Evidence map›Paper›PMID 40866237›Full record

ReviewJournal of clinical and experimental hematopathology : JCEH2025

Advances in clonality analysis of human T-cell leukemia virus type 1-infected cells: from Southern blotting to high-throughput sequencing.

Hiroo Katsuya, Yorifumi Satou, Shinya Kimura

Abstract readReview
In one paragraph

Review in Journal of clinical and experimental hematopathology : JCEH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Hiroo KatsuyaDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Yorifumi SatouDivision of Genomics & Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Shinya KimuraDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human T-cell leukemia virus type 1 (HTLV-1) causes persistent infection and can lead to adult T-cell leukemia-lymphoma (ATL), a hematological malignancy with a poor prognosis. In ATL patients, monoclonal expansion of HTLV-1-infected cells is observed. Each HTLV-1-infected clone harbors a unique proviral integration site. Based on this feature, various methods have been developed to detect and characterize HTLV-1-infected clones. Traditional Southern blotting detects monoclonal proliferation; however, it lacks sensitivity for detecting minor clones. Polymerase chain reaction (PCR)-based approaches, including inverse PCR and linker-mediated PCR, enhance sensitivity and can detect clonal proliferation even in asymptomatic carriers. The advent of high-throughput sequencing has enabled high-resolution quantitative analysis of the clonality of HTLV-1-infected cells based on proviral integration sites. Additionally, HTLV-1 DNA capture-seq allows simultaneous identification of the proviral structure and the degree of clonal abundance of the expanded infected clones. The modified non-restrictive linear amplification-mediated PCR and sequencing is a rapid and cost-effective tool for integration site analysis that is suitable for clinical application. These approaches could help analyze HTLV-1 pathogenesis, monitor clonal dynamics, and improve patient care strategies.

Indexed as

Blotting, SouthernHigh-Throughput Nucleotide SequencingHTLV-I InfectionsHuman T-lymphotropic virus 1Leukemia-Lymphoma, Adult T-CellClone CellsHumansPolymerase Chain ReactionProvirusesVirus Integrationadult T-cell leukemia-lymphomaclonality analysisDNA capture sequencingHTLV-1

Identifiers

PMID40866237
PMCPMC12598731

What Socratic holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

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 Socratic graph.