Evidence map›Paper›PMID 42405269›Full record

ArticleEJHaem2026

Utility of Flow Cytometry for Prognostic Prediction in Adult T-Cell Leukemia/Lymphoma.

Shigeo Fuji, Masahito Tokunaga, Lucy Cook, Atae Utsunomiya, Junya Makiyama, Youko Suehiro, Ki-Ryang Koh, Makoto Nakashima, Yoshihisa Yamano, Kaoru Uchimaru

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Article in EJHaem, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Shigeo FujiDepartment of Hematology Osaka International Cancer Institute Osaka Japan.
Masahito TokunagaDepartment of Hematology Imamura General Hospital Kagoshima Japan.
Lucy CookNational Centre for Human Retrovirology and Department of Haematology Imperial College Healthcare NHS Trust London UK.
Atae UtsunomiyaDepartment of Hematology Imamura General Hospital Kagoshima Japan.
Junya MakiyamaDepartment of Hematology Sasebo City General Hospital Nagasaki Japan.
Youko SuehiroDepartment of Hematology and Cell Therapy National Hospital Organization Kyushu Cancer Center Fukuoka Japan.
Ki-Ryang KohDepartment of Hematology Osaka General Hospital of West Japan Railway Company Osaka Japan.
Makoto NakashimaLaboratory of Tumor Cell Biology Department of Computational Biology and Medical Sciences Graduate School of Frontier Sciences University of Tokyo Tokyo Japan.
Yoshihisa YamanoDepartment of Neurology St. Marianna University School of Medicine Kanagawa Japan.
Kaoru UchimaruLaboratory of Tumor Cell Biology Department of Computational Biology and Medical Sciences Graduate School of Frontier Sciences University of Tokyo Tokyo Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Adult T-cell leukemia/lymphoma (ATL) exhibits marked clinical heterogeneity; however, current classification primarily rely on morphology and laboratory findings and require further advancement. This study aimed to evaluate the roles of human T-lymphotropic virus type 1 (HTLV-1)-infected cell (CD4-positive T cell) analysis system using flow cytometry (HAS-Flow) and absolute CD4 count in prognostic assessment of nonaggressive ATL. Methods: We retrospectively analyzed 227 individuals with HTLV-1 infection in Japan (derivation cohort) and 81 in the United Kingdom (validation cohort). HAS-Flow categorized patients into G1-G4 groups according to the proportion of cell adhesion molecule 1 (CADM1) Results: In the derivation cohort, 4-year progression-free survival (PFS) rates were 100% for G1-G2, 94.2% for G3, and 55.7% for G4 ( Conclusion: HAS-Flow and absolute CD4 count provide additive prognostic information beyond the Shimoyama classification. Trial Registration: The authors have confirmed clinical trial registration is not needed for this submission.

Indexed as

adult T‐cell leukemia/lymphomaCD4 countflow cytometryhuman T‐lymphotropic virus type 1indolentprognostic factor

Identifiers

PMID42405269
PMCPMC13329845

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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.