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Genetic profiling of mammary periductal stromal tumors with histologic correlation highlights high-grade and low-grade groups and similarities to phyllodes tumors. 乳腺导管周围间质瘤的遗传图谱与组织学相关性突出了高级别和低级别组以及与叶状肿瘤的相似性。
IF 5.5 1区 医学 Q1 PATHOLOGY Pub Date : 2026-01-12 DOI: 10.1016/j.modpat.2026.100961
Gregor Krings, Gregory R Bean, Elizabeth M Hosfield, J J Rowe, Joseph Geradts, Yunn-Yi Chen

Periductal stromal tumors of the breast (PDST) are rare biphasic neoplasms with morphologic similarities to phyllodes tumors (PT). The histologic spectrum of PDST is broad but has not been well-characterized, and their genetic underpinnings remain unknown. We profiled PDST by targeted next-generation sequencing (NGS) in correlation with their histomorphology, immunophenotype, and clinical characteristics (n=15). All patients were female, including 2 with Li-Fraumeni Syndrome, with a mean age of 48 years. Forty-two percent had synchronous or metachronous PT and/or fibroadenoma. Most PDST expressed CD34 (15/15), SMA (12/14), and at least focal nuclear HMGA2 (8/12) and/or beta-catenin (6/12). High-grade PDST (HGPDST, n=8) were defined by marked nuclear pleomorphism (8/8), and most had high (≥10 mitoses/10 HPF) and/or atypical mitotic activity (7/8) and pleomorphic multinucleated tumor cells (7/8). All HGPDST had p53 (88%, 7/8) and/or Rb/CDKN2A (75%, 6/8) alterations by NGS or immunohistochemistry. p53 aberrations correlated with the presence of pleomorphic multinucleated tumor cells. Both Li-Fraumeni Syndrome patients had HGPDST with loss-of-heterozygosity of the germline TP53 variant. Other altered genes in HGPDST included EGFR (25%, 2/8), NF1 (25%, 2/8), TERT promoter, PIK3CA, CDKN2A/B, LZTR1, KMT2B, and ARID2 (1 case each). Low-grade PDST (LGPDST), which lacked marked pleomorphism, high mitotic activity, or atypical mitoses (n=7), had simpler genomes than HGPDST and lacked bona fide cancer gene alterations, with TERT promoter mutation in 1 case. Copy number alterations in PDST overlapped with those reported in PT, including 13q loss in all HGPDST. Copy number profiling revealed shared clonality of synchronous LGPDST and PT in 1 patient. In summary, we describe herein the genetic landscape of PDST, demonstrate correlation of genetic features with high-grade versus low-grade histology, and identify TP53 among key oncogenic drivers of HGPDST, including in Li-Fraumeni Syndrome. The genetics of HGPDST overlap with borderline or malignant PT, consistent with their classification as PT variants that arise through a MED12-independent pathway.

乳腺导管周围间质瘤(PDST)是一种罕见的双相肿瘤,其形态与叶状瘤(PT)相似。PDST的组织学范围很广,但尚未很好地表征,其遗传基础仍然未知。我们通过靶向下一代测序(NGS)分析了PDST与组织形态学、免疫表型和临床特征的相关性(n=15)。所有患者均为女性,其中2例为Li-Fraumeni综合征,平均年龄48岁。42%为同步或异时性PT和/或纤维腺瘤。大多数PDST表达CD34 (15/15), SMA(12/14),以及至少局灶核HMGA2(8/12)和/或β -catenin(6/12)。高级别PDST (HGPDST, n=8)以明显的核多形性(8/8)定义,大多数具有高(≥10个有丝分裂/10个HPF)和/或非典型有丝分裂活性(7/8)和多形性多核肿瘤细胞(7/8)。所有HGPDST均有p53(88%, 7/8)和/或Rb/CDKN2A(75%, 6/8)的NGS或免疫组化改变。P53异常与多形性多核肿瘤细胞的存在相关。两例Li-Fraumeni综合征患者均有HGPDST伴种系TP53变异杂合性缺失。HGPDST中其他改变的基因包括EGFR(25%, 2/8)、NF1(25%, 2/8)、TERT启动子、PIK3CA、CDKN2A/B、LZTR1、KMT2B和ARID2(各1例)。低级别PDST (LGPDST)缺乏明显的多型性、高有丝分裂活性或非典型有丝分裂(n=7),其基因组比HGPDST更简单,缺乏真正的癌症基因改变,其中1例发生TERT启动子突变。PDST中拷贝数的改变与PT中报告的重叠,包括所有HGPDST中13q的缺失。拷贝数分析显示1例患者的同步LGPDST和PT具有相同的克隆性。总之,我们在此描述了PDST的遗传景观,证明了遗传特征与高级别和低级别组织学的相关性,并确定了TP53是HGPDST的关键致癌驱动因素,包括Li-Fraumeni综合征。HGPDST的遗传学与交界性或恶性PT重叠,这与它们通过med12独立通路产生的PT变异分类一致。
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引用次数: 0
Spatial Molecular Plasticity Underpins Lethal Morphologies in Lung Adenocarcinoma. 空间分子可塑性是肺腺癌致死形态学的基础。
IF 5.5 1区 医学 Q1 PATHOLOGY Pub Date : 2026-01-09 DOI: 10.1016/j.modpat.2026.100960
Hannah L Williams, Nicolas Poulain, Ian Powley, Silvia Martinelli, Robert Bielik, Holly Leslie, Colin Nixon, Claire R Wilson, Marco Sereno, Zhangyi He, Leah Officer-Jones, Fiona Ballantyne, Rachel Pennie, Colin S Wood, David Y Lewis, Nigel B Jamieson, John Le Quesne

Adenocarcinoma of the lung (LUAD) is common and highly lethal. Clinical grading of LUAD strongly predicts recurrence and survival after surgery and is determined by morphological assessment of histological growth patterns in resected tumours. In particular, the two archetypally lethal morphologies, solid and micropapillary growth patterns, are highly distinct from each other but little is known about their defining molecular features, or how their appearances are related to their biology and mechanisms of lethality. Pure epithelial growth patterns and subregions were identified within 7 distinct LUAD growth patterns across 51 resected tumours and characterised using NanoString GeoMx Digital Spatial Profiler (DSP) in 160 epithelially pure regions of interest. Results were validated in 27 cases at the protein level using Akoya PhenoImager multiplex immunofluorescence, in 432 cases at the RNA level with Tempo-Seq and in 30 cases with independent GeoMx DSP. Analyses of gene expression reveal fundamental divergent evolutionary trajectories leading to solid and micropapillary growth. Additionally, we identify recurrent localised intratumoral plasticity in both growth patterns. These states can explain the origins of growth pattern and their mechanisms of virulence. Our work highlights dramatic divergence in gene expression programmes between highly lethal modes of LUAD tumour growth. We go on to show how microscopically localised hypoxia in the primary tumour helps to establish and maintain cellular survival strategies and tumour architecture suggesting morphology-specific mechanisms of LUAD tumour metastasis, and suggesting new therapeutic vulnerabilities.

肺腺癌(LUAD)是一种常见且高致死率的疾病。LUAD的临床分级强烈预测手术后的复发和生存,并通过对切除肿瘤的组织学生长模式的形态学评估来确定。特别是,两种典型的致死性形态,实体和微乳头状生长模式,彼此非常不同,但对它们的定义分子特征,或它们的外观如何与它们的生物学和致死性机制相关知之甚少。在51个切除的肿瘤中,在7种不同的LUAD生长模式中鉴定出纯上皮生长模式和亚区,并在160个感兴趣的上皮纯区域中使用NanoString GeoMx数字空间分析器(DSP)进行表征。使用Akoya PhenoImager多重免疫荧光在蛋白水平上验证了27例,使用Tempo-Seq在RNA水平上验证了432例,使用独立的GeoMx DSP在30例中验证了结果。基因表达的分析揭示了导致固体和微乳头状生长的基本不同的进化轨迹。此外,我们在两种生长模式中都发现了复发的局部肿瘤内可塑性。这些状态可以解释生长模式的起源及其毒力机制。我们的工作强调了LUAD肿瘤生长的高致死性模式之间基因表达程序的显著差异。我们继续展示原发肿瘤中显微镜下的局部缺氧如何帮助建立和维持细胞生存策略和肿瘤结构,这表明LUAD肿瘤转移的形态特异性机制,并提出新的治疗脆弱性。
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引用次数: 0
Biomarkers Informed by Single-Cell and Spatial Transcriptomics - Biomarkers for Grade 3 Follicular Lymphoma. 单细胞和空间转录组学的生物标志物- 3级滤泡性淋巴瘤的生物标志物。
IF 5.5 1区 医学 Q1 PATHOLOGY Pub Date : 2026-01-09 DOI: 10.1016/j.modpat.2026.100958
Aarti Kanzaria, Sonali Arora, Anisha Naik, Nisha Dhanushkodi, Chia-Chen Ho, Navneet Kaur, Jerry Zhang, Xiaobing Ren, Jonathan R Fromm, Mazyar Shadman, Stephen Smith, Ajay Gopal, Giovanna Roncador, Eric Holland, Kikkeri N Naresh

Follicular lymphoma (FL) patients have variable outcomes, underscoring the need for biomarkers for improved risk stratification. Current FL grading systems, based on subjective centroblast counts, suffer from poor reproducibility, despite evidence linking grade 3 FL to worse prognosis. We aimed to identify objective biomarkers for centroblasts and centrocytes to improve FL prognostication. We reanalyzed publicly available spatial and single-cell transcriptomic data from normal germinal centers (GCs) and FL samples. Reanalysis revealed distinct gene expression profiles: AICDA (AID) and CXCR4 highly expressed in GC dark zone cells (centroblasts), and CD40 and TFRC (CD71) in light zone cells (centrocytes). Single-cell RNA sequencing of FL samples further showed AID and CXCR4 overexpression in malignant Grade 3A cells and CD40 and CD71 in grade 1-2 cells. We validated these findings using immunohistochemistry (IHC) (single and multiplex) on tonsils and 59 FL specimens (42 Grade 1-2, 17 Grade 3). Grade 3 FL showed significantly higher expression of AID, CD71, and Ki67 compared to grade 1-2; with CXCR4 approaching significance. Receiver operating characteristic (ROC) curve analysis identified optimal cut-offs for AID (1.54%), CXCR4 (21.9%), Ki67 (21.6%), and CD71 (7.57%) to distinguish grade 3 from grade 1-2 FL, with AID showing the best discriminatory ability. Crucially, AID expression evaluation showed reproducibility across two different digital algorithms and two independent visual observers. Furthermore, we observed a trend toward shorter disease-specific survival (DSS) in patients with both FL grade 3 and high AID expression. This prognostic observation held true regardless of whether AID overexpression was assessed via digital evaluation (cut-off: 1.54%) or visual estimation (cut-off: 2%). In conclusion, AID, CXCR4, CD71, and Ki67 are promising biomarkers for objectively identifying FL grade 3, potentially enhancing the reproducibility of grading and serving as independent prognostic tools. Further clinical validation in uniformly treated FL cohorts is warranted.

滤泡性淋巴瘤(FL)患者有不同的结局,强调需要生物标志物来改善风险分层。尽管有证据表明3级FL与较差的预后有关,但目前基于主观中心细胞计数的FL分级系统的可重复性较差。我们的目的是确定成中心细胞和中心细胞的客观生物标志物,以改善FL的预后。我们重新分析了来自正常生发中心(GCs)和FL样本的公开空间和单细胞转录组数据。再分析显示了不同的基因表达谱:AICDA (AID)和CXCR4在GC暗区细胞(成中心细胞)中高表达,CD40和TFRC (CD71)在浅色区细胞(成中心细胞)中高表达。FL样本单细胞RNA测序进一步显示AID和CXCR4在3A级恶性细胞中过表达,CD40和CD71在1-2级恶性细胞中过表达。我们对扁桃体和59个FL标本(42个1-2级,17个3级)进行免疫组化(IHC)(单一和多重)验证了这些发现。3级FL中AID、CD71、Ki67的表达明显高于1-2级;与CXCR4接近显著性。受试者工作特征(ROC)曲线分析确定AID(1.54%)、CXCR4(21.9%)、Ki67(21.6%)和CD71(7.57%)区分3级和1-2级FL的最佳截止值,AID表现出最好的区分能力。至关重要的是,AID表达评估在两种不同的数字算法和两个独立的视觉观察者中显示出可重复性。此外,我们观察到FL 3级和AID高表达患者的疾病特异性生存期(DSS)都有缩短的趋势。无论通过数字评估(截止值:1.54%)还是视觉评估(截止值:2%)来评估AID过表达,这一预后观察结果都是正确的。总之,AID、CXCR4、CD71和Ki67是有前景的生物标志物,可以客观地识别FL 3级,潜在地提高分级的可重复性,并作为独立的预后工具。在统一治疗的FL队列中进一步的临床验证是有必要的。
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引用次数: 0
Corrigendum to “Aleukemic Chronic Myeloid Leukemia Without Neutrophilia and Thrombocytosis: A Report From the BCR::ABL1 Pathology Group” [Modern Pathology. 2024;37(2):100406] 《无中性粒细胞增多和血小板增多的慢性粒细胞白血病:BCR::ABL1病理组报告》的勘误表[现代病理学]. 2024;37 (2): 100406]
IF 5.5 1区 医学 Q1 PATHOLOGY Pub Date : 2026-01-09 DOI: 10.1016/j.modpat.2025.100952
Daniel Rivera , Wei Cui , Juehua Gao , Deniz Peker , Qian-Yun Zhang , Rajan Dewar , Lianqun Qiu , Sergej Konoplev , Zhihong Hu , Koji Sasaki , Aileen Y. Hu , E. Shuyu , Meng Liu , Hong Fang , Wei Wang , Guilin Tang , Jane F. Apperley , Andreas Hochhaus , Jorge E. Cortes , Joseph D. Khoury , Shimin Hu
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引用次数: 0
Utility of p53, p16, and MTAP Immunohistochemistry in Oral Epithelial Dysplasia With Concurrent Candidiasis: A Novel Pattern-based Approach. p53, p16和MTAP免疫组织化学在口腔上皮发育不良并发念珠菌病中的应用:一种新的基于模式的方法。
IF 5.5 1区 医学 Q1 PATHOLOGY Pub Date : 2026-01-09 DOI: 10.1016/j.modpat.2026.100959
Jennifer X Ji, Amr El Maghrabi, Hezhen Carl Ren, Lawrence H Lee, Sean Young, Stephen T Yip, Jinesa Moodley, Chi Lai, Hemlata Shirsat, Elan Hahn, Lien N Hoang, Johanna Mabray, Paras Patel, Gang Wang, Catherine F Poh, Tony L Ng, Yen Chen Kevin Ko

The diagnosis of oral epithelial dysplasia has a high degree of inter- and intra-observer variability. It is especially challenging to distinguish dysplasia from reactive squamous mucosa in the context of concurrent candidiasis. The accurate and timely diagnosis of dysplasia is imperative for patient outcomes, as progression to invasive squamous cell carcinoma will result in significant morbidity and mortality. The current management for patients with candidiasis is to treat with antifungals and re-biopsy if refractory. The treatment may be trialed for a few months, thus delaying appropriate treatment if underlying dysplasia is not identified. In this study, we collected cases of oral candidiasis with atypia and characterized them into molecularly defined groups using targeted next generation sequencing, fluorescence in situ hybridization, and p53, p16, and MTAP immunohistochemistry. We identify distinct molecular signature using immunohistochemical markers to capture oral dysplasia with concurrent candidiasis. We also postulate that p53 wild-type, p16 abnormal oral epithelial dysplasia cases are precursor lesions to p53 wild-type, p16 abnormal squamous cell carcinoma. In addition, we identify p53 wild-type, p16 wild-type oral epithelial dysplasia with verruciform and acanthotic features with HRAS or PIK3CA alterations as precursors to verrucous carcinoma. The proposed pattern-based p16 and p53 algorithm in our study will not only more accurately diagnose dysplasia in the context of oral candidiasis, but may also provide prognostically significant information to guide clinical management of oral dysplastic lesions.

口腔上皮发育不良的诊断具有高度的观察者之间和观察者内部的可变性。在并发念珠菌病的情况下,区分非典型增生和反应性鳞状黏膜尤其具有挑战性。准确和及时的诊断异常增生对患者的预后至关重要,因为进展为浸润性鳞状细胞癌将导致显著的发病率和死亡率。目前对念珠菌病患者的治疗是使用抗真菌药物治疗,如果难治性则重新活检。这种治疗可能需要试验几个月,因此,如果潜在的不典型增生没有被发现,就会推迟适当的治疗。在这项研究中,我们收集了口腔念珠菌病的非典型性病例,并使用靶向下一代测序,荧光原位杂交,p53, p16和MTAP免疫组织化学将其划分为分子定义组。我们使用免疫组织化学标记识别不同的分子特征,以捕获并发念珠菌病的口腔发育不良。我们还假设p53野生型、p16异常口腔上皮异常增生病例是p53野生型、p16异常鳞状细胞癌的前体病变。此外,我们发现p53野生型,p16野生型口腔上皮异常增生具有疣状和棘状特征,HRAS或PIK3CA改变是疣状癌的前体。本研究提出的基于模式的p16和p53算法不仅可以更准确地诊断口腔念珠菌病的发育不良,而且可以为指导口腔发育不良病变的临床管理提供具有预后意义的信息。
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引用次数: 0
High Grade Colorectal Adenocarcinomas with SMAD4 Deficiency. SMAD4缺乏的高级别结直肠癌。
IF 5.5 1区 医学 Q1 PATHOLOGY Pub Date : 2026-01-06 DOI: 10.1016/j.modpat.2025.100957
Yasamin Mirzabeigi, Nikunj Shah, Kayla R Schwartz, Jeffrey Duryea, Katiana S Delma, Elizabeth A Montgomery, Julio C Poveda, Oliver G McDonald

Poor prognosis has been reported for patients with SMAD4 deficient (dSMAD4) colorectal adenocarcinomas (CRCs). However, it remains unclear whether unique tumor morphologies or other advanced disease signatures might stratify those patients. To reappraise this possibility across a homogenous cohort of CRC patients with advanced-stage disease, we leveraged next generation sequencing (NGS) data to identify fifty dSMAD4 CRCs at our institution. An equal number NGS-verified SMAD4 proficient (pSMAD4) CRCs were identified in parallel, yielding a control group with similar demographics, clinicopathologic parameters, and background genetic drivers as the dSMAD4 test group. Although both groups progressed to AJCC stage IV metastatic disease at high rates (dSMAD4: 90%, pSMAD4: 86%), dSMAD4 CRC specimens were enriched with overtly high-grade (HG) mucinous and non-mucinous histomorphologies (dSMAD4: 44%; pSMAD4: 12%; p=0.0007). The HG subset drove poor prognosis in dSMAD4 CRCs, as those patients developed widely metastatic disease (p=0.0048) with short overall and progression-free survival (p≤0.0001). Metastasis of unknown primary was not uncommon for HG dSMAD4 CRCs, posing diagnostic challenges in those instances. However, all dSMAD4 CRCs retained positive immunolabeling for either CDX2 or SATB2 irrespective of grade, thereby aiding diagnosis and distinguishing the HG subset from other HG CRCs that lose these biomarkers. Our reappraisal identifies an underappreciated class of HG dSMAD4 CRCs that progresses rapidly to widely metastatic disease with a dismal prognosis. Although HG morphologies may mask CRC origins, immunohistochemistry retains diagnostic utility for dSMAD4 CRCs.

据报道,SMAD4缺陷(dSMAD4)结肠腺癌(crc)患者预后不良。然而,尚不清楚是否独特的肿瘤形态或其他晚期疾病特征可以对这些患者进行分层。为了在同质的晚期CRC患者队列中重新评估这种可能性,我们利用下一代测序(NGS)数据在我们的机构中鉴定了50个dSMAD4 CRC。同时确定了相同数量的ngs验证的SMAD4精通(pSMAD4) crc,产生了一个与dSMAD4测试组具有相似人口统计学,临床病理参数和背景遗传驱动因素的对照组。尽管两组进展为AJCC IV期转移性疾病的比例都很高(dSMAD4: 90%, pSMAD4: 86%),但dSMAD4 CRC标本富含明显高级别(HG)粘液和非粘液组织形态(dSMAD4: 44%; pSMAD4: 12%; p=0.0007)。HG亚群导致dSMAD4 crc预后不良,因为这些患者发展为广泛转移性疾病(p=0.0048),总生存期和无进展生存期较短(p≤0.0001)。未知原发转移在HG dSMAD4 crc中并不罕见,这给这些病例的诊断带来了挑战。然而,无论分级如何,所有dSMAD4 crc均保留CDX2或SATB2阳性免疫标记,从而有助于诊断并将HG亚群与失去这些生物标记的其他HG crc区分开来。我们的重新评估发现了一类未被重视的HG dSMAD4 crc,其迅速发展为广泛转移性疾病,预后不理想。虽然HG形态可能掩盖了CRC的起源,但免疫组织化学对dSMAD4 CRC仍具有诊断作用。
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引用次数: 0
Agreement Across 10 Artificial Intelligence Models in Assessing Human Epidermal Growth Factor Receptor 2 (HER2) Expression in Breast Cancer Whole-Slide Images 10种人工智能模型在评估人表皮生长因子受体2 (HER2)在乳腺癌全幻灯片图像中的表达中的一致性
IF 5.5 1区 医学 Q1 PATHOLOGY Pub Date : 2026-01-05 DOI: 10.1016/j.modpat.2025.100944
Brittany McKelvey , Pedro A. Torres-Saavedra , Jessica Li , Glenn Broeckx , Frederik Deman , Siraj Ali , Hillary S. Andrews , Salim Arslan , Meir Azulay , Santhosh Balasubramanian , J.C. Barrett , Peter Caie , Ming Chen , Daniel Cohen , Tathagata Dasgupta , Diana Fahrer , George Green , Mark Gustavson , Sarah Hersey , Ana Hidalgo-Sastre , Jeff Allen
Historically, eligibility for receiving human epidermal growth factor receptor 2 (HER2)-targeted therapies was limited to HER2-positive tumors (immunohistochemistry 3+ or in situ hybridization amplified), but recent advances in antibody-drug conjugates have expanded these criteria to include HER2-low and HER2-ultralow expression. This evolving therapeutic landscape underscores the need for precise and reproducible HER2 assessment. Digital and computational pathology tools may help address these needs, but their measurement variability must be evaluated to inform research and clinical use. We evaluated HER2 scoring variability across 10 independently developed computational pathology artificial intelligence models applied to 1124 whole-slide images from 733 patients with breast cancer. Analyses included American Society of Clinical Oncology-College of American Pathologists categorical scores (0, 1+, 2+, and 3+), H-scores, tumor cell staining percentages, and counts of total and stained invasive carcinoma cells. Agreement among models and 3 pathologists was assessed using pairwise overall percent agreement (OPA), Cohen kappa, and hierarchical clustering. Median model pairwise OPA for categorical HER2 scores was 65.1% (kappa, 0.51). Agreement was highest for HER2 3+ vs not 3+ (OPA, 97.3%; kappa, 0.86) and lowest for HER2-low cases, reflecting existing measurement challenges. For HER2 0 (negative) vs not 0 (positive) scoring, the average negative agreement was 65.3%, compared with the average positive agreement of 91.3%, suggesting more agreement in non-HER2 0 scores. H-score and cell count analyses indicated that scoring differences were more related to staining interpretation than tumor cell detection. Pathologists showed numerically higher concordance than models, but interobserver variability persisted. In exploratory analyses, sample type, staining artifacts, and heterogeneous HER2 expression appeared to be associated with discrepancies. Artificial intelligence–based HER2 scoring demonstrated high agreement in identifying HER2 3+ cases. Variability was most pronounced in borderline HER2 categories, particularly in HER2 low, underscoring the need for continued tool refinement for handling low-intensity staining. Standardized training data sets, validation frameworks, and regulatory alignment are important to improve reproducibility. Developing reference standards and benchmarking data sets is critical to evaluate performance, support regulatory decision-making, and ensure real-world applicability.
从历史上看,接受人表皮生长因子受体2 (HER2)靶向治疗的资格仅限于HER2阳性肿瘤(免疫组织化学3+或原位杂交扩增),但抗体-药物偶联物的最新进展已将这些标准扩大到包括HER2低和HER2超低表达。这种不断发展的治疗前景强调了精确和可重复的HER2评估的必要性。数字和计算病理学工具可能有助于满足这些需求,但必须评估其测量变异性,以便为研究和临床使用提供信息。我们通过10个独立开发的计算病理学人工智能模型评估了HER2评分的可变性,这些模型应用于733名乳腺癌患者的1124张全片图像。分析包括美国临床肿瘤学会-美国病理学家学会分类评分(0、1+、2+和3+)、h评分、肿瘤细胞染色百分比、浸润性癌细胞总数和染色计数。模型和3名病理学家之间的一致性采用两两总体一致性百分比(OPA)、Cohen kappa和分层聚类来评估。分类HER2评分的中位模型两两OPA为65.1% (kappa, 0.51)。HER2 3+与非3+的一致性最高(OPA, 97.3%; kappa, 0.86), HER2低病例的一致性最低,反映了现有的测量挑战。对于her20(阴性)与非0(阳性)评分,平均阴性一致性为65.3%,而平均阳性一致性为91.3%,表明非her20评分的一致性更高。h评分和细胞计数分析表明,评分差异与染色解释的关系大于肿瘤细胞检测的关系。病理学家在数字上的一致性高于模型,但观察者之间的差异仍然存在。在探索性分析中,样品类型、染色伪影和异质HER2表达似乎与差异有关。基于人工智能的HER2评分在识别HER2 3+病例方面具有很高的一致性。可变性在HER2边缘类别中最为明显,特别是在HER2低的类别中,这强调了处理低强度染色的持续改进工具的必要性。标准化的训练数据集、验证框架和法规一致性对于提高再现性非常重要。制定参考标准和基准数据集对于评估绩效、支持监管决策和确保现实世界的适用性至关重要。
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引用次数: 0
POU4F3 Plus Keratin AE1/AE3 or Pan-keratin: An Optimal Sentinel Lymph Node Protocol for Merkel Cell Carcinoma POU4F3 +角蛋白AE1/AE3或泛角蛋白:默克尔细胞癌前哨淋巴结的最佳治疗方案
IF 5.5 1区 医学 Q1 PATHOLOGY Pub Date : 2026-01-01 DOI: 10.1016/j.modpat.2025.100949
Diogo Maia-Silva , Mia S. DeSimone , Karen T. Shore , Mai P. Hoang
There is currently no standardized sentinel lymph node (SLN) immunohistochemistry (IHC) protocol for detecting Merkel cell carcinoma (MCC) metastases. A cost-effective, high-sensitivity panel could improve diagnostic accuracy and resource utilization. We evaluated 226 SLNs from 81 MCC patients using a panel of POU4F3, keratin 20, and keratin AE1/AE3 or pan-keratin. Metastasis was defined as positive staining for any of the tested IHC markers. Patients’ age ranged from 49 to 92 years (median, 73.5 years), with a male:female ratio of 1.8:1. Primary tumor sites were extremities (48.1%), head/neck (34.6%), and trunk (17.3%). SLN locations included cervical (29.6%), axillary (27%), femoral (20.8%), inguinal (9.7%), facial (7.1%), pelvic (3.1%), and epitrochlear (2.7%) sites. Metastases were identified in 102 of 226 SLNs (45%). Single-marker sensitivities were POU4F3 (96%, 98/102), keratin 20 (67%, 68/102), and keratin AE1/AE3 or pan-keratin (64%, 70/102). The most sensitive combinations were POU4F3 with keratin AE1/AE3 or pan-keratin (100% sensitivity) or POU4F3 with keratin 20 (98% sensitivity). Keratin 20 with keratin AE1/AE3 or pan-keratin was the least sensitive (74%). In 6 patients (7.4%), POU4F3 detected single metastatic cells in SLNs that were previously diagnosed at time of clinical diagnosis as negative by keratin 20 and keratin AE1/AE3 or pan-keratin panel. POU4F3 is the most sensitive individual IHC marker for detecting MCC SLN metastases. The optimal cost-effective panel is POU4F3 with keratin AE1/AE3 or pan-keratin, which achieves 100% sensitivity while reducing reliance on less effective stains. Adoption of this focused IHC panel may serve to standardize SLN evaluation for MCC and improve diagnostic accuracy and efficiency.
目前还没有标准化的前哨淋巴结(SLN)免疫组织化学(IHC)检测默克尔细胞癌(MCC)转移的方案。成本效益高、灵敏度高的面板可提高诊断准确性和资源利用率。我们使用POU4F3、角蛋白20、角蛋白AE1/AE3或泛角蛋白评估了来自81例MCC患者的226个sln。转移被定义为任何检测的IHC标记阳性染色。患者年龄49-92岁(中位73.5岁),男女比例为1.8:1。原发肿瘤部位为四肢(48.1%)、头颈部(34.6%)和躯干(17.3%)。SLN的位置包括颈椎(29.6%)、腋窝(27%)、股骨(20.8%)、腹股沟(9.7%)、面部(7.1%)、骨盆(3.1%)和上耳蜗(2.7%)。226例sln中有102例(45%)存在转移。单标记敏感性分别为:POU4F3(96%, 98/102)、角蛋白20(67%,68/102)、角蛋白AE1/AE3或泛角蛋白(64%,70/102)。最敏感的组合是POU4F3与角蛋白AE1/AE3或泛角蛋白(100%敏感性)或POU4F3与角蛋白20(98%敏感性)。角蛋白20与角蛋白AE1/AE3或泛角蛋白最不敏感(74%)。在6例(7.4%)患者中,POU4F3检测到先前在临床诊断时被诊断为角蛋白20和角蛋白AE1/AE3或泛角蛋白面板阴性的sln中的单个转移细胞。POU4F3是检测MCC SLN转移最敏感的个体免疫组化标志物。最具成本效益的面板是带有角蛋白AE1/AE3或泛角蛋白的POU4F3,可实现100%的灵敏度,同时减少对不太有效的染色剂的依赖。采用这种集中的免疫组化方法可以使MCC的SLN评估标准化,提高诊断的准确性和效率。
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引用次数: 0
Quantitative Histology of Nonmetastatic Regional Lymph Nodes as a Novel Prognostic Indicator in Microsatellite Instability–High Colorectal Cancer 非转移性区域淋巴结定量组织学作为微卫星不稳定性高的结直肠癌新的预后指标。
IF 5.5 1区 医学 Q1 PATHOLOGY Pub Date : 2026-01-01 DOI: 10.1016/j.modpat.2025.100948
Ji Hye Moon , Jiyun Hong , Seoung Wan Chae , Inwoong Choi , Chaejoo Kim , Jeong Mo Bae , Gyeong Hoon Kang , Sangwoo Kim , Minsun Jung , Jung Ho Kim
Regional lymph node metastasis is one of the main factors affecting cancer staging. However, the clinical and immunologic implications of nonmetastatic regional lymph nodes (nrLNs) remain poorly understood. Here, we investigated the prognostic significance of the morphologic features of nrLNs in colorectal cancer (CRC) with microsatellite instability-high (MSI-H). Artificial intelligence–aided digital pathology-based quantification of 37 histologic parameters in 873 whole-slide images comprising 5785 nrLNs was performed in 2 independent cohorts of curatively resected MSI-H CRCs (discovery, n = 103; validation, n = 90). The prognostic value of each histologic parameter was evaluated by univariate and multivariate disease-free survival analyses. Quantitative immunohistochemical analysis of tumor-infiltrating immune cells and whole-exome and transcriptome sequencing using tumor tissues were performed to assess associations between prognostic nrLN histologic features and various tumor immuno-molecular factors. As a result, germinal center (GC)–related histologic parameters, including the maximum area, mean area, sum area, and maximum diameter of GCs in the nrLNs, were identified as independent prognostic factors in both cohorts. The prognostic GC-related factors of nrLNs were significantly associated with tertiary lymphoid structures and B cell pathways activation but were not or inversely correlated with the densities of tumor-infiltrating T cells and macrophages. No significant associations were found between prognostic nrLN GC features and major tumor molecular factors such as tumor mutational burden, driver mutations, consensus molecular subtype, or CpG island methylator phenotype. In conclusion, quantitative GC-related histology of nrLNs can serve as a prognostic indicator for MSI-H CRC. Our findings suggest that GC-activated nrLNs may represent B cell–mediated antitumor immunity, independent of tumor-infiltrating T cells and tumor-intrinsic molecular characteristics.
局部淋巴结转移是影响肿瘤分期的主要因素之一。然而,非转移性区域淋巴结(nrLNs)的临床和免疫学意义仍然知之甚少。在这里,我们研究了nrLNs的形态学特征在微卫星不稳定性高(MSI-H)的结直肠癌(CRC)中的预后意义。在两个独立的治愈切除的MSI-H crc队列中,对包含5,785个nrLNs的873张全片图像中的37个组织学参数进行人工智能辅助数字病理学量化(发现,n=103;验证,n=90)。通过单因素和多因素无病生存分析评估每个组织学参数的预后价值。对肿瘤浸润性免疫细胞进行定量免疫组织化学分析,并利用肿瘤组织进行全外显子组和转录组测序,以评估预后nrLN组织学特征与各种肿瘤免疫分子因子之间的关系。结果,生发中心(GC)相关组织学参数,包括nrln中生发中心的最大面积、平均面积、总面积和最大直径,被确定为两个队列中独立的预后因素。nrLNs的预后gc相关因子与三级淋巴样结构和B细胞通路激活显著相关,但与肿瘤浸润T细胞和巨噬细胞密度不相关或呈负相关。预后nrLN GC特征与主要肿瘤分子因素(如肿瘤突变负担、驱动突变、一致分子亚型或CpG岛甲基化表型)之间未发现显著关联。综上所述,定量gc相关组织学nrLNs可作为MSI-H型结直肠癌的预后指标。我们的研究结果表明,gc激活的nrLNs可能代表B细胞介导的抗肿瘤免疫,独立于肿瘤浸润性T细胞和肿瘤固有的分子特征。
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引用次数: 0
Redefining the Spectrum of Epstein-Barr Virus–Positive (EBV+) Diffuse Large B-cell Lymphoma and EBV+ Classic Hodgkin Lymphoma 重新定义ebv阳性弥漫性大b细胞淋巴瘤和ebv阳性经典霍奇金淋巴瘤的谱。
IF 5.5 1区 医学 Q1 PATHOLOGY Pub Date : 2026-01-01 DOI: 10.1016/j.modpat.2025.100950
Shunsuke Nagase , Naoya Nakamura , Yara Yukie Kikuti , Joaquim Carreras , Yuki Tanigaki , Makoto Orita , Atsushi Ito , Haruka Ikoma , Hiroshi Kawada , Yohei Masugi
Epstein-Barr virus–positive (EBV+) diffuse large B-cell lymphoma (DLBCL) and EBV+ classic Hodgkin lymphoma (CHL) are major B-cell lymphomas with EBV infection in elderly patients. Although they are regarded as distinct clinicopathological entities, distinguishing EBV+ CHL from EBV+ DLBCL is often challenging because of their overlapping histologic and immunophenotypic features. We characterized the spectrum of EBV+ large B-cell lymphoma (LBCL) in 57 patients aged 50 years or older, including 35 EBV+ DLBCL (12 polymorphic EBV+ DLBCL [pDLBCL] and 23 monomorphic EBV+ DLBCL [mDLBCL]) and 22 EBV+ CHL. Gene expression profiling revealed interferon gamma (IFN-γ) enrichment with overexpression of indoleamine 2,3-dioxygenase 1 (IDO1), an immunosuppressive enzyme, in more than half of pDLBCL (5/8) but less in mDLBCL (3/19) and CHL (1/19). Fluorescence in situ hybridization showed a higher frequency of 9p24.1-altered cells in CHL (54%; IQR, 42%-89%) but lower frequencies in pDLBCL (18%; IQR, 12%-23%) and mDLBCL (5%; IQR, 0%-30%). Notably, immunohistochemical expression of PDL1 was higher in pDLBCL than in mDLBCL, suggesting IFN-γ–mediated upregulation. DLBCL with EBV latency type III (n = 13) exhibited lower tumor PDL1 expression and reduced IDO1-enriched microenvironment. Multivariate analysis of the total cohort revealed that both EBV latency type III and Eastern Cooperative Oncology Group performance status ≥2 were independently associated with shorter overall survival. The EBV+ LBCL spectrum was reclassified into 4 molecular groups: (1) EBV latency type III suggestive of immune senescence (n = 10, 22%), (2) high proportion of 9p24.1 alteration (n = 9, 20%), (3) high IFN-γ signature score (n = 9, 20%), and (4) low IFN-γ signature score (n = 18, 39%). Moreover, these groups were identified using the following surrogate immunohistochemical markers: EBNA2, PDL1, and IDO1. In conclusion, the molecular studies assessing the tumor-host interaction enhance the understanding of the EBV+ LBCL spectrum and benefit pathological diagnosis and clinical management.
eb病毒阳性(EBV+)弥漫性大b细胞淋巴瘤(DLBCL)和EBV+经典霍奇金淋巴瘤(CHL)是老年eb病毒感染的主要b细胞淋巴瘤。尽管它们被认为是不同的临床病理实体,但由于其重叠的组织学和免疫表型特征,将EBV+ CHL与EBV+ DLBCL区分开来往往具有挑战性。我们分析了57例年龄≥50岁的EBV+大b细胞淋巴瘤,包括35例EBV+ DLBCL(12例多态DLBCL [pDLBCL], 23例单态DLBCL [mDLBCL])和22例EBV+ CHL。基因表达谱显示干扰素-γ (IFNγ)富集,免疫抑制酶吲哚胺2,3-双加氧酶1 (IDO1)在半数以上的pDLBCL(5/8)中过表达,而在mDLBCL(3/19)和CHL(1/19)中较少表达。荧光原位杂交显示,CHL中9p24.1改变的细胞频率较高(54%,四分位数范围[IQR], 42%-89%),而pDLBCL中9p24.1改变的细胞频率较低(18%,IQR, 12%-23%), mDLBCL中9p24.1改变的细胞频率较低(5%,IQR, 0%-30%)。值得注意的是,PDL1的免疫组化表达在pDLBCL中高于mDLBCL,提示ifn γ介导的上调。EBV潜伏期III型DLBCL (n = 13)表现出较低的肿瘤PDL1表达和较低的ido1富集微环境。总队列的多变量分析显示,EBV潜伏期III型和东部合作肿瘤组表现状态≥2与较短的总生存期独立相关。EBV+大b细胞淋巴瘤谱被重新划分为4个分子群:(1)EBV潜伏期III型提示免疫衰老(n = 10, 22%); (2) 9p24.1改变高比例(n = 9, 20%);(3) IFNγ高特征评分(n = 9, 20%)和(4)IFNγ低特征评分(n = 18, 39%)。此外,使用替代免疫组织化学标记:EBNA2、PDL1和IDO1来鉴定这些组。总之,评估肿瘤-宿主相互作用的分子研究增强了对EBV+大b细胞淋巴瘤谱的理解,有利于病理诊断和临床管理。
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Modern Pathology
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