Evidence map›Paper›PMID 36002598›Full record

ArticleClinical & experimental metastasis2022

Single-cell RNA-sequencing identifies anti-cancer immune phenotypes in the early lung metastatic niche during breast cancer.

Sophia M Orbach, Michael D Brooks, Yining Zhang, Scott E Campit, Grace G Bushnell, Joseph T Decker, Ryan J Rebernick, Sriram Chandrasekaran, Max S Wicha, Jacqueline S Jeruss and 1 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Clinical & experimental metastasis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

16 citing papers in PubMed, 19 citations in OpenAlex.

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  13. Cell-cell communication characteristics in breast cancer metastasis.Cell communication and signaling : CCS · 2024
    Review
  14. An engineered niche delineates metastatic potential of breast cancer.Bioengineering & translational medicine · 2024
    Article
  15. Article
  16. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Sophia M OrbachDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Michael D BrooksDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Yining ZhangDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA.
Scott E CampitProgram in Chemical Biology, University of Michigan, Ann Arbor, MI, USA.
Grace G BushnellDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Joseph T DeckerDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Ryan J RebernickMedical Science Training Program, University of Michigan, Ann Arbor, MI, USA.
Sriram ChandrasekaranDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Max S WichaDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Jacqueline S JerussDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Lonnie D SheaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA. ldshea@umich.edu.ORCID http://orcid.org/0000-0002-9296-9673
University of Michigan · US

Funding

Targeting breast cancer stem cellsR35CA197585 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WICHA, MAX S. · 2016 to 2022
$6.4M
Proteogenomics of Cancer Training ProgramT32CA140044 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, ARVIND, SARTOR, MAUREEN AGNES · 2010 to 2024
$3.9M
Linking metabolic activity with drug sensitivity using metabolic influence networksR35GM137795 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sriram Chandrasekaran · 2020 to 2026
$2.6M
Identifying intercellular circuits driving cell phenotypes within a nicheR01CA243916 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JERUSS, JACQUELINE SARA, SHEA, LONNIE D · 2019 to 2023
$2.3M
Measuring Signaling Pathway Dynamics During Tissue Growth in HydrogelsR01CA214384 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JERUSS, JACQUELINE SARA, SHEA, LONNIE D · 2017 to 2021
$1.8M
Chimeric Antigen Receptor T Cell Design Through Living Cell Systems BiologyK01EB028877 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DECKER, JOSEPH THOMAS · 2019 to 2022
$492k
Heterogeneity of the Early Metastatic Niche in Cancer Progression and ChemoresistanceF32CA243421 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ORBACH, SOPHIA M · 2019 to 2021
$194k
Heterogeneity of early metastatic tumor cellsF31CA224982 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BUSHNELL, GRACE GILMORE · 2018 to 2019
$56k
NCI NIH HHS F31 CA224982NCI NIH HHS F32 CA243421NCI NIH HHS R01 CA214384NCI NIH HHS R01 CA243916NCI NIH HHS R35 CA197585NCI NIH HHS T32 CA140044NIBIB NIH HHS K01 EB028877
6 · The paper itself

Abstract

Microenvironmental changes in the early metastatic niche may be exploited to identify therapeutic targets to inhibit secondary tumor formation and improve disease outcomes. We dissected the developing lung metastatic niche in a model of metastatic, triple-negative breast cancer using single-cell RNA-sequencing. Lungs were extracted from mice at 7-, 14-, or 21 days after tumor inoculation corresponding to the pre-metastatic, micro-metastatic, and metastatic niche, respectively. The progression of the metastatic niche was marked by an increase in neutrophil infiltration (5% of cells at day 0 to 81% of cells at day 21) and signaling pathways corresponding to the hallmarks of cancer. Importantly, the pre-metastatic and early metastatic niche were composed of immune cells with an anti-cancer phenotype not traditionally associated with metastatic disease. As expected, the metastatic niche exhibited pro-cancer phenotypes. The transition from anti-cancer to pro-cancer phenotypes was directly associated with neutrophil and monocyte behaviors at these time points. Predicted metabolic, transcription factor, and receptor-ligand signaling suggested that changes in the neutrophils likely induced the transitions in the other immune cells. Conditioned medium generated by cells extracted from the pre-metastatic niche successfully inhibited tumor cell proliferation and migration in vitro and the in vivo depletion of pre-metastatic neutrophils and monocytes worsened survival outcomes, thus validating the anti-cancer phenotype of the developing niche. Genes associated with the early anti-cancer response could act as biomarkers that could serve as targets for the treatment of early metastatic disease. Such therapies have the potential to revolutionize clinical outcomes in metastatic breast cancer.

Indexed as

Breast NeoplasmsLung NeoplasmsTriple Negative Breast NeoplasmsAnimalsCell Line, TumorFemaleHumansLungMiceNeoplasm MetastasisPhenotypeRNATumor MicroenvironmentRNAAnti-cancer signalingBreast cancerCancer immunologyMetastasisSingle-cell sequencing

Identifiers

PMID36002598
PMCPMC9643644
OpenAlexW4293103645

What OpenQuestion holds

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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 OpenQuestion graph.