Evidence map›Paper›PMID 37950425›Full record

ArticleCancer science2024

Anti-HTLV-1 immunity combined with proviral load as predictive biomarkers for adult T-cell leukemia-lymphoma.

Asami Yamada, Jun-Ichirou Yasunaga, Lihan Liang, Wenyi Zhang, Junya Sunagawa, Shinji Nakaoka, Shingo Iwami, Yasunori Kogure, Yuta Ito, Keisuke Kataoka and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Association BetweenPathogens (Basel, Switzerland) · 2025
    Pooled it
  3. Review
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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

17 authors at 10 institutions in 1 country.

Asami YamadaDepartment of Hematology, Rheumatology, and Infectious Diseases, Graduate School of Medical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Jun-Ichirou YasunagaDepartment of Hematology, Rheumatology, and Infectious Diseases, Graduate School of Medical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0002-7939-2080
Lihan LiangDepartment of Hematology, Rheumatology, and Infectious Diseases, Graduate School of Medical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Wenyi ZhangDepartment of Hematology, Rheumatology, and Infectious Diseases, Graduate School of Medical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Junya SunagawaGraduate School of Life Science, Hokkaido University, Sapporo, Japan.
Shinji NakaokaFaculty of Advanced Life Science, Hokkaido University, Sapporo, Japan.
Shingo IwamiDivision of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Yasunori KogureDivision of Molecular Oncology, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1158-5131
Yuta ItoDivision of Molecular Oncology, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0001-7259-4870
Keisuke KataokaDivision of Molecular Oncology, National Cancer Center Research Institute, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8263-9902
Masanori NakagawaKyoto Prefectural University of Medicine, Kyoto, Japan.
Masako IwanagaDepartment of Clinical Epidemiology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Atae UtsunomiyaDepartment of Hematology, Imamura General Hospital, Kagoshima, Japan.ORCID https://orcid.org/0000-0002-8843-406X
Ki-Ryang KohDepartment of Hematology, Osaka General Hospital of West Japan Railway Company, Osaka, Japan.
Toshiki WatanabeDepartment of Practical Management of Medical Information, Graduate School of Medicine, St Marianna University, Tokyo, Japan.
Kisato NosakaDepartment of Hematology, Rheumatology, and Infectious Diseases, Graduate School of Medical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0001-6682-2451
Masao MatsuokaDepartment of Hematology, Rheumatology, and Infectious Diseases, Graduate School of Medical Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0002-0473-754X
Kumamoto University · JPHokkaido University · JPEast Japan Railway (Japan) · JPImamura Hospital · JPJikei University School of Medicine · JPKeio University · JPKyoto Prefectural University of Medicine · JPNagoya University · JPSt. Marianna University School of Medicine · JPUniversity of Nagasaki · JP

Funding

Core-to-Core Program A, Advanced Research NetworksJapan Agency for Medical Research and Development 21cm0106306h0006Japan Agency for Medical Research and Development 21fk0108088h0003Japan Science and Technology Corporation JPMJMI18G1Japan Society for the Promotion of Science 19H03689Japan Society for the Promotion of Science 20H03514Japan Society for the Promotion of Science Core-to-Core Program A, Advanced Research NetworksMinistry of Education, Culture, Sports, Science and Technology 16H06277
6 · The paper itself

Abstract

Human T-cell leukemia virus type 1 (HTLV-1) establishes chronic infection in humans and induces a T-cell malignancy called adult T-cell leukemia-lymphoma (ATL) and several inflammatory diseases such as HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP). Persistent HTLV-1 infection is established under the pressure of host immunity, and therefore the immune response against HTLV-1 is thought to reflect the status of the disease it causes. Indeed, it is known that cellular immunity against viral antigens is suppressed in ATL patients compared to HAM/TSP patients. In this study, we show that profiling the humoral immunity to several HTLV-1 antigens, such as Gag, Env, and Tax, and measuring proviral load are useful tools for classifying disease status and predicting disease development. Using targeted sequencing, we found that several carriers whom this profiling method predicted to be at high risk for developing ATL indeed harbored driver mutations of ATL. The clonality of HTLV-1-infected cells in those carriers was still polyclonal; it is consistent with an early stage of leukemogenesis. Furthermore, this study revealed significance of anti-Gag proteins to predict high risk group in HTLV-1 carriers. Consistent with this finding, anti-Gag cytotoxic T lymphocytes (CTLs) were increased in patients who received hematopoietic stem cell transplantation and achieved remission state, indicating the significance of anti-Gag CTLs for disease control. Our findings suggest that our strategy that combines anti-HTLV-1 antibodies and proviral load may be useful for prediction of the development of HTLV-1-associated diseases.

Indexed as

Human T-lymphotropic virus 1Leukemia-Lymphoma, Adult T-CellParaparesis, Tropical SpasticAdultBiomarkersHumansProvirusesViral LoadBiomarkersATLgagHAM/TSPHTLV-1tax

Identifiers

PMID37950425
PMCPMC10823268
OpenAlexW4388597138

What Socratic 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 Socratic graph.