Frequent expression of follicular dendritic cell markers in Hodgkin lymphoma and anaplastic large cell lymphoma

Kim, Soo Hee; Choe, Ji Young; Jeon, Yoonkyong; Huh, Jooryung; Jung, Hye Ra; Choi, Yoo‐Duk; Kim, Hyun-Jung; Jeong, Hee; Park, Weon Seo; Kim, Ji Eun

doi:10.1136/jclinpath-2012-201425

Cited by 11 publications

(8 citation statements)

References 35 publications

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“…Previously, to conduct studies related to biomarker positivity, researchers would first establish a hypothesis and verify it through clinical experiments, or conduct a long process of directly searching for, extracting, and collecting data through the hospital EMR and parsing the data before analysis [22][23][24][25]. Researchers often experience difficulties in securing such large volumes of data.…”

Section: Discussionmentioning

confidence: 99%

Development of biomarker positivity analysis system for cancer diagnosis based on clinical data

Yun

Hwang

Anh

et al. 2015

BME

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Abstract. In Korea, there were 224,000 new cases of cancer and 75,334 deaths caused by cancer in 2013, which was three times more than the number of death caused by heart disease, the second leading cause of death. This study proposes a biomarker positivity analysis system based on clinical data, for personalized diagnosis and therapy of cancer. Data of 78,912 cases were obtained from immunopathology and surgical pathology reports. Data on sex, age, organ, diagnosis, and biomarkers were entered into a database. To verify the reliability of the clinical data, an additional 50,450 cases from positivity-related research papers were added. The proposed biomarker positivity analysis system makes it possible to extract and combine information for searching. The positivity values are in graphical and tabular format for ease of use. With a link to the internal network of the hospital, real-time pathology reports are available. Twenty-five pathology specialists are chosen as subjects to further confirm the reliability of this system; primary assessment results demonstrate a satisfaction level of 4.7 out of 5 and a concordance rate of 79% with positive data under the same conditions as reported in the literature. In the present study, analysis methods and platforms using large volumes of clinical and literature data are developed for cancer prognoses. It is expected that these tools will benefit both healthcare professionals and non-professionals involved in cancer diagnosis and treatment.

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Section: Discussionmentioning

confidence: 99%

Development of biomarker positivity analysis system for cancer diagnosis based on clinical data

Yun

Hwang

Anh

et al. 2015

BME

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“…The lineage infidelity of Hodgkin/Reed-Sternberg cells (HRSs) often causes diagnostic problems as HRS markers are also favorable for follicular dendritic cells (FDCs). Investigation of the expression of FDC markers in HL and anaplastic large cell lymphoma (ALCL) revealed GLI3, fascin (actin-bundling protein found in membrane ruffles), and TUBB3 (a member of the beta-tubulin protein family) as the most sensitive markers, which were diffusely positive in HL [238]. A recent study from our lab reported the increased expression of GLI1 in KSHV infected primary effusion lymphoma (PEL) cells [239].…”

Section: Hh Signaling Pathways During Infections and Viral Malignanciesmentioning

confidence: 98%

Hedgehog Signaling: Implications in Cancers and Viral Infections

Iriana

Asha

Repak

et al. 2021

IJMS

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The hedgehog (SHH) signaling pathway is primarily involved in embryonic gut development, smooth muscle differentiation, cell proliferation, adult tissue homeostasis, tissue repair following injury, and tissue polarity during the development of vertebrate and invertebrate organisms. GLIoma-associated oncogene homolog (GLI) family of zinc-finger transcription factors and smoothened (SMO) are the signal transducers of the SHH pathway. Both SHH ligand-dependent and independent mechanisms activate GLI proteins. Various transcriptional mechanisms, posttranslational modifications (phosphorylation, ubiquitination, proteolytic processing, SUMOylation, and acetylation), and nuclear-cytoplasmic shuttling control the activity of SHH signaling pathway proteins. The dysregulated SHH pathway is associated with bone and soft tissue sarcomas, GLIomas, medulloblastomas, leukemias, and tumors of breast, lung, skin, prostate, brain, gastric, and pancreas. While extensively studied in development and sarcomas, GLI family proteins play an essential role in many host-pathogen interactions, including bacterial and viral infections and their associated cancers. Viruses hijack host GLI family transcription factors and their downstream signaling cascades to enhance the viral gene transcription required for replication and pathogenesis. In this review, we discuss a distinct role(s) of GLI proteins in the process of tumorigenesis and host-pathogen interactions in the context of viral infection-associated malignancies and cancers due to other causes. Here, we emphasize the potential of the Hedgehog (HH) pathway targeting as a potential anti-cancer therapeutic approach, which in the future could also be tested in infection-associated fatalities.

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“…A typical example is CHL, wherein tumour cells show unique immunophenotypic features, whose mechanisms have been explained by complex genetic alterations and activations of various signal pathways through interaction with microenvironmental cells 8 . The rare type of CHL may be positive for CD21, S100, and/or fascin, all of which are normally expressed by dendritic cells and/or macrophages, whereas representative markers for CHL, such as CD30 or PAX5, may be lost or expressed in a weaker and scattered manner 8–11 . These atypical CHL cases could be challenging and require more definitive findings to verify the diagnosis.…”

Section: Discussionmentioning

confidence: 99%

“…8 The rare type of CHL may be positive for CD21, S100, and/or fascin, all of which are normally expressed by dendritic cells and/or macrophages, whereas representative markers for CHL, such as CD30 or PAX5, may be lost or expressed in a weaker and scattered manner. [8][9][10][11] These atypical CHL cases could be challenging and require more definitive findings to verify the diagnosis. Among the non-neoplastic cells, activated T and B lymphocytes as well as endothelial cells and macrophages may be positive for CD30.…”

Section: Discussionmentioning

confidence: 99%

Hodgkinoid histiocytosis: an atypical nodal CD30 and S100‐positive histiocytosis with eosinophilia

et al. 2022

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Hodgkinoid histiocytosis: an atypical nodal CD30 and S100-positive histiocytosis with eosinophiliaHistiocytes and dendritic cells may display cytological atypia and an aberrant immunophenotype even in reactive processes. Herein, we describe two cases of "Hodgkinoid histiocytosis" that show distinctive clinicopathological features, mimicking morphologically classic Hodgkin lymphoma (CHL), but suggesting reactive histiocytic/dendritic cell proliferation in lymph nodes. Both the patients presented with peripheral lymphadenopathy and blood eosinophilia with skin manifestations. Lymph node biopsy revealed scattered large histiocytes resembling Hodgkin cells with a round or stellate shape, abundant cytoplasm, and distinct nucleoli admixed in a predominant inflammatory background. The Hodgkinoid histiocytes occasionally showed emperipolesis. They expressed CD30, S100, and PD-L1 proteins but lacked PAX5 and CD1a expressions, Epstein-Barr association, BRAF V600E mutation, and PD-L1 gene amplification. Neither of the patients showed overt progression to malignant haematopoietic neoplasms during the disease course. An identical case series of four patients has been reported to date. Both these series highlight the potential of being interpreted as CHL due to the presence of Hodgkinoid histiocytes with CD30 positivity.

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Frequent expression of follicular dendritic cell markers in Hodgkin lymphoma and anaplastic large cell lymphoma

Abstract: This study confirmed the frequent expression of FDC markers in HL and ALCL. Especially, GLI3, fascin and TUBB3 are the most sensitive markers. Further studies are required to evaluate the association between FDCs, HRSs and ALCL cells.

Cited by 11 publications

References 35 publications

Development of biomarker positivity analysis system for cancer diagnosis based on clinical data

Development of biomarker positivity analysis system for cancer diagnosis based on clinical data

Hedgehog Signaling: Implications in Cancers and Viral Infections

Hodgkinoid histiocytosis: an atypical nodal CD30 and S100‐positive histiocytosis with eosinophilia

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