Evidence map›Paper›PMID 35793866›Full record

ArticleJournal for immunotherapy of cancer2022

Non-synergy of PD-1 blockade with T-cell therapy in solid tumors.

John S Davies, Farrah Karimipour, Ling Zhang, Nisha Nagarsheth, Scott Norberg, Carylinda Serna, Julius Strauss, Shinheng Chiou, James L Gulley, Christian S Hinrichs

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Memory-promoting function of miR-379-5p attenuates CD8Journal for immunotherapy of cancer · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Tumor-Infiltrating Lymphocyte Therapy in Melanoma: Facts to the Future.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Review
  13. 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

10 authors at 3 institutions in 1 country.

John S DaviesNCI, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-9482-1066
Farrah KarimipourNCI, National Institutes of Health, Bethesda, Maryland, USA.
Ling ZhangNCI, National Institutes of Health, Bethesda, Maryland, USA.
Nisha NagarshethNCI, National Institutes of Health, Bethesda, Maryland, USA.
Scott NorbergGenitourinary Malignancies Branch, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0001-5232-2448
Carylinda SernaNCI, National Institutes of Health, Bethesda, Maryland, USA.
Julius StraussLaboratory of Tumor Immunology and Biology, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0002-7550-4938
Shinheng ChiouCancer Immunotherapy, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
James L GulleyNCI, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-6569-2912
Christian S HinrichsCancer Immunotherapy, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA ch977@cinj.rutgers.edu.
National Institutes of Health · USNational Cancer Institute · USRutgers, The State University of New Jersey · US

Funding

T-cell receptor gene therapy for human papillomavirus-positive cancersZIABC011479 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HINRICHS, CHRISTIAN · 2013 to 2021
$13.5M
Clinical trials employing cancer vaccine combination therapiesZIABC010945 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GULLEY, JAMES L. · 2009 to 2022
$9.6M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS ZIA BC011479NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

backgroundCell therapy has shown promise in the treatment of certain solid tumors, but its efficacy may be limited by inhibition of therapeutic T cells by the programmed cell death protein-1 (PD-1) receptor. Clinical trials are testing cell therapy in combination with

methodsMechanisms of tumor regression and interaction between cell therapy and PD-1 blockade were investigated in congenic murine tumor models based on targeting established, solid tumors with T-cell receptor T cells directed against tumor-restricted, non-self antigens (ie, tumor neoantigens).

resultsIn solid tumor models of cell therapy, PD-1 blockade mediated a reproducible but non-synergistic increase in tumor regression following adoptive T-cell transfer. Tumor regression was associated with increased tumor infiltration by endogenous T cells but not by transferred T cells. The effect was independent of PD-1 receptor expression by transferred T cells and was dependent on the endogenous T-cell repertoire and on tumor antigenicity. PD-1 blockade primarily induced cell state changes in endogenous tumor-antigen-specific T cells rather than transferred T cells.

conclusionsTogether, these findings support the concept that PD-1 blockade acts primarily through endogenous rather than transferred T cells to mediate a non-synergistic antitumor effect in solid tumor cell therapy. These findings have important implications for strategies to leverage PD-1 receptor disruption or blockade to enhance the efficacy of cell therapy.

Indexed as

Cell- and Tissue-Based TherapyNeoplasmsProgrammed Cell Death 1 ReceptorAnimalsAntigens, NeoplasmHumansMiceT-LymphocytesAntigens, NeoplasmPdcd1 protein, mouseProgrammed Cell Death 1 ReceptorCD8-Positive T-LymphocytesCombined Modality TherapyCostimulatory and Inhibitory T-Cell ReceptorsImmunotherapy, AdoptiveTranslational Medical Research

Identifiers

PMID35793866
PMCPMC9260838
OpenAlexW4284883502

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.