Flow Cytometry of T cells and T-cell Neoplasms

Craig, Jeffrey W.; Dorfman, David M.

doi:10.1016/j.cll.2017.07.002

Cited by 9 publications

(9 citation statements)

References 116 publications

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“…Altered expression of the pan T-cell antigens CD2, CD3, CD5, and CD7 are frequently identified in T-cell lymphoproliferative neoplasms. 15 Only 4 cases of MEITL with flowcytometry data were reported in the English-language literature. Among them, sCD3 was positive in two cases, 16,17 positive (dim) in one case, 18 and negative in one case as described by Aoyama et al 11 The sCD3-negative case was reported to be double negative for CD4 and CD8 and negative for TIA-1, suggesting a strange immunophenotype for MEITL.…”

Section: Discussionmentioning

confidence: 99%

Surface CD3-negative monomorphic epitheliotropic intestinal T-cell lymphoma

Domoto

Araki

Ogai

et al. 2022

JCEH

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Section: Discussionmentioning

confidence: 99%

Surface CD3-negative monomorphic epitheliotropic intestinal T-cell lymphoma

Domoto

Araki

Ogai

et al. 2022

JCEH

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“…In addition, small subsets of T cells may lack CD5, e.g., CD3+CD5-γδ T cells. Some mature T-cell neoplasms can be dual CD4/8-or dual CD4/8+, which is more commonly seen in T ALL/LBL and can also be seen in some normal/reactive T-cell subsets (10,34). Altered staining intensity of T-cell antigens is more frequent than complete loss of them in T-cell and NK-cell neoplasms.…”

Section: Diagnosing Plasma Cell Leukemiamentioning

confidence: 99%

Flow Cytometry in the Diagnosis of Leukemias

2022

Leukemia

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Leukemia is a group of hematologic malignant neoplasms characterized by the proliferation of abnormal lymphoid or hematopoietic cells in the bone marrow and frequent involvement of peripheral blood and other organs. Leukemia can be classified as acute or chronic based on its rate of progression and specified as one of the many subtypes with other information incorporated according to the WHO classification. Common leukemias include acute lymphoblastic leukemia, acute myeloid leukemia, chronic lymphocytic leukemia, and chronic myeloid leukemia. With the tremendous improvement in instrumentation and reagents during the past several decades, flow cytometry has become a powerful immunophenotyping tool, and plays a critically important role in the diagnosis of various leukemias. Flow cytometry can quickly identify the abnormal cell population, characterize its phenotype, give lineage classification, make diagnosis, or narrow down Note to the Reader: This chapter is part of the book Leukemia (ISBN: 978-0-6453320-7-0), scheduled for publication in September 2022. The book is being published by Exon Publications,

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“…The incidence of lymphoma is the eighth highest of all tumors, and the mortality rate is the tenth highest in China. 1,2 Summarizing the molecular genetics 3 and molecular mechanism of lymphoma pathogenesis, 4,5 the type of molecular marker on the surface of lymphocytes, [6][7][8] the gene mutation characteristics of lymphoma cells, 9 and the type and degree of nuclear expression biomolecules in lymphoma cells 9 can assist in the clinical diagnosis of lymphoma. The World Health Organization (WHO) has developed a lymphoma classification standard based on the correlation between the biological phenotype and lymphoma disease.…”

Section: Introductionmentioning

confidence: 99%

“…Flow cytometry is the main method for analyzing single cell immunobiomarker types but is not able to systematically analyze cell markers and all cellular information. [6][7][8] In cell biomarker analysis, histiocyte immunohistochemical staining can analyze the specific single marker immunogenicity expression degree of the cell being assayed. 13,14 The tissue cell chip can be combined with immunolabeling technology to measure the expression of multiple biomarkers on the detected tissue cells simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Two-way detection of image features and immunolabeling of lymphoma cells with one-step microarray analysis

Zhao

Liu

et al. 2018

Biomicrofluidics

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Detecting the number of pathological lymphoma cells and lymphocyte subtypes in blood is helpful for clinical diagnosis and typing of lymphoma. In the current study, cell type is identified by cell morphological features and immunolabeled lymphocyte subtypes. Red blood cells and leukocytes were separated using a microfluidic cell chip based on physical blood cell parameters, and leukocytes were identified using five characteristic parameters: energy variance, entropy variance, moment of inertia variance, color mean, and cell area individually. The number of red blood cells that could come into contact with the leukocyte membrane was ≤2 based on the microfluidic injection flow rate of microfluidic chips. Anti-CD3 and anti-CD19 antibodies were used for immunofluorescence staining of T-lymphocyte and B-lymphocyte surface antigens, respectively. The results suggested that the microfluidic assay could detect lymphocyte surface antigen markers and intact leukocytes. Therefore, we report a one-step microfluidic chip for classifying hematological lymphoma cells based on the physical parameters of cells, which can simultaneously measure the overall morphology of blood cells and immunolabeling of lymphocyte surface antigens in one step, solving the current problem of detecting subtypes of hematological lymphoma cells based on multiple methods and multi-step detection.

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Flow Cytometry of T cells and T-cell Neoplasms

Cited by 9 publications

References 116 publications

Surface CD3-negative monomorphic epitheliotropic intestinal T-cell lymphoma

Surface CD3-negative monomorphic epitheliotropic intestinal T-cell lymphoma

Flow Cytometry in the Diagnosis of Leukemias

Two-way detection of image features and immunolabeling of lymphoma cells with one-step microarray analysis

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