Aims: International consensus diagnostic criteria for idiopathic multicentric Castleman disease (iMCD) includes lymph node Castleman disease (CD) histopathological features as major criteria. Our aim was to apply those criteria in a series of 42 cases with CD to find differences among unicentric CD, iMCD, HHV-8+multicentric CD (HHV-8+MCD) and POEMS/plasma cell neoplasia (PCN)-associated CD.
Methods: Available clinical and laboratory criteria were collected. Histopathological features (germinal centre hyperplasia/regression, plasmacytosis, hypervascularity and follicular dendritic cell (FDC) prominence) were graded and immunohistochemistry with antibodies against CD20, CD3, CD138, HHV-8, Ig isotype (IgG, IgG4, IgA, IgM, IgD), kappa, lambda was performed in all cases.
Results: Fourteen cases had hyaline-vascular type unicentric CD, 15 were HHV-8+MCD, 7 cases PCN/POEMS-associated CD and 5 cases were iMCD. One case was consistent with systemic lupus erythematosus (SLE) lymphadenopathy. Differences in grading of the CD-associated histopathological features showed that FDC proliferation was prominent in unicentric CD, hypervascularity was increased in HHV-8 positive MCD and germinal centre hyperplasia was restricted to iMCD cases and SLE. Monotypic plasma cells were readily identifiable in the lymph node biopsies in 43% of PCN/POEMS-associated CD. All three cases had lambda light chain restriction with IgA (two cases) and IgG (one case) isotypes.
Conclusions: HHV-8+ MCD and PCN/POEMS-related CD are the major mimickers of iMCD in lymph node biopsies. Grading of the five histopathological features for CD might be useful to, in conjunction with complete ancillary testing, suggest for specific disease entities.
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http://dx.doi.org/10.1136/jcp-2022-208696 | DOI Listing |
Support Care Cancer
January 2025
Oral Diagnosis Department, Faculdade de Odontolodia de Piracicaba, Universidade de Campinas (UNICAMP), Piracicaba, São Paulo, Brazil.
Purpose: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM risk in patients undergoing head and neck radiotherapy.
View Article and Find Full Text PDFOphthalmologie
January 2025
Zentrum für Augenheilkunde, Medizinische Fakultät und Universitätsklinikum Köln, Universität zu Köln, Kerpener Str. 62, 50937, Köln, Deutschland.
Background: Orbital lymphomas are the most frequently occurring malignant tumor entities in this region. They are less frequently also localized in the ocular adnexa and show a high entity-specific heterogeneity regarding the treatment and prognosis.
Objective: This article gives an overview of the heterogeneity of symptoms of orbital lymphoma and lymphoma of the ocular adnexa and focuses on new systemic options for treatment of this disease.
Ann Hematol
January 2025
Department of General Practice (General Internal Medicine), Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1, Shuaifuyuan, Wangfujing St. Beijing, Beijing, 100730, China.
Recognizing and diagnosing lymphoma in patients with fever of unknown origin (FUO) can be challenging, and misdiagnosis is not uncommon. To improve understanding of the clinical characteristics of lymphoma patients presenting with FUO who were misdiagnosed with autoimmune diseases. A retrospective, observational study of 140 consecutive patients with FUO and lymphoma presenting to a tertiary center between January 2017 and December 2023.
View Article and Find Full Text PDFAdv Clin Exp Med
January 2025
Educational and Scientific Center (ESC) "Institute of Biology and Medicine", Taras Shevchenko National University of Kyiv, Ukraine.
Background: The search for early and minimally invasive diagnostic approaches to pancreatic cancer (PC) remains an important issue. One of the most promising directions is to find a sensitive key in the metabolic changes during widespread causes of PC, i.e.
View Article and Find Full Text PDFJ Dent Sci
December 2024
Blood Transfusion Haematology Hospital No. 2, Ho Chi Minh City, Viet Nam.
Background/purpose: Oral squamous cell carcinoma (OSCC) is notorious for its low survival rates, due to the advanced stage at which it is commonly diagnosed. To enhance early detection and improve prognostic assessments, our study harnesses the power of machine learning (ML) to dissect and interpret complex patterns within mRNA-sequencing (RNA-seq) data and clinical-histopathological features.
Materials And Methods: 206 retrospective Vietnamese OSCC formalin-fixed paraffin-embedded (FFPE) tumor samples, of which 101 were subjected to RNA-seq for classification based on gene expression.
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