Journal of Clinical Pathology最新文献

Aims: To investigate the performance of a combined biomarker approach using the methylation status of the short stature homeobox 2 (SHOX2) and prostaglandin E2 receptor EP4 (PTGER4) genes, along with the serum levels of CYFRA21-1, for differential diganosis of malignant pleural mesothelioma (MPM) from benign reactive mesothelial hyperplasia (RMH).

Methods: We analysed 48 MPM tissue or pleural effusion cell block specimens and 42 cases with RMH. Real-time quantitative methylation-specific PCR was used to examine the methylation status of SHOX2, PTGER4, ras association domain family 1 isoform A, septin 9 gene and homeobox gene A9 genes. Additionally, we employed electrochemiluminescence immunoassay to measure nine serum tumour markers commonly used in pan-cancer screening tests.

Results: The receiver operating curve indicated that SHOX2, PTGER4 gene methylation and serum biomarker CYFRA21-1 exhibited good diagnostic performance in identifying MPM, with area under curves (AUCs) of 0.761, 0.904 and 0.847, respectively. The combination of SHOX2, PTGER4 methylation and CYFRA21-1 yielded an AUC value of 0.972. The diagnostic sensitivity and specificity of this panel in differentiating MPM from RMH were 91.3% (42/46) and 97.6% (41/42), respectively. Both tissue and cell block specimens can be used in the diagnostic process. Furthermore, elevated CYFRA21-1 levels were associated with poor prognosis (p<0.05). Hypermethylation level of PTGER4 may indicate an unfavourable prognosis of MPM, but the difference was not statistically significant.

Conclusions: The combined detection of SHOX2 and PTGER4 methylation alongside serum CYFRA21-1 level significantly enhances the diagnosis of MPM. Additionally, CYFRA21-1 can serve as a prognostic indicator for MPM.

Aims: Pre-surgical risk classification tools for prostate cancer have shown better patient stratification with the addition of cribriform pattern 4 (CC) and intraductal prostatic carcinoma (IDC) identified in biopsies. Here, we analyse the additional prognostic impact of CC/IDC observed in prostatectomies using Cancer of Prostate Risk Assessment post-surgical (CAPRA-S) stratification.

Methods: A retrospective cohort of treatment-naïve radical prostatectomy specimens from three North American academic institutions (2010-2018) was assessed for the presence of CC/IDC. Patients were classified, after calculating the CAPRA-S scores, into low-risk (0-2), intermediate-risk (3-5) and high-risk (6-12) groups. Kaplan-Meier curves were created to estimate biochemical recurrence (BCR)-free survival. Prognostic performance was examined using Harrell's concordance index, and the effects of CC/IDC within each risk group were evaluated using the Cox proportional hazards models.

Results: Our cohort included 825 prostatectomies (grade group (GG)1, n=94; GG2, n=475; GG3, n=185; GG4, n=13; GG5, n=58). CC/IDC was present in 341 (41%) prostatectomies. With a median follow-up of 4.2 years (range 2.9-6.4), 166 (20%) patients experienced BCR. The CAPRA-S low-risk, intermediate-risk and high-risk groups comprised 357 (43%), 328 (40%) and 140 (17%) patients, and discriminated for BCR-free survival (p<0.0001). For CAPRA-S scores 3-5, the addition of CC/IDC status improved stratification for BCR (HR 2.27, 95% CI 1.41 to 3.66, p<0.001) and improved the overall c-index (0.689 vs 0.667, analysis of variance p<0.001).

Conclusion: The addition of CC/IDC into the CAPRA-S classification significantly improved post-radical prostatectomy patient stratification for BCR among the intermediate-risk group (CAPRA-S scores 3-5). The reporting of CC and IDC should be included in future prostate cancer stratification tools for improved outcome prediction.

Aims: Analysis of the F8 gene helps predict the risk of developing factor VIII (FVIII) inhibitors and the depth of phenotype in haemophilia A (HA) patients. Since data in Southeast Asian countries remain scarce, we aim to study F8 variation correlated with HA phenotypes in Thailand.

Methods: Thai patients with HA were enrolled from seven haemophilia treatment centres during 2022-2023. Using peripheral blood DNA, inverse shifting-polymerase chain reaction (IS-PCR) for F8-intron 22 inversion (Inv22) and F8-intron 1 inversion (Inv1) was performed. Whole exome sequencing (WES) was explored in cases without Inv22/Inv1.

Results: Of 124 patients with HA, 91.9% were detected with a causative F8 variant, including Inv22 (30.6%), Inv1 (1.6%), missense (23.4%), nonsense (16.9%) and small insertion/deletion (16.1%) mutations. Inv22, small insertion/deletion and nonsense were associated with severe HA, compared with missense variants, by the ORs of 13.9 (95% CI, 4.2 to 56.7), 14.7 (95% CI, 3.4 to 104.7) and 15.6 (95% CI, 3.6 to 110.2), respectively. While nonsense variants affecting the light chain increased the risk of developing FVIII inhibitors (OR, 6.8; 95% CI, 1.5 to 32.6) compared with the low-risk (small insertion/deletion, missense and splice-site) variants. Twelve patients (9.7%) harboured novel F8 variants, comprising five missense (p.Pro540Leu, p.Ser564Pro, p.Leu668Pro, p.Ala1721Glu, p.His2024Pro), five small insertion/deletion (p.Val502SerfsTer13, p.Ile522PhefsTer13, p.Phe992LysfsTer11, p.Leu1223PhefsTer18, c.6427_6429+3delATGGTA) and one nonsense mutations (p.Glu1292Ter).

Conclusions: IS-PCR followed by WES successfully assesses F8 alterations in most HA cases. With several unique variants, severe HA in Thailand is considerably caused by Inv22, small insertion/deletion and nonsense, whereas missense variants are more responsible for nonsevere HA phenotypes.

Accelerated chronic lymphocytic leukaemia (A-CLL) is an aggressive variant of chronic lymphocytic leukaemia (CLL) characterised by distinct histologic features and a higher risk pathogenetic profile compared with conventional CLL (C-CLL). Although well recognised histologically, peripheral blood (PB) morphology of A-CLL is not well studied. In this study, we compared the PB lymphocyte morphology between 22 cases of biopsy-confirmed A-CLL and 60 cases of biopsy-confirmed C-CLL. PBs in A-CLL had a significantly lower percentage of typical CLL cells (mean: 51.28% vs 86.73%; p<0.001) and a higher percentage of classical prolymphocytes (12.11% vs 3.69%; p=0.021), non-classical prolymphocytes (17.48% vs 5.59%; p<0.001) and other atypical forms (cleaved, Downey-like and flower-shaped cells). Our data ties this distinct PB lymphocyte morphology in A-CLL with aggressive histology and a high-risk pathogenetic profile. Recognising the morphologic spectrum of PB lymphocytosis in A-CLL can facilitate earlier identification of this aggressive variant and help avoid misdiagnosis as other types of lymphoma/leukaemias.

Artificial intelligence (AI)-powered diagnostic pathology involves combining traditional histological techniques with computer-assisted AI technology. This process comprises several key steps: generating whole slide digital images; annotating and training algorithms; constructing robust datasets; testing and monitoring consistency with clinical expectations; validating results externally and overseeing the output of algorithms. All of these steps must adhere to quality standards and ensure patient safety.Current scientific evidence suggests that, while AI can enhance the accuracy of human diagnostics, it cannot replace humans as autonomous classifiers. Generative intelligence offers new, promising technological advancements. When applying these technologies in clinical practice, international healthcare institutions recommend clearly defining the application domains and implementing and monitoring safety measures.This critical review of current AI applications in diagnostic pathology underscores the paramount significance of patient-centred safety considerations. It also highlights the necessity of collaborative efforts among governments, academic institutions, international healthcare agencies, scientific societies, patient associations and algorithm developers to implement safety-oriented regulatory measures for AI-powered pathology.

Aims: ELOC (TCEB1)-mutant renal cell carcinoma (RCC) is a recently recognised entity in the 2022 WHO classification. Due to overlapping features, it is frequently misdiagnosed as clear cell RCC (CCRCC). This study characterises the clinicopathological, immunohistochemical and molecular features of six ELOC-mutant RCCs to aid in their diagnostic distinction.

Methods: Twenty-eight RCCs initially diagnosed as CCRCC with cytokeratin 7 (CK7) positivity and/or fibromuscular stroma were re-evaluated. Sanger sequencing was performed to detect ELOC mutations. The histopathological and immunophenotypic features of the six mutation-positive tumours were compared with those of the remaining 22 cases.

Results: The six ELOC-mutant tumours occurred in five men and one woman. All specimens showed a multinodular architecture, separated by a thick fibromuscular stroma. Tumour cells exhibited tubular, papillary, nested and tubulocystic patterns, with small branching papillae often present within cysts. The cytoplasm was predominantly clear, and nuclei were low-grade and basally oriented. CK7 expression was moderate to strong, with diffuse membranous staining in papillary areas. Sanger sequencing confirmed ELOC point mutations in all cases. In contrast, CCRCCs with fibromuscular stroma were rare, more often exhibited eosinophilic cytoplasm, lacked papillary structures and showed negative or only focal expression of CK7. Sanger sequencing showed the wild-type ELOC genotype.

Conclusions: ELOC-mutant RCC exhibits distinctive morphologic and immunohistochemical features; however, a definitive diagnosis requires molecular confirmation. Recognition of its characteristic features, including clustered branching papillae, CK7 positivity in papillary regions and the lack of correlation between cytoplasmic and nuclear grade, can guide appropriate ancillary testing and improve diagnostic accuracy.

Aim: The digital transformation of the pathology laboratory is being continuously sustained by the introduction of innovative technologies promoting whole slide image (WSI)-based primary diagnosis. Here, we proposed a real-life benchmark of a pathology-dedicated medical monitor for the primary diagnosis of renal biopsies, evaluating the concordance between the 'traditional' microscope and commercial monitors using WSI from different scanners.

Methods: The College of American Pathologists WSI validation guidelines were used on 60 consecutive renal biopsies from three scanners (Aperio, 3DHISTECH and Hamamatsu) using pathology-dedicated medical grade (MG), professional grade (PG) and consumer-off-the-shelf (COTS) monitors, comparing results with the microscope diagnosis after a 2-week washout period.

Results: MG monitor was faster (1090 vs 1159 vs 1181 min, delta of 6-8%, p<0.01), with slightly better performances on the detection of concurrent diseases compared with COTS (κ=1 vs 0.96, 95% CI=0.87 to 1), but equal concordance to the commercial monitors on main diagnosis (κ=1). Minor discrepancies were noted on specific scores/classifications, with MG and PG monitors closer to the reference report (r=0.98, 95% CI=0.83 to 1 vs 0.98, 95% CI=0.83 to 1 vs 0.91, 95% CI=0.76 to 1, κ=0.93, 95% CI=077 to 1 vs 0.93, 95% CI=0.77 to 1 vs 0.86, 95% CI=0.64 to 1, κ=1 vs 0.50, 95% CI=0 to 1 vs 0.50, 95% CI=0 to 1, for IgA, antineutrophilic cytoplasmic antibody and lupus nephritis, respectively). Streamlined Pipeline for Amyloid detection through congo red fluorescence Digital Analysis detected amyloidosis on both monitors (4 of 30, 13% cases), allowing detection of minimal interstitial deposits with slight overestimation of the Amyloid Score (average 6 vs 7).

Conclusions: The digital transformation needs careful assessment of the hardware component to support a smart and safe diagnostic process. Choosing the display for WSI is critical in the process and requires adequate planning.