Huang X, Wang Y, Ni W
… +7 more, Zhong L, Qin Y, Zeng S, Xu H, Qu Y, Hu P, Zhang J
J Pathol Clin Res
· 2026 Mar · PMID 41891942
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The molecular classification of endometrial carcinomas (ECs) is now integrated into clinical practice. However, identification of polymerase-ε (POLE) variants remains reliant on DNA sequencing, which limits broader imple...The molecular classification of endometrial carcinomas (ECs) is now integrated into clinical practice. However, identification of polymerase-ε (POLE) variants remains reliant on DNA sequencing, which limits broader implementation. Given the strong prognostic value of pathogenic POLE mutations and the established efficacy of immunohistochemistry (IHC) for detecting mismatch repair (MMR) deficiency and p53 abnormalities, there is a clear need for IHC-based screening strategies to identify patients likely to carry POLE variants and prioritize them for confirmatory sequencing. In this study, we analyzed 24 cases with POLE pathogenic mutations (POLEmut ECs), 3 with benign POLE variants, and 32 matched cases with no specific molecular profile (NSMP) from a cohort of 378 ECs. IHC evaluation of the ataxia telangiectasia mutated (ATM) protein revealed that POLE-mutated ECs (with pathogenic or benign POLE variants) exhibited significantly higher frequencies of non-diffuse positive staining patterns, including null, heterogeneous positive, and subclonal loss, compared with NSMP cases. Targeted next-generation sequencing of all exons across 474 cancer-related genes in the 27 POLE-mutated ECs and 20 NSMP cases with ATM non-diffuse positive staining patterns confirmed that POLE-mutated ECs typically had high tumor mutational burden and were enriched for ATM truncating variants. ATM molecular alterations, including various variant subtypes and multisite mutations, also closely correlated with these staining patterns. Based on these findings, we refined the ATM IHC interpretation framework to integrate staining patterns with sequencing data for improved molecular correlation. Specifically, the null and subclonal loss patterns showed high specificity (96.9%), positive predictive value (94.1%), and accuracy (79.7%) for identifying POLE variants. Notably, the null pattern appeared exclusively in ECs with pathogenic POLE mutations. These results suggest that ATM IHC staining is an effective screening tool for identifying patients who may benefit from confirmatory POLE sequencing among those lacking MMR deficiency or p53 abnormalities.
Kong W, Bao L, Hu J
… +17 more, Li G, Liu Y, Ran W, Zhang T, Gu H, Zhang X, Wang M, Ji H, Zong X, Zhang Y, Dang S, Li D, Fa L, Yu X, Pan X, Li X, Wang J
Töltési I, Němejcová K, Kendall Bártů M
… +11 more, Vránková R, Cibula D, Fabian P, Frühauf F, Hausnerová J, Laco J, Méhes G, Špůrková Z, Švajdler M, Matěj R, Dundr P
J Pathol Clin Res
· 2026 Mar · PMID 41870959
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Folate receptor alpha (FRα) is a promising therapeutic target due to its high expression in several tumor types and its rare expression in healthy tissue. Recently, the antibody-drug conjugate mirvetuximab soravtansine h...Folate receptor alpha (FRα) is a promising therapeutic target due to its high expression in several tumor types and its rare expression in healthy tissue. Recently, the antibody-drug conjugate mirvetuximab soravtansine has been approved for treatment of advanced platinum-resistant high-grade serous carcinoma (HGSC). Immunohistochemical expression of FRα has been extensively studied in HGSC, but most studies conducted before the clinical studies targeting FRα used variable antibodies and scoring criteria, which makes comparison of older literature data with recent studies difficult. Moreover, the data regarding its expression in other types of ovarian and other female genital tract tumors are limited or absent. In our study, we focused on immunohistochemical expression in 923 tubo-ovarian and endometrial tumors (assessed on tissue microarrays), using standardized scoring criteria and the VENTANA FOLR1 CDx assay. The results of our study showed the highest FRα expression in serous carcinomas, specifically HGSC (45% positive cases), followed by low-grade serous carcinoma (25%), endometrial serous carcinoma (11%), and serous borderline tumor (10%). Endometrioid and clear cell ovarian carcinomas showed rare positivity (2% and 1%, respectively). All other tumors examined were negative, including mucinous ovarian tumors, sex cord-stromal tumors, endometrial endometrioid carcinomas, undifferentiated and dedifferentiated carcinomas, and endometrial clear cell carcinomas. In conclusion, these results confirm that FRα expression in HGSC and LGSC reaches similar values compared to published data, and is present in a minority of endometrial serous carcinomas. In other ovarian and endometrial tumors examined, FRα expression is absent or rare.
Petzold A, Wessely A, Schliep S
… +8 more, Jiang H, Tran M, Koch EA, Peng T, Starz H, Berking C, Marr C, Heppt MV
J Pathol Clin Res
· 2026 Mar · PMID 41841638
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Distinguishing infiltrative basal cell carcinoma (BCC) from poorly differentiated cutaneous squamous cell carcinoma (cSCC) remains a significant histopathological challenge. Automated deep learning approaches hold promis...Distinguishing infiltrative basal cell carcinoma (BCC) from poorly differentiated cutaneous squamous cell carcinoma (cSCC) remains a significant histopathological challenge. Automated deep learning approaches hold promise for improving diagnostic reliability, yet robust external validation is essential. In this study, we developed a weakly supervised deep learning model to classify these diagnostically challenging subtypes and evaluated its generalizability across internal and external cohorts, as well as in comparison to a dermatopathology foundation model (HistoGPT). The model employed a multiple-instance learning framework (CLAM) using the histopathology-specific transformer Phikon for feature extraction from whole-slide images. Slide-level ground-truth diagnoses from the collected images (n = 335, University Hospital Erlangen) were derived from routine clinical practice and re-evaluated by two board-certified dermatopathologists. Performance was assessed on an internal test set of 84 whole-slide images (27 cSCC and 57 BCC) and two external datasets: Queensland cohort (n = 10, curated in-distribution cases) and the COBRA cohort (n = 200, broad, partly out-of-distribution cases). Model discrimination was quantified using ROC curves, while accuracy, sensitivity, and specificity were reported alongside 95% Wilson confidence intervals (CIs). On the internal test set, the model achieved perfect classification [area under the receiver operating characteristic (AUC) = 1.0; 100% accuracy, sensitivity, and specificity]. Similarly, strong performance was observed in the Queensland cohort (AUC = 1.0), although limited by sample size. In the more heterogeneous COBRA cohort, discrimination remained high (AUC = 0.923, 95% CI 0.885-0.961), requiring threshold adjustment to correct for marked calibration shift (balanced accuracy 86.5% at Youden's J). Attention heatmaps highlighted histologically meaningful regions. In zero-shot evaluation on the internal test set, HistoGPT achieved an overall accuracy of 77%, with high class-wise sensitivity for BCC (98%, 95% CI 91-100) but markedly reduced sensitivity for cSCC (33%, 95% CI 19-52). Fine-tuning a task-specific classifier on the HistoGPT backbone substantially improved performance, achieving near-perfect discrimination and 98% balanced accuracy. These findings demonstrate that weakly supervised deep learning enables highly accurate classification of diagnostically challenging BCC and cutaneous squamous cell carcinoma subtypes. However, reliable deployment across institutions necessitates careful calibration and domain adaptation, and even powerful foundation models such as HistoGPT benefit from targeted fine-tuning to ensure robust performance in dermatopathology.
Sabtan D, Eich ML, Loch F
… +8 more, Pérez Zuschneid JK, Möbs M, Böhme J, Klauschen F, Horst D, Dragomir MP, Dernbach G, Schallenberg S
J Pathol Clin Res
· 2026 Mar · PMID 41837391
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Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease, with limited therapeutic options, few patients showing targetable molecular changes. New therapeutic strategies are necessary. Antibody-drug conjugates (ADCs)...Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease, with limited therapeutic options, few patients showing targetable molecular changes. New therapeutic strategies are necessary. Antibody-drug conjugates (ADCs) have emerged as alternative therapeutic strategies across various cancer types. Herein, we analyze the expression and spatial heterogeneity (six cores per patients) of three ADC targets (c-MET, NECTIN4, and TROP-2) in a cohort of 62 PDAC patients (1,116 tissue cores) and associate their levels with clinicopathological and genomic parameters, and the expression of immune checkpoints. c-MET exhibited significantly higher expression at the tumor front versus tumor center, along with notable intratumoral heterogeneity. In contrast, NECTIN4 and TROP-2 displayed homogeneous expression patterns, with NECTIN4 being absent in approximately two-thirds of cases, while TROP-2 showed consistently strong positivity across tumor regions (98% 3+). By simulating sampling sufficiency for reliable scoring, we observed that, for c-MET, two tumor samples were sufficient to achieve a maximum score of 1+, while for higher scores (2+ and 3+), four samples were required. For NECTIN4, four samples were necessary to detect scores of 1+ and 2+. For TROP-2, for a 3+ score, just two samples were sufficient to reach the maximum score. c-MET or TROP-2 expression scores were not associated with any clinicopathological parameters. In contrast, NECTIN4 expression showed an association with tumor grade. Correlations with immune checkpoints revealed that high TROP-2 expression was inversely correlated with PD-L1 expression. For all three markers no significant differences in expression were found between SMAD4 wild-type and SMAD4-mutated tumors, nor between TP53 wild-type and TP53-mutated tumors. Furthermore, analysis of lymph node and distant (liver and peritoneal) metastases revealed significantly higher c-MET and NECTIN4 expression in the metastatic setting. In conclusion, TROP-2 is highly expressed in most PDACs, independent of clinicopathological and genomic parameters, and inversely correlating with PD-L1, making TROP-2 an ideal ADC target.
Wang M, Sun X, Ren H
… +6 more, Gao F, Sun X, Lu C, Yin Y, Li J, Zhao C
J Pathol Clin Res
· 2026 Mar · PMID 41837385
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Villitis of unknown etiology (VUE) is a chronic placental inflammatory lesion characterized by lymphohistiocytic infiltration and destruction of villous architecture in the absence of infection. Although VUE is well reco...Villitis of unknown etiology (VUE) is a chronic placental inflammatory lesion characterized by lymphohistiocytic infiltration and destruction of villous architecture in the absence of infection. Although VUE is well recognized for its association with fetal growth restriction and adverse pregnancy outcomes, its clinicopathologic correlates and molecular basis remain poorly understood. VUE cases were identified from the pathology database of Jinan Maternal and Child Health Hospital (2020-2023) and classified as high-grade or low-grade according to the Amsterdam criteria. Clinical data, maternal complications, and neonatal outcomes were collected from electronic medical records. Multivariable logistic regression was used to determine independent risk factors. RNA sequencing was performed on 28 placental samples (24 VUE and 4 controls) to identify differentially expressed genes and pathways. A total of 970 cases (381 high-grade and 589 low-grade) and 980 controls were included. VUE prevalence was 5.8%. Hypertensive disorders of pregnancy (HDP) were independently associated with VUE occurrence (odds ratio 1.67, 95% CI 1.28-2.19, p < 0.001). VUE placentas frequently exhibited chronic intervillositis, chronic deciduitis, and avascular villi, whereas maternal vascular malperfusion showed no significant difference from controls. High-grade VUE was significantly associated with low-birth-weight, small-for-gestational-age infants, and increased neonatal intensive care unit admissions, indicating a severity-dependent impact on neonatal outcomes. Transcriptomic profiling revealed robust upregulation of interferon-inducible, cytotoxic, and chemokine genes - most notably GBP5, CXCL9, and CXCL10 - with enrichment of interferon-γ, IL-6/JAK/STAT3, TNF-α/NF-κB, and antigen presentation pathways. VUE, particularly its high-grade form, is a significant placental lesion associated with HDP, adverse neonatal outcomes, and avascular villi. Its distinct interferon-rich molecular profile, consistent with a maternal anti-fetal T-cell-mediated process, underscores its clinical and biological importance. GBP5 emerges as a potential biomarker of interferon-driven inflammation, providing new mechanistic insight and diagnostic relevance for placental immune injury.
Jenei A, Kajtár B, László T
… +8 more, Juratli HA, Vida L, Szepesi Á, Mózes R, Timár B, Halter J, Dirnhofer S, Tzankov A
J Pathol Clin Res
· 2026 Mar · PMID 41781345
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Myeloid sarcoma (MS) is a tumorous extramedullary proliferation of blast or blast equivalent cells (e.g., promonocytes or promyelocytes). The most frequent cutaneous presentation is often referred to as leukemia cutis (L...Myeloid sarcoma (MS) is a tumorous extramedullary proliferation of blast or blast equivalent cells (e.g., promonocytes or promyelocytes). The most frequent cutaneous presentation is often referred to as leukemia cutis (LC). These lesions, especially without the clinical context of a known bone marrow disease, pose a differential diagnostic challenge. In this retrospective multicenter clinico-pathological study on 154 patients with MS or LC, 169 samples were analyzed by morphology, immunohistochemistry, and fluorescent in situ hybridization, and a subset by additional sequencing [TP53]. The majority of cases were lysozyme positive (diffuse in 91% and focal in 5%), 51% showed diffuse and 6% focal expression of CD56, and IRF8 was strongly positive in 31% of the lesions. Lack of myeloperoxidase (MPO), CD117, and CD34 expression was observed in 27%, 39%, and 58%, respectively. PU.1 was positive in almost all instances (95%), but BRAF V600E was consistently negative. CD123 was diffusely (13%) or focally (25%) positive, which, in addition to frequent CD4 (73%) and CD56 expression, pointed to a phenotypic overlap with blastic plasmacytoid dendritic cell neoplasms. Survival analysis revealed that MS occurring at sanctuary sites (CNS, orbit, ovary, and testis) was characterized by excellent survival. Similarly to histiocytoses, there was a prognostic difference between isolated and multisystemic involvement by MS. Patients who underwent allogeneic hematopoietic stem cell transplantation showed significantly improved survival. In conclusion, this multicenter study suggests that most MS are of myelomonocytic/monoblastic origin, a high proportion of them are NPM1 mutated, and may lack expression of MPO and CD34. NPM1 mutation-specific antibodies should be integrated into the diagnostic panels for MS or LC, while IRF8 and PU.1 are not recommended as they cannot distinguish MS from histiocytic neoplasms.
Clarke EL, Magee D, Newton-Bishop J
… +13 more, Saldanha G, Merchant W, Hall M, Insall R, Maher NG, Scolyer RA, Farnworth G, Ali A, Bamford M, Sticova E, Kujal P, O'Shea S, Treanor D
J Pathol Clin Res
· 2026 Mar · PMID 41778962
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The current melanoma staging system predicts 74% of the variance in survival, with prognostic biomarkers subject to high levels of inter-observer variation. This work assesses whether a previously developed convolutional...The current melanoma staging system predicts 74% of the variance in survival, with prognostic biomarkers subject to high levels of inter-observer variation. This work assesses whether a previously developed convolutional neural network (CNN) for invasive melanoma segmentation in whole slide images (WSIs) may reveal new insights into melanoma morphology and patient prognosis. This paper uses Cox proportional multivariate regression analyses to evaluate the ability of the CNN outputs to predict patient survival across 745 WSIs from 5 data sources. Five objective histomorphological parameters of tumour size and shape that are independently associated with overall and melanoma-specific survival were created from the CNN: tumour area(log) (HR 1.48 CI 1.30-1.68, p < 0.001), tumour perimeter(log) (HR 1.86 CI 1.48-2.32, p < 0.001), major axis length(log) (HR 1.88 CI 1.42-2.48, p < 0.001), Nodularity Index(log) (HR 1.77 CI 1.28-2.43, p < 0.001) and digital Breslow thickness(log) (HR 2.04, CI 1.63-2.54, p < 0.001). These results indicate that melanoma segmentation of the entire lesion within a WSI may be used to predict patient outcome. Moreover, this technology can be used to make new morphological discoveries to provide information not currently contained within our staging system (e.g. Nodularity Index), as well as provide objectivity and automation of current biomarkers (e.g. digital Breslow thickness). Further work is required to validate this initial discovery and evaluation.
Xu S, Ma YD, Bie ZX
… +4 more, Huang JY, Li YM, Wang Z, Li XG
J Pathol Clin Res
· 2026 Mar · PMID 41748474
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This prospective single-center study aimed to investigate whether preserving cell-free ribonucleic acid (cfRNA) in specimens' supernatants (SS) obtained from percutaneous core-needle biopsy (CNB) of non-small cell lung c...This prospective single-center study aimed to investigate whether preserving cell-free ribonucleic acid (cfRNA) in specimens' supernatants (SS) obtained from percutaneous core-needle biopsy (CNB) of non-small cell lung cancer (NSCLC) can improve the performance of genomic testing. Forty-three NSCLC patients who underwent image-guided CNB were enrolled. The SS from each CNB specimen was divided into two parts: one was mixed 1:1 with a cfRNA-protective solution, and the other was left unhandled. For quantitative analysis, 30 patients (regardless of mutation status) were evaluated by comparing cfRNA yield between cfRNA-protected and -unprotected SS. For qualitative analysis, 15 patients with fusion gene alterations were assessed by comparing genotyping results from cfRNA-protected SS to those from paired CNB specimens. Pneumothorax was the most frequent adverse event in CNB procedures, occurring in 20.9% of cases (9/43). No one experienced severe adverse events. In the quantitative analysis, 90.0% (27/30) of cfRNA-protected SS yielded adequate cfRNA, significantly higher than 53.3% (16/30) in cfRNA-unprotected SS (p < 0.01). In the qualitative analysis, despite ineffective cfRNA preservation in three cases, DNA-level mutations were still detected in both the CNB specimens and cfRNA-protected SS. The overall concordance of genotyping results between cfRNA-protected SS and paired CNB specimens was 100%, correctly identifying all ALK fusions, ROS1 rearrangements, and MET-14 skipping alterations. These findings highlight that preserving cfRNA in CNB-SS from NSCLC can improve the performance of genomic testing, particularly for RNA-based assays, without compromising the accuracy of DNA-based assays.
Chai B, Chen J, Cool P
… +5 more, Oumlil F, Tollitt A, Steiner DF, Chakraborti T, Flanagan AM
J Pathol Clin Res
· 2026 Mar · PMID 41735241
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Histopathological analysis is considered the gold standard for the diagnosis and prognostication of cancer. Recent advances in AI, driven by large-scale digitisation and pan-cancer foundation models, are opening new oppo...Histopathological analysis is considered the gold standard for the diagnosis and prognostication of cancer. Recent advances in AI, driven by large-scale digitisation and pan-cancer foundation models, are opening new opportunities for clinical integration. However, it remains unclear how robust these foundation models are to real-world sources of variability, particularly in H&E staining and scanners produced by different manufacturers. In this study, we use soft tissue tumours, a rare and morphologically diverse tumour type, as a challenging test case to systematically investigate the colour-related robustness and generalisability of seven AI models. Controlled staining and scanning experiments were utilised to assess model performance across diverse real-world data sources. Foundation models, particularly UNI-v2, Virchow and TITAN, demonstrated encouraging robustness to staining and scanning variation, particularly when a small number of stain-varied slides were included in the training loop, highlighting their potential as adaptable and data-efficient tools for real-world digital pathology workflows.
Vaitinadapoulé H, Onitiu D, Maurin C
… +12 more, Travers G, Crouzet E, Dorado-Cortez O, Poinard S, He Z, Forest F, Ollier E, Touraine R, Gain P, Perone JM, Thuret G, French Fuchs Study Group (FFSG)