Evidence map›Paper›PMID 37935340›Full record

ArticleCellular signalling2024

Functional delineation of the luminal epithelial microenvironment in breast using cell-based screening in combinatorial microenvironments.

Tiina A Jokela, Mark A Dane, Rebecca L Smith, Kaylyn L Devlin, Sundus Shalabi, Jennifer C Lopez, Masaru Miyano, Martha R Stampfer, James E Korkola, Joe W Gray and 2 more

Open access · greenAbstract read
In one paragraph

Article in Cellular signalling, 2024. 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, top 50% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

12 authors at 3 institutions in 2 countries.

Tiina A JokelaDepartment of Population Sciences, Center for Cancer and Aging, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010, USA.
Mark A DaneDepartment of Biomedical Engineering, Oregon Health Sciences University, Portland, OR, USA.
Rebecca L SmithDepartment of Biomedical Engineering, Oregon Health Sciences University, Portland, OR, USA.
Kaylyn L DevlinDepartment of Biomedical Engineering, Oregon Health Sciences University, Portland, OR, USA.
Sundus ShalabiDepartment of Population Sciences, Center for Cancer and Aging, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010, USA; Faculty of Medicine, Arab American University of Palestine, Jenin, Palestine.
Jennifer C LopezDepartment of Population Sciences, Center for Cancer and Aging, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010, USA.
Masaru MiyanoDepartment of Population Sciences, Center for Cancer and Aging, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010, USA.
Martha R StampferBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
James E KorkolaDepartment of Biomedical Engineering, Oregon Health Sciences University, Portland, OR, USA.
Joe W GrayDepartment of Biomedical Engineering, Oregon Health Sciences University, Portland, OR, USA.
Laura M HeiserDepartment of Biomedical Engineering, Oregon Health Sciences University, Portland, OR, USA. Electronic address: heiserl@ohsu.edu.
Mark A LaBargeDepartment of Population Sciences, Center for Cancer and Aging, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010, USA; Center for Cancer Biomarkers Research (CCBIO), University of Bergen, Bergen, Norway; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. Electronic address: mlabarge@coh.org.
Oregon Health & Science University · USCity Of Hope National Medical Center · USLawrence Berkeley National Laboratory · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI John Charles Williams · 1985 to 2026
$86.3M
OutreachU54HG008100 · NHGRI · OREGON HEALTH & SCIENCE UNIVERSITY · PI GRAY, JOE W., HEISER, LAURA MADELINE · 2014 to 2019
$10.5M
Mechanical Phenotyping of Random Periaerolar Fine Needle Aspiration-Collected Cells for Early Breast Cancer DetectionR01EB024989 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI Mark A LaBarge, Lydia L Sohn · 2017 to 2026
$4.8M
NCI NIH HHS P30 CA033572NHGRI NIH HHS U54 HG008100NIBIB NIH HHS R01 EB024989
6 · The paper itself

Abstract

Microenvironment signals are potent determinants of cell fate and arbiters of tissue homeostasis, however understanding how different microenvironment factors coordinately regulate cellular phenotype has been experimentally challenging. Here we used a high-throughput microenvironment microarray comprised of 2640 unique pairwise signals to identify factors that support proliferation and maintenance of primary human mammary luminal epithelial cells. Multiple microenvironment factors that modulated luminal cell number were identified, including: HGF, NRG1, BMP2, CXCL1, TGFB1, FGF2, PDGFB, RANKL, WNT3A, SPP1, HA, VTN, and OMD. All of these factors were previously shown to modulate luminal cell numbers in painstaking mouse genetics experiments, or were shown to have a role in breast cancer, demonstrating the relevance and power of our high-dimensional approach to dissect key microenvironmental signals. RNA-sequencing of primary epithelial and stromal cell lineages identified the cell types that express these signals and the cognate receptors in vivo. Cell-based functional studies confirmed which effects from microenvironment factors were reproducible and robust to individual variation. Hepatocyte growth factor (HGF) was the factor most robust to individual variation and drove expansion of luminal cells via cKit+ progenitor cells, which expressed abundant MET receptor. Luminal cells from women who are genetically high risk for breast cancer had significantly more MET receptor and may explain the characteristic expansion of the luminal lineage in those women. In ensemble, our approach provides proof of principle that microenvironment signals that control specific cellular states can be dissected with high-dimensional cell-based approaches.

Indexed as

Breast NeoplasmsEpithelial CellsAnimalsCell DifferentiationFemaleHumansMiceReceptor Protein-Tyrosine KinasesTumor MicroenvironmentReceptor Protein-Tyrosine KinasesCell fate dterminationHepatocyte growth factorHigh-throughput microarrayMammary glandMicroenvironment signalsTissue homestasis;

Identifiers

PMID37935340
PMCPMC10696611
OpenAlexW4388378660

What Socratic holds

Textmetadata
LicenceTDM
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.