Myocardial metastasis from ZEB1-and TWIST-positive spindle cell carcinoma of the esophagus:A case report

BACKGROUND Metastatic cardiac tumors are known to occur more frequently than primary cardiac tumors,however,they often remain asymptomatic and are commonly dis-covered on autopsy.Malignant tumors with a relatively high frequency of cardiac metastasis include mesothelioma,melanoma,lung cancer,and breast cancer,whereas reports of esophageal cancer with cardiac metastasis are rare.CASE SUMMARY The case of a 60-year-old man who complained of dysphagia is presented.Upper gastrointestinal endoscopy showed a submucosal tumor-like elevated lesion in the esophagus causing stenosis.Contrast-enhanced computed tomography showed left atrial compression due to the esophageal tumor,multiple liver and lung metastases,and a left pleural effusion.Pathological examination of a biopsy speci-men from the esophageal tumor showed spindle-shaped cells,raising suspicion of esophageal sarcoma.The disease progressed rapidly,and systemic chemotherapy was deemed necessary,however,due to his poor general condition,adminis-tration of cytotoxic agents was considered difficult.Given his high Combined Positive Score,nivolumab was administered,however,the patient soon died from the disease.The autopsy confirmed spindle cell carcinoma(SCC)of the esophagus and cardiac metastasis with similar histological features.Cancer stem cell markers,ZEB1 and TWIST,were positive in both the primary tumor and the cardiac metastasis.CONCLUSION To the best of our knowledge,there have been no prior reports of cardiac metastasis of esophageal SCC.This case highlights our experience with a patient with esophageal SCC who progressed rapidly and died from the disease,with the autopsy examination showing cardiac metastasis.

Phosphorylated vasodilator-stimulated phosphoprotein is localized on mitotic spindles of the gastric cancer cell line SGC-7901

AIM: To elucidate the localization of vasodilator stimulated phosphoprotein (VASP), a cytoskeletal organizing protein and a substrate of protein kinases A and G in mitotic gastric cancer cells. METHODS: Immunofluorescence microscopy was used to observe the localization of a-tubulin, VASP and Ser157 phosphorylated VASP (p-VASP) in interphase of mitotic gastric cancer of the cell line SGC-7901. RESULTS: Immunofluorescence staining showed that p-VASP but not VASP was co-localized with a-tubulin on spindle poles and fibers in prophase, metaphase and anaphase of the mitotic process of the gastric cancer cell line SGC-7901. H89, an inhibitor of protein kinases A and G, had no effect on the localization of p-VASP on the spindles. CONCLUSION: VASP may play a role in assembling and stabilizing the mitotic spindle of cells, and phosphorylation of the protein is the precondition for it to exert this function.

Mitotic phosphorylation of PRC1 at Thr470 is required for PRC1 oligomerization and proper central spindle organization

在细胞分裂期间，染色体分离被和着丝点的锭子微导管的相互作用安排。进在分开的染色单体之间的一支组织中央锭子的 interpolarmicrotubules 的戏剧的改变为胞质分裂的开始和实行被要求。中央锭子组织要求有丝分裂的 kinesins， chromosomal 旅客蛋白质建筑群，和微导管捆绑蛋白质 PRC1。由在 Thr470 和 Thr481 的 Cdc2 的 PRC1 isphosphorylated 在有丝分裂期间。然而，在 Thr470 的功能的关联 ofPRC1 磷酸化留下了逃犯。这里，我们证明 thenon-phosphorylatable 异种 PRC1 (T470A ) 然而并非 phospho-mimicking 异种 PRC1 (T470E ) 的那表情引起中央锭子的异常组织。Immunoprecipitation 实验与野类型的 PRC1 显示那 bothPRC1 (T470A ) 和 PRC1 (T470E ) 突变蛋白质伙伴，建议 Thr470 的 thatphosphorylation 不改变 PRC1 自我协会。另外，在 vitroco 沉积，实验证明 PRC1 绑在独立于 Thr470 的 phosphorylationstate 的微导管。胶化过滤实验建议了 PRC1 的 Thr470 promotesoligomerization 的那磷酸化。给 Thr470 磷酸化的那预防禁止 PRC1oligomerization 试管内并且引起中央锭子体内的一个异常组织的事实，我们建议这 phosphorylation 依赖的 PRC1 oligomerization 保证中央锭子汇编在房间周期发生在适当时间。

The role of AFAP1-AS1 in mitotic catastrophe and metastasis of triple-negative breast cancer cells by activating the PLK1 signaling pathway

Triple-negative breast cancer(TNBC)is characterized by fast growth,high metastasis,high invasion,and a lack of therapeutic targets.Mitosis and metastasis of TNBC cells are two important biological behaviors in TNBC malignant progression.It is well known that the long noncoding RNA AFAP1-AS1 plays a crucial role in various tumors,but whether AFAP1-AS1 is involved in the mitosis of TNBC cells remains unknown.In this study,we investigated the functional mechanism of AFAP1-AS1 in targeting Polo-like Kinase 1(PLK1)activation and participating in mitosis of TNBC cells.We detected the expression of AFAP1-AS1 in the TNBC patient cohort and primary cells by in situ hybridization(ISH),northern blot,fluorescent in situ hybridization(FISH)and cell nucleus/cytoplasm RNA fraction isolation.High AFAP1-AS1 expression was negatively correlated with overall survival(OS),disease-free survival(DFS),metastasis-free survival(MFS)and recurrence-free survival(RFS)in TNBC patients.We explored the function of AFAP1-AS1 by transwell,apoptosis,immunofluorescence(IF)and patient-derived xenograft(PDX)models in vitro and in vivo.We found that AFAP1-AS1 promoted TNBC primary cell survival by inhibiting mitotic catastrophe and increased TNBC primary cell growth,migration and invasion.Mechanistically,AFAP1-AS1 activated phosphorylation of the mitosis-associated kinase PLK1 protein.Elevated levels of AFAP1-AS1 in TNBC primary cells increased PLK1 pathway downstream gene expression,such as CDC25C,CDK1,BUB1 and TTK.More importantly,AFAP1-AS1 increased lung metastases in a mouse metastasis model.Taken together,AFAP1-AS1 functions as an oncogene that activates the PLK1 signaling pathway.AFAP1-AS1 could be used as a potential prognostic marker and therapeutic target for TNBC.

An Efficient Sleep Spindle Detection Algorithm Based on MP and LSBoost

Sleep spindles are an electroencephalogram(EEG)biomarker of non-rapid eye movement(NREM)sleep and have important implications for clinical diagnosis and prognosis.However,it is challenging to accurately detect sleep spindles due to the complexity of the human brain and the uncertainty of neural mechanisms.To improve the reliability and objectivity of sleep spindle detection and to compensate for the limitations of manual annotation,this study proposes a new automatic detection algorithm based on Matching Pursuit(MP)and Least Squares Boosting(LSBoost),where the automatic sleep spindle detection algorithm can help reduce the visual annotation workload of sleep clinicians.Specifically,MP is a time-frequency analysis method suitable for extracting spindle wave characteristics,which can accurately locate spindle waves on a time-frequency plane.LSBoost is an ensemble learning classification method to deal with unbalanced data.Initially,theMP method is used to search for EEG segments that are possible spindle waves from the filtered raw EEG data.Then,the designed feature segments are thrown into the LSBoost classifier to further identify the real spindles from all candidates and output the final results.The proposed method is verified on the common public dataset DREAMS.The experiment results showthat the sensitivity and F1-scores based on the sample-based assessments achieve 68.2% and 55.4%,respectively.Furthermore,the Recall and F1-score based on the event assessments are 83.8% and 70.8%,respectively.These results show that the proposed algorithm is robust to the subject changes in the DREAMS dataset.In addition,it improves the quality of sleep spindle detection,which is expected to assist the manual marking of experts.

Ensemble Model for Spindle Thermal Displacement Prediction of Machine Tools

Numerous factors affect the increased temperature of a machine tool, including prolonged and high-intensity usage,tool-workpiece interaction, mechanical friction, and elevated ambient temperatures, among others. Consequently,spindle thermal displacement occurs, and machining precision suffers. To prevent the errors caused by thetemperature rise of the Spindle fromaffecting the accuracy during themachining process, typically, the factory willwarm up themachine before themanufacturing process.However, if there is noway to understand the tool spindle’sthermal deformation, the machining quality will be greatly affected. In order to solve the above problem, thisstudy aims to predict the thermal displacement of the machine tool by using intelligent algorithms. In the practicalapplication, only a few temperature sensors are used to input the information into the prediction model for realtimethermal displacement prediction. This approach has greatly improved the quality of tool processing.However,each algorithm has different performances in different environments. In this study, an ensemble model is used tointegrate Long Short-TermMemory (LSTM) with Support VectorMachine (SVM). The experimental results showthat the prediction performance of LSTM-SVM is higher than that of other machine learning algorithms.

High spindle and kinetochore-associated complex subunit-3 expression predicts poor prognosis and correlates with adverse immune infiltration in hepatocellular carcinoma

BACKGROUND Spindle and kinetochore-associated complex subunit 3(SKA3)is a malignancyassociated gene that plays a critical role in the regulation of chromosome separation and cell division.However,the molecular mechanism through which SKA3 regulates tumor cell proliferation in hepatocellular carcinoma(HCC)has not been fully elucidated.AIM To investigate the molecular mechanisms underlying the role of SKA3 in HCC.METHODS SKA3 expression,clinicopathological,and survival analyses were performed using multiple public database platforms,and the results were verified by Western blot and immunohistochemistry staining using collected clinical samples.Functional enrichment analyses were performed to evaluate the biological functions and molecular mechanisms of SKA3 in HCC.Furthermore,the Tumor Immune Estimation Resource and single-sample Gene Set Enrichment Analysis(ssGSEA)algorithms were utilized to investigate the abundance of tumor-infiltrating immune cells in HCC.The response to chemotherapeutic drugs was evaluated by the R package“pRRophetic”.RESULTS We found that upregulated SKA3 expression was significantly correlated with poor prognosis in patients with HCC.Multivariable Cox regression analysis indicated that SKA3 was an independent risk factor for survival.GSEA revealed that SKA3 expression may facilitate proliferation and migratory processes by regulating the cell cycle and DNA repair.Moreover,patients with high SKA3 expression had significantly decreased ratios of CD8+T cells,natural killer cells,and dendritic cells.Drug sensitivity analysis showed that the high SKA3 group was more sensitive to sorafenib,sunitinib,paclitaxel,doxorubicin,gemcitabine,and vx-680.CONCLUSION High SKA3 expression led to poor prognosis in patients with HCC by enhancing HCC proliferation and repressing immune cell infiltration surrounding HCC.SKA3 may be used as a biomarker for poor prognosis and as a therapeutic target in HCC.

Managing spindle cell sarcoma with surgery and high-intensity focused ultrasound:A case report

BACKGROUND Undifferentiated pleomorphic sarcomas,also known as spindle cell sarcomas,are a relatively uncommon subtype of soft tissue sarcomas in clinical practice.CASE SUMMARY We present a case report of a 69-year-old female patient who was diagnosed with undifferentiated spindle cell soft tissue sarcoma on her left thigh.Surgical excision was initially performed,but the patient experienced a local recurrence following multiple surgeries and radioactive particle implantations.High-intensity focused ultrasound(HIFU)was subsequently administered,resulting in complete ablation of the sarcoma without any significant complications other than bone damage at the treated site.However,approximately four months later,the patient experienced a broken lesion at the original location.After further diagnostic workup,the patient underwent additional surgery and is currently stable with a good quality of life.CONCLUSION HIFU has shown positive outcomes in achieving local control of limb spindle cell sarcoma,making it an effective non-invasive treatment option.

双弹性和单弹性锭子振动性能研究

为准确掌握双弹性锭子的振动性能,与传统的单弹性锭子进行试验对比研究。制备了3组仅上轴承支撑刚度不同的双弹性和单弹性锭子;通过试验对比,分析和总结了铝套管、光杆、夹纱器、锭带力等对锭子不同部位振幅的影响变化规律。结果表明:在高速时,铝套管或光杆的双弹性锭子较对应的单弹性锭子不同部位的振幅略有增加;但带夹纱器的双弹性铝套管锭子的锭端振幅明显小于对应的单弹性锭子的振幅;锭带力对不同类型锭子的锭端振幅无显著影响。认为:在高速运转时,带夹纱器的双弹性锭子的振动性能优于对应的单弹性锭子。

复合表面织构对锭子振动性能的影响研究

为提高锭子振动性能,在锭子的高速旋转表面用激光微加工出具有减阻作用的仿贝壳状、仿鲨鱼皮状、仿黄缘真龙虱状复合表面织构,对比分析了相同条件下双弹性锭子和单弹性锭子增加复合表面织构前后的振动性能。结果表明:增加仿鲨鱼皮状复合表面织构后,双弹性和单弹性锭子的振动性能略有提升;增加仿贝壳状和中尺寸仿黄缘真龙虱状复合表面织构后,双弹性锭子振幅较小且不受临界转速影响,其可在任意转速下工作;而增加大尺寸和小尺寸仿黄缘真龙虱状复合表面织构的双弹性和单弹性锭子在高速时振动性能明显提升。

首发老年抑郁症病人睡眠纺缍波与抑郁、焦虑和认知功能的关系

目的 分析首发老年抑郁症病人睡眠纺缍波(sleep spindle, SS)与抑郁、焦虑和认知功能的关系。方法 回顾性选取本院2021年1月至2022年1月接诊的40例首发老年抑郁症病人为老年组,40例青中年抑郁症病人为青中年组,40例老年健康体检者为健康组,比较3组SS缺失率、异常率、汉密尔顿焦虑量表(HAMA)评分、汉密尔顿抑郁量表(HAMD)-17评分、MoCA评分的差异。分析不同性别、不同认知功能亚组SS缺失率、异常率。结果 老年组SS缺失率(57.50%)、异常率(62.50%)均高于青中年组(32.50%、2.50%)和健康组(35.00%、2.50%)(P<0.05)。老年组HAMA评分、HAMD-17评分与青中年组比较差异无统计学意义(P>0.05);老年组、青中年组HAMA评分、HAMD-17评分均高于健康组(P<0.05)。老年组MoCA评分均低于青中年组和健康组(P<0.05),青中年组MoCA评分低于健康组(P<0.05)。老年组不同性别病人SS缺失率比较差异无统计学意义(P>0.05);青中年组女性病人SS缺失率显著低于中青年男性和老年女性病人(P<0.05)。老年组中认知功能障碍亚组SS缺失率、异常率高于无认知功能障碍亚组(P<0.05)。结论 首发老年抑郁症病人SS缺失率、异常率相对较高,SS与认知功能存在一定的关系。

形态动力学联合减数分裂纺锤体观测在卵裂期胚胎筛选中的应用

目的利用胚胎形态动力学联合卵母细胞减数分裂纺锤体(MS)观测,探索预测胚胎发育潜能的卵裂期胚胎筛选方法。方法回顾性分析2020年8月至2022年6月在苏州市立医院生殖与遗传中心行卵胞浆内单精子注射(ICSI),同时行卵母细胞MS观测和胚胎实时观测培养的46个周期患者的临床资料。根据卵母细胞MS形态、胚胎是否存在异常分裂方式,以及胚胎形态学差异对卵母细胞及卵裂期胚胎进行分类研究,分析胚胎形态动力学参数及MS形态预测胚胎发育潜能的价值,建立预测囊胚形成的早期胚胎分层筛选模型,并利用受试者工作特征(ROC)曲线探讨该模型的预测价值。结果MS正常组的囊胚形成率显著高于MS异常组(63.6%vs.46.9%,P<0.05);直接分裂(DC)1组的囊胚形成率显著低于DC2组和无DC组(5.0%vs.46.7%、63.9%,P<0.05);D3形态学优质胚胎的囊胚形成率显著高于D3形态学非优质胚胎(79.4%vs.24.6%,P<0.05)。采用多元Logistic回归分析发现,在D3形态学优质胚胎中,3细胞到5细胞的发育时间(cc3)、5细胞到8细胞的发育时间(s3)和MS形态对囊胚形成有预测价值(P<0.05);在D3形态学非优质胚胎中,卵裂球数目对囊胚形成有预测价值(P<0.05)。以此建立了D3胚胎分层筛选模型,共11级(A~K级),A级最优,K级最劣。该筛选模型对囊胚形成的ROC曲线显示,曲线下面积为0.857[95%CI(0.816,0.899),P=0.000]。结论采用胚胎形态动力学参数联合MS形态分析建立的D3胚胎分层筛选模型,对胚胎发育潜能具有较好的预测能力。

非典型梭形细胞脂肪瘤样肿瘤8例临床病理特征

目的 探讨非典型梭形细胞脂肪瘤样肿瘤(atypical spindle cell lipomatous tumour, ASLT)的临床病理学特征。方法 回顾性分析8例ASLT的临床病理、免疫表型及分子特征,采用免疫组化EnVision两步法和FISH对8例ASLT进行检测,并复习相关文献。结果 8例均可见不同比例的梭形细胞、脂肪细胞混杂分布,细胞无或轻度异型,无坏死。免疫表型:8例肿瘤细胞CD34、S-100不同程度阳性,RB均表达缺失,MDM2、CDK4阴性或灶阳性,Ki67增殖指数低。FISH检测示6例MDM2无扩增。结论 ASLT是新近命名的良性脂肪源性肿瘤亚型,具有独特的形态学、免疫表型及分子特征,预后好,正确诊断可避免临床过度治疗。

基于传递矩阵法的指向式旋转导向工具主轴振动特性

指向式旋转导向工具应用于井眼轨迹控制时,其主轴的动力学特性将直接影响到井眼轨迹控制效果及作业安全,而在钻进工况下,工具钻压传递机构在主轴上的位置对主轴的动力学特性起着重要的作用。因此,为了分析钻压传递机构的位置对主轴动力学特性的影响,利用多体系统传递矩阵法建立了指向式旋转导向工具外壳-轴承-主轴系统的动力学模型。通过推导主轴上任意节点的几何和力学方程,该研究能够评估钻压传递机构的位置对主轴动态性能的影响规律。结合实例运算分析了钻压传递机构的安装位置对主轴固有频率和振型的影响,探讨了工具造斜时,钻压传递机构安装位置对主轴动态位移的影响。结果表明,随着钻压传递机构安装位置距离钻头越远,主轴固有频率和动态位移均增大,因此在满足工作要求下,推荐钻压传递机构安装位置尽可能靠近钻头端。为验证基于传递矩阵法建立的主轴动力学模型的正确性以及钻压传递装置安装位置对主轴动态位移影响规律,在指向式旋转导向工具试验台架上进行了钻进工况下主轴测点偏移量测试试验,结果表明,试验测得的数据与理论计算的数据基本吻合,误差最大仅为6.47%。

数控机床电动主轴WPD-TSNE-SVM模型故障诊断

为了提高数控机床电动主轴故障诊断效率,设计了一种WPD-TSNE-SVM组合模型。利用小波包方法分解主轴振动信号,并完成样本集TSNE降维的过程,利用SVM完成重构特征的故障分类。构建数控机床主轴信号混合特征空间向量,并进行故障诊断分析。研究结果表明:TSNE方法训练样数据形成规律分布特点,采用非线性SVM多故障分类器实现小波包混合特征的故障准确分类。根据径向基核函数建立的非线性SVM诊断方法获得更高准确率。该方法诊断轴承运行故障,获得更高维护效率,确保数控机床主轴运行稳定性。

基于改进遗传算法的细纱接头路径指引方法

为了提高细纱车间整体断头的接头效率,在细纱单锭监测系统响应到细纱断头信息的条件下,建立以整体车间断头接头路径最优化为目标函数的细纱接头路径指引模型,并运用Python编程语言分别实现对贪心算法、遗传算法和改进遗传算法接头路径模型的求解,结合传统巡回式接头路径与3种算法在效率、运行速度和解的质量上的仿真测试,对比验证改进遗传算法用于细纱接头路径指引方法的可行性。试验结果表明:相较于传统巡回式路径,改进遗传算法平均效率提升了11.8%,且解均优于其他两种算法;相较于遗传算法,改进遗传算法的响应时间缩短较多,平均为1.25 s,且波动较小,时间效率提升了80.3%。认为:改进遗传算法在效率、运行速度和解的质量上都优于其他算法,在细纱接头领域具有较高的应用优势,能够显著提高接头效率和降低成本。

ITMA ASIA+CITME2022上新一代信息技术应用浅析

探讨ITMA ASIA+CITME2022上众多新一代信息技术的应用情况。从车间物流数字孪生、原棉精细化管理、细纱机单锭监测、设备远程运维等不同角度,梳理了展会上新一代信息技术应用场景及解决方案。指出:纺机企业研发方向主要面向高效节能、高附加值纺织品的数字化、自动化和智能化生产与质量管控;新一代信息技术使得纺织产业数字化升级更加快速和高效,纺织生产整体智能化水平明显提升;基于工业互联网的纺织产业新生态正在加快形成。认为:新一代信息技术与纺织产业的融合应用,推动了产品研发、制造、服务等环节的协同创新,助力企业实现提质增效与高质量发展的战略目标。

面向切削力修正的机床主轴回转精度预测实验分析

为了提高机床控制精度,设计一种可以精确预测面向切削力修正的主轴回转精度分析方法。为验证回转精度预测准确性,建立一套不需要通过标准球实现的主轴回转精度分析系统,可以针对具体切削工况开展主轴回转精度测试。研究结果表明:随着进给速率和切削深度改变,形成了具有规律性的同步误差,切深受到同步误差因素的影响程度最大,而进给速度次之。受切削载荷影响,主轴回转精度显著改变,同步误差和切削载荷具有正相关关系。在变进给及变切宽条件下,测试结果与仿真结果相近,最大误差为0.2μm。设定切宽12 mm与进给速度1200 mm/min时,分离得到的圆度误差与100 r/min空转时圆度误差相比相吻合。

喷嘴位置对轴承腔内油气润滑两相流的影响

基于气液两相流理论,采用多重坐标系法构建角接触球轴承数值计算模型,分析不同喷嘴位置和转速下轴承腔内油相体积分数、保持架表面及轴承内外圈的油气分布特性。结果表明:在轴承低转速下,正面供油时轴承腔内油相体积分数及其周向分布的波动大于背面供油;正面供油时保持架下表面会产生润滑油的积聚,造成润滑油无法及时通过出口排出,而背面供油时润滑油在保持架表面的油相分布更均匀;正面供油时内圈左面油相体积分数较高,外圈油相分布变化较大,而背面供油时内圈右面、中间面及外圈中间面油相体积分数较高。不同转速下喷嘴位置对腔内油相分布的影响也不同,低转速下正面供油时腔内油相体积分数更高,高转速下喷嘴位置对轴承腔内油相分布的影响较小,润滑油在轴承腔内分布较为均匀,保持架下侧未见明显的润滑油积聚。

基于阿贝原则的机床主轴误差测量研究

机床测量是误差补偿的前提,分析主轴箱移动时产生的阿贝误差原因,给出主轴箱沿Z轴移动时X方向和Y方向的直线度误差,根据主轴箱直线度误差数据进行建模并给予补偿,结合具体的工程实例验证了阿贝误差补偿的有效性。