Evidence map›Paper›PMID 29296760›Full record

ArticleBlood advances2017

Clonality of HTLV-1-infected T cells as a risk indicator for development and progression of adult T-cell leukemia.

Sanaz Firouzi, Amir Farmanbar, Kenta Nakai, Masako Iwanaga, Kaoru Uchimaru, Atae Utsunomiya, Yutaka Suzuki, Toshiki Watanabe

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

36 citing papers in PubMed, 55 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

8 authors at 5 institutions in 1 country.

Sanaz FirouziDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, and.
Amir FarmanbarDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, and.
Kenta NakaiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, and.
Masako IwanagaDepartment of Frontier Life Science, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.
Kaoru UchimaruDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, and.
Atae UtsunomiyaDepartment of Hematology, Imamura Bun-in Hospital, Kagoshima, Japan; and.
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, and.
Toshiki WatanabeDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, and.
The University of Tokyo · JPImamura Hospital · JPNagasaki University · JPSt. Marianna University School of Medicine · JPUniversity of Tokyo Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adult T-cell leukemia (ATL) is an aggressive T-cell malignancy caused by human T-cell leukemia virus type 1 (HTLV-1) that develops along a carcinogenic process involving 5 or more genetic events in infected cells. The lifetime incidence of ATL among HTLV-1-infected individuals is approximately 5%. Although epidemiologic studies have revealed risk factors for ATL, the molecular mechanisms that determine the fates of carriers remain unclear. A better understanding of clonal composition and related longitudinal dynamics would clarify the process of ATL leukemogenesis and provide insights into the mechanisms underlying the proliferation of a malignant clone. Genomic DNA samples and clinical information were obtained from individuals enrolled in the Joint Study for Predisposing Factors for ATL Development, a Japanese prospective cohort study. Forty-seven longitudinal samples from 20 individuals (9 asymptomatic carriers and 11 patients with ATL at enrollment) were subjected to a clonality analysis. A method based on next-generation sequencing was used to characterize clones on the basis of integration sites. Relationships were analyzed among clonal patterns, clone sizes, and clinical status, including ATL onset and progression. Among carriers, those exhibiting an oligoclonal or monoclonal pattern with largely expanded clones subsequently progressed to ATL. All indolent patients who progressed to acute-type ATL exhibited monoclonal expansion. In both situations, the major expanded clone after progression was derived from the largest pre-existing clone. This study has provided the first detailed information regarding the dynamics of HTLV-1-infected T-cell clones and collectively suggests that the clonality of HTLV-1-infected cells could be a useful predictive marker of ATL onset and progression.

Identifiers

PMID29296760
PMCPMC5728319
OpenAlexW2724371688

What OpenQuestion holds

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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.