain, nausea, vomiting, and lack of defecation. Comparing the non-ST vs ST groups, respectively: mean age (years): 63.15 ± 16.15 vs 60.38 ± 12.47; duration of symptoms (hours): 55.11 ± 44.08 vs 59.33 ± 72.90; mean bezoar length (cm): 5.31 ± 0.74 vs 3.72 ± 0.53; mean bezoar width (cm): 3.74 ± 0.48 vs 2.9 ± 0.64; bezoar CT maximum Hounsfield units (HU): 97.23 ± 12.36 vs 21.11 ± 7.27; total hospital stay (days): 5.56 ± 4.23 vs 7.12 ± 6.12 (mean: 8.62 ± 2.81); and total hospitalization costs (RMB): 6378.02 ± 3015.68 vs 8213.71 ± 5564.29. Mean operation time was 85.00 ± 8.90 minutes, and mean operation blood loss was 32.31 ± 19.64 mL. Bezoars were located 60 to 160 cm from the ileocecal junction. Univariate analysis demonstrated that bezoar length and width and maximum CT value were significant risk factors for surgery. Conclusion Large bezoar size and high CT values may be indications for surgery. Surgery is necessary and effective when nonsurgical treatment is ineffective.
- Published
- 2021
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21. New Inertial Relaxed CQ Algorithms for Solving Split Feasibility Problems in Hilbert Spaces
- Author
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Haiying Li, Yulian Wu, and Fenghui Wang
- Subjects
Mathematics ,QA1-939 - Abstract
The split feasibility problem SFP has received much attention due to its various applications in signal processing and image reconstruction. In this paper, we propose two inertial relaxed CQ algorithms for solving the split feasibility problem in real Hilbert spaces according to the previous experience of applying inertial technology to the algorithm. These algorithms involve metric projections onto half-spaces, and we construct new variable step size, which has an exact form and does not need to know a prior information norm of bounded linear operators. Furthermore, we also establish weak and strong convergence of the proposed algorithms under certain mild conditions and present a numerical experiment to illustrate the performance of the proposed algorithms.
- Published
- 2021
- Full Text
- View/download PDF
22. Cyanidin-3-O-Glucoside improves the viability of human islet cells treated with amylin or Aβ1-42 in vitro.
- Author
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Jennifer Croden, Josue Rodrigues Silva, Wenlong Huang, Nancy Gupta, Wen Fu, Kaja Matovinovic, Mazzen Black, Xian Li, Kunsong Chen, Yulian Wu, Jack Jhamandas, and Gina R Rayat
- Subjects
Medicine ,Science - Abstract
Islet transplantation is being considered as an alternative treatment for type 1 diabetes. Despite recent progress, transplant recipients continue to experience progressive loss of insulin independence. Cyanidin-3-O-Glucoside (C3G) has shown to be protective against damage that may lead to post-transplant islet loss. In this study, human islets cultured with or without C3G were treated with human amylin, Aβ1-42, H2O2, or rapamycin to mimic stresses encountered in the post-transplant environment. Samples of these islets were collected and assayed to determine C3G's effect on cell viability and function, reactive oxygen species (ROS), oxidative stress, amyloid formation, and the presence of inflammatory as well as autophagic markers. C3G treatment of human islets exposed to either amylin or Aβ1-42 increased cell viability (p
- Published
- 2021
- Full Text
- View/download PDF
23. MiR-877 suppresses gastric cancer progression by downregulating AQP3
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Hongyu Zhu, Yulian Wu, Muxing Kang, and Bo Zhang
- Subjects
Medicine (General) ,R5-920 - Abstract
Objectives Gastric cancer (GC) is the leading cause of cancer-related deaths worldwide; however, the underlying molecular mechanisms of GC remain unclear. This study investigated the role of the miR-877–AQP3 axis in GC tumorigenesis. Methods The levels of miR-877 expression were measured in GC tissues and cell lines by qRT-PCR. Functional assays were performed to elucidate the role of miR-877 in GC development. Results Our results showed that miR-877 levels were lower in GC tissues and cell lines compared with the corresponding controls. Additionally, reduced miR-877 levels were associated with unfavorable prognoses. Increased miR-877 expression suppressed proliferation, invasion, and epithelial-mesenchymal transition, while promoting apoptosis in GC cells. Luciferase reporter assays showed that aquaporin 3 (AQP3) was a direct downstream target of miR-877. Overexpression of AQP3 partially rescued the tumor suppressive effects of miR-877 in GC cells. Moreover, miR-877 was negatively correlated with AQP3 mRNA expression in GC tissues. Conclusions This study demonstrated that miR-877 plays a suppressive role in GC tumorigenesis by regulating AQP3.
- Published
- 2020
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24. Improved English Immersion Teaching Methods for the Course of Power Electronics for Energy Storage System in China
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Lisong Wang, Yatong Li, Zhongmei Wang, Shiyu Shu, Yun Zhang, and Yulian Wu
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English immersion teaching ,English-oriented logic ,electrical engineering ,energy storage ,micro-lecture ,power electronics ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
With the speedy progress in electrical engineering field globally, power electronics course has aroused attention from academic community. English immersion teaching methods applied to power electronics course aim to introduce advanced counterpart academic knowledge from abroad to China and equip students and teaching staffs with international views as well as English-oriented logical and critical thinking in power electronics, and thus to promote power electronics development in China in the long term. By utilizing English immersion teaching methods for power electronics course, which involves problem-based learning, English-project-based assessment method and English-based laboratory operation, the challenges that the innovative teaching methods confront could be solved during each process of power electronics course. For further illustration, English immersion teaching methods for energy storage will be analysed as a study case. Consequently, the new English immersion teaching methods for power electronics course in China can be spread and applied in other non-native English-speaking countries to upgrade and reform power electronics course and related discipline.
- Published
- 2018
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25. Exosomes derived from pancreatic cancer cells induce insulin resistance in C2C12 myotube cells through the PI3K/Akt/FoxO1 pathway
- Author
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Lantian Wang, Bo Zhang, Wen Zheng, Muxing Kang, Qing Chen, Wenjie Qin, Chao Li, Yuefeng Zhang, Yingkuan Shao, and Yulian Wu
- Subjects
Medicine ,Science - Abstract
Abstract Prospective epidemiological studies have consistently suggested that pancreatic cancer-associated new-onset diabetes mellitus (PC-DM) represents a potential platform for early diagnose of pancreatic cancer (PC). Despite the studies performed, the mechanism behind this phenomenon remains ambiguous. In this study, we explored the effects of two types of exosomes released by murine pancreatic cancer and ductal epithelial cells on murine skeletal muscle cells. The results show that PC-derived exosomes can readily enter C2C12 myotubes, triggering lipidosis and glucose intake inhibition. We also demonstrate that PC-derived exosomes can inhibit insulin and PI3K/Akt signalling, in which insulin-induced FoxO1 nuclear exclusion is preserved and Glut4 trafficking is impaired. Microarray and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses show that exosomal microRNAs (miRNAs) probably play key roles in this process, an assumption that is corroborated by in vitro studies. These results confirm that the insulin resistance (IR) of skeletal muscle cells is governed by PC-derived exosomes through the insulin and PI3K/Akt/FoxO1 signalling pathways, where exosomal miRNAs potentially contribute to this phenomenon. These novel findings pave the way towards a comprehensive understanding of the cancer theories: “metabolic reprogramming” and “metabolic crosstalk”.
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- 2017
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26. The potential value of serum pepsinogen for the diagnosis of atrophic gastritis among the health check-up populations in China: a diagnostic clinical research
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Yuling Tong, Yulian Wu, Zhenya Song, Yingying Yu, and Xinyan Yu
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Serum pepsinogen ,Atrophic gastritis ,Helicobacter pylori infection ,Health check-up ,Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Abstract Background The aim of this study is to assess the validity of the measurement of pepsinogen as a screening test for chronic atrophic gastritis (AG) in health check-up populations in China. Methods Patients from consecutive regular health check-up were enrolled from January 2014 to June 2015. Endoscopy, combined with monitoring the Helicobacter pylori (Hp) infections, and measuring the serum pepsinogen (PG) were used to determine the diagnostic accuracy of PG for the screening of atrophic gastritis. Histopathology was assessed by the Operative Link on Gastritis Assessment (OLGA) system. Statistical analysis was performed using SPSS statistical software. Results The total Hp infection rate was 40%. Based on pathology, the 996 participants were divided into three groups: non-atrophic (NAG), mild-moderate atrophic (MAG): stage I and II of the OLGA classification, and severe atrophic (SAG): stage III and IV of the OLGA classification. Compared with NAG and MAG groups, PGR decreased significantly in SAG group (p
- Published
- 2017
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27. Better-than-KL PAC-Bayes Bounds.
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Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang, and Francesco Orabona
- Published
- 2024
28. Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards.
- Author
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Yulian Wu, Xingyu Zhou 0001, Sayak Ray Chowdhury, and Di Wang 0015
- Published
- 2023
29. On Private and Robust Bandits.
- Author
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Yulian Wu, Xingyu Zhou 0001, Youming Tao 0001, and Di Wang 0015
- Published
- 2023
30. Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits.
- Author
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Youming Tao 0001, Yulian Wu, Peng Zhao, and Di Wang 0015
- Published
- 2022
31. Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited.
- Author
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Youming Tao 0001, Yulian Wu, Xiuzhen Cheng 0001, and Di Wang 0015
- Published
- 2022
- Full Text
- View/download PDF
32. Quantum Heavy-tailed Bandits.
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Yulian Wu, Chaowen Guan, Vaneet Aggarwal, and Di Wang 0015
- Published
- 2023
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33. Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning.
- Author
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Bhargav Ganguly, Yulian Wu, Di Wang 0015, and Vaneet Aggarwal
- Published
- 2023
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34. Where Dragon Veins Meet: The Kangxi Emperor and His Estate at Rehe , by Stephen H. Whiteman
- Author
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Yulian Wu
- Subjects
Cultural Studies ,Linguistics and Language ,History ,History and Philosophy of Science ,Literature and Literary Theory ,Language and Linguistics - Published
- 2023
35. Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits.
- Author
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Youming Tao 0001, Yulian Wu, Peng Zhao, and Di Wang 0015
- Published
- 2021
36. Research on sub-health monitoring of equipment based on industrial big data technology
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Shaoping Zhu, Weimin Ma, Yupeng Li, Yan Zeng, Jinhui Yin, and Yulian Wu
- Subjects
Materials Science (miscellaneous) ,Business and International Management ,Industrial and Manufacturing Engineering - Abstract
Aiming at the problems of traditional equipment fault diagnosis, such as poor real-time performance, low efficiency and strong subjectivity, a method of industrial equipment sub-health status monitoring based on big data technology was proposed. Firstly, the characteristic engineering of vibration signals is formed by preprocessing vibration signals collected by sensors located near the bearing shaft. Then, the deep residual shrinkage network DRSN was used to build the classification model. By tuning the model parameters, the optimal sub-health status identification model of industrial equipment was obtained. Finally, the accuracy, robustness and generalization of the model were verified. Experimental results show that this method has better generalization performance and can significantly improve the accuracy of industrial equipment fault diagnosis, which has important theoretical value and practical significance to solve the sub-health problems of industrial equipment.
- Published
- 2022
37. γδ‐T cell with high toxic potential was associated with recurrent miscarriage
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Huan Xiao, Rong Lin, Cong Chen, Ruochun Lian, Yulian Wu, Lianghui Diao, Tailang Yin, and Chunyu Huang
- Subjects
Reproductive Medicine ,Immunology ,Obstetrics and Gynecology ,Immunology and Allergy - Published
- 2023
38. Elderly Pancreatic Adenocarcinoma Cancer Patients Could Benefit From Postoperative Chemotherapy
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Bin Xu, Jinbo Shi, Wenjie Lu, Yulian Wu, and Xin Dong
- Subjects
Endocrinology ,Hepatology ,Endocrinology, Diabetes and Metabolism ,Internal Medicine - Published
- 2023
39. O-GlcNAcylation and stablization of SIRT7 promote pancreatic cancer progression by blocking the SIRT7-REGγ interaction
- Author
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Xiaoman He, Yongzhou Li, Qing Chen, Lei Zheng, Jianyao Lou, Chuanshuai Lin, Jiali Gong, Yi Zhu, and Yulian Wu
- Subjects
Pancreatic Neoplasms ,Proteasome Endopeptidase Complex ,Serine ,Humans ,Sirtuins ,Cell Biology ,N-Acetylglucosaminyltransferases ,NAD ,Autoantigens ,Protein Processing, Post-Translational ,Molecular Biology ,Carcinoma, Pancreatic Ductal ,Cell Proliferation - Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers and its dismal prognosis indicates the urgent need to elucidate the potential oncogenic mechanisms. SIRT7 is a classic NAD+-dependent deacetylase that stabilizes the transformed state of cancer cells. However, its functional roles in PDAC are still unclear. Here, we found that SIRT7 expression is upregulated and predicts poor prognosis in PDAC. Then we screened the new interacting proteins of SIRT7 by mass spectrometry and the results showed that SIRT7 can interact with O-GlcNAc transferase (OGT). O-GlcNAcylation stabilizes the SIRT7 protein by inhibiting its interaction with REGγ to prevent degradation, and hyper-O-GlcNAcylation in pancreatic cancer cells leads to hypoacetylation of H3K18 via SIRT7, which promotes transcriptional repression of several tumour suppressor genes. In addition, SIRT7 O-GlcNAcylation at the serine 136 residue (S136) is required to maintain its protein stability and deacetylation ability. In vivo and in vitro experiments showed that blocking SIRT7 O-GlcNAcylation at S136 attenuates tumour progression. Collectively, we demonstrate that O-GlcNAcylation is an important post-translational modification of SIRT7 in pancreatic cancer cells, and elucidating this mechanism of SIRT7 is expected to pave the way for the development of novel therapeutic methods in the future.
- Published
- 2022
40. Night Shift Work and Gastrointestinal Cancer Risk: Findings from a Large-Scale Prospective Cohort Study
- Author
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Xiawei Li, Sien Hu, Yongji Sun, Yixuan Wu, Yiqun Fan, Changming Lv, Tianyu Song, Jianyao Lou, Zikun Pan, Fanghe Ye, Ning Wang, Jian Wu, and Yulian Wu
- Published
- 2023
41. Luxurious Networks: Salt Merchants, Status, and Statecraft in Eighteenth-Century China
- Author
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Yulian Wu and Yulian Wu
- Published
- 2017
42. Speckle noise removal via nonlocal low-rank regularization.
- Author
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Yulian Wu
- Published
- 2016
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43. Convergence analysis for solving equilibrium problems and split feasibility problems in Hilbert spaces
- Author
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Haiying Li, Yulian Wu, and Fenghui Wang
- Subjects
Control and Optimization ,Applied Mathematics ,Management Science and Operations Research - Published
- 2022
44. Self-doping synthesis of iodine–carbon quantum dots for sensitive detection of Fe(<scp>iii</scp>) and cellular imaging
- Author
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Kun Luo, Wenyi Luo, Zhibin Liang, Yubin Li, Xinhuang Kang, Yulian Wu, and Yanmei Wen
- Subjects
Materials Chemistry ,General Chemistry ,Catalysis - Abstract
Iodine-doped carbon quantum dots (I-CQDs) were synthesized via p-iodobenzoic acid self-doping for the detection of ferric ions (Fe3+) and cell imaging.
- Published
- 2022
45. Parabolic relationship between
- Author
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Yulian, Wu, Dandan, Zhang, Sheng, Ye, Quanhui, Liu, and Ben, Huang
- Abstract
Mammary epithelial cells are the only cells of mammary glands with lactation capacity. They are closely related to mammary development and milk yield. Our earlier studies showed that the transformation of goat fibroblasts into induced mammary epithelial cells (iMECs) was closely correlated with
- Published
- 2022
46. SDHA/B reduction promotes hepatocellular carcinoma by facilitating the deNEDDylation of cullin1 and stabilizing YAP/TAZ
- Author
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Tao Yuan, Tianyi Zhou, Meijia Qian, Jiamin Du, Yue Liu, Jia'er Wang, Yonghao Li, Guanghan Fan, Fangjie Yan, Xiaoyang Dai, Xiawei Li, Yulian Wu, Xin Dong, Qiaojun He, Hong Zhu, and Bo Yang
- Subjects
Hepatology - Abstract
Succinate dehydrogenase enzyme (SDH) is frequently diminished in samples from patients with hepatocellular carcinoma (HCC), and SDH reduction is associated with elevated succinate level and poor prognosis in patients with HCC. However, the underlying mechanisms of how impaired SDH activity promotes HCC remain unclear.In this study, we observed remarkable downregulations of SDH subunits A and B (SDHA/B) in chronic liver injury-induced murine HCC models and patient samples. Subsequent RNA sequencing, hematoxylin and eosin staining, and immunohistochemistry analyses of HCC samples revealed that Yes-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ) were significantly upregulated in HCC, with their levels inversely correlating with that of SDHA/B. YAP/TAZ stability was greatly enhanced in SDHA/B-depleted HCC cells along with accumulation of succinate. Further mechanistic analyses demonstrated that impaired activity of SDHA/B resulted in succinate accumulation, which facilitated the deNEDDylation of cullin1 and therefore disrupted the E3 ubiquitin ligase SCFOur study demonstrated that SDHA/B reduction promotes HCC proliferation by preventing the proteasomal degradation of YAP/TAZ through modulating cullin1 NEDDylation, thus binding SDH-deficient HCC cells to YAP/TAZ pathway and rendering these cells vulnerable to YAP/TAZ inhibition. Our findings warrant further investigation on the therapeutic effects of targeting YAP/TAZ in patients with HCC displaying reduced SDHA/B or elevated succinate levels.
- Published
- 2022
47. Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited
- Author
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Youming Tao, Yulian Wu, Xiuzhen Cheng, and Di Wang
- Abstract
In this paper, we revisit the problem of Differentially Private Stochastic Convex Optimization (DP-SCO) with heavy-tailed data, where the gradient of the loss function has bounded moments. Instead of the case where the loss function is Lipschitz or each coordinate of the gradient has bounded second moment studied previously, we consider a relaxed scenario where each coordinate of the gradient only has bounded (1+v)-th moment with some v∈(0, 1]. Firstly, we start from the one dimensional private mean estimation for heavy-tailed distributions. We propose a novel robust and private mean estimator which is optimal. Based on its idea, we then extend to the general d-dimensional space and study DP-SCO with general convex and strongly convex loss functions. We also provide lower bounds for these two classes of loss under our setting and show that our upper bounds are optimal up to a factor of O(Poly(d)). To address the high dimensionality issue, we also study DP-SCO with heavy-tailed gradient under some sparsity constraint (DP sparse learning). We propose a new method and show it is also optimal up to a factor of O(s*), where s* is the underlying sparsity of the constraint.
- Published
- 2022
48. Synthesis of graphene quantum dots with temperature-sensitive properties from sea rice for rapid and highly selective detection of 4-nitrophenol
- Author
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Kun Luo, Xiaoyu Luo, Yulian Wu, Zhibin Liang, Xinhuang Kang, and Yanmei Wen
- Subjects
Mechanical Engineering ,Materials Chemistry ,General Chemistry ,Electrical and Electronic Engineering ,Electronic, Optical and Magnetic Materials - Published
- 2023
49. Whether early stage pancreatic ductal adenocarcinoma patients could benefit from the post-operation chemotherapy regimens: a SEER-based propensity score matching study
- Author
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Yulian Wu, Xiawei Li, and Jinbo Shi
- Subjects
Oncology ,medicine.medical_specialty ,Pancreatic ductal adenocarcinoma ,endocrine system diseases ,medicine.medical_treatment ,Adenocarcinoma ,Internal medicine ,medicine ,Humans ,Stage (cooking) ,Propensity Score ,Survival rate ,Survival analysis ,Neoplasm Staging ,Chemotherapy ,Proportional hazards model ,business.industry ,General Medicine ,Prognosis ,Chemotherapy regimen ,Pancreatic Neoplasms ,Chemotherapy, Adjuvant ,Propensity score matching ,business ,Carcinoma, Pancreatic Ductal ,Research Article - Abstract
OBJECTIVE: To investigate whether chemotherapy could prolong the postoperative survival time in patients with early stages pancreatic ductal adenocarcinoma (PDAC). METHODS: A total of 5280 stage ⅠA -ⅡB PDAC patients diagnosed from 2010 to 2015 were selected from surveillance,epidemiology,and end results (SEER) database. Propensity score matching (PSM) analysis was adopted to reduce the baseline differences between the groups. Univariate survival analysis was conducted with the Kaplan-Meier method. Multivariate survival analysis was performed with the Cox proportional hazards model. RESULTS: Univariate and multivariate survival analyses showed that age, differentiation, stage, chemotherapy were independent risk factors for the survival of PDAC patients. After PSM, it is found that adjuvant chemotherapy could prolong the median overall survival time (mOS) for stage ⅠB, ⅡA and ⅡB patients. However, for stage ⅠA patients, there were no significant differences in 3-year survival rate and mOS between patients with chemotherapy ( n=283) and without chemotherapy ( n=229) (57.4% vs 55.6%, 44.0 months vs 43.0 months, all P>0.05). Further analyses show that among 101 patients with well differentiated PDAC and 294 patients with moderately differentiated PDAC, there were no significant differences in 3-year survival rate and mOS between patients with and without chemotherapy (all P>0.05). Among 117 patients with low-differentiated + undifferentiated PDAC, 3-year survival rate and mOS in patients with chemotherapy were significantly better than those without chemotherapy (48.5% vs 34.1%, 38.0 months vs 20.0 months, all P
- Published
- 2021
50. LncRNA MAFG-AS1 affects the tumorigenesis of breast cancer cells via the miR-574-5p/SOD2 axis
- Author
-
Haohang Sun, Ji Dai, Yulian Wu, Meidi Yan, and Shuangshuang Zhang
- Subjects
0301 basic medicine ,Carcinogenesis ,Cell Survival ,Mutant ,Biophysics ,SOD2 ,Apoptosis ,Breast Neoplasms ,Mice, SCID ,medicine.disease_cause ,Biochemistry ,03 medical and health sciences ,0302 clinical medicine ,Downregulation and upregulation ,Cell Movement ,Cell Line, Tumor ,medicine ,Animals ,Humans ,Gene silencing ,Neoplasm Invasiveness ,Molecular Biology ,Messenger RNA ,Oncogene ,Superoxide Dismutase ,Chemistry ,Cell Biology ,Gene Expression Regulation, Neoplastic ,MicroRNAs ,030104 developmental biology ,Caspases ,030220 oncology & carcinogenesis ,Cancer research ,Female ,RNA, Long Noncoding - Abstract
Amounting evidence suggested that long non coding RNAs (lncRNAs) played vital roles in the progression of various cancers. The aim of this study is to examine the biological roles and underlying mechanisms of lncRNA MAFG-AS1 in the tumorigenesis of breast cancer (BC) cells. Here we showed that downregulation of MAFG-AS1 inhibited the viability, migration, and invasion of BC cells. Mechanism investigation showed that inhibition of MAFG-AS1 induced apoptosis via the intrinsic apoptotic pathway and overexpression of Bcl-2 could inhibited it. Further, MAFG-AS1 acts as a sponge of miR-574-5p which directly binds to SOD2 mRNA. Re-expression of SOD2 using a 3′-UTR mutant SOD2 reversed the effects of silencing of MAFG-AS1 on BC cells. Finally, downregulation of MAFG-AS1 inhibited the growth of tumour in vivo. Together, MAFG-AS1 acts as an oncogene via regulation of miR-574-5p/SOD2 axis in BC cells.
- Published
- 2021
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