Evidence map›Paper›PMID 42486609›Full record

ArticleJournal for immunotherapy of cancer2026

Therapy-induced senescence rewires the melanoma secretome to promote antitumor immune response and augment cell therapies.

Marina Capece, Evdokiya Reshetnikova, Yinchong Wang, Nar B Katuwal, Daniel de Lima Bellan, Amrendra Kumar, Vijaya Bharti, Reese Watkins, Jordan Krull, Shaopeng Gu and 3 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors.

Marina CapeceDepartment of Pathology, The Ohio State University, Columbus, Ohio, USA.
Evdokiya ReshetnikovaDepartment of Pathology, The Ohio State University, Columbus, Ohio, USA.
Yinchong WangDepartment of Pathology, The Ohio State University, Columbus, Ohio, USA.
Nar B KatuwalDepartment of Pathology, The Ohio State University, Columbus, Ohio, USA.
Daniel de Lima BellanDepartment of Pathology, The Ohio State University, Columbus, Ohio, USA.
Amrendra KumarDepartment of Pathology, The Ohio State University, Columbus, Ohio, USA.
Vijaya BhartiDepartment of Pathology, The Ohio State University, Columbus, Ohio, USA.
Reese WatkinsDepartment of Pathology, The Ohio State University, Columbus, Ohio, USA.
Jordan KrullPelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.
Shaopeng GuPelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.
Qin MaPelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.
Arjun MittraPelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.
Anna E VilgelmDepartment of Pathology, The Ohio State University, Columbus, Ohio, USA anna.vilgelm@osumc.edu.ORCID http://orcid.org/0000-0002-4446-913X

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
Combining senescence-inducing and senolytic agents to improve melanoma therapyR37CA233770 · NCI · VANDERBILT UNIVERSITY · PI VILGELM, ANNA E · 2019 to 2025
$2.4M
NCI NIH HHS P30 CA016058NCI NIH HHS R37 CA233770
6 · The paper itself

Abstract

backgroundTherapy-induced senescence (TIS) is a common outcome of diverse anticancer treatments, including chemotherapy, radiation, and small-molecule inhibitors. Senescence is characterized by stable growth arrest and the senescence-associated secretory phenotype (SASP), which includes various immune mediators. As the role of the immune system in controlling cancer becomes increasingly appreciated, understanding the impact of TIS on the tumor immune microenvironment (TIME) is critically important. Here, we investigated how senescence can be leveraged to enhance antitumor immune responses.

methodsWe investigated the effects of an Aurora kinase A inhibitor (AURKAi), a potent inducer of senescence in melanoma models, using transcriptome and secretome profiling. The role of the cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway was investigated using imaging, inhibitors, and gene knockout. We also examined the effect of AURKAi on the surface expression of major histocompatibility complex class I (MHC-I) and programmed death-ligand 1 (PD-L1), as well as on signal transducer and activator of transcription 1 (STAT1) activation. In vivo, the effects of AURKAi treatment on the TIME were investigated using spectral cytometry and cell depletion studies. Finally, we assessed combining AURKAi with immune checkpoint blockade (ICB), adoptive cell therapy, and natural killer (NK) cell therapy in murine models.

resultsWe observed significant gene expression rewiring and the secretion of immune-related mediators and chemokines associated with AURKAi-induced senescence, which was favorably modulated by a senolytic BCL-2/xL inhibitor navitoclax. Mechanistically, AURKAi induced the formation of micronuclei linked with the activation of the cGAS-STING pathway, which, in turn, initiated pro-inflammatory transcriptional programs. Senescent melanoma cells exhibited increased surface expression of MHC-I and PD-L1, along with interferon regulatory factor 3 (IRF3) and STAT1 activation, indicating enhanced immunogenicity. In vivo, AURKAi treatment significantly enriched the TIME with activated CD8+ T cells and NK cells, with depletion studies confirming their critical role in antitumor effects. While combining AURKAi with immune checkpoint blockade was not beneficial, AURKAi pretreatment significantly augmented T and NK cell therapies in murine models, resulting in enhanced tumor control and prolonged survival.

conclusionsThese findings suggest that senescence, specifically when induced by an AURKAi, can be harnessed to promote effector cell engagement in immune-cold tumors, thereby enhancing responsiveness to cell therapies.

Indexed as

Cellular SenescenceMelanomaAnimalsCell Line, TumorcGAS-STING Signaling PathwayFemaleHumansMiceTumor MicroenvironmentCombination therapyImmune modulatoryImmunotherapySkin CancerTumor microenvironment - TME

Identifiers

PMID42486609
PMCPMC13404499

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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.