Evidence map›Paper›PMID 38187708›Full record

ArticlebioRxiv : the preprint server for biology2024

Neoantigen Cancer Vaccines and Different Immune Checkpoint Therapies Each Utilize Both Converging and Distinct Mechanisms that in Combination Enable Synergistic Therapeutic Efficacy.

Sunita Keshari, Alexander S Shavkunov, Qi Miao, Akata Saha, Charmelle D Williams, Anna M Highsmith, Josué E Pineda, Elise Alspach, Kenneth H Hu, Kristen E Pauken and 2 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 2 countries.

Sunita KeshariDepartment of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-4889-8430
Alexander S ShavkunovDepartment of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-2390-9391
Qi MiaoDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-2782-1581
Akata SahaDepartment of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-3125-2871
Charmelle D WilliamsDepartment of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0001-8342-587X
Anna M HighsmithDepartment of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Josué E PinedaDepartment of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-8132-1804
Elise AlspachDepartment of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-2740-9768
Kenneth H HuDepartment of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-0294-0202
Kristen E PaukenDepartment of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-4309-7880
Ken ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-4013-5279
Matthew M GubinDepartment of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0001-7443-2752
The University of Texas MD Anderson Cancer Center · USUCLouvain Saint-Louis Brussels · BE

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Informatics for Functional Integration of Heterogeneous Cancer Genome and Transcriptome Sequencing DataU01CA247760 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHEN, KEN · 2020 to 2022
$1.2M
NCI NIH HHS P30 CA016672NCI NIH HHS U01 CA247760
6 · The paper itself

Abstract

The goal of therapeutic cancer vaccines and immune checkpoint therapy (ICT) is to eliminate cancer by expanding and/or sustaining T cells with anti-tumor capabilities. However, whether cancer vaccines and ICT enhance anti-tumor immunity by distinct or overlapping mechanisms remains unclear. Here, we compared effective therapeutic tumor-specific mutant neoantigen (NeoAg) cancer vaccines with anti-CTLA-4 and/or anti-PD-1 ICT in preclinical models. Both NeoAg vaccines and ICT induce expansion of intratumoral NeoAg-specific CD8 T cells, though the degree of expansion and acquisition of effector activity was much more substantial following NeoAg vaccination. Further, we found that NeoAg vaccines are particularly adept at inducing proliferating and stem-like NeoAg-specific CD8 T cells. Single cell T cell receptor (TCR) sequencing revealed that TCR clonotype expansion and diversity of NeoAg-specific CD8 T cells relates to their phenotype and functional state associated with specific immunotherapies employed. Effective NeoAg vaccines and ICT required both CD8 and CD4 T cells. While NeoAg vaccines and anti-PD-1 affected the CD4 T cell compartment, it was to less of an extent than observed with anti-CTLA-4, which notably induced ICOS

Identifiers

PMID38187708
PMCPMC10769249
OpenAlexW4390144060

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.