Journal of Pathology and Translational Medicine

Review Article

Solitary fibrous tumor: an updated review: Joon Hyuk Choi; J Pathol Transl Med. 2026;60(1):20-46. Published online December 29, 2025; DOI: https://doi.org/10.4132/jptm.2025.10.08

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Abstract PDF: Solitary fibrous tumor (SFT) is a fibroblastic neoplasm characterized by a branching, thin-walled dilated staghorn-shaped (hemangiopericytoma-like) vasculature and a NAB2::STAT6 gene fusion. SFTs can occur in almost any anatomical location, including superficial and deep soft tissues, visceral organs, and bone. They most commonly occur in extrapleural locations, equally affect both sexes, and are typically present in adults. Although metastasis is rare, SFTs frequently show local recurrence. The diagnosis of SFTs is difficult because of their broad histological and morphological overlap with other neoplasms. An accurate diagnosis is important for guiding disease management and prognosis. Despite advances in molecular diagnostics and therapeutic strategies, the biological complexity and unpredictable clinical behavior of SFTs present significant challenges. This review provides an updated overview of SFT, with a focus on its molecular genetics, histopathological features, and diagnostic considerations.

Original Article

AMACR is a highly sensitive and specific immunohistochemical marker for diagnosing prostate cancer on biopsy: a systematic review and meta-analysis: Johannes Cansius Prihadi, Stevan Kristian Lionardi, Nicolas Daniel Widjanarko, Steven Alvianto, Fransiskus Xaverius Rinaldi, Archie Fontana Iskandar; J Pathol Transl Med. 2025;59(4):235-248. Published online July 3, 2025; DOI: https://doi.org/10.4132/jptm.2025.04.16

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Background
Alpha-methylacyl-CoA racemase (AMACR) is the preferred biomarker for distinguishing malignant from benign glands in prostate biopsies, showing high sensitivity and specificity for prostate cancer. A meta-analysis of immunohistochemistry (IHC) for AMACR is essential to further assess its diagnostic accuracy across diverse sample sources. Methods: A systematic search of databases including MEDLINE, ScienceDirect, ProQuest, Google Scholar, and the Cochrane Library was performed, focusing on studies of AMACR to diagnose prostate cancer, particularly in biopsy samples analyzed through IHC over the last 20 years. Quality of studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool, followed by a meta-analysis of regions and subgroups to calculate summary estimates of diagnostic test accuracy. Results: In the final analysis, 37 studies, with a pooled size of 5,898 samples, were included from the examination of 94 full-text papers. Among them, 27 studies with similar sample sources and testing methodologies underwent meta-analysis, yielding a combined sensitivity estimate of 0.90 (95% confidence interval [CI], 0.86 to 0.93) and specificity of 0.91 (95% CI, 0.83 to 0.95), both with significant heterogeneity (p < .01). The region beneath the hierarchical summary receiver operating characteristic curve was 0.95 (95% CI, 0.93 to 0.97), positive likelihood ratio was 9.6 (95% CI, 5.3 to 17.4), negative likelihood ratio was 0.11 (95% CI, 0.08 to 0.15), and diagnostic odds ratio was 88 (95% CI, 42 to 181). Conclusions: Our meta-analysis findings substantiate AMACR as a highly accurate tool for diagnosing prostate cancer, specifically in biopsy samples, via immunohistochemical staining. Further studies involving diverse samples are needed to enhance our understanding of the AMACR diagnostic accuracy in a range of clinical settings.

Citations

Citations to this article as recorded by

Pathogenesis-Guided Biomarker Assessment: A Shift in Prostate Cancer Diagnostics
Jessica M. Logan, Victoria Malone, John J. O’Leary, Doug A. Brooks
International Journal of Molecular Sciences.2025; 26(24): 11786. CrossRef

Case Study

Primary renal BCOR::CCNB3 sarcoma in a female patient: case report: Somang Lee, Binnari Kim; J Pathol Transl Med. 2025;59(1):84-90. Published online January 15, 2025; DOI: https://doi.org/10.4132/jptm.2024.09.30

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