Evidence map›Paper›PMID 42335380›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Inhibition of KDEL Receptors Remodels the Tumor Microenvironment for T Cell Independent Tumor Regression.

Shakti P Pattanayak, Hong Wang, Belinda Willard, Timothy A Chan, William C Merrick, Zheng-Rong Lu, Boaz Tirosh

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Shakti P PattanayakDepartment of Biochemistry, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Hong WangDepartment of Biomedical Engineering, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Belinda WillardProteomics and Metabolomics Shared Laboratory Resource, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Timothy A ChanCenter for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, Ohio, USA.
William C MerrickDepartment of Biochemistry, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Zheng-Rong LuDepartment of Biomedical Engineering, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Boaz TiroshDepartment of Biochemistry, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.

Funding

Creating a transient metabolic catastrophe for AML therapyR01CA299332 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Kelsey H Fisher-Wellman, Boaz Tirosh · 2025 to 2026
$967k
Quadrupole Time-of-Flight LC-MSS10OD030398 · OD · CLEVELAND CLINIC LERNER COM-CWRU · PI WILLARD, BELINDA BELLE · 2021 to 2021
$530k
Elsa U. Pardee FoundationNCI NIH HHS 1R01CA299332-01NCI NIH HHS R01 CA299332NIH HHS S10 OD030398
6 · The paper itself

Abstract

Tumor immunotherapy is supported by low-grade inflammatory conditions in the microenvironment, triggered by immunogenic cell death (ICD). However, ICD is dampened when tumors acquire resistance, affecting immune recognition. KDEL receptors (KDELRs), through a retrograde Golgi-to-ER transport, prevent spontaneous secretion of KDEL proteins. We report that inhibition of a single KDELR in a minor fraction of tumor cells, primarily KDELR2, provokes robust infiltration of macrophages and neutrophils into the tumor microenvironment, resulting in regression of both immunogenic and non-immunogenic tumors initially independently of T cells. Importantly, in the course of regression, anti-tumor T cells are primed, conferring protection against a second challenge. Recapitulated by intratumoral delivery of siDKELR2 utilizing lipid nanoparticles, we implicate KDELR2 as a target to unleash an unusual robust innate immune response, which represents a tractable approach to initiate an adaptive response downstream, bypassing conventional ICD-inducing therapies. We propose KDELR targeting as a strategy to improve immunotherapy across tumor types, including "cold" tumors resistant to T cell-based immunotherapies.

Indexed as

ImmunotherapyNeoplasmsT-LymphocytesTumor MicroenvironmentAnimalsHumansImmunogenic Cell DeathMicecalreticulincancer immunity cycleER stressimmunogenic cell deathinnate immunity

Identifiers

PMID42335380
PMCPMC13335452

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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.