Evidence map›Paper›PMID 34376672›Full record

ArticleNature communications2021

Chronological genome and single-cell transcriptome integration characterizes the evolutionary process of adult T cell leukemia-lymphoma.

Makoto Yamagishi, Miyuki Kubokawa, Yuta Kuze, Ayako Suzuki, Akari Yokomizo, Seiichiro Kobayashi, Makoto Nakashima, Junya Makiyama, Masako Iwanaga, Takahiro Fukuda and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

49 citing papers in PubMed, 70 citations in OpenAlex.

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  10. mGenes to cells : devoted to molecular & cellular mechanisms · 2025
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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

13 authors at 5 institutions in 1 country.

Makoto Yamagishi *Laboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Miyuki Kubokawa *Laboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Yuta KuzeLaboratory of Systems Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Ayako SuzukiLaboratory of Multi-Omics Data Analysis, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-9917-2280
Akari YokomizoLaboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Seiichiro KobayashiDepartment of Hematology, Kanto Rosai Hospital, Kanagawa, Japan.ORCID 0000-0001-7853-4537
Makoto NakashimaLaboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Junya MakiyamaDepartment of Hematology, Sasebo City General Hospital, Nagasaki, Japan.ORCID 0000-0003-0883-2920
Masako IwanagaDepartment of Clinical Epidemiology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Takahiro FukudaDepartment of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Tokyo, Japan.
Toshiki WatanabeDepartment of Practical Management of Medical Information, Graduate School of Medicine, St. Marianna University, Kanagawa, Japan.
Yutaka SuzukiLaboratory of Systems Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan. ysuzuki@edu.k.u-tokyo.ac.jp.ORCID 0000-0003-4852-1879
Kaoru UchimaruLaboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan. uchimaru@edu.k.u-tokyo.ac.jp.ORCID 0000-0002-1665-9606
The University of Tokyo · JPNagasaki University · JPSasebo City General Hospital · JPSt. Marianna University School of Medicine · JPYokohama Rosai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subclonal genetic heterogeneity and their diverse gene expression impose serious problems in understanding the behavior of cancers and contemplating therapeutic strategies. Here we develop and utilize a capture-based sequencing panel, which covers host hotspot genes and the full-length genome of human T-cell leukemia virus type-1 (HTLV-1), to investigate the clonal architecture of adult T-cell leukemia-lymphoma (ATL). For chronologically collected specimens from patients with ATL or pre-onset individuals, we integrate deep DNA sequencing and single-cell RNA sequencing to detect the somatic mutations and virus directly and characterize the transcriptional readouts in respective subclones. Characteristic genomic and transcriptomic patterns are associated with subclonal expansion and switches during the clinical timeline. Multistep mutations in the T-cell receptor (TCR), STAT3, and NOTCH pathways establish clone-specific transcriptomic abnormalities and further accelerate their proliferative potential to develop highly malignant clones, leading to disease onset and progression. Early detection and characterization of newly expanded subclones through the integrative analytical platform will be valuable for the development of an in-depth understanding of this disease.

Indexed as

AdultCell Line, TumorCell ProliferationCells, CulturedClonal EvolutionClone CellsGenome, ViralHTLV-I InfectionsHumansHuman T-lymphotropic virus 1Jurkat CellsLeukemia-Lymphoma, Adult T-CellMutationReceptor, Notch1Receptors, Antigen, T-CellRNA-SeqReceptor, Notch1Receptors, Antigen, T-CellSTAT3 Transcription Factor

Identifiers

PMID34376672
PMCPMC8355240
OpenAlexW3191418138

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.