Evidence map›Paper›PMID 37322009›Full record

ArticleNature communications2023

A convolutional neural network STIFMap reveals associations between stromal stiffness and EMT in breast cancer.

Connor Stashko, Mary-Kate Hayward, Jason J Northey, Neil Pearson, Alastair J Ironside, Johnathon N Lakins, Roger Oria, Marie-Anne Goyette, Lakyn Mayo, Hege G Russnes and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
10.4field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 50 citations in OpenAlex.

  1. Trial
  2. Understanding and targeting the tumour matrisome.Nature reviews. Clinical oncology · 2026
    Review
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  5. Glutamine-dependent changes in fibroblast-derived extracellular matrix dictate cancer cell behavior.Matrix biology : journal of the International Society for Matrix Biology · 2026
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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

14 authors at 6 institutions in 3 countries.

Connor StashkoDepartment of Surgery, University of California, San Francisco, CA, USA.
Mary-Kate Hayward *Department of Surgery, University of California, San Francisco, CA, USA.ORCID 0000-0001-7482-5046
Jason J Northey *Department of Surgery, University of California, San Francisco, CA, USA.ORCID 0000-0003-3115-2560
Neil PearsonHarvey Mudd College, Claremont, CA, USA.
Alastair J IronsideDepartment of Pathology, Western General Hospital, NHS Lothian, Edinburgh, UK.
Johnathon N LakinsDepartment of Surgery, University of California, San Francisco, CA, USA.
Roger OriaDepartment of Surgery, University of California, San Francisco, CA, USA.ORCID 0000-0002-5974-9775
Marie-Anne GoyetteDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Lakyn MayoDepartment of Cell and Tissue Biology, School of Dentistry, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-6642-2332
Hege G RussnesDepartment of Pathology and Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0000-0001-8724-1891
E Shelley HwangDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Matthew L KutysDepartment of Cell and Tissue Biology, School of Dentistry, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-0752-649X
Kornelia PolyakDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0002-5964-0382
Valerie M WeaverDepartment of Surgery, University of California, San Francisco, CA, USA. valerie.weaver@ucsf.edu.ORCID 0000-0003-4786-6752
University of California, San Francisco · USDana-Farber Cancer Institute · USDuke Medical Center · USHarvey Mudd College · USNHS Lothian · GBOslo University Hospital · NO

Funding

Targeting intratumor heterogeneity in breast cancerR35CA197623 · NCI · DANA-FARBER CANCER INST · PI KORNELIA POLYAK · 2015 to 2026
$12.4M
Tissue mechanics reprograms the tissue to malignancy and metastasisR35CA242447 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VALERIE MARIE WEAVER · 2020 to 2026
$6.6M
Tissue Tension, RANK and Breast Cancer RiskR01CA222508 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HWANG, E.SHELLEY, WEAVER, VALERIE MARIE · 2018 to 2022
$2.8M
Non-canonical Notch1 regulation of proliferation and adherens junctions in breast cancerR00CA226366 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KUTYS, MATTHEW L · 2020 to 2022
$667k
Pacific Biosciences PacBio RS Single Molecule Real Time SequencerS10OD018174 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ROKHSAR, DANIEL SOLEYMAN · 2014 to 2014
$600k
Wide-field super-resolution spinning disk confocal microscopeS10OD028611 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTMANN, TORSTEN · 2020 to 2020
$600k
NCI NIH HHS R00 CA226366NCI NIH HHS R01 CA222508NCI NIH HHS R35 CA197623NCI NIH HHS R35 CA242447NIH HHS S10 OD018174NIH HHS S10 OD028611
6 · The paper itself

Abstract

Intratumor heterogeneity associates with poor patient outcome. Stromal stiffening also accompanies cancer. Whether cancers demonstrate stiffness heterogeneity, and if this is linked to tumor cell heterogeneity remains unclear. We developed a method to measure the stiffness heterogeneity in human breast tumors that quantifies the stromal stiffness each cell experiences and permits visual registration with biomarkers of tumor progression. We present Spatially Transformed Inferential Force Map (STIFMap) which exploits computer vision to precisely automate atomic force microscopy (AFM) indentation combined with a trained convolutional neural network to predict stromal elasticity with micron-resolution using collagen morphological features and ground truth AFM data. We registered high-elasticity regions within human breast tumors colocalizing with markers of mechanical activation and an epithelial-to-mesenchymal transition (EMT). The findings highlight the utility of STIFMap to assess mechanical heterogeneity of human tumors across length scales from single cells to whole tissues and implicates stromal stiffness in tumor cell heterogeneity.

Indexed as

Breast NeoplasmsCollagenElasticityFemaleHumansMechanical PhenomenaMicroscopy, Atomic ForceNeural Networks, ComputerCollagen

Identifiers

PMID37322009
PMCPMC10272194
OpenAlexW4380869984

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.