Evidence map›Paper›PMID 33587338›Full record

ArticleEMBO molecular medicine2021

Unexpected PD-L1 immune evasion mechanism in TNBC, ovarian, and other solid tumors by DR5 agonist antibodies.

Tanmoy Mondal, Gururaj N Shivange, Rachisan Gt Tihagam, Evan Lyerly, Michael Battista, Divpriya Talwar, Roxanna Mosavian, Karol Urbanek, Narmeen S Rashid, J Chuck Harrell and 5 more

Open access · goldAbstract read
In one paragraph

Article in EMBO molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 18 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

15 authors at 5 institutions in 1 country.

Tanmoy MondalLaboratory of Novel Biologics, University of Virginia, Charlottesville, VA, USA.
Gururaj N ShivangeLaboratory of Novel Biologics, University of Virginia, Charlottesville, VA, USA.
Rachisan Gt TihagamDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA.
Evan LyerlyLaboratory of Novel Biologics, University of Virginia, Charlottesville, VA, USA.
Michael BattistaLaboratory of Novel Biologics, University of Virginia, Charlottesville, VA, USA.
Divpriya TalwarLaboratory of Novel Biologics, University of Virginia, Charlottesville, VA, USA.
Roxanna MosavianLaboratory of Novel Biologics, University of Virginia, Charlottesville, VA, USA.
Karol UrbanekLaboratory of Novel Biologics, University of Virginia, Charlottesville, VA, USA.
Narmeen S RashidDepartment of Pathology, Massey Cancer Center, VCU, Richmond, VA, USA.
J Chuck HarrellDepartment of Pathology, Massey Cancer Center, VCU, Richmond, VA, USA.
Paula D BosDepartment of Pathology, Massey Cancer Center, VCU, Richmond, VA, USA.
Edward B StelowDepartment of Pathology, University of Virginia, Charlottesville, VA, USA.
M Sharon StackHarper Cancer Research Institute, University of Notre Dame, Notre Dame, IN, USA.
Sanchita BhatnagarDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA.
Jogender Tushir-SinghLaboratory of Novel Biologics, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-7898-7218
Novel (United States) · USVirginia Cancer Institute · USUniversity of Virginia · USUniversity of Notre Dame · USUniversity of Virginia Cancer Center

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Thomas P. Loughran · 1987 to 2026
$72.1M
Cancer Research Training Program: From Molecular Mechanisms to Therapeutic StrategiesT32CA009109 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Andrew Carl Dudley, Melanie R Rutkowski · 1985 to 2026
$13.9M
A Novel Symbiotic Approach For Targeted Ovarian Cancer TherapyR01CA233752 · NCI · UNIVERSITY OF VIRGINIA · PI TUSHIR-SINGH, JOGENDER · 2019 to 2023
$1.9M
NCI NIH HHS P30 CA044579NCI NIH HHS R01 CA233752NCI NIH HHS T32 CA009109
6 · The paper itself

Abstract

Lack of effective immune infiltration represents a significant barrier to immunotherapy in solid tumors. Thus, solid tumor-enriched death receptor-5 (DR5) activating antibodies, which generates tumor debulking by extrinsic apoptotic cytotoxicity, remains a crucial alternate therapeutic strategy. Over past few decades, many DR5 antibodies moved to clinical trials after successfully controlling tumors in immunodeficient tumor xenografts. However, DR5 antibodies failed to significantly improve survival in phase-II trials, leading in efforts to generate second generation of DR5 agonists to supersize apoptotic cytotoxicity in tumors. Here we have discovered that clinical DR5 antibodies activate an unexpected immunosuppressive PD-L1 stabilization pathway, which potentially had contributed to their limited success in clinics. The DR5 agonist stimulated caspase-8 signaling not only activates ROCK1 but also undermines proteasome function, both of which contributes to increased PD-L1 stability on tumor cell surface. Targeting DR5-ROCK1-PD-L1 axis markedly increases immune effector T-cell function, promotes tumor regression, and improves overall survival in animal models. These insights have identified a potential clinically viable combinatorial strategy to revive solid cancer immunotherapy using death receptor agonism.

Indexed as

B7-H1 AntigenTriple Negative Breast NeoplasmsAnimalsAntibodies, MonoclonalHumansImmune EvasionImmunotherapyrho-Associated KinasesAntibodies, MonoclonalB7-H1 Antigenrho-Associated KinasesROCK1 protein, humanDR5dual-specificity antibodiesimmune evasionPD-L1solid tumors

Identifiers

PMID33587338
PMCPMC7933954
OpenAlexW3131188136

What OpenQuestion holds

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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.