Evidence map›Paper›PMID 32455252›Full record

ArticleAPL bioengineering2020

Cell shape, and not 2D migration, predicts extracellular matrix-driven 3D cell invasion in breast cancer.

Janani P Baskaran, Anna Weldy, Justinne Guarin, Gabrielle Munoz, Polina H Shpilker, Michael Kotlik, Nandita Subbiah, Andrew Wishart, Yifan Peng, Miles A Miller and 2 more

Open access · goldAbstract read
In one paragraph

Article in APL bioengineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cyclic stretch inhibits cell invasion in 3D scaffolds.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Profiling Dynamic Patterns of Single-Cell Motility.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  18. Article
  19. Article
  20. Article
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 1 institution in 1 country.

Janani P BaskaranDepartment of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, USA.ORCID https://orcid.org/0000-0002-4764-9611
Anna WeldyDepartment of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, USA.
Justinne GuarinDepartment of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, USA.ORCID https://orcid.org/0000-0002-4373-9679
Gabrielle MunozDepartment of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, USA.
Polina H ShpilkerDepartment of Computer Science, Tufts University, Medford, Massachusetts 02155, USA.
Michael KotlikDepartment of Computer Science, Tufts University, Medford, Massachusetts 02155, USA.
Nandita SubbiahDepartment of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, USA.
Andrew WishartDepartment of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, USA.
Yifan PengDepartment of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, USA.
Miles A MillerCenter for Systems Biology, Massachusetts General Hospital Research Institute, Boston, Massachusetts 02114, USA.ORCID https://orcid.org/0000-0001-7638-8898
Lenore CowenDepartment of Computer Science, Tufts University, Medford, Massachusetts 02155, USA.
Madeleine J OudinDepartment of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, USA.ORCID https://orcid.org/0000-0001-6988-4260
Tufts University · US

Funding

Investigating the role of the extracellular matrix in metastasis and chemo-resistanceR00CA207866 · NCI · TUFTS UNIVERSITY MEDFORD · PI OUDIN, MADELEINE JULIE · 2018 to 2020
$696k
NCI NIH HHS R00 CA207866
6 · The paper itself

Abstract

Metastasis, the leading cause of death in cancer patients, requires the invasion of tumor cells through the stroma in response to migratory cues, in part provided by the extracellular matrix (ECM). Recent advances in proteomics have led to the identification of hundreds of ECM proteins, which are more abundant in tumors relative to healthy tissue. Our goal was to develop a pipeline to easily predict which ECM proteins are more likely to have an effect on cancer invasion and metastasis. We evaluated the effect of four ECM proteins upregulated in breast tumor tissue in multiple human breast cancer cell lines in three assays. There was no linear relationship between cell adhesion to ECM proteins and ECM-driven 2D cell migration speed, persistence, or 3D invasion. We then used classifiers and partial-least squares regression analysis to identify which metrics best predicted ECM-driven 2D migration and 3D invasion responses. We find that ECM-driven 2D cell migration speed or persistence did not predict 3D invasion in response to the same cue. However, cell adhesion, and in particular cell elongation and shape irregularity, accurately predicted the magnitude of ECM-driven 2D migration and 3D invasion. Our models successfully predicted the effect of novel ECM proteins in a cell-line specific manner. Overall, our studies identify the cell morphological features that determine 3D invasion responses to individual ECM proteins. This platform will help provide insight into the functional role of ECM proteins abundant in tumor tissue and help prioritize strategies for targeting tumor-ECM interactions to treat metastasis.

Identifiers

PMID32455252
PMCPMC7202897
OpenAlexW3022627403

What OpenQuestion holds

Textmetadata
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.