Evidence map›Paper›PMID 27073224›Full record

Trial reportBlood2016

Efficacy, durability, and response predictors of low-dose interleukin-2 therapy for chronic graft-versus-host disease.

John Koreth, Haesook T Kim, Kyle T Jones, Paulina B Lange, Carol G Reynolds, Marie J Chammas, Katherine Dusenbury, Jennifer Whangbo, Sarah Nikiforow, Edwin P Alyea and 9 more

Open access · bronzeAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Blood, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 2 pooled it
19.8field-weighted citation impact, top 1% 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

137 citing papers in PubMed, 2 syntheses or guidelines pooled it, 208 citations in OpenAlex.

  1. Pooled it
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  13. Article
  14. Regulatory T cells: From Foxp3 to tolerance-inducing therapies.The Journal of investigative dermatology · 2026
    Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Chronic graft-versus-host disease.Nature reviews. Disease primers · 2026
    Review
  20. Decoding TNF receptor superfamily control of CD4Cell communication and signaling : CCS · 2026
    Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 4 institutions in 1 country.

John KorethDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Haesook T KimDepartment of Biostatistics & Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, MA;
Kyle T JonesDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Paulina B LangeDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Carol G ReynoldsDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Marie J ChammasDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Katherine DusenburyDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Jennifer WhangboDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Sarah NikiforowDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Edwin P AlyeaDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Philippe ArmandDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Corey S CutlerDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Vincent T HoDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Yi-Bin ChenHematology/Oncology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA;
David AviganHematology/Oncology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA; and.
Bruce R BlazarUniversity of Minnesota Masonic Cancer Center and Division of Blood and Marrow Transplantation, Department of Pediatrics, Minneapolis, MN.
Joseph H AntinDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Jerome RitzDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Robert J SoifferDivision of Hematologic Malignancies, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA;
Dana-Farber Cancer Institute · USHarvard University · USBeth Israel Deaconess Medical Center · USUniversity of Minnesota · US

Funding

University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
Project 3: Humoral Targets and B Cell Biology in Chronic Graft-vs.-Host DiseaseP01CA142106 · NCI · DANA-FARBER CANCER INST · PI CUTLER, COREY S · 2009 to 2019
$17.5M
Enhancing Treg Therapeutic Efficacy in GVHDR01HL118979 · NHLBI · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, HIPPEN, KELI L · 2014 to 2025
$6.7M
Manipulation of Immune Responsiveness after Hematopoietic Cell TransplantationR01CA183559 · NCI · DANA-FARBER CANCER INST · PI RITZ, JEROME, SOIFFER, ROBERT JON · 2013 to 2017
$3.7M
Reconstitution of Regulatory T Cells After Stem Cell TransplantationR01CA183560 · NCI · DANA-FARBER CANCER INST · PI RITZ, JEROME, SOIFFER, ROBERT JON · 2013 to 2017
$2.5M
NCI NIH HHS P01 CA142106NCI NIH HHS R01 CA183559NCI NIH HHS R01 CA183560NHLBI NIH HHS R01 HL118979NIGMS NIH HHS T32 GM007266
6 · The paper itself

Abstract

Chronic graft-versus-host disease (cGVHD) is associated with inadequate reconstitution of tolerogenic CD4(+)CD25(+)FOXP3(+) regulatory T cells (Tregs). Previous phase 1 studies identified a low daily dose of interleukin-2 (IL-2) that was well tolerated, did not exacerbate alloimmunity, augmented Treg in vivo, and was associated with improvement of active cGVHD. In the current phase 2 study, 35 adults with steroid-refractory cGVHD received daily IL-2 (1 × 10(6) IU/m(2)) for 12 weeks. Median time from transplantation and cGVHD onset was 616 days (range, 270-2145 days) and 317 days (range, 28-1880 days), respectively. Two patients withdrew and 5 required IL-2 dose reductions due to side effects. Twenty of 33 evaluable patients (61%) had clinical responses at multiple cGVHD sites (liver, skin, gastrointestinal tract, lung, joint/muscle/fascia). Three patients (9%) had progressive cGVHD. Compared with pretreatment levels, Treg and natural killer cell counts rose >fivefold (P < .001) and >fourfold (P < .001), respectively, without significant change in conventional CD4 T cells (Tcons) or CD8 T cells. The Treg:Tcon ratio rose >fivefold (P < .001). Clinical responders initiated IL-2 earlier (508 vs 917 days after transplantation, P = .005; 249 vs 461 days after cGVHD onset; P = .03). Treg:Tcon ratios ≥0.07 at baseline and ≥0.2 at week 1 also predicted clinical response (P = .003; P = .0003, respectively). After a 4-week treatment hiatus, clinical responders were eligible to continue IL-2 therapy indefinitely. During 2 years of extended IL-2 therapy, clinical and Treg immune responses persisted, while Tcon count and Treg:Tcon ratio gradually normalized. Low-dose IL-2 provides durable clinical improvement in active cGVHD and extended therapy is well-tolerated.

Indexed as

Killer Cells, NaturalT-Lymphocytes, RegulatoryAdultAgedChronic DiseaseFemaleFollow-Up StudiesGraft vs Host DiseaseHumansInterleukin-2Lymphocyte CountMaleMiddle AgedTime FactorsIL2 protein, humanInterleukin-2

Identifiers

PMID27073224
PMCPMC4937358
OpenAlexW2338482953

What OpenQuestion holds

Textmetadata
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.