Evidence map›Paper›PMID 40661534›Full record

ArticlebioRxiv : the preprint server for biology2025

Cancer systems immunology reveals myeloid-T cell interactions and B cell activation mediate response to checkpoint inhibition in metastatic breast cancer.

Edgar Gonzalez, Jesse Kreger, Yingtong Liu, Xiaojun Wu, Arianna Barbetta, Aaron G Baugh, Batul Al-Zubeidy, Julie Jang, Sarah M Shin, Matthew Jacobo and 6 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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
–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

16 authors.

Edgar GonzalezUniversity of Southern California, Department of Medicine, Division of Oncology, Keck School of Medicine, Los Angeles, CA.
Jesse KregerDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-6438-171X
Yingtong LiuDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.
Xiaojun WuDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.
Arianna BarbettaUniversity of Southern California, Department of Surgery, Keck School of Medicine, Los Angeles, CA.
Aaron G BaughUniversity of Southern California, Department of Medicine, Division of Oncology, Keck School of Medicine, Los Angeles, CA.ORCID 0000-0001-8763-509X
Batul Al-ZubeidyUniversity of Southern California, Department of Medicine, Division of Oncology, Keck School of Medicine, Los Angeles, CA.
Julie JangUniversity of Southern California, Department of Medicine, Division of Oncology, Keck School of Medicine, Los Angeles, CA.
Sarah M ShinJohns Hopkins University, Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD.
Matthew JacoboUniversity of Southern California, Department of Medicine, Division of Oncology, Keck School of Medicine, Los Angeles, CA.
Vered StearnsWeill Cornell Medical Center, Cornell University, New York, NY.
Roisin M ConnollyUniversity College Cork, Cork, Ireland.
Won HoJohns Hopkins University, Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD.
Juliet EmamaulleeUniversity of Southern California, Department of Surgery, Keck School of Medicine, Los Angeles, CA.
Adam L MacLeanDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-0689-7907
Evanthia T Roussos TorresUniversity of Southern California, Department of Medicine, Division of Oncology, Keck School of Medicine, Los Angeles, CA.ORCID 0000-0002-0740-5102

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
Targeting myeloid suppression to enhance anti-tumor immunity in breast cancerR01CA283169 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Evanthia Theodosiou Roussos Torres · 2023 to 2026
$2.2M
Computational methods to predict gene regulatory network dynamics and cell state transitionsR35GM143019 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MACLEAN, ADAM L · 2021 to 2025
$2.1M
Immunologic Biomarkers of Rejection in Clinical Liver TransplantationK08CA245220 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EMAMAULLEE, JULIET · 2020 to 2024
$1.3M
NCI NIH HHS K08 CA245220NCI NIH HHS P30 CA014089NCI NIH HHS R01 CA283169NIGMS NIH HHS R35 GM143019
6 · The paper itself

Abstract

Sensitization of the immune-suppressed tumor microenvironment (TME) of breast cancer by histone deacetylase inhibition shows promise, but the mechanisms of sensitization are unknown. We investigated the TME of breast-to-lung metastases by combining experimental and clinical data with theory. Knowledge-guided subclustering of single-cell RNA-sequencing data and cell circuits analysis identified 39 cell states and salient interactions, of which myeloid, T cell and B cell subpopulations were most affected by treatment. Using functional immunologic assays, we verified that inhibition of the ICAM pathway partially recapitulated treatment effects. Mathematical modeling of tumor-immune dynamics confirmed that tumor reduction required simultaneous modulation of multiple TME interactions. We found evidence that treatment affected anti-tumor antibody production. Analysis of patient biopsies via spatial proteomics corroborated preclinical findings: in responders we observed increased B cell activation, mature tertiary lymphoid structures, and increased CD8+ T cell-macrophage distances with treatment. Overall, this study provides a framework for the discovery of cell-cell interactions that govern responses in complex TMEs.

Identifiers

PMID40661534
PMCPMC12258997

What OpenQuestion holds

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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.