Literature DB >> 17616995

Grading of follicular lymphoma: comparison of routine histology with immunohistochemistry.

Antonio E Martinez1, Li Lin, Cherie H Dunphy.   

Abstract

CONTEXT: Follicular lymphoma (FL) grading is based on the average number of large transformed cells in 10 neoplastic follicles at x40 high-power field (x10-40 high-power field) examination (grade 1, 0-5 centroblasts per high-power field; grade 2, 6-15 centroblasts per high-power field; grade 3, >15 centroblasts per high-power field).
OBJECTIVE: Since there may be significant interobserver variability, we analyzed the usefulness of immunohistochemical stains in grading FLs more reliably.
DESIGN: Forty-three FLs initially graded by World Health Organization criteria (grade 1, 12; grade 2, 18; grade 3, 13) were reviewed and stained with CD3, CD20, Ki-67, CD30, CD68, PAX-5, and BCL-6. Retrospective review was performed for the average number of large cells, of large lymphoid cells, of large cells staining with CD3, CD20, BCL-6 (40 cases), and PAX-5, and of all cells staining with CD68, Ki-67, and CD30.
RESULTS: By histologic review, 8 of 43 FLs had a significant grade change (4 cases upgraded and 4 cases downgraded). CD3 and CD30 stained only 0 to 3 large cells and 0 to 3 cells, respectively, in neoplastic follicles. CD68+ cells represented the large nonlymphoid cells. Increasing FL grades demonstrated increases in Ki-67+ cells. The original grade showed substantial agreement with CD20 and moderate agreement with PAX-5 and BCL-6. The original histologic grade agreed with immunohistochemical-based grade using 2 or more antibodies in 5 of 8 discordant cases (4 by CD20 or BCL-6 and PAX-5; 1 by CD20, PAX-5, and BCL-6).
CONCLUSIONS: Interobserver variability of histologic FL grading may be significant; we showed low-end "substantial agreement." Immunohistochemical stains (ie, CD20, PAX-5, and BCL-6) may more reliably determine the number of large transformed cells in neoplastic follicles; Ki-67 staining correlates with higher FL grades. Immunohistochemical stains may be evaluated in clinical trials of FL patients to determine prognostic significance.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17616995     DOI: 10.5858/2007-131-1084-GOFLCO

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  6 in total

1.  Computer-aided detection of centroblasts for follicular lymphoma grading using adaptive likelihood-based cell segmentation.

Authors:  Olcay Sertel; Gerard Lozanski; Arwa Shana'ah; Metin N Gurcan
Journal:  IEEE Trans Biomed Eng       Date:  2010-06-28       Impact factor: 4.538

2.  Software-automated counting of Ki-67 proliferation index correlates with pathologic grade and disease progression of follicular lymphomas.

Authors:  Mark A Samols; Nathan E Smith; Jonathan M Gerber; Milena Vuica-Ross; Christopher D Gocke; Kathleen H Burns; Michael J Borowitz; Toby C Cornish; Amy S Duffield
Journal:  Am J Clin Pathol       Date:  2013-10       Impact factor: 2.493

3.  Survival in non-Hodgkin's lymphoma by histology and family history.

Authors:  Jianguang Ji; Asta Försti; Jan Sundquist; Per Lenner; Kari Hemminki
Journal:  J Cancer Res Clin Oncol       Date:  2009-06-17       Impact factor: 4.553

4.  Constitutive overexpression of a novel 21 kDa protein by Hodgkin lymphoma and aggressive non-Hodgkin lymphomas.

Authors:  Minglong Zhou; Faisal M Fadlelmola; Jason B Cohn; Brian Skinnider; Randy D Gascoyne; Diponkar Banerjee
Journal:  Mol Cancer       Date:  2008-01-24       Impact factor: 27.401

5.  Frequent disruption of the RB pathway in indolent follicular lymphoma suggests a new combination therapy.

Authors:  Elisa Oricchio; Giovanni Ciriello; Man Jiang; Michael H Boice; Jonathan H Schatz; Adriana Heguy; Agnes Viale; Elisa de Stanchina; Julie Teruya-Feldstein; Alyssa Bouska; Tim McKeithan; Chris Sander; Wayne Tam; Venkatraman E Seshan; Wing-Chung Chan; R S K Chaganti; Hans-Guido Wendel
Journal:  J Exp Med       Date:  2014-06-09       Impact factor: 14.307

6.  Single-cell analysis of AIMP2 splice variants informs on drug sensitivity and prognosis in hematologic cancer.

Authors:  Jayoung Ku; Ryul Kim; Dongchan Kim; Daeyoon Kim; Seulki Song; Keonyong Lee; Namseok Lee; MinA Kim; Sung-Soo Yoon; Nam Hoon Kwon; Sunghoon Kim; Yoosik Kim; Youngil Koh
Journal:  Commun Biol       Date:  2020-10-30
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.