Evidence map›Paper›PMID 25501021›Full record

ArticleBlood cancer journal2014

Reduced TET2 function leads to T-cell lymphoma with follicular helper T-cell-like features in mice.

H Muto, M Sakata-Yanagimoto, G Nagae, Y Shiozawa, Y Miyake, K Yoshida, T Enami, Y Kamada, T Kato, K Uchida and 8 more

Open access · goldAbstract read
In one paragraph

Article in Blood cancer journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

58 citing papers in PubMed, 95 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Clones in blood and stratified epithelial cells, and their drivers.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2025
    Review
  8. Article
  9. Review
  10. Review
  11. Clonal hematopoiesis and bone marrow inflammation.Translational research : the journal of laboratory and clinical medicine · 2023
    Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. The role of epigenetics in T-cell lymphoma.International journal of hematology · 2022
    Review
  19. Role of TET dioxygenases in the regulation of both normal and pathological hematopoiesis.Journal of experimental & clinical cancer research : CR · 2022
    Review
  20. Epigenetic Alterations in Inborn Errors of Immunity.Journal of clinical medicine · 2022
    Review
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

18 authors at 5 institutions in 1 country.

H Muto1] Department of Hematology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan [2] Graduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Ibaraki, Japan.
M Sakata-Yanagimoto1] Department of Hematology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan [2] Graduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Ibaraki, Japan [3] Faculty of Medicine, Department of Hematology, University of Tsukuba, Tsukuba, Ibaraki, Japan.
G NagaeGenome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo, Japan.
Y ShiozawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Y MiyakeGraduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Ibaraki, Japan.
K YoshidaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
T EnamiGraduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Y KamadaGraduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Ibaraki, Japan.
T Kato1] Graduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Ibaraki, Japan [2] Faculty of Medicine, Department of Hematology, University of Tsukuba, Tsukuba, Ibaraki, Japan [3] Life Science center, Tsukuba Advanced Research Alliance, University of Tsukuba, Tsukuba, Ibaraki, Japan.
K UchidaDepartment of Molecular Biological Oncology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
T NanmokuDepartment of Clinical Laboratory, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan.
N Obara1] Department of Hematology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan [2] Graduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Ibaraki, Japan [3] Faculty of Medicine, Department of Hematology, University of Tsukuba, Tsukuba, Ibaraki, Japan.
K Suzukawa1] Department of Hematology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan [2] Graduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Ibaraki, Japan [3] Faculty of Medicine, Department of Hematology, University of Tsukuba, Tsukuba, Ibaraki, Japan [4] Department of Clinical Laboratory, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan.
M SanadaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
N NakamuraDepartment of Pathology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
H AburataniGenome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo, Japan.
S OgawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
S Chiba1] Department of Hematology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan [2] Graduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Ibaraki, Japan [3] Faculty of Medicine, Department of Hematology, University of Tsukuba, Tsukuba, Ibaraki, Japan [4] Life Science center, Tsukuba Advanced Research Alliance, University of Tsukuba, Tsukuba, Ibaraki, Japan.
University of Tsukuba · JPKyoto University · JPUniversity of Tsukuba Hospital · JPThe University of Tokyo · JPTokai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TET2 (Ten Eleven Translocation 2) is a dioxygenase that converts methylcytosine (mC) to hydroxymethylcytosine (hmC). TET2 loss-of-function mutations are highly frequent in subtypes of T-cell lymphoma that harbor follicular helper T (Tfh)-cell-like features, such as angioimmunoblastic T-cell lymphoma (30-83%) or peripheral T-cell lymphoma, not otherwise specified (10-49%), as well as myeloid malignancies. Here, we show that middle-aged Tet2 knockdown (Tet2(gt/gt)) mice exhibit Tfh-like cell overproduction in the spleen compared with control mice. The Tet2 knockdown mice eventually develop T-cell lymphoma with Tfh-like features after a long latency (median 67 weeks). Transcriptome analysis revealed that these lymphoma cells had Tfh-like gene expression patterns when compared with splenic CD4-positive cells of wild-type mice. The lymphoma cells showed lower hmC densities around the transcription start site (TSS) and higher mC densities at the regions of the TSS, gene body and CpG islands. These epigenetic changes, seen in Tet2 insufficiency-triggered lymphoma, possibly contributed to predated outgrowth of Tfh-like cells and subsequent lymphomagenesis. The mouse model described here suggests that TET2 mutations play a major role in the development of T-cell lymphoma with Tfh-like features in humans.

Indexed as

AnimalsCell Transformation, NeoplasticDioxygenasesDNA-Binding ProteinsGene Knockdown TechniquesHumansLymphoma, FollicularLymphoma, T-CellMiceMice, TransgenicMutationNeoplasms, ExperimentalProto-Oncogene ProteinsT-Lymphocytes, Helper-InducerDioxygenasesDNA-Binding ProteinsProto-Oncogene ProteinsTet2 protein, mouse

Identifiers

PMID25501021
PMCPMC4315889
OpenAlexW2088734399

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.