Evidence map›Paper›PMID 41929149›Full record

ArticlebioRxiv : the preprint server for biology2026

Tumor Heterogeneity Induces Pro- and Anti-metastatic Myeloid Cell Phenotypes in Breast Cancer Lung Metastasis.

Daphne A Superville, Eva Chrenková, Yimin Zheng, Alexis J Combes, Iros Barozzi, Zena Werb, André F Rendeiro, Christopher S McGinnis, Andrei Goga, Juliane Winkler

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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
–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

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

10 authors.

Daphne A SupervilleDepartment of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-8317-8431
Eva ChrenkováCenter for Cancer Research, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-7765-4016
Yimin ZhengCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.ORCID 0000-0002-0394-9735
Alexis J CombesDepartment of Pathology, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-9110-6542
Iros BarozziCenter for Cancer Research, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-0690-3473
Zena WerbDepartment of Anatomy, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-6525-3872
André F RendeiroCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.ORCID 0000-0001-9362-5373
Christopher S McGinnisDepartment of Pathology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-6923-9341
Andrei GogaDepartment of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0001-9127-0986
Juliane WinklerCenter for Cancer Research, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-9762-1721

Funding

Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VAISSE, CHRISTIAN · 2003 to 2019
$21.8M
Illumina NovaSeq 6000 Sequencing SystemS10OD028511 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHOW, ERIC D · 2020 to 2020
$583k
BD FACSAria Fusion Cell SorterS10OD021822 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, MICHAEL R. · 2016 to 2016
$573k
Defining a novel subset of metastasis-associated monocytesF31CA284749 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SUPERVILLE, DAPHNE A · 2023 to 2024
$91k
NCI NIH HHS F31 CA284749NIDDK NIH HHS P30 DK063720NIH HHS S10 OD021822NIH HHS S10 OD028511
6 · The paper itself

Abstract

Metastasis is a major cause of cancer-related mortality, yet targeting metastatic cells directly has been largely unsuccessful due to their plasticity and heterogeneity. Myeloid cells play diverse pro- and anti-metastatic functions and are an attractive alternative target for treating metastasis, but how tumor heterogeneity influences myeloid cell phenotypes during metastasis remains poorly understood. Here, we profiled myeloid cells from primary tumors and matched metastatic lungs of 12 heterogeneous and differentially metastatic patient-derived xenograft models of breast cancer. Comparative analysis of cell type abundances revealed distinct myeloid remodeling specific to primary tumors or metastatic lungs. Beyond compositional differences, we identified gene expression programs that were associated with metastatic burden, such as number or size of metastatic nodules, indicating distinct microenvironmental requirements for metastatic seeding and outgrowth. Examining these metastasis-associated programs using time-course datasets, we discovered an evolution from anti- to pro-metastatic monocyte phenotypes during metastatic progression. We further showed that this phenotypic shift was driven by an increase in two distinct myeloid-derived suppressor cell signatures, and a transcriptionally regulated impairment of monocyte differentiation leading to the depletion of non-classical monocytes. Our results comprehensively dissect the heterogeneity of myeloid cell phenotypes across primary tumor and metastatic sites, opening novel avenues for myeloid-targeting therapies specific to metastasis.

Identifiers

PMID41929149
PMCPMC13041913

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.