Evidence map›Paper›PMID 39884434›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2025

The Diagnostic Utility of TRBC1 Immunohistochemistry in Mature T-Cell Lymphomas.

Ting Zhou, Rohan Sardana, Ozgur Can Eren, Melissa Pulitzer, Achim Jungbluth, Ahmet Dogan, Megan S Lim

Abstract read
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ting ZhouHematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Rohan SardanaHematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Ozgur Can ErenHematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Melissa PulitzerHematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Achim JungbluthHematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Ahmet DoganHematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: dogana@mskcc.org.
Megan S LimHematopathology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: limm4@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

T-cell clonality assessment constitutes an essential part of the diagnostic evaluation of suspected T-cell neoplasms. Recent advances in flow cytometry-based analysis of TCR β-chain constant region 1 (TRBC1) have introduced an accurate method of assessment of T-cell clonality. Its broader applicability is constrained due to the requirement of viable cells. Furthermore, the utility of the TRBC1 antibody in tissue immunohistochemistry (IHC) has not been comprehensively addressed. Herein, we validated an IHC-based approach to assess T-cell clonality using formalin-fixed, paraffin-embedded tissue. Utilizing DeepLIIF image analysis, we quantified TRBC1 positivity among CD3-positive cells in a training cohort comprising 34 cases of α/β T-cell neoplasms and 29 cases of reactive lymphoid tissue as controls. In an independent validation cohort comprising 29 T-cell neoplasms and 20 controls, similar image quantification was conducted by a pathologist uninvolved in the analysis of the training cohort and blinded to the diagnoses. Receiver operating characteristic analysis of the training cohort established the optimal cutoff points for monotypic TRBC1 expression-79.0% or higher indicating monotypic positivity and 36.3% or lower denoting negativity. These thresholds demonstrated robust metrics in both the training (sensitivity 88.2%, specificity 93.1%, positive predictive value 93.8%, negative predictive value 87.1%) and the validation cohorts (sensitivity 93.1%, specificity 95.0%, positive predictive value 96.4%, negative predictive value 90.5%). TRBC1 IHC was correlated with flow cytometry in 52 cases, which demonstrated a strong quantitative correlation of TRBC1 positivity (r = 0.78; P <.001) and a high categoric agreement (85.9%) in classifying monotypic versus polytypic staining. Discrepancies in categorization were associated with low tumor percentages. Furthermore, multiplex immunofluorescence was performed in 15 cases for targeted quantification of TRBC1 expression in CD3-positive, PAX5-negative cells, achieving a concordance of 86.7% with IHC. In summary, TRBC1 IHC offers a reliable and practical complementary method for assessing T-cell clonality.

Indexed as

Biomarkers, TumorImmunohistochemistryLymphoma, T-CellReceptors, Antigen, T-Cell, alpha-betaAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsBiomarkers, TumorReceptors, Antigen, T-Cell, alpha-betaimmunohistochemistryT-cell clonalityTRBC1

Identifiers

PMID39884434
PMCPMC13000917

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.