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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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引用次数: 0
Integrating Tumor Intraepithelial CD8+ and Stromal FOXP3+ T-Cell Densities as an Enhanced Immune Prognostic Index in Colorectal Cancer. 整合肿瘤上皮内CD8+和间质FOXP3+ T细胞密度作为结直肠癌增强的免疫预后指标。
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.2025.104213
Anne Tuomisto, Päivi Sirniö, Hanna Elomaa, Henna Karjalainen, Ville K Äijälä, Meeri Kastinen, Vilja V Tapiainen, Maarit Ahtiainen, Olli Helminen, Erkki-Ville Wirta, Jukka Rintala, Sanna Meriläinen, Juha Saarnio, Tero Rautio, Toni T Seppälä, Jan Böhm, Jukka-Pekka Mecklin, Markus J Mäkinen, Juha P Väyrynen

High immune cell infiltration is generally associated with better survival in colorectal cancer (CRC). Recently, a prognostic score called CD8IE-FOXP3IS, which integrates the densities of tumor intraepithelial CD8+ and intrastromal FOXP3+ cells, was introduced using multiplex immunofluorescence. In this study, we developed a triple chromogenic immunohistochemistry assay to evaluate the CD8IE-FOXP3IS score and assessed its prognostic value in comparison with the CD3-CD8 T-cell density score (based on the principles of the Immunoscore) and conventional prognostic parameters. Multiplex immunohistochemistry combined with machine learning-assisted image analysis was used to quantify CD8IE and FOXP3IS densities in 2 independent cohorts comprising 1724 CRC patients. Multivariable Cox regression models were used to evaluate the prognostic value of the CD8IE-FOXP3IS score. We found that a low CD8IE-FOXP3IS score was associated with higher disease stage, more frequent lymphovascular invasion, and mismatch repair proficient status. In addition, a low CD8IE-FOXP3IS score was associated with higher CRC-specific mortality independent of the CD3-CD8 T-cell density score and other tumor and patient characteristics (cohort 1: hazard ratio [HR] for low vs high CD8IE-FOXP3IS score, 3.08; 95% CI, 1.54-6.15; Ptrend = 6.0E-4; cohort 2: HR, 4.30; 95% CI, 2.58-7.17; Ptrend = 3.2E-9). These findings indicate that triple chromogenic immunohistochemistry combined with digital pathology is an applicable method for quantifying tumor intraepithelial CD8+ and stromal FOXP3+ cell densities, allowing for the determination of the CD8IE-FOXP3IS score. The CD8IE-FOXP3IS score shows a strong prognostic value, which appears superior to overall CD3+ and CD8+ T-cell density measurement.

高免疫细胞浸润通常与结直肠癌(CRC)更好的生存率相关。最近,一种名为CD8IE-FOXP3IS的预后评分被引入,该评分综合了肿瘤上皮内CD8+和间质内FOXP3+细胞的密度。在这项研究中,我们开发了一种三重显色免疫组织化学方法来评估CD8IE-FOXP3IS评分,并将其与CD3-CD8 T细胞密度评分(基于Immunoscore®的原理)和常规预后参数进行比较,评估其预后价值。使用多重免疫组织化学结合机器学习辅助图像分析来量化两个独立队列的CD8IE和FOXP3IS密度,包括1,724名CRC患者。采用多变量Cox回归模型评价CD8IE-FOXP3IS评分的预后价值。我们发现低CD8IE-FOXP3IS评分与较高的疾病分期、更频繁的淋巴血管侵袭和错配修复(MMR)熟练状态相关。此外,低CD8IE-FOXP3IS评分与较高的crc特异性死亡率相关,与CD3-CD8 T细胞密度评分和其他肿瘤和患者特征无关(队列1:低CD8IE-FOXP3IS评分与高CD8IE-FOXP3IS评分的HR为3.08 95% CI 1.54-6.15;ptrend = 6.0的军医;队列2:HR 4.30 95%CI 2.58-7.17;ptrend = 3.2 e-9)。这些结果表明,三显色免疫组织化学结合数字病理学是一种适用于定量肿瘤上皮内CD8+和间质FOXP3+细胞密度的方法,可以确定CD8IE-FOXP3IS评分。CD8IE-FOXP3IS评分具有很强的预后价值,似乎优于CD3+和CD8+ T细胞密度的总体测量。
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引用次数: 0
Deciphering the Worst Pattern of Invasion in Oral Cancer: Integrative Clinical, Pathological, and Multimodal Nonlinear Optical Imaging Insights 解读口腔癌最严重的侵袭模式:综合临床、病理和多模态非线性光学成像的见解。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-10-31 DOI: 10.1016/j.labinv.2025.104257
Yu-Wen Huang , Ying-Ju Kuo , Ming-Chi Chen , Jackson Rodrigues , Tsung-Lun Lee , Chia-Fan Chang , Yen-Bin Hsu , Pen-Yuan Chu , Shyh-Kuan Tai , Guan-Yu Zhuo , Muh-Hwa Yang
Worst pattern of invasion-5 (WPOI-5) in oral cavity squamous cell carcinoma (OCSCC) is associated with aggressive disease behavior and worse prognosis. This study integrated clinical data analysis with multimodal nonlinear optical (MNLO) microscopy to investigate the prognostic implications and tumor microenvironment (TME) characteristics of WPOI-5 in OCSCC. Clinical data from 263 OCSCC patients were analyzed for overall survival and relapse-free survival (RFS). E-cadherin and N-cadherin expression levels were investigated in the epithelium at the tumor invasion front and within WPOI-5 regions. MNLO microscopy, combining second harmonic generation (SHG), third harmonic generation, and 2-photon fluorescence, was used to visualize and quantify structural changes in the TME associated with WPOI-5. Polarization-resolved SHG was used to investigate collagen cross-linking and remodeling. WPOI-5 was significantly associated with unfavorable overall survival and RFS in the univariate analysis and remained an independent predictor of poor RFS in multivariate analysis. Compared with the tumor invasion front, WPOI-5 exhibited reduced E-cadherin and enhanced N-cadherin expression, a hallmark of epithelial-to-mesenchymal transition, suggesting enhanced invasiveness and metastatic potential because of reduced intercellular adhesions. MNLO imaging revealed distinct TME structural organization between WPOI-5(+) and WPOI-5(−) samples, including differences in collagen fiber structure, orientation, and epithelial-to-mesenchymal transition–associated features at the tumor invasion front. Polarization-resolved SHG imaging further demonstrated increased collagen cross-linking and remodeling, as well as the perpendicular alignment of collagen fibers to the tumor boundary in WPOI-5(+) samples. This integrated approach provides preliminary evidence for the prognostic significance of WPOI-5 and offers proof-of-concept mechanistic insights into its role in OCSCC progression, offering a basis for future validation studies toward improved risk stratification and potential therapeutic targeting.
口腔鳞状细胞癌(OCSCC)的最坏浸润模式-5 (WPOI-5)与侵袭性疾病行为和较差的预后相关。本研究将临床数据分析与多模态非线性光学显微镜(MNLO)相结合,探讨WPOI-5在OCSCC中的预后意义和肿瘤微环境(TME)特征。对263例OCSCC患者的临床数据进行了总生存期(OS)和无复发生存期(RFS)分析。研究肿瘤侵袭前沿上皮和WPOI-5区E-和N-cadherin的表达水平。MNLO显微镜,结合二次谐波(SHG),三次谐波(THG)和双光子荧光(TPF),用于可视化和量化与WPOI-5相关的TME结构变化。偏振分辨SHG (P-SHG)用于研究胶原交联和重塑。在单因素分析中,WPOI-5与不良的OS和RFS显著相关,在多因素分析中,WPOI-5仍然是不良RFS的独立预测因子。与肿瘤侵袭前沿相比,WPOI-5表现出E-cadherin和N-cadherin表达的减少,这是上皮细胞向间质转化(EMT)的标志,表明由于细胞间粘连减少,侵袭性和转移潜力增强。MNLO成像显示WPOI-5-(+)和WPOI-5-(-)样品之间的TME结构组织不同,包括胶原纤维结构、取向和肿瘤侵袭前沿emt相关特征的差异。P-SHG成像进一步显示WPOI-5-(+)样品中胶原交联和重塑增加,胶原纤维与肿瘤边界垂直排列。这种综合方法为WPOI-5的预后意义提供了初步证据,并为其在OCSCC进展中的作用提供了概念验证机制见解,为未来针对改善风险分层和潜在治疗靶向的验证研究提供了基础。
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引用次数: 0
Spatiotemporal Proteomics: Unveiling Evolving Molecular Landscapes in Inflammatory Bowel Disease and Associated Colorectal Cancer 时空蛋白质组学:揭示炎症性肠病和相关结直肠癌的进化分子景观。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-10-31 DOI: 10.1016/j.labinv.2025.104256
Pengfei Zhang , Xiaohua Tang , Francis Atim Akanyibah , Suping Du , Fei Mao
Spatiotemporal proteomics, as a vital component of spatiotemporal omics, possesses the capability to conduct large-scale screening and analysis of protein molecules across different spatial and temporal dimensions under various physiological or pathological conditions. This enables a precise and visualizable landscape of molecular distribution and expression changes. This technology is progressively becoming the most cutting-edge and effective tool in research on various diseases, including inflammatory bowel disease (IBD) and its associated colorectal cancer (CRC). Digital spatial profilers, imaging mass spectrometry, and imaging mass cytology have become widely adopted spatiotemporal proteomics technologies in IBD and CRC research due to their advantages of high-throughput, high-specificity, and single-cell resolution. In IBD research, these techniques not only help analyze the changes in protein distribution within intrinsic muscle layer cells, intestinal epithelial cells, and immune cells but also help examine the distribution and expression differences within the gut microbiota. In CRC research, spatiotemporal proteomics primarily focuses on molecular dynamic changes occurring across different stages of CRC (initiation, progression, and metastasis), including cellular distribution and differential expression of relevant molecules within the peritumoral region and alterations in the distribution of protein molecules across cellular compartments. Moreover, the translational applications of spatiotemporal proteomics warrant equal attention. These extend beyond screening traditional molecular therapeutic targets to encompass the development of precision therapies and adjunctive treatments (hyperbaric oxygen therapy, kinesitherapy, and controlled location and timing of medication). This review summarized the strengths and limitations of spatiotemporal proteomics technologies widely applied in IBD and CRC; described the spatial and temporal landscapes revealed by these techniques, elucidating their applications in diagnosis, treatment, and prognosis; and finally outlined the feasible directions for future optimization and advancement of spatiotemporal proteomics.
时空蛋白质组学作为时空组学的重要组成部分,具有在各种生理或病理条件下对不同时空维度的蛋白质分子进行大规模筛选和分析的能力。这使得分子分布和表达变化的精确和可视化景观成为可能。这项技术正逐渐成为研究各种疾病,包括炎症性肠病(IBD)及其相关结直肠癌(CRC)的最尖端和最有效的工具。数字空间谱仪、成像质谱和成像质团细胞学由于其高通量、高特异性和单细胞分辨率的优势,已成为IBD和CRC研究中广泛采用的时空蛋白质组学技术。在IBD研究中,这些技术不仅有助于分析内在肌层细胞、肠上皮细胞和免疫细胞内蛋白质分布的变化,而且还可以检查肠道微生物群内的分布和表达差异。在结直肠癌研究中,时空蛋白质组学主要关注结直肠癌不同阶段(起始、进展、转移)发生的分子动力学变化,包括瘤周区域内相关分子的细胞分布和差异表达,以及细胞间区蛋白分子分布的变化。此外,STP的翻译应用同样值得关注。这些突破了传统分子治疗靶点的筛选,涵盖了精确治疗和辅助治疗(高压氧治疗、运动疗法和控制用药位置和时间)的发展。本文综述了时空蛋白质组学技术在IBD和CRC中广泛应用的优势和局限性,描述了时空蛋白质组学技术揭示的时空景观,阐述了时空蛋白质组学技术在诊断、治疗和预后方面的应用,并概述了时空蛋白质组学技术未来优化和发展的可行方向。
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引用次数: 0
Unbiased DNA Pathogen Detection in Tissues: Real-World Experience With Metagenomic Sequencing in Pathology 组织中无偏DNA病原体检测:病理学中宏基因组测序的真实世界经验。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-10-29 DOI: 10.1016/j.labinv.2025.104254
Baptiste Hamelin , Salome Hosch , Claudio Neidhöfer , Marie-Thérèse Ruf , Jasmin D. Haslbauer , Christopher M. Field , Pascal Schläpfer , Massimiliano Manzo , Andreas Neumayr , Esther Kuenzli , Maria Mancuso , Melanie Sachs , Nadine Mensah , Regula Bernhard , Barbara Klaus-Wirthner , Maura Concu , Ronny Nienhold , Richard Kuehl , Veronika Baettig , Maja Weisser-Rohacek , Kirsten D. Mertz
Pathogen detection in formalin-fixed paraffin-embedded (FFPE) tissue remains challenging. We implemented metagenomic next-generation sequencing (mNGS) in our clinical diagnostic workflow to evaluate its feasibility, diagnostic yield, and pathogen spectrum in routine infectious pathology cases. Between November 2021 and April 2025, we analyzed 623 FFPE tissue samples using a low-depth mNGS workflow on the Thermo Fisher Ion Torrent platform with a CLC Genomics Workbench (Qiagen) bioinformatics pipeline. Our assay was designed to detect DNA pathogens. When possible, results were validated by orthogonal methods, including species-specific PCRs, 16S/internal transcribed spacer PCR, and immunohistochemistry on tissue sections. Among 623 samples analyzed, at least 1 potentially pathogenic and plausible microorganism was identified in 229 samples (36.8%), whereas 334 (53.6%) were negative and 60 (9.6%) were uninterpretable due to quality control failures or suspected contamination. Of the 229 positive samples, 145 (63.3%) involved bacteria, 37 (16.2%) viruses, 28 (12.2%) fungi, and 9 (3.9%) parasites; mixed infections with >1 pathogen were detected in 10 (4.4%) samples. The most frequently identified bacterial family was Mycobacteriaceae (n = 27), including Mycobacterium xenopi (n = 8), which is not routinely covered by syndromic multiplex PCR panels. Notable viral and fungal detections included a novel human circovirus and Coccidioides posadasii. Despite variable sample quality and DNA input, mNGS yielded reliable results in a wide range of tissue types. mNGS is a feasible, valuable addition to routine infectious pathology diagnostics, particularly in complex or inconclusive cases. The assay improved the diagnostic yield compared with conventional PCR, expanded the range of detectable pathogens, and proved robust even in low-quality FFPE samples. These results support broader adoption of mNGS in tissue-based pathogen diagnostics.
福尔马林固定石蜡包埋(FFPE)组织中的病原体检测仍然具有挑战性。我们在临床诊断工作流程中实施了新一代宏基因组测序(mNGS),以评估其在常规感染病理病例中的可行性、诊断率和病原体谱。在2021年11月至2025年4月期间,我们使用Thermo Fisher Ion Torrent平台上的低深度mNGS工作流程和CLC Genomics Workbench生物信息学管道分析了623个FFPE组织样本。我们的试验设计用于检测DNA病原体。在可能的情况下,通过正交方法验证结果,包括物种特异性PCR, 16S/ITS PCR和组织切片的免疫组织化学。在分析的623份样品中,229份(36.8%)样品中至少鉴定出一种潜在致病性和似是而非的微生物,334份(53.6%)样品为阴性,60份(9.6%)样品由于质量控制失败或疑似污染而无法解释。229份阳性标本中,细菌145份(63.3%),病毒37份(16.2%),真菌28份(12.2%),寄生虫9份(3.9%);在10份(4.4%)样本中检出一种以上病原菌的混合感染。最常发现的细菌家族是分枝杆菌科(n=27),包括xenopi分枝杆菌(n=8),该分支杆菌通常未被综合征多重PCR检测覆盖。值得注意的病毒和真菌检测包括一种新的人类圆环病毒和波萨达球螨。尽管样品质量和DNA输入不同,但mNGS在广泛的组织类型中产生了可靠的结果。宏基因组NGS是常规感染病理学诊断的一种可行的、有价值的补充,特别是在复杂或不确定的病例中。与传统PCR相比,该方法提高了诊断率,扩大了可检测病原体的范围,并且即使在低质量的FFPE样品中也证明了其可靠性。这些结果支持在基于组织的病原体诊断中更广泛地采用mNGS。
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引用次数: 0
Toward the Best Generalizable Performance of Machine Learning in Modeling Omic and Clinical Data 机器学习在组学和临床数据建模方面的最佳推广性能。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-10-15 DOI: 10.1016/j.labinv.2025.104253
Fei Deng , Yongfeng Zhang , Lanjing Zhang
There are often performance differences between intra-data set and cross-data set tests in machine learning (ML) modeling. However, reducing these differences may reduce ML performance. It is thus a challenging dilemma for developing models that excel in intra-data set testing and are generalizable to cross-data set testing. Therefore, we aimed to understand and improve the performance and generalizability of ML in intra-data set and cross-data set testing. We evaluated 4200 ML models of classifying lung adenocarcinoma deaths using The Cancer Genome Atlas (n = 286) and Oncogenomic-Singapore (n = 167) data sets and 1680 models of classifying glioblastoma deaths using The Cancer Genome Atlas (n = 151) and Clinical Proteomic Tumor Analysis Consortium (n = 97) data sets. After examining performance distributions of these ML models, we applied a dual analytical framework, including statistical analyses and SHapley Additive exPlanations–based meta-analysis, to quantify factors’ importance and trace model success back to design principles. We also developed a framework to identify the best generalizable model. Strikingly, the Jarque-Bera test revealed significant deviations of model performances from normality in both cancer types and testing contexts. Simple linear models with sparse feature sets consistently dominated in lung adenocarcinoma experiments, whereas nonlinear models dominated in glioblastoma ones, suggesting that the best modeling strategy appears to be cancer type/disease dependent. Importantly, both robust analysis of variance and Kruskal-Wallis tests consistently identified differentially expressed genes as one of the most influential factors in both cancer types. The proposed multicriteria framework successfully identified the model that achieved both the best cross-data set performance and similar intra-data set performance. In summary, ML performance distributions significantly deviated from normality, which motivates using both robust parametric and nonparametric statistical tests. We quantified and provided possible exploitability on the factors associated with cross-data set performances and generalizability of ML models in 2 cancer types. A multicriteria framework was developed and validated to identify the models that are accurate and consistently robust across data sets.
在机器学习(ML)建模中,数据集内测试和跨数据集测试之间通常存在性能差异。然而,减少这些差异可能会降低机器学习的性能。因此,开发在数据集内部测试中表现出色并可推广到跨数据集测试的模型是一个具有挑战性的困境。因此,我们的目标是理解和提高机器学习在数据集内和跨数据集测试中的性能和可泛化性。我们使用the Cancer Genome Atlas (TCGA, n=286)和oncogenome - singapore (OncoSG, n=167)数据集评估了4200 ML肺腺癌(LUAD)死亡分类模型,以及使用TCGA (n=151)和临床蛋白质组学肿瘤分析联盟(CPTAC, n=97)数据集评估了1680个胶质母细胞瘤死亡分类模型。在检查了这些机器学习模型的性能分布后,我们应用了双重分析框架,包括统计分析和基于SHapley Additive explations的元分析,来量化因素的重要性,并将模型的成功追溯到设计原则。我们还开发了一个框架来确定最佳的可推广模型。引人注目的是,Jarque-Bera测试揭示了在癌症类型和测试环境下,模型性能与正常情况的显著偏差。具有稀疏特征集的简单线性模型在LUAD实验中始终占主导地位,而非线性模型在胶质母细胞瘤实验中占主导地位,这表明最佳建模策略似乎依赖于癌症类型/疾病。重要的是,稳健的方差分析(ANOVA)和Kruskal-Wallis测试一致地确定差异表达基因是两种癌症类型中最具影响力的因素之一。所提出的多准则框架成功地识别出具有最佳跨数据集性能和相似数据集性能的模型。总之,机器学习性能分布明显偏离正态性,这促使我们使用鲁棒参数和非参数统计检验。我们量化并提供了与两种癌症类型的ML模型的跨数据集性能和泛化性相关的因素的可能利用。开发并验证了一个多标准框架,以确定准确且始终可靠的跨数据集模型。
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引用次数: 0
Stain-Free Characterization of Membranous Glomerulonephritis via Fourier Ptychographic Microscopy 膜性肾小球肾炎的傅立叶显微染色特征。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-10-13 DOI: 10.1016/j.labinv.2025.104251
Marika Valentino , Vittorio Bianco , Gioacchino D’Ambrosio , Marco Paulli , Giovanni Smaldone , Valentina Brancato , Lisa Miccio , Marco Salvatore , Marcello Gambacorta , Pietro Ferraro
Histology remains a cornerstone in diagnosis and prognosis of renal diseases. Histopathological analysis of kidney tissue is crucial for understanding renal pathophysiology. The availability of multiple stained sections is essential for conducting comprehensive histopathological analysis and achieving accurate diagnosis. Fourier ptychographic microscopy (FPM) has emerged as a promising microscopy technique. The ability to provide high-resolution, quantitative phase-contrast images over a wide area, particularly in a stain-free mode, makes FPM highly appealing to experts in histopathology. As renal pathologies are characterized by subtle morphologic changes encoded in tissue slides, phase maps obtained using FPM are well suited for providing detailed, high-contrast images of tissue structures. FPM provides a quantitative imaging tool that can be descriptive of the sample and/or expressive of the disease. Here, we explored FPM capability to image pathological kidney tissue, enabling pathologists to select regions of interest within the intricate architecture of renal tissue and zoom in to observe minute submicron structures, ranging from overall tissue organization and glomeruli distribution to individual basal membranes. Membranous glomerulonephritis (MG) was focused on because of its high dependence on histologic examination. We extracted descriptive features able to discriminate between healthy kidney tissues and those affected by MG. Moreover, FPM phase-contrast images allowed observing in detail the glomerular basal membranes and measuring the differences in lateral thickness with respect to healthy specimens. This is because of better glomerular membranes contrast in FPM images with respect to the hematoxylin-and-eosin–stained images. Our study shows the broad potential of FPM in characterizing hallmarks of MG disease even in stain-free tissue slides.
组织学仍然是肾脏疾病诊断和预后的基础。肾脏组织病理分析是了解肾脏病理生理的关键。多重染色切片的可用性对于进行全面的组织病理学分析和实现准确诊断至关重要。傅里叶显微术(FPM)是一种很有前途的显微技术。FPM能够在大范围内提供高分辨率、定量的相衬图像,特别是在无染色模式下,这使得FPM对组织病理学专家非常有吸引力。由于肾脏病理的特点是组织载玻片中编码的细微形态变化,因此使用FPM获得的相图非常适合提供详细的、高对比度的组织结构图像。FPM提供了一种定量成像工具,可以描述样本和/或表达疾病。在这里,我们探索FPM成像病理肾组织的能力,使病理学家能够在复杂的肾组织结构中选择感兴趣的区域,并放大观察微小的亚微米结构,从整体组织和肾小球分布到单个基底膜。膜性肾小球肾炎(MG)是一种高度依赖于组织学检查的肾病。我们提取能够区分健康肾脏组织和受MG影响的肾脏组织的描述性特征。此外,FPM期图像可以详细观察肾小球基底膜,并测量相对于健康标本的侧壁厚度差异。这是由于FPM图像与h&e染色图像相比有更好的肾小球膜对比。我们的研究表明,FPM在无染色组织载玻片中表征MG疾病特征方面具有广阔的潜力。
{"title":"Stain-Free Characterization of Membranous Glomerulonephritis via Fourier Ptychographic Microscopy","authors":"Marika Valentino ,&nbsp;Vittorio Bianco ,&nbsp;Gioacchino D’Ambrosio ,&nbsp;Marco Paulli ,&nbsp;Giovanni Smaldone ,&nbsp;Valentina Brancato ,&nbsp;Lisa Miccio ,&nbsp;Marco Salvatore ,&nbsp;Marcello Gambacorta ,&nbsp;Pietro Ferraro","doi":"10.1016/j.labinv.2025.104251","DOIUrl":"10.1016/j.labinv.2025.104251","url":null,"abstract":"<div><div>Histology remains a cornerstone in diagnosis and prognosis of renal diseases. Histopathological analysis of kidney tissue is crucial for understanding renal pathophysiology. The availability of multiple stained sections is essential for conducting comprehensive histopathological analysis and achieving accurate diagnosis. Fourier ptychographic microscopy (FPM) has emerged as a promising microscopy technique. The ability to provide high-resolution, quantitative phase-contrast images over a wide area, particularly in a stain-free mode, makes FPM highly appealing to experts in histopathology. As renal pathologies are characterized by subtle morphologic changes encoded in tissue slides, phase maps obtained using FPM are well suited for providing detailed, high-contrast images of tissue structures. FPM provides a quantitative imaging tool that can be descriptive of the sample and/or expressive of the disease. Here, we explored FPM capability to image pathological kidney tissue, enabling pathologists to select regions of interest within the intricate architecture of renal tissue and zoom in to observe minute submicron structures, ranging from overall tissue organization and glomeruli distribution to individual basal membranes. Membranous glomerulonephritis (MG) was focused on because of its high dependence on histologic examination. We extracted descriptive features able to discriminate between healthy kidney tissues and those affected by MG. Moreover, FPM phase-contrast images allowed observing in detail the glomerular basal membranes and measuring the differences in lateral thickness with respect to healthy specimens. This is because of better glomerular membranes contrast in FPM images with respect to the hematoxylin-and-eosin–stained images. Our study shows the broad potential of FPM in characterizing hallmarks of MG disease even in stain-free tissue slides.</div></div>","PeriodicalId":17930,"journal":{"name":"Laboratory Investigation","volume":"105 12","pages":"Article 104251"},"PeriodicalIF":4.2,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145301574","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
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 : 2025-10-13 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。
{"title":"Artificial Intelligence–Powered Spatial Analysis of the Tumor Microenvironment in Pulmonary Lymphoepithelial Carcinoma","authors":"Haohua Teng ,&nbsp;Yueyuxiao Yang ,&nbsp;Chan Xiang ,&nbsp;Jikai Zhao ,&nbsp;Zhanxian Shang ,&nbsp;Qian Zhu ,&nbsp;Lianying Guo ,&nbsp;Qiushun He ,&nbsp;Meng Yang ,&nbsp;Yuchen Han","doi":"10.1016/j.labinv.2025.104252","DOIUrl":"10.1016/j.labinv.2025.104252","url":null,"abstract":"<div><div>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&amp;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&amp;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&amp;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<sup>+</sup> tumor cells and FOXP3<sup>+</sup> regulatory T cells could stratify prognosis in patients with pLEC.</div></div>","PeriodicalId":17930,"journal":{"name":"Laboratory Investigation","volume":"105 12","pages":"Article 104252"},"PeriodicalIF":4.2,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145301614","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
Glycolysis Inhibition Restores Immune Sensitivity in GSNOR–Deficient Colorectal Cancer 糖酵解抑制可恢复gsnorn缺陷结直肠癌的免疫敏感性。
IF 4.2 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2025-10-11 DOI: 10.1016/j.labinv.2025.104250
Ana Mantrana , María Teresa Sánchez-Montero , Carmen Navarrete-Sirvent , Nerea Herrera-Casanova , Rafael Mena-Osuna , Aurora Rivas-Crespo , Alejandra Díaz-Chacón , Virginia Ávila-Oca , Marta Toledano-Fonseca , María Victoria García-Ortíz , Rafael González-Fernández , María Auxiliadora Gómez-España , Carlos Villar , Francisco Javier Medina-Fernández , Enrique Aranda , Silvia Guil-Luna , Antonio Rodríguez-Ariza
S-nitrosoglutathione reductase (GSNOR) is increasingly recognized as a tumor suppressor, and we have recently reported that its deficiency drives an aggressive and immune-evasive phenotype in colorectal cancer (CRC). However, the mechanisms linking GSNOR loss to immune escape remain incompletely understood. In this study, we uncover a previously unrecognized connection between metabolic reprogramming and immune escape in GSNOR-deficient CRC and identify a therapeutic vulnerability that can be exploited to restore immune responsiveness. A comprehensive analysis of 137 clinical CRC samples revealed that GSNOR-deficient tumors exhibit high-grade tumor budding, an established marker of poor prognosis, and reduced CD4+ and CD8+ T-cell infiltration, consistent with an immunosuppressive tumor microenvironment. Integrating transcriptomic, immunohistochemical, and single–cell RNA-sequencing data, we demonstrate that GSNOR-deficient tumors undergo a striking metabolic reprogramming toward glycolytic dependence, with elevated lactate production contributing to T-cell exclusion. Based on these findings, we show that pharmacologic glycolysis inhibition with 2-deoxyglucose reverses immune resistance in GSNOR-knockout models, enhancing CD8+ T-cell infiltration and sensitizing tumors to anti–PD-1 therapy both in vitro and in vivo. Notably, this is the first demonstration that metabolic intervention can restore immune sensitivity in GSNOR-deficient CRC. Our results identify GSNOR expression as a predictive biomarker for metabolic-immune combinatorial strategies and support the clinical translation of 2-deoxyglucose plus anti–PD-1 as a precision immunotherapy approach for this high-risk CRC phenotype.
s -亚硝基谷胱甘肽还原酶(GSNOR)越来越被认为是一种肿瘤抑制因子,我们最近报道了它的缺乏导致结直肠癌(CRC)的侵袭性和免疫逃避表型。然而,将GSNOR丢失与免疫逃逸联系起来的机制仍然不完全清楚。在这项研究中,我们揭示了gsnorr缺陷CRC中代谢重编程和免疫逃逸之间先前未被认识到的联系,并确定了一种可用于恢复免疫反应性的治疗脆弱性。对137例临床CRC样本的综合分析显示,gsnorr缺陷肿瘤表现为高级别肿瘤出芽,这是一种预后不良的标志,CD4+和CD8+ t细胞浸润减少,与免疫抑制肿瘤微环境一致。综合转录组学、免疫组织化学和单细胞RNA-seq数据,我们证明了gsnorr缺陷肿瘤经历了惊人的代谢重编程,导致糖酵解依赖,乳酸产量升高导致t细胞排斥。基于这些发现,我们发现2-脱氧葡萄糖(2-DG)的药理学糖酵解抑制逆转了gsnoro - ko模型的免疫抵抗,增强了CD8+ t细胞的浸润,并使肿瘤对抗pd -1治疗增敏。值得注意的是,这是首次证明代谢干预可以恢复gsnorr缺陷CRC的免疫敏感性。我们的研究结果确定GSNOR表达作为代谢-免疫组合策略的预测性生物标志物,并支持2-DG加抗pd -1的临床翻译作为这种高风险CRC表型的精确免疫治疗方法。
{"title":"Glycolysis Inhibition Restores Immune Sensitivity in GSNOR–Deficient Colorectal Cancer","authors":"Ana Mantrana ,&nbsp;María Teresa Sánchez-Montero ,&nbsp;Carmen Navarrete-Sirvent ,&nbsp;Nerea Herrera-Casanova ,&nbsp;Rafael Mena-Osuna ,&nbsp;Aurora Rivas-Crespo ,&nbsp;Alejandra Díaz-Chacón ,&nbsp;Virginia Ávila-Oca ,&nbsp;Marta Toledano-Fonseca ,&nbsp;María Victoria García-Ortíz ,&nbsp;Rafael González-Fernández ,&nbsp;María Auxiliadora Gómez-España ,&nbsp;Carlos Villar ,&nbsp;Francisco Javier Medina-Fernández ,&nbsp;Enrique Aranda ,&nbsp;Silvia Guil-Luna ,&nbsp;Antonio Rodríguez-Ariza","doi":"10.1016/j.labinv.2025.104250","DOIUrl":"10.1016/j.labinv.2025.104250","url":null,"abstract":"<div><div>S-nitrosoglutathione reductase (GSNOR) is increasingly recognized as a tumor suppressor, and we have recently reported that its deficiency drives an aggressive and immune-evasive phenotype in colorectal cancer (CRC). However, the mechanisms linking GSNOR loss to immune escape remain incompletely understood. In this study, we uncover a previously unrecognized connection between metabolic reprogramming and immune escape in GSNOR-deficient CRC and identify a therapeutic vulnerability that can be exploited to restore immune responsiveness. A comprehensive analysis of 137 clinical CRC samples revealed that GSNOR-deficient tumors exhibit high-grade tumor budding, an established marker of poor prognosis, and reduced CD4<sup>+</sup> and CD8<sup>+</sup> T-cell infiltration, consistent with an immunosuppressive tumor microenvironment. Integrating transcriptomic, immunohistochemical, and single–cell RNA-sequencing data, we demonstrate that GSNOR-deficient tumors undergo a striking metabolic reprogramming toward glycolytic dependence, with elevated lactate production contributing to T-cell exclusion. Based on these findings, we show that pharmacologic glycolysis inhibition with 2-deoxyglucose reverses immune resistance in GSNOR-knockout models, enhancing CD8<sup>+</sup> T-cell infiltration and sensitizing tumors to anti–PD-1 therapy both in vitro and in vivo. Notably, this is the first demonstration that metabolic intervention can restore immune sensitivity in GSNOR-deficient CRC. Our results identify GSNOR expression as a predictive biomarker for metabolic-immune combinatorial strategies and support the clinical translation of 2-deoxyglucose plus anti–PD-1 as a precision immunotherapy approach for this high-risk CRC phenotype.</div></div>","PeriodicalId":17930,"journal":{"name":"Laboratory Investigation","volume":"105 12","pages":"Article 104250"},"PeriodicalIF":4.2,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145286480","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 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 : 2025-10-10 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。
{"title":"Assessing the Status of Cyclin E1 (CCNE1) From Gene to Protein Level in Ovarian and Endometrial Carcinomas: A Systematic Review","authors":"Alexis Trecourt ,&nbsp;Catherine Genestie ,&nbsp;Alexander Valent ,&nbsp;Mojgan Devouassoux-Shisheboran ,&nbsp;Etienne Rouleau ,&nbsp;Elisa Yaniz-Galende ,&nbsp;Audrey Leformal ,&nbsp;Valeria Naim ,&nbsp;Alexandra Leary","doi":"10.1016/j.labinv.2025.104249","DOIUrl":"10.1016/j.labinv.2025.104249","url":null,"abstract":"<div><div>Twenty percent and 45.4% of high-grade ovarian carcinomas (OC) and endometrial carcinomas (EC) exhibit <em>CCNE1</em> amplification (<em>CCNE1</em>-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 <em>CCNE1</em>-amp was fluorescent in situ hybridization (13/16 studies, 81.3%), with quite consensual criteria to defined amplification (ie, <em>CCNE1</em>/chromosome 19 ratio ≥2, and/or &gt;8/≥8 copies of <em>CCNE1</em> per nucleus, and/or ≥4 <em>CCNE1</em> 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 <em>CCNE1</em>-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 &gt;60% with &gt;5% of cells strongly stained. Both <em>CCNE1</em>-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, <em>CCNE1</em> messenger RNA overexpression had no prognostic value. Thus, both <em>CCNE1</em>-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.</div></div>","PeriodicalId":17930,"journal":{"name":"Laboratory Investigation","volume":"105 12","pages":"Article 104249"},"PeriodicalIF":4.2,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145280579","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}
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Laboratory Investigation
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