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Brain stereotactic biopsy flow cytometry for central nervous system lymphoma characterization: advantages and pitfalls

Overview of attention for article published in Journal of Experimental & Clinical Cancer Research, August 2016
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Title
Brain stereotactic biopsy flow cytometry for central nervous system lymphoma characterization: advantages and pitfalls
Published in
Journal of Experimental & Clinical Cancer Research, August 2016
DOI 10.1186/s13046-016-0404-1
Pubmed ID
Authors

Iole Cordone, Serena Masi, Mariantonia Carosi, Antonello Vidiri, Francesco Marchesi, Mirella Marino, Stefano Telera, Alessia Pasquale, Andrea Mengarelli, Laura Conti, Edoardo Pescarmona, Andrea Pace, Carmine M. Carapella

Abstract

Brain stereotactic biopsy (SB) followed by conventional histopathology and immunohistochemistry (IHC) is the gold standard approach for primary central nervous system lymphoma (PCNSL) diagnosis. Flow cytometry (FCM) characterization of fine-needle aspiration cytology and core needle biopsies are increasingly utilized to diagnose lymphomas however, no biological data have been published on FCM characterization of fresh single cell suspension from PCNSL SB. The aim of this study was to establish the feasibility and utility of FCM for the diagnosis and characterization of brain lymphomas from a tissue samples obtained by a single SB disaggregation. Twenty-nine patients with a magnetic resonance suggestive for PCNSL entered the study. A median of 6 SB were performed for each patient. A cell suspension generated from manual tissue disaggregation of a single, unfixed, brain SB, was characterized by FCM. The FCM versus standard approach was prospectively compared. FCM and IHC showed an high degree of agreement (89 %) in brain lymphoma identification. By FCM, 16 out of 18 PCNSL were identified within 2 h from biopsy. All were of B cell type, with a heterogeneous CD20 mean fluorescence intensity (MFI), CD10 positive in 3 cases (19 %) with surface Ig light chain restriction documented in 11 cases (69 %). No false positive lymphomas cases were observed. Up to 38 % of the brain leukocyte population consisted of CD8 reactive T cells, in contrast with the CD4 positive lymphocytes of the peripheral blood samples (P < 0.001). By histopathology, 18 B-PCNSL, only one CD10 positive (5 %), 1 primitive neuroectodermal tumor (PNET) and 10 gliomas were diagnosed. A median of 6 days was required for IHC diagnosis. Complementary to histopathology FCM can contribute to a better characterization of PCNSL, although necrosis and previous steroid treatment can represent a pitfall of this approach. A single brain SB is a valid source for accurate FCM characterization of both lymphoma and reactive lymphocyte population, routinely applicable for antigen intensity quantification and consistently documenting an active mechanism of reactive CD8 T-lymphocytes migration in brain lymphomas. Moreover, FCM confirmed to be more sensitive than IHC for the identification of selected markers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 10 19%
Student > Master 7 13%
Student > Bachelor 5 10%
Student > Doctoral Student 4 8%
Student > Ph. D. Student 3 6%
Other 7 13%
Unknown 16 31%
Readers by discipline Count As %
Medicine and Dentistry 19 37%
Neuroscience 8 15%
Nursing and Health Professions 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Agricultural and Biological Sciences 1 2%
Other 4 8%
Unknown 16 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2016.
All research outputs
#17,235,172
of 25,371,288 outputs
Outputs from Journal of Experimental & Clinical Cancer Research
#1,244
of 2,378 outputs
Outputs of similar age
#228,252
of 349,666 outputs
Outputs of similar age from Journal of Experimental & Clinical Cancer Research
#11
of 33 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,378 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 349,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.