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The spectrum of lymphoblastic, nodal and extranodal T-cell lymphomas: Characteristic features and diagnostic dilemmas

*Corresponding author for this work
  • Stanford University
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

T-cell lymphomas represent a heterogeneous group of neoplasms that encompass considerable clinical, morphologic, and immunophenotypic variation. The diagnosis of T-cell lymphoma is challenging because of its relative rarity, the lack of an immunophenotypic marker of clonality, and significant morphologic overlap with infectious/inflammatory processes and neoplasms, including Hodgkin and other non-Hodgkin lymphomas, and even mesenchymal or epithelial lesions. In the current World Health Organization classification of hematopoietic tumors, all except 1 subtype (ie, T-lymphoblastic lymphoma) are recognized as mature neoplasms derived from postthymic T cells. In addition to T-lymphoblastic lymphoma, this review will focus on nodal and extranodal T-cell lymphomas and exclude T-cell lymphomas presenting primarily in the skin. Extranodal natural-killer-cell/T-cell lymphoma, nasal type, will also be discussed because the derivation of this lymphoma from natural killer and natural killer-like T cells shows morphologic and immunophenotypic features that overlap with other T-cell lymphomas. In this review, we discuss the salient clinicopathologic, immunophenotypic, and genetic features, as well as our approaches to the diagnosis of lymphoblastic, nodal, and extranodal T-cell lymphomas.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 451-471 (21 pages)

Journal (Volume, Issue Number)

Human Pathology (Volume 44, Issue 4)

Publication milestones

  • Published - 04/2013

Publication status

Published - 04/2013

ISSN

0046-8177

Publication IDs

  • Scopus: 84875232177
  • PubMed: 22658223

Publication metrics

Metrics

Scopus
citations
SciVal
citations
9
SciVal
FWCI
0.58
SciVal
Author count
3
SciVal
Paper percentile
64
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1

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Citation count
10
Social media
10
Captures
49