Evidence map›Paper›PMID 38562454›Full record

ArticleArXiv2024

Computational modeling of the physical features that influence breast cancer invasion into adipose tissue.

Yitong Zheng, Dong Wang, Garrett Beeghly, Claudia Fischbach, Mark D Shattuck, Corey S O'Hern

Open access · goldAbstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 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
1.0field-weighted citation impact, top 29% 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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Yitong ZhengDepartment of Mechanical Engineering & Materials Science, Yale University, New Haven, Connecticut 06520.
Dong WangDepartment of Mechanical Engineering & Materials Science, Yale University, New Haven, Connecticut 06520.
Garrett BeeghlyNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853.
Claudia FischbachNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853.
Mark D ShattuckBenjamin Levich Institute and Physics Department, City College of New York, New York, New York 10031.
Corey S O'HernDepartment of Mechanical Engineering & Materials Science, Yale University, New Haven, Connecticut 06520.
Yale University · USCornell University · USCity College of New York · US

Funding

Project 3: Physical and Metabolic Constraints of Cancer Cell InvasionU54CA210184 · NCI · CORNELL UNIVERSITY · PI CERIONE, RICHARD A. · 2016 to 2020
$10.2M
Mechanical properties of adipose tissue and its effect on breast cancerR01CA276392 · NCI · CORNELL UNIVERSITY · PI Claudia Fischbach, Corey O'Hern · 2023 to 2026
$2.1M
Metabolic regulation of exosome biogenesis as a determinant of cancer cell metastasis.R01CA259195 · NCI · CORNELL UNIVERSITY · PI MARC A ANTONYAK, Claudia Fischbach · 2022 to 2026
$2.1M
Hypertrophic adipocytes as biophysical mediators of breast cancer progressionF31CA278410 · NCI · CORNELL UNIVERSITY · PI BEEGHLY, GARRETT F · 2023 to 2024
$74k
NCI NIH HHS F31 CA278410NCI NIH HHS R01 CA259195NCI NIH HHS R01 CA276392NCI NIH HHS U54 CA210184
6 · The paper itself

Abstract

Breast cancer invasion into adipose tissue strongly influences disease progression and metastasis. The degree of cancer cell invasion into adipose tissue depends on numerous biochemical and physical properties of cancer cells, adipocytes, and other key components of adipose tissue. We model breast cancer invasion into adipose tissue as a physical process by carrying out simulations of active, cohesive spherical particles (cancer cells) invading into confluent packings of deformable polyhedra (adipocytes). We quantify the degree of invasion by calculating the interfacial area

Identifiers

PMID38562454
PMCPMC10984007
OpenAlexW4393027157

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.