Evidence map›Paper›PMID 29894691›Full record

ArticleCancer cell2018

Th9 Cells Represent a Unique Subset of CD4

Yong Lu, Qiang Wang, Gang Xue, Enguang Bi, Xingzhe Ma, Aibo Wang, Jianfei Qian, Chen Dong, Qing Yi

Erratum issuedAbstract read
In one paragraph

Article in Cancer cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 109 papers.

0numbers the graph read from it
0cells of the map it votes in
109citing 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

109 citing papers in PubMed.

  1. CD4Cell death & disease · 2022
    Trial
  2. Review
  3. FOXP1 Knockdown Reprograms Th9 CAR-T Cells to Overcome Antigen Escape.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Natural lung-tropic TJournal for immunotherapy of cancer · 2024
    Article
  18. Review
  19. Article
  20. Article

49 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yong LuDepartment of Microbiology & Immunology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA; Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA. Electronic address: yolu@wakehealth.edu.
Qiang WangDepartment of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
Gang XueDepartment of Microbiology & Immunology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.
Enguang BiDepartment of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
Xingzhe MaDepartment of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
Aibo WangInstitute for Immunology and School of Medicine, Tsinghua University, Beijing 100084, China.
Jianfei QianDepartment of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
Chen DongInstitute for Immunology and School of Medicine, Tsinghua University, Beijing 100084, China.
Qing YiDepartment of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA. Electronic address: yiq@ccf.org.

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Targeting Plasmacytoid Dendritic Cells to Treat Human MyelomaR01CA163881 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YI, QING · 2012 to 2016
$2.0M
Role of MIF in myeloma bone homing and drug responseR01CA211073 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI YI, QING · 2017 to 2021
$1.8M
A novel T-cell subset able to kill relapsed cancersR01CA200539 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI YI, QING · 2016 to 2020
$1.8M
C-reactive protein promotes myeloma cell-mediated bone destructionR01CA138398 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YI, QING · 2010 to 2014
$1.6M
Th9 cells as a promising effector T-cell subset for cancer therapyR00CA190910 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LU, YONG · 2017 to 2019
$747k
Th9 cells as a promising effector T-cell subset for cancer therapyK99CA190910 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI LU, YONG · 2015 to 2016
$185k
NCI NIH HHS K99 CA190910NCI NIH HHS P30 CA012197NCI NIH HHS R00 CA190910NCI NIH HHS R01 CA138398NCI NIH HHS R01 CA163881NCI NIH HHS R01 CA200539NCI NIH HHS R01 CA211073
6 · The paper itself

Abstract

The antitumor effector T helper 1 (Th1) and Th17 cells represent two T cell paradigms: short-lived cytolytic Th1 cells and "stem cell-like" memory Th17 cells. We report that Th9 cells represent a third paradigm-they are less-exhausted, fully cytolytic, and hyperproliferative. Only tumor-specific Th9 cells completely eradicated advanced tumors, maintained a mature effector cell signature with cytolytic activity as strong as Th1 cells, and persisted as long as Th17 cells in vivo. Th9 cells displayed a unique Pu.1-Traf6-NF-κB activation-driven hyperproliferative feature, suggesting a persistence mechanism rather than an antiapoptotic strategy. Th9 antitumor efficacy depended on interleukin-9 and upregulated expression of Eomes and Traf6. Thus, tumor-specific Th9 cells are a more effective CD4

Indexed as

AnimalsCD4-Positive T-LymphocytesCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticImmunotherapy, AdoptiveInterleukin-9Melanoma, ExperimentalMice, Inbred C57BLMice, KnockoutNF-kappa BProto-Oncogene ProteinsProto-Oncogene Protein Spi-1T-Lymphocytes, Helper-InducerT-Lymphocyte SubsetsTNF Receptor-Associated Factor 6IL9 protein, humanInterleukin-9NF-kappa BProto-Oncogene ProteinsProto-Oncogene Protein Spi-1TNF Receptor-Associated Factor 6Trans-Activatorsadoptive cell therapyeradication of large advanced tumorT cell paradigmtumor-specific Th9 cells

Identifiers

PMID29894691
PMCPMC6072282

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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.