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Co-alteration of Myc and RTK-RAS pathways defines a liver-metastatic propensity and immune-cold subgroup of pancreatic adenocarcinoma

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Genes & Diseases 2024年第3期11卷 47-50页

作者： Yuyuan Zhang Ziyang Zu Hui Xu siyuan weng Yuqing Ren Quan Cheng Peng Luo Jian Zhang Zaoqu Liu Xinwei Han Department of Interventional Radiology The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan450052China Interventional Institute of Zhengzhou University ZhengzhouHenan450052China Interventional Treatment and Clinical Research Center of Henan Province ZhengzhouHenan 450052China Department of Hepatobiliary and Pancreatic Surgery The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China Department of Respiratory and Critical Care Medicine The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan450052China Department of Neurosurgery Xiangya HospitalCentral South UniversityChangshaHunan 410008China Department of Oncology Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdong 510280China

Co-altered pathways refer to the phenomenon where multiple biological pathways exhibit aberrant changes simultaneously within the same tumor *** phenomenon can facilitate a better understanding of the mechanism and evolution of tumors and serve as a biological marker for diagnosing,classifying,and treating tumors.1 However,the nature of alteration occurrence and the impact on pancreatic adenocarcinoma(PAAD)remain *** SELECT algorithm was originally designed to systematically assess the evolutionary dependencies and their impact between altered genes in cancer for anticipating drug resistance and proposing alternative ***,to better characterize the etiology of PAAD and develop an improved risk assessment strategy,2 by utilizing SELECT,we identified a co-altered pathway subgroup of PAAD that demonstrated an elevated risk for unfavorable prognosis,a propensity for liver metastasis,and an immunologically cold microenvironment.

关键词： adenocarcinoma elevated alteration

Integrative analysis of tumor stemness and immune microenvironment deciphers novel molecular subtypes in hepatocellular carcinoma

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Genes & Diseases 2024年第5期11卷 81-84页

作者： Zhiyi Wang Shuang Chen Dongxiao Li Hui Xu siyuan weng Yuyuan Zhang Yuqing Ren Chunguang Guo Xiuling Li Zaoqu Liu Xinwei Han Department of Interventional Radiology The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China Department of Gastroenterology Henan Provincial People’s HospitalZhengzhou University People’s HospitalZhengzhouHenan 450004China Center of Reproductive Medicine The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China Department of Respiratory and Critical Care Medicine The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China Department of Endovascular Surgery The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China State Key Laboratory of Proteomics Beijing Proteome Research CenterNational Center for Protein Sciences(Beijing)Beijing Institute of LifeomicsBeijing 102206China State Key Laboratory of Medical Molecular Biology Institute of Basic Medical SciencesChinese Academy of Medical SciencesDepartment of PathophysiologyPeking Union Medical CollegeBeijing 100730China

Hepatocellular carcinoma(HCC)is a highly heterogeneous tumor,with dynamic equilibrium and complex interplay between its intricate tumor nature and ambient tumor immune microenvironment(TIME).1 Elegant research has indicated that cancer stem cells,a small subset of neoplastic cells confined within dedicated niches,display stem cell-like properties and interact with cells in TIME,thereby imparting an indelible impact on stemness regulation,tumor heterogeneity,and cancer cell plasticity.2 Previous taxonomies solely from the perspective of stemness or TIME may introduce some degree of bias in the comprehension of HCC carcinogenesis,3,4 and thus it is of paramount importance to systematically consider tumor stemness and TIME as a whole to truly portray the biological landscape of HCC.

关键词： thereby landscape stem

P3HT∶PC_(61)BM作为活性层制备无机/有机异质结光电探测器的研究

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光学学报 2022年第13期42卷 9-16页

作者：翁思远蒋大勇赵曼长春理工大学材料科学与工程学院吉林长春130022 教育部光电功能材料工程研究中心吉林长春130022

本体异质结(BHJ)是有机光电探测器(OPD)最有意义的结构之一,它可以通过在溶剂中混入供体和受体并借助溶胶-凝胶方法来实现。BHJ已经被证明是调节有机半导体激子扩散长度的一种有效方法,而制备具有这种结构的有机光电探测器是一项非常重... 详细信息

本体异质结(BHJ)是有机光电探测器(OPD)最有意义的结构之一,它可以通过在溶剂中混入供体和受体并借助溶胶-凝胶方法来实现。BHJ已经被证明是调节有机半导体激子扩散长度的一种有效方法,而制备具有这种结构的有机光电探测器是一项非常重要的工作。因此,使用共轭聚合物供体聚(3-己基噻吩)(P3HT)和富勒烯衍生物受体[6,6]-苯C-丁酸甲酯(PC_(61)BM)形成活性层制备二元BHJ OPD,从而提高MgZnO紫外光电探测器的性能。结果表明,OPD的响应度可达0.721 A/W,与MgZnO紫外光电探测器相比提高了约3.9倍。此外,OPD具有更出色的检测能力、更好的响应度和更高的光暗电流比。

关键词：探测器有机光电探测器共轭聚合物富勒烯二元本体异质结

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Fourier-domain-compressed optical time-stretch quantitative phase imaging flow cytometry

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Photonics Research 2024年第8期12卷 1627-1639页

作者： RUBING LI YUEYUN weng SHUBIN WEI siyuan LIN JIN HUANG CONGKUAN SONG HUI SHEN JINXUAN HOU YU XU LIYE MEI DU WANG YUJIE ZOU TAILANG YIN FULING ZHOU QING GENG SHENG LIU CHENG LEI Institute of Technological Sciences Wuhan University School of Power and Mechanical Engineering Wuhan University Department of Thoracic Surgery Renmin HospitalWuhan University Department of Hematology Zhongnan HospitalWuhan University Department of Thyroid and Breast Surgery Zhongnan HospitalWuhan University Department of Radiation and Medical Oncology Zhongnan HospitalWuhan University School of Computer Science Hubei University of Technology Reproductive Medical Center Renmin HospitalWuhan University Suzhou Institute of Wuhan University Shenzhen Institute of Wuhan University

Optical time-stretch (OTS) imaging flow cytometry offers a promising solution for high-throughput and highprecision cell analysis due to its capabilities of high-speed, high-quality, and continuous imaging. Compressed sensing (CS) makes it practically applicable by significantly reducing the data volume while maintaining its highspeed and high-quality imaging properties. To enrich the information of the images acquired with CS-equipped OTS imaging flow cytometry, in this work we propose and experimentally demonstrate Fourier-domaincompressed OTS quantitative phase imaging flow cytometry. It is capable of acquiring intensity and quantitative phase images of cells simultaneously from the compressed data. To evaluate the performance of our method, static microparticles and a corn root cross section are experimentally measured under various compression ***, to show how our method can be applied in practice, we utilize it in the drug response analysis of breast cancer cells. Experimental results show that our method can acquire high-quality intensity and quantitative phase images of flowing cells at a flowing speed of 1 m/s and a compression ratio of 30%. Combined with machine-learning-based image analysis, it can distinguish drug-treated and drug-untreated cells with an accuracy of over 95%. We believe our method can facilitate cell analysis in both scientific research and clinical settings where both high-throughput and high-content cell analysis is required.

关键词： Image sensors Imaging systems Imaging techniques Phase imaging Refractive index Spatial resolution

Literature classification and its applications in condensed matter physics and materials science by natural language processing

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Chinese Physics B 2024年第5期33卷 117-123页

作者：吴思远朱天念涂思佳肖睿娟袁洁吴泉生李泓翁红明 Institute of Physics Chinese Academy of SciencesBeijing 100190China School of Physical Sciences University of Chinese Academy of SciencesBeijing 100190China College of Materials Science and Optoelectronic Technology University of Chinese Academy of SciencesBeijing 100049China Condensed Matter Physics Data Center of Chinese Academy of Sciences Beijing 100190China

The exponential growth of literature is constraining researchers’access to comprehensive information in related *** natural language processing(NLP)may offer an effective solution to literature classification,it remains hindered by the lack of labelled *** this article,we introduce a novel method for generating literature classification models through semi-supervised learning,which can generate labelled dataset iteratively with limited human *** apply this method to train NLP models for classifying literatures related to several research directions,i.e.,battery,superconductor,topological material,and artificial intelligence(AI)in materials *** trained NLP‘battery’model applied on a larger dataset different from the training and testing dataset can achieve F1 score of 0.738,which indicates the accuracy and reliability of this ***,our approach demonstrates that even with insufficient data,the not-well-trained model in the first few cycles can identify the relationships among different research fields and facilitate the discovery and understanding of interdisciplinary directions.

关键词： natural language processing text mining materials science

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A hybrid nickel/iron-pyromellitic acid electrocatalyst for oxygen evolution reaction

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Nano Research 2024年第4期17卷 2481-2491页

作者： Guoqi Li Lin Li Wenlong Li Fusheng Li Chunze Yuan Nian Zhang Hui Zhang Tsu-Chien weng School of Physical Science and Technology ShanghaiTech UniversityShanghai 201210China Center for Transformative Science ShanghaiTech UniversityShanghai 201210China State Key Lab of Fine Chemicals Institute of Artificial PhotosynthesisDUT-KTH Joint Education and Research Center on Molecular DevicesDalian University of Technology(DUT)Dalian 116024China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China

The migration of protons during the oxygen evolution reaction(OER)is a key factor that affects the performance of OER *** enhance proton transportation,we designed a catalyst based on nickel/iron-pyromellitic acid(NiFe-PMA)prepared by the electrochemical deposition *** catalyst exhibited a low overpotential of 188 mV at a current density of 10 mA·cm^(-2),a Tafel slope of 28.2 mV·dec^(-1),and long-term stability for 30 days with a current of 50 mA·cm^(-2).We characterized the NiFe-PMA catalyst using various techniques,including Fourier transform infrared(FTIR)spectroscopy,Raman spectroscopy,X-ray photoelectron spectroscopy(XPS),X-ray absorption spectroscopy(XAS),transmission electron microscopy(TEM),scanning electron microscopy(SEM),and inductively coupled plasma-optical emission spectrometry(ICP-OES).Our results showed that NiFe-PMA contains nickel,iron atoms,and both coordinated and uncoordinated carboxylate ***,XPS data confirmed that carboxylate ligands could adjust the outer electronic structure of metal ions,resulting in the high valence state of Ni in *** result of XAS indicated that the nickel atoms present in the catalyst might be easier to maintain a higher chemical *** investigations using kinetic isotope effects(KIEs)and proton inventory revealed that the uncoordinated carboxylic protons played a crucial role in receiving protons during the OER,which promoted the proton transfer of the rate-determining step of the *** novel electrocatalysts provide a new strategy for designing more active and cost-effective catalysts for the OER.

关键词： nickel/iron-pyromellitic acid oxygen evolution reaction kinetic isotope effects

乳房X线片深度学习联合临床特征列线图预测乳腺癌表达人表皮生长因子受体2(HER-2)状态

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中国医学影像技术 2023年第11期39卷 1659-1664页

作者：刘思腾于湛李哲人刘译阳翁思远王洁洁郑州大学第一附属医院放射科河南郑州450052 郑州大学第一附属医院放射介入科河南郑州450052 上海联影智能医疗科技有限公司上海200030

目的观察深度学习(DL)术前乳房X线片(MG)联合临床特征列线图预测乳腺癌表达人表皮生长因子受体2(HER-2)状态的价值。方法回顾性分析265例HER-2检测结果均为(++)的单发乳腺癌患者的MG和临床资料,包括93例HER-2阳性、172例HER-2阴性;按8∶... 详细信息

目的观察深度学习(DL)术前乳房X线片(MG)联合临床特征列线图预测乳腺癌表达人表皮生长因子受体2(HER-2)状态的价值。方法回顾性分析265例HER-2检测结果均为(++)的单发乳腺癌患者的MG和临床资料,包括93例HER-2阳性、172例HER-2阴性;按8∶2比例将其分为训练集(n=211,含74例HER-2阳性、137例HER-2阴性)和验证集(n=54,19例HER-2阳性、35例HER-2阴性)。以单因素及多因素logistic回归分析临床资料,筛选乳腺癌表达HER-2状态的独立预测因素,以之构建临床模型。将头足位和内外斜位MG输入孪生DL网络,获得肿瘤ROI图像,并输入至ResNet50网络提取DL特征,通过全连接层进行特征融合,共获得2048个DL特征,经Softmax分类器输出二分类结果,得到DL评分(Deep-score),构建DL模型。以Deep-score和独立临床预测因素构建联合模型,并绘制列线图;以校准曲线评估其校准度。应用受试者工作特征(ROC)曲线评估各模型预测乳腺癌表达HER-2状态的效能,以决策曲线分析(DCA)评估其临床获益。结果雌激素受体状态(OR=3.63)和Ki-67表达水平(OR=2.84)为乳腺癌表达HER-2状态的临床独立预测因子(P均<0.05);基于此并联合Deep-score构建的联合模型的预测结果与实际结果的一致性良好,其在训练集的AUC(0.97)高于临床模型及DL模型(AUC=0.75、0.96,Z=7.15、2.03,P均<0.05),在验证集的AUC(0.88)高于临床模型(AUC=0.70,Z=5.76,P<0.01)而与DL模型差异无统计学意义(AUC=0.86,Z=1.50,P=0.33)。联合模型在训练集的临床净收益高于临床模型及DL模型,在验证集的临床净收益高于临床模型而与DL模型相当。结论MG DL联合临床特征列线图可有效预测乳腺癌表达HER-2状态。

关键词：乳腺肿瘤乳房X线摄影 ErbB受体深度学习

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补中益气汤及其核心药组对免疫抑制模型小鼠的免疫调节作用研究

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江苏中医药 2024年第5期56卷 68-72页

作者：王思远翁宇函安雅琳黑龙江中医药大学药学院黑龙江哈尔滨150040

目的:研究补中益气汤及其核心药组对免疫抑制模型小鼠的免疫调节作用。方法:昆明种雄性SPF级小鼠若干,使用环磷酰胺80 mg/(kg·d)腹腔注射连续3 d制作免疫抑制模型,另取11只小鼠作为空白组每日腹腔注射同体积生理盐水3 d。将造模成功的... 详细信息

目的:研究补中益气汤及其核心药组对免疫抑制模型小鼠的免疫调节作用。方法:昆明种雄性SPF级小鼠若干,使用环磷酰胺80 mg/(kg·d)腹腔注射连续3 d制作免疫抑制模型,另取11只小鼠作为空白组每日腹腔注射同体积生理盐水3 d。将造模成功的小鼠随机分为模型组、阳性药物组(盐酸左旋咪唑,每日灌胃量40 mg/kg)、补中益气汤高剂量组(每日灌胃量75.0 g/kg)、补中益气汤中剂量组(即全方组,每日灌胃量37.5 g/kg)、补中益气汤低剂量组(每日灌胃量18.6 g/kg)、黄芪^(+)白术组(每日灌胃量37.5 g/kg)、黄芪^(+)党参组(每日灌胃量37.5 g/kg)、白术^(+)党参组(每日灌胃量37.5 g/kg)、黄芪^(+)白术^(+)党参组(三药组,每日灌胃量37.5 g/kg)。各给药组每日分别给予相应药物灌胃,空白组、模型组每日给予同体积生理盐水灌胃,各组均连续灌胃17 d,最终每组均有10只小鼠进入指标检测阶段。灌胃结束后次日,处死小鼠取材进行指标检测。采用称重法测定各组小鼠体质量、胸腺及脾脏质量,计算胸腺指数、脾脏指数;采用流式细胞术检测各组小鼠脾脏CD3^(+)、CD4^(+)、CD8^(+)T淋巴细胞亚群比例,计算CD4^(+)/CD8^(+)值。结果:模型组小鼠脾脏指数、胸腺指数以及脾脏CD3^(+)、CD4^(+)、CD8^(+)T淋巴细胞亚群比例和CD4^(+)/CD8^(+)值均明显低于空白组(P0.05),其他剂量组小鼠免疫脏器指数明显低于阳性药物组(P<0.01);补中益气汤中剂量组小鼠脾脏指数明显高于低、高剂量组(P<0.01,P<0.05),胸腺指数明显高于低剂量组(P<0.01)。补中益气汤全方对免疫抑制模型小鼠的脾脏指数、胸腺指数改善作用较各配伍组合更有优势,黄芪、党参、白术三药组合对上述指标的改善作用较各二药组合更有优势。补中益气汤低、高剂量组小鼠CD3^(+)、CD4^(+)T淋巴细胞比例以及低剂量组CD4^(+)/CD8^(+)值均明显低于阳性药物组(P<0.01);补中益气汤低、高剂量组小鼠CD3^(+)T淋巴细胞比例以及低剂量组CD4^(+)/CD8^(+)值均明显低于中剂量组(P<0.01,P<0.05)。补中益气汤全方对免疫抑制模型小鼠脾脏T淋巴细胞亚群指标改善作用较各配伍组合更有优势,黄芪、党参、白术三药组合对上述指标的改善作用较各二药组合更有优势。结论:补中益气汤可拮抗环磷酰胺所导致的免疫抑制,增强机体免疫功能,其中中剂量的效果最为明显,且其对免疫抑制的干预作用需要多味药协同起效。

关键词：补中益气汤配伍组分 T细胞免疫抑制免疫调节

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龙门行吊系统及其力学分析

锻压装备与制造技术 2023年第5期58卷 58-61页

作者：李明珠莫云霞张怀礼翁思远马泽林国机铸锻机械有限公司山东济南250306 吉利汽车研究院(宁波)有限公司浙江宁波315000

龙门行吊系统是纵梁生产自动化连线的重要组成部分。本文介绍了龙门行吊系统,详细阐述了行吊轨道系统和程控行吊的结构,并对龙门行吊系统进行了建模和力学分析计算。

关键词：龙门行吊系统自动化连线行吊轨道系统程控行吊力学分析

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