Evidence map›Paper›PMID 36466894›Full record

ArticleFrontiers in immunology2022

Differential diagnosis and identification of prognostic markers for peripheral T-cell lymphoma subtypes based on flow cytometry immunophenotype profiles.

Qiyao Pu, Jie Qiao, Yuke Liu, Xueyan Cao, Ran Tan, Dongyao Yan, Xiaoqian Wang, Jiwei Li, Baohong Yue

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 22 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Qiyao PuDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jie QiaoDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yuke LiuDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xueyan CaoSchool of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Ran TanDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Dongyao YanDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xiaoqian WangDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jiwei LiDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Baohong YueDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
First Affiliated Hospital of Zhengzhou University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compared the differential expression of 15 markers in PTCL (Peripheral T-cell lymphoma) subtypes and T-CUS (T-cell clones of uncertain significance), and summarized the specific immunophenotype profiles of each subtype and its impact on prognosis. PD-1 and CD10 are diagnostic markers for AITL (angioimmunoblastic T-cell lymphoma). To avoid confusion with T-CUS of benign clones, it is recommended to define AITL as bounded by PD-1+%>38.01 and/or CD10+%>7.46. T cell-derived ENKTL-N (extranodal NKT cell lymphoma) specifically expresses CD56. ALCL (anaplastic large cell lymphoma) characteristically expresses CD30 and HLA-DR. PTCL-NOS (peripheral T-cell lymphoma unspecified) still lacks a relatively specific phenotype and is prone to loss of basic lineage markers CD3, CD5, and CD7. The determination of T-CUS can be verified by the overall assessment of the bone marrow and a certain period of follow-up. The clustering results showed that the expression of 8 specific markers was significantly different among the 5 groups, suggesting that a combination of related markers can be analyzed in the identification of PTCLs subtypes. The study explores the advantages of TRBC1 combined with CD45RA/CD45RO in detecting T cell clonality, which can efficiently and sensitively analyze multiple target T cell populations at the same time. The sensitivity of PB to replace BM to monitor the tumor burden or MRD (minimal residual disease) of PTCLs is as high as 85.71%, which can relieve the huge pressure of clinical sampling and improve patient compliance. CD7, CD38, and Ki-67 are prognostic indicators for AITL. CD3 and CD8 on PTCL-NOS, and CD56 and HLA-DR on ENKTL-N have prognostic role. This study supports and validates the current classification of PTCL subtypes and establishes an immunophenotypic profile that can be used for precise diagnosis. The important clinical value of PTCLs immunophenotype in routine classification diagnosis, clonality confirmation, prognosis prediction, and treatment target selection was emphasized.

Indexed as

Lymphoma, Extranodal NK-T-CellLymphoma, T-Cell, PeripheralDiagnosis, DifferentialFlow CytometryHumansLeukocyte Common AntigensNeoplasm, ResidualNeprilysinPrognosisProgrammed Cell Death 1 ReceptorLeukocyte Common AntigensNeprilysinProgrammed Cell Death 1 ReceptorAITCLdifferential diagnosisFCM immunophenotypeperipheral T-cell lymphomaprognostic markertargeted therapyT-CUS

Identifiers

PMID36466894
PMCPMC9715969
OpenAlexW4309461055

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LicenceCC BY
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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.