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Prevalence, Immune Checkpoint Expression, and Spatial Interplay of Immune Cells Are Linked to Favorable Tumor Phenotype in 4915 Human Carcinomas 在4915例人类癌症中,患病率、免疫检查点表达和免疫细胞的空间相互作用与有利的肿瘤表型有关。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-01 Epub Date: 2025-10-09 DOI: 10.1016/j.labinv.2025.104248
Zhihao Huang , Tim Mandelkow , Jonas B. Raedler , Elena Bady , Jan H. Müller , Ronald Simon , Eik Vettorazzi , Guido Sauter , Julia Ebner , Niclas C. Blessin
Although there is rising evidence that immune cell subpopulations that are in direct contact with the tumor cells (intraepithelial) can predict response to immune checkpoint therapy and patients’ outcome, a comprehensive assessment of intraepithelial immune cells and their spatial interplay is lacking. To assess intraepithelial leukocyte densities, immune checkpoint expression, and spatial interactions in 43 carcinoma entities, 4915 tumor samples in a tissue microarray format were analyzed using a deep learning framework and BLEACH&STAIN multiplex fluorescence immunohistochemistry. This approach enabled single-cell resolution quantification of 21 biomarkers through 7 sequential staining and imaging rounds. Immune and tumor cells were classified into 54 subpopulations. The mean intraepithelial immune cell density of CD8+ cytotoxic T cells, CD4+ T-helper cells, FOXP3+ regulatory T cells, CD20+ B cells, M1/M2 macrophages, and CD11c+ dendritic cells varied markedly between tumor entities and individual tumors. For instance, 88(±90) cells/mm2 were found in tubular breast cancer, 661(±729) cells/mm2 in colorectal cancer, and up to 2325(±2131) cells/mm2 in squamous cell cancers from various origins. Unsupervised cluster analysis revealed a “cluster a” of 634 patients from almost all different tumor entities with an exceptionally high density of intraepithelial immune cells that was characterized by a unique interaction profile along with the highest immune checkpoint expression. Across all analyzed tumor entities, the intraepithelial highly inflamed cluster a was significantly linked to low pathologic tumor stage (P < .001). The data from this study provide a comprehensive characterization of intraepithelial immune cells across 43 different human carcinomas and identified an inflamed pan-cancer phenotype characterized by strong interactions of intraepithelial CD8+ cytotoxic T cells, CD4+ T cells, dendritic cells, and M2 macrophages, along with highest levels of TIM3, PD-1, and CTLA-4 expression that is linked to a favorable tumor phenotype.
尽管越来越多的证据表明,与肿瘤细胞(上皮内)直接接触的免疫细胞亚群可以预测对免疫检查点治疗的反应和患者的预后,但缺乏对上皮内免疫细胞及其空间相互作用的全面评估。为了评估43种癌症实体的上皮内白细胞密度、免疫检查点表达和空间相互作用,使用深度学习框架和BLEACH&STAIN多重荧光免疫组织化学(mfIHC)分析了组织微阵列格式的4915例肿瘤样本。该方法通过7轮连续染色和成像,实现了21种生物标志物的单细胞分辨率定量。免疫细胞和肿瘤细胞可分为54个亚群。上皮内CD8+细胞毒性t细胞、CD4+ t辅助细胞、FOXP3+Tregs细胞、CD20+ b细胞、M1/ m2巨噬细胞和CD11c+树突状细胞的平均免疫细胞密度在肿瘤实体和个体之间存在显著差异。例如,在管状乳腺癌中发现88(±90)个细胞/mm2,在结直肠癌中发现661(±729)个细胞/mm2,在各种来源的鳞状细胞癌中发现高达2325(±2131)个细胞/mm2。无监督聚类分析显示,来自几乎所有不同肿瘤实体的634例患者的“聚类a”具有异常高密度的上皮内免疫细胞,其特征是独特的相互作用谱以及最高的免疫检查点表达。在所有分析的肿瘤实体中,上皮内高度炎症的簇a与低pT (p) +细胞毒性t细胞、CD4+ t细胞、树突状细胞和M2巨噬细胞以及最高水平的TIM3、PD-1和CTLA-4表达显著相关,这与有利的肿瘤表型有关。
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引用次数: 0
Artificial Intelligence–Powered Spatial Analysis of the Tumor Microenvironment in Pulmonary Lymphoepithelial Carcinoma 基于人工智能的肺淋巴上皮癌肿瘤微环境空间分析。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-01 Epub Date: 2025-10-13 DOI: 10.1016/j.labinv.2025.104252
Haohua Teng , Yueyuxiao Yang , Chan Xiang , Jikai Zhao , Zhanxian Shang , Qian Zhu , Lianying Guo , Qiushun He , Meng Yang , Yuchen Han
Lymphoepithelial carcinoma (LEC) can occur in various organs, such as the lung, nasopharynx, and thymus. We investigated the spatial characteristics of the tumor immune microenvironment (TIME) among primary pulmonary LECs (pLECs), pulmonary metastatic nasopharyngeal carcinomas (pmNPCs), and thymic LECs (tLECs). In this retrospective study, a total of 160 surgically resected LEC cases, comprising 116 pLECs, 26 tLECs, and 18 pmNPCs, were included. The TIME features, based on hematoxylin and eosin (H&E)-stained whole-slide images (WSIs) and multiplexed immunofluorescence staining images, were obtained and their association with patient prognosis was analyzed. We developed a semisupervized model for automated tumor segmentation based on H&E WSIs. The performance of the model was robust, with a mean accuracy rate of 0.847 on the testing set. Subsequent TIME analysis revealed different spatial distribution patterns of lymphocytes on H&E WSIs among pLECs, tLECs, and pmNPCs. Lymphocyte count and distribution were prognostically relevant in pLECs, with an increasing trend of lymphocytes from the peripheral normal lung area to the tumor core in patients with a good prognosis. Further TIME analysis based on multiplexed immunofluorescence images uncovered that spatial arrangement and spatial interaction pattern characteristics were dependent on specific tumor types and cell subtypes. Our semisupervized learning model offers an automated and reproducible method for tumor segmentation for the TIME of rare LECs. Our analysis revealed different TIME patterns that distinguish among pLEC, tLEC, and pmNPC and demonstrates that the spatial arrangement and positional interaction patterns of PDL1+ tumor cells and FOXP3+ regulatory T cells could stratify prognosis in patients with pLEC.
淋巴上皮癌(LEC)可发生在各种器官,如肺、鼻咽部和胸腺。我们研究了原发性肺LECs (pLECs)、肺转移性鼻咽癌(pmnpc)和胸腺LECs (tLECs)肿瘤免疫微环境(TIME)的空间特征。在这项回顾性研究中,共包括160例手术切除的LEC病例,包括116例plec, 26例tLECs和18例pmnpc。基于苏木精和伊红(H&E)染色的全片图像(WSIs)和多路免疫荧光(mIF)染色图像获得TIME特征,并分析其与患者预后的关系。我们开发了一种基于H&E wsi的半监督自动肿瘤分割模型。该模型具有良好的鲁棒性,在测试集上的平均准确率为0.847。随后的TIME分析显示,pLECs、tLECs和pmnpc在H&E wsi上的淋巴细胞空间分布模式不同。淋巴细胞计数和分布与pLECs预后相关,在预后良好的患者中,淋巴细胞从正常肺外周区向肿瘤核心区增加。基于mIF图像的进一步TIME分析发现,空间排列和空间相互作用模式特征依赖于特定的肿瘤类型和细胞亚型。我们的半监督学习模型为罕见LECs的肿瘤分割提供了一种自动化和可重复的方法。我们的分析揭示了pLEC、tLEC和pmNPC之间不同的时间模式,并表明PDL1+肿瘤细胞和FOXP3+ Tregs的空间排列和位置相互作用模式可以对pLEC患者的预后进行分层。
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引用次数: 0
Assessing the Status of Cyclin E1 (CCNE1) From Gene to Protein Level in Ovarian and Endometrial Carcinomas: A Systematic Review 评估周期蛋白E1 (CCNE1)在卵巢癌和子宫内膜癌中从基因到蛋白水平的状态:一项系统综述。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-01 Epub Date: 2025-10-10 DOI: 10.1016/j.labinv.2025.104249
Alexis Trecourt , Catherine Genestie , Alexander Valent , Mojgan Devouassoux-Shisheboran , Etienne Rouleau , Elisa Yaniz-Galende , Audrey Leformal , Valeria Naim , Alexandra Leary
Twenty percent and 45.4% of high-grade ovarian carcinomas (OC) and endometrial carcinomas (EC) exhibit CCNE1 amplification (CCNE1-amp), respectively, which is related to poor prognosis, but could serve as predictive biomarker for response to innovative targeted therapies. However, there is no consensus regarding how to evaluate the CCNE1 status (at the DNA, RNA, and/or protein level). Therefore, we conducted a systematic review of CCNE1 status testing in tubo-ovarian neoplasms and EC, comparing their performance for clinical purposes and highlighting the test’s interpretation criteria (CRD420250651291). Among the 734 records initially found on PubMed and Google Scholar, 48 reports were finally included. Molecular analyses and immunohistochemistry (IHC) were reported on 9774 tubo-ovarian neoplasms and 750 EC, and 6966 tubo-ovarian neoplasms and 856 EC, respectively. The most frequently morphological used method to detect CCNE1-amp was fluorescent in situ hybridization (13/16 studies, 81.3%), with quite consensual criteria to defined amplification (ie, CCNE1/chromosome 19 ratio ≥2, and/or >8/≥8 copies of CCNE1 per nucleus, and/or ≥4 CCNE1 copies in ≥40% of cells). The proportion of tubo-ovarian neoplasms with CCNE1 immunohistochemical overexpression varied from 13.5% to 96%, and 14.6% to 86.1% in EC. The sensitivity and specificity of CCNE1 IHC to detect/exclude CCNE1-amp varied from 54.5% to 100% and 59.3% to 90.1%, respectively. Given the reported data, CCNE1 overexpression should be considered either when an H-score is ≥100 or when the staining is >60% with >5% of cells strongly stained. Both CCNE1-amp and CCNE1 overexpressions were associated with poor prognosis and with response to Wee1 and CDK2 inhibitors in high-grade serous OC (overall response rate up to 53%, objective response rate of 32%-40%). In contrast, CCNE1 messenger RNA overexpression had no prognostic value. Thus, both CCNE1-amp detection by fluorescent in situ hybridization and CCNE1 protein levels quantification using IHC represent today the most validated tools to determine the CCNE1 status in OC/EC.
高级别卵巢癌(OC)和子宫内膜癌(EC)分别有20%和45.4%表现出CCNE1扩增(CCNE1-amp),这与预后不良有关,但可以作为对创新靶向治疗反应的预测性生物标志物。然而,关于如何评估CCNE1状态(在DNA、RNA和/或蛋白质水平上)尚无共识。因此,我们对输卵管卵巢肿瘤和EC的CCNE1状态检测进行了系统综述,比较了它们在临床中的表现,并强调了检测的解释标准(CRD420250651291)。在PubMed和b谷歌Scholar上最初发现的734条记录中,最终收录了48篇报告。分别对9774例输卵管卵巢肿瘤和750例EC、6966例输卵管卵巢肿瘤和856例EC进行了分子分析和免疫组化(IHC)。检测CCNE1-amp最常用的形态学方法是荧光原位杂交(FISH; 13/16项研究,81.3%),对扩增的定义标准是相当一致的(即CCNE1/ 19号染色体的比率≥2,和/或每个细胞核有8/≥8个CCNE1拷贝,和/或≥4个CCNE1拷贝在≥40%的细胞中)。CCNE1免疫组化过表达的输卵管卵巢肿瘤比例为13.5% ~ 96%,EC为14.6% ~ 86.1%。CCNE1 IHC检测/排除CCNE1-amp的敏感性和特异性分别为54.5% ~ 100%和59.3% ~ 90.1%。根据已报道的数据,当h评分至少为>00时,或者当>染色为60%,>染色为5%的细胞强烈染色时,应考虑CCNE1过表达。CCNE1-amp和CCNE1过表达均与HGSOC患者预后不良以及对Wee1和CDK2抑制剂的反应相关(总缓解率高达53%,客观缓解率为32-40%)。相比之下,CCNE1 mRNA过表达没有预后价值。因此,FISH检测CCNE1-amp和IHC定量CCNE1蛋白水平是目前确定OC/EC中CCNE1状态最有效的工具。
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引用次数: 0
MMP13-Expressing and COL11A1-Expressing Cancer-Associated Fibroblasts: Key Drivers of Esophageal Squamous Cell Carcinoma Progression and Prognostic Indicators 表达MMP13-和col11a1的癌症相关成纤维细胞:食管鳞状细胞癌进展和预后指标的关键驱动因素
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-01 Epub Date: 2025-09-24 DOI: 10.1016/j.labinv.2025.104247
Shu Kato , Yuki Kato , Makoto Kodama , Kouhei Yamamoto , Asuka Furukawa , Yoshihiro Nagase , Rinka Miyashiro , Minako Takagi , Masayoshi Sakano , Hisashi Fujiwara , Kenro Kawada , Yusuke Kinugasa , Kenichi Ohashi
The tumor microenvironment comprises various cell types, and cancer-associated fibroblasts (CAFs) are crucial contributors to cancer progression and metastasis. CAFs also play an important role in esophageal squamous cell carcinoma and have been extensively studied in this context. However, the association between CAFs and progression across pathological stages has not yet been reported. To identify these specific CAFs, we used a case-oriented approach for single-cell RNA sequencing. Consequently, we identified 3 CAF clusters classified as myofibroblastic CAFs (myCAFs), which increased in number as the cancer progressed. Pathway analysis revealed that the 3 CAF clusters had distinct properties. These CAFs were named MMP13+, COL11A1+, and SFRP4+ myCAFs based on their characteristic gene expression. We also investigated the distribution of various immune cells within the tumor microenvironment associated with the 3 different CAF clusters. The results revealed the presence of different types of immune cells, including M2 macrophages, regulatory T cells, and interferon gamma+ programmed death-1+ T cells and interferon gamma+ programmed death-1 T cells. Next, we evaluated the presence of these 3 CAF subtypes in surgically resected specimens from patients with advanced esophageal squamous cell carcinoma using RNA in situ hybridization. Analysis of the association between these 3 CAF subtypes and prognosis showed that 2 subtypes (MMP13+ and COL11A1+ myCAFs) were associated with poor prognosis. MMP13+ myCAFs were associated with poorly differentiated infiltration patterns, whereas COL11A1+ myCAFs were associated with lymph node metastasis. These results suggest that future treatments targeting these CAFs and patient stratification based on these CAFs are warranted.
肿瘤微环境包括多种细胞类型,癌症相关成纤维细胞是癌症进展和转移的关键因素。癌症相关成纤维细胞在食管鳞状细胞癌中也起重要作用,并在此背景下被广泛研究。然而,癌症相关成纤维细胞与病理阶段进展之间的关系尚未报道。为了鉴定这些特定的癌症相关成纤维细胞,我们使用了一种以病例为导向的单细胞RNA测序方法。因此,我们确定了三种癌症相关成纤维细胞簇,归类为肌成纤维细胞癌症相关成纤维细胞,其数量随着癌症的进展而增加。通路分析显示,三种与癌症相关的成纤维细胞簇具有不同的特性。这些癌症相关成纤维细胞根据其特征基因表达被命名为MMP13+、COL11A1+和SFRP4+肌成纤维细胞癌症相关成纤维细胞。我们还研究了与三种不同的癌症相关成纤维细胞簇相关的肿瘤微环境中各种免疫细胞的分布。结果显示存在不同类型的免疫细胞,包括M2巨噬细胞、调节性T细胞、干扰素-γ+程序性死亡-1+ T细胞和干扰素-γ+程序性死亡-1- T细胞。接下来,我们使用RNA原位杂交技术评估了晚期食管鳞状细胞癌患者手术切除标本中这三种癌症相关成纤维细胞亚型的存在。对这三种癌症相关成纤维细胞亚型与预后的相关性分析显示,两种亚型(MMP13+和COL11A1+肌成纤维细胞癌症相关成纤维细胞)与预后不良相关。MMP13+肌成纤维细胞癌相关成纤维细胞与低分化浸润模式相关,而COL11A1+肌成纤维细胞癌相关成纤维细胞与淋巴结转移相关。这些结果表明,未来针对这些癌症相关成纤维细胞的治疗和基于这些癌症相关成纤维细胞的患者分层是有必要的。
{"title":"MMP13-Expressing and COL11A1-Expressing Cancer-Associated Fibroblasts: Key Drivers of Esophageal Squamous Cell Carcinoma Progression and Prognostic Indicators","authors":"Shu Kato ,&nbsp;Yuki Kato ,&nbsp;Makoto Kodama ,&nbsp;Kouhei Yamamoto ,&nbsp;Asuka Furukawa ,&nbsp;Yoshihiro Nagase ,&nbsp;Rinka Miyashiro ,&nbsp;Minako Takagi ,&nbsp;Masayoshi Sakano ,&nbsp;Hisashi Fujiwara ,&nbsp;Kenro Kawada ,&nbsp;Yusuke Kinugasa ,&nbsp;Kenichi Ohashi","doi":"10.1016/j.labinv.2025.104247","DOIUrl":"10.1016/j.labinv.2025.104247","url":null,"abstract":"<div><div>The tumor microenvironment comprises various cell types, and cancer-associated fibroblasts (CAFs) are crucial contributors to cancer progression and metastasis. CAFs also play an important role in esophageal squamous cell carcinoma and have been extensively studied in this context. However, the association between CAFs and progression across pathological stages has not yet been reported. To identify these specific CAFs, we used a case-oriented approach for single-cell RNA sequencing. Consequently, we identified 3 CAF clusters classified as myofibroblastic CAFs (myCAFs), which increased in number as the cancer progressed. Pathway analysis revealed that the 3 CAF clusters had distinct properties. These CAFs were named <em>MMP13</em><sup>+</sup>, <em>COL11A1</em><sup>+</sup>, and <em>SFRP4</em><sup>+</sup> myCAFs based on their characteristic gene expression. We also investigated the distribution of various immune cells within the tumor microenvironment associated with the 3 different CAF clusters. The results revealed the presence of different types of immune cells, including M2 macrophages, regulatory T cells, and interferon gamma<sup>+</sup> programmed death-1<sup>+</sup> T cells and interferon gamma<sup>+</sup> programmed death-1<sup>−</sup> T cells. Next, we evaluated the presence of these 3 CAF subtypes in surgically resected specimens from patients with advanced esophageal squamous cell carcinoma using RNA in situ hybridization. Analysis of the association between these 3 CAF subtypes and prognosis showed that 2 subtypes (<em>MMP13</em><sup>+</sup> and <em>COL11A1</em><sup>+</sup> myCAFs) were associated with poor prognosis. <em>MMP13</em><sup>+</sup> myCAFs were associated with poorly differentiated infiltration patterns, whereas <em>COL11A1</em><sup>+</sup> myCAFs were associated with lymph node metastasis. These results suggest that future treatments targeting these CAFs and patient stratification based on these CAFs are warranted.</div></div>","PeriodicalId":17930,"journal":{"name":"Laboratory Investigation","volume":"105 12","pages":"Article 104247"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145176288","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
Combined Multicolor Immunofluorescence Staining and Spatial In Situ messenger RNA Expression Analysis Identifies Potential Fibrosis Drivers in Acute Lymphoblastic Leukemia 联合多色免疫荧光染色和空间原位mRNA表达分析确定急性淋巴细胞白血病潜在的纤维化驱动因素。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-12-01 Epub Date: 2025-09-18 DOI: 10.1016/j.labinv.2025.104241
Sandro Bräunig , Carl Dencker , Dang Nghiem Vo , Rong Fan , Alba Lillo Sierras , Jens Enoksson , Anne Hultquist , Hongzhe Li , Stefan Scheding
Acute lymphoblastic leukemia (ALL) is the most prevalent childhood cancer. Bone marrow (BM) fibrosis in ALL has been associated with adverse outcomes; however, little is known about the mechanisms that cause fibrosis in ALL. Therefore, we established a novel and advanced analysis method by combining multicolor immunofluorescence (IF) staining with in situ RNA expression analysis (RNAscope) to investigate the spatial expression of putative fibrotic drivers in ALL BMs. We analyzed standard BM biopsies from pediatric patients with ALL. Sequential 5-color IF staining with CD45, CD271, CD31, CD34, and DAPI was used to identify different BM cell types. Combined RNAscope and IF staining was established for spatial messenger RNA expression analysis of transforming growth factor beta 1 (TGFB1) and platelet-derived growth factor alpha 1 (PDGFA1), which are known to play major roles in primary myelofibrosis (PMF). PMF and normal BM samples served as controls. As expected, ALL BMs showed high cellularities and prominent populations of blast cells. CD271+ mesenchymal stromal cell density was increased in ALL and was associated with fibrosis in a similar manner as observed for PMF. TGFB1 and PDGFA1 expression was considerably increased in ALL megakaryocytes (MKs) compared with patients with PMF and normal controls. Furthermore, MK TGFB1 and PDGFA1 expression intensities in fibrotic ALL correlated with fibrosis grade. TGFB1 and PDGFA1 were also expressed in leukemic blasts, however, at lower intensities compared with ALL MKs. Taken together, advanced in situ RNA and IF staining not only revealed increased expression of TGFB1 and PDGFA1 in fibrotic pediatric ALL but also identified ALL blasts and MKs as their cellular origin at the single-cell level. These novel data strongly suggest a role of these cytokines as potential fibrosis drivers in ALL. More broadly, our findings demonstrate that combined RNA and surface marker analysis is a powerful tool to provide new and valuable insights into BM pathophysiology.
急性淋巴细胞白血病(ALL)是最常见的儿童癌症。ALL患者骨髓纤维化与不良预后相关,然而,对ALL患者骨髓纤维化的机制知之甚少。因此,我们建立了一种新的先进的分析方法,将多色免疫荧光染色与原位RNA表达分析(RNAscope®)相结合,研究ALL骨髓中可能的纤维化驱动因子的空间表达。我们分析了儿科ALL患者的标准脑脊髓瘤活检。采用CD45、CD271、CD31、CD34和DAPI的顺序5色免疫荧光(IF)染色对不同类型的BM细胞进行鉴定。建立RNAscope®和IF联合染色,分析转化生长因子β 1 (TGFB1)和血小板源性生长因子α 1 (PDGFA1)的空间mRNA表达,这两个已知在原发性骨髓纤维化(PMF)中起主要作用。PMF和正常BM作为对照。正如预期的那样,ALL骨髓显示出高细胞性和突出的胚细胞群。CD271+ MSC密度在ALL中升高,与PMF中观察到的纤维化相似。与PMF患者和正常对照相比,ALL巨核细胞(mk)中TGFB1和PDGFA1的表达显著增加。此外,MK TGFB1和PDGFA1在纤维化性ALL中的表达强度与纤维化级别相关。TGFB1和PDGFA1也在白血病原细胞中表达,但与ALL mk相比表达强度较低。总之,先进的原位RNA和IF染色不仅揭示了TGFB1和PDGFA1在纤维化儿童ALL中的表达增加,而且在单细胞水平上确定了ALL母细胞和mk是它们的细胞来源。这些新的数据强烈提示这些细胞因子在ALL中作为潜在的纤维化驱动因素的作用。更广泛地说,我们的研究结果表明,结合RNA和表面标记分析是一个强大的工具,为骨髓病理生理学提供新的和有价值的见解。
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引用次数: 0
Senescent Epithelial Cells Serve as Invasive Growth Drivers in Ameloblastoma 衰老上皮细胞在成釉细胞瘤中起侵袭性生长驱动作用。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-11-01 Epub Date: 2025-08-06 DOI: 10.1016/j.labinv.2025.104227
Hao Lin , Jia-Jie Liang , Chen-Xi Zhang , Qi-Wen Man , Rui-Fang Li , Lin-Zhou Zhang , Bing Liu
Cellular senescence and its associated microenvironment play a pivotal role in tumor initiation and progression. Although ameloblastoma (AM) is classified as a benign tumor, it is characterized by local invasiveness and a high recurrence rate. In this study, we identified a distinct population of senescent epithelial cells using senescence-associated β-galactosidase staining and explored the role of this subpopulation in AM progression. The CellChat tool was utilized to map intercellular communication networks, revealing that this senescent cell cluster promotes stemness in neighboring cells and drives angiogenesis and osteoclastogenesis, which was subsequently confirmed by a series of in vitro experiments. Moreover, conditioned medium from these senescent cells significantly enhanced tumor growth in patient-derived organoids. Clinical data further demonstrated that elevated levels of cellular senescence were strongly associated with greater tumor invasiveness and poorer prognosis in AM patients. In conclusion, our findings suggest that targeting this specific subset of senescent epithelial cells may offer a novel therapeutic approach for AM management, potentially reducing tumor aggressiveness and recurrence.
细胞衰老及其相关微环境在肿瘤的发生和发展中起着关键作用。虽然成釉细胞瘤(AM)被归类为良性肿瘤,但它具有局部侵袭性和高复发率的特点。在这项研究中,我们使用衰老相关的β-半乳糖苷酶染色确定了一个独特的衰老上皮细胞群,并探讨了该亚群在AM进展中的作用。CellChat工具被用于绘制细胞间通信网络,揭示了这种衰老细胞簇促进邻近细胞的干性,并驱动血管生成和破骨细胞生成,随后通过一系列体外实验证实了这一点。此外,从这些衰老细胞中提取的条件培养基显著促进了患者来源的类器官的肿瘤生长。临床数据进一步表明,AM患者细胞衰老水平升高与肿瘤侵袭性增强和预后不良密切相关。总之,我们的研究结果表明,针对这一特定的衰老上皮细胞亚群可能为AM治疗提供一种新的治疗方法,可能会降低肿瘤的侵袭性和复发。
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引用次数: 0
Tenascin-C Expression in Relation to Tumor-Stroma Interaction in Ameloblastoma 成釉细胞瘤中Tenascin-C表达与肿瘤-间质相互作用的关系。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-11-01 Epub Date: 2025-09-03 DOI: 10.1016/j.labinv.2025.104237
Satoko Sumi , Shohei Yoshimoto , Kanako Suyama , Masahide Taguchi , Hiromitsu Morita , Akimitsu Hiraki , Kyoko Oka
Ameloblastoma (AM) is a benign epithelial odontogenic tumor that occurs in the jawbone. Although benign, AM can exhibit aggressive features, including locally invasive growth. In addition, local recurrence or distant metastasis may occur. Therefore, understanding the mechanisms underlying AM-cell migration is essential for improving clinical therapy. The role of the tumor microenvironment in disease progression has been extensively studied in various tumors. In the microenvironment, it has been reported that the extracellular matrix plays many roles. Tenascin-C (TN-C) is an extracellular matrix glycoprotein that is highly expressed during tissue development and remodeling. In this study, we investigated the involvement of TN-C in AM progression. Immunohistochemical analysis of AM specimens revealed high TN-C protein expression in the stroma, particularly at the invasive front. In contrast, RNA in situ hybridization demonstrated that TNC was localized within tumor cells, suggesting that the TN-C protein in the stroma is secreted by tumor cells rather than produced by stromal cells. In in vitro analyses, TN-C expression was significantly upregulated in cocultures of the AM cell line, AM-1, and primary human periodontal ligament fibroblasts, indicating that tumor-stroma interactions enhance tumor-derived TN-C expression. Functionally, TN-C stimulation promoted AM-cell migration, whereas TNC knockdown suppressed it. Spatial transcriptomics revealed elevated TNC expression in regions undergoing malignant transformation. Our results demonstrate that tumor-derived TN-C promotes AM progression. The expression of TN-C at the invasive front and in malignant regions suggests its potential as both a prognostic marker and a therapeutic target in tumor progression.
成釉细胞瘤(AM)是一种发生在颌骨的良性上皮性牙源性肿瘤。虽然AM是良性的,但它可以表现出侵袭性特征,包括局部侵袭性生长。此外,局部复发或远处转移也可能发生。因此,了解AM细胞迁移的机制对改善临床治疗至关重要。肿瘤微环境在各种肿瘤疾病进展中的作用已被广泛研究。在微环境中,有报道称细胞外基质发挥着多种作用。Tenascin-C (TN-C)是一种细胞外基质糖蛋白,在组织发育和重塑过程中高度表达。在这项研究中,我们研究了TN-C在AM进展中的作用。AM标本的免疫组织化学分析显示基质中TN-C蛋白的高表达,特别是在侵袭前。相比之下,RNA原位杂交表明TNC定位于肿瘤细胞内,这表明基质中的TNC蛋白是由肿瘤细胞分泌而不是由基质细胞产生的。在体外分析中,在成釉细胞瘤细胞系、AM-1和原代人牙周韧带成纤维细胞共培养中,TN-C的表达显著上调,表明肿瘤-基质相互作用增强了肿瘤源性TN-C的表达。在功能上,TN-C刺激促进AM细胞迁移,而TNC敲低则抑制AM细胞迁移。空间转录组学显示TNC在恶性转化区域的表达升高。我们的研究结果表明,肿瘤来源的TN-C促进AM的进展。TN-C在侵袭前沿和恶性区域的表达表明其作为肿瘤进展的预后标志物和治疗靶点的潜力。
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引用次数: 0
Fatty Pancreas Disease: An Integrated Study on Frozen Tissues Shows Distinct Compartments of Interlobular/Intralobular, Intra-Acinar, and Intra-Islet Fat Deposition 脂肪性胰腺疾病:一项冷冻组织的综合研究显示,小叶间/小叶内、腺泡内和胰岛内的脂肪沉积存在明显的区室。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-11-01 Epub Date: 2025-08-19 DOI: 10.1016/j.labinv.2025.104214
Claudio Luchini , Carlotta Franzina , Federico Caldart , Nicolò De Pretis , Manola Crestani , Massimo Donadelli , Paola Mattiolo , Alessandra Fiore , Federica Danzi , Riccardo De Robertis , Michele Bevere , Roberto Baldan , Laura Tommasi , Nicolò Vianini , Paolo Bernardi , Mirco Galiè , Antonio Pea , Rachele Ciccocioppo , Mirko D’Onofrio , Roberto Salvia , Luca Frulloni
Obesity-related diseases and perturbations of fat metabolism represent some of the most common health challenges. In this complex scenario, recent evidence has suggested the emergence of a condition related to fat accumulation in the pancreas, which is generally referred to as fatty pancreas disease. This study aimed to clarify the different compartments of intrapancreatic fat deposition. The study cohort is represented by 100 patients who underwent pancreatic surgical resection. The pancreatic neck margin was analyzed with hematoxylin and eosin for evaluating tissue composition and with Oil Red O, a fat-specific histochemical staining, highlighting lipid droplets as red signals, for evaluating the presence of intracellular fat. Two cases were also analyzed with electron microscopy as cross-sectional validation. Regarding tissue composition, the most prevalent component was normal pancreatic parenchyma (mean value, 71.8%), followed by fibrosis (17.3%) and interlobular/intralobular fat (10.9%). Regarding intracellular fat deposition, Oil Red O–positive intracytoplasmic lipid droplets were present in most patients. The tissue areas with the highest levels of fat deposition were Langerhans’ islets, with neuroendocrine/insular cells showing more commonly a diffuse pattern of fat accumulation (>75% of cells). Electron microscopy confirmed the presence of intracytoplasmic lipid vacuoles in neuroendocrine/insular cells. Our findings showed the presence of different compartments of intrapancreatic fat deposition, both in terms of tissue composition and intracellular compartmentalization. Understanding the mechanisms of fat deposition in the pancreas is crucial toward improving the general knowledge on fatty pancreas disease, also opening new perspectives for the study of lipid metabolism and the treatment of fat-related diseases.
肥胖相关疾病和脂肪代谢紊乱是一些最常见的健康挑战。在这种复杂的情况下,最近的证据表明出现了一种与胰腺脂肪堆积有关的疾病,通常被称为脂肪性胰腺疾病。本研究旨在阐明胰腺内脂肪沉积的不同区室。该研究队列由100例接受胰腺手术切除的患者代表。胰颈缘用苏木精-伊红染色评估组织组成,用Oil Red O(一种脂肪特异性组织化学染色,突出脂滴作为红色信号)评估细胞内脂肪的存在。两个病例也用电子显微镜分析作为横断面验证。在组织组成方面,最常见的是正常胰腺实质(平均值:71.8%),其次是纤维化(17.3%)和小叶间/小叶内脂肪(10.9%)。关于细胞内脂肪沉积,大多数患者存在油红o阳性的胞浆内脂滴。脂肪沉积水平最高的组织区域是朗格汉斯胰岛,神经内分泌/岛细胞更常见地表现为弥漫性脂肪堆积(约占细胞的75%)。电镜检查证实在神经内分泌/岛细胞中存在胞浆内脂泡。我们的研究结果表明,在组织组成和细胞内区隔化方面,胰腺内脂肪沉积存在不同的区隔。了解胰腺脂肪沉积的机制对于提高对脂肪性胰腺疾病的认识至关重要,也为脂质代谢的研究和脂肪相关疾病的治疗开辟了新的视角。
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引用次数: 0
Comprehensive Analysis of Neurogenic Differentiation Factor 1 (NEUROD1), Achaete-Scute Homolog 1 (ASCL1), POU Class 2 Homeobox 3 (POU2F3), and Yes-Associated Protein 1 (YAP1) Expression Signatures Reveals Unique Large-Cell Neuroendocrine Carcinoma (LCNEC) Subgroups With Potential Therapeutic Implications 综合分析neurod1, ascl1, pou2f3和yap1表达特征揭示了具有潜在治疗意义的独特lcnec亚群。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-11-01 Epub Date: 2025-09-01 DOI: 10.1016/j.labinv.2025.104234
Frank W.J. Heijboer , Jules L. Derks , Dana A.M. Mustafa , Nicole Rijnsburger , Bregtje C.M. Hermans , Lisa M. Hillen , PALGA-Group , Ernst-Jan M. Speel , Anne-Marie C. Dingemans , Jan H. von der Thüsen
Large-cell neuroendocrine carcinoma (LCNEC) can be genomically subtyped into small-cell lung cancer (SCLC) and non-SCLC–like. Neurogenic differentiation 1 (NEUROD1), achaete-scute homolog 1 (ASCL1), POU class 2 homeobox 3 (POU2F3), and yes-associated protein 1 (YAP1) (NEUROD1, ASCL1, POU2F3, and YAP1 [NAPY]) subtypes have been reported for SCLC. We immunohistochemically evaluated NAPY in LCNEC alongside relevant protein expression data. Tissue microarrays from 133 stage I-III resected LCNEC were reviewed and immunostained for NAPY, protein retinoblastoma (pRb), delta-like ligand 3 (DLL3), cMYC, and thyroid transcription factor 1. An H-score of >10 was considered positive (+), and >50, dominant. Unsupervised clustering and spatial immune RNA profiling using GeoMx Digital Spatial Profiling (NanoString Technology) were performed. Clinical data were obtained from the Netherlands Cancer Registry. ASCL1 was dominant in 26% and NEUROD1 in 18% of LCNEC. pRb loss was observed in 75%, and DLL3+, cMYC+, and thyroid transcription factor 1+ in 66%, 26%, and 70%, respectively. Unsupervised clustering identified 5 expression-based subgroups: NEUROD1high-ASCL1high (10%), ASCL1high (22%), POU2F3high (5%), YAP1high (11%), and NAPYlow (51%). Both ASCL1high subgroups correlated with DLL3high and high neuroendocrine (NE) marker expression. YAP1high was enriched for pRb+. POU2F3high and YAP1high subgroups were NE marker low and DLL3low. GeoMX Digital Spatial Profiling identified 4 upregulated genes involved in immune system and/or tumor development in the NEUROD1high-ASCL1high-POU2F3high- group. In this comprehensive evaluation of NAPY markers in LCNEC, we observed 5 expression-based subgroups: NEUROD1high-ASCL1high, ASCL1high, POU2F3high, YAP1high, and NAPYlow. The NE subgroups (NEUROD1high-ASCL1high and ASCL1high) were recognized with DLL3high expression. Compared with the proportion known in SCLC, more NAPYlow and YAP1high and fewer POU2F3high cases were identified. Application of NAPY in LCNEC provides a more modest discrimination of subgroups compared with SCLC. Further research on potential drug targets is warranted, ie, differences in DLL3 and YAP1 expression could guide personalized treatment strategies.
大细胞神经内分泌癌(LCNEC)可以在基因组上分型为小细胞肺癌(SCLC)样和非SCLC (NSCLC)样。神经d1、ASCL1、POU2F3和YAP1 (NAPY)亚型已被报道用于SCLC。我们用免疫组织化学方法评估了LCNEC中的NAPY以及相关的蛋白表达数据。对133例I-III期LCNEC切除的组织微阵列进行了回顾,并进行了NAPY、pRb、DLL3、cMYC和TTF1的免疫染色。h -评分b>0为阳性(+),bbbb50为显性。使用GeoMX数字空间分析(DSP)进行无监督聚类和空间免疫RNA分析。临床数据来自荷兰癌症登记处。在LCNEC中,ASCL1占26%,NEUROD1占18%。pRb丢失的比例为75%,DLL3+、cMYC+和TTF1+分别为66%、26%和70%。无监督聚类鉴定出5个基于表达的亚组:NEUROD1high-ASCL1high(10%)、ASCL1high(22%)、POU2F3high(5%)、YAP1high(11%)、NAPYlow(51%)。ascl1高亚组与dll3高和高神经内分泌(NE)标志物表达相关。YAP1high对pRb+富集。pou2f3高亚组和yap1高亚组为NE标记低亚组,dll30低亚组。DSP在neurod1high - ascl1high - pou2f3high组中发现了四个参与免疫系统和/或肿瘤发展的上调基因。在对LCNEC中NAPY标志物的综合评估中,我们观察到5个基于表达的亚组:NEUROD1high-ASCL1high、ASCL1high、POU2F3high、YAP1high和NAPYlow。NE亚组(NEUROD1high-ASCL1high和ASCL1high)均有dll3高表达。与SCLC中已知的比例相比,发现的NAPYlow和YAP1high病例较多,而POU2F3high病例较少。与SCLC相比,NAPY在LCNEC中的应用提供了更温和的亚群区分。进一步研究潜在的药物靶点是有必要的,即DLL3和YAP1表达的差异可以指导个性化的治疗策略。
{"title":"Comprehensive Analysis of Neurogenic Differentiation Factor 1 (NEUROD1), Achaete-Scute Homolog 1 (ASCL1), POU Class 2 Homeobox 3 (POU2F3), and Yes-Associated Protein 1 (YAP1) Expression Signatures Reveals Unique Large-Cell Neuroendocrine Carcinoma (LCNEC) Subgroups With Potential Therapeutic Implications","authors":"Frank W.J. Heijboer ,&nbsp;Jules L. Derks ,&nbsp;Dana A.M. Mustafa ,&nbsp;Nicole Rijnsburger ,&nbsp;Bregtje C.M. Hermans ,&nbsp;Lisa M. Hillen ,&nbsp;PALGA-Group ,&nbsp;Ernst-Jan M. Speel ,&nbsp;Anne-Marie C. Dingemans ,&nbsp;Jan H. von der Thüsen","doi":"10.1016/j.labinv.2025.104234","DOIUrl":"10.1016/j.labinv.2025.104234","url":null,"abstract":"<div><div>Large-cell neuroendocrine carcinoma (LCNEC) can be genomically subtyped into small-cell lung cancer (SCLC) and non-SCLC–like. Neurogenic differentiation 1 (NEUROD1), achaete-scute homolog 1 (ASCL1), POU class 2 homeobox 3 (POU2F3), and yes-associated protein 1 (YAP1) (NEUROD1, ASCL1, POU2F3, and YAP1 [NAPY]) subtypes have been reported for SCLC. We immunohistochemically evaluated NAPY in LCNEC alongside relevant protein expression data. Tissue microarrays from 133 stage I-III resected LCNEC were reviewed and immunostained for NAPY, protein retinoblastoma (pRb), delta-like ligand 3 (DLL3), cMYC, and thyroid transcription factor 1. An H-score of &gt;10 was considered positive (+), and &gt;50, dominant. Unsupervised clustering and spatial immune RNA profiling using GeoMx Digital Spatial Profiling (NanoString Technology) were performed. Clinical data were obtained from the Netherlands Cancer Registry. ASCL1 was dominant in 26% and NEUROD1 in 18% of LCNEC. pRb loss was observed in 75%, and DLL3+, cMYC+, and thyroid transcription factor 1+ in 66%, 26%, and 70%, respectively. Unsupervised clustering identified 5 expression-based subgroups: NEUROD1<sup>high</sup>-ASCL1<sup>high</sup> (10%), ASCL1<sup>high</sup> (22%), POU2F3<sup>high</sup> (5%), YAP1<sup>high</sup> (11%), and NAPY<sup>low</sup> (51%). Both ASCL1<sup>high</sup> subgroups correlated with DLL3<sup>high</sup> and high neuroendocrine (NE) marker expression. YAP1<sup>high</sup> was enriched for pRb+. POU2F3<sup>high</sup> and YAP1<sup>high</sup> subgroups were NE marker low and DLL3<sup>low</sup>. GeoMX Digital Spatial Profiling identified 4 upregulated genes involved in immune system and/or tumor development in the NEUROD1<sup>high</sup>-ASCL1<sup>high</sup>-POU2F3<sup>high</sup>- group. In this comprehensive evaluation of NAPY markers in LCNEC, we observed 5 expression-based subgroups: NEUROD1<sup>high</sup>-ASCL1<sup>high</sup>, ASCL1<sup>high</sup>, POU2F3<sup>high</sup>, YAP1<sup>high</sup>, and NAPY<sup>low</sup>. The NE subgroups (NEUROD1<sup>high</sup>-ASCL1<sup>high</sup> and ASCL1<sup>high</sup>) were recognized with DLL3<sup>high</sup> expression. Compared with the proportion known in SCLC, more NAPY<sup>low</sup> and YAP1<sup>high</sup> and fewer POU2F3<sup>high</sup> cases were identified. Application of NAPY in LCNEC provides a more modest discrimination of subgroups compared with SCLC. Further research on potential drug targets is warranted, ie, differences in DLL3 and YAP1 expression could guide personalized treatment strategies.</div></div>","PeriodicalId":17930,"journal":{"name":"Laboratory Investigation","volume":"105 11","pages":"Article 104234"},"PeriodicalIF":4.2,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144992935","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
Prevalence of Atypical and Subclonal p53 Immunohistochemistry Expression in Mismatch Repair Deficient and/or POLE-Mutant Endometrial Carcinomas with TP53 Mutation. 不典型和亚克隆p53免疫组织化学表达在错配修复缺陷和/或pole突变的TP53突变子宫内膜癌中的患病率
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-11-01 Epub Date: 2025-07-17 DOI: 10.1016/j.labinv.2025.104216
Jing Wang, Yumeng Cai, Jun Wang, Jiuyuan Fang, Junyi Pang, Hui Zhang, Junliang Lu, Zijuan Zhang, Huanwen Wu, Zhiyong Liang

p53 Immunohistochemistry (IHC) is a reliable surrogate for determining TP53 mutation status in endometrial carcinomas (ECs). However, the correlation of p53 IHC patterns and TP53 mutation characteristics in mismatch repair deficiency (MMRd) and/or POLE-mutant ECs was not comprehensively investigated. In this study, we identified 4 p53 expression patterns in 40 MMRd and/or POLE-mutant ECs with TP53 mutations. Thirteen cases (33%) displayed a wild-type pattern. Nine cases (23%) showed atypical pattern, characterized by the presence of eye-catching clustered cells with strong nuclear staining or weak-to-moderate cytoplasmic staining, which were patchily distributed with blurred boundaries. Fourteen cases (35%) demonstrated subclonal pattern with distinct regions of wild-type and mutation-type staining, of which 3 cases were originally misdiagnosed as "mixed EC." Only 4 (10%) cases exhibited typical aberrant pattern. Tumors with wild-type and atypical patterns were predominantly associated with MMRd and POLE mutations, respectively. Among 52 TP53 mutations identified, 75% were missense and 25% were truncating, predominantly in DNA-binding domain. Gain-of-function missense mutations were more frequent in cases with subclonal patterns, whereas non-gain-of-function missense mutations predominated in wild-type or atypical patterns. Concurrent mutations were present in 25% of cases and were more common in aberrant or atypical patterns. Interestingly, 2 POLE wild-type cases with subclonal MMR expression showed p53 overexpression across the entire tumor, complicating molecular subtyping. These findings highlight the prevalence of atypical and subclonal p53 expression patterns in MMRd and/or POLE-mutant ECs with TP53 mutations, aiding in accurate IHC interpretation and thus more precise EC histological and molecular classification.

p53免疫组化(IHC)是确定子宫内膜癌(ECs)中TP53突变状态的可靠替代方法。然而,在错配修复缺陷(MMRd)和/或pole突变ec中,p53 IHC模式与TP53突变特征的相关性尚未得到全面研究。在这项研究中,我们在40例TP53突变的MMRd和/或pole突变ec中发现了四种p53表达模式。13例(33%)表现为野生型。9例(23%)表现不典型,表现为明显的聚集性细胞,核染色强或细胞质染色弱至中度,斑状分布,边界模糊。14例(35%)表现为亚克隆型,具有不同区域的野生型和突变型染色,其中3例最初被误诊为“混合型EC”。只有4例(10%)表现出典型的异常模式。野生型和非典型型肿瘤分别主要与MMRd和POLE突变相关。在鉴定的52个TP53突变中,75%是错义突变,25%是截断突变,主要发生在DNA结合域。功能获得(GOF)错义突变在亚克隆模式中更为常见,而非GOF错义突变在野生型或非典型模式中占主导地位。并发突变存在于25%的病例中,在异常或非典型模式中更为常见。有趣的是,两个具有亚克隆MMR表达的POLE野生型病例显示p53在整个肿瘤中过表达,使分子分型复杂化。这些发现强调了非典型和亚克隆p53表达模式在MMRd和/或极突变的TP53突变EC中普遍存在,有助于准确的免疫组化解释,从而更精确地进行EC的组织学和分子分类。
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Laboratory Investigation
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