Evidence map›Paper›PMID 39587886›Full record

ArticleOncoimmunology2024

Cancer-cell derived S100A11 promotes macrophage recruitment in ER+ breast cancer.

Sanghoon Lee, Youngbin Cho, Yiting Li, Ruxuan Li, Angela Wong Lau, Matthew S Laird, Daniel Brown, Priscilla McAuliffe, Adrian V Lee, Steffi Oesterreich and 2 more

Abstract read
In one paragraph

Article in Oncoimmunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Sanghoon LeeDepartment of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Youngbin ChoUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Yiting LiWomen's Cancer Research Center, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center (HCC), Pittsburgh, PA, USA.
Ruxuan LiUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Angela Wong LauUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Matthew S LairdUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Daniel BrownWomen's Cancer Research Center, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center (HCC), Pittsburgh, PA, USA.
Priscilla McAuliffeWomen's Cancer Research Center, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center (HCC), Pittsburgh, PA, USA.
Adrian V LeeWomen's Cancer Research Center, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center (HCC), Pittsburgh, PA, USA.
Steffi OesterreichWomen's Cancer Research Center, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center (HCC), Pittsburgh, PA, USA.
Ioannis K ZervantonakisUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-2386-9553
Hatice Ulku OsmanbeyogluDepartment of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-3175-1777

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 1988 to 2026
$158.0M
Developing and credentialing murine models of ILCR01CA252378 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Adrian V Lee, Steffi Oesterreich · 2021 to 2026
$3.0M
Computational methods for delineating cell context-specific regulatory programsR35GM146989 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Hatice Ulku Osmanbeyoglu · 2022 to 2026
$1.9M
Macrophage-Fibroblast Communication in Cell Migration and Extracellular Matrix RemodelingR35GM150815 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ioannis Zervantonakis · 2023 to 2026
$1.6M
Algorithms to link signaling pathways with transcriptional programs for precision medicineR00CA207871 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI OSMANBEYOGLU, HATICE ULKU · 2019 to 2022
$738k
High-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574k
NCI NIH HHS P30 CA047904NCI NIH HHS R00 CA207871NCI NIH HHS R01 CA252378NIGMS NIH HHS R35 GM146989NIGMS NIH HHS R35 GM150815NIH HHS S10 OD028483
6 · The paper itself

Abstract

Macrophages are pivotal in driving breast tumor development, progression, and resistance to treatment, particularly in estrogen receptor-positive (ER+) tumors, where they infiltrate the tumor microenvironment (TME) influenced by cancer cell-secreted factors. By analyzing single-cell RNA sequencing data from 25 ER+ tumors, we elucidated interactions between cancer cells and macrophages, correlating macrophage density with epithelial cancer cell density. We identified that S100A11, a previously unexplored factor in macrophage-cancer crosstalk, predicts high macrophage density and poor outcomes in ER+ tumors. We found that recombinant S100A11 enhances macrophage infiltration and migration in a dose-dependent manner. Additionally, in a 3D matrix using a panel of three ER+ breast cancer cell lines, we showed that secreted S100A11 levels from cancer cells were associated with increased monocyte infiltration that subsequently differentiation toward macrophages. Genetic silencing of S100A11 in the S100A11-high T47D cancer cells reduced monocyte infiltration, consistent with results using a S100A11 blocking antibody in T47D cancer cells and in a clinically relevant patient-derived organoid model. Phenotypic analysis of macrophages cocultured with T47D cancer cells following S100A11 knockdown revealed lower expression of the immunosuppressive marker CD206, further underscoring the role of S100A11 as a paracrine regulator of pro-tumorigenic cancer-macrophage crosstalk. This study offers novel insights into the interplay between macrophages and cancer cells in ER+ breast tumors, highlighting S100A11 as a potential therapeutic target to modulate the macrophage-rich tumor microenvironment.

Indexed as

Breast NeoplasmsMacrophagesReceptors, EstrogenS100 ProteinsTumor MicroenvironmentCell Line, TumorCell MovementFemaleHumansReceptors, EstrogenS100A11 protein, humanS100 Proteinsmacrophage infiltrationmonocyte infiltrationS100A11Tumor associated macrophagestumor microenvironment

Identifiers

PMID39587886
PMCPMC11601052

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Registered trials

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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.