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Analysis of DNA Methylation in Gliomas: Assessment of Preanalytical Variables 胶质瘤 DNA 甲基化分析:分析前变量评估
IF 5.1 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2024-10-18 DOI: 10.1016/j.labinv.2024.102160
Karol Bomsztyk , Daniel Mar , Oleg Denisenko , Suzanne Powell , Monika Vishnoi , Zheng Yin , Jennifer Delegard , Caroline Hadley , Nitin Tandon , Akash J. Patel , Anoop P. Patel , Richard G. Ellenbogen , Rohan Ramakrishna , Robert C. Rostomily
Precision oncology is driven by biomarkers. For glioblastoma multiforme (GBM), the most common malignant adult primary brain tumor, O6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation is an important prognostic and treatment clinical biomarker. Time-consuming preanalytical steps such as biospecimen storage, fixation, sampling, and processing are sources of data irreproducibility, and all these preanalytical variables are confounded by intratumor heterogeneity of MGMT promoter methylation. To assess the effect of preanalytical variables on GBM DNA methylation, tissue storage/sampling (CryoGrid), sample preparation multisonicator (PIXUL), and 5-methylcytosine DNA immunoprecipitation (Matrix-MeDIP-qPCR/seq) platforms were used. MGMT promoter methylation status assayed by MeDIP-qPCR was validated with methylation-specific polymerase chain reaction. MGMT promoter methylation levels in frozen and formalin-fixed paraffin-embedded sample pairs were not statistically different, confirming the reliability of formalin-fixed paraffin-embedded for MGMT promoter methylation analysis. Warm ex vivo ischemia (up to 4 hours at 37 °C) and 3 cycles of repeated sample thawing and freezing did not statistically impact 5-methylcytosine at MGMT promoter, exon, and enhancer regions, indicating the resistance of DNA methylation to common variations in sample processing conditions that might be encountered in research and clinical settings. Twenty-six percent to 34% of specimens exhibited intratumor heterogeneity in the MGMT DNA promoter methylation. These data demonstrate that variations in sample fixation, ischemia duration and temperature, and DNA methylation assay technique do not have a statistically significant impact on MGMT promoter methylation assessment. However, intratumor methylation heterogeneity underscores the value of multiple biopsies at different GBM geographic tumor sites in the evaluation of MGMT promoter methylation status. Matrix-MeDIP-seq analysis revealed that MGMT promoter methylation status clustered with other differentially methylated genomic loci (eg, HOXA and lncRNAs) that are resilient to variation in the above preanalytical conditions. These observations offer new opportunities to develop more granular data-based epigenetic GBM biomarkers. In this regard, the high-throughput CryoGrid-PIXUL-Matrix toolbox could be useful.
精准肿瘤学由生物标记物驱动。多形性胶质母细胞瘤(GBM)是最常见的恶性成人原发性脑肿瘤,O6-甲基鸟嘌呤-DNA 甲基转移酶(MGMT)基因启动子甲基化是重要的预后和治疗临床生物标志物。生物样本的储存、固定、取样和处理等分析前步骤耗时较长,是造成数据不可重复的原因,而且所有这些分析前变量都会受到肿瘤内 MGMT 启动子甲基化异质性的影响。为了评估分析前变量对 GBM DNA 甲基化的影响,研究人员使用了组织储存/取样(CryoGrid)、样本制备多功能超声仪(PIXUL)和 5-甲基胞嘧啶(5mC)DNA 免疫沉淀(Matrix MeDIP-qPCR/seq)平台。通过甲基化特异性 PCR(MS-PCR)对 MeDIP-qPCR 检测的 MGMT 启动子甲基化状态进行了验证。冷冻样本对和福尔马林固定石蜡包埋样本对的 MGMT 启动子甲基化水平没有统计学差异,这证实了用福尔马林固定石蜡包埋样本对进行 MGMT 启动子甲基化分析的可靠性。温暖的体外缺血(37oC 下长达 4 小时)和 3 次重复样本解冻和冷冻不会对 MGMT 启动子、外显子和增强子区域的 5mC 产生统计学影响,这表明 DNA 甲基化不受研究和临床环境中可能遇到的样本处理条件常见变化的影响。26%-34%的标本显示出肿瘤内 MGMT DNA 启动子甲基化的异质性。这些数据表明,样本固定、缺血持续时间和温度以及 DNA 甲基化检测技术的变化对 MGMT 启动子甲基化评估没有显著的统计学影响。然而,肿瘤内甲基化的异质性强调了在评估 MGMT 启动子甲基化状态时在不同 GBM 地理肿瘤部位进行多次活检的价值。矩阵-MeDIP-seq分析显示,MGMT启动子甲基化状态与其他不同的甲基化基因组位点(如HOXA和lncRNAs)聚集在一起,而这些位点对上述分析前条件的变化具有弹性。这些观察结果为开发基于更精细数据的表观遗传 GBM 生物标记物提供了新的机遇。在这方面,高通量 CryoGrid-PIXUL-Matrix 工具箱可能会有所帮助。
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引用次数: 0
Immunoproteomics Reveal Different Characteristics for the Prognostic Markers of Intratumoral-Infiltrating CD3+ T Lymphocytes and Immunoscore in Colorectal Cancer 免疫蛋白组学揭示了结直肠癌瘤内浸润 CD3+ T 淋巴细胞和免疫镜检的预后标志物的不同特征。
IF 5.1 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2024-10-16 DOI: 10.1016/j.labinv.2024.102159
Saiyan Ji , Huanying Fang , Jingjie Guan , Kun He , Qingyuan Yang
Tumor-infiltrating lymphocytes (TILs) and immunoscoring based on densities of CD3+ and CD8+ TILs are both favorable prognostic markers in colorectal cancer (CRC). However, determination of the molecular features of TILs, particularly their immunoproteomic signatures would require the development of large scale in situ spatiotemporal technologies. Recently, a multiplex in situ digital spatial proteomic profiling (DSP) tool GeoMx DSP has been applied to identify biomarkers predictive of therapeutic responses and to understand disease mechanisms and progression. Taking advantage of this tool, we simultaneously characterized the spatial distribution and interactions of 42 immune proteins in tumor cells (TCs), CD3+ T stromal TILs (sTILs), and CD20+ B sTILs using tissue microarrays, and further studied their associations with CD3+ T TILs and immunoscores in CRC. First, our data showed that well-known immune checkpoints, such as PD-L1, PD-L2, and LAG3, were expressed at low levels, whereas some other immune proteins, such as CD11c, CD68, STING, and CD44, were highly expressed. Second, 8 spatial interactions were identified, including 5 interactions between TC and CD20+ B sTILs, 2 interactions between CD3+ T sTILs and CD20+ B sTILs, and 1 interaction among TC, CD3+ T sTILs, and CD20+ B sTILs. Third, the differential immune microlandscape in the spatial compartments was identified in tissues with positive CD3+ T intratumoral TILs and high immunoscores. Collectively, to our knowledge, our study is the first to provide in situ spatial immune characteristics at the proteomic level. Moreover, our findings provide direct evidence supporting the infiltration of CD3+ T sTILs from stoma to TC and shed important insights into better understanding and treating CRC patients related to different immune prognostic markers.
肿瘤浸润淋巴细胞(TILs)和基于 CD3+ 和 CD8+ TILs 密度的免疫镜检都是结直肠癌(CRC)的有利预后指标。然而,要确定TILs的分子特征,特别是其免疫蛋白组学特征,需要开发大规模的原位时空技术。最近,一种多重原位数字空间蛋白质组剖析(DSP)工具GeoMx DSP已被应用于确定预测治疗反应的生物标记物,并了解疾病的机制和进展。利用这一工具,我们使用组织芯片同时鉴定了肿瘤细胞(TC)、CD3+ T基质TILs(sTILs)和CD20+ B sTILs中42种免疫蛋白的空间分布和相互作用,并进一步研究了它们与CRC中CD3+ T TILs和免疫标志物的关联。首先,我们的数据显示,PD-L1、PD-L2 和 LAG3 等知名免疫检查点的表达水平较低,而 CD11c、CD68、STING 和 CD44 等其他免疫蛋白的表达水平较高。第二,发现了八种空间相互作用,包括五种 TC 与 CD20+ B sTILs 之间的相互作用,两种 CD3+ T sTILs 与 CD20+ B sTILs 之间的相互作用,以及一种 TC、CD3+ T sTILs 和 CD20+ B sTILs 之间的相互作用。第三,在瘤内 CD3+ T TILs 阳性且免疫分数较高的组织中发现了空间分区中不同的免疫微景观。总之,我们的研究首次在蛋白质组水平上提供了原位空间免疫特征。此外,我们的研究结果为 CD3+ T sTILs 从造口向 TC 的浸润提供了直接证据,并为更好地理解和治疗与不同免疫预后标志物相关的 CRC 患者提供了重要启示。
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引用次数: 0
Liquid Biopsy in Lung Cancer: Nano–Flow Cytometry Detection of Non–Small Cell Lung Cancer in Blood 肺癌液体活检:纳米流式细胞术检测血液中的非小细胞肺癌。
IF 5.1 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2024-10-16 DOI: 10.1016/j.labinv.2024.102151
Andong Zhang , Qiqi Gao , Chen Tian , Wentao Chen , Catherine Pan , Ling Wang , Jie Huang , Jing Zhang
Non–small cell lung cancer (NSCLC) remains a leading cause of global mortality, with current screening and diagnostic methods often lacking in sensitivity and specificity. In our endeavor to develop precise, objective, and easily accessible diagnostic biomarkers for NSCLC, this study aimed to leverage rapidly evolving liquid biopsy techniques in the field of pathology to differentiate NSCLC patients from healthy controls by isolating peripheral blood samples and enriching extracellular vesicles (EVs) containing lung-derived proteins (thyroid transcription factor-1 [TTF-1] and surfactant protein B [SFTPB]), along with the cancer-associated protein CD151+ EVs. Additionally, for practical applications, we established a nano–flow cytometry assay to detect plasma EVs readily. NSCLC patients demonstrated significantly reduced counts of TTF-1+ EVs and CD151+ EVs in plasma compared with healthy controls (P < .0001), whereas SFTPB+ EVs showed no significant difference (P > .05). Integrated analysis of TTF-1+, CD151+, and SFTPB+ EVs yielded an area under the curve values of 0.913 and 0.854 in the discovery and validation cohorts, respectively. Thus, although further validation is essential, the newly developed technologies are of great significance for the robust detection of NSCLC biomarkers.
非小细胞肺癌(NSCLC)仍然是导致全球死亡的主要原因,而目前的筛查和诊断方法往往缺乏敏感性和特异性。为了开发精确、客观、易于获得的 NSCLC 诊断生物标志物,本研究旨在利用病理学领域快速发展的液体活检技术,通过分离外周血样本,富集含有肺源性蛋白(TTF-1 和 SFTPB)的细胞外囊泡(EVs)以及癌症相关蛋白 CD151+ EVs,将 NSCLC 患者与健康对照组区分开来。此外,在实际应用中,我们还建立了一种纳米流式细胞术检测方法,可随时检测血浆中的EVs。与健康对照组相比,NSCLC 患者血浆中 TTF-1+ EVs 和 CD151+ EVs 的数量明显减少(P+ EVs 无显著差异(P>0.05))。对TTF-1+、CD151+和SFTPB+ EVs进行综合分析后,发现组和验证组的曲线下面积(AUC)值分别为0.913和0.854。因此,虽然进一步的验证至关重要,但新开发的技术对NSCLC生物标记物的稳健检测意义重大。
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引用次数: 0
Peptidomics and Machine Learning–based Evaluation of Noncoding RNA–Derived Micropeptides in Breast Cancer: Expression Patterns and Functional/Therapeutic Insights 基于肽组学和机器学习的乳腺癌 ncRNA 衍生微肽评估:表达模式和功能/治疗见解。
IF 5.1 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2024-10-10 DOI: 10.1016/j.labinv.2024.102150
Alexandre Luiz Korte de Azevedo , Talita Helen Bombardelli Gomig , Michel Batista , Jaqueline Carvalho de Oliveira , Iglenir João Cavalli , Daniela Fiori Gradia , Enilze Maria de Souza Fonseca Ribeiro
Breast cancer is a highly heterogeneous disease characterized by different subtypes arising from molecular alterations that give the disease different phenotypes, clinical behaviors, and prognostic. The noncoding RNA (ncRNA)–derived micropeptides (MPs) represent a novel layer of complexity in cancer study once they can be biologically active and can present potential as biomarkers and also in therapeutics. However, few large-scale studies address the expression of these peptides at the peptidomics level or evaluate their functions and potential in peptide-based therapeutics for breast cancer. In this study, we propose deepening the landscape of ncRNA-derived MPs in breast cancer subtypes and advance the comprehension of the relevance of these molecules to the disease. First, we constructed a 16,349 unique putative MP sequence data set by integrating 2 previously published lists of predicted ncRNA-derived MPs. We evaluated its expression on high-throughput mass spectrometry data of breast tumor samples from different subtypes. Next, we applied several machine and deep learning tools, such as AntiCP 2.0, MULocDeep, PEPstrMOD, Peptipedia, and PreAIP, to predict its functions, cellular localization, tertiary structure, physicochemical features, and other properties related to therapeutics. We identified 58 peptides expressed on breast tissue, including 27 differentially expressed MPs in tumor compared with nontumor samples and MPs exhibiting tumor or subtype specificity. These peptides presented physicochemical features compatible with the canonical proteome and were predicted to influence the tumor immune environment and participate in cell communication, metabolism, and signaling processes. In addition, some MPs presented potential as anticancer, antiinflammatory, and antiangiogenic molecules. Our data demonstrate that MPs derived from ncRNAs have expression patterns associated with specific breast cancer subtypes and tumor specificity, thus highlighting their potential as biomarkers for molecular classification. We also reinforce the relevance of MPs as biologically active molecules that play a role in breast tumorigenesis, besides their potential in peptide-based therapeutics.
乳腺癌是一种高度异质性的疾病,其特点是由于分子改变而产生不同的亚型,从而使疾病具有不同的表型、临床表现和预后。ncRNA 衍生的微肽(MPs)一旦具有生物活性,就代表了癌症研究中的一层新的复杂性,具有作为生物标志物和治疗药物的潜力。然而,很少有大规模研究在肽组学水平上研究这些肽的表达,或评估它们在乳腺癌肽类治疗中的功能和潜力。在本研究中,我们提出了深化乳腺癌亚型中 ncRNA 衍生 MPs 的图谱,并推进对这些分子与疾病相关性的理解。首先,我们整合了之前发表的两份预测 ncRNA 衍生 MPs 列表,构建了 16,349 个独特的推测 MP 序列数据集。我们对不同亚型乳腺肿瘤样本的高通量质谱数据进行了表达评估。接下来,我们应用了几种机器学习和深度学习工具,如 AntiCP 2.0、MULocDeep、PEPstrMOD、Peptipedia 和 PreAIP,来预测其功能、细胞定位、三级结构、理化特征以及与治疗相关的其他特性。我们发现了 58 种在乳腺组织中表达的多肽,其中包括 27 种在肿瘤样本与非肿瘤样本中表达不同的多肽,以及表现出肿瘤或亚型特异性的多肽。这些多肽的理化特征与典型蛋白质组相一致,预计会影响肿瘤免疫环境,并参与细胞通讯、新陈代谢和信号转导过程。此外,一些 MPs 还具有抗癌、抗炎和抗血管生成分子的潜力。我们的数据表明,源自 ncRNA 的 MPs 具有与特定乳腺癌亚型和肿瘤特异性相关的表达模式,因此凸显了它们作为分子分类生物标志物的潜力。我们还进一步证实了 MPs 作为生物活性分子在乳腺肿瘤发生中的作用,以及它们在基于肽的疗法中的潜力。
{"title":"Peptidomics and Machine Learning–based Evaluation of Noncoding RNA–Derived Micropeptides in Breast Cancer: Expression Patterns and Functional/Therapeutic Insights","authors":"Alexandre Luiz Korte de Azevedo ,&nbsp;Talita Helen Bombardelli Gomig ,&nbsp;Michel Batista ,&nbsp;Jaqueline Carvalho de Oliveira ,&nbsp;Iglenir João Cavalli ,&nbsp;Daniela Fiori Gradia ,&nbsp;Enilze Maria de Souza Fonseca Ribeiro","doi":"10.1016/j.labinv.2024.102150","DOIUrl":"10.1016/j.labinv.2024.102150","url":null,"abstract":"<div><div>Breast cancer is a highly heterogeneous disease characterized by different subtypes arising from molecular alterations that give the disease different phenotypes, clinical behaviors, and prognostic. The noncoding RNA (ncRNA)–derived micropeptides (MPs) represent a novel layer of complexity in cancer study once they can be biologically active and can present potential as biomarkers and also in therapeutics. However, few large-scale studies address the expression of these peptides at the peptidomics level or evaluate their functions and potential in peptide-based therapeutics for breast cancer. In this study, we propose deepening the landscape of ncRNA-derived MPs in breast cancer subtypes and advance the comprehension of the relevance of these molecules to the disease. First, we constructed a 16,349 unique putative MP sequence data set by integrating 2 previously published lists of predicted ncRNA-derived MPs. We evaluated its expression on high-throughput mass spectrometry data of breast tumor samples from different subtypes. Next, we applied several machine and deep learning tools, such as AntiCP 2.0, MULocDeep, PEPstrMOD, Peptipedia, and PreAIP, to predict its functions, cellular localization, tertiary structure, physicochemical features, and other properties related to therapeutics. We identified 58 peptides expressed on breast tissue, including 27 differentially expressed MPs in tumor compared with nontumor samples and MPs exhibiting tumor or subtype specificity. These peptides presented physicochemical features compatible with the canonical proteome and were predicted to influence the tumor immune environment and participate in cell communication, metabolism, and signaling processes. In addition, some MPs presented potential as anticancer, antiinflammatory, and antiangiogenic molecules. Our data demonstrate that MPs derived from ncRNAs have expression patterns associated with specific breast cancer subtypes and tumor specificity, thus highlighting their potential as biomarkers for molecular classification. We also reinforce the relevance of MPs as biologically active molecules that play a role in breast tumorigenesis, besides their potential in peptide-based therapeutics.</div></div>","PeriodicalId":17930,"journal":{"name":"Laboratory Investigation","volume":"104 12","pages":"Article 102150"},"PeriodicalIF":5.1,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142406582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Assessing the Tumor Immune Landscape Across Multiple Spatial Scales to Differentiate Immunotherapy Response in Metastatic Non-Small Cell Lung Cancer 跨多个空间尺度评估肿瘤免疫景观,以区分转移性非小细胞肺癌的免疫疗法反应。
IF 5.1 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2024-10-09 DOI: 10.1016/j.labinv.2024.102148
Ashley P. Tsang , Santhoshi N. Krishnan , Joel N. Eliason , Jake J. McGue , Angel Qin , Timothy L. Frankel , Arvind Rao
Although immune checkpoint inhibitor-based therapy has shown promising results in non-small cell lung cancer patients with high programmed death-ligand 1 expression, not all patients respond to therapy. The tumor microenvironment (TME) is complex and heterogeneous, making it challenging to understand the key agents and features that influence response to therapies. In this study, we leverage multiplex fluorescent immunohistochemistry to quantitatively assess interactions between tumor and immune cells in an effort to identify patterns occurring at multiple spatial levels of the TME. To do so, we introduce several computational methods novel to a data set of 1,269 multiplex fluorescent immunohistochemistry images from a cohort of 52 patients with metastatic non-small cell lung cancer. With the spatial G-cross function, we quantify the degree of cell interaction at an entire image level, where we see significantly increased activity of cytotoxic T cells and helper T cells with epithelial tumor cells in responders to immune checkpoint inhibitor-based (P = .022 and P < .001, respectively) and decreased activity of T-regulatory cells with epithelial tumor cells compared with nonresponders (P = .010). By leveraging spatial overlap methods, we define tumor subregions (which we call the tumor “periphery,” “edge.” and “center”) and discover more localized immune-immune interactions influencing positive response, including those between cytotoxic T cells and helper T cells with antigen presenting cells in these subregions specifically. Finally, we trained an interpretable deep learning model that identified key cellular regions of interest that most influenced response classification (area under the curve = 0.71 ± 0.02). Assessing spatial interactions within these subregions further revealed new insights that were not significant at the whole image level, particularly the elevated association of antigen presenting cells and T-regulatory cells with one another in responder groups (P = .024). Altogether, we demonstrate that elucidating patterns of cell composition and interplay across multiple levels of spatial analyses can improve our understanding of the TME and better differentiate patient responses to immunotherapy.
基于免疫检查点抑制剂(ICI)的疗法已在程序性死亡配体1(PD-L1)高表达的非小细胞肺癌(NSCLC)患者中显示出良好的疗效,但并非所有患者都对疗法有反应。肿瘤微环境(TME)具有复杂性和异质性,因此了解影响治疗反应的关键药物和特征具有挑战性。在本研究中,我们利用多重荧光免疫组化技术(mfIHC)来定量评估肿瘤和免疫细胞之间的相互作用,从而找出肿瘤微环境在多个空间水平上发生的模式。为此,我们针对 52 名转移性 NSCLC 患者的 1269 张 mfIHC 图像数据集引入了几种新颖的计算方法。通过空间 G-cross 功能,我们量化了整个图像层面的细胞相互作用程度,我们发现在 ICI 反应者中,细胞毒性 T 细胞 (CTL) 和辅助性 T 细胞 (HTL) 与上皮肿瘤细胞 (EC) 的活性显著增加(p = .022 和 p < .001,分别为 p = .022 和 p < .001),而与非反应者相比,T 调节细胞 (Treg) 与 EC 的活性降低(p = .010)。通过利用空间重叠方法,我们定义了肿瘤亚区(我们称之为肿瘤 "外围"、"边缘 "和 "中心"),并发现了影响阳性反应的更多局部免疫-免疫相互作用,包括 CTL 和 HTL 与这些亚区的抗原呈递细胞(APC)之间的相互作用。最后,我们训练了一个可解释的深度学习模型,该模型确定了对反应分类影响最大的关键细胞区域(AUC = 0.71±0.02)。评估这些亚区域内的空间相互作用进一步揭示了在整个图像水平上并不显著的新见解,特别是在应答者群体中,APCs 和 Tregs 相互关联度的提高(p = 0.024)。总之,我们证明,通过多层次的空间分析来阐明细胞组成和相互作用的模式,可以提高我们对TME的认识,更好地区分患者对免疫疗法的反应。
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引用次数: 0
Role of the Crosstalk B:Neoplastic T Follicular Helper Cells in the Pathobiology of Nodal T Follicular Helper Cell Lymphomas B:肿瘤性T滤泡辅助细胞(TFH)串联在结节性TFH细胞淋巴瘤病理生物学中的作用。
IF 5.1 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2024-10-09 DOI: 10.1016/j.labinv.2024.102147
Tania P. Sainz , Vishal Sahu , Javier A. Gomez , Nicholas J. Dcunha , Akshay V. Basi , Claudia Kettlun , Iman Sarami , Jared K. Burks , Deepa Sampath , Francisco Vega
Angioimmunoblastic T-cell lymphoma (AITL), the most common form of peripheral T-cell lymphoma, originates from follicular helper T (Tfh) cells and is notably resistant to current treatments. The disease progression and maintenance, at least in early stages, are driven by a complex interplay between neoplastic Tfh and clusters of B-cells within the tumor microenvironment, mirroring the functional crosstalk observed inside germinal centers. This interaction is further complicated by recurrent mutations, such as TET2 and DNMT3A, which are present in both Tfh cells and B-cells. These findings suggest that the symbiotic relationship between these 2 cell types could represent a therapeutic vulnerability. This review examines the key components and signaling mechanisms involved in the synapses between B-cells and Tfh cells, emphasizing their significant role in the pathobiology of AITL and potential as therapeutic targets.
血管免疫母细胞T细胞淋巴瘤(AITL)是外周T细胞淋巴瘤中最常见的一种,起源于滤泡辅助T细胞(Tfh),对目前的治疗具有明显的抗药性。至少在早期阶段,疾病的发展和维持是由肿瘤微环境中的肿瘤Tfh和B细胞群之间复杂的相互作用所驱动的,这反映了在生殖中心内观察到的功能性串扰。Tfh细胞和B细胞都存在的TET2和DNMT3A等复发性突变使这种相互作用变得更加复杂。这些发现表明,这两种细胞类型之间的共生关系可能代表着一种治疗漏洞。本综述探讨了 B 细胞和 Tfh 细胞之间突触所涉及的关键成分和信号转导机制,强调了它们在 AITL 病理生物学中的重要作用以及作为治疗靶点的潜力。
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引用次数: 0
Enhancing Biomarker Detection in Cancer: A Comparative Analysis of Preanalytical Reverse Transcription Enzymes for Liquid Biopsy Application 加强癌症生物标记物检测:用于液体活检的分析前逆转录酶的比较分析。
IF 5.1 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2024-10-01 DOI: 10.1016/j.labinv.2024.102142
Neele Wüstmann , Verena Humberg , Julia Vieler , Konstantin Seitzer , Sabine von Rüden , Mazen A. Juratli , Andreas Pascher , Marcel Kemper , Annalen Bleckmann , André Franken , Hans Neubauer , Tanja N. Fehm , Martin Bögemann , Katrin Schlack , Andres Jan Schrader , Christof Bernemann
Circulating tumor cells and liquid biopsy-based biomarkers might one day play a crucial role in the treatment decision process for patients of several cancer entities. However, clinical studies on liquid biopsy approaches revealed distinct detection rates and thus, different risk scoring for patients. This study delves into the comparison of 2 utilized reverse transcription enzymes, namely, SuperScript IV VILO (VILO) and Sensiscript (SS), aiming to understand their impact on biomarker detection rates. Prostate cancer cell lines were used to assess detection limits, followed by an investigation of biomarker status in clinical liquid biopsy samples of distinct tumor entities. Our findings highlight the superior reverse transcription efficacy of VILO over SS, commonly used in studies employing the AdnaTest platform. The enhanced efficacy of VILO results in a significantly higher number of patients positive for biomarkers. Clinically, the use of a less-sensitive enzyme system may lead to the misclassification of genuinely biomarker-positive patients, potentially altering their prognosis due to inadequate clinical monitoring or inappropriate treatment strategies.
循环肿瘤细胞和基于液体活检的生物标记物有一天可能会在多种癌症患者的治疗决策过程中发挥关键作用。然而,有关液体活检方法的临床研究显示,它们的检出率不同,因此对患者的风险评分也不同。本研究深入比较了两种常用的反转录(RT)酶,即 SuperScript™ IV VILO™ (VILO) 和 Sensiscript (SS),旨在了解它们对生物标记物检测率的影响。我们使用前列腺癌细胞系来评估检测限,然后对不同肿瘤实体的临床液体活检样本中的生物标记物状态进行调查。我们的研究结果表明,VILO 的反转录功效优于 AdnaTest 平台研究中常用的 SS。VILO 的功效增强后,生物标记物呈阳性的患者人数明显增加。在临床上,使用灵敏度较低的酶系统可能会导致真正的生物标记物阳性患者被误诊,从而可能因临床监测不足或治疗策略不当而改变患者的预后。
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引用次数: 0
Impact of Keratins 8 and 18 Genetic Variants on the Severity of Alcoholic Liver Disease 角蛋白 8 和 18 基因变异对酒精性肝病严重程度的影响。
IF 5.1 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2024-10-01 DOI: 10.1016/j.labinv.2024.102133
Matthieu Tihy , Nathalie Lin-Marq , Thierry Berney , Laurent Spahr , Laura Rubbia-Brandt , Laure Elkrief
Alcohol-related liver disease (ALD) affects ∼30% of heavy drinkers and is characterized by liver steatosis, fibrosis, and steatohepatitis. The aggregation of keratins 8 (KRT8) and 18 (KRT18) plays a key role in the formation of Mallory–Denk bodies, a hallmark of ALD. Circulating levels of KRT18 fragments are elevated during ALD, and several KRT8/18 genetic variants have been linked to an increased risk of liver disease. In this study, we explored the relationship between the histologic features of ALD and genetic variants of KRT8/18 in 106 severe patients with ALD from the Hôpitaux Universitaires de Genève. We found a significant over-representation of several KRT8 (rs2070910, rs137898974, rs1065306) and KRT18 (rs17120866, rs1492241) variants located in the noncoding regions of these genes. Increased circulating level of keratins 18 fragments were associated with rs17120866 and alcoholic hepatitis. The combination of several KRT18 variants appeared associated with a poorer prognosis. These results highlight the possible role of KRT18 variants in ALD.
酒精相关肝病(ALD)影响着大约 30% 的重度饮酒者,其特征是肝脏脂肪变性、纤维化和脂肪性肝炎。角蛋白 8(KRT8)和 18(KRT18)的聚集在马洛里-登克体的形成中起着关键作用,而马洛里-登克体是 ALD 的特征之一。在 ALD 期间,循环中的角蛋白 18 片段水平会升高,而几种 KRT8/18 基因变异与肝病风险的增加有关。在这项研究中,我们以日内瓦大学医院的106名重度ALD患者为研究对象,探讨了ALD的组织学特征与KRT8/18基因变异之间的关系。我们发现,位于 KRT8(rs2070910、rs137898974、rs1065306)和 KRT18(rs17120866、rs1492241)基因非编码区的几个 KRT8(rs2070910、rs137898974、rs1065306)和 KRT18(rs17120866、rs1492241)变体的比例明显偏高。循环中角蛋白 18 片段水平的增加与 rs17120866 和酒精性肝炎有关。多个 KRT18 变异的组合似乎与较差的预后有关。这些结果突显了 KRT18 变体在 ALD 中可能扮演的角色。
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引用次数: 0
The Tree Shrew Model of Parkinson Disease: A Cost-Effective Alternative to Nonhuman Primate Models 帕金森病树鼩模型:替代非人灵长类动物模型的经济有效的方法。
IF 5.1 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2024-09-27 DOI: 10.1016/j.labinv.2024.102145
Hao Li , Leyi Mei , Xiupeng Nie , Liping Wu , Longbao Lv , Xiaofeng Ren , Jitong Yang , Haonan Cao , Jing Wu , Yuhua Zhang , Yingzhou Hu , Wenchao Wang , Christoph W. Turck , Bingyin Shi , Jiali Li , Lin Xu , Xintian Hu
The surge in demand for experimental monkeys has led to a rapid increase in their costs. Consequently, there is a growing need for a cost-effective model of Parkinson disease (PD) that exhibits all core clinical and pathologic phenotypes. Evolutionarily, tree shrews (Tupaia belangeri) are closer to primates in comparison with rodents and could be an ideal species for modeling PD. To develop a tree shrew PD model, we used the 1-methyl-4-phenylpyridinium (MPP+), a metabolite derived from 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine, to induce lesions in dopaminergic neurons of the unilateral substantia nigra. The induced tree shrew model consistently exhibited and maintained all classic clinical manifestations of PD for a 5-month period. The symptoms included bradykinesia, rest tremor, and postural instability, and ∼50% individuals showed apomorphine-induced rotations, a classic phenotype of unilateral PD models. All these are closely resembled the ones observed in PD monkeys. Meanwhile, this model was also sensitive to L-dopa treatment in a dose-dependent manner, which suggested that the motor deficits are dopamine dependent. Immunostaining showed a significant loss of dopaminergic neurons (∼95%) in the lesioned substantia nigra, which is a crucial PD pathological marker. Moreover, a control group of nigral saline injection did not show any motor deficits and pathological changes. Cytomorphologic analysis revealed that the size of nigral dopaminergic neurons in tree shrews is much bigger than that of rodents and is close to that of macaques. The morphologic similarity may be an important structural basis for the manifestation of the highly similar phenotypes between monkey and tree shrew PD models. Collectively, in this study, we have successfully developed a PD model in a small animal species that faithfully recapitulated the classic clinical symptoms and key pathological indicators of PD monkeys, providing a novel and low-cost avenue for evaluation of PD treatments and underlying mechanisms.
对实验猴的需求激增导致其成本迅速增加。因此,人们越来越需要一种能表现出所有核心临床和病理表型的帕金森病(PD)低成本高效益模型。与啮齿类动物相比,树鼩(Tupaia belangeri)在进化过程中更接近灵长类动物,因此可能是建立帕金森病模型的理想物种。为了建立树鼩帕金森病模型,我们使用了1-甲基-4-苯基吡啶鎓(MPP+)(一种来自1-甲基-4-苯基-1,2,3,6-四氢吡啶(MPTP)的代谢物)来诱导单侧黑质多巴胺能神经元的病变。诱导的树鼩模型在5个月的时间里持续表现出并维持了所有典型的帕金森病临床表现。症状包括运动迟缓、静止性震颤、姿势不稳,约50%的个体表现出阿朴吗啡诱导的旋转,这是单侧帕金森病模型的典型表型。所有这些都与在帕金森病猴身上观察到的症状非常相似。同时,该模型对左旋多巴治疗也很敏感,且呈剂量依赖性,这表明运动障碍与多巴胺有关。免疫染色显示,病变的黑质中多巴胺能神经元显著减少(约95%),而多巴胺能神经元是帕金森病的重要病理标志。此外,注射生理盐水的黑质对照组未出现任何运动障碍和病理变化。细胞形态学分析表明,树鼩黑质多巴胺能神经元的大小远大于啮齿类动物,与猕猴接近。形态学上的相似性可能是猴和树鼩帕金森病模型表现出高度相似表型的重要结构基础。总之,在这项研究中,我们成功地在小动物物种中建立了一个帕金森病模型,该模型忠实地再现了帕金森病猴的典型临床症状和关键病理指标,为帕金森病治疗方法和潜在机制的评估提供了一个新颖和低成本的途径。
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引用次数: 0
Lymphocyte Function in Tertiary Lymphoid Structures Predicts Hepatocellular Carcinoma Outcome 三级淋巴结构中的淋巴细胞功能可预测肝细胞癌的预后
IF 5.1 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2024-09-27 DOI: 10.1016/j.labinv.2024.102144
Jieying Li , Haiyan Xu , Jiayi Han , Pingping Sun , Xiaojing Zhang , Hui Wang , Tongyao Bian , Qiang Xu , Juling Ji , Jianfei Huang
An increasing number of studies have revealed a correlation between tertiary lymphoid structures (TLSs) and the outcome of hepatocellular carcinoma (HCC). Nevertheless, the associations between the heterogeneity of cellular composition and the overall survival (OS) in HCC remain unexplored. Here, we evaluated the cancer tissues from 150 HCC individuals using multiplex immunofluorescence to determine the presence and characteristics of TLS and to investigate the relationship between intra-TLS immunologic activity, TLS maturation, and intratumoral immune cell infiltration. Prognostic factors influencing the outcome were identified through both univariate and multivariate analyses. Additionally, the levels of cytotoxic T-lymphocyte antigen-4 (CTLA-4), programmed death 1, programmed death-ligand 1, and lymphocyte activation gene-3 were determined, as well as their relationship with TLS features were determined. TLS was detected in 71 (47.3%) of the 150 HCC cases and was related to higher intratumoral infiltration levels of lymphocytes. Additionally, intra-TLS lymphocyte proliferation correlated with that of intratumoral lymphocytes, and the presence of TLS and a high proportion of mature TLS demonstrated a significant correlation with better prognosis (P = .013 and P = .03, respectively). Among TLS-positive tumors, a high proportion of B cells expressing activation-induced cytidine deaminase and a high proportion of CD8+ T cells expressing CD45RO were significantly related to improved OS (P = .01 and P < .001, respectively). Comparatively, a high proportion of CD21+CD20+ B cells demonstrated a significant correlation with poorer OS (P < .001). A markedly reduced number of CTLA-4+ cells in the stromal regions in TLS-negative tumors was observed compared with TLS-positive tumors (P = .01). These findings reveal a correlation between TLS presence and improved OS in HCC patients. However, TLS exhibited significant variation in maturation state, T- and B-cell proliferation, and expression of markers related to B- and T-cell function. Notably, these characteristics were also found to possess prognostic significance, indicating that certain TLS might hinder tumor immunity by inhibiting immune cells, whereas others may foster antigen-driven immune responses, likely influenced by the composition and functional status of intra-TLS lymphocytes.
越来越多的研究揭示了三级淋巴结构(TLS)与肝细胞癌(HCC)预后之间的相关性。然而,细胞组成的异质性与 HCC 总生存期(OS)之间的关系仍未得到探讨。在此,我们使用多重免疫荧光技术评估了南通大学附属肿瘤医院收治的150例HCC患者的癌组织,以确定TLS的存在和特征,并研究TLS内免疫活性、TLS成熟度和瘤内免疫细胞浸润之间的关系。通过单变量和多变量分析确定了影响预后的因素。此外,还测定了细胞毒性T淋巴细胞抗原-4(CTLA-4)、程序性死亡1(PD-1)、程序性死亡配体1(PD-L1)和淋巴细胞活化基因-3(LAG3)的水平及其与TLS特征的关系。在 150 例 HCC 中,有 71 例(47.3%)检测到 TLS,且与较高的瘤内淋巴细胞浸润水平有关。此外,TLS 内淋巴细胞增殖与瘤内淋巴细胞增殖相关,TLS 的存在和成熟 TLS 的高比例与较好的预后有显著相关性(分别为 p=0.013 和 p=0.03)。在TLS阳性肿瘤中,表达活化诱导胞苷脱氨酶(AID)的B细胞比例高和表达CD45RO的CD8+T细胞比例高与OS改善显著相关(p=0.01),p+CD20+B细胞与较差的OS显著相关(与TLS阳性肿瘤相比,在TLS阴性肿瘤的基质区观察到p+细胞(p=0.01)。这些发现揭示了TLS的存在与HCC患者OS改善之间的相关性。然而,TLS 在成熟状态、T 细胞和 B 细胞增殖以及 B 细胞和 T 细胞功能相关标记物的表达方面表现出明显的差异。值得注意的是,这些特征还具有预后意义,表明某些 TLS 可能会通过抑制免疫细胞来阻碍肿瘤免疫,而其他 TLS 则可能会促进抗原驱动的免疫反应,这可能受到 TLS 内淋巴细胞的组成和功能状态的影响。
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Laboratory Investigation
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