Evidence map›Paper›PMID 40858590›Full record

ArticleNPJ breast cancer2025

Single-cell RNA sequencing reveals different cellular states in malignant cells and the tumor microenvironment in primary and metastatic ER-positive breast cancer.

Furkan Ozmen, Tugba Y Ozmen, Aysegul Ors, Mahnaz Janghorban, Matthew J Rames, Xi Li, Aaron Reid Doe, Fariba Behbod, Gordon B Mills, Hisham Mohammed

Abstract read
In one paragraph

Article in NPJ breast cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Furkan Ozmen *Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA. ozmen@ohsu.edu.
Tugba Y Ozmen *Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
Aysegul Ors *Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
Mahnaz JanghorbanDivision of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
Matthew J RamesDivision of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
Xi LiDivision of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
Aaron Reid DoeCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
Fariba BehbodUniversity of Kansas Medical Center, Kansas City, KS, USA.
Gordon B MillsDivision of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
Hisham MohammedCancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.

Funding

RADx-UP: Improving the Response of Local Urban and Rural Communities to Disparities in Covid-19 TestingUL1TR002366 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Mario Castro, JAMES STEVEN LEEDER · 2017 to 2026
$44.3M
Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI NICOLE L NOLLEN · 2012 to 2026
$40.1M
Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ANDREW K. GODWIN · 2019 to 2026
$21.5M
Systematic Characterization and Targeting of Neomorphic Drivers in CancerU01CA281902 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Benjamin Deneen, Han Liang · 2023 to 2026
$3.5M
Mechanistic maps of adaptive responses to therapeutic stress to optimize combination therapies.U01CA253472 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI KORKUT, ANIL, LIANG, HAN · 2021 to 2025
$2.6M
Identifying the Molecular and Cellular Basis of Invasive Phenotype in Human DCISR01CA207445 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BEHBOD, FARIBA · 2017 to 2019
$1.7M
A novel N-Ras pathway driving DCIS to basal-like breast cancerR21CA226567 · NCI · BAYLOR COLLEGE OF MEDICINE · PI CHANG, ERIC C · 2018 to 2019
$377k
Breast Cancer Research Foundation BCRF-24-110NCATS NIH HHS UL1 TR002366NCI NIH HHS NCI U01 CA 281902NCI NIH HHS P30 CA168524NCI NIH HHS R01 CA207445NCI NIH HHS R21 CA226567NCI NIH HHS U01 CA253472NCI NIH HHS U01 CA281902NIGMS NIH HHS P20 GM130423
6 · The paper itself

Abstract

Metastatic breast cancer remains largely incurable, and the mechanisms driving the transition from primary to metastatic breast cancer remain elusive. We analyzed the complex landscape of estrogen receptor (ER)-positive breast cancer primary and metastatic tumors using scRNA-seq data from twenty-three female patients with either primary or metastatic disease. By employing single-cell transcriptional profiling of unpaired patient samples, we sought to elucidate the genetic and molecular mechanisms underlying changes in the metastatic tumor ecosystem. We identified specific subtypes of stromal and immune cells critical to forming a pro-tumor microenvironment in metastatic lesions, including CCL2+ macrophages, exhausted cytotoxic T cells, and FOXP3+ regulatory T cells. Analysis of cell-cell communication highlights a marked decrease in tumor-immune cell interactions in metastatic tissues, likely contributing to an immunosuppressive microenvironment. In contrast, primary breast cancer samples displayed increased activation of the TNF-α signaling pathway via NF-kB, indicating a potential therapeutic target. Our study comprehensively characterizes the transcriptional landscape encompassing primary and metastatic breast cancer.

Identifiers

PMID40858590
PMCPMC12381257

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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.