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Phenotypic overlaps between pleomorphic malignant T-cell lymphomas and mixed-cellularity Hodgkin's disease
P Tosi1, L Leoncini, M T Del Vecchio
1Institute of Pathologic Anatomy and Histology, University of Siena, Italy.
International Journal of Cancer
|September 9, 1992
Summary
Distinguishing malignant pleomorphic peripheral T-cell lymphomas (pPTCLs) and mixed-cellularity Hodgkin's disease (MCHD) is challenging. While traditional histology is best, quantitative methods reveal overlapping features and intermediate phenotypes, highlighting lymphoma heterogeneity.
Area of Science:
- Hematopathology
- Oncology
- Immunohistochemistry
Background:
- Malignant lymphomas encompass diverse subtypes with overlapping histological features.
- Accurate differentiation of pleomorphic peripheral T-cell lymphomas (pPTCLs) and mixed-cellularity Hodgkin's disease (MCHD) is crucial for patient management.
- Classical histomorphology can be insufficient for definitive diagnosis in some cases.
Purpose of the Study:
- To objectively compare pPTCLs and MCHD using combined immunohistochemistry and quantitative morphometry.
- To identify discriminant features that aid in distinguishing these lymphoma subtypes.
- To evaluate the diagnostic utility of quantitative methods in challenging cases.
Main Methods:
- Combined immunohistochemistry on paraffin sections.
- Test-point analysis of tissue components.
- Semi-automated nuclear morphometry on semi-thin resin sections.
Main Results:
- Classical histomorphology remains a valid and primary diagnostic method.
- Quantitative features, including CD marker expression (CD45R0, CD43, CD45 in pPTCLs; CD30, CD15 in MCHD) and nuclear morphometry (LAC nuclear-profile areas), showed significant differences.
- Stepwise discriminant analysis revealed considerable overlap, with questionable cases exhibiting intermediate phenotypes.
Conclusions:
- Intra-group heterogeneity exists within both pPTCLs and MCHD.
- Indistinct borders and intermediate phenotypes complicate the distinction between these lymphoma categories.
- Quantitative analyses support and expand the understanding of lymphoma heterogeneity and diagnostic challenges.