Evidence map›Paper›PMID 40391157›Full record

ArticleFrontiers in oncology2025

Tumor-associated MerTK promotes a pro-inflammatory microenvironment and enhances immune checkpoint inhibitor response in triple-negative breast cancer.

Bridget E Crossman, Regan L Harmon, Mari Iida, Jillian M Adams, Candie Y Lin, Christine E Glitchev, Terry D Juang, Sheena C Kerr, Roxana A Alexandridis, Meredith Hyun and 4 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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
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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.

No citing paper in PubMed yet.

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

14 authors.

Bridget E CrossmanDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Regan L HarmonDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Mari IidaDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Jillian M AdamsDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Candie Y LinDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Christine E GlitchevDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.
Terry D JuangDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI, United States.
Sheena C KerrSchool of Medicine and Public Health, University of Wisconsin Carbone Cancer Center, University of Wisconsin, Madison, WI, United States.
Roxana A AlexandridisDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States.
Meredith HyunDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States.
David T YangDepartment of Pathology and Laboratory Medicine, University of Wisconsin, Madison, WI, United States.
Irene KangDepartment of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte, CA, United States.
Ravi SalgiaDepartment of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte, CA, United States.
Deric L WheelerDepartment of Human Oncology, University of Wisconsin, Madison, WI, United States.

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
A multiplexed micro scale assay for real time analysis of pediatric immune cell functionU24AI152177 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI BEEBE, DAVID J, KERR, SHEENA CATHERINE · 2020 to 2024
$1.8M
NCI NIH HHS P30 CA014520NIAID NIH HHS U24 AI152177
6 · The paper itself

Abstract

Introduction: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with no targeted treatment modalities. Currently, combination chemotherapy and immune checkpoint inhibitor (ICI) therapy are options for many TNBC patients; however, their efficacy is limited. Understanding what makes TNBCs responsive to immune therapy is crucial for improving patient outcomes. Methods: We investigated the role of MerTK expression in TNBC using syngeneic and immunodeficient mouse models, human and murine cells lines, and human clinical samples. Flow cytometry, immunohistochemistry, RNA, multiplex ELISA, immunohistochemistry and multiplex immunofluorescence analysis were used to probe the effects of MerTK expression on the tumor immune microenvironment. Results: Overexpression of MerTK in TNBC syngeneic mouse models leads to a marked delay in tumor growth, coupled with significant increases in anti-tumor M1 macrophage, CD4+ T cell, active CD8+ T cell, active NK cell, and NKT cell populations. This increase in pro-inflammatory cells contrasted with decreased anti-inflammatory polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs) and regulatory T cells (Tregs) in the TIME. In addition, tumors overexpressing MerTK exhibited very high sensitivity to both aPDL1 and aCTLA4 therapies, leading to durable tumor control and, in some cases, complete tumor regression without recurrence. Further, using Vectra multispectral analysis, elevated MerTK expression in human clinical samples was associated with increased levels of pro-inflammatory immune cells. In vivo and human clinical data suggest that tumor-bound MerTK expression is independent of PD-L1 expression in TNBC. Conclusion: These preclinical findings indicate that MerTK could serve as an independent predictive biomarker for ICI response in TNBC, potentially expanding the cohort of late-stage TNBC patients eligible for ICI therapy while reducing toxicity in early-stage patients by treating only those predicted to respond.

Indexed as

biomarkerCTLA4ICIMERTKPDL1TNBC

Identifiers

PMID40391157
PMCPMC12086072

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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.