Evidence map›Paper›PMID 34021022›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2021

Local Anti-PD-1 Delivery Prevents Progression of Premalignant Lesions in a 4NQO-Oral Carcinogenesis Mouse Model.

Yewen Shi, Tong-Xin Xie, David G Leach, Bingbing Wang, Simon Young, Abdullah A Osman, Andrew G Sikora, Xiaoyong Ren, Jeffrey D Hartgerink, Jeffrey N Myers and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.8field-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

24 citing papers in PubMed, 30 citations in OpenAlex.

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  8. Signaling pathways and targeted interventions for precancers.Signal transduction and targeted therapy · 2026
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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

11 authors at 4 institutions in 2 countries.

Yewen ShiDepartment of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, Texas.
Tong-Xin XieDepartment of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, Texas.
David G LeachDepartment of Chemistry, Department of Bioengineering, Rice University, Houston, Texas.ORCID 0000-0002-2428-2028
Bingbing WangDepartment of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, Texas.
Simon YoungDepartment of Oral and Maxillofacial Surgery, University of Texas Health Science Center at Houston, Houston, Texas.ORCID 0000-0002-8198-7083
Abdullah A OsmanDepartment of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, Texas.
Andrew G SikoraDepartment of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, Texas.
Xiaoyong RenDepartment of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jeffrey D HartgerinkDepartment of Chemistry, Department of Bioengineering, Rice University, Houston, Texas.ORCID 0000-0002-3186-5395
Jeffrey N MyersDepartment of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-4767-3408
Roberto RangelDepartment of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, Texas. rrangel@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USRice University · USSecond Affiliated Hospital of Xi'an Jiaotong University · CNThe University of Texas Health Science Center at Houston · US

Funding

STINGel Immunotherapy for Treatment-Resistant Head and Neck CancerR21DE027794 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI YOUNG, SIMON · 2018 to 2019
$440k
NIDCR NIH HHS R21 DE027794
6 · The paper itself

Abstract

Although the principle of systemic treatment to prevent the progression of oral premalignant lesions (OPL) has been demonstrated, there remains a lack of consensus about an optimal approach that balances clinical efficacy with toxicity concerns. Recent advances in cancer therapy using approaches targeting the tumor immune microenvironment (TIME) including immune-checkpoint inhibitors indicate that these agents have significant clinically activity against different types of cancers, including oral cancer, and therefore they may provide an effective oral cancer prevention strategy for patients with OPLs. Our past work showed that systemic delivery of a monoclonal antibody to the programmed death receptor 1 (PD-1) immune checkpoint can inhibit the progression of OPLs to oral cancer in a syngeneic murine oral carcinogenesis model. Here we report a novel approach of local delivery of a PD-1 immune-checkpoint inhibitor loaded using a hydrogel, which significantly reduces the progression of OPLs to carcinomas. In addition, we detected a significant infiltration of regulatory T cells associated with oral lesions with p53 mutation, and a severe loss of expression of STING, which correlated with a decreased infiltration of dendritic cells in the oral lesions. However, a single local dose of PD-1 inhibitor was found to restore stimulator of interferon response cGAMP interactor 1 (STING) and CD11c expression and increase the infiltration of CD8

Indexed as

4-Nitroquinoline-1-oxideAnimalsAntibodies, MonoclonalCarcinogenesisDisease Models, AnimalDrug Delivery SystemsFemaleGenes, p53Head and Neck NeoplasmsHumansImmune Checkpoint InhibitorsInjections, IntralesionalMaleMiceMice, TransgenicMouth Neoplasms4-Nitroquinoline-1-oxide4-nitroquinolone-1-oxideAntibodies, MonoclonalImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorQuinolones

Identifiers

PMID34021022
PMCPMC8338806
OpenAlexW3163479357

What OpenQuestion 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 OpenQuestion graph.