Lymph Node Fine-Needle Cytology of Non-Hodgkin Lymphoma: Diagnosis and Classification by Flow Cytometry

2016 ◽  
Vol 60 (4) ◽  
pp. 302-314 ◽  
Author(s):  
Immacolata Cozzolino ◽  
Monia Rocco ◽  
Giancarlo Villani ◽  
Marco Picardi
Keyword(s):  
Flow Cytometry ◽  
Lymph Node ◽  
Detailed Analysis ◽  
Hodgkin Lymphoma ◽  
Diagnostic Algorithm ◽  
Fine Needle ◽  
Fine Needle Cytology ◽  
Non Hodgkin Lymphoma ◽  
Diagnosis And Classification

In the last decades, lymph node fine-needle cytology (FNC), coupled with flow cytometry (FC), has gained a role in the diagnosis and classification of non-Hodgkin lymphoma (NHL). The combination of FNC/FC allows the diagnosis and classification of NHL in lymph node samples with a high sensitivity and specificity by combining cytological features and specific phenotypic profiles. The present review provides a brief technical description of FC and a detailed analysis of the current markers and their combinations (diagnostic algorithm) for the diagnosis and classification of NHL. The basic principles of clonality assessment, as well as the diagnostic strengths and weaknesses of the procedure, are reported. The current diagnostic algorithms for NHL classification are critically reviewed with a focus on specific problems related to single entities. Moreover, this review provides a detailed analysis of the different clinical contexts in which FNC/FC is performed and related implications. Future and further applications of FNC/FC for NHL are also discussed.

Fine-needle cytology and flow cytometry immunophenotyping and subclassification of non-hodgkin lymphoma

Cancer ◽  
2003 ◽  
Vol 102 (1) ◽  
pp. 55-65 ◽  
Author(s):  
Pio Zeppa ◽  
Gilda Marino ◽  
Giancarlo Troncone ◽  
Franco Fulciniti ◽  
Amalia De Renzo ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Hodgkin Lymphoma ◽  
Fine Needle ◽  
Fine Needle Cytology ◽  
Non Hodgkin Lymphoma

STUDY OF HISTOPATHOLOGY IN PATIENTS WITH HODGKIN AND NON - HODGKIN LYMPHOMA

2016 ◽  
pp. 59-65 ◽  
Author(s):  
Van Mao Nguyen
Keyword(s):  
Lymph Node ◽  
Hodgkin Lymphoma ◽  
Cross Sectional Study ◽  
University Hospital ◽  
Cross Sectional ◽  
Histopathological Classification ◽  
Non Hodgkin Lymphoma ◽  
Key Words Lymphoma ◽  
Malignant Grade

Background: Lymphoma is one of the most ten common cancers in the world as well as in Vietnam which has been ever increasing. It was divided into 2 main groups Hodgkin and non – Hodgkin lymphoma in which non-Hodgkin lymphoma appeared more frequency, worse prognosis and different therapy. Objectives: - To describe some common characteristics in patients with non – Hodgkin lymphoma; - To determine the proportion between Hodgkin and non- Hodgkin lymphoma, histopathological classification of classical Hodgkin by modified Rye 1966 and non-Hodgkin lymphoma by Working Formulation (WF) of US national oncology institute 1982. Materials and Method: This cross-sectional study was conducted on 65 patients with Hodgkin and non- Hodgkin lymphoma diagnosed definitely by histopathology at Hue Central Hospital and Hue University Hospital. Results:. The ratio of male/female for the non-Hodgkin lymphoma was 1.14/1, the most frequent range of age was 51-60 accounting for 35%, not common under 40 years. Non - Hodgkin lymphoma appeared at lymph node was the most common (51.7%), at the extranodal site was rather high 48.3%. The non - Hodgkin lymphoma proportion was predominant 92.3% comparing to the Hodgkin lymphoma only 7.7%; The most WF type was WF7 (53.3%), following the WF6 18,3% and WF5 11,7%; The intermediate malignancy grade of non- Hodgkin lymphoma was the highest proportion accouting for 85%, then the low and the high one 8.3% and 6.7% respectively. Conclusion: The histopathological classification and the malignant grade of lymphoma for Hodgkin and non - Hodgkin lymphoma played a practical role for the prognosis and the treatment orientation, also a fundamental one for the modern classification of non - Hodgkin lymphoma nowadays. Key words: lymphoma, Hodgkin lymphoma, non-Hodgkin lymphoma, classication, grade, histopathology, lymph node

The Value of Fluorescence In Situ Hybridization and Polymerase Chain Reaction in the Diagnosis of B-Cell Non-Hodgkin Lymphoma by Fine-Needle Aspiration

2004 ◽  
Vol 128 (12) ◽  
pp. 1395-1403 ◽  
Author(s):  
Anne M. Safley ◽  
Patrick J. Buckley ◽  
Andrew J. Creager ◽  
Rajesh C. Dash ◽  
Leslie G. Dodd ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
B Cell ◽  
Hodgkin Lymphoma ◽  
Fine Needle Aspiration ◽  
Cell Lymphoma ◽  
Molecular Genetic ◽  
Needle Aspiration ◽  
Low Grade ◽  
Fine Needle ◽  
Non Hodgkin Lymphoma

Abstract Context.—Molecular genetic analyses have been predicted to improve the diagnostic accuracy of fine-needle aspiration of B-cell non-Hodgkin lymphoma. Objective.—To determine the value of routine molecular genetic assays, polymerase chain reaction (PCR) and fluorescence in situ hybridization (FISH), in the diagnosis of B-cell non-Hodgkin lymphoma by fine-needle aspiration (FNA). Design.—A multiparametric method, including cytology, flow cytometry, PCR, and FISH, was prospectively evaluated in the diagnosis of B-cell non-Hodgkin lymphoma by FNA. Aspirates from 30 consecutive patients with suspected hematolymphoid malignancies were collected. All aspirates were triaged through a uniform program including cell-size analysis, B- and T-cell clonality studies, flow cytometric immunophenotyping, and bcl-1 and bcl-2 gene rearrangements by PCR and FISH. After completion of FNA evaluations, FNA results were compared with diagnoses from prior or subsequent surgical biopsies. Results.—Monoclonal B-cell populations were detected in 18 of 20 B-cell non-Hodgkin lymphomas by flow cytometry and PCR. bcl-1 gene rearrangement was detected in 2 of 2 cases of mantle cell lymphoma. bcl-2 rearrangement was detected in 5 cases including 4 of 4 low-grade follicular lymphomas and 1 transformed follicular lymphoma. By incorporating the results of molecular genetic and ancillary diagnostics, a definitive classification was reached in 12 cases of B-cell non-Hodgkin lymphoma by FNA, including all cases of low-grade follicular lymphoma (4/4) and mantle cell lymphoma (2/2) and approximately 50% of small lymphocytic lymphoma (2/4) and large B-cell lymphoma (4/8). Ten of the 12 cases with a final classification reached by FNA had either prior or follow-up surgical biopsies, and all 10 cases showed agreement between the diagnoses rendered on FNA and surgical biopsies. Conclusions.—With proper handling and management of specimens, FNA can routinely provide samples adequate for molecular genetic studies, in addition to cytomorphology and flow cytometry, making it possible to consistently render accurate and definitive diagnoses in a subset of B-cell non-Hodgkin lymphomas. By incorporating FISH and PCR methods, FNA may assume an expanded role for the primary diagnosis of B-cell non-Hodgkin lymphoma.

Flow Cytometric Analysis of Lymphomas: Current Status and Usefulness

2006 ◽  
Vol 130 (12) ◽  
pp. 1850-1858
Author(s):  
Zahid Kaleem
Keyword(s):  
Flow Cytometry ◽  
Hodgkin Lymphoma ◽  
Flow Cytometric Analysis ◽  
Molecular Diagnostic ◽  
Routine Practice ◽  
Becton Dickinson ◽  
Color Flow ◽  
Non Hodgkin Lymphoma ◽  
Flow Cytometric ◽  
Diagnosis And Classification

Abstract Context.—Immunophenotyping has become a routine practice in the diagnosis and classification of most cases of non-Hodgkin lymphoma, and flow cytometry is often the method of choice in many laboratories. The role that flow cytometry plays, however, extends beyond just diagnosis and classification. Objective.—To review and evaluate the current roles of flow cytometry in non-Hodgkin lymphoma, to compare it with immunohistochemistry, and to discuss its potential future applications in the molecular diagnostic era. Data Sources.—The information contained herein is derived from peer-reviewed articles on the subject published in the English-language medical literature during the years 1980 to 2005 that were identified using PubMed (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi, 1980–2005) search, various books and other sources on flow cytometry, and the author's personal experience of more than 10 years with flow cytometric analysis of lymphomas and leukemia using Becton-Dickinson (San Jose, Calif) and Beckman-Coulter (Miami, Fla) flow cytometers. Study Selection.—Studies were selected based on adequate material and methods, statistically significant results, and adequate clinical follow-up. Data Extraction.—The data from various sources were compared when the methods used were the same or similar and appropriate controls were included. Most of the studies employed 2-color, 3-color, or 4-color flow cytometers with antibodies from Becton-Dickinson, Beckman-Coulter, or DakoCytomation (Carpinteria, Calif). Results were evaluated from studies utilizing the same or similar techniques and flow cytometers. Only objective data analyses from relevant and useful publications were included for reporting and discussion. Data Synthesis.—Flow cytometry serves a variety of roles in the field of lymphoma/leukemia including rapid diagnosis, proper classification, staging, minimal residual disease detection, central nervous system lymphoma detection, evaluation of prognostic markers, detection of target molecules for therapies, ploidy analysis of lymphoma cell DNA, and evaluation of multidrug-resistance markers. It offers many advantages in comparison to immunohistochemistry for the same roles and provides uses that are either not possible or not preferable by immunohistochemistry such as multiparameter evaluation of single cells and detection of clonality in T cells. Conclusions.—By virtue of its ability to evaluate not only surface but also cytoplasmic and nuclear antigens, flow cytometry continues to enjoy widespread use in various capacities in lymphoma evaluation and treatment. Additional roles for flow cytometry are likely to be invented in the future and should provide distinctive uses in the molecular era.

Utility of Flow Cytometry Immunophenotyping in Fine-needle Aspirate Cytologic Diagnosis of Non-Hodgkin Lymphoma

2010 ◽  
Vol 18 (4) ◽  
pp. 311-322 ◽  
Author(s):  
Anna Demurtas ◽  
Grazia Accinelli ◽  
Donatella Pacchioni ◽  
Laura Godio ◽  
Domenico Novero ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Hodgkin Lymphoma ◽  
Fine Needle Aspirate ◽  
Cytologic Diagnosis ◽  
Fine Needle ◽  
Non Hodgkin Lymphoma

B-cell non-Hodgkin lymphoma and pseudo-Gaucher cells in a lymph node fine needle aspiration

Cytopathology ◽  
2015 ◽  
Vol 27 (2) ◽  
pp. 134-136 ◽  
Author(s):  
I. Cozzolino ◽  
M. Picardi ◽  
S. Pagliuca ◽  
G. Ciancia ◽  
L. Luigia ◽  
...  
Keyword(s):  
Lymph Node ◽  
B Cell ◽  
Hodgkin Lymphoma ◽  
Fine Needle Aspiration ◽  
Needle Aspiration ◽  
Fine Needle ◽  
Non Hodgkin Lymphoma

scholarly journals Lymph Node Fine-Needle Cytology: Beyond Flow Cytometry

2016 ◽  
Vol 60 (4) ◽  
pp. 372-384 ◽  
Author(s):  
Anna Lucia Peluso ◽  
Antonio Ieni ◽  
Chiara Mignogna ◽  
Pio Zeppa
Keyword(s):  
Flow Cytometry ◽  
In Situ Hybridization ◽  
Lymph Node ◽  
New Technologies ◽  
Cell Receptor ◽  
Diagnostic Tools ◽  
Comparative Genomic ◽  
Fine Needle ◽  
Fine Needle Cytology

Lymph node (LN) fine-needle cytology (FNC) coupled with flow cytometry immunophenotyping provides relevant information for the diagnosis of non-Hodgkin lymphoma (NHL). Numerous studies have shown FNC samples to be suitable for different molecular procedures; in this review, some of the molecular procedures most commonly employed for NHL are briefly described and evaluated in this perspective. Fluorescence in situ hybridization and chromogenic in situ hybridization are briefly described. Polymerase chain reaction (PCR)-based assays are used to identify and quantify mutations and translocations, namely immunoglobulin (IGH) and T-cell receptor rearrangements by clonality testing and IGVH somatic hypermutations either by Sanger sequencing, single-strand conformational polymorphisms or RT-PCR strategies. High-throughput technologies (HTT) encompass numerous and different diagnostic tools that share the capacity of multiple molecular investigation and sample processing in a fast and reproducible manner. HTT includes gene expression profiling, comparative genomic hybridization, single-nucleotide polymorphism arrays and next-generation sequencing technologies. A brief description of these tools and their potential application to LN FNC is reported. The challenge for FNC will be to achieve new knowledge and apply new technologies to FNC, exploiting its own basic qualities.

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