Evidence map›Paper›PMID 26369987›Full record

ArticleLeukemia2016

Chimeric antigen receptor-modified T cells derived from defined CD8+ and CD4+ subsets confer superior antitumor reactivity in vivo.

D Sommermeyer, M Hudecek, P L Kosasih, T Gogishvili, D G Maloney, C J Turtle, S R Riddell

Registry-linked trialAbstract read
In one paragraph

Article in Leukemia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07727668 (Feasibility Study of Iberdomide), which is not on this map. Cited by 563 papers.

0numbers the graph read from it
0cells of the map it votes in
563citing papers in PubMed
23.3field-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.

NCT07727668 early_phase1not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Feasibility Study of Iberdomide (CC-220) Priming to Improve T Cell Fitness Prior to Leukapheresis for Chimeric Antigen Receptor T Cell (CAR-T) Therapy for Relapsed/Refractory Multiple Myeloma (RRMM)

TypeinterventionalSponsorShambavi RichardRan2026 to 2031Enrolled22ConditionsMultiple Myeloma, Relapsed/Refractory Multiple MyelomaArmsIberdomide, CAR-T Leukapheresis, CAR-T Infusion
3 · Its place in the literature

Who cites it

563 citing papers in PubMed, 832 citations in OpenAlex.

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  10. Depletion of CD8Molecular therapy : the journal of the American Society of Gene Therapy · 2026
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503 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 2 countries.

D SommermeyerProgram in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
M HudecekProgram in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
P L KosasihProgram in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
T GogishviliDepartment of Medicine II - Hematology and Medical Oncology, University of Würzburg, Würzburg, Germany.
D G MaloneyProgram in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
C J TurtleProgram in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
S R RiddellProgram in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Fred Hutch Cancer Center · USInstitute for Advanced Study · DEUniversity of Würzburg · DE

Funding

VIRUS-MEDIATED MYELOSUPPRESSIONP01CA018029 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Geoffrey Roger HILL · 1985 to 2026
$128.4M
Targeted immunotherapy of breast cancer with central memory T cellsP50CA138293 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PORTER, PEGGY L. · 2010 to 2014
$11.0M
TARGETING ROR1 WITH CHIMERIC ANTIGEN RECEPTOR MODIFIED T CELLSR01CA114536 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Sylvain Simon · 2005 to 2026
$8.4M
Targeted therapy of B cell malignances with CAR-T cells of defined compositionR01CA136551 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI JENSEN, MICHAEL C, RIDDELL, STANLEY R. · 2009 to 2018
$5.5M
NCI NIH HHS CA114536NCI NIH HHS CA136551NCI NIH HHS CA18029NCI NIH HHS P01 CA018029NCI NIH HHS P50 CA138293NCI NIH HHS R01 CA114536NCI NIH HHS R01 CA136551
6 · The paper itself

Abstract

Adoptive T-cell therapy with gene-modified T cells expressing a tumor-reactive T-cell receptor or chimeric antigen receptor (CAR) is a rapidly growing field of translational medicine and has shown success in the treatment of B-cell malignancies and solid tumors. In all reported trials, patients have received T-cell products comprising random compositions of CD4(+) and CD8(+) naive and memory T cells, meaning that each patient received a different therapeutic agent. This variation may have influenced the efficacy of T-cell therapy, and complicates comparison of outcomes between different patients and across trials. We analyzed CD19 CAR-expressing effector T cells derived from different subsets (CD4(+)/CD8(+) naive, central memory, effector memory). T cells derived from each of the subsets were efficiently transduced and expanded, but showed clear differences in effector function and proliferation in vitro and in vivo. Combining the most potent CD4(+) and CD8(+) CAR-expressing subsets, resulted in synergistic antitumor effects in vivo. We show that CAR-T-cell products generated from defined T-cell subsets can provide uniform potency compared with products derived from unselected T cells that vary in phenotypic composition. These findings have important implications for the formulation of T-cell products for adoptive therapies.

Indexed as

Immunotherapy, AdoptiveAnimalsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesFemaleHumansImmunologic MemoryMiceNeoplasmsReceptors, Antigen, T-CellRecombinant Fusion ProteinsReceptors, Antigen, T-CellRecombinant Fusion Proteins

Identifiers

PMID26369987
PMCPMC4746098
OpenAlexW2219506342

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.