Evidence map›Paper›PMID 35353346›Full record

ReviewBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy2022

Tumor in the Crossfire: Inhibiting TGF-β to Enhance Cancer Immunotherapy.

Nicholas P Tschernia, James L Gulley

Open access · hybridAbstract readReview
In one paragraph

Review in BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

42 citing papers in PubMed, 56 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Nicholas P TscherniaGenitourinary Malignancies Branch, Medical Oncology Service, National Cancer Institute, Building 10, Room 13N240, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0000-0002-2389-9974
James L GulleyGenitourinary Malignancies Branch, Medical Oncology Service, National Cancer Institute, Building 10, Room 13N240, Bethesda, MD, 20892, USA. gulleyj@mail.nih.gov.ORCID http://orcid.org/0000-0002-6569-2912
National Cancer Institute · US

Funding

Cancer Therapy Clinical Trials Using Novel Recombinant VaccinesZIABC010666 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GULLEY, JAMES L. · 2009 to 2025
$22.4M
Clinical trials employing cancer vaccine combination therapiesZIABC010945 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GULLEY, JAMES L. · 2009 to 2022
$9.6M
Clinical trials employing cancer vaccine combination therapiesZ01BC010945 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GULLEY, JAMES L. · 2008 to 2008
$517k
Intramural NIH HHS Z01 BC010945Intramural NIH HHS ZIA BC010945NCI NIH HHS ZIA BC 010945
6 · The paper itself

Abstract

Cancer immunotherapy using monoclonal antibodies targeting immune checkpoints has undoubtedly revolutionized the cancer treatment landscape in the last decade. Immune checkpoint inhibitors can elicit long-lasting, previously unheard-of responses in a number of tumor entities. Yet, even in such tumors as metastatic melanoma and non-small cell-lung cancer, in which immune checkpoint inhibition has become the first-line treatment of choice, only a minority of patients will benefit considerably from these treatments. This has been attributed to a number of factors, including an immune-suppressive tumor microenvironment (TME). Using different modalities to break these barriers is of utmost importance to expand the population of patients that benefit from immune checkpoint inhibition. The multifunctional cytokine transforming growth factor-β (TGF-β) has long been recognized as an immune-suppressive factor in the TME. A considerable number of drugs have been developed to target TGF-β, yet most of these have since been discontinued. The combination of anti-TGF-β agents with immune checkpoint inhibitors now has the potential to revive this target as a viable immunomodulatory therapeutic approach. Currently, a limited number of small molecular inhibitor and monoclonal antibody candidates that target TGF-β are in clinical development in combination with the following immune checkpoint inhibitors: SRK 181, an antibody inhibiting the activation of latent TGF-β1; NIS 793, a monoclonal antibody targeting TGF-β; and SHR 1701, a fusion protein consisting of an anti-PD-L1 monoclonal antibody fused with the extracellular domain of human TGF-β receptor II. Several small molecular inhibitors are also in development and are briefly reviewed: LY364947, a pyrazole-based small molecular inhibitor of the serine-threonine kinase activity of TGFβRI; SB-431542, an inhibitor targeting several TGF-β superfamily Type I activin receptor-like kinases as well as TGF-β1-induced nuclear Smad3 localization; and galunisertib, an oral small molecular inhibitor of the TGFβRI kinase. One of the most advanced agents in this area is bintrafusp alfa, a bifunctional fusion protein composed of the extracellular domain of TGF-β receptor II fused to a human IgG1 mAb blocking PD-L1. Bintrafusp alfa is currently in advanced clinical development and as an agent in this space with the most clinical experience, is a focused highlight of this review.

Indexed as

Carcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsImmunotherapyLung NeoplasmsRecombinant Fusion ProteinsTransforming Growth Factor betaAntibodies, MonoclonalB7-H1 AntigenHumansImmunologic FactorsTransforming Growth Factor beta1Tumor MicroenvironmentAntibodies, MonoclonalB7-H1 Antigenbintrafusp alfa protein, humanImmune Checkpoint InhibitorsImmunologic FactorsNIS 793Recombinant Fusion ProteinsSHR-1701Transforming Growth Factor betaTransforming Growth Factor beta1

Identifiers

PMID35353346
PMCPMC8986721
OpenAlexW4220727783

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.